Product Research Lead

Freiburg (Germany)CompetitiveOnsite0 applicants

About this role

About Black Forest Labs

We're the team behind Latent Diffusion, Stable Diffusion, and FLUX — foundational technologies that changed how the world creates images and videos. Our FLUX models are among the most advanced in the world, and we're just getting started.

Headquartered in Freiburg, Germany with a growing presence in San Francisco, we're scaling fast while staying true to what makes us different: research excellence, open science, and building technology that expands human creativity.

Why This Role

Our model research moves fast. What's missing is someone accountable for one question: what should our models get better at next, and how will we know when they have?

You’ll lead Product Research, the team between our researchers and the market. You’ll take raw signal from evals, leaderboards, customers and usage data, turn it into a clear measure of where our models stand, and decide which gaps matter most. Your squad of Applied Researchers runs the evals and closes those gaps through post-training. You’ll work closely with Research, Backend, Product and GTM.

What You'll Work On

Evaluations. Own the product-facing eval taxonomy, eval strategy, and eval runs.

Priorities. Maintain a ranked list of what our models should get better at, built from evals, leaderboards, customer feedback and usage data, and make sure it shapes every research cycle.

Applied post-training. Set the priorities for the squad's Applied Researchers, who finetune and run RL to improve our core models and to build variants for specific customers and

Responsibilities

  • Evaluations. Own the product-facing eval taxonomy, eval strategy, and eval runs.
  • Priorities. Maintain a ranked list of what our models should get better at, built from evals, leaderboards, customer feedback and usage data, and make sure it shapes every research cycle.

Requirements

  • Applied post-training. Set the priorities for the squad's Applied Researchers, who finetune and run RL to improve our core models and to build variants for specific customers and

EU Requirements

Job Details

Posted15 October 2026
Closes14 November 2026
Work ModeOnsite

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