Senior Product Engineer

Clera

Munich, Germany

On-site

Who this role is best for

Best suited to candidates with open-source experience and a background in AI agent development working in a startup environment.

Best fit for

Candidates with open-source experience and a background in AI agent development working in a startup environment
— “Open-source contributions with evidence of adoption by other developers”
Individuals who thrive in high-uncertainty environments and are comfortable with technical discussions on public platforms
— “Comfort working in an early-stage startup or other high-uncertainty environment, taking on multiple responsibilities and participating in technical discussions on X or similar platforms.”
Candidates who have experience building or evaluating agents in production and are familiar with agent frameworks and observability tools
— “At least 3 years of experience building or shipping production software, including experience building or evaluating agents in production.”

Things to consider

The role requires a candidate to be active in community engagement and technical communication on public platforms
— “Share technical work through posts, demos, and discussions on X and GitHub, and use community feedback to inform product priorities.”
Despite being remote-friendly, the primary location is Munich, which may influence relocation considerations
— “Remote, with Munich, Bavaria, Germany as the primary location.”

How to stand out

Emphasize your ability to translate community feedback into product decisions
— “Use community feedback to inform product priorities”
Showcase experience with agent frameworks, evaluation systems, and observability tools
— “Strong Python skills and hands-on experience with agent frameworks, evaluation systems, traces, observability, or agent debugging.”
Demonstrate your ability to engage in technical discussions and share work publicly
— “Participating in technical discussions on X or similar platforms.”
Include examples of go-to-market activities you've supported for products you engineered
— “Experience supporting go-to-market activity for a product you engineered, such as technical demos or community engagement.”

Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

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

What success looks like

build and ship features for agent evaluation, replay, cohorts, and developer experience
improve the product based on community feedback

Typical background

building or shipping production softwarePython skillsagent frameworks

Skills & requirements

Required

Building And Shipping FeaturesCommunity EngagementTechnical Work SharingProduct EngineeringAI Agent Evaluation

Preferred

PythonAgent FrameworksEvaluation SystemsTracesObservabilityAgent Debugging

Stack & domain

PythonAgent FrameworksEvaluation SystemsTracesObservabilityAgent DebuggingOpen-source ContributionsDeveloper ToolsSdksApisLibrariesCLI ToolsProduct DesignDeveloper ExperienceDocumentationAPI ErgonomicsDemosTechnical DemosCommunity EngagementCommunicationAttention To DetailTeamworkLeadershipAI

About the role

Original posting from Clera via Ashby

ABOUT THE ROLE
Join a small AI developer tooling team building a product that helps developers evaluate AI agents by working with execution traces. This hands-on role combines product engineering with community engagement, bringing feedback from agent builders directly into product decisions.
WHAT YOU'LL DO
Build and ship features for agent evaluation, replay, cohorts, and developer experience.
Share technical work through posts, demos, and discussions on X and GitHub, and use community feedback to inform product priorities.
Work across feature development, customer demos, marketing activities, and community engagement as needed.
Stay connected to AI agent builders and evaluation practitioners, including people working with LangGraph, Claude Code, and custom runtimes.
Use insights from community conversations, demos, and issues to improve the product, then share what you learn from shipped work.
WHAT WE'RE LOOKING FOR
At least 3 years of experience building or shipping production software, including experience building or evaluating agents in production.
Strong Python skills and hands-on experience with agent frameworks, evaluation systems, traces, observability, or agent debugging.
Open-source contributions with evidence of adoption by other developers, plus experience building developer tools, SDKs, APIs, libraries, or CLI tools.
Good product design and developer experience instincts, including attention to documentation, API ergonomics, and demos.
Experience supporting go-to-market activity for a product you engineered, such as technical demos or community engagement.
Comfort working in an early-stage startup or other high-uncertainty environment, taking on multiple responsibilities and participating in technical discussions on X or similar platforms.
COMPENSATION & BENEFITS
Base salary: $125,000 to $190,000 USD annually. Visa sponsorship is available.
LOCATION
Remote, with Munich, Bavaria, Germany as the primary location.

Source: Clera careers (Ashby)