Principal Product Manager

Overview

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Peterson Technology Partners, is seeking a Principal Product Manager to turn advisor pain points into validated, high-impact AI use cases. This role is a critical member of Team_1 (Market Pull & Validation), responsible for deeply understanding advisor workflows, designing experiments, and providing evidence-based recommendations for what should be built.

Success is measured by the clarity, validity, and impact of use cases, and by how quickly they move from discovery to validated prototypes.

• Conduct in-depth research and interviews to uncover advisor pain points and workflows
• Translate findings into prioritized, actionable AI use cases
• Define success metrics and go/no-go criteria for experiments
• Collaborate with AI Experience Designers and Forward-Deployed Engineers to prototype solutions
• Partner with Head of AI Product to align on priorities and roadmap
• Document workflow patterns, adoption insights, and validation evidence
• Continuously iterate on experiments based on user feedback

• AI product leadership Experience owning and scaling AI-powered products from concept to production.
• LLM & model fluency Working knowledge of modern AI approaches (ML, LLMs, RAG, prompt design, evaluations, quality trade-offs).
• Experimentation & validation Ability to design experiments to validate product ideas and AI behavior before and after launch.
• User workflow discovery Proven strength in translating complex user workflows into effective AI-assisted experiences.
• Data-driven decision-making Defines and tracks success metrics across adoption, impact, and AI performance.
• Technical collaboration Credible partner to ML, engineering, design, and compliance teams on feasibility, risk, and delivery.
• Responsible AI awareness Understands bias, safety, privacy, and reliability considerations in AI products.
• Strategic prioritization Balances short-term delivery with long-term AI platform and product vision.

• 7+ years of product management experience, preferably in B2B or enterprise software
• Experience with AI, SaaS, and advisor-facing platforms.
• Strong analytical, research, and synthesis skills
• Excellent communication and documentation skills

• High-priority advisor workflows are clearly validated and actionable
• Experiments produce clear evidence for go/no-go decisions
• Prototypes effectively communicate workflow improvements
• Production teams can efficiently build and scale production-grade solutions based on validated use cases

Salary/Rate: $75-$80/Hour (depends on experience level). This is a contract position with candidates expected to work 40 hours/week.

Peterson Technology Partners (PTP) is an Equal Opportunity Employer committed to creating a transparent, inclusive, and human-centered hiring experience. For more than 27 years, PTP has operated as a premier Information Technology (IT) staffing, consulting, and recruiting firm built on trust, long-term partnerships, and technical excellence. Based in the Chicago suburb of Park Ridge, IL, our team of more than 500 employees and consultants is dedicated to helping every client make the best hiring decisions possible.

As part of that commitment, we believe in providing clear information about how our hiring technologies work and how your data is used. The following section outlines our AI-assisted interview process and your rights as a candidate.

To provide a consistent, fair, and flexible experience for all candidates, we use AI-assisted tools including our proprietary platform Pete & Gabi Rebecca to support parts of the interview process. These tools help us:

• transcribe interviews,
• summarize candidate responses,
• generate job-related insights
• streamline communication and scheduling.

Please note that

• AI does NOT make hiring decisions.
• All decisions are made by our human recruiters, hiring managers, or client partners.
• The AI does not evaluate facial expressions, emotions, or physical traits.
• It is used only to support fairness, consistency, and efficiency.

If you prefer a non-AI…