Technical Product Owner - AI & Agents

Rainforest is an early stage payments-as-a-service startup that has developed a solution that makes monetizing payments for vertically focused software platforms fair and simple. It focuses on small-to-mid sized platforms that want to add value to their small business customers through embedded payments without adding operational or regulatory burdens or costs. Led by a successful repeat fintech founder, with venture backing from a Top 10 VC firm. The role is a deeply technical Product Manager position for the AI & Agents team, owning agentic products that help vertical SaaS platforms run and grow their payments programs.

Responsibilities

Owning the product direction for the agent harness, including the knowledge, skills, and tools that make it valuable beyond a thin wrapper on an LLM; Defining and building the evaluation, regression testing, and telemetry that keep agents accurate as models and prompts change; Tuning agent behavior hands-on, from prompts to knowledge base to skills, in close partnership with engineering; Driving model selection and routing decisions across multiple LLMs, balancing capability, latency, and cost; Designing how clients' own agents interoperate with Rainforest through MCP and agent-to-agent communication; Making product changes directly using AI coding tools and partnering with engineers to review and ship them; Serving as an internal thought leader on AI and agents, helping teams across Rainforest adopt agentic workflows; Representing agentic products externally with clients and the broader market; Owning the agentic products that help vertical SaaS platforms run and grow their payments programs

Requirements

Hands-on experience building agentic products or agent harnesses, including tool use, memory, prompt assembly, and evaluation; Deep, current knowledge of the LLM landscape, including frontier and open-weight models and where each performs well; Daily fluency with AI coding tools and comfort making real code changes; Experience building evals or regression suites for LLM-based systems; Familiarity with MCP, agent-to-agent protocols, embeddings, and multi-model architectures; A strong technical background, whether from product, engineering, or an adjacent role; Exceptional written and verbal communication, with the ability to explain complex systems to technical and non-technical audiences; Comfort with ambiguity and a high degree of autonomy in a fast-moving startup

Nice to have

Experience in payments or fintech

Benefits

Comprehensive health benefits package; Unlimited paid time off; Paid parental leave; Fun and flexible working environment; Continuous investment in people and culture