> Markdown version of [/jobs/ext/3644502-technical-program-manager-ai-agentic-personalization](https://www.wearedevelopers.com/jobs/ext/3644502-technical-program-manager-ai-agentic-personalization). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Program Manager - AI & Agentic Personalization - **Company:** BINGHAMTOM UNIVERSITY - **Location:** United States - **Experience:** Expert - **Salary:** $100,600.0 - **Contract:** Permanent contract - **Skills:** AutoCAD, Agile Methodology, Artificial Intelligence, Amazon Web Services, Autodesk Revit, Microsoft Azure, Building Information Modeling, Cloud Computing, Performance Tuning, Scrum Methodology, Systems Development Life Cycle, Recommender Systems, Google Cloud, Agentic-AI, Data Analytics, Data Management, Autodesk Autocad - **Published:** October 9, 2026 - **Apply:** https://www.themuse.com/jobs/autodesk/senior-technical-program-manager-ai-agentic-personalization?utm_source=uconnect ## About the Role * 10+ years of experience in Technical Program Management or related roles * Proven track record delivering complex, cross-functional technical programs * Strong expertise in SDLC methodologies (Agile, Scrum, Kanban) * Experience working on AI/ML, data platforms, or Recommendation systems, cloud platforms (AWS, GCP, Azure) * Excellent communication, facilitation, and stakeholder management skills * Experience in AEC (Architecture, Engineering, Construction)- Familiarity with BIM workflows and Autodesk tools (Revit, AutoCAD, Civil 3D, Fusion) * Experience delivering AI-powered product features or agentic systems * Understanding of challenges related to AI trust, adoption, and user experience in professional workflows * Experience with experimentation, telemetry, or data-driven product development ## Description Autodesk is seeking a Senior Technical Program Manager (TPM) to join the AI & Agentic Personalization team within AEC. This team is building the next generation of intelligent product experiences-leveraging AI, machine learning, and emerging agentic technologies to proactively assist users across design, construction, and operations workflows. Our mission is to embed intelligence and personalization directly into Autodesk products-enabling systems that can anticipate user needs, recommend next-best actions, and increasingly act on behalf of users to improve productivity and outcomes. We work across flagship AEC products (Revit, AutoCAD, Civil 3D, Fusion) to integrate AI-driven capabilities into real-world workflows used by millions of professionals. Responsibilities * Lead end-to-end delivery of programs focused on AI-driven personalization, recommendations, and agentic workflows * Drive initiatives that enable systems to predict, recommend, and increasingly automate user actions within AEC products * Partner with Product Management, AI/ML, data, and platform teams to bring intelligent capabilities into production environments * Ensure responsible, scalable, and high-quality delivery of AI-powered features * Apply strong understanding of AEC workflows (design, BIM, construction, operations) to shape AI-driven solutions * Ensure AI capabilities align with real-world user intent, workflows, and constraints * Advocate for solutions that improve productivity, reduce errors, and accelerate time-to-value for AEC professionals * Bridge domain expertise with emerging AI capabilities to create meaningful product experiences * Lead Agile program execution across multiple teams delivering AI-enabled features * Drive clarity in requirements, prioritization, and execution across complex dependencies * Ensure strong SDLC practices across experimentation, iteration, and release of AI capabilities * Manage program risks, especially those related to AI performance, trust, and user experience * Coordinate across Product, Engineering, Data Science, UX, and platform teams * Drive integration of shared AI capabilities (e.g., recommendation engines, user models, real-time systems) into AEC products * Enable consistent adoption of AI and personalization capabilities across multiple product teams * Act as a master facilitator, driving alignment across teams and leadership * Sprint-level execution and delivery tracking * Program-level risks, dependencies, and milestones * Executive-level strategy, progress, and impact