ZipRecruiter

Log In

Databricks
Databricks

60 Databricks Product Development Jobs Hiring Near You

Databricks

Staff Partner Engineer, Azure

New York, NY · On-site

Own the Databricks-Azure product-to-cloud technical roadmap, serving as the primary interface ... Familiarity with modern development workflows and AI-assisted development tools (Cursor, Claude ...

Databricks

Staff Partner Engineer, Azure

New York, NY · On-site

$150.20K - $206.45K/yr

... product integrations between major platforms. * Familiarity with modern development workflows and AI-assisted development tools (Cursor, Claude Code, Codex). Pay Range Transparency Databricks is ...

Databricks

Staff Partner Engineer, Azure

Manhattan, NY · On-site

$150.20K - $206.45K/yr

... product integrations between major platforms. * Familiarity with modern development workflows and AI-assisted development tools (Cursor, Claude Code, Codex). Pay Range Transparency Databricks is ...

Databricks

Sr. Staff Partner Engineer

New York, NY · On-site

... development experience with ability to build production-grade applications, combined with expertise in CI/CD, DevOps practices, and architectural quality enforcement. * Technical expert on Databricks ...

Databricks

Sr. Staff Partner Engineer

Manhattan, NY · On-site

$174.80K - $240.35K/yr

... development experience with ability to build production-grade applications, combined with expertise in CI/CD, DevOps practices, and architectural quality enforcement. * Technical expert on Databricks ...

Databricks

Sr. Staff Partner Engineer

New York, NY · On-site

$174.80K - $240.35K/yr

... development experience with ability to build production-grade applications, combined with expertise in CI/CD, DevOps practices, and architectural quality enforcement. * Technical expert on Databricks ...

Databricks

Engineering Manager - Streaming

Bellevue, WA · On-site

$181K - $253.75K/yr

We're seeking a dedicated Engineering Leader to spearhead Spark™ Structured Streaming development ... Make company wide impact by driving Stream Processing adoption across the Databricks product ...

Databricks

Sr. Product Manager, Databricks Repos

Seattle, WA · On-site

$148.80K - $204.53K/yr

... development of medical breakthroughs. We do this by building and running the world's best data and ... You will improve developer productivity and reliability by aligning Repos with Databricks Workflows ...

next page

Showing results 1-20

All JobsDatabricks Product Development Jobs

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.
What are the most popular jobs at Databricks?
What are the most popular categories at Databricks?
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, Data Engineering

Sr. Product Manager, Data Engineering

Databricks

San Francisco, CA • On-site

$149K - $196.80K/yr

Full-time

Posted 2 days ago

Job description

Job Summary:
Databricks is a data and AI company that empowers data teams to tackle significant challenges through their advanced data and AI infrastructure platform. The Sr. Product Manager for Data Engineering will lead product management for the Lakeflow product area, overseeing the entire lifecycle from vision to go-to-market strategies, while collaborating with various product teams to enhance the overall Databricks product portfolio.
Responsibilities:
• Lead product management for one of the fastest growing products and businesses at Databricks
• Make company wide impact by driving Data Engineering across the Databricks product portfolio
• Develop and deepen understanding of and expertise in Data Engineering, a foundational domain in the data and AI industry
• Define, shape, and drive the future of data processing, data applications, and data pipelines
• Own the full life cycle of product development from ideation to requirements, development, pricing, launch, and go-to-market.
Qualifications:
Required:
• 5+ years of product management and related experience with enterprise or SaaS products.
• Educational or professional background in computer science or related engineering fields.
• Ability to partner with senior technical leaders from Engineering, while going deep on technical concepts.
• Track record of delivering products with cross-functional teams common to enterprise software industry (field engineering, sales, marketing, partnerships, etc.)
• Analytical skills to make data-driven decisions (e.g. analyze product usage)
• Excellent communication skills to clearly and concisely communicate complex topics to diverse stakeholders (engineers, customers, etc.) in written and verbal form.
Preferred:
• A background in Data Engineering is a plus but not required.
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

Apply