Member of Technical Staff (GTM Engineer, Growth)
Company websiteperplexity.ai (Perplexity, opens in new tab)
Base salary $180K to $270K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA +1 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA +1 more
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
All places named
- San Francisco, CA
- New York City, NY
About this job
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people and teams adopt Perplexity and Computer on their own, and the Growth team owns the loops that turn that adoption into lasting usage and revenue.
We're hiring a Growth GTM Engineer to build the systems that turn product usage into revenue and turn self-serve usage into enterprise pipeline. You'll turn first-party Computer and Enterprise usage into account-level signals. You'll ship the in-product paths that capture sales intent, and build and validate those signals with data science. Alongside product engineers, you ship production code, instrument the product and run experiments. You'll partner closely with Revenue Operations, who own Salesforce, CPQ, routing and sales reporting.
Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Snowflake | Eppo | AWS
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 account-level PLG signals: map users and workspaces to accounts, and define the activation, expansion and intent signals that predict an enterprise deal. Publish them as trusted models that sales use for scoring and routing.
Own the in-product paths from self-serve to sales, like contact-sales entry points, high-intent upsells and meeting booking, across web and app. Decide who sees them, when and with what context, and measure them end to end, from surface to booked meeting to pipeline.
Lead experiments end to end on sales-assist surfaces and targeting, from hypothesis and instrumentation through analysis and rollout. Partner with Data Science to measure meetings and qualified opportunities, not just clicks.
Build the internal tools and automation Growth and GTM teams run on
Partner closely with Sales, Sales Systems, Data Science, Marketing and Product to turn product signals into pipeline. Be upstream partner to sales systems that own Salesforce, CPQ and routing
Qualifications
2+ years as a growth, GTM, data or full-stack engineer, shipping production code (TypeScript/React, Python).
Strong SQL and comfort building data models in a warehouse (Snowflake, dbt-style).
Experience instrumenting product events and running A/B experiments end to end.
Commercial instinct: you start from a revenue problem ("trial-to-enterprise conversion won't move") and work back to the signal or surface that fixes it.
Comfort with REST APIs, webhooks and integrating third-party GTM tools.
Operator mindset: you talk to customers directly, ship fixes, and don't need a PM to translate requests.
Nice to Have
Experience in a PLG-to-enterprise motion: product-qualified leads, scoring users into accounts, sales-assist flows.
Experience as a GTM or growth engineer at a B2B SaaS or GTM-tooling company.
Entity resolution, dedup or domain enrichment.
Familiarity with Salesforce, Default, Chili Piper, Intercom, Clay, Hightouch/Polytomic or similar (as a consumer and integrator, not an admin).
Experience building LLM-powered internal tools or agents.
Source: Perplexity on Ashby · View original posting (opens in new tab)
Pay in context
This role's base floor ($180,000) is above 50% of the 5,063 Software Engineering roles in California listed on this site; 200 others list the same floor. Their median floor is $176,600; the middle half runs from $149,365 to $204,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.
This listingMember of Technical Staff (GTM Engineer, Growth)$180K to $270K
Web Designer$180K to $210K
Global Treasury Manager, Investments & Risk$180K to $210K
Perplexity Research Fellowship$180K to $220K
Lead Product Designer, Enterprise$180K to $300K
Design Engineer, Growth & Marketing$180K to $300K
Program Manager, Talent Acquisition$180K to $200K
Chart as a table
| Role | Published base |
|---|---|
| Member of Technical Staff (GTM Engineer, Growth) (this listing) | $180K - $270K |
| Web Designer | $180K - $210K |
| Global Treasury Manager, Investments & Risk | $180K - $210K |
| Perplexity Research Fellowship | $180K - $220K |
| Lead Product Designer, Enterprise | $180K - $300K |
| Design Engineer, Growth & Marketing | $180K - $300K |
| Program Manager, Talent Acquisition | $180K - $200K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- fields changed
- Observed since
- Employer-stated posting date
- 2026-11-04
Where this pay comes from
Location as the employer wrote it: San Francisco • New York City
USD 180,000 – 270,000 · 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.
