Writing.io Jobs

About the Company:

Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.

Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!

Netomi is seeking a highly analytical and detail-oriented candidate to join the Analytics team in Gurugram. As part of the team, you will work with data science, product, engineering, and customer success teams to drive complex data and trend analyses to propose ways to improve and thereby contribute to improving the experience. You will also be responsible for benchmarking and measuring the performance of various product operations projects, building and publishing detailed scorecards and reports, identifying and driving new opportunities based on customer and business data.

We are looking for an Engineer with a passion for using data to discover and solve real-world problems. You will enjoy working with rich data sets, modern business intelligence technology, and the ability to see your insights drive the features for our customers. You will also have the opportunity to contribute to the development of policies, processes, and tools to address product quality challenges in collaboration with teams.

Responsibilities

• Architect and implement scalable, secure, and reliable data pipelines using modern data platforms (e.g., Spark, Databricks, Airflow, Snowflake, etc.).
• Develop ETL/ELT processes to ingest data from various structured and unstructured sources.
• Perform Exploratory Data Analysis (EDA) to uncover trends, validate data integrity, and derive insights that inform data product development and business decisions.
• Collaborate closely with data scientists, analysts, and software engineers to design data models that support high-quality analytics and real-time insights.
• Write clean, maintainable code with comprehensive unit and integration tests to ensure reliability and stability in Python.
• Thrive in an agile, collaborative environment and take ownership of end-to-end feature delivery.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 2+ years of hands-on experience in data engineering or backend software development roles.
• Solid understanding of Relational Databases (RDS, MySQL, PostgreSQL).
• Experience with Apache Kafka or RabbitMQ for building asynchronous, decoupled systems.
• Proficiency with Python, SQL, and at least one data pipeline orchestration tool (e.g., Apache Airflow, Luigi, Prefect).
• Strong experience with cloud-based data platforms (e.g., AWS Redshift, GCP BigQuery, Snowflake, Databricks).
• Deep understanding of data modeling, data warehousing, and distributed systems.

Additional Skills

• Familiarity with DevOps practices (CI/CD, infrastructure as code, containerization with Docker/Kubernetes).
• Exposure to AI/ML-integrated solutions or interest in working alongside data science teams.
• Knowledge of data security and privacy regulations (e.g., GDPR, HIPAA).
• Familiarity with prompt engineering and how LLM-based systems interact with data.

Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About the Company:

Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.

Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!

Netomi is seeking a highly analytical and detail-oriented candidate to join the Analytics team in Gurugram. As part of the team, you will work with data science, product, engineering, and customer success teams to drive complex data and trend analyses to propose ways to improve and, thereby contributing to improve the experience. You will also be responsible for benchmarking and measuring the performance of various product operations projects, building and publishing detailed scorecards and reports, identifying and driving new opportunities based on customer and business data.

We are looking for an Engineer with a passion for using data to discover and solve real-world problems. You will enjoy working with rich data sets, modern business intelligence technology, and the ability to see your insights drive the features for our customers. You will also have the opportunity to contribute to the development of policies, processes, and tools to address product quality challenges in collaboration with teams.

Responsibilities:

• Architect and implement scalable, secure, and reliable data pipelines using modern data platforms (e.g., Spark, Databricks, Airflow, Snowflake, etc.).
• Develop ETL/ELT processes to ingest data from various structured and unstructured sources.
• Perform Exploratory Data Analysis (EDA) to uncover trends, validate data integrity, and derive insights that inform data product development and business decisions.
• Collaborate closely with data scientists, analysts, and software engineers to design data models that support high-quality analytics and real-time insights.
• Write clean, maintainable code with comprehensive unit and integration tests to ensure reliability and stability in Python.
• Thrive in an agile, collaborative environment and take ownership of end-to-end feature delivery.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 4+ years of hands-on experience in data engineering or backend software development roles.
• Solid understanding of Relational Databases (RDS, MySQL, PostgreSQL).
• Experience with Apache Kafka or RabbitMQ for building asynchronous, decoupled systems.
• Proficiency with Python, SQL, and at least one data pipeline orchestration tool (e.g., Apache Airflow, Luigi, Prefect).
• Strong experience with cloud-based data platforms (e.g., AWS Redshift, GCP BigQuery, Snowflake, Databricks).
• Deep understanding of data modeling, data warehousing, and distributed systems.

Additional Skills:

• Familiarity with DevOps practices (CI/CD, infrastructure as code, containerization with Docker/Kubernetes).
• Exposure to AI/ML-integrated solutions or interest in working alongside data science teams.
• Knowledge of data security and privacy regulations (e.g., GDPR, HIPAA).
• Familiarity with prompt engineering and how LLM-based systems interact with data

Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About the Company

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.

A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.

Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.

Meet the Team

As a Senior Machine Learning Engineer – Camera Models, you will develop and deploy machine learning models that power camera-based perception for autonomous trucks. The Camera Models team builds and maintains core vision systems that enable the autonomy stack to understand the environment, detect and localize objects, and estimate scene structure from camera data.

Working closely with teams across perception, data, and infrastructure, you will own the development and improvement of robust, scalable camera-based models that support safe and reliable autonomous driving in real-world freight environments.

This role focuses on owning model development for scoped problem areas, improving system performance through iteration, and delivering production-ready machine learning solutions within the autonomy stack.

What You’ll Do

• Design, develop, and deploy deep learning models for camera-based perception (e.g., object detection, segmentation, depth estimation, scene understanding)
• Own end-to-end model development for scoped areas, from data curation and training to evaluation and deployment
• Write production-quality ML code to support scalable training, evaluation, and inference pipelines
• Analyze model performance across diverse driving scenarios, identify failure modes, and improve robustness and generalization
• Contribute to and improve large-scale training pipelines, including dataset preparation, distributed training, and experiment tracking
• Partner with data teams to improve dataset quality, including labeling strategies and coverage of edge cases
• Collaborate with perception, simulation, and validation teams to evaluate and integrate models into the autonomy stack
• Improve tooling, workflows, and infrastructure to accelerate experimentation and model iteration
• Contribute to model architecture decisions and technical discussions within the team
• Mentor junior engineers on implementation, debugging, and best practices

What You’ll Need to Succeed

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 6+ years of industry experience, OR Master’s degree with 3+ years OR PhD with 1+ years of experience
• Experience developing and deploying deep learning models for computer vision or perception systems
• Strong programming skills in Python and PyTorch, with experience writing production-quality ML code
• Experience training and evaluating models using large-scale datasets and distributed compute environments
• Solid understanding of modern deep learning architectures used in perception (e.g., CNNs, transformers, multi-task models)
• Experience debugging model behavior, analyzing performance metrics, and improving model reliability
• Ability to translate ambiguous problems into structured ML solutions and deliver independently
• Experience collaborating cross-functionally to integrate ML models into larger autonomy or robotics systems

Bonus Points:

• Experience in autonomous driving, robotics, or simulation-based ML systems
• Experience with multi-task learning or unified perception architectures
• Experience with large-scale data pipelines, distributed training systems (e.g., Ray), or experiment management frameworks
• Familiarity with camera calibration, geometric reasoning, or 3D perception from images (e.g., BEV, monocular depth, structure-from-motion)
• Experience deploying ML models into production or real-world robotics systems

Work Location: For this position, we are open to hiring in either the Ann Arbor, MI OR Blacksburg, VA (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States

Perks of Being a Full-time Torc’r

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:

• A competitive compensation package that includes a bonus component and stock options
• 100% paid medical, dental, and vision premiums for full-time employees
• 401K plan with a 6% employer match
• Flexibility in schedule and generous paid vacation (available immediately after start date)
• Company-wide holiday office closures
• AD+D and Life Insurance

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.

Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc’s total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Job ID: 102952

Hiring Range for Job Opening

US Pay Range

$177,300—$212,800 USD

About the Company

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.

A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.

Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.

Meet the Team

As a Senior Machine Learning Engineer – Camera Models, you will develop and deploy machine learning models that power camera-based perception for autonomous trucks. The Camera Models team builds and maintains core vision systems that enable the autonomy stack to understand the environment, detect and localize objects, and estimate scene structure from camera data.

Working closely with teams across perception, data, and infrastructure, you will own the development and improvement of robust, scalable camera-based models that support safe and reliable autonomous driving in real-world freight environments.

This role focuses on owning model development for scoped problem areas, improving system performance through iteration, and delivering production-ready machine learning solutions within the autonomy stack.

What You’ll Do

• Design, develop, and deploy deep learning models for camera-based perception (e.g., object detection, segmentation, depth estimation, scene understanding)
• Own end-to-end model development for scoped areas, from data curation and training to evaluation and deployment
• Write production-quality ML code to support scalable training, evaluation, and inference pipelines
• Analyze model performance across diverse driving scenarios, identify failure modes, and improve robustness and generalization
• Contribute to and improve large-scale training pipelines, including dataset preparation, distributed training, and experiment tracking
• Partner with data teams to improve dataset quality, including labeling strategies and coverage of edge cases
• Collaborate with perception, simulation, and validation teams to evaluate and integrate models into the autonomy stack
• Improve tooling, workflows, and infrastructure to accelerate experimentation and model iteration
• Contribute to model architecture decisions and technical discussions within the team
• Mentor junior engineers on implementation, debugging, and best practices

What You’ll Need to Succeed

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 6+ years of industry experience, OR Master’s degree with 3+ years OR PhD with 1+ years of experience
• Experience developing and deploying deep learning models for computer vision or perception systems
• Strong programming skills in Python and PyTorch, with experience writing production-quality ML code
• Experience training and evaluating models using large-scale datasets and distributed compute environments
• Solid understanding of modern deep learning architectures used in perception (e.g., CNNs, transformers, multi-task models)
• Experience debugging model behavior, analyzing performance metrics, and improving model reliability
• Ability to translate ambiguous problems into structured ML solutions and deliver independently
• Experience collaborating cross-functionally to integrate ML models into larger autonomy or robotics systems

Bonus Points:

• Experience in autonomous driving, robotics, or simulation-based ML systems
• Experience with multi-task learning or unified perception architectures
• Experience with large-scale data pipelines, distributed training systems (e.g., Ray), or experiment management frameworks
• Familiarity with camera calibration, geometric reasoning, or 3D perception from images (e.g., BEV, monocular depth, structure-from-motion)
• Experience deploying ML models into production or real-world robotics systems

Work Location: For this position, we are open to hiring in Montreal, Canada or remote within Canada

Perks of Being a Full-time Torc’r (Canada)

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:

• A competitive compensation package that includes a bonus component and stock options
• Medical, dental, and vision for full-time employees
• RRSP plan with a 6% employer match
• Public Transit Subsidy (Montreal area only)
• Flexibility in schedule and generous paid vacation
• Company-wide holiday office closures
• Life Insurance

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.

Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc’s total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Job ID: 102952

Salary Range: $168,000-$193,000 CAD

Description

We are looking for a Senior iOS Developer to join our growing mobile engineering team. This role is ideal for a developer with solid foundational experience who can contribute to production-grade mobile applications, work within established codebases, and collaborate effectively in a team-driven delivery environment.

You will be responsible for building high-quality, scalable iOS applications while continuously improving your technical depth across Swift, architecture, testing, and modern mobile development practices.

Why Join DVT?

• Work on innovative projects with global industry leaders

• Collaborate with top developers in a supportive and forward-thinking environment

• Access to continuous learning and career development opportunities

• Be part of a culture of innovation where your ideas and impact truly matter

• Thrive in a team that values excellence, creativity, and collaboration

This is your opportunity to redefine mobile development and shape the future of software engineering. If you’re ready to elevate your career and make a real impact, apply today and become part of DVT’s journey of excellence.

Requirements

Key Responsibilities

• Develop and enhance iOS applications using UIKit and SwiftUI

• Collaborate with designers, backend engineers, and product stakeholders to deliver seamless user experiences

• Write clean, maintainable, and testable code aligned to industry best practices

• Integrate RESTful APIs and support WebView-based journeys where required

• Participate in SDLC processes, including estimation, development, code reviews, testing, and release cycles

• Support debugging, troubleshooting, and production issue resolution using a structured approach

• Contribute to team-based delivery, adhering to shared coding standards, Git workflows, and engineering practices

• Stay up to date with industry trends and contribute to innovation within the mobile practice

Required Experience & Skills

Core iOS Development

• 7+ years’ experience in iOS/mobile development

• Strong knowledge of iOS native frameworks and first-party APIs

• Experience with UIKit and/or SwiftUI in production environments

• Solid understanding of app lifecycle, navigation, and UI performance considerations

Swift & Language Fundamentals

• Strong understanding of Swift fundamentals, including:

  • Structs vs classes, protocols, and abstraction

  • Memory management (ARC, retain cycles)

  • Error handling and collections

• Experience with modern concurrency (async/await, GCD, or Combine)

Architecture & Code Quality

• Experience working with MVVM or similar architectural patterns

• Understanding of separation of concerns and modular application design

• Ability to work within an existing codebase and adapt to established patterns

• Exposure to clean code principles and design patterns

Testing & Delivery

• Experience with unit testing concepts and frameworks

• Understanding of mocking, dependency injection, and testable code design

• Familiarity with Git workflows, code reviews, and collaborative development practices

Mobile Engineering Fundamentals

• Understanding of API integration and asynchronous data handling

• Awareness of mobile security best practices (secure storage, authentication, data handling)

• Exposure to versioning, release processes, and CI/CD principles

Nice to Have

• Experience with SwiftUI advanced concepts (state management, lifecycle handling, localisation)

• Familiarity with dependency injection frameworks

• Exposure to analytics, monitoring, or crash reporting tools

• Experience working in large-scale or enterprise environments

Additional Experience

• Authentication and security experience would be beneficial

• Security and role-based feature provisioning experience would be beneficial

Key Competencies

• Strong problem-solving and analytical thinking

• Ability to explain technical decisions and trade-offs clearly

• Excellent collaboration and communication skills

• Comfortable working in structured, team-based delivery environments

• Passion for continuous learning and improvement

What Success Looks Like

• You can contribute meaningfully to an existing codebase with minimal ramp-up

• You actively participate in team discussions, code reviews, and delivery

• You demonstrate growth in technical depth, testing practices, and architectural understanding

• You take ownership of features from development through to production support

Who we are:

About CoLab

At CoLab, we help mechanical engineering teams bring life-changing products to market years sooner.

We build AI for engineers designing cars, medical devices, and jet engines. Products this complex aren’t sketched and sent to production. Teams spend months on iterations, reviews, and tests, predicting how every part performs before anything is built. CoLab is where those reviews happen, and we capture the rationale behind every change. Other tools show what changed between versions. Only CoLab knows why. That’s how our AI helps manufacturers like Bobcat, Triumph Motorcycles, and GE Appliances make better decisions, eliminate rework cycles, and get to market faster.

Proudly based in St. John’s, Newfoundland, CoLab started with one customer in 2018. Since then we’ve raised a $72M Series C, been named the 57th fastest growing company in North America by Deloitte (Fast 500™), signed multi-year AI partnerships with companies like Bombardier, and grown to a team of 250+.

About the Role

We’re hiring an Engineering Manager to lead the team building AutoReview—CoLab’s AI-powered capabilities for automating mechanical design review.

