About The Position

We're hiring Staff PMs to own major surfaces of Babylist's consumer experience and to set the bar for what an AI-native PM looks like at scale. You will be the durable product owner of a major Babylist surface or core customer journey end-to-end — the person the rest of the company looks to when a hard question about that surface has to get answered. You hold the quality bar, set the strategy on a one-year horizon, and operate as the foremost expert on your space inside the company. You also build. You can stand up working prototypes, query the data and codebase, and contribute to code execution when that’s the most valuable use of your time. You value speed – of decision making, of execution, and in time to impact. And you will help Babylist make the transition into AI-native product development by setting the standard others adopt: in your own work, in the standards you hold for your team, and in the rituals you help build into the function. We are building AI fluency across the consumer organization. Where you land depends on the org's needs at the time of your start and on where your strengths fit best. We want operators who can take real ownership of any surface areas or customer journeys, be opinionated enough to argue for what's right, and humble enough to ramp fast on whichever one we land you on. This role reports into one of our Product Directors and partners closely with stakeholders across the company.

Requirements

  • Demonstrated product leader with experience owning a major consumer product surface end-to-end at meaningful scale.
  • Proven record of defining product strategy, creating impact, leading cross-functional teams in execution, and working with exec-level leaders to solve complex problems for consumer products.
  • Held Senior PM, Staff PM, GPM, or Director roles.
  • Strategic foresight: Ability to articulate future product states (6, 12, 18 months) and define the path to achieve them.
  • Strong, opinionated view of the product and the ability to update priors based on new information.
  • Deep customer expertise: Genuine strength in understanding and co-creating with users, bringing deep curiosity and customer obsession to decisions.
  • Ability to bring concrete evidence (qualitative and quantitative) into decisions, solving root pain rather than symptoms, and creating segmentation clarity.
  • Product sense: Instinct for what's worth building, the right UX, and what will delight users, with shipped work and killed projects as proof.
  • Commercial ownership: Fluency in business, understanding of monetization, ability to defend unit economics models, and comfortable partnering with finance and data teams.
  • Outcome ownership: Accountability for delivering meaningful results, building appropriate measures of success, and leading clean persist/pivot/stop decisions post-launch.
  • Clarity of thought: Extreme clarity in communication that moves conversations forward fast, encouraging productive conflict and surfacing misalignment early.
  • Quality and craft as standards: Owning the quality bar for the surface and the principles for others to build by.
  • Technical fluency: Demonstrated understanding of feasibility, tradeoffs, and getting real products into the world, potentially through a CS degree, prior developer experience, or early-stage company experience.
  • Adaptability to change: Selecting for change, working across team boundaries and roles without waiting for permission, being humble, low-ego, and biased toward action.
  • AI-native: Actively using LLMs and AI coding tools in daily work, with intuition for model capabilities, problem decomposition for AI, output refinement, and combining AI speed with human judgment.
  • Ability to contribute as a peer-builder while maintaining strategic focus and customer proximity.
  • Excitement about the AI transformation and a desire to shape an AI-first product organization.

Nice To Haves

  • CS degree or started career as a developer.
  • Early PM at an early-stage company where product and build lines were blurred.
  • Portfolio of self-taught skills demonstrating building capabilities.

Responsibilities

  • Own a major consumer surface or core customer journey end-to-end. Strategy, KPIs, quality bar, impact, the hard tradeoffs. You are the person the rest of the company looks to when a question about that surface has to get answered.
  • Set the one-year horizon. Articulate where your surface should be a year from now, defend the sequence of bets that gets it there, and update with conviction & speed when evidence or business needs change.
  • Set the quality bar and the AI-native PM bar. Make the hard tradeoffs between business goals and customer trust. Model what AI-native PM craft looks like at Babylist and help define the rituals others adopt.
  • Operate as a peer-builder. Use AI-native workflows in your own work. Ship things yourself when shipping yourself is the fastest path to the right answer.
  • Be a force multiplier. Bring sharper problem framing, tighter customer insight, data analysis, and prototypes that make decisions easier to make. Don’t just ship fast yourself, design the repeatable, low-friction systems that let everyone on your team ship faster.
  • Be a flexible operator. Whatever the opportunity, you ramp fast, partner well, and own outcomes.
  • Mentor and develop the PMs around you. Help raise the bar for the function. Give specific, timely feedback that improves the team's output. Contribute to hiring and to the shape of the product organization as it evolves.

Benefits

  • Company-paid medical, dental, and vision insurance
  • Retirement savings plan with company matching
  • Flexible spending accounts
  • Generous paid parental leave
  • Generous PTO
  • Winter Wonder Week: the whole company takes a paid week off at the end of the year
  • Remote work stipend to set up your office
  • Perks for physical, mental, and emotional health, parenting, childcare, and financial planning
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