Level

Perplexity

Product Manager, Growth

Perplexity is hiring a Product Manager, Growth in San Francisco, United States. It pays $230k-$330k a year and Level rates it ; you can apply on Perplexity.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this AI product manager role: the daily work is on AI products, without building the model.
  • Pay on this posting starts 28% higher than the typical AI product manager posting on Level.
  • The posting mentions SQL, Eppoc and Statsig among its tools and skills.
  • Level classes it as a mid-level role.
  • Perplexity has 131 other open roles on Level.

AI in this role

Drive growth, activation, and agent-driven growth loops for an agentic AI product platform.

sqleppocstatsigoptimizely
product-managementgrowtha-b-testingexperimentationdata-analysissql

In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.

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. 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.

What you’ll do

  • Drive activation, repeat usage, and paid conversion across web, mobile, and desktop.

  • Build and iterate the levers that move them: upsells, onboarding, upgrade flows, lifecycle, and design new agent-driven growth loops.

  • Grow adoption of new products and cross-platform conversion: identify the optimal set of users, surfaces, and moments to introduce them, and drive repeat usage.

  • Ship a high volume of experiments, from hypothesis and metric design through analysis, and turn the learnings into roadmap bets that grow our metrics.

  • Analyze funnels, cohorts, and segments to find the highest-leverage opportunities and define the metrics behind them.

  • Protect product quality while improving conversion, holding guardrails on retention, support volume, and margin.

  • Write crisp specs and experiment briefs and drive execution across engineering, design, data, and marketing.

Qualifications

  • 2–4 years of total work experience with a strong academic record.

  • ~2 years in investment banking or consulting, followed by startup experience in a growth, product or founder role.

  • Fluent in SQL, comfortable with experiment design and statistical readouts.

  • Comfortable owning many parallel experiments and moving between analysis, spec-writing, and shipping in the same week.

  • Thrives in ambiguity where processes are still being defined.

Nice to have

  • Direct experience with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents).

  • Experience with subscription and usage-based billing products, paywalls, or paid upgrade experimentation.

  • Experience shipping across web and native mobile surfaces.

Our Mission

Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.

Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.

Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality.

Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.

Repeat. For curious people this is a cycle that never ends.

How we rate this

Product Manager, Growth at Perplexity rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Product ManagementGrowthA B TestingExperimentationData AnalysisSQLEppocStatsig

Also common in AI product manager jobs at this level

Pay

This job starts at
$230k
Typical AI product manager job
$180k

This posting starts 28% above the typical AI product manager job. See AI product manager jobs

Questions you could be asked

  1. Tell me about a project where product management was part of your work. What did you do?
  2. Tell me about a project where growth was part of your work. What did you do?
  3. Tell me about a project where a b testing was part of your work. What did you do?
  4. Tell me about a project where experimentation was part of your work. What did you do?
  5. Tell me about a project where data analysis was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Product Management, Growth, A B Testing, Experimentation, and Data Analysis. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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