This is a people leadership role that requires real technical depth. You won’t need to be the engineer writing every solution, but you should understand software and web architecture well enough to pressure-test an approach, spot when an estimate doesn’t add up, and ask the question that changes the conversation.

You’ll work closely with Product to turn broad ideas into a roadmap the team can confidently execute. That includes making early calls on feasibility and scope, then giving engineers the context and autonomy to work through the details.

The technical problems are substantial: DFM checks, clash detection, BOM consolidation, clearance analysis, bulk AutoReview workflows, and increasingly, the intersection of 2D engineering data and machine learning.

Our Ideal Candidate

• You’ve managed engineers working on technically complex web applications—ideally involving geometry, 3D data, geometric processing, CAD, graphics, or adjacent domains.
• You care deeply about people and understand the technology they’re building. You stay connected enough to the work to identify risks early without becoming the person everyone depends on for every decision.
• This team is smart, motivated, and eager to move. Your job isn’t to manufacture ambition; it’s to provide clarity so that ambition is focused on the right problems.
• You’ll also help establish clearer, respectful boundaries between Engineering and Product ownership. If you enjoy building that kind of trusting partnership while navigating ambiguity, you’ll do well here.

Job Responsibilities

• Lead, coach, and support the engineers responsible for Build AutoReview.
• Partner closely with Product to define priorities, assess feasibility, roughly scope initiatives, and build realistic timelines.
• Maintain enough technical context across projects to surface risks, dependencies, and questionable assumptions early.
• Help the team deliver major AutoReview initiatives, including DFM checks, assembly analysis, and bulk review workflows.
• Work across Engineering, Product, and the applied ML Team as AutoReview expands into areas where ownership and technical approaches are still evolving.
• Create focus when priorities change quickly because of new customer insight, technical developments, or advances in AI and ML.
• Build an environment where engineers have clear context, meaningful ownership, and the support to do excellent work.

Qualifications

• Experience managing software engineers in a technically complex product domain.
• Strong technical foundation in modern web application and software architecture.
• Experience with geometric processing, 3D/CAD applications, graphics, or similar technical systems is a strong asset.
• Demonstrated ability to partner with Product on roadmap planning, technical feasibility, estimation, and prioritization.
• Comfortable navigating evolving AI/ML technologies and understanding how they affect product and architecture decisions.
• Able to move quickly through new information, make thoughtful decisions, and communicate tradeoffs clearly.

Extra Details

This is a full-time, permanent position with a competitive compensation package that includes stock options. We offer comprehensive benefits and flexible vacation. This is a remote position open in Canada and the US.

Equity Note

Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic and apply even if you don’t meet every single qualification—your potential is what matters most to us.

About CoLab

At CoLab, we help mechanical engineering teams bring life-changing products to market years sooner.

We build AI for engineers designing cars, medical devices, and jet engines. Products this complex aren’t sketched and sent to production. Teams spend months on iterations, reviews, and tests, predicting how every part performs before anything is built. CoLab is where those reviews happen, and we capture the rationale behind every change. Other tools show what changed between versions. Only CoLab knows why. That’s how our AI helps manufacturers like Bobcat, Triumph Motorcycles, and GE Appliances make better decisions, eliminate rework cycles, and get to market faster.

Proudly based in St. John’s, Newfoundland, CoLab started with one customer in 2018. Since then we’ve raised a $72M Series C, been named the 57th fastest growing company in North America by Deloitte (Fast 500™), signed multi-year AI partnerships with companies like Bombardier, and grown to a team of 250+.

About the Role

We’re hiring an Engineering Manager to lead the team building AutoReview—CoLab’s AI-powered capabilities for automating mechanical design review.

This is a people leadership role that requires real technical depth. You won’t need to be the engineer writing every solution, but you should understand software and web architecture well enough to pressure-test an approach, spot when an estimate doesn’t add up, and ask the question that changes the conversation.

You’ll work closely with Product to turn broad ideas into a roadmap the team can confidently execute. That includes making early calls on feasibility and scope, then giving engineers the context and autonomy to work through the details.

The technical problems are substantial: DFM checks, clash detection, BOM consolidation, clearance analysis, bulk AutoReview workflows, and increasingly, the intersection of 2D engineering data and machine learning.

Our Ideal Candidate

• You’ve managed engineers working on technically complex web applications—ideally involving geometry, 3D data, geometric processing, CAD, graphics, or adjacent domains.
• You care deeply about people and understand the technology they’re building. You stay connected enough to the work to identify risks early without becoming the person everyone depends on for every decision.
• This team is smart, motivated, and eager to move. Your job isn’t to manufacture ambition; it’s to provide clarity so that ambition is focused on the right problems.
• You’ll also help establish clearer, respectful boundaries between Engineering and Product ownership. If you enjoy building that kind of trusting partnership while navigating ambiguity, you’ll do well here.

Job Responsibilities

• Lead, coach, and support the engineers responsible for Build AutoReview.
• Partner closely with Product to define priorities, assess feasibility, roughly scope initiatives, and build realistic timelines.
• Maintain enough technical context across projects to surface risks, dependencies, and questionable assumptions early.
• Help the team deliver major AutoReview initiatives, including DFM checks, assembly analysis, and bulk review workflows.
• Work across Engineering, Product, and the applied ML Team as AutoReview expands into areas where ownership and technical approaches are still evolving.
• Create focus when priorities change quickly because of new customer insight, technical developments, or advances in AI and ML.
• Build an environment where engineers have clear context, meaningful ownership, and the support to do excellent work.

Qualifications

• Experience managing software engineers in a technically complex product domain.
• Strong technical foundation in modern web application and software architecture.
• Experience with geometric processing, 3D/CAD applications, graphics, or similar technical systems is a strong asset.
• Demonstrated ability to partner with Product on roadmap planning, technical feasibility, estimation, and prioritization.
• Comfortable navigating evolving AI/ML technologies and understanding how they affect product and architecture decisions.
• Able to move quickly through new information, make thoughtful decisions, and communicate tradeoffs clearly.

Extra Details

This is a full-time, permanent position with a competitive compensation package that includes stock options. We offer comprehensive benefits and flexible vacation. This is a remote position open in Canada and the US.

Equity Note

Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic and apply even if you don’t meet every single qualification—your potential is what matters most to us.

Who we are

Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot.

Typeform is fully remote by design. For this role, we can hire candidates based in the ET timezone in the US.

About the team

The AI Engineering team builds the systems and capabilities behind Typeform’s AI products, including Research Flow, our platform for combining quantitative research with deeper qualitative insights.

We use machine learning, large language models, RAG, and agentic systems to help customers collect, understand, and act on information in more conversational and personalised ways.

Through Research Flow, this includes helping customers design studies, run AI-moderated conversations with adaptive follow-up questions, and turn responses into useful insights.

The team owns the journey from experimentation through to production. This includes AI application development, evaluation, infrastructure, deployment, observability, reliability, and performance.

You will work closely with Product Managers, Software Engineers, Data Scientists, Data Engineers, and Analytics teams to turn promising AI ideas into secure, scalable, and dependable customer experiences.

About the role

As a Senior AI Engineer at Typeform, you will be instrumental in building and evolving the AI capabilities behind Research Flow, alongside our broader AI products.

Your work will help customers understand the “why” behind responses and move from research questions to informed decisions faster.

Your scope will span generative AI applications, enterprise RAG systems, agentic workflows, model evaluation, machine learning pipelines, and the infrastructure required to run them reliably at scale.

This is a hands-on engineering role with strong ownership. You will turn ideas and prototypes into production systems used by our customers, with direct influence on their quality and performance. You will also help define the technical standards for developing, evaluating, deploying, and monitoring AI across Typeform.

