Senior Staff AI Product Manager, Agent Foundry

Ridgeline•Reno, NV

2d•$198,000 - $272,500

About The Position

Ridgeline is building AI capabilities to help investment management firms work with greater speed, confidence, and scale. As a Senior Staff AI Product Manager on the Agent Foundry team, you will lead major AI product initiatives that use Ridgeline’s platform to solve customer and business problems across the product. You will work closely with product, engineering, design, data, security, customer-facing teams, and leadership. The role owns product direction and the roadmap for Ridgeline’s agentic capabilities, leading high-visibility, multi-squad initiatives from discovery through launch, adoption, and ongoing improvement. It involves identifying valuable customer problems, making decisions about AI models, architecture, orchestration, evaluation, integrations, reliability, and user experience, and translating ambiguous opportunities into executable plans. The role also uses customer research, product data, experiments, and operational insight to validate hypotheses, manage risk, and demonstrate impact. The Senior Staff AI Product Manager champions outcome-focused delivery and helps teams plan, build, evaluate, and scale AI capabilities throughout the product lifecycle. The role influences priorities across product and platform teams, mentors and sponsors product management talent, promotes responsible AI adoption, and represents Ridgeline in relevant customer, partner, and industry settings.

Requirements

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 the ability to set direction for a substantial product area, prioritize investment, and connect roadmap choices to business value.
Practical understanding of AI/ML product development, including familiarity with LLM-based products, agent or workflow patterns, evaluation, and the operational considerations of production AI.
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 relying on formal authority.
Clear, persuasive communication skills, including the ability to explain 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 working 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 clear goals and measures of success.
Identify and prioritize customer problems where AI agents and platform capabilities can create meaningful, 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 across 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.