Writing.io Jobs

About The Company

goop is a lifestyle platform dedicated to exploration, curation, and groundbreaking conversation. From its award-winning beauty and fashion lines to its expansive editorial lens, goop invites women to embrace the process of becoming, and to discover deep joy in the pursuit of pleasure, beauty, and growth in all phases of life.

Gwyneth Paltrow began goop in the fall of 2008 as a weekly newsletter. It has expanded into a beauty, fashion, and food business that’s also known for its products, curation, podcast, TV shows, live events, and retail stores.

ABOUT YOU

You are a dynamic and driven sales professional with deep experience and passion for the beauty. You’re comfortable managing complex retail relationships, analyzing sales data, and building effective sales strategies. You thrive in a fast-paced environment and are equally skilled at high-level business development and day-to-day operational execution. A team player at heart, you can lead, mentor, and jump in where needed to ensure smooth operations and achieve ambitious sales goals.

Culturally, results are your native language— clear goals, clear numbers, a visible line from contribution to outcome. AI is integral to how you work, raising the bar on what a small group can accomplish. Authority sits comfortably within your working style: your scope is defined, and you exercise real decision authority. Founder mode isn’t a stage you are curious about; it’s how you operate.

ABOUT THE ROLE

As the Director, Wholesale, you will oversee goop Beauty’s wholesale business across domestic and international accounts, including key wholesale partnerships. Reporting to the Vice President of Wholesale & Wholesale Marketing, you will manage sales operations, retail partner relationships, and business development initiatives while driving growth and maintaining goop’s brand integrity. This role requires a strategic thinker who is hands-on, detail-oriented, and adept at managing both client-facing and operational responsibilities.

• Serve as a primary point of contact for key wholesale accounts, ensuring strong relationships, consistent communication, and growth-focused account management.
• Manage communications to ensure continuity in service and account oversight across the team.
• Drive wholesale sales through direct selling to small and boutique accounts, expanding goop presence in domestic and international markets.
• Ability to build retailer plans which include but are not limited to; launch plans, marketing plans, education plans, promotional plans and sell through plans.
• Work cross functionally with marketing, creative, digital, product development and retail teams to ensure brand messaging and priority cohesion.
• Analyze sales reports, forecasts, and performance data to inform business decisions and improve account management strategies. Collaborate with Merch Planning and FP&A teams to ensure efficiency between inventory and financial planning
• Handle administrative tasks, back-office duties, and order management as needed to support seamless sales operations.
• Leverage prior experience with major retailers and international partners to navigate complex account structures and drive long-term growth.
• Lead, mentor, and develop junior team members, including serving as the primary manager for specialist support
• Supervise a team of field sales representatives and brand ambassadors

QUALIFICATIONS & EXPERIENCE

• 8+ years of experience in wholesale sales or account management within the beauty, wellness, or consumer goods industries, minimum of 3 years of managerial experience
• Experience working with large domestic retailers, as well as international accounts
• Proven track record of managing and growing key retail partnerships, meeting sales targets, and exceeding revenue goals
• Strong understanding of retail operations, sales forecasting, and budgeting
• Excellent communication, negotiation, and presentation skills
• Comfortable with CRM tools, sales reporting, and analytics platforms
• Experience managing and mentoring team members
• Strong proficiency in Microsoft Excel
• Ability to work independently, multitask, and manage competing priorities in a fast-paced, entrepreneurial environment

FAQ

• Compensation: $140,000 - $160,000 + Variable Incentive Compensation + Equity. This is a full-time, exempt role. Please note that this range represents the low and high end of the anticipated base salary range for the Los Angeles, CA based position. Goop, in good faith, reasonably expects to pay the position within this salary range. Goop provides the salary range in compliance with all applicable federal, state and local laws. The actual base salary will depend on numerous factors such as: experience, training, knowledge and skills, and if the location of the job changes.
• Benefits: Generous health benefits package, fertility benefits and paid parental leave.
• Perks:“goopcation” paid company summer break, generous goop discounts, special offers with brand partners, access to custom lifestyle resources and events, and a beautiful workspace in Santa Monica
• Work Philosophy: At goop we believe that creativity, innovation and camaraderie are essential to our business, our culture and our employee’s growth and development. For those in Los Angeles or New York we are in office a minimum of Tuesdays and Thursdays, with more days in office based on proximity. 100% remote candidates are also encouraged to apply.

goop is an Equal Opportunity Employer. goop does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. All information provided by the applicant is collected, stored and processed in accordance with the terms of our CCPA Notice for Job Candidates. J ob Disclosures: No applicant disclosures related to physical requirements or ADA-related considerations are relevant for this role.

