Sr. Sales Executive owning revenue targets for LyftAds programmatic and agency partnerships. Build demand for mobility data & audience solutions, close complex deals with C-level agency contacts, influence product roadmap, and drive co-sells. Requires 8-12 years ad tech sales experience with programmatic/data focus.
143k – 179k
Hybrid8+ YOEAccount Executive
About the role
Responsibilities
Own a revenue number across a defined book of Agency Hold Co’s and programmatic demand partners (DSPs, trading desks)
Develop and execute a sales strategy for LyftAds data & audience solutions, not just respond to RFPs, but actively create demand
Build and maintain C-level and VP-level relationships across programmatic, video, and investment teams at agencies
Lead complex, multi-stakeholder deal structures including PMPs, data partnerships, audience activation, and measurement partnerships
Serve as the voice of the customer internally, translate market feedback into product roadmap priorities with Ads Product and Product Marketing teams
Partner with Brand Sales on joint go-to-market opportunities - drive co-sells
Develop thought leadership narratives and sales materials that differentiate LyftAds in a competitive mobility data landscape
Own pipeline rigor: forecasting, deal progression, CRM hygiene, and reporting to senior leadership
Requirements
8–12 years in ad tech, agency, or platform sales — with meaningful time in programmatic or data partnerships
Demonstrated ability to build net-new revenue, not just manage inherited books
Fluent in DSP/SSP dynamics, PMP deal structures, CPM/CPL pricing, and data onboarding workflows
Has sold data or measurement solutions, not just media inventory
Experience influencing product and go-to-market strategy at a startup or scaled platform
Strong executive presence — comfortable presenting to CMOs, agency GMs, and investment leads
Analytical — can build a business case, model revenue scenarios, and tell a compelling data story
Nice-to-Haves
Experience at the intersection of mobility, location data, or commerce/retail media
Has operated in a startup or early-stage team where ambiguity is the norm
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