10+ years of progressive sales experience, with at least 5+ years in sales leadership roles in high-growth SaaS, enterprise data, or AI/ML solution providers.
Proven success selling for or selling into companies such as Palantir, Snowflake, and/or Databricks.
Demonstrated track record of exceeding sales targets and scaling revenue in complex, multi-stakeholder environments.
Deep industry knowledge of AI, analytics, data engineering, cloud, and/or enterprise infrastructure.
Requirements:
Develop and execute a comprehensive go-to-market and sales strategy for enterprise AI, orchestration, and data solutions.
Build, mentor, and manage a high-performing sales organization to meet aggressive revenue targets and expansion goals.
Identify and pursue new business opportunities across Fortune 1000, strategic federal, and advanced market customers.
Lead complex, consultative sales engagements from identification through close; own the full enterprise sales cycle.
Job description
Remote conditions: Remote or Hybrid (Preferred: US Major Metro Area) Compensation: Base salary of $220,000 – $300,000/year with total on-target earnings (OTE) of $340,000 – $500,000+ annually, plus significant equity. The final compensation package will be commensurate with experience, track record, and market benchmarks. Position Description:
Our client is looking for results-driven VP of Sales to accelerate revenue growth at a leading-edge company in the GenAI and enterprise data sector. This position offers the unique opportunity to define go-to-market strategy, build a sales organization, and drive adoption of cutting-edge AI, orchestration, and data infrastructure solutions.
As a VP of SaaS Sales, you will lead all revenue operations and business development activities, reporting directly to the CEO. This executive will define and execute the overall sales strategy, build and manage the sales team, and cultivate relationships with enterprise, federal, and strategic commercial clients. The ideal candidate leverages a proven network and deep experience selling complex enterprise data and AI products, with a track record of success at industry innovators such as Palantir, Snowflake, or Databricks.
Position Responsibilities:
Develop and execute a comprehensive go-to-market and sales strategy for enterprise AI, orchestration, and data solutions.
Build, mentor, and manage a high-performing sales organization to meet aggressive revenue targets and expansion goals.
Identify and pursue new business opportunities across Fortune 1000, strategic federal, and advanced market customers.
Lead complex, consultative sales engagements from identification through close; own the full enterprise sales cycle.
Drive pipeline generation, forecast accuracy, and sales operational excellence.
Develop executive-level client relationships and strategic partnerships across both technology and C-suite audiences.
Collaborate with Product, Marketing, and Customer Success to ensure a seamless customer experience and maximize market fit.
Present business cases, product value, and ROI to a variety of customer stakeholders, tailoring communication to both technical and executive audiences.
Monitor market trends, competitor landscape, and client feedback to inform strategy and product positioning.
Position Qualifications:
10+ years of progressive sales experience, with at least 5+ years in sales leadership roles in high-growth SaaS, enterprise data, or AI/ML solution providers.
Proven success selling for or selling into companies such as Palantir, Snowflake, and/or Databricks.
Demonstrated track record of exceeding sales targets and scaling revenue in complex, multi-stakeholder environments.
Deep industry knowledge of AI, analytics, data engineering, cloud, and/or enterprise infrastructure.
Exceptional skills in executive-level relationship-building, pipeline management, and enterprise negotiation.
Experience leading, building, and motivating top-tier sales teams in startup or high-growth contexts.
Strong technical acumen with the ability to translate value propositions to technical and non-technical stakeholders alike.
Desired Qualifications:
Previous startup or high-velocity, high-growth environment experience.
Background working with Fortune 500, public sector, or global enterprise accounts.
Experience recruiting, managing, and incentivizing quota-carrying sales professionals.
Familiarity with CRM and sales enablement tools (e.g., Salesforce, HubSpot).
Knowledge of data infrastructure, MLOps, or orchestration platforms is a major plus.
Minimum Education/ Certification Requirements:
Bachelor's degree required; Master's or MBA preferred.
