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 the Enterprise Platform team builds the foundation that lets organizations bring that power to every employee with confidence, control, and scale.
Enterprise Platform is the team that brings Perplexity into the workplace. You’ll build user-facing products that help organizations adopt products like Computer in practical, everyday tasks, and also guide organization admins to onboard and enable their teams to use Perplexity products effectively.
Tech Stack: Python | Go | PostgreSQL | DynamoDB | AWS | TypeScript | React
Why Perplexity is differentCraftsmanship. 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.
Build intelligent products across onboarding, membership management, organization insights, permissions, subscriptions, billing, and usage controls.
Build systems that help organizations manage Perplexity at scale, from first setup through expansion, making it easier for admins to onboard teams, configure features, manage usage, and understand spend.
Collaborate closely with PM, Design, Data Science, Sales, and Enterprise customers to turn complex administrative, billing, and governance needs into simple, reliable product experiences.
Own critical platform primitives end-to-end, from frontend admin flows to backend services, data models, billing integrations, observability, and production operations.
4+ years of professional software engineering experience; we’re open to strong junior and mid-level candidates with a track record of shipping.
Backend / Full Stack engineering skills, with experience in designing and building scalable and reliable distributed systems, serving high traffic and a large user base.
Strong execution: you can take ambiguous product needs, break them down, and ship durable systems with clear customer impact.
Experience building product or platform features that require careful data modeling, state management, backend correctness, and high-quality user experience.
Strong product judgment; you can make complex admin, billing, and permissions workflows feel simple and intuitive.
Self-motivated with strong ownership instincts; you identify problems, propose solutions, and drive improvements without waiting for perfect specs.
Genuine interest in AI products and willingness to learn quickly.
Experience building enterprise SaaS products, admin consoles, membership systems, RBAC/permissions, or organization management features.
Experience with subscriptions, billing systems, or usage-based pricing.
Familiarity with security, compliance, or governance concerns in enterprise products.
Experience partnering directly with Sales, Finance, Support, or enterprise customers to solve high-impact product and platform problems.
Time spent at a fast-growing startup or on a high-ownership engineering team.
