Most Loved Workplace® Certified JobSr. Staff, Technical Program Management
Most Loved Workplace® Certified JobAbout the Role
At Databricks, a Most Loved Workplace® certified employer in the Technology space, Democratizing data and AI for every organization worldwide.
<h2><sup>GAQ327R224</sup></h2>
<h2><strong>About Databricks</strong></h2>
<p>At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, and customer obsessed, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.</p>
<h2><strong>The Role</strong></h2>
<p>As the enterprise software landscape shifts from standard software-as-a-service to autonomous intelligence, Databricks is leading the charge by fundamentally transforming how an AI company runs itself. We are seeking a Sr. Staff Technical Program Manager (L7) to lead a high-impact internal incubator within our Corporate Engineering organization. Operating as a strategic, hands-on technical leader and a manager of a lean team of 3 to 4 TPMs , you will bridge the gap between internal infrastructure and cutting-edge product engineering. Your primary mission is to build Databricks' first-party agentic application platform designed to architect, deploy, and scale internal AI tools and autonomous digital agents. By driving this mission, you will eliminate corporate reliance on third-party vendors and vendor software, replacing legacy SaaS with native, highly scalable solutions built directly on top of the Databricks platform.</p>
<p>In this role, you will act as a premier thought leader redefining the Software Development Life Cycle (SDLC) through the lens of artificial intelligence. You will partner directly with our CIO, Corporate Engineering VPs, R&amp;D Operations, and cross-functional product teams to establish the operational connective tissue necessary to move sophisticated tools from initial concept to full Go-To-Market (GTM) readiness. This is not an administrative management role; it is an elite technical execution seat where you will architect the systems that turbocharge internal operations and unlock entirely new capabilities for thousands of Databricks employees worldwide.</p>
<h2><strong>The Impact You’ll Have</strong></h2>
<ul>
<li><strong>Drive the Agentic AI Mission:</strong> Lead the end-to-end strategy, execution, and deployment of an internal agentic platform, transitioning the enterprise from a legacy third-party RFP culture to a high-velocity, in-house building culture.</li>
<li><strong>Redefine the AI-Augmented SDLC:</strong> Serve as a thought leader to fundamentally re-engineer the software development lifecycle, working alongside PMs, TPMs, and SWEs to embed GenAI and intelligent automation into core operational workflows.</li>
<li><strong>Scale Massive Cross-Functional Initiatives:</strong> Orchestrate large-scale, highly complex programs across multiple business units, including sophisticated corporate security-hardening programs and enterprise-wide platform migrations.</li>
<li><strong>Deliver Measurable Operational Leverage:</strong> Own business and technical outcomes by establishing rigorous metrics, managing observability, and evaluating system ROI to continuously improve platform adoption, employee NPS, and organizational value.</li>
<li><strong>Empower and Manage an Elite Team:</strong> Provide high-impact technical mentorship and leadership to a team of 3–4 TPMs, scaling their technical execution and championing distributed systems excellence.</li>
</ul>
<h2><strong>What We're Looking For</strong></h2>
<h3><strong>Minimum Qualifications</strong></h3>
<ul>
<li><strong>10+ years of technical program management experience</strong> leading highly complex, company-wide technical transformations within hyper-growth SaaS, cloud infrastructure, or Tier-1 technology environments.</li>
<li><strong>Proven people management experience</strong> overseeing lean teams of high-performing TPMs while remaining deeply technical and maintaining a "hands-on leader" archetype.</li>
<li><strong>Deep architectural and systems fluency</strong>, with a strong technical background and the ability to comfortably navigate complex engineering discussions involving distributed systems, large-scale data infrastructure, and environments like Scala.</li>
<li><strong>Demonstrated experience in structural change management</strong>, specifically driving a cultural shift from software procurement (RFPs) to native product building, engineering design, and fit-gap analysis.</li>
<li><strong>Exceptional executive presence and communication skills</strong>, with a track record of driving clarity out of extreme ambiguity and aligning VP- and C-level stakeholders on engineering trade-offs.</li>
<li><strong>Data-driven analytical mindset</strong> with an ability to leverage data analytics (SQL, Python, or data notebooks) to map system boundaries, quantify performance metrics, and establish program KPIs.</li>
<li><strong>Bachelor’s degree</strong> in Computer Science, Engineering, or a related technical discipline.</li>
</ul>
<h3><strong>Preferred Qualifications</strong></h3>
<ul>
