Skills

Full description

As an engineer on the Integrations team at Perplexity, you’ll define the technical direction of products that connect Perplexity to workflows across multiple verticals and work full-stack to build these applied AI systems
You’ll move quickly, owning outcomes end-to-end, and building useful products people reach for every day
Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS
Build agentic apps, features, and workflows that make Perplexity a daily driver for users
Lead vertical-specific products and AI-powered experiences like a Personal CFO and Email Assistant, turning connected data into reliable, high-impact tools people want to use every day
Own the data backbone of pipelines, infrastructure, and connectors that bring user and enterprise data to agents and products at a 99.9% reliability bar
Drive end-to-end projects across the full stack, running experiments in parallel and hill-climbing on adoption, retention, and revenue
Set technical direction, mentor engineers, and partner with AI, Design, Data Science, and Infra to ship products that don’t exist anywhere else

6+ years of professional software engineering experience, with a track record of rapidly shipping complex products end-to-end
Experience mentoring engineers and raising the technical bar of a team
Strong execution: you ship many products and experiments in parallel and drive each to a measurable result
An “extra zero” mindset: you aim for outcomes that are 10x, not 10%, and own the result end-to-end
Strong product judgment; you translate user behavior and product opportunities into simple, effective technical solutions
Genuine interest in and adoption of AI products and willingness to learn quickly
Self-motivated with strong ownership instincts; you propose ideas, ship features ahead of schedule, and drive improvements without asking for permission
Demonstrated technical leadership: you’ve owned large, ambiguous projects, set direction, and driven them to clear outcomes
Experience building agentic product surfaces
Domain expertise in verticals such as finance, healthcare, legal, or operations
Time at a fast-growing startup or high-ownership engineering team

Software Engineer (Member of Technical Staff, Integrations)

Compensation

$220K–$405K / yr

Location

San Francisco, United States

Work setup

Not specified

Seniority

Not specified

Employment

Not specified

Experience

6+ years

As an engineer on the Integrations team at Perplexity, you’ll define the technical direction of products that connect Perplexity to workflows across multiple verticals and work full-stack to build these applied AI systems
You’ll move quickly, owning outcomes end-to-end, and building useful products people reach for every day
Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS
Build agentic apps, features, and workflows that make Perplexity a daily driver for users
Lead vertical-specific products and AI-powered experiences like a Personal CFO and Email Assistant, turning connected data into reliable, high-impact tools people want to use every day
Own the data backbone of pipelines, infrastructure, and connectors that bring user and enterprise data to agents and products at a 99.9% reliability bar
Drive end-to-end projects across the full stack, running experiments in parallel and hill-climbing on adoption, retention, and revenue
Set technical direction, mentor engineers, and partner with AI, Design, Data Science, and Infra to ship products that don’t exist anywhere else

6+ years of professional software engineering experience, with a track record of rapidly shipping complex products end-to-end
Experience mentoring engineers and raising the technical bar of a team
Strong execution: you ship many products and experiments in parallel and drive each to a measurable result
An “extra zero” mindset: you aim for outcomes that are 10x, not 10%, and own the result end-to-end
Strong product judgment; you translate user behavior and product opportunities into simple, effective technical solutions
Genuine interest in and adoption of AI products and willingness to learn quickly
Self-motivated with strong ownership instincts; you propose ideas, ship features ahead of schedule, and drive improvements without asking for permission
Demonstrated technical leadership: you’ve owned large, ambiguous projects, set direction, and driven them to clear outcomes
Experience building agentic product surfaces
Domain expertise in verticals such as finance, healthcare, legal, or operations
Time at a fast-growing startup or high-ownership engineering team