Tech Lead Software Engineer
$230,000 - $260,000 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.