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Product Manager, AI

1872 Consulting

Product Manager, AI

Boston, MA - 4 days onsite per week

Role Summary
The Product Manager, AI will lead the definition and delivery of AI solutions that transform an innovative construction client's core business function, including Finance, HR, Legal, Marketing and others. This role bridges functional expertise and technical execution-partnering with business leaders to identify opportunities, shaping requirements into scalable AI solutions, and ensuring adoption that delivers measurable value. The Product Manager will collaborate closely with engineers, and data teams to design, pilot, and scale solutions, while maintaining clear visibility into ROI and impact for leadership. Success in this role requires strong product management discipline, applied AI expertise, and the ability to translate complex technical concepts into business outcomes.



Responsibilities

Product Management & Business Partnership
  • Lead discovery and scoping sessions with business stakeholders across corporate functions (Finance, HR, Marketing, etc.) to identify high-value AI opportunities.
  • Build strong relationships with functional leaders to understand workflows, pain points, and success measures.
  • Translate business requirements into clear technical requirements that guide design, engineering, and vendor evaluation.
  • Drive user experience design by ensuring solutions are intuitive, accessible, and aligned with employee needs.
  • Prepare clear documentation of requirements, workflows, and decision rationale to support transparent delivery.
  • Lead Agile sprint planning, backlog grooming, and retrospectives to ensure timely and high-quality delivery of product features in collaboration with cross-functional teams.
I Solution Design & Delivery Support
  • Partner with engineers to shape solution approaches, balancing build/buy/partner considerations.
  • Contribute to solution architecture discussions, ensuring designs are scalable, secure, and compliant with industry standards.
  • Collaborate closely with delivery teams to validate functionality against requirements, proactively evaluate feature effectiveness and accuracy, and resolve scope or design ambiguities to ensure product quality and alignment with user needs.
  • Support testing, pilot deployment, and adoption efforts, incorporating user feedback into iterative improvements.
  • Document and communicate lessons learned, value metrics, and impact stories to demonstrate business outcomes.
Value & Impact Measurement
  • Define success metrics and measurable outcomes for each AI initiative in partnership with business stakeholders.
  • Work closely with the Data Analytics team to design and maintain value tracking reports and dashboards.
  • Monitor adoption, efficiency gains, and ROI, and proactively identify areas for improvement.
  • Present value realization updates to leadership, ensuring clear visibility into the business impact of AI solutions.


Qualifications
  • t least 8 years of experience in technical product management with a minimum of 2 years in AI related products.
  • Bachelor's and Master's in Computer Science, Physics, Engineering or associated quantitative fields.
  • Have proven experience and knowledge of corporate functions (Finance, HR, Legal, Marketing etc)
  • Demonstrated product-management mindset: roadmap ownership, KPI definition, and budget/risk trade-off communication.
  • Deep understanding of AI applications, tools, and methodologies
  • Proven ability to apply AI/ML techniques (e.g., NLP, document intelligence, predictive modeling, generative AI) to solve business problems in corporate functions.
  • Familiarity of the latest trends in AI (e.g., agentic AI, multimodal models, RAG) and ability to evaluate their relevance for different use cases.
  • Excellent facilitation and communication skills-comfortable running discovery sessions, white-boarding with PMs, and demoing prototypes to senior leaders.


Nice to have/Desired:
  • Hands-on experience with modern AI/ML tools and platforms (e.g., OpenAI, Azure AI, AWS SageMaker, AWS Bedrock or similar).
Vacancy posted 2 days ago
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