Tech Lead Software Engineer for Real-Time Infrastructure

Tech Lead Software Engineer

$250K - $280k base + strong equity

(United States) Remote

A well-funded AI company is building the next generation of real-time infrastructure to power ML-based advertising—grounded in behavioral data, designed with privacy in mind, and engineered for scale.

With deep technical talent, major strategic partnerships, and a strong financial runway, the team is now hiring a Tech Lead Software Engineer to own the architecture and delivery of a key product system: a high-throughput, low-latency bidding platform that connects real-world intelligence with real-time decisioning.

The Opportunity

As the Tech Lead for the Ad Platform, you’ll take on a high-impact role owning the technical direction and execution of a major product initiative. You’ll work across backend infra, low-latency pipelines, and service orchestration—while remaining deeply hands-on.

This is a rare opportunity to help architect a core pillar of the business from the ground up, while collaborating with experts from top-tier product and infra teams.

What You’ll Do

• Lead the design and implementation of real-time systems for ML-based ad decisioning
• Build low-latency, high-throughput infrastructure for bidding and signal orchestration
• Define scalable service boundaries and deployment patterns across the stack
• Translate ambiguous product goals into concrete, testable system designs
• Mentor other engineers and help shape engineering culture and processes
• Ensure systems are observable, resilient, and reproducible in production

What You’ll Bring

• Experience building distributed systems at scale, ideally in ads, recsys, or real-time domains
• Hands-on expertise with low-latency architecture and data infrastructure
• Proficiency with compiled languages such as Go, Rust, or Scala
• Ability to thrive in ambiguity and lead zero-to-one technical projects
• Strong sense of ownership and ability to balance speed with technical rigor
• Previous startup experience or a builder mindset is a plus

Tech Stack

• Languages: Go, Rust, Scala
• Real-time bidding, distributed data pipelines, orchestration tooling
• Cloud-native infrastructure (AWS, Azure, etc.)
• CI/CD, observability, and reproducibility best practices

Why Join?

• Be a foundational contributor to a breakout ML platform in a massive market
• Work with top-tier engineers from leading tech companies
• High ownership role with direct business impact
• Non-dilutive equity and strong upside potential
• Fully remote within the US
• Excellent benefits and long-term financial alignment
• Well-funded with 5+ years of runway and a clear path to profitability

About People in AI

We’re a specialist recruiting firm connecting top-tier talent with the most ambitious companies in AI and machine learning. We partner with teams building the future—from foundational research to scalable applications.