Things you will do

Build and deliver AI products

• Design, build, and deploy generative AI capabilities across Typeform’s products, with a key contribution to Research Flow.
• Develop applications using large language models, RAG, vector search, and agentic systems.
• Build services and APIs that allow product teams to integrate AI capabilities into customer experiences.
• Turn prototypes into reliable production systems with clear measures of performance and quality.
• Explore new ways for customers to collect, understand, and act on information using AI.

Build scalable AI systems

• Design and operate machine learning services and workflows using Python, Docker, Kubernetes, and AWS.
• Build reliable pipelines for batch and real time processing using technologies such as Kafka and Airflow.
• Design solutions using vector databases to support retrieval, recommendations, personalisation, and semantic search.
• Use MLflow to manage experiments, model versions, registries, and deployments.
• Improve the reliability, performance, scalability, and cost efficiency of our AI systems.

Evaluate and improve AI quality

• Build automated evaluation pipelines for generative AI applications, including the conversational and analytical capabilities behind Research Flow.
• Develop benchmarks that measure accuracy, relevance, reliability, fairness, latency, and cost.
• Evaluate retrieval strategies, including chunking, embeddings, context selection, and reranking.
• Monitor AI systems in production and identify opportunities to improve their quality and performance.
• Create safeguards that reduce unexpected behaviour and protect customer data.

Shape our AI engineering practice

• Establish reusable patterns and technical standards for building, evaluating, and releasing AI systems.
• Help teams make informed decisions about models, frameworks, infrastructure, performance, and cost.
• Apply strong engineering practices across testing, security, observability, version control, and deployment.
• Share technical knowledge and support the development of other engineers.
• Keep up with relevant AI research, tools, and engineering practices, applying what is useful to Typeform.

Collaborate across Typeform

• Partner with Product, Engineering, Data Science, Data Engineering, and Analytics teams to connect AI investments with customer and business needs.
• Work with Data Scientists to turn experiments and models into reliable production services.
• Communicate technical concepts, risks, and tradeoffs clearly to technical and nontechnical partners.
• Contribute to technical planning and help shape the direction of AI across Typeform.

What you bring

• At least four years of experience building and deploying machine learning or AI systems in production.
• Strong Python and software engineering skills.
• Experience building production services using Python frameworks such as FastAPI.
• Practical experience developing generative AI applications using large language models, RAG, tool use, or agentic systems.
• Experience with frameworks such as PyTorch, LangChain, LangGraph, or similar technologies.
• A strong understanding of enterprise RAG systems, including chunking, embeddings, retrieval, reranking, evaluation, and monitoring.
• Experience creating automated evaluations for generative AI applications.
• Experience with AWS, Docker, Kubernetes, Terraform, and continuous integration and deployment practices.
• Experience using services such as AWS SageMaker or AWS Bedrock.
• Experience with Kafka, vector databases, or other technologies used for real time and high dimensional data processing.
• Experience managing machine learning workflows using MLflow.
• Experience monitoring production systems with tools such as Datadog or OpenSearch.
• The ability to balance quality, speed, reliability, scalability, and cost when making technical decisions.
• Strong communication skills and experience collaborating with Product, Engineering, and Data teams.

Extra awesome

• Experience working in a B2B SaaS product company.
• Experience with orchestration tools such as Airflow or Argo Workflows.
• Familiarity with SQL, Spark, Snowflake, or other data processing technologies.
• Experience building systems that combine structured data, unstructured data, and generative AI.
• Experience with AI security, privacy, responsible AI, prompt injection protection, or data leakage prevention.
• Experience improving the latency and cost of AI systems operating at scale.

*Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We move as one team, empowering our collective efforts by valuing each individual’s unique perspective. This fosters strong bonds grounded in respect, transparency, and trust. We champion our diverse customer base by anticipating their needs and addressing their challenges with priority. Committed to excellence, we hold high expectations for ourselves and each other, continuously striving to deliver exceptional results.

We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here.

Who we are

Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot.

Typeform is fully remote by design. For this role, we can hire candidates based in the UK, Ireland, Germany, Portugal, Spain or the Netherlands.

About the team

The AI Engineering team builds the systems and capabilities behind Typeform’s AI products, including Research Flow, our platform for combining quantitative research with deeper qualitative insights.

We use machine learning, large language models, RAG, and agentic systems to help customers collect, understand, and act on information in more conversational and personalised ways.

Through Research Flow, this includes helping customers design studies, run AI-moderated conversations with adaptive follow-up questions, and turn responses into useful insights.

The team owns the journey from experimentation through to production. This includes AI application development, evaluation, infrastructure, deployment, observability, reliability, and performance.

You will work closely with Product Managers, Software Engineers, Data Scientists, Data Engineers, and Analytics teams to turn promising AI ideas into secure, scalable, and dependable customer experiences.

About the role

As a Staff AI Engineer at Typeform, you will play a central role in shaping the technical direction of Research Flow and the AI systems that support our broader products.

You will take ownership of complex engineering challenges that span teams, from defining architecture and testing new approaches to delivering and operating production systems. A key part of your role will be connecting individual AI capabilities into a dependable customer experience.

Your scope will span generative AI applications, enterprise RAG systems, agentic workflows, model evaluation, machine learning pipelines, and the infrastructure required to run them reliably at scale.

This is a hands-on individual contributor role with influence beyond a single project. You will lead through technical judgement, delivery, and collaboration, helping teams make sound decisions and building foundations that other engineers can use.

Things you will do

Shape the technical direction of Research Flow

• Partner with Product and Engineering leaders to translate Research Flow’s product ambitions into a clear technical direction and delivery priorities.
• Lead architectural decisions across AI-assisted study design, adaptive conversations, and research synthesis.
• Identify the technical constraints and dependencies that matter most, and help teams address them early.
• Define how AI capabilities, data flows, and services work together as the product evolves.
• Balance immediate delivery needs with longer-term reliability, scalability, and maintainability.

Lead and deliver complex AI engineering work

• Take technical ownership of ambiguous problems, from defining the problem and exploring approaches through to production delivery.
• Design and build generative AI applications using large language models, RAG, vector search, tool use, and agentic systems.
• Stay close to implementation through prototyping, production code, design reviews, and debugging.
• Lead initiatives that require coordination across Product, Engineering, Data Science, and Data Engineering.
• Build reusable services and APIs that help product teams deliver AI capabilities consistently.
• Make pragmatic decisions about when to build, buy, simplify, or stop an approach.

Build scalable AI foundations

• Guide the architecture of machine learning services and workflows using Python, Docker, Kubernetes, and AWS.
• Design reliable pipelines for batch and real-time processing using technologies such as Kafka and Airflow.
• Establish patterns for retrieval, vector search, model orchestration, and working with structured and unstructured data.
• Improve how we manage experiments, model versions, registries, and deployments using tools such as MLflow.
• Identify and resolve performance, reliability, and cost bottlenecks across our AI systems.
• Help teams choose infrastructure and tools that fit the problem and can be operated sustainably.

Set the standard for AI quality

• Define evaluation strategies and release criteria for generative AI applications, including Research Flow’s conversational and analytical capabilities.
• Guide the development of automated benchmarks covering accuracy, relevance, reliability, fairness, latency, and cost.
• Establish ways to assess whether AI-generated follow-up questions are useful and whether summaries and insights are grounded in participants’ responses.
• Lead improvements to retrieval quality, including chunking, embeddings, context selection, and reranking.
• Connect offline evaluation with production monitoring and customer feedback to guide improvements.
• Build security, privacy, and safeguards against unexpected model behaviour into system design.

