# Senior Software Engineer, Growth Enablement **Company:** [Replit](https://scaleengineer.com/companies/replit) As the founding engineer for Growth Enablement at Replit, you will architect agentic growth systems that monitor performance, diagnose failures, and optimize acquisition across web, mobile, and billing channels. This role combines deep backend engineering expertise with growth systems architecture, building attribution measurement platforms, audience pipelines, and reusable promotion frameworks that enable Replit's marketing and sales teams to scale acquisition with data-driven precision. You will work at the intersection of AI-native growth platforms and modern marketing technology infrastructure, requiring strong TypeScript/Node or Python skills, advanced SQL proficiency, and hands-on experience with marketing technology systems and high-scale event pipelines. **Role:** Senior Software Engineer **Seniority:** Senior **Locations:** Foster City, CA **Salary:** 220000–320000 USD [Apply](https://jobs.ashbyhq.com/replit/f2f56292-890e-498c-844c-07f2bea8ea7a) Canonical: https://scaleengineer.com/jobs/replit/senior-software-engineer-growth-enablement --- ## Responsibilities - Design Agentic Growth Systems: Architect agentic growth systems that autonomously monitor performance metrics, diagnose failures in real-time, execute approved experiments, and iteratively improve from results. These systems will leverage AI to automate optimization cycles that traditionally require manual intervention from growth and marketing teams. - Implement AI-Native Growth Optimization: Explore and implement AI-native approaches to answer engine optimization, campaign operations automation, audience discovery algorithms, and multi-touch attribution measurement. Build systems that leverage machine learning to improve acquisition efficiency and marketing ROI at scale. - Build Cross-Platform Attribution Measurement: Design and implement comprehensive acquisition measurement systems spanning web and mobile platforms, including click-ID capture mechanisms, probabilistic and deterministic identity matching, server-side conversion APIs, and warehouse-based multi-touch attribution models. Ensure accurate revenue attribution across all customer touchpoints. - Establish Deep Linking Standards: Create standardized deep linking infrastructure and context transfer protocols across web, iOS, Android, and app store handoff flows. Enable seamless user journeys across platforms while maintaining accurate attribution and user experience consistency. - Develop Reusable Growth Infrastructure: Build modular, reusable systems and platforms for promotions management, referral mechanics, campaign landing page generation, fraud detection and prevention controls, attribution tracking, and holdout group measurement for experimental rigor. - Design Audience Synchronization Pipelines: Architect audience data pipelines that sync warehouse-defined cohorts, exclusion lists, and segmentation rules to each marketing delivery channel in real-time. Enable precise audience targeting while maintaining data governance and compliance standards. - Collaborate with Cross-Functional Partners: Work directly with marketing, sales, and partnerships teams to translate ambiguous business requirements into well-defined technical systems. Identify highest-leverage growth problems and ship iterative solutions that become reusable platforms for the go-to-market organization. ## Requirements ### education - {"name":"Computer Science or Related Field","description":"Bachelor's degree in Computer Science, Computer Engineering, or equivalent professional software engineering experience demonstrating mastery of computer science fundamentals."} ### technical - {"name":"Backend Programming Expertise","description":"4+ years of professional software engineering experience with strong backend development skills in TypeScript/Node.js, Python, Go, or equivalent systems programming languages. Demonstrated ability to build scalable, production-grade backend systems."} - {"name":"SQL and Data Warehouse Proficiency","description":"Expert-level SQL skills and hands-on experience working with modern data warehouses and event instrumentation platforms. Ability to write complex analytical queries, design efficient data schemas, and work with streaming and batch data pipelines."} - {"name":"Growth Technology Systems Experience","description":"Hands-on production experience building one or more of: attribution systems and multi-touch modeling, marketing technology infrastructure, deep linking and mobile routing, payment webhook integration and billing systems, or high-scale event collection and processing pipelines."} - {"name":"Cross-Functional Technical Communication","description":"Proven track record of collaborating with non-engineering partners including product, marketing, and business teams to translate ambiguous requirements into shipped technical systems. Ability to explain technical constraints and trade-offs in business terms."