Solutions Engineer

Black Forest Labs•San Francisco, CA
•$180,000 - $285,000•Hybrid

About The Position

Black Forest Labs is seeking a Solutions Engineer to support adoption of its models among a growing customer base and help customers address complex technical challenges. As part of the go-to-market team, the role supports successful deployment of BFL models from pre-sales through post-implementation. The Solutions Engineer manages customer relationships involving multiple stakeholders and helps translate the company’s research into production settings. The role is based in San Francisco. The team works in a distributed environment with offices, and employees in this role are expected to work from the office at least two days per week or one full week every other week. The stated base annual salary is US $180,000–$285,000, plus equity.

Requirements

  • Passion for AI, technology, and BFL models.
  • Enjoy working directly with customers, iterating on solutions, and providing tailored support.
  • Strong technical background to help customers architect integrations between BFL solutions and their existing systems.
  • Strong Python coding skills and a deep understanding of software development, software architecture, and common integration patterns.
  • Excellent communication skills, including the ability to adapt messaging to different audiences and explain complex technical concepts to technical and non-technical audiences.

Nice To Haves

  • Contributions to open-source projects, particularly in diffusion models.
  • Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager.

Responsibilities

  • Collaborate strategically with the Sales team to strengthen the technical aspects of the sales process.
  • Onboard customers to BFL’s models and guide them on prompting, evaluation, fine-tuning, and production integration with back-end and front-end interfaces.
  • Create technical demonstrations that communicate the product’s value proposition.
  • Guide and support customers in deploying models into production use cases with significant business impact.
  • Collaborate with the business development team, researchers, and engineers on complex customer projects.
  • Contribute to open-source codebases for tasks such as inference and fine-tuning.
  • Participate in pre-sales calls to understand prospective clients’ needs, challenges, and aspirations.
  • Provide technical guidance on BFL products and explain BFL technologies to different stakeholders.
  • Create technical enablement resources to improve the Sales team’s effectiveness and technical fluency.
  • Build self-service tools and documentation that help customers implement solutions independently.
  • Work with Applied Research to improve product and model capabilities based on customer feedback.

Benefits

  • Equity
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service