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Member of Technical Staff (Software Engineer, Enterprise Platform)

San Francisco💼 Full-time🗓 2026-06-03 → 2026-07-31

Core

Build user-facing products and systems that help organizations adopt Perplexity's agentic AI products (like Computer) for practical everyday tasks, focusing on onboarding, membership, permissions, and billing.

Role type

Senior Full Stack Software Engineer (Enterprise Platform)

Builds

Intelligent products for organization admins to onboard teams, manage usage, configure features, and control spend for Perplexity products.

Domain

Enterprise SaaS / Agentic AI / B2B Platform

Deliverable

product features

Required skills

Backend/Full Stack engineering, distributed systems design, data modeling, state management, product judgment, self-ownership

Preferred skills

Enterprise SaaS admin consoles, RBAC/permissions, subscriptions/billing systems, security/compliance, partnering with Sales/Finance

Technologies

Python, Go, PostgreSQL, DynamoDB, AWS, TypeScript, React

Responsibilities

Build intelligent products across onboarding, membership management, organization insights, permissions, subscriptions, billing, and usage controls; Build systems helping organizations manage Perplexity at scale; Collaborate with PM, Design, Data Science, Sales, and Enterprise customers; Own critical platform primitives end-to-end from frontend admin flows to backend services and production operations.

Seniority

Senior, hands-on IC

Rewrite
## Responsibilities - 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. ## Requirements - 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. ## Nice to Have - 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. ## Benefits - 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.
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