} ### experience - {"name":"Growth or MarTech Infrastructure Development","description":"Experience building growth infrastructure or marketing technology platforms at consumer or product-led growth (PLG) companies. Ideally includes building referral systems, promotion platforms, lifecycle marketing tooling, or customer data platforms (CDPs)."} - {"name":"Agentic Systems and Autonomous Software","description":"Experience designing and building AI agents that act on business data with clear evaluation metrics, permission frameworks, and human control mechanisms. Understanding of how to safely deploy autonomous systems in production."} - {"name":"Marketing Experimentation Platforms","description":"Hands-on experience with experimentation platforms like Statsig, LaunchDarkly, or Optimizely, and lifecycle engagement tools like Iterable, Braze, or Mixpanel. Understanding of A/B testing infrastructure and experiment lifecycle management."} - {"name":"Privacy and Consent in Marketing Data","description":"Familiarity with privacy regulations (GDPR, CCPA), consent management, data residency requirements, and privacy-preserving approaches to marketing data pipelines and audience synchronization."} ## Skills ### required - {"name":"TypeScript/Node.js or Python","description":"Expert-level proficiency in TypeScript and Node.js, or Python, with ability to architect and implement complex backend systems, APIs, and event processing pipelines."} - {"name":"SQL and Analytics Engineering","description":"Advanced SQL skills including query optimization, complex joins, window functions, and ability to work with modern data warehouses like Snowflake, BigQuery, or Redshift. Strong understanding of data modeling for analytics."} - {"name":"System Design and Architecture","description":"Ability to design scalable systems and APIs for high-volume event processing, real-time data pipelines, and distributed systems. Understanding of trade-offs between consistency, availability, and partition tolerance."} - {"name":"API Integration and Webhooks","description":"Strong experience designing and integrating with third-party APIs, building webhook consumers, handling asynchronous events, and managing API authentication and rate limiting."} - {"name":"Data Pipeline Development","description":"Hands-on experience building and maintaining ETL/ELT pipelines, event streaming systems, and data transformations. Knowledge of tools like Airflow, dbt, or equivalent workflow orchestration systems."} ### preferred - {"name":"Mobile Attribution Technologies","description":"Experience shipping mobile attribution implementations using OneLink, Universal Links, App Links, or SKAN (Apple's privacy-focused attribution). Understanding of iOS and Android app tracking frameworks."} - {"name":"Payment System Integration","description":"Experience carrying attribution through payment processing systems like Stripe, Razorpay, or Paddle. Knowledge of billing webhook architectures and revenue attribution patterns."} - {"name":"AI Agent Development","description":"Regular hands-on use of AI agents (GPT-4, Claude, or similar) for code planning, implementation, testing, review, and documentation. Comfort with AI-assisted development workflows and prompt engineering."} - {"name":"Growth Analytics Platforms","description":"Experience with CDP platforms, analytics tools, or growth experimentation systems. Understanding of funnel analysis, cohort analysis, and retention metrics frameworks."} - {"name":"Open-Source Contributions","description":"Active contributions to open-source projects related to data engineering, backend systems, or growth technology. Track record of thoughtful system design in production codebases."} ## Tech stack ### tools - {"name":"Statsig or LaunchDarkly","description":"Feature flagging and experimentation platforms for running controlled A/B tests, managing rollouts, and analyzing experiment impact on acquisition metrics."} - {"name":"Segment or mParticle","description":"Customer data platforms (CDPs) for unified event collection, identity resolution, and audience segmentation across web and mobile channels."} - {"name":"Iterable or Braze","description":"Lifecycle marketing platforms for managing campaigns, audience synchronization, and measuring engagement metrics across email, push, and SMS channels."} - {"name":"Stripe or Razorpay","description":"Payment processing platforms requiring integration for revenue attribution, subscription management, and financial data sync with growth measurement systems."} - {"name":"Git and GitHub","description":"Version control and collaboration for managing codebase, code review, CI/CD pipelines, and documentation of growth systems architecture."} - {"name":"Datadog or CloudWatch","description":"Observability platforms for monitoring system performance, error rates, data pipeline health, and debugging production issues in real-time."} ### others - {"name":"Deep Linking Frameworks","description":"Apple Universal Links, Android App Links, and third-party deep linking services for enabling seamless cross-platform user journeys while preserving attribution data."