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Outset AI

Program Manager - Research Operations

Posted An Hour Ago
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Hybrid
New York, NY, USA
150K-200K Annually
Senior level
Hybrid
New York, NY, USA
150K-200K Annually
Senior level
Own and scale Outset’s participant recruitment system across partners, internal processes, and product experiences. Manage vendor performance, negotiations, feasibility, quality, fraud prevention, and recruitment workflows. Build benchmarks, playbooks, training, customer-facing content, and internal tooling while partnering with Product and Engineering to improve recruitment capabilities. The role requires independent program leadership, cross-functional coordination, and deep expertise in digital qualitative research recruitment.
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Outset invented a better way to do research: AI-powered user interviews.

Global brands like Hubspot, Microsoft, Uber and Nestle use Outset to achieve deeper, qualitative insights about their users at unprecedented speed and scale.

The research industry is massive (>$140B and growing) and ripe for disruption. Incumbents are outdated, slow, and burdened by high-cost services. That's our opportunity.


Outset is backed by top Silicon Valley investors and raised a $30M Series B in December 2025—less than six months after our Series A—led by Radical Ventures with participation from M12 (Microsoft’s venture arm), 8VC, Y Combinator, and Adverb Ventures.

The raise follows a breakout year, with our business growing 8x as enterprise customers across industries adopt our category, AI‑moderated research, as the new standard for understanding people.

We’re a tight-knit team serving some of the world’s largest enterprises.

Participant recruitment at Outset spans a global partner network, internal process, and the product experience itself — and this role owns all three. Rather than running recruitment study by study, you'll build the system that makes it predictable at scale. You'll be Outset's authority on recruitment: the connective tissue between our partners, our teams, and our product.

Responsibilities

  • Own partner performance and communication, with a system to assess and continually optimize each partner's quality, reliability, and best-fit use cases.

  • Negotiate preferred rates and commercial terms, and build the feasibility process (incidence rates, targeting, which vendor for which use case) that keeps recruitment predictable as volume grows.

  • Design and document the end-to-end recruitment process, from intake through delivery — with fill-time benchmarks by audience/screening criteria and a clear playbook for tracking and escalating at-risk projects.

  • Build the internal enablement and training that gets the GTM team up to speed and confident in how recruitment works.

  • Partner with Product and Engineering on the recruitment experience — fraud detection, identity verification, quality flagging, refunds — bringing structured, evidence-backed problems into the product roadmap.

  • Identify and spec internal tooling that reduces manual ops work.

  • Translate how recruitment works into content for two audiences: best-practice guidance for Account Directors/AEs, and customer-facing explanations of our role, our partners' role, and what to expect.

Qualifications

  • 5–10 years in research operations, participant recruitment, or panel/vendor management, with deep expertise in digital qualitative recruitment; experience with quantitative recruitment is a plus

  • Hands-on understanding of how participant recruitment actually works: panels and marketplaces, screeners, incidence and feasibility, soft launches, quotas, incentives, fraud, and quality control.

  • Track record managing vendors and partners — selecting, negotiating, holding accountable, managing spend.

  • Genuine program management ability — you can hold a messy, cross-functional problem in your head, sequence it, and drive it to a working system.

  • Experience at both a large organization and a startup. We want the enterprise process instincts and the scrappiness to build fast without waiting for permission.

  • Strong communicator — able to distill complex, cross-functional information into clear training, documentation, playbooks, and customer-facing content.

  • Comfortable with AI tooling for content and automation; experience building AI tooling/dashboards a plus.

  • Highly independent — this role is built for someone who defines priorities as much as executes them.

  • Bonus: experience at a research platform, panel provider, or research agency.

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