Join Databricks as a Sales Leader to drive consumption and expansion success in the Commercial sales organization.
Posted by employer 3 hours ago
First seen on Joblaze 1 hour ago
Last verified on the company career page 1 hour ago
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In this role, the Sales Leader will manage and inspire a team of Account Executives focused on enhancing customer relationships and driving platform adoption within the Commercial segment. Key skills include expertise in consumption-based sales and the ability to translate complex technical solutions into business value for clients. This position is ideal for someone with over three years of experience in B2B sales, particularly in data, AI, or SaaS environments, who can effectively coach and develop their team. Databricks emphasizes a collaborative culture, fostering deep relationships across customer stakeholders.
Quick facts
- How much experience is required?
- At least 3 years of relevant experience for this Sales Leader, Commercial role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI, Cloud, Data, SaaS.
- What seniority level is this role?
- Databricks targets lead candidates for this position.
- Is this full-time or contract?
- Full-time for this Sales Leader, Commercial role at Databricks.
From the original posting
P-1507
We are looking for a Sales Leader to join our growing Commercial sales organization. You will be responsible for overseeing and motivating a team of Account Executives dedicated to expanding and optimizing existing customer relationships across our Commercial segment. You will be measured by your team’s ability to drive platform adoption, accelerate consumption, uncover new workloads, and achieve net retention and expansion targets. We are looking for an execution-oriented leader who excels at consumption-based selling, account orchestration, and developing Account Executives into trusted advisors who can turn initial deployments into enterprise-wide standard platforms.
The impact you will have:
- Drive Consumption & Expansion Success: Own and exceed your team’s monthly, quarterly, and annual net expansion and platform consumption targets across the installed Commercial customer base.
- Develop and Implement Account Growth Strategies: Lead the execution of strategic whitespace analysis, workload identification, and account development plans to maximize product usage and long-term customer value.
- Build Trust-Based Relationships: Foster deep, multi-threaded relationships with customer stakeholders, executive sponsors, and cross-functional teams (including Solutions Architects, Customer Success, and Product).
- Lead with Value & Business Outcomes: Enable your team to understand the technical and operational roadmaps of customers, tying increased platform usage directly to measurable business outcomes and ROI.
- Empower Front-Line Growth Advisors: Coach your team to identify inflection points for usage growth, negotiate expansion commitments, and proactively mitigate churn risks throughout the customer lifecycle.
What we look for:
- 3+ years of experience leading high-growth B2B sales or account management teams within Data, AI, Cloud, or SaaS infrastructure environments.
- Deep experience with consumption-based, usage-driven, or product-led expansion sales models.
- Proven track record translating complex, technical architectures into tangible business value and operational ROI for mid-market C-suites and technical leadership.
- Strong leadership capability to coach Account Executives on account planning, workload discovery, cross-selling/upselling, and multi-threaded stakeholder management.
- High operational rigor around usage forecasting, health-metric monitoring, and pipeline management.
- Polished executive presence with outstanding written and verbal communication skills.
- Willingness to travel as needed (<25%) to co-sell and support high-impact expansion opportunities.
- Bachelor’s degree required; MBA or advanced degree is a plus.
Standard company text repeated across Databricks's postings is omitted here.