Full-Time

Staff Product Manager

Databricks

Databricks

10,001+ employees

Data lakehouse platform for analytics

Compensation Overview

$181.7k - $249.8k/yr

San Francisco, CA, USA

In Person

Category
Product (2)
,
Required Skills
LLM
Product Management
Data Analysis
Requirements
  • 7+ years of product management experience, with a proven track record of leading cross-functional initiatives and delivering high-impact user experiences
  • Deep understanding of developer tools, data platforms, or technical products with large surface areas
  • A strong systems mindset — comfortable designing scalable workflows, content architectures, and tooling integrations
  • Strong customer empathy and an obsession with helping users succeed
  • Familiarity with AI technologies (especially large language models) and how they can be applied to content workflows and user guidance
  • Experience working with technical and non-technical contributors in a collaborative content ecosystem
Responsibilities
  • Own the content experience end-to-end. You’ll be responsible for how users of Databricks find and engage with content — both in external documentation and within the product itself — making sure it’s helpful, intuitive, and actionable.
  • Drive strategic improvements to content tooling and workflows. You’ll define how we author, manage, and deliver content at scale, collaborating with engineering, tech writing, design, and AI teams to improve speed, consistency, and quality.
  • Build an architecture of participation. You’ll design systems and tools that enable context experts — from engineers to field teams — to contribute directly to content in ways that are sustainable and scalable.
  • Integrate AI to transform content experiences. You’ll partner with our AI platform teams to apply generative AI to the authoring, delivery, and user experience of content — reimagining everything from documentation search to intelligent assistance.
  • Define metrics that matter. You’ll track content engagement, time-to-task, support deflection, and user satisfaction — and use these signals to drive ongoing prioritization and iteration.
  • Collaborate cross-functionally. You’ll partner closely with engineering, UX, product, tech writing, developer relations, field teams, and customers to ensure the content experience supports our platform’s broad and growing user base.
Desired Qualifications
  • Experience with developer documentation, content platforms, or product onboarding is a plus.

Databricks provides a unified data and AI platform built around a lakehouse architecture that blends data lakes and data warehouses. It helps organizations ingest, store, manage, and analyze data from various sources, then apply analytics and machine learning at scale. The platform offers automated ETL, secure data sharing, and high-performance analytics, with built-in support for AI workloads and model deployment. Unlike traditional single-purpose data stores, Databricks combines data engineering, data science, and business analytics in one system, aiming to streamline data workflows and make insights readily actionable. Its goal is to enable businesses to manage data more efficiently, accelerate insight generation, and deploy AI and analytics across diverse teams through a subscription-based platform and professional services.

Company Size

10,001+

Company Stage

Debt Financing

Total Funding

$27.1B

Headquarters

San Francisco, California

Founded

2013

Simplify Jobs

Simplify's Take

What believers are saying

  • Asia-Pacific revenue surges 85% YoY in Q4, expanding to 32,000 sq ft Singapore office in 2026.
  • Acquires Antimatter and SiftD.ai to launch Lakewatch, adopted by Adobe and Dropbox.
  • Partners with UiPath and DBOS to enhance AI agent reliability and workflow orchestration.

What critics are saying

  • Snowflake Cortex AI erodes differentiation with cheaper serverless LLMs, churns customers in 6-12 months.
  • Microsoft Fabric's 5x faster queries collapse Azure customers' SQL pricing in 3-9 months.
  • Anthropic terminates Claude partnership in Q1 2026, obsoletes Lakewatch security in 12-24 months.

What makes Databricks unique

  • Databricks unifies data engineering, science, and business on Apache Spark-powered lakehouse.
  • Lakewatch delivers AI agentic SIEM using Anthropic's Claude for petabyte-scale threat detection.
  • Unity Catalog enforces unified governance across data, models, and dashboards.

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Benefits

Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
RadixArk
May 5th, 2026
Our $100M Seed to Build Open Infrastructure for Frontier AI

RadixArk announces $100 million in Seed funding at a $400 million post-money valuation.

PR Newswire
Apr 9th, 2026
Persistent launches AI-powered merchant risk solution, targets 20-40% fraud reduction

Persistent Systems has launched a Merchant Risk Management and Fraud Detection solution powered by Databricks' Data Intelligence platform. The solution uses Agentic AI to perform real-time merchant vetting during onboarding and continuous monitoring of transactions, chargebacks and third-party signals to detect fraud and compliance risks. Built on Databricks' platform, the solution triggers configurable actions when risk signals are detected, including enhanced monitoring or transaction restrictions. Persistent expects the solution to deliver a 20–40% reduction in fraud losses, 30–60% improvement in detection accuracy and 50–70% reduction in manual review effort. The solution is available now as a Databricks accelerator for banks, acquirers and payment service providers globally. Persistent is a Databricks Global Systems Integrator partner with over 900 certified professionals.

TechCrunch
Apr 8th, 2026
Databricks CTO wins computing award, says 'AGI is here already

Databricks co-founder and CTO Matei Zaharia has been awarded the 2026 ACM Prize in Computing, recognising his contributions including Apache Spark, the open source big data project he created during his PhD at UC Berkeley in 2009. The award includes a $250,000 prize, which Zaharia is donating to charity. Under Zaharia's engineering leadership, Databricks has grown into a cloud storage and AI data foundation giant, raising over $20 billion at a $134 billion valuation and achieving $5.4 billion in revenue. Zaharia believes artificial general intelligence already exists but argues we should stop applying human standards to AI models. He advocates for AI agents that leverage their unique strengths in data processing rather than mimicking human assistants, citing security risks. His focus is on AI-powered research automation across fields like biology and engineering.

PR Newswire
Apr 7th, 2026
DBOS partners with Databricks to boost agentic AI reliability and observability

DBOS, Inc. has announced a technology partnership with Databricks to enhance the reliability and observability of agentic AI workflows. The collaboration integrates DBOS's open-source durable execution platform with Databricks and Lakebase, Databricks' serverless Postgres database designed for AI agents. The partnership addresses challenges in agentic AI, including long-running workflows and unpredictable model responses. DBOS stores workflow checkpoints in Lakebase in real time, enabling AI agent workflows to resume automatically after failures without data loss. Yutori, an AI company building autonomous web agents, is already using the combined platform to power its workflows. The integration is available immediately and requires no additional infrastructure or coding changes. DBOS is backed by joint MIT-Stanford research and serves AI startups and Fortune 100 companies.

SiliconANGLE Media
Apr 7th, 2026
London AI security startup Trent AI raises $13M to protect AI agents from cyber threats

Trent AI, a London-based AI security startup, has launched with $13 million in seed funding led by LocalGlobe and Cambridge Innovation Capital. Executives from Databricks and Stripe also participated. Founded by former Amazon Web Services engineers Eno Thereska, Neil Lawrence and Zhenwen Dai, Trent AI has developed a platform that uses AI agents to identify cybersecurity issues in AI agents and their generated code. The platform employs four groups of agents that find exploits, rank vulnerabilities by severity, generate remediation suggestions, and track security changes over time. The platform can simulate complex attack paths and provides tool-specific features for OpenClaw and Lovable. Trent AI claims its technology outperforms traditional cybersecurity products designed for conventional software. The company will use the funding to expand its customer base and engineering team.