Full-Time

Head of ISV

Industries

Databricks

Databricks

10,001+ employees

Data lakehouse platform for analytics

Compensation Overview

$172.2k - $236.8k/yr

+ Bonus + Equity

United States

In Person

Category
Sales & Account Management (1)
Required Skills
Data Science
Databricks
Requirements
  • Twenty or more years of experience selling Software, Software as a Service, and Cloud Sales
  • Ten or more years of experience architecting and defining strategy for independent software vendors at scale
  • Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer)
  • Track record of building strong ecosystems of lucrative customer relationships and cross-functional partnerships (Sales, Product, Engineering)
  • Outstanding communication skills (verbal, written, and presentation) for both technical and executive audiences
  • Technically knowledgeable in the open source software, big data, Internet of Things, and/or cloud computing space
  • Ability to translate technical concepts into business value, interacting with both business executives and technical audiences (data scientists and engineers)
  • In-depth understanding of alliance/partner organizations, key stakeholder management, joint value proposition development, and delivering field enablement programs
  • Aptitude to learn quickly and establish credibility
  • Proactive, entrepreneurial spirit and tenacious team player
  • Degree in business, economics, engineering, finance, science, or math preferred
Responsibilities
  • GTM Strategy & Execution: Develop and execute AMER GTM strategy, implementing innovative strategies that expand our market presence
  • Sales Programs: Launch sales plays and programs within Databricks, ISVs, and our shared ecosystem with an industry-first lens. Launch programs, sales plays, partner power plays (with Cloud, SIs, and other ISVs)
  • Demand Generation: Work with Sales Dev, Demand Gen, and Marketing to launch outbound and inbound campaigns to spread awareness and create pipeline creation
  • Operational Excellence: Create and drive operational rigor for cadence, reporting, KPIs, escalation process, stakeholder updates, and QBRs
  • Market Research: Conduct research, including customer discussions and aggregated customer feedback, to identify trends, customer needs, and competitive landscape to inform solution development and strategy. Provide data-driven insights on trends and represent voice of the partner and customer
  • Sales Enablement: Collaborate with enablement, sales, and solution engineering to drive ISV-related sales motions, including training, messaging, and co-selling efforts
  • Deal Support: Anticipate (and proactively solve) channel conflict, support deal creation through close, drive account field engagement with BU leaders and strategic priority accounts
  • One-Team: Develop an environment for winning and success to further nurture a ‘one team’ collaborative culture
  • Set a winning Strategy: Understand and align the right ISVs to Sales priorities, company priorities, and critical industry imperatives
  • Drive Partner Success: Work with ISV Partner C-suite, Alliance, and Sales teams to build and execute on GTM plans in the region. Facilitate Regional QBRs with important partners
  • Build for Scale: Work with Sales Programs to embed ISV Partners into core motions and priorities
  • Activate and enable the field: Scope, create and deliver enablement on how best to work with ISVs and which ISVs to work with for certain industry imperatives and company priorities. Lead Sales workshops between partners and databricks to unlock new use cases and progress said pipeline
  • Represent the business: Have the depth to handle discussions on Delta Sharing partners, Connected partners, and Built Ons with customers and partners
  • Make our ISV Program a competitive differentiator: Engage top data and AI leadership, industry leadership, and the C-suite to build mindshare with top ISVs and build a program that is just as much a competitive differentiator for partners as our product
  • Triangulate and drive ecosystem success: Drive Partner Power Play, aligning the right ISVs to the right SIs. Define repeatable use cases and work with the industry team and partners to build Brickbuilder Solutions
  • Measure, Iterate, and Improve: Identify cross-functional gaps and work to bring teams together to solve them. Identify gaps in our ecosystem portfolio and assist in recruiting the appropriate partners. Drives efficiencies and productivity across their region, guiding on accurate activity tracking from a depth of experience
  • Collaborate Cross Functionally: Interlock and build effective relationships with Sales teams, Business Development, Product, Engineering, Pre-sales, Post-sales, Marketing, Partners, and other partners in the ecosystem
Desired Qualifications
  • Degree in business, economics, engineering, finance, science, or math

Databricks provides a unified data and AI platform built around a lakehouse architecture that blends data lakes and data warehouses. It helps organizations ingest, store, manage, and analyze data from various sources, then apply analytics and machine learning at scale. The platform offers automated ETL, secure data sharing, and high-performance analytics, with built-in support for AI workloads and model deployment. Unlike traditional single-purpose data stores, Databricks combines data engineering, data science, and business analytics in one system, aiming to streamline data workflows and make insights readily actionable. Its goal is to enable businesses to manage data more efficiently, accelerate insight generation, and deploy AI and analytics across diverse teams through a subscription-based platform and professional services.

Company Size

10,001+

Company Stage

Debt Financing

Total Funding

$27.1B

Headquarters

San Francisco, California

Founded

2013

Simplify Jobs

Simplify's Take

What believers are saying

  • Neurolabs, UiPath, and RESAAS expand Databricks into vertical data products and automation.
  • Lakewatch and Lakebase broaden Databricks into security and agentic AI infrastructure.
  • APJ revenue grew over 85% year over year, supporting aggressive regional expansion.

What critics are saying

  • Snowflake and Microsoft Fabric compress Databricks' standalone warehouse and analytics expansion.
  • Hyperscalers can bundle native data, BI, and AI tools below Databricks pricing.
  • Partner ecosystems can reroute workflow control away from Databricks, weakening pricing leverage.

What makes Databricks unique

  • Databricks unifies lakehouse analytics, ETL, machine learning, and generative AI on one platform.
  • Unity Catalog provides governed access, lineage, and Delta Sharing across cloud environments.
  • Google Cloud availability completes Databricks' AWS, Azure, and GCP hyperscaler coverage.

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Your Connections

People at Databricks who can refer or advise you

Benefits

Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
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