Raise engineering standards across teams

• Establish reusable patterns and technical standards for building, evaluating, deploying, and operating AI systems.
• Help engineers reason through difficult technical decisions and make trade-offs explicit.
• Mentor engineers and support other technical leads in growing their ownership and judgement.
• Improve engineering practices across testing, observability, security, incident response, and deployment.
• Build alignment around technical decisions through clear proposals, constructive discussion, and evidence.
• Evaluate relevant AI research and emerging tools, and help teams adopt what delivers practical value.

Connect technical work to customer outcomes

• Work with Product and Engineering partners to prioritise AI investments based on customer needs, technical feasibility, and business impact.
• Help define measurable outcomes for AI initiatives and use them to assess whether an approach is working.
• Communicate technical concepts, risks, and trade-offs clearly to technical and nontechnical partners.
• Contribute to planning across teams, making dependencies and sequencing clear.
• Help shape the broader direction of AI at Typeform through lessons learned from building and scaling Research Flow.

What you bring

• Significant experience building and operating machine learning or AI systems in production, with evidence of technical leadership beyond your own projects.
• A track record of leading complex engineering initiatives across teams, from ambiguous requirements to measurable production outcomes.
• Strong Python and software engineering skills, with the ability to contribute directly to production code.
• Experience designing production services and APIs using frameworks such as FastAPI.
• Practical experience building generative AI applications using large language models, RAG, tool use, or agentic systems.
• A strong understanding of enterprise RAG systems, including retrieval architecture, chunking, embeddings, reranking, evaluation, and monitoring.
• Experience defining evaluation approaches and using evidence to guide model, architecture, and release decisions.
• Experience with frameworks such as PyTorch, LangChain, LangGraph, or similar technologies.
• Strong experience designing and operating cloud systems using AWS, Docker, Kubernetes, Terraform, and continuous integration and deployment practices.
• Familiarity with services such as AWS SageMaker or AWS Bedrock.
• Experience with event-driven processing, vector databases, and machine learning lifecycle tools such as Kafka and MLflow, or comparable technologies.
• Experience establishing observability and diagnosing production issues using tools such as Datadog or OpenSearch.
• Sound judgement when balancing delivery speed, quality, reliability, scalability, security, and cost.
• The ability to influence technical decisions across teams and build alignment without relying on formal authority.
• Experience mentoring engineers and improving the effectiveness of the teams around you.

Extra awesome

• Experience working in a B2B SaaS product company.
• Experience building conversational AI, adaptive interviewing, or automated analysis and summarisation systems.
• Experience working with text, audio, or video in AI applications.
• Experience evolving shared AI infrastructure or platforms used by multiple product teams.
• Experience with orchestration tools such as Airflow or Argo Workflows.
• Familiarity with SQL, Spark, Snowflake, or other data processing technologies.
• Experience with AI security, privacy, responsible AI, prompt injection protection, or data leakage prevention.
• Experience materially improving the latency, reliability, or cost of AI systems operating at scale.

*Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We move as one team, empowering our collective efforts by valuing each individual’s unique perspective. This fosters strong bonds grounded in respect, transparency, and trust. We champion our diverse customer base by anticipating their needs and addressing their challenges with priority. Committed to excellence, we hold high expectations for ourselves and each other, continuously striving to deliver exceptional results.

We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here.

Who we are

Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot.

Typeform is fully remote by design. For this role, we can hire candidates based in the UK, Ireland, Germany, Portugal, Spain or the Netherlands.

About the team

The AI Engineering team builds the systems and capabilities behind Typeform’s AI products, including Research Flow, our platform for combining quantitative research with deeper qualitative insights.

We use machine learning, large language models, RAG, and agentic systems to help customers collect, understand, and act on information in more conversational and personalised ways.

Through Research Flow, this includes helping customers design studies, run AI-moderated conversations with adaptive follow-up questions, and turn responses into useful insights.

The team owns the journey from experimentation through to production. This includes AI application development, evaluation, infrastructure, deployment, observability, reliability, and performance.

You will work closely with Product Managers, Software Engineers, Data Scientists, Data Engineers, and Analytics teams to turn promising AI ideas into secure, scalable, and dependable customer experiences.

About the role

As a Staff AI Engineer at Typeform, you will play a central role in shaping the technical direction of Research Flow and the AI systems that support our broader products.

You will take ownership of complex engineering challenges that span teams, from defining architecture and testing new approaches to delivering and operating production systems. A key part of your role will be connecting individual AI capabilities into a dependable customer experience.

Your scope will span generative AI applications, enterprise RAG systems, agentic workflows, model evaluation, machine learning pipelines, and the infrastructure required to run them reliably at scale.

This is a hands-on individual contributor role with influence beyond a single project. You will lead through technical judgement, delivery, and collaboration, helping teams make sound decisions and building foundations that other engineers can use.

Things you will do

Shape the technical direction of Research Flow

• Partner with Product and Engineering leaders to translate Research Flow’s product ambitions into a clear technical direction and delivery priorities.
• Lead architectural decisions across AI-assisted study design, adaptive conversations, and research synthesis.
• Identify the technical constraints and dependencies that matter most, and help teams address them early.
• Define how AI capabilities, data flows, and services work together as the product evolves.
• Balance immediate delivery needs with longer-term reliability, scalability, and maintainability.

Lead and deliver complex AI engineering work

• Take technical ownership of ambiguous problems, from defining the problem and exploring approaches through to production delivery.
• Design and build generative AI applications using large language models, RAG, vector search, tool use, and agentic systems.
• Stay close to implementation through prototyping, production code, design reviews, and debugging.
• Lead initiatives that require coordination across Product, Engineering, Data Science, and Data Engineering.
• Build reusable services and APIs that help product teams deliver AI capabilities consistently.
• Make pragmatic decisions about when to build, buy, simplify, or stop an approach.

Build scalable AI foundations

• Guide the architecture of machine learning services and workflows using Python, Docker, Kubernetes, and AWS.
• Design reliable pipelines for batch and real-time processing using technologies such as Kafka and Airflow.
• Establish patterns for retrieval, vector search, model orchestration, and working with structured and unstructured data.
• Improve how we manage experiments, model versions, registries, and deployments using tools such as MLflow.
• Identify and resolve performance, reliability, and cost bottlenecks across our AI systems.
• Help teams choose infrastructure and tools that fit the problem and can be operated sustainably.

Set the standard for AI quality

• Define evaluation strategies and release criteria for generative AI applications, including Research Flow’s conversational and analytical capabilities.
• Guide the development of automated benchmarks covering accuracy, relevance, reliability, fairness, latency, and cost.
• Establish ways to assess whether AI-generated follow-up questions are useful and whether summaries and insights are grounded in participants’ responses.
• Lead improvements to retrieval quality, including chunking, embeddings, context selection, and reranking.
• Connect offline evaluation with production monitoring and customer feedback to guide improvements.
• Build security, privacy, and safeguards against unexpected model behaviour into system design.

Raise engineering standards across teams

• Establish reusable patterns and technical standards for building, evaluating, deploying, and operating AI systems.
• Help engineers reason through difficult technical decisions and make trade-offs explicit.
• Mentor engineers and support other technical leads in growing their ownership and judgement.
• Improve engineering practices across testing, observability, security, incident response, and deployment.
• Build alignment around technical decisions through clear proposals, constructive discussion, and evidence.
• Evaluate relevant AI research and emerging tools, and help teams adopt what delivers practical value.

Connect technical work to customer outcomes

• Work with Product and Engineering partners to prioritise AI investments based on customer needs, technical feasibility, and business impact.
• Help define measurable outcomes for AI initiatives and use them to assess whether an approach is working.
• Communicate technical concepts, risks, and trade-offs clearly to technical and nontechnical partners.
• Contribute to planning across teams, making dependencies and sequencing clear.
• Help shape the broader direction of AI at Typeform through lessons learned from building and scaling Research Flow.

