Software Engineer

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.

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.