The impact you'll have:

• Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency
• Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth
• Lead by example with hands-on full-stack software development to create dynamic, user-centric experiences
• Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities
• Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers
• Drive the strategy for building end-to-end AI feature development by designing, building, and maintaining systems that are scalable, reliable, and performant.

What we look for:

• 5+ years of experience with HTML, CSS, and JavaScript
• Demonstrated product mindset with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback.
• You care that AI features feel intuitive, trustworthy, and helpful, not just bolted on to an existing app
• High ownership and bias for action in 0→1 environments: you are comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption.
• Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives.
• Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember)
• 5+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go)
• Proven experience building and shipping end-to-end generative AI products
• Deep familiarity with LLMs and generative AI, including hands-on experience with techniques like retrieval-augmented generation (RAG), prompt design, evaluation, and monitoring AI quality and safety in production.

Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

Local Pay Range $166,000-$225,000 USD

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Responsibilities

• Establish and lead the AI Quality program from inception, defining business-aligned quality standards, user experience and target outcome metrics across AI-powered self-service capabilities.
• Accountable for ongoing quality performance across fan-facing AI experiences, ensuring measurable improvements in accuracy, containment, risk mitigation, and fan-perceived effort and satisfaction.
• Define and enforce AI launch readiness criteria, working with partner teams on launch criteria, validating risk scenarios, and certifying capabilities before release.
• Lead post-launch AI agent governance, including performance monitoring, compliance with security and privacy standards and policies, and continuous quality improvement cycles tied to measurable outcomes.
• Partner with implementation and stakeholder teams to provide input on product direction to prevent downstream quality risks.
• Evaluate cost-to-quality tradeoffs in containment strategies, ensuring impacts of optimizations are evaluated and tracked.

Required Qualifications

• 5+ years of program management experience in a related industry, with direct responsibility for quality programs or AI/ML-powered products.
• Experience defining and operationalizing measurable AI quality KPIs for large-scale, production environments.
• Experience influencing launch decisions and enforcing governance standards with technical and business partners.
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

Benefits

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more.

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