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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Staff, Technical Program Management - **Company:** Databricks - **Location:** Mountain View, CA, United States - **Experience:** Expert - **Salary:** $222,500.0 - $305,900.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data, Software as a Service, Cloud Computing, Data Architecture, Distributed Systems, Python (Programming Language), Systems Development Life Cycle, Software Engineering, SQL Databases, Large Language Models, Data Lakes, AI Platforms, Information Technology, Data Analytics, Databricks - **Published:** August 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=535426a7ed58fd80 ## About the Role * 10+ years of technical program management experience leading highly complex, company-wide technical transformations within hyper-growth SaaS, cloud infrastructure, or Tier-1 technology environments. * Proven people management experience overseeing lean teams of high-performing TPMs while remaining deeply technical and maintaining a "hands-on leader" archetype. * Deep architectural and systems fluency, 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. * Demonstrated experience in structural change management, specifically driving a cultural shift from software procurement (RFPs) to native product building, engineering design, and fit-gap analysis. * Exceptional executive presence and communication skills, with a track record of driving clarity out of extreme ambiguity and aligning VP- and C-level stakeholders on engineering trade-offs. * Data-driven analytical mindset with an ability to leverage data analytics (SQL, Python, or data notebooks) to map system boundaries, quantify performance metrics, and establish program KPIs. * Bachelor's degree in Computer Science, Engineering, or a related technical discipline., * Direct experience deploying GenAI, Large Language Models (LLMs), or autonomous agent-based capabilities inside enterprise platforms or customer-facing production workflows. * Deep familiarity with the Databricks ecosystem (Lakehouse architecture, Unity Catalog, Mosaic AI, Delta Lake) or equivalent large-scale data and AI platforms. * Experience guiding products through a full incubation lifecycle, successfully transitioning internal IT enterprise tooling into highly reliable, commercialized software assets ready for market. Pay Range Transparency ## Description * Drive the Agentic AI Mission: 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. * Redefine the AI-Augmented SDLC: 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. * Scale Massive Cross-Functional Initiatives: Orchestrate large-scale, highly complex programs across multiple business units, including sophisticated corporate security-hardening programs and enterprise-wide platform migrations. * Deliver Measurable Operational Leverage: 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. * Empower and Manage an Elite Team: Provide high-impact technical mentorship and leadership to a team of 3-4 TPMs, scaling their technical execution and championing distributed systems excellence. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post](https://www.wearedevelopers.com/videos/2018-enabling-intelligent-logistics-automation-home-grown-industrial-iot-platform-at-austrian-post) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)