Cockroach Labs-posted 4 months ago
Mid Level
Hybrid • New York City, NY
501-1,000 employees
Administrative and Support Services

We're launching a fast-moving engineering team focused on applying AI to one of the most complex and underserved challenges in infrastructure: database migrations. Migrations today are slow, manual, and risky-especially when they involve legacy stored procedures and deeply embedded business logic. Our goal is to radically simplify this journey by building intelligent tools that can translate, evaluate, and automate the hardest parts of moving data across systems. As a founding member, you'll help prototype and launch cutting-edge systems such as intelligent AI agents to modernize legacy SQL and an AI-powered migration strategist that intelligently scans source schemas and real-world workload patterns to produce actionable, tailored migration plans. This is a unique opportunity to apply AI/ML to deep, real-world problems and to operate like a startup within a product-driven company.

  • Validate ideas through experimentation: Design and run focused experiments to explore how today's AI tools can help us deliver real, incremental value in the migrations space.
  • Test and iterate with AI approaches: Explore APIs like OpenAI and Anthropic, refine prompts, and tune context windows to optimize how LLMs perform on procedural translation and analysis tasks.
  • Partner with domain experts: Collaborate closely with our migrations technical field community to deeply understand the pain points users face throughout the migration journey.
  • Prototype fast, learn faster: Build proof-of-concept tools and agents from your findings, then use data and feedback to shape what comes next.
  • Track progress and define success: Establish and monitor clear evaluation criteria (like LLM accuracy or usability metrics) to guide the validation process.
  • Build for scale: When experiments show promise, turn them into scalable systems using Go, Python, and modern cloud infrastructure.
  • Explore advanced patterns: When the time is right, dive into more sophisticated approaches like multi-step reasoning, agentic workflows, or integrating with our internal control planes.
  • Experimental mindset: You're energized by ambiguous problems, rapid prototyping, and discovering solutions through data-driven experimentation.
  • AI/ML technical foundation: Experience with LLMs, prompt engineering, and model evaluation through professional work, significant side projects, or deep technical exploration.
  • Strong programming skills: Proficiency in Go, Python or similar languages, with the ability to quickly learn new technologies and APIs.
  • Greenfield experience: Background building new products, prototypes, or research projects where the solution path wasn't predefined.
  • Collaborative problem-solving: Experience working directly with internal stakeholders, gathering requirements, and iterating based on user feedback.
  • Technical communication: Ability to explain complex experimental results and technical concepts to diverse audiences.
  • Experience level: Ideally 7+ years of software engineering experience, with hands-on work in AI/ML.
  • Stock Options
  • Medical Insurance
  • Vision Insurance
  • Dental Insurance
  • Life and Disability Insurance
  • Professional Development Funds
  • Flexible Time Off
  • Paid Holidays
  • Paid Sick Days
  • Paid Parental Leave
  • Retirement Benefits
  • Mental Wellbeing Benefits
  • And more!
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service