Jobs / United States / Ridgeline INC

Ridgeline INC

Senior Staff AI Product Manager, Agent Foundry

San Ramon, CA; Reno, NV; New York, NY Posted today

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Skills this job asks for

LeadershipProduct managementA/B testingMachine learningLLMsCommunication

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 3 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Ridgeline INC paid sponsored hires in similar roles1 certified filing for “SVP, Product Strategy” (Marketing Managers) in CA: $272k–$272k, median $272k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 3 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Ridgeline INC paid sponsored hires in similar roles
1 certified filing for “SVP, Product Strategy” (Marketing Managers) in CA: $272k–$272k, median $272k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

Ridgeline is building AI capabilities that 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 leverage Ridgeline’s platform and solve important customer and business problems throughout the product. You will work closely with product, engineering, design, data, security, customer-facing teams, and leadership. At Ridgeline, how we work matters as much as what we build. We act like owners, choose growth over comfort, and communicate with transparency. We assume positive intent, bias toward action, and bring solutions—not just problems. We celebrate wins, learn from setbacks, and thrive in a resilient, collaborative, high-performing culture. The impact you’ll have • 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; establish 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 to make sound decisions across model and architecture choices, 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. • Follow practices for evaluating AI quality, safety, trust, and performance that help teams 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 with clarity and conviction, and handle complex customer and stakeholder conversations with poise. • Mentor and sponsor PM talent, share effective product practices, and help 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. What we’re looking for • 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: able 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. • A track record of influencing stakeholders across teams and functions

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