Mountain View, California, United States · On-site
$172k–$258k/yr
Senior+$32B raised
Location: San Francisco or Mountain View, California GAQ327R225 Databricks is building an Agentic Enterprise applications Platform a scalable, governed AI application platform built on Databricks that enables any interna…
Mountain View, California, United States · On-site
$223k–$306k/yr
Senior+$32B raised
GAQ327R224 About Databricks 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 medi…
Skills: Technical program management, People management, Distributed systems, Data infrastructure, Scala
Mountain View, California, United States · On-site
$145k–$199k/yr
Senior$32B raised
Sr Product Manager, Employee Experience Location: San Francisco, CA or Mountain View, CA GAQ426R322 About Databricks At Databricks, our mission is to help data teams solve the world’s toughest problems and that starts wi…
Senior Engineering Manager for Self-Serve (Learning)
Mountain View, California, United States · On-site
$222k–$300k/yr
Senior+$32B raised
RDQ426R220 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 breakthrough…
shift supervisor - Store# 18889, SAN ANTONIO & EL CAMINO - MT VIEW
Mountain View, California, United States · On-site
$25/hr–$29/hr
Entry level$2.6B raised
Crafting the world’s finest coffee, one meaningful moment at a time We believe in creating a warm and welcoming space where every cup of coffee sparks connection. Every shift is a chance to brighten someone’s day. As a s…
Skills: Leadership, Customer service, Team management, Cash handling, Food preparation
shift supervisor - Store# 20234, EL CAMINO & GRANT
Mountain View, California, United States · On-site
$25/hr–$29/hr
Entry level$2.6B raised
Crafting the world’s finest coffee, one meaningful moment at a time We believe in creating a warm and welcoming space where every cup of coffee sparks connection. Every shift is a chance to brighten someone’s day. As a s…
Skills: Leadership, Customer service, Team coordination, Cash handling, Food preparation
shift supervisor - Store# 20234, EL CAMINO & GRANT
Mountain View, California, United States · On-site
$25/hr–$29/hr
Entry level$2.6B raised
Crafting the world’s finest coffee, one meaningful moment at a time We believe in creating a warm and welcoming space where every cup of coffee sparks connection. Every shift is a chance to brighten someone’s day. As a s…
Skills: Leadership, Customer service, Team coordination, Cash handling, Food preparation
Mountain View, California, United States · On-site
$132k–$179k/yr
Senior$684M raised
About us: Aeva’s mission is to bring the next wave of perception to a broad range of applications from automated driving to industrial robotics, consumer electronics, consumer health, security, and beyond. Aeva is transf…
Mountain View, California, United States · On-site
$76k–$80k/yr
Mid level$2.5B raised
We are hiring immediately for a Sous Chef. Location: Mountain View, CA Schedule: Open availability, including weekends Pay Range: $76,240 - $80,000 / year We Make Applying Easy! Want to apply to this job via text messagi…
Mountain View, California, United States · On-site
$120k–$140k/yr
Senior+$2.5B raised
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About Oso Semiconductor Oso Semiconductor is an early-stage fabless semiconductor company developing next-generation mmWave beamforming technology. Founded by UC Berkeley PhDs, our proprietary RFIC architecture delivers …
Job Description: The Business Operations Manager (BOM) will be responsible for working closely with the Program Manager (PM) and Senior Business Operations Manager in the coordination and tracking of all activities relat…
Skills: Program management, Contract operations, Project planning, Budget tracking, Procurement
Mountain View, California, United States · On-site
$135k–$155k/yr
Senior+$2.5B raised
Position Title: Portfolio Director of Hospitality Operations Salary: 135,000-155,000 Other Forms of Compensation: Our Passion is Food! At Bon Appetit Management Company we are committed to two things, great food and outs…
Mountain View, California, United States · On-site
$280k–$380k/yr
Senior$50M raised
🎨 OpusClip is the world's No.1 AI video agent, built for authenticity on social media. We envision a world where everyone can authentically share their story through video, with no expertise needed. Within just 18 month…
Skills: AI/ML Model Development, Model Post-training, Fine-tuning, Preference Optimization, Inference Optimization
Fault Detection & Diagnostics (FDD) Program Manager
Mountain View, California, United States · On-site
$145k–$191k/yr
Senior+
JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring …
Skills: Fault Detection and Diagnostics, Program Management, Smart Building Technology, Building Automation Systems, Portfolio Management
At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminati…
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Mountain View, California, United States · On-site
$163k–$236k/yr
Senior$26M raised
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Principal Product Marketing Manager (Glean Intelligence)
Mountain View, California, United States · Hybrid
$224k–$258k/yr
Senior+$768M raised
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Sear…
Skills: Product Marketing, B2B SaaS, AI Infrastructure, Go-to-market strategy, LLMs
Mountain View, California, United States · On-site
$207k–$300k/yr
Senior$26M raised
Minimum qualifications: Bachelor’s degree, or equivalent practical experience. 8 years of experience in software development. 3 years of experience in a technical leadership role. 2 years of experience in a people manage…
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$172k–$258k/yr
Full-time
Annual Performance Bonus, Equity
Posted 10d ago
~40 hrs/week
Responsibilities
Lead the product strategy and roadmap for an Agentic Enterprise applications Platform, focusing on the foundational layer including runtime, connectors, and intelligence layers. Drive the development of a self-service developer experience to reduce the time-to-production for agentic applications from months to weeks.
