Lead Software Engineer, AI Enablement

📋 Description Shape and manage a quarterly portfolio of embedded AI enablement engagements, prioritizing Guide initiatives from workflow discovery and platform exploration through requirements definition Identify opportunities to turn successful engagements into scalable capabilities, adoption Protect engineering capacity for high-leverage work that creates compounding value across the Coordinate AI Platform, product engineering, data, security, and business stakeholders around Establish repeatable engagement models and practical playbooks that make successful AI adoption 🎯 Requirements 5+ years of professional software engineering experience. At least 1 year of experience leading software teams or significant technical initiatives. Demonstrated ability to lead team-level delivery of customer-facing or internal technical solutions. Strong practical knowledge of AI tools and technologies, with sound judgment around responsible AI Strong product instincts, including the ability to assess opportunities, define success criteria Experience working directly with varied users and stakeholders to understand workflows and 🎁 Benefits Base salary: $164,200–$240,000 annually. Eligibility for a competitive bonus. Equity offering. Flexible “work where it works best” approach, with the ability to work remotely from locations Opportunity to work at the intersection of software engineering, AI adoption, platform development Significant ownership and influence over AI enablement priorities and engineering practices.