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Technical Product Owner – AI & Agents
Rainforest. Own the product direction for the agent harness, including the knowledge, skills, and tools that make it valuable beyond a thin wrapper on an LLM .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building agentic products and LLM-based systems, with a strong focus on evaluation, regression testing, and AI coding tools. Possesses exceptional communication skills to convey complex concepts to diverse audiences while thriving in a fast-paced, autonomous environment.
Highest-signal resume keywords
Agentic Product DevelopmentLLM Landscape KnowledgeAI Coding Tools ProficiencyEvaluation and Regression TestingMCP and Agent-to-Agent Protocols
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Agent Harness DevelopmentPrompt AssemblyModel SelectionTelemetry SystemsMulti-Model ArchitecturesEmbedding TechniquesEvaluation Suite BuildingRegression TestingHands-On CodingTechnical Background
Soft Skills
Exceptional CommunicationComfort with AmbiguityAutonomy in Fast-Paced Environments
Tools & Technologies
AI Coding ToolsTelemetry SystemsMCP
Industry Keywords
FintechPaymentsAgentic Workflows
Tech Stack
Tools & technologiesAssembly
About the role
Key responsibilities & impact- Own the product direction for the agent harness, including the knowledge, skills, and tools that make it valuable beyond a thin wrapper on an LLM
- Define and build evaluation, regression testing, and telemetry systems that keep agents accurate as models and prompts change
- Tune agent behavior hands-on across prompts, knowledge base, and skills in partnership with engineering
- Drive model selection and routing decisions across multiple LLMs, balancing capability, latency, and cost
- Design how clients’ agents interoperate with Rainforest through MCP and agent-to-agent communication
- Make product changes directly using AI coding tools and partner with engineers to review and ship them
- Serve as an internal thought leader on AI and agents, helping teams adopt agentic workflows
- Represent agentic products externally with clients and the broader market
Requirements
What you’ll need- 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
- Strong technical background 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
- Experience in payments or fintech is a plus
- Must live in the surrounding Atlanta-metro area and be willing to come to the Buckhead office twice a week
- Rainforest is unable to provide visa sponsorship
Benefits
Comp & perks- Comprehensive health benefits package
- Unlimited paid time off
- Paid parental leave
- Fun and flexible working environment
- Continuous investment in people and culture