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60 Databricks Operations Jobs Hiring Near You

Databricks

Staff Software Engineer- CXI

Mountain View, CA · On-site

$164K - $225K/yr

... Databricks' AI-native vertical workflow platform. CXI is building intelligent systems that orchestrate AI agents, humans, and enterprise tools into end-to-end operational workflows. Support is our ...

Databricks

Sr Software Engineer- CXI

Mountain View, CA · On-site

$164K - $225K/yr

... Databricks' AI-native vertical workflow platform. CXI is building intelligent systems that orchestrate AI agents, humans, and enterprise tools into end-to-end operational workflows. Support is our ...

Databricks

Solutions Architect

Toronto, ON · On-site

... operations teams with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes. You will work with teams across Databricks and our executive leadership to represent your ...

Databricks

Senior Financial Analyst

Bellevue, WA · On-site

$137K - $189K/yr

Develop a deep understanding of Databricks' business model to drive forecast and business insights * Analyze company performance against core financial and operational KPIs and communicate insights ...

Databricks

Alliance RVP, McKinsey

Atlanta, GA · On-site

$204K - $280K/yr

You will expand the mindshare for Databricks within the McKinsey partner organization, primarily by ... and operations * Execution Readiness: support practice and skills development for C&SI Partners ...

Databricks

Principal Data Scientist

Mountain View, CA · On-site

Databricks is looking for a Principal Data Scientist to serve as the statistical voice of the Data ... Produce deep strategic analyses on revenue, platform health, operational efficiency, and ...

Databricks

Manager, Field Engineering - MFG

Chicago, IL · On-site

$172K - $237K/yr

You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market. The impact you will have: * You will hire ...

Databricks

Staff Software Engineer - Streaming

Seattle, WA · On-site

$182K - $247K/yr

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems ... A track record of delivering features while maintaining a high bar for operational excellence and ...

Databricks

Sr Software Engineer-Networking

Bellevue, WA · On-site

$157K - $213K/yr

(P-1286) At Databricks, we are passionate about enabling data teams to solve the world's toughest ... You will work closely with cross-functional teams, including product management, operations, and ...

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Databricks Jobs Information

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 job types at Databricks?

    What are the most popular jobs at Databricks?

    What are the most popular categories at Databricks?

    Infographic showing various Operations job openings at Databricks in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 83% Physical, and 17% Remote job distribution.

    Sr. Engineering Manager - Customer Experience Intelligence (CXI)

    Mountain View, CA • On-site

    Databricks
    Software Development • 5 - 10K employees
    Learn more about Databricksexternal

    $222K - $312K/yr

    Full-time

    Re-posted 17 days ago

    Key responsibilities

    • Architect, lead, and deliver Databricks' AI-native vertical workflow platform.

    • Design and implement complex workflows that evolve from human-in-the-loop validation to full automation.

    • Act as a technical liaison to coordinate between CXI, Product, Platform Engineering, and business stakeholders.

    Job description

    P-1600
    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 build and run the world's leading data and AI infrastructure platform so customers can transform deep data insights into business outcomes.
    Founded by engineers and grounded in customer obsession, we embrace every opportunity to tackle complex technical challenges - from creating next-generation UI/UX for interacting with data to scaling our services across millions of virtual machines. And we're only getting started.
    As the Senior Engineering Manager for Customer Experience Intelligence (CXI), you will architect, lead and deliver Databricks' AI-native vertical workflow platform. CXI is building intelligent systems that orchestrate AI agents, humans, and enterprise tools into end-to-end operational workflows. Support is our first production domain and the platform is designed to expand across multiple domains such as IT, Security, Legal, Marketing, and other knowledge-worker workflows, with a roadmap toward broader productization.
    The Impact You Will Have:
    • Architect the Agentic Ecosystem: Contribute to the technical vision, core infrastructure, and backend architecture for Databricks' next-generation Enterprise Agentic Framework.
    • Scale across multiple domains: Build a vertical modular, multi-tenant agent platform initially optimized for Customer Support, but natively designed to expand into other domains such as IT, Security, Compliance, Marketing, HR, Legal and all ticket based workflows across the company.
    • Engineered Reliability: Drive rapid, iterative backend development while upholding strict quality, safety, throughput, and reliability standards for agentic-based systems.
    • Orchestrate Complex Workflows: Design state-machine and agentic workflows that seamlessly evolve from human-in-the-loop validation to fully automated execution.
    • Enterprise-Grade Observability: Implement robust backend tracing, logging, transparency, and safe execution including instant rollback mechanisms for critical AI-driven business decisions.
    • Cross-Functional Leadership: Act as a technical liaison between CXI, Product, Platform Engineering, and business stakeholders across various organizations to unblock dependencies and align roadmaps.
    • Raise the Bar: Set a high engineering bar for backend code quality, system performance, and architectural maintainability in line with Databricks standards.
    • Mentor and Cultivate: Mentor engineers and subject matter experts (SMEs) across Software, Support, and internal operations teams.
    What we look for:
    • BS or higher degree in Computer Science or a related field.
    • 10+ years of experience building and operating AI-native workflow products or platforms.
    • 5+ years of experience leading and growing software engineering teams.
    • Demonstrated ability to combine software engineering, AI capabilities, operational workflows, and product thinking into cohesive customer experiences.
    • Strong product judgment with the ability to translate ambiguous operational problems into intuitive workflows and measurable business outcomes.
    • Experienced influencing across multiple engineering and product organizations.
    • Excellent written and verbal skills with the ability to articulate complex strategies clearly and concisely.

    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
    $222,000-$312,600 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.
    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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