---
title: 'Staff Product Manager, Data Intelligence at Ridgeline'
canonical: 'https://feeny.ai/job/staff-product-manager-data-intelligence-ridgeline-san-ramon-at0edah6m45y'
type: 'job'
last_seen: '2026-10-18'
---

# Staff Product Manager, Data Intelligence at Ridgeline

- **Company:** Ridgeline
- **Location:** San Ramon, CA / New York, NY / Reno, NV
- **Posted:** 2026-10-12
- **Last confirmed live:** 2026-10-18
- **Apply:** https://boards.greenhouse.io/ridgeline/jobs/8005755003?gh_jid=8005755003

## Job description

Are you excited about owning the reporting and data-querying infrastructure that powers how investment firms explore and rely on their data? If so, we invite you to join our innovative team. As a Staff Product Manager on Ridgeline's Data Intellgience team, you'll own product discovery and delivery for the Reporting Engine, Report Builder's data layer, and the Historical Data Archive. You'll partner with engineering on our distributed query platform to enable scalable, performant querying and reporting over complex, cross-domain datasets, and help curate that data as a governed, trusted product that other teams — and increasingly AI agents — can rely on.

You must be work authorized in the United States without the need for employer sponsorship.

What will you do?

- Curate and govern the datasets and data models the team exposes to Reporting Experience and other consumers, ensuring they carry consistent structure, provenance, freshness, and quality signals that both people and downstream software can trust
- Partner with Engineering on Ridgeline's distributed query platform to scale performant querying and analysis over large, complex, cross-domain datasets
- Partner with domain teams (Accounting, Performance, Market Data, and others) to identify which reporting concepts need a shared, governed definition versus which should remain owned by a single domain, working within Ridgeline's broader shared data foundation
- Write clear use-case documents, PRDs, and product definitions that make Reporting Data Curation's promises to its consumers concrete and testable
- Partner closely with Reporting Experience and Reporting Workflow to ensure Reporting Data Curation's roadmap reflects real customer and product needs
- Support customer go-lives and respond to enhancement requests from existing customers, partnering with Customer Experience and Support
- Use AI tools (e.g., Claude, ChatGPT, Glean) throughout the product lifecycle for research synthesis, requirements drafting, and documentation
- Think creatively, own problems, seek solutions, and communicate clearly along the way
- Contribute to a collaborative environment deeply rooted in learning, teaching, and transparency

Desired Skills and Experience

- 5+ years of experience in product management or a similar function, with a track record of owning and shipping larger, cross-functional features or platform capabilities
- Comfort engaging with engineering on data architecture, query performance, and platform tradeoffs, without needing to be an engineer yourself
- Ability to write clear, specific, testable product definitions, PRDs, and use cases with minimal churn
- Strong fintech or enterprise SaaS domain knowledge, ideally with exposure to investment reporting, portfolio accounting, or data/query platforms
- Demonstrated ability to influence product direction through data-driven insight and clear communication with both technical and business stakeholders
- Excellent organizational and analytical skills, with the ability to take initiative, manage ambiguity, and build strong cross-functional relationships
- A self-motivated, strong collaborator who can manage competing stakeholder needs and communicate tradeoffs effectively
- Active use of AI tools as part of your day-to-day PM workflow
- Ability to communicate effectively with colleagues and customers at all levels
- Serious interest in having fun at work

Bonus

- Experience with distributed query engines (e.g., Trino, Spark), data curation, or data governance
- Experience with investment reporting, client statements, or performance analytics
- CFA Charter, CIPM, or similar designation
- Familiarity with AWS, APIs, and modern cloud/data platform concepts

## About Ridgeline

Ridgeline is headquartered in Lake Tahoe, with offices in New York, Reno, the Bay Area, Dublin Ireland. Ridgeline is recognized by Fast Company as a “Best Workplace for Innovators,” by Frost & Sullivan as a “Technology Innovation Leader,” and by The Software Report as a “Top 100 Software Company.”

Ridgeline is proud to be a community-minded, discrimination-free equal opportunity workplace.

Ridgeline processes the information you submit in connection with your application in accordance with the [Ridgeline Candidate Privacy Policy](http://ridgeline.ai/legal/candidate-privacy-policy). Please review the Ridgeline Candidate Privacy Policy in full to understand our privacy practices and contact us with any questions.

This posting is for an existing vacancy.