Requirements
Requires 8+ years of product management experience, with at least 3 years focused on internal platforms or developer experience. Must possess a strong technical foundation in AI/ML, agent frameworks, and the ability to lead complex cross-functional initiatives.
Full job description
Location: San Francisco or Mountain View, California
GAQ327R225
Databricks is building an Agentic Enterprise applications Platform a scalable, governed AI application platform built on Databricks that enables any internal team (GTM, Finance, HR, Legal, Product) to build production grade agentic applications in weeks, not months. The platform provides a managed agent runtime, standardized MCP connectors to enterprise systems of record, a shared UI component library with a design system, an intelligence data/context layer and a gold-standard promotion pipeline from prototype to production.
As a Staff Product Manager, you will own the product strategy, roadmap, and execution for the Agentic Platform the foundational layer that every domain workspace depends on. You will work across agent runtime, MCP connectors, intelligence layer, evaluation framework, developer experience, and governance to deliver a platform that reduces time-to-production from months to weeks while maintaining enterprise grade quality, security, and reliability. You will partner closely with Application Engineering, the CIO organization, and domain teams across GTM, HR, Finance, and Product to ensure the platform serves real needs and scales with the organization.
The impact you will have:
Own the Agentic Platform strategy and roadmap. Define what ships, in what order, and why. Translate organizational outcomes into concrete platform capabilities with measurable success criteria.
Define and drive the agent and runtime. Establish the managed agent runtime supporting multi step orchestration with durable execution, model gateway abstraction across all providers, governed tool invocation, and configurable per-agent guardrails (cost ceilings, timeouts, blast radius limits).
Build the MCP connector ecosystem. Own the strategy for standardized, bidirectional connectors various systems of record. Drive on behalf of identity propagation, idempotency, dry-run/preview mode, and a connector SDK that lets domain teams onboard new systems without platform changes.
Establish the intelligence layer. Define the three layer data architecture: knowledge graph (curated domain knowledge), context graph (live entity state from systems of record), and temporal memory (session, user preferences, and episodic history). Ensure unified retrieval across vector, structured, and graph sources with source traceability on every context element.
Ship the evaluation and quality framework. Own the AI-judge evaluation pipeline: offline eval with golden datasets, online LLM-as-judge scoring, domain-specific judges (Finance, HR, Legal, Sales), and mandatory evaluation gates in CI/CD. No agent reaches production without passing quality and safety thresholds.
Design the developer experience. Make the platform self-service by construction. Domain teams provision agent projects, promote across environments, and access connectors without platform-team tickets. SDK, CLI, sandbox environments, agent templates, and documentation — the paved road must be faster than building bespoke. Target: idea to production in <4 weeks for a standard agent.
Define the federation and adoption model. Establish the three tiers of adoption (platform built, domain built on platform, citizen developer edge apps) with governance checkpoints at each gate. Drive the gold-standard promotion pipeline from edge prototype to production hardened service.
What we look for:
8+ years of product management experience, with at least 3 years on internal platform, infrastructure, or developer-experience products.
Deep experience building platforms that other teams build on you understand the difference between a platform and an application, and you have opinions about API design, developer ergonomics, and self service.
Demonstrated experience with AI/ML platforms, agent frameworks, LLM-powered applications, or agentic systems. You know what an agent runtime is, what RAG means in practice, and why evaluation is the hardest part.
Strong technical foundation you can read architecture diagrams, discuss trade offs with engineers (e.g., sync vs. async, checkpointing strategies, context window management), and make informed prioritization decisions on deeply technical work.
Experience defining and shipping developer experiences: SDKs, CLIs, templates, documentation, and self service workflows. You measure success by adoption and developer NPS, not feature count.
Proven ability to lead cross-functional initiatives across 4+ teams without direct authority. You influence through clarity, conviction, and stakeholder alignment.
Strong written communication strategy documents, PRDs, and executive briefs that drive alignment at VP and CIO level.
Comfort with ambiguity, you will define the roadmap for capabilities that don't exist yet, in a space that is evolving weekly.
Nice to have:
Experience with Databricks, Lakehouse architecture, Unity Catalog, MLflow, or Delta Lake.
Familiarity with LangGraph, LangChain, or similar agent orchestration frameworks.
Familiarity with MCP (Model Context Protocol), A2A (Agent-to-Agent), or AG-UI protocols.
Experience building AI evaluation frameworks LLM-as-judge, red-teaming, or automated quality scoring.
Experience with design systems, component libraries, or frontend platform work.
Background in enterprise SaaS platform consolidation or migration.
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. For more information regarding which range your location is in visit our page here.
Zone 1 Pay Range
$172,200—$236,850 USD
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. For more information regarding which range your location is in visit our page here.
Local Pay Range
$172,200—$258,400 USD
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.
Related keywords
Agentic AIDatabricksMCPModel Context ProtocolLLMRAGKnowledge GraphContext GraphTemporal MemoryCI/CDSDKCLILakehouseUnity CatalogMLflowDelta Lake
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks 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 Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog.
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Databricks applicants
Please apply through our official Careers page at databricks.com/company/careers.
All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).
Offices: 160 Spear Street, 13th Floor, San Francisco, CA 94105, US · Fora 22 Berners Street, London, England W1T 3LP, GB · Barbara Strozzilaan 350, 2nd floor, Amsterdam, HN 1083, NL · 11 W 42nd St, 30th Floor, New York, NY 10036, US · 120 Adelaide St W, Toronto, Ontario M5H, CA
How much do Management & Leadership jobs in Mountain View, CA pay?
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