Partner Manager & Sales Executive, Databricks

Resultant•Chicago, IL

6d•Hybrid

About The Position

Resultant is seeking a Partner Manager & Sales Executive with a strong background in the Databricks ecosystem and enterprise sales. This role involves owning the Databricks Commercial vertical, building relationships with clients and the Databricks field organization, and driving new bookings. The ideal candidate will be an experienced enterprise seller with a proven track record of achieving sales targets, closing complex deals, and operating with a strong understanding of sales methodologies and commercial procurement. This role also requires managing and developing Resultant's Databricks private-sector relationships, co-selling with Databricks and cloud partners, and representing Resultant in the market through events and thought leadership.

Requirements

8+ years of progressive enterprise sales and/or alliance management experience.
At least 5 years selling Databricks (or directly competitive data platform) solutions into commercial enterprises.
Experience in financial services, healthcare, manufacturing, retail, sports/entertainment, or gaming verticals.
Active Databricks ecosystem relationships (commercial field organization, SI partners, cloud marketplace teams at AWS, Azure, GCP).
Private-sector experience required.
Track record managing ISV or cloud partner relationships.
Consistent quota attainment of $3M+ in annual new bookings across multi-year tenure.
Practiced fluency in MEDDPICC, Challenger, and Strategic Selling (or other structured sales methodology).
Commercial procurement command (enterprise SaaS/services contracting, marketplace transactions, MSA/SOW structures, security review processes).
Bachelor’s degree required.

Nice To Haves

Experience with Databricks co-sell, deal registration, and partner program mechanics is strongly preferred.
Experience in Sports & Entertainment is a significant differentiator.
Familiarity with a comparable platform (Snowflake, GCP, Azure) from a go-to-market perspective.
Advanced degree in computer science, data science, business, or a related technical field.

Responsibilities

Own the Databricks Commercial vertical.
Build a named-account list of 25–50 target mid-market and enterprise commercial accounts.
Map key stakeholders (CDOs, CTOs, data engineering leaders, AI/ML heads, security leads, and procurement officers) in target accounts.
Originate qualified pipeline through personal network, Databricks field team engagement, Databricks Summit presence, cloud marketplace partnerships, and account-based outreach.
Own a quarterly pipeline contribution target.
Lead complex, multi-stakeholder sales cycles from initial conversation through contract close.
Engage Resultant’s Databricks engineering and solution architects early in pursuits.
Co-sell with Databricks and the cloud ecosystem (AWS, Azure, GCP).
Build joint pursuit plans with Databricks commercial field teams and cloud marketplace teams.
Operate within Databricks deal registration discipline.
Own Resultant’s Databricks private-sector relationships.
Build and maintain working relationships with Databricks private-sector field teams (AEs, SEs, practice leads).
Develop and execute a co-sell strategy with Databricks private-sector field teams.
Ensure Databricks private-sector sellers have current Resultant content, case studies, and contacts.
Represent Resultant in the market by attending and speaking at industry events.
Contribute thought leadership on enterprise AI and data platform modernization.
Build partner-facing collateral (one-pagers, case studies, reference stories).
Coordinate with Databricks enablement programs to advance Resultant’s partnership tier.
Align partner activity to active pipeline.