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We are seeking an experienced Technical Product Manager to drive the roadmap and delivery of our internal Developer Platform — the foundation that accelerates product teams across the company. You’ll collaborate with engineering, architecture, and product leaders to deliver services like Data Object Services (DOS), Unified Workflow Engine (UWE), Ops Panel, and B2B CIAM, ensuring platform scalability, security, and internal developer delight. This is your opportunity to shape the backbone of FrankieOne’s technology ecosystem — from application and data services to workflow automation, AI integrations, and internal developer experience.
Job Responsibility:
Platform Ownership: Define, prioritize, and deliver the platform roadmap aligned with company goals. Own services that power FrankieOne’s products
Strategic Alignment: Act as the connective tissue between Engineering, Product, and Leadership — ensuring every platform initiative accelerates time-to-market for product teams and aligns with business priorities
Execution Leadership: Collaborate with Engineering Managers and Delivery Leads to convert vision into executable epics and deliver on time, quality, and impact
Developer Experience (DevX): Champion developer productivity, velocity, and satisfaction through intuitive tooling, automation, and documentation
Data & AI Enablement: Ensure the platform supports scalable, secure data and AI capabilities — including data services, governance, and observability
Stakeholder Collaboration: Engage key internal customers (Product, Engineering, Security, and DevSecOps) to identify needs, gather feedback, and deliver measurable improvements
Requirements:
Proven AI Experience: Recent experience building AI applications with end-to-end ownership
Full-Stack Expertise: 10+ years of Agile engineering experience using JS-based frameworks (specifically React) and 5+ years developing and supporting Full Stack TS-based SaaS applications in AWS/Cloud
Data, AI & Architecture: Deep understanding of AI and data architecture, including experience with integrations (REST, MCP, A2A,AG-UI), AI gateways/routers, guardrails, context management, and prompt management and typescript or golang based AI frameworks such as mastra
Hands-On Implementation: Proficiency in designing and implementing frontend and backend solutions, working with APIs, databases, and cloud services
Leadership and Communication: Proven ability to lead and mentor engineering teams, with excellent communication and collaboration skills
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