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Perplexity Jobs (NOW HIRING)

Perplexity

Product Manager (Builder)

San Francisco, CA · On-site

Perplexity is looking for product managers to join a highly leveraged, small team for building new products that innovate to accelerate human productivity. The role involves working closely with ...

Perplexity

Sales Enablement Lead

New York, NY · On-site

$230K - $290K/yr

Perplexity is seeking its first Sales Enablement hire to build the function for our Enterprise, Commercial, and BDR teams. Our sales org is growing quickly and selling a product that evolves almost ...

Perplexity

Senior Corporate IT Engineer

San Francisco, CA · On-site

$150K - $230K/yr

At Perplexity, we're changing how the world finds answers. In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform ...

Perplexity

Sr. Technical Sourcer

San Francisco, CA · On-site

$150K - $185K/yr

At Perplexity AI, we are building products that push the boundaries of how people find, reason, and learn information. The scale and speed of our mission demand a team that thrives in environments of ...

Perplexity

Product Marketing Manager, API

New York, NY · On-site

$220K - $290K/yr

Perplexity is revolutionizing how companies get work done, and increasingly, how developers build the next generation of AI-native products on top of our search and answer infrastructure. We are ...

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Perplexity information

What is a perplexity job?

Perplexity jobs typically refer to roles at Perplexity AI, a company specializing in artificial intelligence-powered search engines and conversational AI tools. Employees may work in a variety of positions such as software engineering, research, product management, and data science. Perplexity AI is known for its focus on creating advanced, user-friendly AI systems that help people access and understand information more easily. Working at Perplexity often involves collaborating on innovative projects, leveraging the latest AI technologies, and contributing to the development of cutting-edge products in the AI space.

What are the key skills and qualifications needed to thrive as a Perplexity AI Engineer?

To thrive as a Perplexity AI Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree and hands-on project experience. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and version control systems like Git is essential. Strong problem-solving abilities, collaboration, and effective communication help you excel in multidisciplinary teams and adapt to evolving technologies. These skills are crucial for developing advanced AI solutions and ensuring they perform reliably and ethically in real-world applications.

What are the common challenges faced by a data scientist when working on machine learning projects within a cross-functional team?

Data Scientists often encounter challenges such as aligning project goals across departments, ensuring data quality, and effectively communicating complex technical concepts to non-technical stakeholders. Collaborating with product managers, engineers, and business analysts requires strong interpersonal skills and adaptability. Additionally, balancing experimentation with project deadlines and integrating models into production systems are key hurdles. Navigating these challenges successfully can lead to impactful solutions and professional growth.
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Perplexity jobs near you
Infographic showing various Perplexity job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 96% Full Time, 1% Part Time, and 2% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution.

Member of Technical Staff (iOS Engineer, Computer Growth)

Perplexity

New York, NY • On-site

$220K - $405K/yr

Full-time

Posted 10 days ago

Job description

In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and a growing share of them meet us first on their phone. The Growth team owns the product loops that help people discover, adopt, and build lasting habits around our most important AI experiences - and on mobile that means owning everything from the App Store listing to the first task a user finishes to the moment they upgrade.
As a mobile growth engineer at Perplexity, you'll work across the full mobile funnel - install, activation, onboarding, push and lifecycle messaging, conversion, retention, and in-app purchase moments - for Perplexity, Comet, and Computer on iOS. Engineers are responsible for end-to-end projects: rebuilding onboarding as a series of experiments, wiring in-app purchase and paywall surfaces to our billing systems, shipping notification experiences people actually keep enabled, and turning ASO and deep-link work into measurable adoption.
Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product - we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end, while respecting the constraints mobile brings: release cycles, store review, and version fragmentation.
Why Perplexity is different
  • Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
  • Ownership. You identify the problem, design the solution, and ship it.
  • Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
  • Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
  • Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
What you'll do
  • Design, build, and own growth surfaces across the mobile funnel - install, activation, onboarding, lifecycle, conversion, retention, and paid upgrade moments - on iOS.
  • Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel despite app release cadence. Build the flag-driven and server-driven patterns that let us test without waiting on a store release.
  • Own in-app purchase and paywall surfaces: billing integrations, subscription and credit purchase flows, entitlement correctness, and pricing and packaging experiments.
  • Build push and lifecycle notification experiences that earn their opt-in - permission prompts, targeting, timing, deep links back into the right task, and the instrumentation to prove they drive retention rather than churn.
  • Make cross-platform surfaces feel native. Partner with web and design engineers so onboarding, upsells, and in-task nudges are consistent across web, iOS, and Android
  • Partner with rest of Growth to optimize app store performance and attribution
  • Hill-climb on the metrics that matter: install-to-activation, D1/D7/D30 retention, notification opt-in and engagement, paid conversion, and habit formation, instrumented with clean data and trustworthy experiment readouts.
  • Partner closely with Product, Design, Data Science, Monetization, Marketing, and the core Mobile team to translate behavioral signals into durable product surfaces.
Qualifications
  • 3+ years of professional mobile engineering experience shipping consumer apps at meaningful scale on iOS.
  • Strong native skills (eg. Swift/SwiftUI/Objective-C) - and the willingness to flex into other parts of the stack to unblock yourself and others.
  • Experience owning a full release cycle: build and release tooling, phased rollouts, store review, crash and regression monitoring, and rolling back safely.
  • Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome.
  • Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents) especially inside a versioned app.
  • Comfort data-informed decision-making - you can pull, segment, and interpret your own funnel data.
  • Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions.
  • Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission.
  • Genuine interest and adoption of AI products and willingness to learn quickly.
Nice to have
  • Direct experience on a growth or experimentation-heavy team
  • Deep experience with in-app payments
  • Experience with mobile attribution and measurement stacks (AppsFlyer, Adjust, Branch) and paid mobile acquisition.
  • ASO experience, including store listing experiments and localized metadata.
  • Comfort reaching into the backend or web stack to unblock yourself end-to-end.
  • Time spent at a fast-growing startup or on a high-ownership engineering team.

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