Staff Product Manager, Technical (copy)

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Staff Product Manager, Technical based in the United States.

Join a fast-moving applied AI environment where product strategy meets advanced engineering to deliver meaningful business outcomes. As a senior product leader, you will own the full product lifecycle across major client engagements, from discovery and strategic planning to production launch. You will work closely with executive stakeholders, engineers, designers, and delivery teams to turn complex business challenges into impactful digital solutions. With a strong focus on AI-powered products, you will help organizations integrate intelligent solutions into their operations and accelerate innovation. You will drive product roadmaps, define success metrics, and make critical decisions that balance customer needs, technical feasibility, and business value. This role offers the opportunity to influence enterprise product strategy, mentor fellow product managers, and deliver production-ready AI solutions in an agile, collaborative environment. If you combine strategic thinking, technical curiosity, and a strong commitment to execution, this is an opportunity to shape the future of AI-driven product development.

Accountabilities

Product Strategy and Vision: Define product strategies and visions for major client engagements, ensuring alignment with business objectives, customer needs, and measurable outcomes.
Roadmap Ownership: Own product roadmaps from discovery through delivery, prioritizing initiatives according to business value, technical constraints, available resources, and timelines.
Discovery and Problem Framing: Lead complex discovery processes, facilitate stakeholder workshops, and identify the underlying business problems before committing to solutions.
Product Performance: Establish clear success metrics, analyze performance data, measure business impact, and use insights to refine product direction and priorities.
Cross-Functional Collaboration: Coordinate engineering, design, strategy, and delivery teams to maintain alignment, resolve dependencies, and ensure successful execution.
Client Advisory: Build trusted relationships with senior client stakeholders, communicate product recommendations and trade-offs, and guide executive-level decision-making.
AI-Driven Product Development: Incorporate AI tools into product discovery, research synthesis, documentation, and prototyping to accelerate workflows and validate hypotheses.
Technical and Product Leadership: Establish strong product management and delivery practices, address complex scope and prioritization challenges, and maintain high standards for product quality.
Mentorship and Team Development: Coach senior and mid-level product managers, strengthen product thinking and client advisory capabilities, and promote continuous improvement across engagements.
AI Innovation: Help clients explore and implement AI-powered products by translating emerging technologies into practical solutions that address real business needs.
Requirements
Professional Experience: At least 7 years of product management experience, ideally within consulting, professional services, or complex digital product delivery environments.
Product Strategy: Demonstrated success defining product vision, leading discovery, managing roadmaps, and delivering sophisticated digital products across multi-stakeholder organizations.
Technical Understanding: Experience working closely with engineering teams on technical products, with prior exposure to building or launching AI/ML-powered solutions.
AI Tool Proficiency: Hands-on experience using AI tools such as Claude to accelerate research, discovery, synthesis, documentation, and product development workflows.
Generative AI Knowledge: Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), prompt and context engineering, and the practical limitations of AI systems.
Product Management Tools: Proficiency with tools such as Jira, Productboard, Amplitude, and Miro to support discovery, roadmap planning, delivery, and performance measurement.
Prototyping Skills: Experience or willingness to prototype with tools such as Claude Code, Cursor, or GitHub Copilot to test product hypotheses and reduce delivery risks.
Business and Analytical Acumen: Ability to define meaningful product metrics, interpret data, evaluate trade-offs, and connect technical decisions to business outcomes.
Communication and Influence: Strong executive communication, stakeholder management, facilitation, and negotiation skills, with the ability to influence cross-functional teams without direct authority.
Leadership and Ownership: A proactive, accountable approach to problem-solving, with sound judgment, strong follow-through, and the ability to navigate ambiguity and competing priorities.
Adaptability and Learning: Curiosity about emerging AI capabilities, openness to feedback, and a commitment to continuously improving product practices and technical understanding.
Industry Experience: Experience in sectors such as consumer products and retail, education, energy, financial services, healthcare, or manufacturing is an advantage.
Location and Work Authorization: Must be based in the United States or Canada and authorized to work in the relevant country. Specific work authorization and sponsorship requirements should be confirmed during the application process.
Benefits
Competitive Compensation: The advertised salary range is $160,000–$220,000 USD annually for US-based positions and $130,000–$160,000 CAD annually for Canada-based positions. Actual compensation depends on experience, qualifications, location, and other relevant factors.
Comprehensive Health Coverage: Medical, dental, and vision insurance for eligible employees.
Retirement Benefits: Access to a 401(k) retirement plan for eligible employees.
Paid Time Off: Paid leave to support rest, personal commitments, and work-life balance.
Remote Flexibility: Work remotely from the United States or Canada, with flexibility to support productive and collaborative work.
Professional Growth: Opportunities to deepen expertise in AI-driven product management, enterprise technology, and strategic product leadership.
Collaborative Environment: Work alongside experienced professionals across product, design, engineering, and strategy in a high-accountability, delivery-focused culture.
Meaningful Impact: Help organizations solve complex business challenges and bring practical, production-ready AI solutions to market.
Inclusive Workplace: Equal employment opportunities and a commitment to fair hiring practices. Background checks may be required in accordance with applicable local laws.