Product Manager- Tech Ex AI Assets Foundry Team

Are you ready to make an impact?

The Tech Ex Labs Product Manager helps shape and deliver the roadmap for the firm’s proprietary software assets and AI capabilities, translating market and client needs into scalable, secure, responsible AI-enabled products. 

Responsibilities 

AI Product Strategy and Roadmap 

• Support the product vision, roadmap, and outcome measures for proprietary software assets and AI capabilities.

• Use market trends, client feedback, emerging AI capabilities, and product performance to inform priorities.

Product Discovery and Requirements 

• Own defined areas of the product backlog, including release planning, user stories, and acceptance criteria.

• Translate business problems and user needs into clear requirements for engineering, data, AI/ML, and asset teams.

• Recommend tradeoffs that balance speed, value, quality, technical debt, security, compliance, and responsible AI.

Delivery, Readiness, and Performance 

• Facilitate sprint planning, backlog refinement, reviews, and delivery ceremonies to meet roadmap goals and KPIs.

• Partner with product design, engineering, AI/ML, data, and asset teams to shape initiatives, epics, and stories.

• Track delivery, adoption, quality, and performance; support UAT, defect resolution, release readiness, and post-launch measurement.

Stakeholder Collaboration, Adoption, and Responsible AI 

• Serve as a product liaison across business stakeholders, AI architects, engineers, product designers, governance, and success teams.

• Gather and prioritize requirements from internal users, client-facing teams, asset teams, and AI development teams.

• Support adoption through enablement, training, best practices, change management, feedback loops, and stakeholder communication.

• Incorporate responsible AI requirements into features and release criteria, including transparency, monitoring, data quality, oversight, and controls.

Innovation and Continuous Improvement 

• Stay current on emerging AI, MLOps, data, cloud, and automation technologies relevant to the firm’s software assets.

• Identify opportunities to improve user experience, developer productivity, reliability, and repeatable delivery patterns.

• Champion a product mindset focused on customer experience, measurable outcomes, reusable capabilities, and continuous improvement.

 

Qualifications 

• Bachelor’s degree in Business, Computer Science, Engineering, Information Systems, Data Science, or related field preferred; equivalent experience accepted.

• 5+ years of experience in product management, product ownership, technology delivery, platform management, AI/ML programs, or related disciplines.

• 1-2+ years supporting AI, machine learning, analytics, data platforms, cloud products, generative AI, agentic AI, or AI-enabled software.

• Strong understanding of Agile/Scrum delivery and experience working with cross-functional Agile teams.

• Track record supporting customer-centric technology products aligned to business objectives, adoption goals, and measurable outcomes.

• Experience collaborating with engineering, architecture, data, AI/ML, design, governance, business, and stakeholder teams.

• Ability to travel as needed for team meetings, workshops, stakeholder sessions, or conferences.

Knowledge and Skills 

AI and Technology Knowledge 

• Working understanding of the AI/ML lifecycle, including data ingestion, model development, evaluation, deployment, monitoring, and improvement.

• Familiarity with generative AI, agentic AI, AI platform architecture, MLOps, cloud-native technologies, and enterprise technology ecosystems.

• Working knowledge of data engineering, platform engineering, AI governance, security, compliance, privacy, and responsible AI frameworks.

Product Management Skills 

• Strong roadmap support, backlog prioritization, release planning, and metrics-driven decision-making skills.

• Ability to translate business needs into requirements, technical capabilities, user stories, acceptance criteria, and success metrics.

• Strong analytical and problem-solving skills using customer feedback, performance metrics, and adoption data.

• Ability to balance stakeholder priorities while maintaining focus on value, feasibility, risk, and delivery outcomes.

Leadership and Communication Skills 

• Strong stakeholder management, communication, facilitation, and organizational skills.

• Ability to coordinate cross-function…