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60 Databricks Product Development Jobs Hiring Near You

Databricks

Sr. Product Manager, Databricks Repos

Seattle, WA · Remote

$144K - $190K/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 ...

Databricks

Senior Software Engineer - Money Team

Bellevue, WA

$138.30K - $182.30K/yr

Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams. * Represent Databricks at academic and industrial conferences ...

Databricks

Sr. Product Manager, Compute Platform

Seattle, WA · On-site

$148.80K - $204.53K/yr

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 ...

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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.
Senior Software Engineer - Infrastructure and Tools

Senior Software Engineer - Infrastructure and Tools

Databricks

San Francisco, CA • On-site

$166K - $225K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted yesterday

Job description

P-78
While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered.
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 solve 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.
As a Senior Software Engineer on the Infrastructure teams, you will build scalable systems to power the Databricks platform, making it the de-facto platform for running Big Data and AI workloads. You will build and extend the Databricks infrastructure platform, which includes multi-cloud systems and services for managing thousands of Kubernetes clusters at scale, storing petabytes of data, highly scalable and distributed API gateways, rate limiting framework, network security and encryption, developer tools and infrastructure (we use Bazel), testing frameworks, and scalable CI/CD framework among many others.
The impact you will have:
  • Build and extend components of the core Databricks infrastructure
  • Architect multi-cloud systems and abstractions to allow the Databricks product to run on top of existing Cloud providers
  • Improve software development workflows for engineering and operational efficiency.
  • Use our own data and AI platform (yes!) to analyze build and test logs and metrics to identify areas for improvement.
  • Develop automated build, test, and release infrastructures.
  • Set and uphold the standard for engineering processes to support high-quality engineering, including style and code checking, test harnesses, and release packaging.

What we look for:
  • BS (or higher) in Computer Science, or a related field
  • 5+ years of experience writing production code in one of: Java, Scala, Go, C++ or Python
  • Passion for building highly scalable and reliable infrastructure
  • Experience architecting, developing and deploying large-scale distributed systems at scale
  • Experience with cloud APIs (e.g., a public cloud such as AWS, Azure, GCP or an advanced private cloud such as Google, Facebook)
  • Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes, or Terraform.

Benefits
  • Comprehensive health coverage including medical, dental, and vision
  • 401(k) Plan
  • Equity awards
  • Flexible time off
  • Paid parental leave
  • Family Planning
  • Gym reimbursement
  • Annual personal development fund
  • Work headphones reimbursement
  • Employee Assistance Program (EAP)
  • Business travel accident insurance

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
$166,000-$225,000 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
BenefitsAt 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.

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