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Databricks

Product Adoption Manager, Strategy and Execution

Reposted One Month Ago
Remote
Hiring Remotely in United States
163K-224K Annually
Senior level
Remote
Hiring Remotely in United States
163K-224K Annually
Senior level
Run and own AI-first sales development programs: design metrics, reporting, governance, adoption, and sequence management. Drive executive cadences, prioritize with sales leaders, build data foundations and field-facing reporting, and partner across AI Ops, Sales Ops, GTM Analytics, and Enablement to scale AI-native prospecting.
The summary above was generated by AI

SLSQ327R269

Databricks is looking for a motivated Manager to join our Strategy & Operations team to strengthen our product-focused planning and execution, provide strategic analysis, and instill operational thoughtfulness in our successful and fast-growing GTM teams

You will use data and qualitative information to help our Sales and Field Engineering Leadership manage the business with a specific focus on Platform health and adoption. This role will support our Genie and AI product lines. This includes serving as a strategic partner for VP-level GTM leaders, supporting essential aspects of our GTM design and annual planning process, building our data and analytics foundation (including executive reporting), and providing health of business reviews. You will work with our Field Engineering, Sales, Product, Finance, Data, Partnerships, and other GTM teams. You will report to the Director of FE Strategy and Ops.

The impact you will have:

  • Serve as a strategic business partner for both Sales and Field Engineering leadership
  • Lead executive analyses, strategies, and deliverables (e.g., board materials, QBR)
  • Provide operational visibility and performance tracking against targets (weekly reviews, async updates)
  • Generate deep dives into performance trends with/action-oriented outcomes
  • Spearhead GTM operations for new products and partnerships, providing reporting, insights, and recommendations
  • Drive necessary GTM changes to scale new initiatives, working with varying x-functional teams
  • Inform and enhance product roadmap with voice of the field and quantitative analysis
  • Improve GTM visibility into product roadmap and feature releases
  • Guide annual GTM planning process (FY and long-range modeling, KPI setting, HC planning)

What we look for:

  • Relevant experience: 7+ years of strategy & operations experience (eg. Enterprise SaaS experience, top tier strategy consulting, investment banking, business operations)
  • Business Ownership: Leadership and confidence to support VP-level GTM stakeholders like you own the business
  • Relentless problem solving: Ability and passion to analyze, set priorities, and solve complex problems, digging deeper to find root causes; unafraid to ask questions
  • AI and technical fluency: Leverages cutting edge AI and data tools for analysis, problem solving, data visualization, and automation; continually learning and expanding skillset; familiarity with common GTM tech stack and tools (Databricks, SFDC, Tableau, SQL, etc)
  • Comfort with ambiguity: You’ll be on the cutting edge of our Go-to-market engine, things won’t always be clean or easy. But you embrace that challenge and are excited to build for scale
  • Zero to C-Suite: Capable of going deep in analysis while elevating your findings and communication to exec level reportingPassion for your customer: You recognize that Strategy and Ops is a customer-facing job; you prioritize your customer and their needs

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 base 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 anticipated 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
$162,900$223,950 USD
Zone 2 Pay Range
$146,600$201,500 USD
Zone 3 Pay Range
$138,500$190,400 USD
Zone 4 Pay Range
$130,300$179,200 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.

HQ

Databricks San Francisco, California, USA Office

160 Spear Street, San Francisco, CA, United States, 94105

Databricks Mountain View, California, USA Office

351 E Evelyn Ave Mountain View, CA USA, Mountain View, United States, 94041

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