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Data Acquisition Lead

Full-time On-site work

Publication date: 07/11/2026

Profound is the fastest-growing AI marketing platform. As Data Acquisition Lead, you will own the sourcing, evaluation, and commercial management of our data sources, build a reliable supplier and partner portfolio across various data providers, and partner closely with Engineering, Product, Partnerships, Finance, and Legal. This is an on-site role based in the Union Square, NYC office.

Responsibilities

Find and qualify providers and partners against coverage, quality, capacity, and cost requirements; Structure vendor trials, run benchmarks using internal tooling, and analyze results by source, geography, and workload; Compare effective costs across pricing models, including retries, failures, minimum commitments, and overages; Negotiate pricing, service commitments, support arrangements, renewals, and exit terms; Maintain qualified alternatives and identify overlapping infrastructure or correlated failure risks across suppliers; Lead vendor performance reviews and recommend expansion, replacement, or changes in allocation; Coordinate onboarding and sourcing documentation with Engineering, Finance, and Legal; Own vendor contracts and spend, and keep a clear record of vendor status, pricing, and decisions; Partner cross functionally to resolve provider issues quickly; Help build and scale the data acquisition team as Profound grows

Requirements

5+ years of hands-on experience with external data or web data providers and partners, on either the vendor or customer side (e.g. sourcing and managing providers, solutions engineering, or technical account management); Strong commercial judgment, with examples of negotiations and measurable operating improvements; Familiarity with data contract terms such as DPAs, usage rights, and indemnification; Ability to use SQL and/or Python to inspect results, run evaluations, and challenge vendor claims; Practical understanding of various data provider types, web data APIs, various data collection schemes, and common failure modes; Evidence of introducing a working alternative provider or improving coverage, reliability, or effective cost; Excited by the opportunity to own and shape a new function at an early stage; Comfortable in a fast-moving culture with autonomy, trust, and room to grow; Drawn to competitive compensation and meaningful equity

Nice to have

Experience with unique data sets

Benefits

Equity; full range of benefits and perks; visa sponsorship support for qualified international candidates
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