<li><strong>Direct experience deploying GenAI, Large Language Models (LLMs), or autonomous agent-based capabilities</strong> inside enterprise platforms or customer-facing production workflows.</li>
<li><strong>Deep familiarity with the Databricks ecosystem</strong> (Lakehouse architecture, Unity Catalog, Mosaic AI, Delta Lake) or equivalent large-scale data and AI platforms.</li>
<li><strong>Experience guiding products through a full incubation lifecycle</strong>, successfully transitioning internal IT enterprise tooling into highly reliable, commercialized software assets ready for market.</li>
</ul>
<p>&nbsp;</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>&nbsp;</p>
<p><strong>Pay Range Transparency</strong></p>
<p><span style="font-weight: 400; font-size: 14px;">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.&nbsp; 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. For more information regarding which range your location is in visit our page <a href="https://www.Databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf">here</a>.<br></span></p>
<p>&nbsp;</p></div><div class="title">Zone 1 Pay Range</div><div class="pay-range"><span>$222,500</span><span class="divider">&mdash;</span><span>$305,900 USD</span></div></div></div><div class="content-conclusion"><p><strong>About Databricks</strong></p>
<p><span style="font-family: arial, sans-serif;">Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&amp;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 <a href="https://www.linkedin.com/company/Databricks">LinkedIn</a>, <a href="https://x.com/Databricks">X</a>, <a href="https://www.youtube.com/@Databricks">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en">Instagram</a>.<br><br><strong>Benefits<br><br></strong></span>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 <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing">here</a>.<br><br></p>
<p><strong>Our Commitment to Diversity and Inclusion</strong></p>
<p>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.</p>
<p><strong>Compliance</strong></p>
<p><strong><span style="font-weight: 400;">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.</span></strong></p></div>
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Why This Is a Most Loved Workplace® Certified Job
Systemic Collaboration
As Databricks continues our rapid growth, we strive to maintain a culture as open and transparent as it was in Databricks’s early days. Making sure employees have regular access to our CEO and co-founders to hear directly about our vision and priorities helps our employees forge a connection between Databricks priorities and their daily work.
Positive Vision for the Future
Databricks’ culture principles are derived from an internal study of the behaviors that have led to high impact work at Databricks. These values have a direct impact on company culture and play a large part in connecting teams across the organization. We believe in being customer-obsessed, truth-seeking, operating from first principles, having a bias for action, and putting Databricks first. Our co-founders are fully involved in day-to-day operations, including business and technical reviews, working alongside our team members to ensure that we are always aligned with our values.
Alignment of Values
Databricks’ CEO and Co-founder, Ali Ghodsi leads by example with a focus on truth-seeking and first principles thinking, two of Databricks’ core values that stay true to Databricks’s origins in academia. He champions the importance of data and reason to question biases and inform decisions. Ali remains hands-on with research and development and hosts company-wide weekly all hands, with a CEO “ask me anytime” session at the beginning of every agenda. His transparency and accessibility are core to the open and collaborative culture of Databricks.
Respect
At Databricks, we cultivate an environment where all employees can bring their unique selves and are empowered to do the best work of their careers. To ensure all voices are heard and ideas are valued, we conduct annual culture and pulse surveys and host all-hands Q&As to collect feedback from all employees. We then report back to Databricks on the specific changes implemented from the feedback collected to ensure employees feel heard and that their feedback is valued. In addition, we invest in our seven Employee Resource Groups (ERGs) that offer support and employee engagement events for individuals from underrepresented backgrounds and allies.
Killer Outcomes
Databricks prioritizes offering an exceptional employee experience by investing in tools, workspaces, and community-building. Our collaboration-first, hybrid model offers flexibility with in-person touchpoints like our annual employee kickoff, weekly CEO all-hands with happy hours, and monthly team building budgets. We are especially focused on maintaining a culture of transparency, honesty, and trust, with leaders actively engaging across channels like Slack and all hands while also championing inclusion efforts through ERG sponsorship. These initiatives help our team feel connected, valued, and empowered to do their best work.
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