Datawizz helps companies reduce LLM costs by 85% while improving accuracy by over 20% by combining large and small models and automatically routing requests. We started in 2025 with the mission of making AI efficient, affordable and more accurate than ever before.
Datawizz sits between the application and the LLM, automatically logging requests, evaluating them on different models, and training custom SLMs for repeated tasks. Datawizz then automatically routes every request to the best model - significantly reducing costs and improving accuracy.
The RoleAs Head of Engineering, you’ll be responsible for building and leading our engineering team. You’ll work closely with the founder to define the roadmap, oversee architecture and execution, and ensure our technology scales as we grow.
You will:
Lead the engineering organization - setting technical direction, priorities, and standards
Build and mentor a world-class engineering team from the ground up
Oversee development of our ML routing engine, SLM training pipelines, model evaluation frameworks, and customer-facing platform
Establish engineering processes, best practices, and a high-performance culture
Ship code! Help design and build core systems alongside the team
This role is in-office, 5 days/week, based in San Francisco.
Leading engineering teams or organizations at startups or high-growth companies
Building and scaling complex distributed systems and developer platforms
Managing and mentoring high-performing technical talent
Shipping products quickly in fast-paced environments
Competitive salary, based on experience level (Annual compensation range: $50,000-$500,000)
Meaningful equity
Opportunity to be a founding member of a growing company
Top Skills
Datawizz San Francisco, California, USA Office
360 Pine Street, San Francisco, CA , United States, 94104
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



.png)