Principal Software Engineer (Hybrid, San Francisco)

Apollo.io•San Francisco, CA

3d•Hybrid

About The Position

Apollo is the AI-powered go-to-market platform that helps revenue teams find, engage, and convert their best customers. We combine a database of more than 210 million contacts and 35 million companies with an agentic end-to-end GTM platform, and more than 500,000 companies rely on us to run their go-to-market motion. We are profitable, growing fast, and rebuilding the product around AI and agents. You will set technical direction at the level of the whole engineering organization. You will own the hardest, most ambiguous, and highest-stakes technical bets, the ones that shape the product for years, and you will be a force multiplier across many teams. Your judgment will be a reference point for how we build, and your impact will be felt org-wide rather than on any single team.

Requirements

A track record of setting technical direction that shaped a product or platform across an entire engineering organization
Depth across distributed systems and architecture, and command of the reliability, scale, and cost tradeoffs behind company-defining decisions
The judgment to make the hardest calls under ambiguity, and the influence to align many teams behind them
A record of multiplying the most senior engineers around you.
Genuine, current fluency with AI-assisted development, and a clear point of view on where AI takes engineering next

Responsibilities

Own the technical direction of Apollo's most critical and most ambiguous problems, across team and organizational boundaries
Make the architectural bets that shape the product and platform over multiple years, and be accountable for how they play out
Set the technical strategy for the rebuild around AI and agents, and turn it into direction teams can execute
Raise the engineering bar across the whole organization through the standards, patterns, and decisions you drive
Multiply the output of engineers and teams far beyond your own code, through design, review, and mentorship of our most senior engineers
Partner with engineering and product leadership as a peer on where the technology needs to go
Set the standard for what AI-native engineering looks like at the highest level.
Use agents to move faster on the hardest design, investigation, and implementation work.
Define the practices other engineers adopt.
Find the step-change bets where AI reshapes how we build the product, not just how fast we ship.