Manager, AI Engineering - Analytics
Tasks
- Build AI evals telemetry and test loops
- Build natural language data experiences
- Define AI and data technical direction
- Define AI quality metrics and measure results
- Design AI data systems
- Design multi tenant data access patterns
- Drive end to end delivery from spec to GA
- Establish eval driven development workflow
- Implement prompt tool use and structured outputs
- Lead a small team of engineers
- Partner with Product on scope and tradeoffs
- Review PRs and set engineering quality bar
- Run 1 1s and provide feedback
- Set goals and drive delivery
- Write production AI code
Perks/Benefits
Skills/Tech-stack
Agent systems | Artificial Intelligence | Data Modeling | Data Warehousing | Evals | Feedback loops | LLM | Language Processing | Machine Learning | Multi-tenant | Multi-tenant architecture | Natural Language | Natural Language Processing | Offline Benchmarking | Online Feedback Loops | Prompt engineering | Python | Regression testing | Retrieval-Augmented Generation | SQL | Semantic Modeling | Structured Output | Telemetry | Tenant architecture | Text-to-SQL | Tool use
Education
Roles
AI | AI Engineering | AI Engineering Manager | AI Software Engineer | Engineer | Engineering Manager | Lead | Manager | Software Engineer | Technical Lead
Regions
Countries
States
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