About the roleThe Growth Engineering team builds world-class products, data infrastructure, and AI systems powering Rippling's market intelligence and GTM operations. We work closely with sales, marketing, Applied AI, and data engineering teams to design systems that amplify Rippling's high-performance GTM engine, from recommendation models and enrichment pipelines to AI-driven workflows and proprietary data funnels.
We operate on a modern Growth Services infrastructure built on FastAPI, Kubernetes, Databricks, Kafka, Snowflake, PostgreSQL, Redis, and LLM APIs, enabling scalable experimentation and fast iteration.
What you will do- Build polished frontend experiences in React and TypeScript for AI-native GTM workflows, including chat interfaces, generated artifact viewers, skill libraries, embedded tools, and data-rich account/customer views.
- Develop full-stack product features across Next.js, FastAPI, Python, PostgreSQL, Redis, and data/LLM-backed services.
- Design and improve multi-turn AI chat experiences that maintain conversation state, tool-call context, attachments, user memory, and follow-up intent across long-running GTM workflows.
- Build agentic workflows using LangChain, LangGraph, and related orchestration patterns, combining LLM reasoning with deterministic tools, structured data, retrieval, and human-in-the-loop UX.
- Instrument AI workflows with LangSmith tracing, evaluation datasets, regression tests, and quality metrics so the team can measure answer quality, tool usage, latency, cost, and failure modes over time.
- Create and maintain evals for AI-generated briefings, reports, analytics answers, HTML artifacts, and multi-turn conversations, helping the team ship model and prompt changes with confidence.
- Partner with PMs, designers, sales, RevOps, Applied AI, and data engineering to turn ambiguous GTM problems into simple, high-leverage product experiences.
- Own features end to end, from product behavior and API design to frontend polish, observability, testing, and production rollout.
What you will need- 3+ years of professional software engineering experience, with strong frontend experience in React and TypeScript.
- Experience building full-stack product features with modern backend frameworks, ideally Python and FastAPI or similar.
- Hands-on experience building LLM-powered products, especially multi-turn chat, agent workflows, tool calling, retrieval, structured outputs, or generated artifacts.
- Experience with LangChain, LangGraph, LangSmith, or similar AI orchestration, tracing, and evaluation frameworks.
- Ability to design and run AI evals, debug model behavior, inspect traces, improve prompts/tools, and reason about quality across multi-turn conversations.
- Strong product intuition and a high bar for UX, interaction design, frontend quality, and performance.
- Ability to reason across frontend state, backend APIs, data models, async jobs, permissions, observability, and production debugging.
- Experience working with data-rich products, internal tools, analytics workflows, CRM systems, or GTM/sales/customer-facing systems is a strong plus.
- Clear communication skills and the ability to collaborate with technical and non-technical stakeholders.
- A bias toward ownership, practical execution, and building systems that make users meaningfully faster and better at their jobs.
Additional InformationThis role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.
A variety of factors are considered when determining someone's compensation-including a candidate's professional background, experience, and location. Final offer amounts may vary from the amounts listed below.
The pay range for this role is:
135,000 - 225,000 USD per year (US Tier 1)
