Job Description:
• Diagnose and prioritize the most impactful foundational investments across the Super Agent backend, partnering with engineering leadership to sequence them against product delivery
• Own the hardest cross-cutting system problems, from architectural decomposition to cross-team interface design, going deep hands-on when the problem demands it
• Build shared understanding of system health and risk across the team, helping establish the frameworks and observability needed to make investment decisions with confidence
• Raise and maintain our engineering quality bar through pragmatic standards, guardrails, and team practices that prevent regressions and keep code healthy over time
• Collaborate with peers across customer, product, and engineering to deeply understand customer needs, make pragmatic tradeoffs that maximize impact, and align on engineering reality
• Mentor engineers as a senior peer and force multiplier, sharing expertise across backend architecture and system design while helping shape stronger engineering judgment, more effective collaboration, and a higher-performing team
• Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow
• Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale
• Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably
Requirements:
• 8+ years of industry experience as a backend engineer
• Deep expertise in multiple areas of backend engineering such as data modeling, db performance tuning, state management, API design, transactionality, concurrency, fault tolerance, and scaling
• Track record of diagnosing systemic architectural problems, prioritizing across competing technical investments, and driving solutions that deliver measurable improvement over time
• Experience designing and improving interfaces and boundaries between teams and systems
• Excellent writing skills and ability to lead real-time technical-design discussions
• Experience working in tandem with Product Managers and Engineers to shape requirements, evaluate tradeoffs, and balance product delivery against foundational investment
• Demonstrated ownership and accountability, with a consistent track record of high standards, continuous improvement, and low-ego collaboration
• A demonstrated, genuine AI-first approach to engineering
• Experience using AI tools in development workflows
Benefits:
• Health insurance
• 401(k) matching
• Flexible work hours
• Paid time off
• Remote work options
• Mental health support
• Life and disability insurance
• Paid parental leave
• Employee stock purchasing program