AI Product Manager

About AHEAD

AHEAD builds platforms for digital business, integrating cloud infrastructure, automation, analytics, and software delivery to drive digital transformation for enterprises. The company fosters a culture of belonging, valuing diverse perspectives and ensuring equal opportunities for all.

Role Overview: AI Product Manager

AHEAD is rapidly expanding its unified AI portfolio, focused on delivering measurable business outcomes through scalable frameworks, accelerators, and productized solutions. As an AI Product Manager, you will be crucial in operationalizing AHEAD’s “build-to-scale” approach, bridging strategy, engineering, and client value across the entire enterprise AI lifecycle: Strategy, People Enablement, Applications, Platforms, Operations, and Security. This role involves both internal enablement and client-facing delivery, featuring hands-on demonstrations with leading stacks like AWS and NVIDIA. You will collaborate closely with the AI Hive, a cross-functional team dedicated to accelerating enterprise AI adoption and aligning solutions with client outcomes and best practices.

Role Scope & Focus

• Internal-facing (first 6 months): Develop and enable prioritized AI solutions across platform, agentic, application, and security domains for internal adoption. Build demos and prototypes to validate solution approaches and accelerate time-to-value. Package solutions for scale through comprehensive documentation, reference architectures, and enablement kits.
• Client-facing (6–12 months): Deliver client engagements that produce measurable impact and establish repeatable patterns. Lead solution intake, prioritization, and stakeholder alignment across AHEAD’s AI Hive, Go-To-Market (GTM), and delivery teams. Facilitate critical decisions that balance strategic value, technical feasibility, and operational readiness.

Key Outcomes & Responsibilities

• Product Strategy & Roadmap: Own and evolve the roadmap for enterprise AI solutions, encompassing platforms, agentic AI, applications, security, and operations. Translate business objectives and market demand into clear product bets, milestones, and desired outcomes. Define precise problem statements, value hypotheses, and success metrics.
• Intake, Prioritization & Stakeholder Alignment: Manage the intake and triage process with AI Hive, GTM, and delivery leaders. Align priorities, sequencing, and release scope effectively. Facilitate crucial decisions, balancing strategic value, technical feasibility, and operational readiness.
• Execution & Delivery: Convert strategic plans into executable work, including epics, stories, acceptance criteria, and comprehensive release plans. Lead agile ceremonies and establish robust feedback loops with engineering, design, and solution owners. Drive discovery and validation processes through user interviews, prototypes, and dogfooding. Develop compelling demos and Proofs of Concept (POCs) leveraging AWS, NVIDIA, and other enterprise AI hyperscalers.
• Enablement & Scale: Package solutions for broad adoption through detailed documentation, reference architectures, and enablement kits. Build repeatable accelerators and develop sales engineering content for both internal teams and field use. Maintain playbooks to ensure scalable and repeatable Product Ownership practices.
• Measurement & Communication: Define, track, and effectively communicate Key Performance Indicators (KPIs) such as adoption rates, cycle time, quality, and Return on Investment (ROI). Publish regular roadmap updates and compelling value stories for executive stakeholders.

Must-Have Qualifications

• 6–10+ years of experience in Solution or Product Management, specifically with platforms, applications, internal tools, or enterprise solutions.
• Proven track record of successfully shipping high-impact solutions within agile environments.
• Direct experience delivering Generative AI/AI use cases, including prompt-driven workflows, RAG, agentic orchestration, and analytics assistants.
• Strong product discovery and solution design skills, encompassing journey mapping, experimentation, and data-informed decision-making.
• Excellent stakeholder engagement abilities, collaborating effectively with engineering, design/UX, security, and GTM teams.
• Proficiency in backlog management, release planning, and telemetry-driven iteration.

Nice-To-Have Qualifications

• Familiarity with modern AI stacks, including Large Language Models (LLMs)/APIs, vector databases, and orchestration frameworks.
• Experience in packaging frameworks and accelerators for sales teams.
• Hands-on experience with AWS, NVIDIA, and other Data, AI, and Cloud technologies.

Environment & Success Metrics

The portfolio will be anchored on focused AI solution areas with clear success criteria and repeatability. Success involves cross-functional teaming via the AI Hive, spanning strategy, solution development, enablement, and delivery. This role addresses enterprise AI outcomes across strategy, platforms/engineering, security & trust, and application layers.

How Success Will Be Measured

• Internal adoption and enablement of prioritized AI solutions; successful demos/POCs (AWS/NVIDIA).
• Delivery of client engagements with measurable impact and repeatable patterns.
• Documented time-to-value, quality, or productivity gains for internal users.
• Predictable release cadence and cycle-time improvements.
• Solutions shipped with field-ready artifacts (docs, references, governance patterns).
• Strong stakeholder feedback and confidence in roadmap, risks, and results.

Why AHEAD

AHEAD fosters a diverse and inclusive environment through initiatives like Moving Women AHEAD and RISE AHEAD. They support employee growth with advanced technologies, cross-department training, and sponsored certifications.

Key skills/competency

• AI Product Management
• Enterprise AI Solutions
• Product Strategy
• Agile Methodologies
• Stakeholder Engagement
• Generative AI (GenAI)
• AWS/NVIDIA Technologies
• Solution Design
• Roadmap Ownership
• Technical Feasibility