Databricks
Databricks

60 Databricks Product Development Jobs Hiring Near You

RDQ127R236 At Databricks, we are passionate about enabling data teams to solve the world's toughest ... development of medical breakthroughs. We do this by building and running the world's best data and ...

Sr. Machine Learning Engineer

San Francisco, CA

$144.30K - $190.30K/yr

Drive the development and deployment of state-of-the-art AI models and systems that directly impact the capabilities and performance of Databricks' products and services (e.g., Databricks Assistant ...

Sr. Machine Learning Engineer

San Francisco, CA · On-site

$164.20K - $205.20K/yr

... of development. In 2025, we will focus on enhancing LLM quality, expanding GenAI capabilities across Databricks products, and strengthening our platform architecture to enable seamless AI ...

Sr. Machine Learning Engineer

San Francisco, CA · On-site

$164.20K - $205.20K/yr

... of development. In 2025, we will focus on enhancing LLM quality, expanding GenAI capabilities across Databricks products, and strengthening our platform architecture to enable seamless AI ...

Sr Staff Product Operations Manager

Bellevue, WA · On-site

$142.80K - $188.50K/yr

P-1495 About Databricks At Databricks, we are passionate about enabling data teams to solve the ... Lead the evolution of our product development lifecycle (PDLC). You will identify structural ...

Showing results 41-60

Databricks Jobs Information

What are the key skills and qualifications needed to thrive in Product Development, and why are they important?

To thrive in Product Development, you need expertise in market research, project management, and product lifecycle understanding, often supported by a degree in engineering, business, or a related field. Familiarity with tools like Agile software, prototyping platforms, and product management systems (e.g., Jira, Trello) is typically required. Creativity, strong communication, and cross-functional collaboration are crucial soft skills for success in this role. These competencies ensure the creation of innovative, user-centric products that successfully reach the market and meet business goals.

What are some common challenges faced by professionals in Product Development, and how can they be addressed?

Product Development professionals often encounter challenges such as balancing customer needs with technical feasibility, managing cross-functional team communication, and meeting tight deadlines. Navigating these issues typically involves clear prioritization, regular stakeholder check-ins, and fostering a collaborative environment with engineering, design, and marketing teams. Utilizing agile methodologies and maintaining open feedback channels can also help streamline processes and ensure alignment on project goals.

What is product development?

Product development is the process of creating new products or improving existing ones to meet customer needs and business goals. It involves several stages, including idea generation, market research, design, prototyping, testing, and launching the product to the market. Product development often requires cross-functional collaboration between teams like marketing, engineering, design, and manufacturing. The goal is to deliver a product that provides value to customers and stands out in the marketplace.

What is the difference between Product Development vs Product Management?

AspectProduct DevelopmentProduct Management
Primary FocusDesigning, creating, and building productsStrategizing, planning, and overseeing product lifecycle
Required SkillsTechnical skills, engineering, designMarket research, communication, leadership
Work EnvironmentEngineering teams, R&D, technical departmentsCross-functional teams, executive meetings
Common CertificationsEngineering degrees, technical certificationsProduct management certifications (e.g., PMP, Scrum)

Product Development focuses on creating and building products, involving technical and engineering tasks. Product Management involves strategizing, planning, and guiding the product's lifecycle, requiring strong market and leadership skills. While they collaborate closely, their core responsibilities differ: one builds, the other manages the product's success.

What is it like to work at Databricks?

Databricks is known for its collaborative and innovative culture, prioritizing teamwork, open communication, and continuous learning. The company's structure is designed to foster a sense of community, with cross-functional teams working together to drive product development and customer success, often in an open and modern office environment. Working at Databricks may appeal to candidates who are passionate about data and AI, as the company offers opportunities to work on cutting-edge projects, collaborate with industry experts, and contribute to the growth of a rapidly expanding field.
Infographic showing various Product Development job openings at Databricks in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 94% Physical, and 6% Remote job distribution.
Sr. Product Manager, Compute Platform

Sr. Product Manager, Compute Platform

Databricks

San Francisco, CA

$149K - $196.80K/yr

Other

Posted 23 days ago


Job description

RDQ127R236

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 tackle 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. 

We are looking for a customer-obsessed, strategic, and action-oriented Sr. Product Manager for the Compute Platform. What's the Compute Platform? Simply, it's what powers Databricks workloads - providing customers many types of compute for different types of work - Classic Compute, SQL Warehouses, and Serverless Compute. This platform is mission-critical to many Databricks products and features.

This role will be highly cross-functional and deeply technical. It will require coordinating product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.

The impact you will have:

  • Research, define, and own the product vision, strategy, and roadmap for compute platform features and products (Classic and Serverless)
  • Work closely with engineering, design, sales, and marketing to launch new features and drive adoption.
  • Engage directly with customers and partners to understand their needs and prioritize high-impact solutions.
  • Continually improve efficiency and value for internal stakeholders and external customers though measured and strategic execution.
  • Drive competitive differentiation and positioning between our compute platform and competitive SaaS and IaaS products.
  • Collaborate with leadership to align product initiatives with business goals.
  • Use data-driven insights to measure success, iterate, and improve user experience.

What we look for:

  • 5+ years of product management experience, preferably in cloud, analytics, or data platforms.
  • Deep understanding of data platforms, the compute products that power them, and compute use cases.
  • Educational background in computer science or related engineering practice.
  • Experience working with engineers and designers to ship high-impact and cross-functional products.
  • Exceptional communication and storytelling skills to inspire teams and stakeholders.
  • Experience in working hand-in-hand with enterprise customers and ISV partners in the data market.