The impact you will have
Lead and grow the team: Manage a team of senior engineers across three closely connected areas (the deployment engine and open-source CLI, the in-workspace authoring and deployment experience, and deployment history and metadata), working with strong tech leads. Hire, coach and promote, and grow engineers into tech leads.
Make agentic development the default path: Shape how developers and AI agents author, validate and deploy projects, both inside the workspace and from the developer's own coding agent. Design the tools, skills and guardrails so agents get the same safety and auditability as humans.
Own the strategy and roadmap: Partner with Product and Design to set a multi-quarter roadmap for declarative deployment: agentic development, governed deployments and deployment history, enterprise CI/CD, and new resource coverage. Make the trade-offs explicit when the demand is larger than the team.
Raise the bar on execution and operational excellence: Run a predictable delivery process for a fast-moving, open-source product with frequent releases. Own reliability, on-call health, incident response and the quality bar for a tool customers depend on to ship to production.
Treat backward compatibility as a product feature: Lead engine and configuration migrations without forcing customers through a flag day, and communicate change clearly to customers, the community and field teams.
Lead across the platform: Drive alignment with the many platform teams whose resources and services the framework deploys, and with our sibling teams in Developer Ecosystem (SDKs, CLI, IaC provider, IDE). Make the whole toolchain feel like one product.
What we look for
3+ years managing software engineering teams, and 8+ years of software engineering experience overall.
A track record of building and shipping developer tools or platforms used by many external developers or internal teams, such as infrastructure-as-code, deployment or CI/CD systems, CLIs, SDKs, or internal developer platforms.
A deep understanding of declarative systems and deployment workflows: plan/apply, state management, drift and reconciliation, environment promotion, GitOps.
Enough technical depth to engage on architecture and trade-offs with senior and staff engineers, and to hold a high-quality bar for public, versioned interfaces.
Experience leading teams through ambiguity, with competing priorities from customers, partners and platform dependencies, and making clear calls.
Strong product sense and a customer-first mindset. You enjoy talking to developers, reading their issues, and turning feedback into roadmap.
Excellent written and verbal communication, including with executives, partner teams and an external developer community.
Stand-out experience
Built or led teams on infrastructure-as-code or deployment platforms, e.g. Terraform, Pulumi, AWS CDK / CloudFormation, Kubernetes controllers, Argo CD / Flux / Helm, or Vercel / Netlify-style deploy platforms.
Managed an open-source developer tool with an active community and a frequent release cadence.
Shipped developer workflows for AI coding agents (CLI-first tooling, agent skills, MCP), or AI-assisted authoring.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
