Staff Software Engineer (Hybrid, Bangalore)

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. 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, 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 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.

What you will do

• 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.

How we work: AI-native by default

You set the standard for what AI-native engineering looks like at the highest level. You use agents to move faster on the hardest design, investigation, and implementation work, you define the practices other engineers adopt, and you find the step-change bets where AI reshapes how we build the product, not just how fast we ship.