} - {"name":"Privacy and Compliance Standards","description":"GDPR, CCPA, and consent management frameworks for handling personal data responsibly in marketing data pipelines and audience synchronization."} - {"name":"RESTful API Design Patterns","description":"Best practices for designing scalable APIs, handling pagination, filtering, versioning, and maintaining backward compatibility for growth platform integrations."} - {"name":"Machine Learning and AI Integration","description":"Familiarity with incorporating AI agents and ML models into growth systems for predictive analytics, audience propensity scoring, and autonomous optimization."} ### databases - {"name":"Snowflake or BigQuery","description":"Cloud-native data warehouses for large-scale analytics, cohort definitions, attribution modeling, and serving as the single source of truth for growth metrics."} - {"name":"PostgreSQL","description":"Production relational database for operational systems, transactional consistency, and storing user, campaign, and billing data with complex relationships."} - {"name":"Redis","description":"In-memory cache for rate limiting, session management, real-time counters, and caching frequently accessed cohorts or audience segments."} - {"name":"Apache Kafka or Segment","description":"Event streaming platforms for collecting, routing, and processing high-volume behavioral data from web and mobile applications into warehouse and operational systems."} ### languages - {"name":"TypeScript/Node.js","description":"Primary backend language for modern API development, real-time systems, and event processing pipelines at scale."} - {"name":"Python","description":"Essential for data transformation pipelines, analytics queries, experimentation platforms, and machine learning integration in growth systems."} - {"name":"Go","description":"Suitable for high-performance systems, concurrent event processing, and microservices that require strict latency requirements and efficient resource utilization."} - {"name":"SQL","description":"Critical for complex analytical queries, cohort definitions, attribution modeling, and warehouse-based data transformations in the data lake."} ### frameworks - {"name":"Express.js or Fastify","description":"Web frameworks for building RESTful APIs, webhook consumers, and backend services that handle high-volume requests from mobile and web clients."} - {"name":"Pydantic and FastAPI","description":"Python frameworks for building type-safe data pipelines and APIs with automatic validation, documentation, and integration with data processing workflows."} - {"name":"Airflow or Dagster","description":"Workflow orchestration frameworks for managing complex data pipelines, scheduling ETL jobs, and building reproducible data transformations."} - {"name":"dbt (Data Build Tool)","description":"Transformation framework for building modular, version-controlled SQL transformations that enable analytics engineering best practices and reusable metrics."} ## Benefits ### benefits - {"name":"Competitive Salary and Equity Package","description":"Comprehensive compensation including base salary, restricted stock units (RSUs), and equity upside participation in Replit's mission to democratize software development."} - {"name":"401(k) Retirement Program with Company Match","description":"Tax-advantaged retirement savings with 4% company match, available for US employees to build long-term financial security."} - {"name":"Comprehensive Health Benefits","description":"Full suite of medical, dental, and vision insurance coverage, plus life insurance to protect you and your family's financial security."} - {"name":"Disability and Wellness Coverage","description":"Short-term and long-term disability insurance, paid parental leave, medical leave, and caregiver leave ensuring support during major life transitions."} - {"name":"Flexible Time Off and Holidays","description":"Unlimited flexible time off (FTO) policy plus company holidays, empowering you to manage work-life balance and take time when needed."} - {"name":"Commuter and Wellness Benefits","description":"Pre-tax commuter benefits for in-office employees and monthly wellness stipend for fitness, mental health, or health-related expenses."} - {"name":"Office Environment and Remote Flexibility","description":"Hybrid work arrangement (Monday, Wednesday, Friday in-office at Foster City, CA) with autonomous work environment, office setup reimbursement, and in-office amenities."} - {"name":"Team Connection and Gatherings","description":"Quarterly team gatherings and in-office amenities (Foster City location) fostering collaboration, culture-building, and cross-team connection among distributed team members."