The ad says“Direct experience with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents)”
The ad says“Extremely analytical. Fluent in SQL, comfortable with experiment design and statistical readouts”
The ad says“Direct experience with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents)”
The ad says“Extremely analytical. Fluent in SQL, comfortable with experiment design and statistical readouts”
The ad says“Extremely analytical. Fluent in SQL, comfortable with experiment design and statistical readouts”
The ad says“Experience with subscription and usage-based billing products, paywalls, or paid upgrade experimentation”
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
Preferred experience
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