Senior Product Engineer

Clera
Munich, Germany
On-site

Who this role is best for

Best suited to candidates with full-stack development experience working in AI-powered software environments.

Best fit for

  • Candidates with end-to-end feature ownership experience and a background in AI or machine learning development
    — “Experience owning complete features and their user experience, including information architecture, user flows, copy, and error states.”
  • Individuals with a strong grasp of React, TypeScript, and server-side logic who can shape user experiences from concept to production
    — “Hands-on experience with React and TypeScript, as well as server-side logic, APIs, and data modeling.”
  • Candidates who can balance technical execution with a focus on usability and user-centric design principles
    — “A user-focused approach, strong attention to detail, and clear communication skills.”

Things to consider

  • The role requires a 3-year minimum of full-stack feature ownership experience, which may be a barrier for less experienced candidates.
    — “At least 3 years of experience building and shipping production full-stack features end-to-end.”
  • The hybrid work arrangement in Munich implies a need for local presence or willingness to commute.
    — “Hybrid, based in Munich, Bavaria, Germany.”

How to stand out

  • Highlight specific examples of AI or machine learning feature ownership in your resume and interview stories.
    — “Experience collaborating with product designers and building AI or machine learning features in production.”
  • Showcase your ability to refine microcopy and interface details, emphasizing usability and clarity.
    — “Refine interface details such as spacing, loading states, and microcopy, and communicate decisions and trade-offs with the team.”
  • Demonstrate your skill in shaping user flows and information architecture from concept to implementation.
    — “Co-design features with a product designer or take ownership of the full feature lifecycle.”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Individual

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

What success looks like

  • building new AI interaction patterns
  • co-designing features with product designers
  • validating features solve real user problems
Typical background
full-stack developmentAI integration

Skills & requirements

Required

ReactTypeScriptServer-side LogicApisData Modeling

Preferred

PostgreSQLTrpcKubernetesDockerElectron

Stack & domain

ReactTypeScriptPostgreSQLTrpcKubernetesDockerElectronUser-focused ApproachAttention To DetailCommunication Skills

About the role

Original posting from Clera via Ashby

ABOUT THE ROLE

Join a product engineering team building AI-powered software for business users. You will work closely with a product designer to shape features from early concepts through production, making emerging AI capabilities useful and intuitive in real workflows.

WHAT YOU'LL DO

  • Build new AI interaction patterns and user experiences where established practices may not yet exist.
  • Co-design features with a product designer or take ownership of the full feature lifecycle.
  • Shape information architecture, user flows, copy, and error states as part of implementation.
  • Validate that features solve real user problems and are discoverable and easy to use without guidance.
  • Refine interface details such as spacing, loading states, and microcopy, and communicate decisions and trade-offs with the team.

WHAT WE'RE LOOKING FOR

  • At least 3 years of experience building and shipping production full-stack features end-to-end.
  • Hands-on experience with React and TypeScript, as well as server-side logic, APIs, and data modeling.
  • Experience owning complete features and their user experience, including information architecture, user flows, copy, and error states.
  • A user-focused approach, strong attention to detail, and clear communication skills.
  • Experience collaborating with product designers and building AI or machine learning features in production.
  • Familiarity with technologies such as PostgreSQL, tRPC, Kubernetes, Docker, or Electron is relevant.

COMPENSATION & BENEFITS

Annual base salary: €60,000 to €90,000. Visa sponsorship is not available.

LOCATION

Hybrid, based in Munich, Bavaria, Germany.

Source: Clera careers (Ashby)

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