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Perplexity AI

Product Manager (Growth)

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Description

  • Product Managers at Perplexity work closely with design and engineering, focusing on the product systems and experiences that help more people discover, adopt, and get lasting value from Perplexity
  • Own the upsell roadmap: build new upsell levers and iterate relentlessly on existing ones to drive our metrics forward
  • Run onboarding experiments that get new users to a first successful outcome faster, from signup and intent routing to first-session guidance
  • Build personalized recommendations that drive deeper usage: connector recommendations, follow-up suggestions, and segment-aware surfaces
  • Own the upgrade flows that drive paid conversion, free to paid, plan upgrades, and paid credit purchases
  • Drive adoption of new Computer features as they launch: decide who sees what, when, and through which surface, and measure whether adoption turns into retention and paid usage
  • Drive cross-device conversion: get web users onto the mobile and desktop apps (and back) through in-product prompts, lifecycle messaging, and onboarding
  • Analyze funnels, cohorts, and segments to find the highest-leverage opportunities; define metrics, denominators, and cohort windows
  • Hold guardrails on retention, support volume, and margin; improve conversion without degrading the product
  • Write crisp specs, tickets, and experiment briefs; coordinate execution across engineering, design, data, and marketing
  • Ideal candidates combine product intuition with analytical rigor: in the application, please highlight the growth problems, experiments, or loops you are most proud of building
  • The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and a willingness to reimagine work to be more efficient and creative
  • 2–4 years of total work experience with a strong academic record
  • ~2 years in investment banking, strategy consulting, or a comparable high-intensity analytical role, followed by operating experience — a growth or product role at a startup, or founding your own company
  • Strong product taste. You can tell the difference between an upsell that helps a user and one that annoys them, and you care about the second-order effects of what you ship
  • High velocity. Comfortable owning many parallel experiments and moving between analysis, spec-writing, and shipping in the same week
  • Extremely analytical. Fluent in SQL, comfortable with experiment design and statistical readouts
  • Bias to action, low ego, high ownership. Thrives in ambiguity where processes are still being defined
  • Segment-native. You think in user journeys, personas, and behavioral triggers, and you know a lift on the average can hide a loss on a segment
  • Direct experience with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents)
  • Experience shipping across web and native mobile surfaces
  • Experience with subscription and usage-based billing products, paywalls, or paid upgrade experimentation

Skills

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See also

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