Databricks Logo

Databricks

Senior Manager, Global Premier Support

Posted 10 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Plano, TX
170K-234K Annually
Senior level
In-Office or Remote
Hiring Remotely in Plano, TX
170K-234K Annually
Senior level
Leads Databricks’ global Premier Support team, hiring and developing Designated Support Engineers who deliver technical advocacy and white-glove support to enterprise customers. Drives process improvements, performance KPIs, customer satisfaction, incident mitigation, and program enhancements. Partners with sales, field, product, engineering, and regional leadership teams, coordinates resolution of technical blockers, and conducts internal and external support experience QBRs.
The summary above was generated by AI

CSQ227R21

As a leader within the Premier Support team at Databricks, you’ll be responsible for leading and managing a team of Designated Support Engineers which deliver white-glove support experiences for Databricks’ enterprise customers. You will be hiring, mentoring, and developing a team of strong customer technical advocates while closely partnering with go-to-market, field and product teams to deliver the best support experience to maximize customer satisfaction and reduce time to mitigation for technical issues and incidents.

The impact you will have: 

  • Hire, onboard, and develop a top-tier team of Designated Support Engineers (DSE)

  • Identify and operationalize process improvements to meet or exceed team performance KPIs and create consistently exceptional support experiences

  • Partner closely with field, engineering, support, and other cross functional stakeholders within Databricks to ensure seamless post-sales experience and advocate customer needs.

  • Contribute to program enhancements and offerings tailored to evolving customer needs

  • Coordinate execution and collaborate across customers, accounts teams and regional GTM leadership teams to resolve technical blockers and drive high customer satisfaction

  • Conduct internal and external Support Experience QBRs

What we look for:

  • 15+ years of industry experience, with at least 7+ years of management experience

  • Proven ability to hire and scale high-performing support or field teams, enabling them and helping them grow in larger roles

  • Ability to work with strategic customers driving multiple completing priorities

  • Preferred 5+ years of Technical experience in Python, Java or Scala-based application development, SQL databases, Linux/Unix systems, or cloud platforms (AWS, Azure, or GCP)

  • 5+ years of technical support or field leadership experience managing global technical teams. Open to occasional travel to team locations

  • Experience working cross-functionally with other teams such as Sales, Field Engineering, Product Management, and Engineering

  • Experience with influencing senior executives and and senior customer leaders

  • B.S degree in Computer Science or a related field is required (M.S. preferred).



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.


Zone 1 Pay Range
$170,400—$234,300 USD

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.


Zone 3 Pay Range
$144,900—$199,200 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.
Benefits
At 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.

Databricks New York, New York, USA Office

1460 Broadway New York, New York, NY, United States, 10036

Similar Jobs

11 Minutes Ago
Easy Apply
Remote or Hybrid
Easy Apply
109K-155K Annually
Senior level
109K-155K Annually
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
Lead design and delivery of scalable Sales Cloud and GTM systems. Translate GTM requirements into functional and technical designs, coordinate stakeholders, automate sales workflows with AI, and manage onshore/offshore teams to implement and optimize Salesforce and related GTM tools.
Top Skills: AgentforceAi ToolsCRMPrmSales CloudSalesforceSalesforce Einstein
16 Minutes Ago
Remote
USA
90K-110K Annually
Mid level
90K-110K Annually
Mid level
Healthtech
Build and maintain Customer Success and Implementation playbooks, SOPs, training programs, knowledge bases, presentation materials, and scalable workflows. Partner cross-functionally to communicate process and product changes, improve automation and efficiency, identify customer risks, and measure enablement effectiveness. Support implementation, launch readiness, customer health, escalations, business reviews, renewals, and expansion.
Top Skills: NotionSalesforce
16 Minutes Ago
Remote
USA
150K-220K Annually
Senior level
150K-220K Annually
Senior level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Lead end-to-end LLM inference performance across serving systems, models, GPU hardware, and workloads. Define rigorous benchmarks, diagnose bottlenecks from scheduling through kernels and interconnects, optimize single- and multi-node deployments, and deliver production-ready runtimes and configurations. Collaborate with product and infrastructure teams, evaluate inference technologies, and implement runtime fixes. The role requires strong Python engineering, production experience with serving engines such as vLLM or SGLang, GPU profiling, and knowledge of modern inference optimization techniques.
Top Skills: CudaDistributed ServingGpu ProfilingGpu SystemsHigh-Speed NetworkingPythonQuantizationSglangSpeculative DecodingTritonVllm

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account