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Swayable

Senior AI Product Manager

San Francisco, CA or New York, NY; New York; San FranciscoUnited States
Senior · Product
POSTED 6 JAN
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Role
306 days opentrue age
Posted 6 Jan
Pay
$189k–$228kno pay posted
Market p25–p75
$189k–$228k
SF Bay Area · n=147 · 365d to 6 Nov
CompanySwayable →
16open roles
Opened · 30d
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Closed · 30d
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2,299open · Senior Product
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8,151open
All tracked boards · live 9 Nov · n=2,299
Visa
3H-1B LCAs · FY25
Median wage
$265k
LCAs FY25 · n=3 · to 2025-08-20
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Location: This role is hybrid in-office 3x a week out of our Williamsburg, Brooklyn or SF offices!

About Swayable

Swayable is a fast-growing AI and automated data science platform that measures public opinion, and the impact of messages and advertising content on it. We are a 50-person team backed by top technology and social impact investors, including Y Combinator. Founded in 2018 by physics PhDs, it is led by the former Executive Director for Digital Strategy at the New York Times. Clients include major consumer-facing brands (JP Morgan Chase, Airbnb, Paramount Pictures), technology companies (Anthropic, Meta, Amazon), academic researchers (MIT, Yale, Stanford) and mission-aligned civic advocacy campaigns (e.g. on climate, human rights and elections). Check our our values & culture deck to learn more: https://tinyurl.com/4zjchwzs

Joining Swayable means being on a team whose work changes the course of history. The technology we develop is at the leading edge of transforming some of the world’s most important campaign organizations and enterprises: combatting disinformation, protecting democracy, and supporting the sustainable growth of consumer-facing brands.

About the Role

You’ll own a portfolio of product bets—new capabilities we’re investing in to expand what the Swayable platform does and deepen its value to clients—along with a set of features on our core content-testing product. You’ll bring a general manager’s mindset: you’re accountable not just for shipping, but for adoption, usage, growth, and go-to-market success—taking each bet from prototype to research preview to beta, and making clear, evidence-based go/no-go calls along the way.

Great product starts with deep client understanding and rigorous user research. You’ll earn the kind of trust where clients invite you to shadow their teams, and you’ll recruit and research users beyond our existing clients to find the problems worth solving. From there, you’ll build and test prototypes quickly—starting with what works, putting it in front of real users, measuring, and iterating.

You’ll lead how we build: partnering with engineering to shape Swayable’s AI software factory—the agents, evaluation harnesses, workflows, and tooling behind our AI software development lifecycle—so the whole team ships faster without sacrificing architectural integrity.

You’ll also bring ideas from the broader AI community—identifying groundbreaking techniques, sharing them internally, and keeping Swayable at the cutting edge of applied AI.

What You'll Do

  • Own a portfolio of product bets plus features on the core product. Prioritize them against the company’s business objectives, and own outcomes, not just delivery.
  • Take each bet through prototype, research preview, and beta: validate the problem, size the prize, build a minimum lovable product, test willingness to pay, and make a clear go/no-go call at each gate.
  • Build trust-based relationships with clients deep enough to shadow their teams, understand their workflows firsthand, and identify problems they haven’t yet articulated.
  • Recruit users beyond our client base and run your own research—interviews, contextual inquiry, usability tests—to understand their problems with the same depth.
  • Rapidly prototype, test ideas empirically with real users, start with what works, and iterate based on evidence.
  • Design, build, and evaluate complex agents—multi-step reasoning, tool use, orchestration—and integrate them into intelligent, intuitive user experiences. Define evals and quality bars, and drive continuous improvement in output quality.
  • Lead the AI software development lifecycle with engineering, including building Swayable’s AI software factory: the agents, evals, and tooling that accelerate how we build every product.
  • Use data and analytics to inform decision-making and iterate quickly.
  • Partner with sales and customer success to drive go-to-market —validation, positioning, pricing and packaging, launch, onboarding, and adoption.
  • Collaborate tightly with engineering, design, data science, and customer success—prioritizing action over process.
Source · SwayableFirst seen 6 NovOriginal ↗