Product Manager, Perplexity

• 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
• 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
• 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
• Extremely analytical. Fluent in SQL, comfortable with experiment design and statistical readouts
• 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
• 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
• Bias to action, low ego, high ownership. Thrives in ambiguity where processes are still being defined

Desirable

• 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