} ## Compensation - **max:** 280000 - **min:** 180000 - **currency:** USD - **stockOptions:** true ## Interview process ### steps ## Full description 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. ## About Replit Replit is building the world's most ubiquitous AI coding agent. Replit Agent can be used by anybody to bring their ideas to life. Whether it's an app for yourself, the next great startup idea, or a tool to make you more productive at work, Replit Agent can help build it. Replit is also the leader in secure vibe coding. We protect apps, give users features to manage security risks, and help them vibe code more safely. ## About the role: Replit is changing how people and companies turn ideas into software. Reaching those customers requires engineering that connects acquisition to the product experience and gives teams trustworthy evidence about what works. This role goes beyond operating conventional marketing technology. You will rethink growth systems for a world where agents can observe performance, diagnose problems, take action, and learn from the result. As the founding engineer for Growth Enablement, you will set the technical direction for this area. You will build agentic systems alongside shared foundations for attribution, audiences, lifecycle engagement, referrals, and promotions. The work spans web, mobile, billing, and data. You will work directly with marketing, sales, and partnerships to find the highest-leverage problems and ship the first solutions. Successful projects will become platforms that help these teams move faster and give Replit a clearer view of what drives durable growth. ## You will: * Design agentic growth systems that monitor performance, diagnose failures, run approved experiments, and improve from the results. * Explore AI-native approaches to answer engine optimization, campaign operations, audience discovery, and measurement. * Build acquisition measurement across web and mobile, including click-ID capture, identity matching, server-side conversion APIs, and warehouse attribution. * Create a shared standard for deep links and context transfer across web, iOS, Android, and app-store handoffs. * Build reusable systems for promotions, referrals, campaign landing pages, fraud controls, attribution, and holdout measurement. * Build audience pipelines that sync warehouse-defined cohorts and exclusions to each delivery channel. * Work directly with marketing, sales, and partnerships to turn business needs into technical systems. ## Required skills and experience: * 4+ years of professional software engineering experience, with strong backend expertise in TypeScript/Node, Python, Go, or a similar language. * Strong SQL skills and experience working with a data warehouse and event instrumentation. * Hands-on experience with attribution, marketing technology, deep linking, payment webhooks, or high-scale event pipelines. * A record of working with non-engineering partners to turn ambiguous business needs into shipped systems. ## Preferred Qualifications * Built growth or martech infrastructure at a consumer or PLG company, such as referral systems, promotion platforms, lifecycle tooling, or CDPs. * Built agents that act on business data with clear evaluations, permissions, and human controls. * Experience with experimentation platforms such as Statsig and lifecycle tools such as Iterable. * Familiarity with privacy and consent handling in marketing data pipelines. ## _Bonus Points_: * Experience shipping mobile attribution with OneLink, Universal Links, App Links, or SKAN. * Experience carrying attribution through payment systems such as Stripe or Razorpay. * Regular use of AI agents to plan, implement, test, or review your work. ## What we value: * Extreme ownership: identify important work, carry it through launch, and resolve blockers quickly. * Data-driven decisions: define hypotheses and success criteria before launch, then change direction when the evidence calls for it. * No borders: solve the highest-impact problem, whether it requires a PRD, a warehouse query, code, or campaign setup. * Speed through reversibility: ship the smallest step that produces useful signal, and slow down for decisions that are hard to reverse. * Strong communication: make technical constraints and business requirements clear to engineers and go-to-market partners. _This is a full-time role that can be held from our Foster City, CA office. The hybrid role has an in-office requirement of Monday, Wednesday, and Friday._ **Full-Time Employee Benefits Include:** 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (_US Only_) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (_In-Office & US Only_) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (_In-Office Only_) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (_In-Office Only_) **Want to learn more about what we are up to?** * [Self-driving Company](https://replit.com/blog/self-driving-company) * [Replit Agent at Scale](https://replit.com/blog/evaluating-and-improving-agent-at-scale) * [AI Adoption](https://replit.com/blog/ai-adoption) * [Build Open-Source Apps](https://replit.com/build/open-source-app-builder) **Interviewing + Culture at Replit** * [Operating Principles](https://blog.replit.com/operating-principles) * [Reasons not to work at Replit](https://blog.replit.com/reasons-not-to-join-replit) To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.