AI Product Manager (on-site)

Description

Alexander Group: The Go-to-Market Consulting Leaders

Alexander Group provides go-to-market consulting services to marketing, sales, service and talent leaders. With over 40 years of developing practical, executable solutions, we are singularly focused on helping commercial teams unlock their full potential and reach new revenue goals. With a robust network of offices, Alexander Group maximizes growth opportunities for our clients around the globe.

Founded in 1985, we’ve served more than 3,000 companies around the world, across all industries. This experience gives us not only a highly sophisticated set of best practices to design go-to-market strategy—we also have a rich repository of industry data that informs all of our recommendations.

Our dedication to revenue growth and sales strategy has led to:

• More than 70% of our clients being Fortune 500 corporations
• Project work in more than 25 countries
• Extensive industry experience in B2B markets

Position Overview:

The AI Product Manager owns AI solution design, successful implementation, and business outcomes in a fast-moving environment with rapid AI adoption to drive business results. Balances technical expertise with business solution design and stakeholder engagement.

Responsibilities:

• Solution Design: Owns understanding business requirements and processes to design new and innovative AI-enabled processes and solutions, in collaboration with business stakeholders and software engineers. Translates ambiguous needs into clear requirements, success measures, guardrails, and delivery priorities.
• Rapid Discovery: Using AI, leads rapid discovery and prototyping process, including creating proof-of-concept designs and agentic workflows to illustrate solution design options, gain stakeholder agreement, and provide models for technical design team to use as reference in design execution. Uses tools to enable faster iteration, proper documentation, and clear communication and direction on project scope and goals.
• Execution Partnership: Partners with engineering, data, IT, and business teams to execute AI solutions. Advises on build vs. buy decisions. Translates business needs into technical solutions for technical design team; Works with software engineers to verify that build meets business requirements; Designs UAT process and conducts or oversees testing, ensuring high performance and mitigation of AI risk.
• Delivery Accountability: Sets expectations for product delivery and outcomes, independently leads projects and drives change, aligns competing priorities. Owns AI solution launch readiness, rollout plan, evaluation, and outcomes.
• Product Management: Owns overall product quality and user experience; Continuously monitors AI products and solutions; Tracks and measures success. Owns designing product roadmap for continuous improvement of production AI experiences, based on solution performance and feedback. May also own solution upgrade execution directly, depending on technical scope. Ensures AI products are performing at a high level and delivering ROI.
• Team Leadership: Leads teams towards the outcome of successful AI solution implementation and operation; leads AI solution design, including coordinating with internal teams and stakeholders as needed; Is credible with technical and business audiences.

Requirements

• Eligible candidates must be fully authorized to work in the United States without current or any potential future need for visa sponsorship (TN visa will be accepted)
• Bachelors degree required; Masters preferred with proven track record of academic achievement
• AI Product Management Ownership: 5-7 years of product management experience delivering AI, machine-learning, and other complex technical products from discovery through production for internal stakeholders and/or external customers. Has personally driven AI initiatives and measured business results, demonstrating ROI; Proven record of being individually accountable for designing, executing, and measuring the success of initiatives, with demonstrated results
• AI Fluency: Has proven experience building AI solutions, in partnership with technical design teams, in enterprise environments for internal users or clients; Has advanced knowledge of AI LLM models, tools, limitations, and dependencies, including knowledge of how to implement AI solutions effectively and responsibly; Understands RAG, AI harness and context engineering, and creating agentic architectures and systems; Software engineering degree/background not required.
• Problem-Solving Capability: Has proven ability to create structure and design without full requirements and ability to adjust to a dynamic, ambiguous environment; Demonstrated skill in user discovery, problem framing, prioritization, experimentation, metrics, and evidence-based decisions.
• Stakeholder and Team Management: Demonstrated ability to lead within a matrixed approach and diverse set of stakeholders, understand their needs, and gain collaboration to deliver outcomes; Experience leading cross-functional teams and communicating technical concepts, product choices, and risks to technical and nontechnical stakeholders.

Salary Range: $200,000 – $220,000; bonus eligible

EEO Employer. Required Work Eligibility: Must be eligible to work in the U.S. at the time of application with no current or future restrictions or sponsorship necessary. TN visa accepted.

Salary Description

Salary: $200,000-220,000. Bonus eligible