Engineering Manager leading the AI Applications team at Optro, driving AI-powered features and mentoring engineers. Overseeing integration layer between AI Platform and product teams for innovative solutions.
Responsibilities
Mentor, inspire, and grow a diverse team of engineers, fostering a culture of craftsmanship, curiosity, and continuous learning in applied AI.
Manage the team through hiring, retaining, mentoring, and continuously building individual and team capabilities in modern AI engineering best practices.
Act as an embedded engineering partner to the product organization, championing AI-first approaches to feature delivery and accelerating squads' ability to leverage AI infrastructure.
Lead the technical direction and execution for AI initiatives, including agent workflow development, MCP tooling, and the internal AI chat assistant.
Develop and nurture strong relationships with Product, QA, Delivery, Design, Customer Support, GTM, and other partners to deliver best-in-class AI-powered experiences.
Own end-to-end build and delivery of AI solutions, features, and services within Optro's platform, collaborating closely with the AI Platform team for core infrastructure.
Continuously improve all aspects of the product lifecycle, technical systems, engineering processes, and team practices, to deliver outstanding results for customers.
Collaborate closely with Product Management to define goals, objectives, and the roadmap for AI Applications initiatives, ensuring alignment with business priorities.
Champion agile best practices, ensuring clarity, transparency, and efficient delivery across your team and the broader organization.
Requirements
5+ years of engineering experience, with 2+ years in an engineering management role leading teams building and shipping production AI or software systems.
Demonstrated ability to be a technical mentor and engineering role model, someone engineers look to for guidance on architecture, code quality, and engineering culture.
Strong proficiency with Python and modern server-side development; comfort with TypeScript/Node.js is a plus.
Experience with AWS (preferred) or Azure cloud environments and modern deployment practices.
Track record of partnering with Product teams to drive delivery velocity and quality.
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