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Mgr, Product Management – (GenAI/AI Product Experience)

SpringCube

Full time - Manager

IT Services & Consulting

United States, Boston - Massachusetts

Published 3 weeks ago

Salary: USD15,000 - USD20,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
This AI-driven enterprise platform develops role- and function-specific products across Finance, Procurement, Supply Chain, HR, and Customer operations. The platform empowers organizations with agent-enabled AI solutions, helping teams streamline workflows, make data-driven decisions, and drive measurable business outcomes while ensuring trust, compliance, and adoption.

Job Title: Mgr, Product Management – (GenAI/AI Product Experience)
Location: Boston, MA
Employment Type: Regular

Job Description
Key Responsibilities
• Own product strategy and roadmap: Define vision, target users, value propositions, and multi-quarter plans for multiple role-/function-specific AI products.
• Translate needs into outcomes: Collaborate with clients and internal teams to identify high-value use cases, map workflows, define “jobs to be done,” and measurable success metrics.
• Lead discovery and delivery: Run research, prototypes, pilots, and product delivery from MVP to scale, managing scope, tradeoffs, and dependencies across engineering, data, and design.
• Define product requirements: Produce PRDs, user stories, acceptance criteria, and workflow diagrams for agent behaviors, tool integrations, and user experiences.
• Agent experience & orchestration: Specify agent capabilities including reasoning, task planning, tool use, human-in-the-loop patterns, and escalation handling.
• Data and integration leadership: Drive requirements for connectors, data access, security/privacy, logging/auditability, and integration with enterprise systems.
• Trustworthy AI & risk management: Partner with risk and compliance teams to address model governance, safety, monitoring, explainability, bias, and audit requirements.
• Go-to-market and enablement: Support sales and delivery teams with offerings packaging, pricing, demos, and launch activities.
• Operate product cadence: Maintain backlog, run sprint planning, track progress, and communicate decisions to stakeholders.

Required Qualifications
• 7+ years in Product Management, including enterprise software, SaaS, platforms, or data products.
• 2+ years delivering AI/ML products (GenAI preferred) with experience in evaluation, monitoring, and iteration loops.
• 2+ years supporting product discovery (research, hypothesis testing, experimentation) and delivery (requirements, backlog, release management).
• 1+ year working with enterprise integration patterns (APIs, eventing, identity/SSO, RBAC, data pipelines).
• Ability to travel 0-10% and limited immigration sponsorship may be available.

Preferred Qualifications
• Experience with agentic architectures (tool calling, RAG, workflow orchestration, multi-agent patterns).
• Familiarity with LLM evaluation (quality metrics, red-teaming, grounding, hallucination mitigation).
• Domain expertise in Finance, Procurement, Supply Chain, HR, or Customer Operations.
• Consulting, enterprise transformation, or platform product experience with shared services, governance, or reusable components.
• Proven ability to manage multiple products with competing priorities and shared platform dependencies.
• Experience launching products with OCI / SAP / ERP / CRM ecosystems and connector marketplaces.
• Excellent stakeholder management and executive communication, including PRDs, narratives, and decision memos.
• Track record collaborating with engineering, design, data science, and risk/compliance teams in regulated environments.

Key Deliverables
• Product strategy and 12–18 month roadmap with measurable outcomes.
• PRDs, epics, user stories, and acceptance criteria for each product/agent capability.
• Use-case catalog and prioritization model (value, feasibility, risk, readiness).
• MVP/pilot plans with success metrics, rollout phases, and scaling criteria.
• Trust & governance artifacts: evaluation approach, monitoring plan, audit/logging requirements, risk controls.
• Release plans and launch readiness checklists, including documentation, training, demo scripts, and enablement.
• Customer feedback loop: telemetry dashboards, VOC insights, and iteration plans.
• Success metrics and measurable outcomes for products.

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
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