VP / Director, Business Development, CTV Content Intelligence

business developmentprogrammaticCTVad techSSPDSPcontent intelligencecommercial leadershippartnershipsgo-to-marketsalesproductintegration

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Years experience

5-10

Location

New York, US

Full job description

Seeking a VP or Director of Business Development for CTV Content Intelligence to lead commercial expansion of Pixalate’s CTV content measurement and analytics products. Senior individual contributor reporting to CEO. Responsibilities include scaling go-to-market partnerships, driving strategic integrations with SSPs, DSPs, and agency buyers, developing commercial models, defining value propositions, collaborating with product and engineering on requirements, building GTM playbook, representing company at industry events, and reporting on progress. Requirements: 8-15 years in business development or commercial leadership in ad tech, CTV/streaming measurement, or advanced TV; deep knowledge of programmatic CTV ecosystem; experience managing SSP/DSP data partnerships; prior experience at data, measurement, or programmatic infrastructure companies; proven track record launching new products; existing VP or C-level relationships in SSPs, DSPs, and agencies; comfortable with technical product discussions; highly self-directed.

What you'll do

Scale go-to-market partnerships and drive strategic integrations with highly selective, technically sophisticated partners across the programmatic CTV supply chain — with a focus on SSPs as the primary near-term priority, followed by DSPs and agency buyers
Identify, evaluate, and close high-value SSP integration partnerships, establishing Pixalate as a key content intelligence layer across programmatic CTV supply paths
Develop and grow a portfolio of enterprise partnerships with DSPs and agency trading desks, structuring agreements that include access terms, technical integration commitments, and clear commercial pathways
Develop the commercial model for CTV Content Intelligence from the ground up — pricing architecture, packaging tiers, segment licensing economics, API access model, and SSP revenue share structures
Define and document the value proposition for each target buyer segment — SSPs, DSPs, agency trading desks, independent agencies, brands, and publishers — in collaboration with product and marketing
Work closely with product and engineering to translate partner and market feedback into product requirements and ensure integrations are technically feasible within the roadmap
Build the GTM playbook for the broader sales organization, including ideal customer profile, buyer personas, objection handling, competitive positioning, and deal structure
Represent Pixalate at industry forums and key CTV industry events to establish CTV Content Intelligence as a market-standard product
Report directly to the CEO on partnership pipeline, integration progress, commercial model evolution, and GTM performance

Requirements

8–15 years of experience in business development or commercial leadership within ad tech, CTV/streaming measurement, or advanced TV
Deep knowledge of the programmatic CTV ecosystem — supply chain dynamics, SSP and DSP relationships, audience measurement, and content transparency
Demonstrated experience closing or managing SSP or DSP-level data partnerships, including segment licensing, supply path integrations, or data syndication agreements
Prior experience at a data, measurement, or programmatic infrastructure company — SSP, DSP, measurement, identity, verification, or similar
Proven track record of taking a new product or product category to market from an early stage — not only managing existing partnership books
Existing relationships at the VP or C-level across SSPs, DSPs, and major agency holding company trading desks
Comfortable in technical product conversations with engineering and product leadership as well as external technology counterparts at SSPs and DSPs
Highly self-directed; able to operate effectively with limited infrastructure and a high degree of ambiguity