Engineering Manager – AI Product Platform

Responsibilities

• Lead and mentor a team of software engineers in a SaaS product environment.
• Drive Agile/Scrum processes, sprint planning, retrospectives, estimation, and delivery execution.
• Establish predictable engineering practices and improve team productivity.
• Lead modernization initiatives while supporting existing production platforms.
• Manage parallel workstreams across legacy and next-generation AI-enabled products.
• Collaborate closely with Product, Design, and Technical Leadership to execute product roadmaps.
• Manage hybrid engineering teams, including internal engineers and external vendors/contractors.
• Ensure successful knowledge transfer, vendor transition, and engineering continuity.
• Coach engineers through career development, mentorship, and technical leadership growth.
• Promote engineering excellence through CI/CD, code reviews, testing, observability, and operational best practices.
• Help integrate AI/ML capabilities into customer-facing products.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• 7-12+ years of software engineering experience.
• 3+ years of engineering management experience leading teams of 8+ engineers.
• Experience leading SaaS product engineering teams.
• Proven success managing legacy platform modernization while delivering new products.
• Experience delivering AI-powered or AI-assisted product features into production.
• Experience managing hybrid teams consisting of employees and external vendors/contractors.
• Strong understanding of Agile, Scrum, and engineering delivery best practices.
• Experience improving engineering processes, sprint execution, and release predictability.
• Strong communication and stakeholder management skills.

Preferred Qualifications

• Experience with Generative AI, LLM integrations, AI Agents, or AI-assisted product development.
• Familiarity with modern cloud platforms and distributed systems.
• Knowledge of CI/CD pipelines, DevOps practices, monitoring, and observability.
• Ability to review architecture and provide technical guidance without being an individual contributor.
• Experience working with modern SaaS web applications.

Desired Leadership Qualities

• Execution-focused with a strong sense of ownership.
• Excellent coach and mentor for engineering teams.
• Comfortable working in rapidly changing environments.
• Strong cross-functional collaboration skills.
• Data-driven decision maker.
• Able to balance business priorities with engineering quality.
• Passionate about AI adoption and modern software development practices.