Senior Software Engineer (Hybrid, San Francisco)

About this role

Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members.

About Apollo

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.

Your role and mission

You will design, build, and scale significant systems and features, owning them end-to-end. You will take on ambiguous, higher-scope problems, make the key technical tradeoffs, and be accountable for the correctness, performance, and reliability of what you own.

What you will do

• Own significant systems and features end-to-end, from design through production and operation

• Break down hard, ambiguous problems and drive them to shipped outcomes

• Own the reliability, performance, and cost of the systems you are responsible for

• Partner across product, design, and engineering to solve problems that span teams

• Raise the quality bar and set patterns that make the people around you more effective

How we work: AI-native by default

You treat AI-assisted development as a core part of how you work. You use agents to move faster on design, investigation, and implementation, with clear judgment about where to review closely, and you look for ways AI raises the leverage of the whole team.

What we are looking for

• A strong track record of owning and shipping systems at scale

• Command of system design, data modeling, and the reliability and cost tradeoffs that come w