Technical Product Owner - AI & Agents

Rainforest•Atlanta, GA

About The Position

Rainforest is seeking a deeply technical product manager for its AI & Agents team. The role owns agentic products that help vertical SaaS platforms run and grow their payments programs. It focuses on building and improving the systems around models—including harnesses, tools, memory, and evaluations—rather than traditional product management alone. The Product Owner will also help shape the use of AI and agents across Rainforest by partnering with teams company-wide to introduce agentic workflows.

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 evaluations or regression suites for LLM-based systems.
  • Familiarity with MCP, agent-to-agent protocols, embeddings, and multi-model architectures.
  • A strong technical background from product, engineering, or an adjacent role.
  • Exceptional written and verbal communication skills, including 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 Haves

  • Experience in payments or fintech.

Responsibilities

  • Own 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 to maintain agent accuracy as models and prompts change.
  • Tune agent behavior hands-on, including prompts, knowledge bases, and skills, in close 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 across Rainforest adopt agentic workflows.
  • Represent agentic products externally with clients and the broader market.

Benefits

  • Comprehensive health benefits package.
  • Unlimited paid time off.
  • Paid parental leave.
  • Fun and flexible working environment.
  • Ongoing investment in employees and company culture.
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