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 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.

To learn the Hiring Ranges for this position, please select your location from the Apply Now dropdown menu.

To learn more about our Hiring Range System, please click this link.

Why Mozilla?

Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more.

The Mozilla Corporation is wholly owned by the non-profit 501© Mozilla Foundation. This means we aren’t beholden to any shareholders—only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms.

About this team and role:

The People team architects the talent engine that powers Mozilla’s mission-driven work. As a Staff Recruiter (P4), you are a high-level individual contributor responsible for driving end-to-end recruitment for our most complex and critical technical roles. You will operate as a talent architect, leading advanced sourcing initiatives and high-stakes closing strategies while ensuring operational excellence across the entire hiring lifecycle.

What you’ll do:

• High-Stakes Closing: Own the end-to-end candidate experience for Staff-level and leadership roles, expertly navigating complex negotiations, equity education, and competitive counter-offers to ensure a high close rate.
• Advanced Passive Sourcing: Architect and execute sophisticated sourcing strategies to identify elite, “hard-to-find” talent within niche technical communities (e.g., Rust, browser engine architecture, privacy-preserving AI).
• Strategic Stakeholder Management: Serve as a primary talent advisor to VPs and Directors, providing data-driven insights to influence organizational design and multi-quarter hiring plans.
• Operational Excellence: Lead continuous improvement of the recruiting workflow, utilizing Career Level Guides (CLGs) to ensure consistency in candidate evaluation, leveling, and calibration across all technical business units.
• Talent Pipeline Planning: Drive long-term succession planning by identifying and engaging talent today for the critical roles of tomorrow, ensuring a healthy and diverse pipeline.

What you’ll bring:

• Full-Cycle Mastery: Extensive experience managing the entire recruitment lifecycle for technical roles in a high-growth or open-source environment.
• Expert Sourcing & Closing Skills: Demonstrated ability to build proprietary talent maps and close high-level candidates through mission-alignment and sophisticated negotiation tactics.
• Leadership in Calibration: Proven track record of using job-level expectations to lead calibration sessions that result in consistent and fair hiring decisions.
• Consultative Approach: Strong ability to work with senior leadership to define performance goals and identify development opportunities for talent pipelines.
• Commitment to our values: \* Welcoming differences
  • Being relationship-minded
  • Practicing responsible participation
  • Having grit

What you’ll get:

• Generous performance-based bonus plans to all eligible employees - we share in our success as one team
• Rich medical, dental, and vision coverage
• Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
• Quarterly all-company wellness days where everyone takes a pause together
• Country specific holidays plus a day off for your birthday
• One-time home office stipend
• Annual professional development budget
• Quarterly well-being stipend
• Considerable paid parental leave
• Employee referral bonus program
• Other benefits (life/AD&D, disability, EAP, etc. - varies by country)

About Mozilla

Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.

Commitment to diversity, equity, inclusion, and belonging

Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission.  We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions.

We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodation@mozilla.com to request accommodation.

We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws.  Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.

Group: C

#LI-DNI

Req ID: R3236

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!

Sales Director Position Overview HBK Engineering Solutions is seeking an experienced sales professional to maintain and grow sales across our extensive US Government and non-government customer base.

About ImmunefiABOUT IMMUNEFIImmunefi is the world’s leading crowdsourced security platform for the digital economy.

Mysten Labs believes that decentralized and open protocols are the bedrock of the internet of value. This is why at Mysten Labs, we are creating foundational infrastructure to accelerate the adoption of decentralized protocols based on blockchain technologies.

Mysten Labs is looking for a Staff Product Designer to set the experience strategy for the DeepBook financial stack and the first-party products built around it, spanning spot trading, margin, prediction markets, liquidity, and the workflows that connect users and builders to onchain finance on Sui.

This role requires strong product judgment, exceptional design craft, people leadership, and real fluency in financial markets and DeFi. You will work with product and engineering from strategy through launch, build a design team that can cover a growing product surface, and stay close enough to the work to lead critical product flows yourself.

The right person knows how to make complex financial systems clear without removing the information users need to assess risk. You should be comfortable designing for retail and professional users, working through technical and regulatory constraints, and using research and product data to improve adoption, execution quality, retention, and trust.

What You Will Do

• Set the design vision, principles, and priorities in partnership with product, engineering, and business leadership.

• Own the end-to-end experience across DeepBook spot, margin, prediction products, liquidity workflows, and related first-party applications.

• Lead the design of core journeys including onboarding, funding, market discovery, order entry, transaction review and signing, portfolio and position management, collateral, liquidation risk, settlement, and recovery from failed states.

• Design for distinct audiences such as retail traders, experienced DeFi users, market makers, liquidity providers, institutions, and developers without creating a fragmented product experience.

• Remain hands-on in the highest-priority work by framing problems, developing concepts, prototyping, testing, and reviewing implementation quality.

• Build a scalable design system and shared interaction patterns for dense financial data, charts, tables, order entry, account states, alerts, and risk communication.

• Establish a practical research program using interviews, usability studies, product analytics, support feedback, and market observation.

• Partner with engineering to understand protocol behavior, transaction states, latency, data dependencies, security boundaries, and platform constraints.

• Work with legal, security, marketing, business development, and ecosystem teams to launch products responsibly and communicate financial concepts accurately.

• Define design and product quality measures, then connect the team’s work to activation, conversion, trading success, retention, support burden, and user trust.

What You Will Have

• 10 or more years of product design experience, including meaningful experience leading, hiring, and developing designers in a fast-moving product organization.

• A portfolio that shows both exceptional individual craft and leadership impact across complex, data-dense products.

• Experience designing trading, investing, fintech, payments, crypto, marketplace, or other high-stakes products where users make consequential decisions.

• Fluency in DeFi and direct experience using onchain products. You can discuss swaps, order books, liquidity, routing, slippage, collateral, leverage, liquidation, settlement, smart-contract risk, and transaction signing.

• Strong product judgment and a record of shaping strategy, prioritization, and product decisions with product and engineering partners.

• Skill in interaction design, information architecture, visual design, prototyping, research, and systems thinking.

• Experience building design systems and operating practices that improve consistency and delivery across multiple products.

• Comfort working through ambiguity and making progress while product, technical, market, and legal inputs continue to change.

Nice to Have

• Experience leading design for an exchange, order book, derivatives or margin product, prediction market, wallet, aggregator, or institutional trading platform.

• Experience with both retail and professional trading experiences, including charts, market data, portfolio analytics, and execution workflows.

• Familiarity with Sui, Move, programmable transaction blocks, DeepBook, Slush, or object-based blockchain architectures.

• Experience designing products in legally complex or regulated financial categories.

• Prior experience as a founder, design executive, principal designer, trader, DeFi power user, or ecosystem operator.

Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information.

Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @ mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers ). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers .

To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.

Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!

Mysten Labs believes that decentralized and open protocols are the bedrock of the internet of value. This is why at Mysten Labs, we are creating foundational infrastructure to accelerate the adoption of decentralized protocols based on blockchain technologies.

Mysten Labs is looking for a Staff Product Designer to set the experience strategy for the DeepBook financial stack and the first-party products built around it, spanning spot trading, margin, prediction markets, liquidity, and the workflows that connect users and builders to onchain finance on Sui.

This role requires strong product judgment, exceptional design craft, people leadership, and real fluency in financial markets and DeFi. You will work with product and engineering from strategy through launch, build a design team that can cover a growing product surface, and stay close enough to the work to lead critical product flows yourself.

The right person knows how to make complex financial systems clear without removing the information users need to assess risk. You should be comfortable designing for retail and professional users, working through technical and regulatory constraints, and using research and product data to improve adoption, execution quality, retention, and trust.

What You Will Do

• Set the design vision, principles, and priorities in partnership with product, engineering, and business leadership.

• Own the end-to-end experience across DeepBook spot, margin, prediction products, liquidity workflows, and related first-party applications.

• Lead the design of core journeys including onboarding, funding, market discovery, order entry, transaction review and signing, portfolio and position management, collateral, liquidation risk, settlement, and recovery from failed states.

• Design for distinct audiences such as retail traders, experienced DeFi users, market makers, liquidity providers, institutions, and developers without creating a fragmented product experience.

• Remain hands-on in the highest-priority work by framing problems, developing concepts, prototyping, testing, and reviewing implementation quality.

• Build a scalable design system and shared interaction patterns for dense financial data, charts, tables, order entry, account states, alerts, and risk communication.

• Establish a practical research program using interviews, usability studies, product analytics, support feedback, and market observation.

• Partner with engineering to understand protocol behavior, transaction states, latency, data dependencies, security boundaries, and platform constraints.

• Work with legal, security, marketing, business development, and ecosystem teams to launch products responsibly and communicate financial concepts accurately.

• Define design and product quality measures, then connect the team’s work to activation, conversion, trading success, retention, support burden, and user trust.

What You Will Have

• 10 or more years of product design experience, including meaningful experience leading, hiring, and developing designers in a fast-moving product organization.

• A portfolio that shows both exceptional individual craft and leadership impact across complex, data-dense products.

• Experience designing trading, investing, fintech, payments, crypto, marketplace, or other high-stakes products where users make consequential decisions.

• Fluency in DeFi and direct experience using onchain products. You can discuss swaps, order books, liquidity, routing, slippage, collateral, leverage, liquidation, settlement, smart-contract risk, and transaction signing.

• Strong product judgment and a record of shaping strategy, prioritization, and product decisions with product and engineering partners.

• Skill in interaction design, information architecture, visual design, prototyping, research, and systems thinking.

• Experience building design systems and operating practices that improve consistency and delivery across multiple products.

• Comfort working through ambiguity and making progress while product, technical, market, and legal inputs continue to change.

Nice to Have

• Experience leading design for an exchange, order book, derivatives or margin product, prediction market, wallet, aggregator, or institutional trading platform.

• Experience with both retail and professional trading experiences, including charts, market data, portfolio analytics, and execution workflows.

• Familiarity with Sui, Move, programmable transaction blocks, DeepBook, Slush, or object-based blockchain architectures.

• Experience designing products in legally complex or regulated financial categories.

• Prior experience as a founder, design executive, principal designer, trader, DeFi power user, or ecosystem operator.

Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information.

Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @ mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers ). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers .

To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.

Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!

WHO WE ARE:

Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders.

WHO YOU ARE:

We are seeking a highly skilled Staff API Developer. As a Staff API Developer, you will be responsible for designing, documenting, and maintaining the enterprise APIs using industry’s best practices and standards.  You will work closely with our fellow engineers to implement API gateway capabilities and automate the process for the rest of the Zinnia teams to consume. You will collaborate closely with developers in API management team to create and implement CI/CD process to deploy enterprise APIs and API gateway capabilities.

WHAT YOU’LL DO:

• Design, document, and implement API standards and best practices for Zinnia enterprise APIs.
• Collaborate with the API management team to implement API gateway capabilities such as traceability, monitoring, security, and analytics.
• Design and maintain Zinnia’s next level enterprise Search with natural language capabilities and scalability across multiple resources and dataset.
• Write and maintain existing and new enterprise APIs with polyglot architecture and languages
• Understand the existing software development and deployment lifecycle for the API management team and help implement the improvements to better the existing process.
• Catalog existing APIs.
• Create and maintain developer portal for the enterprise APIs.
• Implement and automate the unit, functional, integration and contract testing for all internal and external APIs.
• Write high-quality, scalable, maintainable, and performant code.
• Conduct code reviews to ensure high-quality, maintainable code.
• Make technical decisions and provide technical guidance to the development team.
• Integrate the enterprise IAM solution for all internal and external APIs.

