Founding Product Engineer

Clera

Munich, Germany

On-siteCareer-pivot friendly

Who this role is best for

Strong fit for software engineers with a background in data-intensive systems who can independently deliver product features and engage in technical decision-making.

Best fit for

Software engineers with 2+ years in early-stage startups and full-stack capabilities
— “At least 2 years of software engineering experience delivering scalable web applications in an early-stage startup environment.”
Individuals who have shaped product technology stacks through technical decisions
— “Contribute to technical decisions and shape the product's core technology stack.”

Things to consider

The role requires a significant on-site commitment in Munich despite hybrid flexibility
— “Hybrid, based in Munich, Germany. The role involves working on-site the majority of the week”
Visa sponsorship is not available, which may limit international candidates
— “Visa sponsorship is not available.”

How to stand out

Highlight experience with React, PostgreSQL, and Python in your resume and interviews
— “Experience with PostgreSQL, React, and Python.”
Emphasize your ability to build user interfaces for complex decision-support workflows
— “Build performant backend services for a data-intensive application and intuitive frontend interfaces for complex decision-support workflows.”
Showcase projects involving time-series forecasting or optimization algorithms
— “Develop time-series forecasting models for power consumption and renewable generation.”

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

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

What success looks like

product features from design through deployment
backend services for data-intensive applications
time-series forecasting models

Typical background

software engineeringdata science

Skills & requirements

Required

Backend DevelopmentTime-series ForecastingLinear OptimizationWeb ApplicationsPostgreSQLReactPython

Preferred

TypeScriptFastapiSupabase

Stack & domain

PostgreSQLReactPythonTypeScriptFastapiSupabaseTime-series ForecastingLinear OptimizationEnergy Markets

About the role

Original posting from Clera via Ashby

ABOUT THE ROLE
Join an early-stage energy technology team building an enterprise-grade platform for energy procurement and cost optimization. You will work closely with customers and company leadership to turn complex market data and energy challenges into useful, scalable product features.
WHAT YOU'LL DO
Own product features from design through deployment, collaborating directly with customers to clarify requirements.
Build performant backend services for a data-intensive application and intuitive frontend interfaces for complex decision-support workflows.
Develop time-series forecasting models for power consumption and renewable generation.
Create linear optimization algorithms that help customers reduce energy costs.
Contribute to technical decisions and shape the product's core technology stack.
WHAT WE'RE LOOKING FOR
At least 2 years of software engineering experience delivering scalable web applications in an early-stage startup environment.
A track record of independently delivering complete product features in collaboration with customers.
Strong fundamentals and experience building robust, maintainable web applications across frontend and backend systems.
Experience building user interfaces for complex decision-support products and backend services for data-intensive applications.
Experience with PostgreSQL, React, and Python. Familiarity with TypeScript, FastAPI, or Supabase is useful.
Experience or strong interest in time-series forecasting, linear optimization, and energy markets is valued.
COMPENSATION & BENEFITS
Base salary: €85,000 to €140,000 annually. Visa sponsorship is not available.
LOCATION
Hybrid, based in Munich, Germany. The role involves working on-site the majority of the week, with occasional remote flexibility.

Source: Clera careers (Ashby)