Senior Staff AI Product Manager, Agent Foundry

Ridgeline • Reno, NY

1d

About The Position

Ridgeline is seeking a Senior Staff AI Product Manager for its Agent Foundry team to lead major AI product initiatives that use Ridgeline’s platform to address customer and business problems across the product. The role works closely with product, engineering, design, data, security, customer-facing teams, and leadership. It owns product direction and the roadmap for agentic capabilities, aligning customer and operational needs with platform strategy, technical realities, and business outcomes.

The position leads high-visibility, multi-squad initiatives from discovery through launch, adoption, and ongoing improvement. It identifies and prioritizes opportunities for AI agents in investment management workflows; partners on model and architecture decisions, orchestration, evaluation, integrations, reliability, and user experience; and turns ambiguous opportunities into executable plans. The Senior Staff AI Product Manager uses customer research, product data, experiments, and operational insight to validate hypotheses, manage risk, and demonstrate impact. The role also promotes responsible AI, outcome-focused delivery, cross-functional alignment, and the development of product management practices and talent.

Ridgeline describes its culture as collaborative, high-performing, resilient, transparent, and action-oriented. The company is headquartered in Lake Tahoe, with offices in New York, Reno, the Bay Area, and Dublin, Ireland. The posting is for an existing vacancy. Ridgeline is an equal opportunity workplace and processes applicant information according to its Candidate Privacy Policy.

The typical starting salary range is $198,000–$247,500. In select locations, including the San Francisco Bay Area and New York City Metro Area, the range is $218,000–$272,500. Final compensation depends on factors including experience and expertise. Employees may participate in the Company Stock Plan, subject to the applicable Stock Option Agreement. Benefits include unlimited vacation, educational and wellness reimbursements, and $0-cost employee insurance plans.

Requirements

• At least 8 years of product management experience, including leadership of complex enterprise software, platform, data, or AI product initiatives.
• Demonstrated success delivering significant cross-functional product capabilities from discovery through launch and adoption, with measurable customer or business outcomes.
• Strong product judgment and strategic execution, including setting direction for a substantial product area, prioritizing investment, and connecting roadmap choices to business value.
• Practical understanding of AI/ML product development, including familiarity with LLM-based products, agent or workflow patterns, evaluation, and production AI operational considerations.
• Ability to work effectively with engineering and design partners on technical trade-offs, platform constraints, scalability, reliability, and user experience.
• Skill in using customer evidence, product data, and experimentation to make decisions and communicate risks and trade-offs.
• Track record of influencing stakeholders across teams and functions, building trust, and driving alignment without formal authority.
• Clear, persuasive communication skills, including explaining complex technical and AI concepts to technical and business audiences.
• Sound judgment around responsible AI, including privacy, security, quality, transparency, and human oversight.

Nice To Haves

• Experience building multi-tenant AI platforms, agent frameworks, or enterprise AI products.
• Familiarity with investment management workflows, financial services, or complex data-intensive business processes.
• Experience with model evaluation, observability, governance, or AI cost and performance optimization.
• Experience collaborating with external technology partners, vendors, or research organizations.

Responsibilities

• Own product direction and roadmap for Ridgeline’s agentic capabilities, aligning customer and operations needs, platform strategy, technical realities, and business outcomes.
• Lead high-visibility, multi-squad initiatives from discovery through launch, adoption, and ongoing improvement, establishing goals and measures of success.
• Identify and prioritize customer problems where AI agents and platform capabilities can create differentiated value in investment management workflows.
• Partner with engineering, design, data, and security on decisions involving models, architecture, orchestration, evaluation, integrations, reliability, and user experience.
• Translate ambiguous opportunities into executable plans, make high-impact trade-offs, manage dependencies, and secure cross-functional alignment and resources.
• Use customer research, product data, experiments, and operational insight to validate hypotheses, manage risk, and demonstrate customer and business impact.
• Apply practices for evaluating AI quality, safety, trust, and performance to help deliver useful, reliable, enterprise-ready experiences.
• Champion outcome-focused delivery and improve how teams plan, build, evaluate, and scale AI capabilities throughout the product lifecycle.
• Influence priorities across product and platform teams, communicate decisions clearly, and handle complex customer and stakeholder conversations.
• Mentor and sponsor product management talent, share effective product practices, and strengthen product management across Ridgeline.
• Promote responsible AI adoption through practical guidance, thoughtful experimentation, and transparent communication about capabilities and limitations.
• Represent Ridgeline in relevant customer, partner, and industry settings, contributing practical insight on AI product development.

Benefits

• Unlimited vacation.
• Educational reimbursements.
• Wellness reimbursements.
• $0-cost employee insurance plans.
• Participation in the Company Stock Plan, subject to the applicable Stock Option Agreement.
• Opportunities for career advancement.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed