Full Stack Growth Engineer Jobs

The Product team builds full-stack features end-to-end. From designing our data models to implementing the subtle interaction behaviors that differentiate good software from great software. We work closely with UI designers and are supported by our infrastructure team. We aim to delight users with both large new features and smaller, daily product enhancements—thanks to our continuous deployment architecture. We want to create a superlative user experience, down to the smallest details. This role is based in our New York City office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve You will work full-stack to develop new features used by millions of Asana users Participate in every step of the product development process with an open and curious team Develop clean, beautiful code and leave it better than you found it Experience growth and development by being paired with a mentor who will support and guide you through opportunities to stretch and learn About you 3+ years of experience working within large, well maintained codebases Experience using Typescript and React Excellent communication skills for collaborating with other teams Sound judgment when balancing moving quickly with producing quality code and long-term code maintainability Passionate about creating a superlative user experience and attentive to details Appreciate productivity and care deeply about helping teams collaborate more effectively and efficiently, including your own At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this ro

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. We are looking for a Principal Systems Engineer to lead the design and assurance efforts for overall safety and fail-operational initiatives. In this highly visible position, you will lead technical programs with cross-functional teams, defining, developing, and continuously refining the methodology for measuring and optimizing safety and fail-operational metrics. You will serve as a trusted technical partner for the Vice President of System Design and Mission Assurance, at times representing the Vice President in leadership meetings. You will be part of an organization with strong leadership and a transparent, respectful culture that enables you to reach your full potential. This highly visible position offers opportunities for career growth through demonstrated achievement. In this role, you will: Define and refine the strategy and architecture for the Systems Engineering efforts that guide Zoox’s approach to safety and fail-operational initiatives Lead and oversee the definition, development, and evolution of safety and fail-operational metrics that measure the robotaxi’s ability to safely complete customers’ journeys Review and approve mission assurance clearance documents Communicate complex metric concepts, data analyses, and actionable insights to diverse stakeholders and executives Coach and mentor SDMA systems engineers, fostering their career growth and strengthening SDMA’s technical bench Qualifications M.S. or higher degree in an Engineering, Computer Science, or a related field At least 10 years of relevant professi

Our MDM team is seeking an experienced Principal Full-Stack engineer, to join an established engineering team. You will work on our D&B Connect application, a strategic self-service Master Data Management (MDM) platform that enables customers to cleanse, match, enrich, monitor, and manage their first-party data using D&B's Commercial Graph and D-U-N-S®-anchored data assets. This serves as our primary MDM customer-facing platform, accessed via web UI plus CRM, Marketing and Cloud Data Warehouse integrations with planned support for AI-driven headless access through MCP tools. The Principal Engineer (Full Stack) is responsible for working across the full stack, building highly scalable distributed solutions that enable positive user experiences and measurable business growth. This role needs to complete the assigned projects with end-to-end ownership. Team Overview Design and evolve enterprise-grade Master Data Management (MDM) platforms powering core business entities (e.g., customers, suppliers, leads, reference data) Address challenges in data quality , identity resolution , integration , and governance at scale Build highly available, resilient systems that support both real-time and batch workloads across global regions Collaborate with product, data, and platform teams to transform business needs into scalable technical solutions Key Responsibilities Work across the full stack, building highly scalable distributed solutions that enable positive user experiences and measurable business growth Partner with development and product teams to ensure product quality in a fast-paced Agile environment Partner with SRE team to deploy and manage data infrastructure on cloud platforms such as GCP or AWS<

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. As a Validation and Verification Systems engineer at Zoox, you will be owning a highly cross-functional role spanning across program management, legal, Software, and Operations organizations. You will be part of a systems engineering organization that develops and deploys novel solutions to substantiate a safety case for autonomous driving. Zoox is building a purpose-built robotaxi. Your real-world and virtual tests will capture the full end-to-end performance, from the advanced AI systems through the custom vehicle platform. You will be leading the creation of cutting-edge V&V methodologies, developing processes, writing comprehensive validation plans, reviewing verification and simulation results, and preparing reports needed to ensure the safety of the Autonomous software. You will be part of an organization with strong leadership and a transparent and respectful culture that will enable you to bring out your best potential. The role is highly visible and there are opportunities for career growth through demonstrated achievement. In this role, you will: Establish strategies and methodologies to Verify and Validate the Software stack with robust test coverage Work cross-functionally to develop detailed Simulation test plans to validate Autonomous features Design efficient test programs to achieve test coverage of requirements and scenarios, drawing on simulation, and analysis where possible Maintain traceability between requirements, test cases, and results Troubleshoot and debug issues in the field, a

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Our Software Engineers build and own high-value products for our customers and the infrastructure that lets our business scale. Vanta's team and technology surface are growing quickly, and it's essential that we invest in the right abstractions and systems to scale with our business. As a Software Engineer, you'll build and own full-stack features and platform primitives across our stack, work closely with the teams and partners who depend on what you ship, and grow into broader technical ownership. Your work will directly accelerate Vanta's growth. Our business has found incredible product-market fit and has monetized effectively since the day we signed our first customer. We're growing at a blistering pace, which presents career-defining opportunities for engineers to accelerate their growth and to contribute to a rapidly-scaling company. Visit our Vanta Engineering Blog to learn more about what our team is working on! The Integrations Platform team mission is to power the world's largest trust automation ecosystem, enabling any person or agent to build, connect, and automate trust seamlessly. We own Vanta's integration ecosystem, which currently includes over 400 integrations across Cloud Providers (AWS, Azure, GCP), Identity Providers, Mobile Device Management (MDM), and Human Resources Information System (HRIS). We are focused on developing the Integration Platform. This includes creating shared primitives for authentication, lifecycle, observability, and publishing to ensure all integrations are built on the same foundation. Our North Star is to eliminate the barrier to building integrations entirely. We aim to enable any

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. EMPLOYER: HARVEY AI CORPORATION TITLE : Software Engineer Location: 201 3rd Street, Suite 500, San Francisco, CA 94103; Must appear in office 3 days per week; WFH permissible 2 days per week. Salary Range: 40 hours/week; $221,187 to $290,000/year Job Description : Plan, build, and maintain full-stack application features and engineering infrastructure for Harvey’s SaaS platform using React, TypeScript, CSS (including TailwindCSS), and Python. Leverage Progressive Web Application (PWA) technologies to support the performance and scalability of fast-growing SaaS products. Monitor cloud-based engineering infrastructure and implement monitoring and alerting mechanisms to proactively identify and resolve engineering or product issues. Scale large software systems to support low-latency,

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About the team The Growth & Product Platform team builds the full-stack systems and services that power user onboarding, trial activation, product discovery, and intelligent engagement across Snowflake. Our mission is to build reliable services, experimentation infrastructure, and data-driven capabilities that help users discover and adopt the full value of the AI Data Cloud. As part of our team, you will work across the full stack: React and TypeScript frontends, Go and Node.js/TypeScript backend services, Java platform integrations, and SQL-based data platforms. A key area of focus is driving Snowflake's product-led growth (PLG) motion and developer adoption initiatives for Cortex Code, our AI-powered development environment. We design in-product discovery mechanisms, intelligent prompts, and contextual starter experiences that guide users to relevant workflows and deepen engagement. We balance rigorous platform engineering with fast-paced product iteration, caring deeply about building systems that are reliable, maintainable, and observable. Snowflake is growing fast, and we are looking for strong engineers to help scale the platform capabilities driving our core product growth. AS A SENIOR SOFTWARE ENGINEER FOR THE GROWTH & PRODUCT PLATFORM TEAM, YOU WILL: Desig

Opportunity Overview: This is a unique opportunity to join a software engineering team that is growing quickly. You will build impactful healthcare technology on a modern stack utilizing your full stack software engineering background. Last but not least: People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles . We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone. What you’ll do: Lead technical design and architecture for complex features across our business intelligence platform Take full ownership of end-to-end feature releases, platform enhancements, and system optimization initiatives Drive technical decision-making by conducting thorough analysis, evaluating trade-offs, and making data-driven architectural choices Architect and implement highly scalable cloud-based data services, APIs, ETL pipelines, and user interfaces Build mission-critical backend systems supporting analytics, reporting, and complex data query capabilities at scale Design and develop intuitive UI platforms and interactive dashboards for data visualization and business intelligence Champion engineering excellence by establishing and enforcing best practices, design patterns, and coding standards Optimize system performance, identify bottlenecks, and implement solutions for scalability and reliability Define and maintain comprehensive test strategies, ensuring high code quality and test coverage Actively participate in ensuring Cohere maintains a disciplined approach to healthcare security, compliance, and data governance Mentor and coach junior and mid-level engineers, fostering their technical growth and career development Collaborate cross-functionally with product, data science, analytics, and business stakeholders to deliver robust technical solutions ISMS roles and respon

Senior Product Engineer At Amplitude, we’re building the operating system for digital products. While we’re known as the leader in product analytics, our Statsig team is redefining how companies learn, iterate, and ship better experiences. Statsig is one of the fastest-growing and most strategic bets at Amplitude. It sits at the intersection of product, data, and decision-making, and we’re looking for a Product Engineer to help take it to the next level. Why this role matters This isn’t a “take tickets and ship code” role. You’ll operate as an owner, shaping both the product and the technical direction of a system used by some of the most sophisticated product teams in the world. You’ll work across the stack, React frontend, Node.js and Python backend, to build intuitive, high-performance experiences that make experimentation accessible, powerful, and trustworthy. What you’ll do Own critical product surfaces end-to-end from ideation to production and beyond Drive product direction in partnership with design and product leaders Build and evolve systems across React, Node.js, and Python that scale with customer growth Leverage modern AI tooling to dramatically accelerate development, prototyping, and iteration cycles Raise the bar for engineering quality - code, architecture, and user experience Lead by example - through hands-on development, technical mentorship, and thoughtful decision-making Move fast on ambiguous problems, turning ideas into shipped, customer-facing value What we’re looking for 5+ years of experience in software engineering (full stack experience preferred) Education: B.S. in Computer Science or an equivalent technical field Proven experience operating at a senior-level scope. You’ve led large, ambiguous initiatives with significant business impact Strong full-stack expertise (React + backend systems such as Node.js and/or Python) A deep sense of ownership - you don’t wait for direction; you create it Exceptional product taste - you care deeply ab

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. The Mandate: Industry Disruption and 10x Scale: Vision: Product Foundry is Replit's internal engine for innovation . We move Replit beyond being a collaborative development environment to becoming the foundational operating system for the entire next generation of software, where AI Agents are the primary actors. The 10x Goal: Our purpose is to launch high-risk, full-stack 0→1 initiatives that define and establish entirely new, multi-billion-dollar product categories. We are seeking non-linear growth opportunities, fundamentally aiming to 10x Replit's value and addressable market by proving out unprecedented technical primitives and disruptive Go-To-Market strategies. The Audience: We build for the next generation of creators and high-leverage users and enterprises, equipping them with tools that enable them to build anything, anywhere . Candidates that do well here will certainly go on to build their own companies in the future! This is a high visibility role reporting to Execution Model: High-Agency Founding Teams Structure: We operate as a collective of in-house technical founders —not just specialized engineers. Initiatives are run by lean, autonomous squads built for velocity and maximum technical leverage. This model is centered around an Engineer DRI (Directly Responsible Individual) who maintains total ownership over the initiative's technical, product, and launch success, supported by fractional PM and Design resources. Cadence: We enforce rapid iteration and rapid market validation via 3-week sprints per initiative. This cadence forces fast deployment, immediate user feedback, and tight alignment with the internal betting table process, mirroring the intensity and speed of a lean startup. Required skills and

Join the engineering teams that bring OpenAI’s ideas safely to the world!! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role We’re building the observability product for OpenAI—from scalable infrastructure to a rich, AI-powered UI. Our systems ingest over petabytes of logs and billions of time series metrics across our fleet. We're now layering intelligence on top—think agents that summarize SEVs, auto-generate dashboards, or help engineers debug through notebook-like UIs. We’re hiring software engineers across the stack—infra, backend, and product. You’ll join a small, gritty team building both foundational infra and novel internal tools to make OpenAI's production systems reliable, performant, and observable. What You’ll Do Own core observability infrastructure, including distributed logging, time series, and trace storage Build AI-native tools that help engineers detect, understand, and resolve issues autonomously. Contribute to UI experiences like dashboards, notebooking, or interactive debugging Collaborate closely with engineers, researchers, user ops, and other teams across the company to build the next generation observability product You Might Be a Fit If You: Have operated large-scale distributed systems in production. ( especially logging systems or some other time series databases) Thrive in ambiguous environments and roll up your sleeves to solve unscoped problems. Have full-stack chops or product sensibilities—you're excited to build real tools people use. Have strong fundamentals in systems, networking, and cloud infra (Kubernetes, AWS, etc). Bonus : built or contributed to observability systems (e.g. Prometheus, OpenTelemetry, etc). Why This Team We’re b

About Us Herald is transforming how commercial insurance gets sold. We combine modern API infrastructure with industry-specific AI that can read emails, extract data, generate quotes, and guide brokers through submission workflows end-to-end. The result: faster placement, cleaner operations, and meaningful revenue growth. The market is huge, the need is obvious, and the product we’re building doesn’t exist yet. If you want to help shape the operating system for modern insurance, we’d love to work with you. We’re a team of insurtech veterans with experience at At-Bay , Kin , and Insurify . We’ve raised our Series A funding from top-tier VCs ( Lightspeed , Brewer Lane, Afore , Underscore ) along with a panel of insurtech founders ( At-Bay , Marble ), insurance executives ( CRC ), and early employees of other successful API infrastructure companies ( Plaid , Alloy ). The role Herald is building Babbix, an AI-native platform that commercial insurance brokers use to create submissions and get quotes directly from their inbox. It orchestrates broker workflows end-to-end by combining classification pipelines, data extraction models, and a broker-facing web interface. Delivering high-quality product experiences and shipping new AI-driven capabilities are core to our success. As a Senior Software Engineer (Full Stack) on the Babbix product, you’ll drive major product initiatives from inception to delivery. You’ll work directly with brokers and internal stakeholders to shape ideas, turn them into designs, and build them into production-ready features. You’ll work across the stack, from frontend UI to backend APIs to model orchestration, to deliver effortless workflows and make our AI output transparent, accurate, and trustworthy Why This Role Matters Commercial insurance is one of the last major industries still powered by email. Every submission, quote, and policy must be manually processed by brokers, slowing them down and costing them deals. By bu

Senior Product Engineer At Amplitude, we’re building the operating system for digital products. While we’re known as the leader in product analytics, our Statsig team is redefining how companies learn, iterate, and ship better experiences. Statsig is one of the fastest-growing and most strategic bets at Amplitude. It sits at the intersection of product, data, and decision-making, and we’re looking for a Product Engineer to help take it to the next level. Why this role matters This isn’t a “take tickets and ship code” role. You’ll operate as an owner, shaping both the product and the technical direction of a system used by some of the most sophisticated product teams in the world. You’ll work across the stack, React frontend, Node.js and Python backend, to build intuitive, high-performance experiences that make experimentation accessible, powerful, and trustworthy. What you’ll do Own critical product surfaces end-to-end from ideation to production and beyond Drive product direction in partnership with design and product leaders Build and evolve systems across React, Node.js, and Python that scale with customer growth Leverage modern AI tooling to dramatically accelerate development, prototyping, and iteration cycles Raise the bar for engineering quality - code, architecture, and user experience Lead by example - through hands-on development, technical mentorship, and thoughtful decision-making Move fast on ambiguous problems, turning ideas into shipped, customer-facing value What we’re looking for 3+ years of experience in software engineering Education: B.S. in Computer Science or an equivalent technical field Proven experience operating at a senior-level scope. You’ve led large, ambiguous initiatives with significant business impact Strong full-stack expertise (React + backend systems such as Node.js and/or Python) A deep sense of ownership - you don’t wait for direction; you create it Exceptional product taste - you care deeply about UX, details, and building thin

About Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024, 2025) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! This role is hybrid requiring 2 days in office at our San Francisco or NYC hub every Tuesday & Wednesday. About the Role Machine Learning is a cornerstone at Taskrabbit, and we're looking for a Staff Machine Learning Engineer to join our team and lead the next phase of our customer retention strategy. This is a critical, full-stack role for an individual who is passionate about the end-to-end lifecycle: from initial research and model development to building the robust systems that power repeat customer engagement and lifetime value growth at scale. Taskrabbit's greatest growth opportunity lies in deepening customer relationships and accelerating repeat purchases. Our most valuable customers are those who return frequently, discover new service categories, and increase their spending over time. There's significant untapped potential in the marketplace: repeat customers spend 3-5x more than one-time users, and category expan

About Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024, 2025) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! This role is hybrid requiring 2 days in office at our San Francisco or NYC hub every Tuesday & Wednesday. About the Role Machine Learning is a cornerstone at Taskrabbit, and we're looking for a Staff Machine Learning Engineer to join our team and lead the next phase of our customer retention strategy. This is a critical, full-stack role for an individual who is passionate about the end-to-end lifecycle: from initial research and model development to building the robust systems that power repeat customer engagement and lifetime value growth at scale. Taskrabbit's greatest growth opportunity lies in deepening customer relationships and accelerating repeat purchases. Our most valuable customers are those who return frequently, discover new service categories, and increase their spending over time. There's significant untapped potential in the marketplace: repeat customers spend 3-5x more than one-time users, and category expan