Responsibilities
- Onboard customers to our suite of models, providing hands-on guidance on prompting strategies, inference optimization, evaluation frameworks, and finetuning approaches that ensure best-in-class production integrations
- Work alongside our Sales and BD teams on the most complex and high-stakes customer projects—the ones where deployment success has material business impact
- Act as BFL's central internal hub, seamlessly connecting go-to-market, engineering, and applied research teams so customer insights flow in both directions
- Create reusable technical enablement resources that amplify our sales team's effectiveness and technical fluency—documentation, demos, integration guides that scale beyond individual conversations
- Translate customer technical feedback into actionable product insights, then collaborates with engineering and research teams to actually implement required updates and new features
Requirements
- Deep understanding of generative AI and hands-on experience serving generative deep learning models in production settings
- A track record of working directly with customers, iterating on solutions, and providing tailored support that actually moves the needle
- Proficiency in Python and intuitive understanding of API integrations—enough to implement basic functionality and help customers build prototypes and demos
- Experience explaining sophisticated technical concepts to both technical and business audiences without losing either group
- Excellent communication skills honed through collaborating with non-technical stakeholders, with the ability to adapt your message depending on who's in the room
Nice-to-Haves
- Prior experience finetuning diffusion models and working with customization tools like ComfyUI
- Proven track record in solutions engineering, particularly on large and complex enterprise deals
- Can architect solutions in complex enterprise environments where standard approaches don't work
- Contribute to open-source projects in the diffusion model space and understand the community
- Have deployed models on cloud platforms using state-of-the-art serving infrastructure
Compensation
Base Annual Salary: $180,000 - $300,000 USD