• Build, mentor, and grow a high-performing team of engineers, fostering collaboration, ownership, and accountability • Strengthen LangChain’s engineering culture through mentorship, high-quality code, and technical excellence • Shape long-term technical direction and ensure scalability and reliability of LangSmith AI Observability Platform • Partner with product and design teams to define scope, sequence, and success criteria for key initiatives • Maintain a high bar for technical excellence while making sure the team moves with urgency and focus • Lead by example in writing clean, maintainable, and well-tested code in Go/Python and Typescript • Engage directly with customers to understand their needs and translate them into actionable product improvements

• Build, lead and develop a team of backend and data engineers. • Run regular 1:1s, provide feedback and actively mentor engineers in both technical and professional growth. • Create a strong team identity, ownership mindset and high-performance culture from day one. • Hire and onboard new engineers as the team scales. • Drive the design of scalable, maintainable and cost-efficient data acquisition and transformation systems. • Establish strong engineering best practices in system design, testing, observability and documentation. • Improve and modernise existing data workflows by turning ad-hoc initiatives into structured, production-grade systems. • Ensure the team builds with long-term scalability and reliability in mind. • Act as a reference point for data engineering best practices across all teams. • Collaborate closely with other Engineering Managers to ensure alignment and shared standards. • Contribute to architectural decisions that impact company-wide data strategy. • Promote a culture of data quality, clear ownership and measurable outcomes. • Stay technically involved through code reviews, architectural discussions and occasional coding. • Support engineers in solving complex system design challenges.

• build the core experiences used by both bank administrators and bank customers • deliver streamlined, high quality product workflows and the technical systems behind them • design and implement user facing flows • build robust and scalable APIs • integrate with third party services such as Plaid or SendGrid • contribute production grade code with strong documentation and testing • help translate complex product requirements into elegant, maintainable solutions • actively shape architecture through strong technical judgment, clear communication, and well reasoned decision making • mentor and enable the team through technical guidance, thoughtful code reviews, and continuous improvement

• Build, lead, and mentor a team of software engineers, providing guidance on technical growth, career development, and best practices. • Conduct regular 1:1s, performance reviews, and create individual development plans that support each engineer's career trajectory. • Provide technical leadership and guidance on using best practices to review code, adhering to designs to ensure quality, and considering scalability and maintainability. • Partner with Product and Design teams to define project scope, priorities, and technical requirements. • Drive sprint planning, remove blockers, and ensure timely delivery of high-quality features and improvements. • Participate in hiring, onboarding, and building a diverse, inclusive engineering team. • Foster a culture of innovation, continuous learning, and psychological safety where engineers can do their best work. • Champion engineering best practices including code quality, testing, observability, and incident management. • Balance technical debt with feature development and establish engineering metrics to track team health and delivery.