Agentic Developers Jobs in California (NOW HIRING)

Mountain View, California

The Web Engineering team at Databricks builds and owns the public‑facing web experiences that represent Databricks to the world, across databricks.com, the blog, landing pages, hubs, microsites, and event properties. We are rebuilding the platform from the ground up, AI native from the start, and pioneering an agentic SDLC as our operating model.

As Staff Software Engineer, Marketing Agents on the Web Engineering team, you will own the architecture and delivery of agents that transform how Databricks creates, publishes, and ships for the web, shifting content operations from a linear, engineering‑dependent process to an orchestrated, continuously improving system. You will define how LLM‑powered agents participate reliably across marketing content workflows, set the engineering standards the team builds on, and ensure agent output is robust, observable, and production‑ready at scale.

• Own the architecture and delivery of agentic workflows that enable marketing to self‑serve content creation and publishing across blogs, landing pages, microsites, and social.
• Partner with the Web Platform Staff Engineer on CMS architecture to ensure the content model supports agent read and write workflows and that agent‑generated content is structured for AI‑driven discovery at production scale.
• Build and own the agent reliability system for this domain: define output quality criteria per workflow, implement evaluation suites and behavioral regression testing, and build feedback loops that improve agent output over time based on what marketers approve, edit, and reject.
• Architect human‑in‑the‑loop review as a system property across the full publishing pipeline: proposal and commit separation, diff‑based review UI, approval routing, notification system, and audit logging that govern when agents publish autonomously and when human judgment is required.
• Encode brand, legal, and compliance constraints as enforceable guardrails within agent workflows, ensuring agents operate within defined boundaries without requiring human intervention on every decision.
• Partner with the Web Products Staff Engineer to ensure agent‑generated content meets surface quality and brand standards across databricks.com.
• Mentor and grow the Senior Engineer on the team, setting the standard for production‑grade agentic engineering at Databricks.

• 12+ years of software engineering experience with a clear track record of technical ownership on production systems.
• Hands‑on experience building and operating LLM‑powered systems in production, and a strong instinct for designing quality and evaluation frameworks for probabilistic or generative outputs.
• Strong understanding of human‑in‑the‑loop system design: approval workflows, review interfaces, audit logging, and guardrail implementation.
• Deep understanding of how agents interact with content systems, publishing pipelines, and web infrastructure including CMS, deployment pipelines, and edge delivery.
• Ability to work directly with non‑engineering stakeholders to translate workflow requirements into agent architecture.
• Experience mentoring engineers and elevating technical execution across a team.

Zone 1 Pay Range: $198,200 — $272,600 USD (based on location and experience). Compensation may include eligibility for annual performance bonus, equity, and benefits.

Databricks offers comprehensive benefits and perks that include health, dental, vision, retirement plans, paid time off, and more. For specific details on the benefits offered in your region, please refer to the benefits page.

Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. We take 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.