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Active13h ago

Senior Manager, Global Premier Support

Databricks·📍 Mountain View, California, United States

Employment

Full-Time

Work mode

On-site

Experience

SENIOR LEVEL

Salary

$200K – $275K/yr

Role overview

Job description

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 t

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Role market pulse

How Senior Manager demand looks in United States

74/100 · rising

Live jobs

270

Posted 30d

180

30d movement

+291.3%

Remote share

25.2%

Salary listed

60.4%

Salary trend 1Y

Not enough history

What they are looking for

Skills & requirements

Qualification

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; government license for such positions, and Employer may decline to proceed with an applicant on this basis alone

Department · Support

Databricks logo

Hiring company

Databricks

Technology

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data + AI Platform.

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