Engineering Manager, Product Engineering

What You'll Do

• Own end-to-end delivery of core product initiatives, from technical design through execution and iteration, while directly managing a high-performing fullstack engineering team.
• Set technical direction for large-scale, AI-powered systems, including:
• Retrieval over petabyte-scale document collections.
• Product interfaces that enable organizations to collaborate with AI.
• Long-horizon (1000+ step) planning agents for mission-critical workflows.
• Government-grade security for highly sensitive data.
• Evaluation of LLMs across a 10k+ leaf taxonomy of tasks.
• Internet-scale data collection across 50+ jurisdictions.
• Translate product vision into architecture, making pragmatic tradeoffs that balance speed, quality, and long-term scalability in a fast-moving environment.
• Lead hands-on when it matters: contribute to design, code, and architecture reviews, and dive into implementation to unblock the team or tackle the hardest problems.
• Build and grow your team by hiring exceptional engineers, setting clear technical and behavioral standards, and investing in mentorship and career development.
• Partner deeply with Product, Design, and AI to identify high-leverage opportunities and ship highly intuitive, detail-oriented user experiences.
• Establish a strong engineering culture centered on simplicity, ownership, craftsmanship, and continuous improvement.
• Align execution with company goals, ensuring technical investments directly support product strategy and long-term impact.

What You Have

• 6+ years of experience as a product-focused fullstack or backend software engineer (post BS/MS), with a history of shipping real products to real users.
• 2+ years of experience leading engineers, with clear ownership over both delivery and team health. Past management experience is a plus.
• A proven ability to design and operate backend platforms that support multiple product lines at scale.
• Strong experience with modern frontend frameworks (e.g. React) or backend systems (e.g. Python, Node, Go).
• Excellent technical judgment: you know when to move fast, when to invest, and when to simplify.
• A strong product instinct and attention to detail, with a track record of building intuitive, high-quality user experiences.
• Demonstrated success building, motivating, and retaining high-performing teams in high-growth environments.
• Solid computer science fundamentals and strong programming skills.
• Grit and ownership mindset — you’re comfortable operating in ambiguity and taking responsibility for outcomes.
• Bonus: experience with AI-powered applications, large-scale data systems, LLM evaluation, or complex internal platforms.