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ElevenLabs is an AI research and product company that has raised $781M in funding with a $22B valuation. The company serves millions of users and thousands of businesses including Deutsche Telekom and Meta, with investors including Andreessen Horowitz, ICONIQ Growth, and Sequoia.
You will join as a Marketing Data Scientist supporting ElevenLabs' offline media and strategic marketing initiatives, including out-of-home (OOH) billboards, niche sponsorships, and experimental brand campaigns. Your core mission is to build measurement frameworks that determine whether channels without direct click tracking are actually driving business impact.
Key responsibilities:
- Design and execute measurement strategies for offline and out-of-home campaigns using geo holdout tests, matched-market tests, media mix modeling, and incrementality studies
- Partner directly with Marketing leadership to identify which niche channels, markets, and formats to test next, and quantify the investment size
- Build models that integrate offline spend data with digital and product signals to create a unified view of marketing effectiveness
- Collaborate with the Growth Data team's digital marketing data scientists to ensure offline and online measurement methodologies remain consistent
- Communicate measurement uncertainty honestly to stakeholders and translate strategic questions into testable hypotheses
The company operates with a high-velocity, impact-focused culture emphasizing rapid experimentation, lean autonomous teams, and minimal bureaucracy. They use AI across the entire organization and prioritize talent over location. Benefits include an annual professional development stipend, annual social travel stipend, monthly co-working stipend if not near a main hub, and annual company offsites.
REQUIREMENTS:
- Demonstrated experience measuring marketing effectiveness, ideally including offline, brand, or hard-to-track channels (OOH, TV, podcast, sponsorship, events)
- Strong SQL and Python skills with experience in causal inference, media mix modeling, or incrementality testing
- Comfort designing measurement without clean click-level signals and communicating uncertainty honestly
- Strong stakeholder management skills with Marketing and Brand leadership; ability to convert strategic questions into testable plans
- Structured thinking with comfort operating in ambiguity (this is a newer, less-defined function)
BONUS:
- Specific experience with OOH, billboard, or experiential campaign measurement
- Experience with media mix modeling tools or frameworks (Robyn, Recast, LightweightMMM, or similar)
- Experience partnering with brand or creative teams on niche or unconventional marketing bets