What you bring

• Significant experience building and operating machine learning or AI systems in production, with evidence of technical leadership beyond your own projects.
• A track record of leading complex engineering initiatives across teams, from ambiguous requirements to measurable production outcomes.
• Strong Python and software engineering skills, with the ability to contribute directly to production code.
• Experience designing production services and APIs using frameworks such as FastAPI.
• Practical experience building generative AI applications using large language models, RAG, tool use, or agentic systems.
• A strong understanding of enterprise RAG systems, including retrieval architecture, chunking, embeddings, reranking, evaluation, and monitoring.
• Experience defining evaluation approaches and using evidence to guide model, architecture, and release decisions.
• Experience with frameworks such as PyTorch, LangChain, LangGraph, or similar technologies.
• Strong experience designing and operating cloud systems using AWS, Docker, Kubernetes, Terraform, and continuous integration and deployment practices.
• Familiarity with services such as AWS SageMaker or AWS Bedrock.
• Experience with event-driven processing, vector databases, and machine learning lifecycle tools such as Kafka and MLflow, or comparable technologies.
• Experience establishing observability and diagnosing production issues using tools such as Datadog or OpenSearch.
• Sound judgement when balancing delivery speed, quality, reliability, scalability, security, and cost.
• The ability to influence technical decisions across teams and build alignment without relying on formal authority.
• Experience mentoring engineers and improving the effectiveness of the teams around you.

Extra awesome

• Experience working in a B2B SaaS product company.
• Experience building conversational AI, adaptive interviewing, or automated analysis and summarisation systems.
• Experience working with text, audio, or video in AI applications.
• Experience evolving shared AI infrastructure or platforms used by multiple product teams.
• Experience with orchestration tools such as Airflow or Argo Workflows.
• Familiarity with SQL, Spark, Snowflake, or other data processing technologies.
• Experience with AI security, privacy, responsible AI, prompt injection protection, or data leakage prevention.
• Experience materially improving the latency, reliability, or cost of AI systems operating at scale.

No one likes a guessing game — that’s why we’re transparent about the salary range for this role. In addition to the base, we offer a 5-10% bonus depending on your level and performance. The range is broad because we tailor total compensation based on your location, experience, education, and skillset.

We also want to ensure equitable pay across the team and alignment with market data — but let us handle those details. We’re committed to clarity and honesty, so feel free to ask us anything along the way.

Pay range

$170,000—$210,000 USD

*Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We move as one team, empowering our collective efforts by valuing each individual’s unique perspective. This fosters strong bonds grounded in respect, transparency, and trust. We champion our diverse customer base by anticipating their needs and addressing their challenges with priority. Committed to excellence, we hold high expectations for ourselves and each other, continuously striving to deliver exceptional results.

We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here.

Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic!

About Tailscale

Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We’re building a future for the Internet that’s easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we’re backed by Accel, CRV, Insight, Heavybit, and Uncork Capital.

Job Description

We’re seeking a skilled and diligent full-time Software Engineer to join our growing Control Plane Team. You will work as part of the engineering team to:

• Develop the Tailscale product, contributing to both open source client code and related backend services;
• Take ownership of the entire product lifecycle, from writing code to product ideation and strategic decision-making;
• Work closely with UX/UI designers and product managers to shape features.

Because we’re an early-stage and fully remote company, we’re looking for a strongly motivated individual who can help move the product forward at crucial intersections of the technology and organization: in this case, the control plane and the various services it comprises and supports. The ability to think on your feet, collaborate with highly technical teams, and comfort working asynchronously are essential.

Key Responsibilities

• Work as part of a team of engineers to design, build, test, and document core software components.
• Develop product features in areas that include our control plane, our relay infrastructure, and our identity integrations.
• Exhibit ownership over the running services that comprise Tailscale’s product by building for observability, participating in incident response, and fielding customer support escalations.
• Analyze and improve efficiency, scalability, and stability of various system resources.
• Bring a security-first mindset to both design and implementation.

What We Are Looking For

• Experience with distributed systems
• Experience with the Go programming language
• Experience with one or more SQL databases
• Familiarity with networking (IP addressing, routing, etc.)
• Ability to give and process constructive feedback, as well as work independently
• Flexibility to adjust to the dynamic nature of a startup
• Excellent written and verbal communication skills

As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale’s compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire’s base salary. Individual offers may vary based on experience and skill set.

UK Pay Range

£128,770—£178,540 GBP

What We Offer

• An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life.
• A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles).
• Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family!
• Remote first company—most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description.
• Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation.
• Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration.
• Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities.
• Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world!
• A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own.
• Paid parental leave program. We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents).

Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter.

Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people.

Please be aware that legitimate emails from Tailscale’s talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness.

About Egen

Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team.

Want to learn more about life at Egen? Check out these resources in addition to the job description.

Meet Egen

Life at Egen

Culture and Values at Egen

Career Development at Egen

Benefits at Egen

About the opportunity

We are seeking a high-impact Director of Engineering to spearhead a vital span of our AI Practice during a period of explosive growth. This is a dynamic player-coach role for a strategic engineering leader who excels at cultivating managerial talent and developing high-performing teams while staying directly engaged in transformative client delivery.

Our AI Practice comprises roughly 78 top-tier engineers across North America, Europe, and India, delivering cutting-edge AI and machine learning solutions for global enterprise clients in healthcare, life sciences, hospitality, the public sector, and industrial markets. We don’t just build proofs of concept—we architect and deploy robust, mission-critical production systems.

Role Overview

As our first dedicated engineering leader in this role, you will take full ownership of a team of roughly twenty engineers—shaping team structure, staffing engagements, and fostering accelerated professional growth. Beyond leading your span, you will partner with the AI Practice Lead to architect and refine practice-wide operational frameworks for hiring, onboarding, and continuous engineering enablement.

Reporting directly to the AI Practice Lead, you will work side-by-side with practice leadership, particularly during your initial two quarters. Approximately 50% of your role will be billable client engagement, positioning you as a high-value fractional advisor and platform leader across critical technical domains: AI SDLC, AI governance, agentic deployments, and cloud platform/pipeline architecture.

This position is tailored for a battle-tested leader with a proven track record of managing managers and engineering leaders. You have built and scaled the operational machinery that powers high-performing engineering organizations—and can showcase tangible, measurable outcomes from organizations that flourished under your design.

What You’ll Do:

• Span Leadership and People Management

• Practice Machinery: Hiring, Onboarding, and Enablement

• Hands-on Delivery and Client Engagement

Span Leadership and People Management

• Empower and lead a dedicated span of roughly twenty world-class engineers.

• Drive performance management, professional growth, career paths, and promotion pathways for everyone in your span in close alignment with the practice lead.

• Serve as the primary leadership point of escalation for engineering challenges within your span.

• Direct team staffing strategy in partnership with Resource Management and the practice lead, seamlessly matching engineering talent to high-impact engagements.

• Oversee contractor operations to ensure smooth onboarding, strategic contract extensions, and healthy engagement delivery.

• Mentor and coach team leads through crucial career conversations, performance coaching, and complex staffing decisions.

Practice Machinery: Hiring, Onboarding and Enablement

• Spearhead the practice-wide hiring engine in collaboration with the practice lead: optimize interview panels, calibrate interviewer standards, expand capacity, prioritize top candidates, and elevate our partnership with Talent Acquisition.

• Champion the entire career progression pipeline from onboarding to senior technical leader—refining mentorship, management enablement, and performance review cycles on top of existing practice frameworks.

• Lead the practice’s internal accelerator program alongside the practice lead, defining production-ready client standards, driving practice-wide adoption, and curating internal assets.

