Product Engineer

Clera
Munich, Germany
On-siteCareer-pivot friendly

Who this role is best for

Product engineers with AI agent evaluation experience and open-source contributions will find this remote-first role in Munich combining technical development with community engagement.

Best fit for

  • Candidates with production AI agent evaluation experience and a history of open-source contributions to developer tools
    — “At least 3 years of experience building or shipping production software, including production experience building or evaluating AI agents.”
  • Individuals comfortable with cross-functional work in high-uncertainty environments
    — “Comfort working across responsibilities in an early-stage or otherwise high-uncertainty environment.”
  • Candidates who have shipped SDKs, APIs, or CLI tools with a focus on documentation and usability
    — “Experience shipping SDKs, APIs, CLI tools, frameworks, or libraries, with attention to documentation, ergonomics, and demos.”

Things to consider

  • This role requires public communication of technical work and active community engagement
    — “Share technical work through posts, demos, and conversations on public developer channels, and bring useful feedback into product decisions.”
  • The position demands a balance between feature development and external-facing activities like demos and marketing
    — “Work across feature development, customer demos, marketing activities, and community engagement as priorities require.”

How to stand out

  • Highlight your experience with trace data and observability in AI agent evaluation systems
    — “Experience with LLM or agent evaluation systems, trace data, observability, or debugging agent execution.”
  • Emphasize your ability to connect community feedback to product development
    — “Connect community feedback with product development, and communicate shipped improvements to the developer community.”
  • Showcase your contributions to open-source projects used by other developers
    — “Open-source contributions or developer tools with demonstrated use by other developers.”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • building and shipping features for agent evaluations
  • sharing technical work
  • working across feature development
  • connecting community feedback with product development
  • communicating shipped improvements
Typical background
3+ years of experience building or shipping production softwareproduction experience building or evaluating AI agents

Skills & requirements

Required

PythonAgent FrameworksLLM Or Agent Evaluation SystemsTrace DataObservabilityDebugging Agent ExecutionSdksApisCLI ToolsFrameworksLibrariesDocumentationErgonomicsDemosCommunity EngagementDeveloper ToolsAI Agent TeamsExecution TracesCommunity FeedbackProduct Development

Preferred

Open-source ContributionsDeveloper ToolsTechnical Work CommunicationMarketing ActivitiesCustomer DemosProduct Engineering SupportDistributionGo-to-marketTechnical Work Public Communication

Stack & domain

AI Agent TeamsAgent EvaluationsReplayCohortsDeveloper ExperiencePublic Developer ChannelsCommunity FeedbackProduct DevelopmentCustomer DemosMarketing ActivitiesCommunity EngagementAgent FrameworksLanggraphClaude CodeLLMAgent Evaluation SystemsTrace DataObservabilityDebugging Agent ExecutionOpen-source ContributionsDeveloper ToolsSdksApisCLI ToolsFrameworksLibrariesDocumentationErgonomicsDemosDistributionGo-to-marketTechnical WorkPublic CommunicationEarly-stage EnvironmentsHigh-uncertainty EnvironmentsTeamworkProblem SolvingAttention To DetailCommunicationLeadershipInitiativeCreativityEfficiencyProfessionalismConfidentialityChange ManagementContinuous LearningAIAgent Teams

About the role

Original posting from Clera via Ashby

ABOUT THE ROLE

Build developer tools that help AI agent teams evaluate and improve agents using execution traces. This product engineering role combines hands-on development with community engagement, so insights from builders can directly shape what gets shipped.

WHAT YOU'LL DO

  • Build and ship features for agent evaluations, replay, cohorts, and developer experience.
  • Share technical work through posts, demos, and conversations on public developer channels, and bring useful feedback into product decisions.
  • Work across feature development, customer demos, marketing activities, and community engagement as priorities require.
  • Stay connected to AI agent builders and evaluation practitioners, including those using agent frameworks and custom runtimes.
  • Connect community feedback with product development, and communicate shipped improvements to the developer community.

WHAT WE'RE LOOKING FOR

  • At least 3 years of experience building or shipping production software, including production experience building or evaluating AI agents.
  • Production proficiency in Python and hands-on experience with agent frameworks such as LangGraph, Claude Code, or equivalent tools.
  • Experience with LLM or agent evaluation systems, trace data, observability, or debugging agent execution.
  • Open-source contributions or developer tools with demonstrated use by other developers.
  • Experience shipping SDKs, APIs, CLI tools, frameworks, or libraries, with attention to documentation, ergonomics, and demos.
  • Experience supporting distribution or go-to-market for products you helped engineer, and communicating technical work publicly.
  • Comfort working across responsibilities in an early-stage or otherwise high-uncertainty environment.

COMPENSATION & BENEFITS

Base salary: $110,000 to $190,000 USD annually. Visa sponsorship is available.

LOCATION

Remote, with the primary location in Munich, Bavaria, Germany.

Source: Clera careers (Ashby)

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