WHAT YOU’LL NEED:

• 6+ years of software development experience.
• Experience developing and deploying in a cloud-native environment.
• Experience with Languages like .NET, Java, typescript.
• Experience working with API gateways (Apigee, Kong).
• Working knowledge of common DevOps tasks (Environment provisioning, CI/CD Pipelines, and application monitoring). Bonus: working knowledge of fully containerized environment.
• Excellent work ethic. Ability to work and travel independently. Effective strategic thinking skills.
• Expert level communication, interpersonal, and critical thinking skills. Expert level troubleshooting skills.
• Experience working in an Agile/Scrum environment.
• Strong understanding of software development principles and design patterns.
• Proven experience designing and maintaining versioned APIs.
• Experience with AWS services such as Lambda, EC2, S3, etc.
• Stay up to date with the latest trends and technologies in API development.

WHAT’S IN IT FOR YOU?

Zinnia offers excellent career progression and competitive compensation. We offer great benefits, including health/dental insurance, parental leave, 401(k), incentive/bonus opportunity, tuition reimbursement, and so much more. We’re looking for the best and brightest innovators in the industry to join our team. At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website.  We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.

Notice for California residents: Information about how we collect and use your personal information can be found here

#LI-AB1

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.

About the Client Success Team:

The Client Success team at Affirm is focused on building and growing long-term partnerships with our merchant partners, helping them maximize the value of their relationship with Affirm while driving mutual business growth. As the primary post-sale point of contact, the team works closely with merchants to optimize performance, increase product adoption, identify revenue and GMV expansion opportunities, and ensure overall account health. Client Success also serves as a strategic bridge across Analytics, Product, Marketing, Credit, and Technical teams, advocating for merchants and helping shape solutions that drive successful outcomes for both our partners and Affirm.

About the Role:

We are seeking a dynamic and experienced Client Success Lead (CSM) to join our team. The ideal candidate will have 3-5 years of proven client experience, preferably in the financial technology sector. The CSM will be instrumental in maintaining client relationships, ensuring satisfaction, and fostering revenue growth.

What You’ll Do:

• Deliver a proactive client management strategy to encourage growth & retention with our merchant partners

• Identify upsell and cross-sell opportunities to enhance client value and devise strategies to capitalize on them

• Provide prompt and effective support to address client needs and inquiries.

• Conduct regular performance reviews and gather client feedback

• Collaborate with internal teams to resolve client issues and requests promptly.

• Stay abreast of industry trends and market developments to anticipate client needs.

• Collaborate cross-functionally to execute strategies to support clients.

• Ensure alignment between client goals and internal priorities and deliverables.

• Demonstrate resourcefulness and flexibility in navigating changing environments.

• Maintain a thorough understanding of company products and services to provide accurate information and support to clients.

What We Look For:

• Bachelor’s degree with at least 3-5 years of account management experience, preferably in the financial technology industry.

• Excellent written and verbal communication skills.

• Strong interpersonal skills and ability to build rapport with clients and stakeholders.

• Self-motivated, proactive, and able to work independently or as part of a team.

• Comfortable in fast-paced, high-pressure environments managing multiple priorities.

• Proficiency in CRM software (e.g., Salesforce) and Microsoft Office suite.

• Knowledge of marketing technologies and and e-commerce preferred

Base Pay Grade - H

Equity Grade - 5

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.

Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)

For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, which includes the annual base pay and the sales incentive target.

USA On Target Earnings (CA, WA, NY, NJ, CT) per year: $125,000 - $187,500

USA On Target Earnings (all other U.S. states) per year: $110,000 - $172,500

Please note that visa sponsorship is not available for this position.

#LI-Remote

Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.

Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:

• Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
• Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
• Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
• Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.

We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.

For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.

By clicking “Submit Application,” you acknowledge that you have read Affirm’s Global Candidate Privacy Notice and consent to the use of your personal information as described.

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