Hands-on Delivery and Client Engagement

• Maintain an active billable portfolio (~50% focus) across strategic, fractional advisory and platform consulting roles spread intentionally across key client accounts.

• Provide overarching technical leadership on AI SDLC initiatives—guiding client leadership in adopting modern AI tooling, setting standards of excellence, and measuring ROI.

• Drive robust AI governance solutions within highly regulated industries, establishing comprehensive evaluation frameworks, observability platforms, audit trails, and production safety controls.

• Architect enterprise platform and pipeline deployments, including agentic AI frameworks, automated promotion pipelines, and the operational infrastructure supporting them.

• Serve as a trusted executive advisor to client engineering leaders, delivering expert guidance and constructively challenging technical approaches when needed.

What We’re Looking For (Basic Qualifications)

• 12+ years of progressive engineering experience, including significant leadership experience guiding full engineering organizations rather than single development teams.

• Demonstrated experience managing engineering leaders and managers, with a track record of scaling teams and organizational structures effectively.

• Proven ability to build high-functioning organizational infrastructure—recruiting engines, onboarding programs, engineering standards, and career pathways—with measurable outcomes.

• Deep technical strength in platform, pipeline, and infrastructure architecture required to command respect and direct technical strategy in executive client settings.

• Hands-on expertise deploying production AI/ML systems, with primary focus on platform architecture, MLOps/LLMOps pipelines, governance, and operational resilience over pure model research.

• Deep Google Cloud Platform (GCP) experience, or the proven technical agility to master our GCP-centric delivery stack rapidly.

• Sharp consulting acumen: adept at managing ambiguity, navigating client-facing dynamics, leading concurrent engagements, and balancing business drivers.

Preferred Qualifications

• Professional services experience preferred.

• Collaborative mindset and comfort partnering closely with practice leadership during a transitional quarter as operational authority shifts.

• Exceptional communication and executive presence, with the ability to influence C-suite client stakeholders and internal executive leadership alike.

$218,000 - $265,000 a year

This position may be hired at multiple levels. Final leveling is determined during the interview process based on a candidate’s experience, skills, and interview outcomes, and the applicable salary range will align with the final level assigned.

Compensation is determined based on factors including experience, expertise, interview performance, and geographic location, where applicable.

Compensation & Benefits:

This role is eligible for our competitive salary and comprehensive benefits package to support your well-being:

- Comprehensive Health Insurance

- Paid Leave (Vacation/PTO)

- Paid Holidays

- Sick Leave

- Parental Leave

- Bereavement Leave

- 401 (k) Employer Match

- Employee Referral Bonuses

Check out our complete list of benefits here - >https://egen.ai/people/#benefits

Important: All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks.

EEO and Accommodations:

Egen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic!

About Tailscale

Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We’re building a future for the Internet that’s easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we’re backed by Accel, CRV, Insight, Heavybit, and Uncork Capital.

Job Description

We’re seeking a skilled and diligent full-time Software Engineer to join our growing Control Plane Team. You will work as part of the engineering team to:

• Develop the Tailscale product, contributing to both open source client code and related backend services;
• Take ownership of the entire product lifecycle, from writing code to product ideation and strategic decision-making;
• Work closely with UX/UI designers and product managers to shape features.

Because we’re an early-stage and fully remote company, we’re looking for a strongly motivated individual who can help move the product forward at crucial intersections of the technology and organization: in this case, the control plane and the various services it comprises and supports. The ability to think on your feet, collaborate with highly technical teams, and comfort working asynchronously are essential.

Key Responsibilities

• Work as part of a team of engineers to design, build, test, and document core software components.
• Develop product features in areas that include our control plane, our relay infrastructure, and our identity integrations.
• Exhibit ownership over the running services that comprise Tailscale’s product by building for observability, participating in incident response, and fielding customer support escalations.
• Analyze and improve efficiency, scalability, and stability of various system resources.
• Bring a security-first mindset to both design and implementation.

What We Are Looking For

• Experience with distributed systems
• Experience with the Go programming language
• Experience with one or more SQL databases
• Familiarity with networking (IP addressing, routing, etc.)
• Ability to give and process constructive feedback, as well as work independently
• Flexibility to adjust to the dynamic nature of a startup
• Excellent written and verbal communication skills

As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale’s compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire’s base salary. Individual offers may vary based on experience and skill set.

UK Pay Range

£128,770—£178,540 GBP

What We Offer

• An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life.
• A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles).
• Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family!
• Remote first company—most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description.
• Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation.
• Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration.
• Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities.
• Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world!
• A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own.
• Paid parental leave program. We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents).

Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter.

Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people.

Please be aware that legitimate emails from Tailscale’s talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness.

The work we do has an impact on millions of lives, and you can be a part of it.

We help protect our customers against life’s uncertainties. Regardless of where you work within the company, you’ll be helping provide protection and peace of mind when our customers need it most.

The Senior IT Architect is responsible for contributing to the technical design and implementation of enterprise-scale systems built on the Microsoft technology stack. This role ensures that technical decisions are practical, scalable, secure, and implemented with high engineering standards.

The role operates in a fast-paced environment with critical delivery timelines and works closely with business stakeholders, product owners, architects, and development teams to design, build, modernize, and support complex applications and integrations. The Senior IT Architect is accountable for making sound technical decisions for the team they work with, writing production code, supporting implementation quality, and ensuring long-term maintainability.

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Key Responsibilities

Architecture & Technical Decision-Making

•    Contribute to and help shape solution architecture across application, integration, data, and infrastructure layers within a Microsoft-centric ecosystem.

•    Design scalable, secure, and resilient systems using modern architectural patterns (e.g., layered architecture, domain driven design, event driven and service oriented architectures).

•    Ensure alignment with enterprise standards for security, performance, observability, and compliance.

•    Evaluate and recommend technologies, frameworks, and patterns appropriate for long term sustainability.

•    Act as a senior technical authority for assigned work and make appropriate technical decisions for the team they support.

Hands-On Development

•    Actively design, write, review, and optimize production grade code.

•    Develop solutions using C#, .NET (.NET Core / .NET), ASP.NET, Web APIs, and related frameworks.

•    Apply and promote coding standards, best practices, and design guidelines.

•    Perform deep technical troubleshooting and root cause analysis for complex issues.

•    Participate in code reviews and provide actionable feedback to support quality, performance, and security.

Cloud, Integration & Platform Engineering

•    Design and implement solutions leveraging Microsoft Azure, including compute, storage, messaging, and integration services.

•    Architect and build APIs and system integrations using REST, messaging, and event based patterns.

•    Support data architecture and persistence strategies using SQL Server and related data technologies.

•    Support modernization efforts, including refactoring legacy systems and contributing to cloud-native or hybrid architectures.

Delivery, Collaboration & Documentation

•    Partner with business analysts and stakeholders to translate business requirements into robust technical solutions.

•    Manage assigned technical tasks within project plans, supporting delivery quality and timelines.

•    Provide technical guidance to developers as needed, without formal leadership or people-management responsibilities.

•    Produce and maintain clear, concise technical documentation, including architecture diagrams, design decisions, and operational guidance.

•    Communicate effectively with technical and non technical audiences, explaining tradeoffs and impacts of design decisions.

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Experience & Qualifications

•    7+ years of progressive experience in software engineering, system design, and application architecture.

•    Extensive experience in the Microsoft technology stack, including:

o    C#, .NET / .NET Core

o    ASP.NET, Web APIs, and service based architectures

o    SQL Server and relational data modeling

•    Proven experience serving as both architect and hands-on senior developer on large, complex systems.

•    Strong background designing and supporting enterprise scale, mission critical applications.

•    Experience with cloud platforms, preferably Microsoft Azure.

•    Experience integrating with external and internal systems through APIs and messaging.

