Software Engineer Manager; Artificial Intelligence

• The Engineering team is seeking an experienced Engineering Manager to lead our AI Engineering organization
• This leader will be responsible for building and scaling the engineering team that delivers AI-powered products and enterprise capabilities
• You will combine strong technical leadership with exceptional people management, partnering closely with Product, Design, Data, and business leaders to define strategy, execute against ambitious roadmaps, and deliver reliable, production-grade AI solutions
• Lead, mentor, and grow a team of AI software engineers, fostering a culture of technical excellence, ownership, and continuous learning
• Drive engineering execution by establishing priorities, managing delivery, and ensuring predictable, high-quality outcomes
• Define the technical architecture and engineering direction for AI platforms, services, and enterprise applications
• Partner with Product, Design, Data Science, Security, and business stakeholders to translate business objectives into scalable technical solutions
• Architect, build, and oversee the delivery of production-grade AI services with a focus on reliability, scalability, observability, and operational excellence
• Guide the implementation of modern AI capabilities, including retrieval-augmented generation (RAG), AI agents, orchestration frameworks, and integrations with leading LLM providers
• Establish engineering best practices for software development, testing, deployment, code quality, and operational support
• Remain technically engaged by reviewing architecture, mentoring engineers, and contributing to key technical decisions and complex implementations when appropriate
• Recruit, coach, and develop engineering talent while helping shape the long-term growth of the AI Engineering organization

• Competitive health coverage
• A dedicated Employee Wellbeing Committee
• Generous vacation, safe/sick time, and leave policies
• Strong focus on learning & development
• Hybrid work environment
• A great 401(k) plan!

The ideal candidate has a proven track record of leading high-performing engineering teams while remaining technically credible in modern AI and software engineering

You know how to balance execution with long-term architecture, mentor engineers, raise the engineering bar, and build systems that scale

You’re a great fit if you enjoy developing people as much as technology, can navigate ambiguity, and are passionate about delivering AI solutions that create measurable business value

Proven experience building, delivering, and operating production software systems at scale

Strong hands-on experience developing production applications in Python Strong understanding of software engineering best practices, including testing, observability, security, code review, and operational excellence

Experience integrating AI services using leading LLM providers and modern AI frameworks such as Lang Chain, Lang Graph, or similar technologies

Bachelor’s degree in Computer Science, Engineering, Physics, Mathematics, or a related technical field

Experience with relational databases (PostgreSQL preferred) and distributed application architectures

Experience working in Agile development environments using tools such as Git Hub, Jira, and Jenkins (or equivalent)
Demonstrated ability to recruit, mentor, and develop high-performing engineering teams

Excellent communication and collaboration skills with the ability to influence technical and non-technical stakeholders8+ years of professional software engineering experience, including at least 3+ years leading engineering teams

Deep understanding of modern AI and machine learning concepts, including large language models (LLMs), retrieval-augmented generation (RAG), AI agents, and model orchestration frameworks

Experience designing cloud-native applications using AWS, Docker, and modern deployment and CI/CD practices

Experience leading engineering teams responsible for AI/ML-enabled products or platforms

Startup or high-growth company experience

Experience in financial technology or regulated industries

Experience building and scaling AI platforms used across multiple products or business functions

Experience leading engineering organizations through rapid growth or organizational change