Senior AI Product Manager

Swayable•San Francisco, CA

2d•$170,000 - $200,000•Hybrid

About The Position

Swayable is hiring a Senior AI Product Manager to own a portfolio of product bets and features for its core content-testing product. The role is accountable for outcomes including adoption, usage, growth, and go-to-market success, taking product bets from prototype through research preview and beta and making evidence-based go/no-go decisions. The Product Manager will conduct in-depth research with existing and prospective users, build and test prototypes, and use evidence to iterate. They will partner with engineering to shape Swayable’s AI software factory, including agents, evaluation harnesses, workflows, and tooling that support the AI software development lifecycle. The role also involves designing and evaluating complex agents and bringing advances from the broader AI community into the organization. Swayable is a 50-person AI and automated data science company that measures public opinion and the impact of messages and advertising. Its work supports consumer brands, technology companies, academic researchers, and civic advocacy campaigns. This hybrid role is based in the Williamsburg, Brooklyn or San Francisco office, with in-office work three days per week.

Requirements

At least 5 years of relevant professional experience.
A bachelor’s degree in a related field.
Clear and effective written and verbal communication.
A track record of building trusted relationships with clients or users and turning firsthand context into products they adopt.
Experience recruiting users and conducting research to identify problems worth solving.
Evidence of rapid, empirical iteration, including testing prototypes with users, measuring results, and improving or quickly ending ideas.
Analytical and design thinking skills, including using data to understand problems and evaluate results, and applying design thinking to reframe problems and shape solutions.
Systems thinking across clients, users, product, data, and go-to-market.
Experience owning a product end to end, including operational workflows and sales or marketing enablement, with accountability for outcomes.
Demonstrated experience building LLM-based agentic systems, including evaluation frameworks, and integrating them into intelligent user experiences.
Strong analytical judgment, including framing questions, assessing analysis quality, identifying flaws in AI-generated analysis, and deriving decisions.
Passion for social impact and interest in scaling a platform that moves public opinion for good.

Nice To Haves

Experience owning a product line end to end, including go-to-market outcomes.
Experience at a high-growth technology startup.
Experience at a top-tier consulting firm or investment bank.

Responsibilities

Own a portfolio of product bets and features on the core product, prioritizing them against business objectives and being accountable for outcomes.
Take product bets through prototype, research preview, and beta; validate problems, size opportunities, build minimum lovable products, test willingness to pay, and make go/no-go decisions.
Build trusted client relationships, shadow teams, understand workflows, and identify unarticulated problems.
Recruit users beyond the client base and conduct interviews, contextual inquiry, and usability testing.
Rapidly prototype, test ideas with real users, and iterate based on evidence.
Design, build, and evaluate complex agents involving multi-step reasoning, tool use, and orchestration; integrate them into user experiences and define evaluation criteria and quality bars.
Partner with engineering to lead the AI software development lifecycle and build the AI software factory, including agents, evaluations, and tooling.
Use data and analytics to inform decisions and iterate quickly.
Partner with sales and customer success on go-to-market validation, positioning, pricing and packaging, launches, onboarding, and adoption.
Collaborate with engineering, design, data science, and customer success, prioritizing action over process.
Stay current with AI advancements and share knowledge with the organization.