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Rainforest

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 .

Posted 10/26/2026full-timeAtlanta • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core 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

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Applicant 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 & technologies
Assembly

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