Remote Senior Software Engineer, Product

(This role is US based remote and all candidates must be able to work in the US now and in the future without restriction) What we believe Technology is no longer just an enabler of business strategy. It is the business strategy. And with AI reshaping how companies operate, compete and grow — while rapidly accelerating the pace of change — the stakes have never been higher. Our role We're focused on helping private equity investors and portfolio company leaders drive value creation through technology. In a world where investors deploy trillions annually into software and tech-enabled businesses, we're the team that makes sure the underlying technology actually delivers. Our approach The expert judgment of our experienced practitioners is complemented by proven frameworks, tech-enabled solutions, and objective data to help organizations navigate critical technology decisions across diligence, transformation, growth, cybersecurity, AI, and operational execution. What we value Everything we do is grounded in five core values: Service. Curiosity. Credibility. Commitment. Creativity. If you're energized by solving complex technology challenges and helping others succeed in critical moments, you'll fit right in. Job RoleWe're building small, highly capable engineering pods (2–3 engineers) that own problems end-to-end and move quickly from idea to production. This role is for engineers who are comfortable operating across the full stack and using modern AI-enabled workflows to accelerate delivery. This role is part of our Core Products team, which builds and maintains the tools Crosslake practitioners use to manage assessments and deliver results to clients. You'll be expected to design, build, and ship software with minimal handoffs—working across frontend, backend, and infrastructure as needed. How we work Small teams, high ownership, minimal handoffs Fast, iterative delivery over heavy process Pragmatic decision-making over over-engineering Engineers are expected to operate across the stack, not within silos

Experience with AI engineering – building agentic workflows into products that balance efficiency and quality (e.g., Pydantic AI, CrewAI, LangGraph, etc.)