Member of Technical Staff (Software Engineer, Enterprise Platform)

Full Stack Engineer · Mid · Full Time

San FranciscoUSD 220k – 405k1mo ago
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Role

What you'll do.

Perplexity AI is seeking a Member of Technical Staff (Software Engineer) for their Enterprise Platform team in San Francisco. The role focuses on building scalable enterprise solutions that enable organizations to leverage Perplexity's AI technologies, with a strong emphasis on creating intuitive admin tools, platform features, and robust distributed systems.

Responsibilities

  • Enterprise Platform Development: Build intelligent products for organization onboarding, membership management, and usage controls
  • System Architecture: Design and implement scalable backend services and data models
  • Cross-Functional Collaboration: Work closely with Product Management, Design, Data Science, and Sales teams to deliver enterprise solutions
  • Product Experience: Create intuitive admin flows and simplify complex administrative workflows

Qualifications

What we look for.

Technical

  • Backend Skills

    Proficiency in designing scalable distributed systems

  • Full Stack Capabilities

    Experience with both frontend and backend development

Education

  • Computer Science

    Bachelor's degree or equivalent practical experience

Experience

  • Professional Experience

    4+ years of professional software engineering experience

Skills

Required

  • Backend Engineering

    Experience designing and building scalable distributed systems

  • System Design

    Ability to create robust and reliable backend services

  • Product Development

    Capability to transform complex requirements into intuitive user experiences

Preferred

  • Enterprise SaaS

    Nice to have

    Experience with admin consoles, membership systems, and organization management features

  • Billing Systems

    Nice to have

    Knowledge of subscription and usage-based pricing models

  • Enterprise Security

    Nice to have

    Understanding of compliance and governance concerns

Tech stack

Languages

PythonGoTypeScript

Frameworks

React

Databases

PostgreSQLDynamoDB

Tools

AWS

Other

Distributed Systems

Compensation

Pay and benefits.

Base·USD 220,000 – 405,000

Equity·Stock options

Benefits

  • Competitive Compensation

    Salary range of $220K-$405K with equity options

  • Innovative Work Environment

    Opportunity to work on cutting-edge AI technologies

  • High-Ownership Culture

    Entrepreneurial environment with significant individual impact

Process

Interview steps.

  1. 01

    Initial Screening

    Resume and background review

  2. 02

    Technical Phone Screen

    Discussion of engineering experience and technical skills

  3. 03

    Technical Interview

    In-depth assessment of system design and coding abilities

  4. 04

    Onsite/Virtual Interviews

    Multiple rounds with engineering team members and leadership

Full posting

Original listing.

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 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

  • 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.

Qualifications

  • 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.

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