AI Product Manager

Northwoods•Dublin, OH

3d•Onsite

About The Position

The AI Product Manager is responsible for translating product strategy into execution-ready work while driving product delivery, adoption, and measurable business outcomes for assigned Northwoods products and services. This role is explicitly AI-native: candidates must bring day-one experience leveraging AI across the full product lifecycle—from discovery, research, and requirements through delivery, validation, launch, and optimization—to improve speed, quality, decision-making, and customer value. Working in close partnership with Lead Product Managers, Engineering, Design, QA, Delivery, and Commercial teams, this role bridges product vision and execution while modeling and advancing AI adoption across the team. The Product Manager must be fluent in current AI tools, capabilities, limitations, and applicability to the product lifecycle, and must be able to coach others to use AI effectively, responsibly, and consistently in day-to-day product work. As Northwoods expands AI-enabled capabilities, this role is accountable for identifying, shaping, and operationalizing practical, trustworthy, and explainable AI opportunities across products and internal workflows. Demonstrated ability to evaluate where AI should be applied—and where it should not—while driving adoption with cross-functional partners is a core requirement of the role.

Requirements

4–7 years of experience in Product Management, Business Analysis, Product Delivery, or related roles within SaaS or technology-enabled organizations, with demonstrated hands-on use of AI across the product lifecycle as a core part of day-to-day execution.
Demonstrated experience working closely with engineering teams in Agile/SCRUM environments, including applying AI tools to accelerate discovery, requirements development, delivery, and continuous improvement.
Strong experience with Jira, backlog management, workflow documentation, and release processes.
Experience with Figma, product analytics tools, and modern SaaS product workflows, including AI-enabled product management practices and tools; this experience is strongly preferred and hands-on AI fluency is required.
Experience in government, public sector, Healthcare, Human Services, or enterprise SaaS strongly preferred.
Relevant degree preferred (computer science, business, engineering, information systems, design, or related field).
Strong understanding of Agile, SCRUM, backlog management, and product delivery best practices.
Demonstrated, day-one proficiency with AI and agentic workflows in product management is required, including using AI to translate product ideas into clear user stories, automate product workflows, author acceptance criteria, and produce implementation-ready requirements.
Strong product judgment with the ability to balance customer needs, technical constraints, and business priorities.
Exceptional organizational skills with the ability to manage multiple workstreams and shifting priorities.
Strong problem-solving skills with the ability to resolve ambiguity quickly and confidently.
Excellent interpersonal and communication skills with the ability to influence across technical and non-technical teams, and coach others in effective ways of working.
Strong attention to detail and commitment to product quality.
Required working knowledge of AI applications, automation tools, and modern product development practices, including the ability to evaluate applicability across the product lifecycle and coach others on effective adoption.
Must be authorized to work in the U.S.

Nice To Haves

Experience with Figma, product analytics tools, and modern SaaS product workflows, including AI-enabled product management practices and tools; this experience is strongly preferred and hands-on AI fluency is required.
Experience in government, public sector, Healthcare, Human Services, or enterprise SaaS strongly preferred.
Relevant degree preferred (computer science, business, engineering, information systems, design, or related field).

Responsibilities

Translate product strategy, customer insights, and business priorities into execution-ready work for Engineering teams, using AI-enabled research, synthesis, and planning tools to improve clarity, speed, and quality across the product lifecycle.
Own and maintain healthy product backlogs, ensuring work is clearly prioritized, documented, and aligned with roadmap priorities, including the effective use of AI tools to accelerate backlog refinement, prioritization analysis, and documentation quality.
Write and maintain epics, user stories, workflows, acceptance criteria, and supporting documentation that enable efficient development and testing, demonstrating strong judgment in using AI to draft, refine, and improve implementation-ready product requirements.
Ensure sprint readiness by proactively clarifying requirements, identifying dependencies, and resolving ambiguity before development begins.
Partner with Engineering to balance scope, quality, timelines, and technical feasibility throughout development.
Support sprint planning, backlog refinement, standups, sprint reviews, retrospectives, and release planning as needed.
Partner with Lead Product Managers to validate concepts, requirements, workflows, and business assumptions before development begins, including evaluating where AI can materially improve the customer experience, team efficiency, or product outcomes.
Participate in customer interviews, workflow observations, usability sessions, and product demonstrations to understand real-world needs and pain points, and use AI tools to synthesize findings into clear opportunities, risks, and recommendations.
Gather feedback before, during, and after releases to inform iteration and continuous improvement.
Identify product gaps, usability issues, adoption barriers, and enhancement opportunities based on customer feedback and product performance.
Make data-driven recommendations to improve product usability, efficiency, adoption, and customer satisfaction over time, including recommendations for AI-enabled enhancements and workflow improvements grounded in customer value and operational practicality.
Partner closely with Engineering, QA, and Delivery teams to ensure requirements are complete, testable, and aligned with customer value, including clear acceptance criteria for AI-assisted workflows or AI-enabled product capabilities where applicable.
Review completed work prior to release to validate workflows, functionality, and acceptance criteria, with particular attention to reliability, explainability, and user experience for AI-enabled features and AI-assisted internal processes.
Support user acceptance testing, pilot programs, release validation, and production readiness activities.
Identify risks, gaps, or dependencies early to reduce avoidable rework and improve first-pass quality, including risks related to AI applicability, output quality, trust, adoption, and operational readiness.
Ensure releases meet product expectations, customer needs, and operational readiness standards.
Track product adoption, usage trends, customer feedback, and operational performance to help measure product success, including adoption, effectiveness, and business impact.
Support Lead Product Managers in evaluating product investments, prioritization decisions, and roadmap adjustments, feasibility, expected value, and delivery tradeoffs.
Contribute product insights related to packaging, positioning, workflow improvements, and customer value realization.
Help communicate product progress, risks, and outcomes to stakeholders across the organization, including the rationale, expected impact, and measured results of AI-enabled initiatives.
Use AI tools as a standard part of product management practice to improve product research, workflow design, documentation, analysis, and delivery efficiency; hands-on proficiency with AI and agentic workflows is required in this role.
Identify and drive opportunities to embed AI capabilities that improve customer workflows or operational efficiency, applying sound judgment about feasibility, trustworthiness, explainability, and measurable value.
Lead experimentation, prototyping, and process improvement efforts related to AI-enabled product development, and coach teammates on effective AI usage to accelerate broader adoption across the product organization.
Partner closely with Lead Product Managers, Engineering, Design, QA, Marketing, Sales, Customer Success, and Delivery teams to ensure coordinated execution and to advance effective adoption of AI-enabled practices across cross-functional workflows.
Communicate priorities, trade-offs, risks, and requirements clearly across teams, including educating stakeholders on AI capabilities, limitations, applicability, and implementation considerations relevant to the product lifecycle.
Escalate strategic prioritization, investment, or roadmap decisions to Lead Product Managers while independently driving day-to-day product execution decisions.
Promote and actively foster an inclusive, collaborative, and mission-driven culture that embraces practical AI adoption, continuous learning, and responsible innovation.

Benefits

Medical (includes H.S.A. option with employer contribution), dental, and vision insurance
Short- and long-term disability
Company paid basic life insurance
401(k) with 4% company match and immediate vesting
Free financial education and consultation
Wellness program that helps you earn lower premiums
Robust EAP program that includes free therapy sessions, lifestyle coaching, legal/ID theft services, and more
12 weeks fully paid parental leave
Up to $5,000 adoption fee reimbursement
$500 wellness reimbursement after 60 days of employment
Generous PTO policy and 10 company paid holidays
Company paid cell phone plan