Marketing Science Lead
AgentioNew York, NYPosted 26 March 2026
Job Description
Marketing Science Lead
ABOUT AGENTIO
Agentio enables marketers to buy creator led ads as easily and scalably as Meta or Google ads—automating sourcing, pricing, contracting, delivery, and measurement—so work that took months now happens in minutes.
We’re on a mission to transform a $800B digital ad ecosystem by shifting digital ad spend into the hands of creators. That means better outcomes for marketers and enabling creators to live off their work—finally being paid in proportion to the value they create. That shift is accelerating: Unilever’s CEO has said the company will move roughly half of its ad budget into social and creators—Unilever is among the world’s largest advertisers, spending around $9–10B annually. As these dollars move, they need performance-grade pipes; Agentio is how those dollars flow to creators with the speed, control, and measurement marketers expect. We enable brands like Uber, DoorDash, and Bombas to run creator campaigns with the same rigor, control, and accountability as their core performance channels.
Agentio has raised $56M to date at a $340M valuation, including a recent Series B led by Forerunner https://techcrunch.com/2025/11/18/agentio-secures-40-million-from-forerunner-as-it-scales-its-creator-marketplace-beyond-youtube/, which followed our Series A within a calendar year. Our investors also include Benchmark, Craft, and AlleyCorp. Agentio has been named to Forbes’ Next Billion Dollar Startups, 2025 https://www.forbes.com/sites/amyfeldman/2025/08/12/next-billion-dollar-startups-2025/, and our platform is already used and loved by the world’s leading marketers and creators. We are just getting started!
ABOUT THE ROLE
Agentio is seeking a Marketing Science Lead to establish our measurement practice as we scale creator marketing as performance infrastructure for brands. As the creator economy matures from experimentation to essential layer, advertisers need rigorous frameworks to measure ROI and optimize creator investments. You'll be the analytical architect who defines how clients measure success, influences what we build, and shapes industry standards for creator marketing effectiveness.
WHAT YOU'LL DO
- Define the Standard for Creator Performance: Act as the chief architect for how the industry quantifies creator marketing. You will establish the frameworks that integrate Agentio into the world’s most sophisticated Marketing Mix Models (MMM), ensuring our platform is recognized as essential infrastructure, not just another social channel.
- Become a Trusted Advisor: Partner with the most sophisticated marketers in the world (e.g., Uber, DoorDash, Mint Mobile) to design bespoke measurement strategies. You will build high-level credibility as their go-to consultant for incrementality, brand lift, and sales attribution.
- Drive the Global Measurement Roadmap: Partner deeply with Product and Engineering to translate complex client needs into a world-class measurement suite. You will anticipate where the industry is headed and build the "performance-grade pipes" to get there.
- Establish the Agentio Intelligence Engine: Lead the effort to transform raw campaign data into proprietary market intelligence. You will conduct high-level meta-analyses and causal inference studies to develop the playbooks that prove how creator marketing drives outcomes across Retail, CPG, and App-Gen verticals.
- Scale the Practice: Develop the operational standards, playbooks, and benchmarks that will allow the measurement function to scale alongside our rapid revenue growth.
YOU
- The Profile: You have 7–10+ years of experience in marketing analytics, measurement science, or ad-tech consulting. You’ve likely led measurement for a major platform or a sophisticated performance-driven brand.
- Measurement Architect: You possess deep expertise in the "holy trinity" of modern measurement: MMM, Incremental Lift testing (RCTs/Geo-testing), and Multi-Touch Attribution. You don't just use these tools; you under ... (truncated, view full listing at source)
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