•    Ability to diagnose and resolve high complexity technical problems under delivery pressure.

•    Strong understanding of software design principles, patterns, and performance optimization.

•    Demonstrated ability to influence technical direction and support engineering quality through sound technical judgment.

•    Excellent written and verbal communication skills.

Preferred / Domain Experience

•    Experience modernizing or integrating with legacy platforms.

•    Experience with data conversion or large scale system migrations.

•    Prior work in highly regulated or data intensive enterprise environments.

$125,000 - $180,000 a year

Protective’s targeted compensation for this position is $125k-$180k. Actual salaries may vary depending on factors, including but not limited to, job location, skills, and experience. The range listed is just one component of Protective’s total compensation package for employees. This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance.

Employee Benefits:

We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits (e.g., paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health.  Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective’s platform to improve wellbeing while earning cash rewards.

Eligibility for certain benefits may vary by position in accordance with the terms of the Company’s benefit plans.

Accommodations for Applicants with a Disability:

If you require an accommodation to complete the application and recruitment process due to a disability, please email [email protected]. This information will be held in confidence and used only to determine an appropriate accommodation for the application and recruitment process.

Please note that the above email is solely for individuals with disabilities requesting an accommodation.  General employment questions should not be sent through this process.

We are proud to be an equal opportunity employer committed to being inclusive and attracting, retaining, and growing an inclusive workforce.

The role

You will help the Firefox WebGPU team clear its backlog of correctness and security bugs in wgpu, Firefox’s WebGPU implementation, so WebGPU can ship on Linux and Android. You will take on well-defined, prioritized issues, land fixes upstream in the open-source wgpu project and in Gecko, and free the core team to focus on the remaining release-blocking work.

Responsibilities

• Fix prioritized correctness and validation bugs from the wgpu “WebGPU for Firefox” project (the “Current”, “CTS Burndown”, “Linux release” and “Android release” columns), plus security and fuzzer-reported bugs.
• Diagnose and fix application blockers, real apps and demos that do not yet work in Firefox Nightly (the webgpu-apps meta-bug).
• Work through WebGPU conformance test suite (CTS) failures.
• Write and pass tests, work through code review with wgpu maintainers and Gecko module owners, and land upstream.
• Coordinate with the Firefox WebGPU team on task selection and priority.

Scope and references

• wgpu “WebGPU for Firefox” GitHub project
• webgpu-apps meta-bug (Bugzilla) blockers
• WebGPU conformance test suite (CTS) expected-failure lists
• Specific issue lists to be provided by the WebGPU team

Definition of done

Reviewed fixes landed upstream in wgpu and in Gecko, with tests, measurably reducing the P2/P3 backlog, app blockers, and CTS failures, contributing to WebGPU riding the trains on Linux and Android.

Required qualifications

• Strong Rust.
• Experience in a large systems or graphics codebase, and the ability to ramp on wgpu quickly.
• Comfort working upstream in an open-source project (public issues and code review).
• Solid debugging skills (validation bugs, corner cases, fuzz findings).

Preferred

• Prior contributions to wgpu (the team can onboard an existing wgpu contributor fastest).
• WebGPU / graphics / GPU experience. Modern graphics APIs: Vulkan, DirectX/D3D 11⁄12, Metal. Shader languages: WGSL, HLSL, MSL, SPIR-V.
• Low-level Android graphics experience
• Security or fuzzing experience. Web security model.

This is a BNPL platform that pursues a mission to give Venezuelans back the opportunity to access credit.

Since our launch in 2022, we’ve been dedicated to promoting financial inclusion. Today we have more than 9 million active users, both consumers and merchants, and we’ve become a trusted brand in Venezuela, winning hearts and minds.

About the role

We’re looking for a Staff Software Engineer for our Users Vertical. This vertical plays a critical and dual role in our engineering organization: on one hand, accelerating and optimizing the onboarding funnel so users are ready to buy in the shortest time possible with the least friction. On the other, designing and delivering the core user management services that serve as the foundation for every other business unit.

This is a hands-on Staff role. You set the technical direction, make the architectural calls, and own how these systems behave under extreme, concurrent load. When a third-party KYC provider goes down, the registration experience shouldn’t even flinch — and that’s on you. If you’re energized by high-performance distributed API design, resilient identity/fraud integrations, and building internal platforms that scale, this one’s for you. 🚀

Responsibilities

• Optimize the onboarding funnel: Design, scale, and streamline the registration, identity verification (KYC, KYB), and fraud prevention flow, ensuring the process is fast, secure, and frictionless.

• Build and evolve core user services: Lead the architecture of the foundational identity, profile, status, and user preference services consumed across the entire Cashea ecosystem, ensuring high availability and low latency.

• Orchestrate resilient integrations: Design robust, fault-tolerant integrations with external vendors (biometrics engines, fraud prevention tools, KYC providers), ensuring third-party outages don’t impact the registration experience.

• Define the user event architecture: Model and asynchronously propagate the user lifecycle (e.g., registration, tier changes, profile updates) to other Cashea verticals to enable real-time business decisions.

• Set development standards and guidelines: Establish clean code practices, rigorous testing, advanced observability, and safe rollback strategies that raise the technical maturity of the users vertical teams.

• Mentor and drive technical influence: Work closely with tech leads, product managers, and engineering directors to translate product vision into a solid architecture roadmap, while guiding and empowering the growth of senior engineers.

Qualifications

• Proven experience: Strong track record as a Staff or Principal Engineer designing and operating complex distributed systems at scale, ideally in identity platforms, user core services, or high-traffic onboarding funnels.

• Strong backend background: Advanced proficiency in Node.js and NestJS (TypeScript), or the ability to technically lead in this stack coming from equivalent high-performance technologies such as Rust and/or Go.

• Systems design and resilience: Deep knowledge of architectural patterns (Hexagonal Architecture, DDD, CQRS), efficient REST/gRPC API design, relational database optimization (PostgreSQL), and smart caching strategies (Redis) to handle concurrent traffic spikes.

• Asynchronous mindset: Solid experience with message queues and event streaming (RabbitMQ, Kafka, Pub/Sub) to decouple registration flows and complex integrations.

• Third-party integrations and complex flows: Experience integrating and abstracting third-party services (KYC, biometrics, data enrichment), including implementing fallback patterns, circuit breakers, and intelligent retries.

• Pragmatic, builder mentality: Hands-on approach — able to conceptualize long-term solutions without sacrificing the agility to deliver fast value and write high-quality reference code for the team.

• Spanish and English proficiency.

Why you’ll love working here

We have a work culture based on trust and purpose. If you need a clue as to why we are a good choice, these are our core values:

• We don’t work on autopilot. Everything we do is intentional. We love to develop ideas with full awareness of the impact they can have on our users.

• Your creativity and curiosity are our most important assets.

• Your voice matters. We listen and make space for ideas and feedback. Everyone belongs, and what’s important to you is important to us.

• We value transparency. Clarity keeps us connected and grounded.

• Last but not least, we focus on real impact.

If you want to work with us, fill out the application. We’d love to meet you!

Job Overview As a member of our Protection & Control Engineering Services Team, you will be responsible for creating substation drawing packages including one-line drawings, three-line drawings, DC schematics, wiring diagrams, cable schedules, component layouts, electrical plans, and detailed assembly drawings that will be drafted using AutoCAD® and MicroStation.

gravity9 is a boutique IT consulting company headquartered in the UK with offices in the US, Canada, Poland, and Colombia.

Proof is the world's first identity-assured transaction management platform and we are on a mission to digitize trust for all of life’s most critical transactions.

Make a difference. Be happy. Grow your career. The Role​​The UiPath Automation Developer supports design, build, testing and troubleshooting for intelligent process automations for Nordic Clients.