Product Engineer (Growth)

New

Remote Europe/USAFull-TimeMiddle

Salary not disclosed

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Job Details

Strong software engineering fundamentals, including comfort with APIs, databases, async workflows, and CI/CD.
Python or TypeScript proficiency (preferred, but engineering taste is more important).
Hands-on experience with LLMs, including tool-use APIs, structured output, and making AI reliable.
Understanding of agent architecture (chains, routers, autonomous agents) and multi-agent coordination.
Familiarity with tool-use patterns, memory management, and human-in-the-loop design.
Strong product instinct to identify AI leverage and think in workflows.
Comfort with ambiguity, defining stack, standards, and making tradeoffs.
Experience with CRM systems (HubSpot in particular) and GTM tooling (nice to have).
Familiarity with Slack APIs, Gmail APIs, and webhook-driven architectures (nice to have).
Prior work in billing, fintech, or developer tools (nice to have).
Experience building evaluation/benchmarking frameworks for AI systems (nice to have).
Contributions to open-source projects (nice to have).

Decompose monolithic AI skills into composable agents built on Claude Code and the Claude Agent SDK.
Design the system to be multi-user, allowing multiple team members to interact with agents from their own context with a shared state layer.
Build self-improvement loops where feedback signals are automatically captured, calibration rules are proposed and reviewed, and agents track their own accuracy.
Extend the platform to new workflows such as deal-stage automation, customer intelligence, renewal risk scoring, and competitive monitoring.
Ship, measure, and iterate on every agent, ensuring graceful handling of edge cases and earning user trust through data-driven improvements.

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