Engineering Manager (API Platform)
Company websiteperplexity.ai (Perplexity, opens in new tab)
Base salary $300K to $405K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (3 h ago) · observed since
About this job
Perplexity API Platform
Perplexity innovates at the frontier of AI infrastructure, search, and orchestration to serve the world's most discerning users. The Perplexity API Platform brings our technology to the world's most discerning developers.
From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexity's applications are some of the most battle-tested AI systems in the industry. We believe these same building blocks can and should power the aspirations of builders everywhere. It's one thing to solve planet-scale retrieval, long-horizon orchestration, and other foundational AI challenges within a single product ecosystem. The true measure of success is to turn those solutions into elegant APIs that delight developers and agents alike.
Our API Platform delivers frontier intelligence to thousands of customers: startups, trillion-dollar enterprises, U.S. and allied governments, and everyone in between. We've achieved incredible scale, yet we're just getting started. Join us to build tools for curious minds.
About this role
Perplexity is seeking a strong technical leader to steer the API Platform engineering team through a rapid period of growth. Our company builds technology that reshapes how people search, reason, and interact with the world around them. Week after week, we observe increasing demand for programmatic interfaces to that technology. The API Platform engineering team is charged with designing, implementing, and scaling these interfaces.
You and your team will work on an eclectic portfolio spanning distributed systems, performance optimization, agent orchestration, and frontier topics that often change with each passing month. Throughout this work, you'll prioritize great developer and agent experience alike. You'll also define technical strategy for how we scale to meet compounding growth exponentials (number of customers, agents per customer, compute/retrieval per agent, etc.).
This role is ideal for seasoned engineering managers who are unusually passionate about providing the world with programmatic access to the building blocks of frontier intelligence.
Key Responsibilities
Provide both technical and team leadership across multiple layers of our rapidly growing API business.
Design, build, and operate mission-critical APIs that provide our customers the building blocks for frontier intelligence.
Continually reimagine the customer needs of tomorrow (and the architectures to serve those needs), while faithfully serving the customer workloads of today.
Drive product reliability, code quality, AI evaluation, testing, and maintenance for the broader team.
Oversee hiring, onboarding, and mentorship for a rapidly growing team; develop rigorous interview pipelines and work closely with recruiting to source candidates.
Collaborate across teams to incorporate novel frontier capabilities into the API Platform and improve existing capabilities for API customer needs.
Track and ensure progress toward top-line business goals, in close coordination with engineering and business executives.
Qualifications
Entrepreneurial attitude; able and eager to run more than just engineering.
Proficiency in Python (bonus points for Go and/or Rust).
Strong understanding of high-traffic API design: schema evolution & versioning, idempotency, authentication patterns, rate limiting, and performance tuning.
Experience with modern AI APIs (including latency tuning, streaming, model orchestration, emerging technical standards) is a strong plus.
Strong customer empathy and product sense, ensuring the APIs you build are ergonomic, well-documented, and easy to adopt for developers and agents alike.
Strong organizational skills for managing and delivering parallel technical projects; ability to guide highly-opinionated teams in making sound tradeoffs and prioritization decisions is critical.
Experience managing engineering teams, including recruiting, growing, and retaining high-caliber talent.
8+ years of engineering experience, with at least 3 of those years as an engineering manager.
Source: Perplexity on Ashby · View original posting (opens in new tab)
This listingEngineering Manager (API Platform)$300K to $405K
Engineering Manager (Multimodal)$300K to $405K
Engineering Manager (Enterprise)$300K to $405K
Engineering Manager (TLM, Agents)$300K to $405K
Commercial Sales Manager$300K to $380K
Director, Litigation$275K to $375K
Principal Counsel, Corporate$250K to $350K
Chart as a table
| Role | Published base |
|---|---|
| Engineering Manager (API Platform) (this listing) | $300K - $405K |
| Engineering Manager (Multimodal) | $300K - $405K |
| Engineering Manager (Enterprise) | $300K - $405K |
| Engineering Manager (TLM, Agents) | $300K - $405K |
| Commercial Sales Manager | $300K - $380K |
| Director, Litigation | $275K - $375K |
| Principal Counsel, Corporate | $250K - $350K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-09-15
Where this pay comes from
Location as the employer wrote it: San Francisco
USD 300,000 – 405,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
