Product Engineer

your Jared; München; Hybrid; EUR 104.000 - 165.000; Vollzeit

Zusammenfassung

your Jared is seeking a product engineering professional to ship features for an AI agent evaluation product that converts traces into reliable regression tests. You will publish in public to surface community feedback that informs the product roadmap.

Role requires building features, evangelizing on X and GitHub, and engaging with AI engineers. You will operate across extraction, evaluation, and developer tooling with a strong emphasis on DX.

Qualifikationen

• 3+ years of production software experience.
• Strong Python proficiency for production code.
• Hands-on experience with agent frameworks such as LangGraph, Claude Code, or equivalent tools.
• Experience with evaluation systems for LLM/agent outputs and trace data, observability, or debugging.
• Experience shipping developer tools, SDKs, or APIs with good docs and demos.
• Open-source contributions with measurable adoption or usage by other developers.
• Active presence in AI engineering communities on GitHub, X, or similar platforms.
• Comfort in early-stage, high-uncertainty environments and multi-hat roles.

Aufgaben

• Build and ship product features, including evals, replay, cohorts, and DX improvements.
• Create in public on X and GitHub; demo and engage with the AI engineering community.
• Wear multiple hats: feature work, marketing motion, customer demos, or community engagement.
• Stay close to AI agent builders, eval practitioners, and developers using agent frameworks.
• Close the loop between community feedback and what ships; remove barriers between build and distribution.

Kenntnisse

Python

Agent frameworks

Open-source

Dev tools

Community engagement

Tools

LangGraph

Claude Code

GitHub

Jobbeschreibung

About the Role

This is a product engineering role at the intersection of building and distribution, focused on an AI agent evaluation product that transforms traces into reliable regression tests. You will ship features directly used by AI agent builders while creating in public to surface community signal that feeds back into the product. If you believe invisible shipping is shipping that doesn't matter, this role was written for you.

What You'll Do

• Build and ship product features, including evals, replay, cohorts, and developer experience improvements, with strong taste and judgment about what is genuinely useful versus surface-level theater.

• Create in public on X and GitHub, posting, demoing, and engaging with the AI engineering community to pull signal directly into product decisions.

• Wear whatever hat the week demands, whether that is feature work, a marketing motion, customer demos, or community engagement, focusing on whatever moves the needle.

• Stay close to the target user, including AI agent builders, eval practitioners, and developers working with agent frameworks and custom runtimes.

• Close the loop between community feedback and what ships, ensuring no wall exists between build and distribution.

What We're Looking For

• 3+ years of experience building or shipping production software, with demonstrated work building or evaluating agents in real systems.

• Strong Python proficiency for production code.

• Hands-on experience with agent frameworks such as LangGraph, Claude Code, or equivalent tools.

• Experience with evaluation systems for LLM or agent outputs, and with trace data, observability, or debugging agent execution.

• Experience shipping developer tools, SDKs, or APIs with attention to documentation, ergonomics, and demos.

• Open-source contributions with measurable adoption or usage by other developers.

• Active presence in AI engineering communities on GitHub, X, or similar platforms.

• Comfort operating in early-stage, high-uncertainty environments where wearing multiple hats is a necessity, not an exception.

• Strong design and developer experience instincts across docs, APIs, and demos.

Compensation & Benefits

Salary range: $120,000 to $190,000 USD annually.

Location

Fully remote. Primary location is Munich, Bavaria, Germany, though candidates in other remote-friendly locations are also considered.