## Compensation and Benefits

The typical starting salary range for new hires in this role is listed below. In select locations (including, the San Francisco Bay Area, CA, and the New York City Metro Area), an alternate range may apply as specified below.

The typical starting salary range for this role is: $136,000-$170,000.

The typical starting salary range for this role in the select locations listed above is: $149,500-$187,000.

Final compensation amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amount listed above.

As an employee at Ridgeline, you’ll have many opportunities for advancement in your career and can make a true impact on the product.

In addition to the base salary, Ridgeline employees can participate in our Company Stock Plan subject to the applicable Stock Option Agreement. We also offer rich benefits that reflect the kind of organization we want to be: one in which our employees feel valued and are inspired to bring their best selves to work. These include unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans. Please check out our [Careers page](https://www.ridgelineapps.com/about/careers) for a more comprehensive overview of our perks and benefits.

#LI-Hybrid

## About Ridgeline

## Company Overview
- **One-liner**: Ridgeline is an AI-native industry cloud platform purpose-built for investment management, unifying front, middle, and back office workflows in a single system.
- **Entity Type**: Private (funding stage not disclosed)
- **Headquarters**: Incline Village (Lake Tahoe), Nevada, USA
- **Founded**: Not publicly available (founded by Dave Duffield after his tenure at Workday and PeopleSoft)
- **Founders**: Dave Duffield (Founder and Chairman)

## Core Business
- **Primary industry**: Investment management technology / Fintech
- **Target customers**: B2B – investment management firms (asset managers, hedge funds, etc.)
- **Mission/purpose**: Give investment managers a competitive advantage with modern technology purpose-built for the industry, combining data, workflows, and AI in one platform.

## Products & Services
All offerings are part of a single cloud-native SaaS platform:
- **Ridgeline Platform**: A unified front-to-back system with modules for portfolio construction, trading, compliance, reconciliation, portfolio accounting, reporting, client engagement, revenue management, and workflow management.
- **Ridgeline Intelligence**: AI-powered capabilities including agentic digital coworkers that automate repetitive tasks, natural language querying of data, and embedded analytics.
- **Reconciliation Engine**: Automated start-of-day reconciliation against a trusted custodial data network.
- **Electronic Trading**: Integration with NYFIX, dark pools, and broker algorithms; post-trade dashboard for CTM/local matches and FIX allocation status.
- **Compliance**: Pre- and post-trade compliance engine configurable at firm, account, and regulatory levels.

## Market Standing
- **Valuation / Market Cap**: Not publicly available
- **Key Metric**: Over 400 employees (as of mid-2026); funding rounds not disclosed
- **Notable Investors / Partners**: Not publicly disclosed; board includes Dave Duffield and other executives. Platform integrates with NYFIX and major custodians/brokers.
- **Growth Signals**: Expanded from founding team to 400+ employees across four US offices + remote; rebranded to ridgeline.ai to signal AI-native evolution; continuous product launches (AI workflows, intelligence features in June 2026).

## Competitive Advantages
- **AI-native platform** built from the ground up in the public cloud (not retrofitted legacy tech).
- **Single source of truth** – one platform for front, middle, and back office eliminates data silos.
- **Domain expertise** – founded by enterprise software veterans (PeopleSoft, Workday) who understand complex operational workflows.
- **Real-time data and embedded intelligence** directly in the flow of work, reducing manual effort and risk.

## Strategic Focus
- Deepening AI capabilities: Ridgeline Intelligence, agentic coworkers, and automated reconciliation.
- Expanding the platform’s breadth to cover more investment management workflows.
- Attracting top engineering and domain talent to maintain competitive edge.
- Building a strong partner ecosystem (custodians, brokers, data providers).

## Why Work Here
- **Culture**: High agency, growth mindset, bias towards action, “brilliant jerks not welcome.” Emphasis on trust, transparency, and solving hard problems.
- **Remote/Hybrid**: Offices in Incline Village (NV), Reno (NV), San Ramon (CA), New York (NY); select remote roles available.
- **Perks & Benefits** (from careers page):
  - Unlimited vacation
  - $0 premiums for employee-only medical, dental, vision
  - 12-week paid parental leave (primary and secondary caregivers)
  - $1,500 annual education reimbursement
  - $800 annual wellness reimbursement
  - Fertility coverage (through Progyny)
  - 401k with company match
  - Stock option grants
  - Dog-friendly offices
- **Team**: Over 400 employees; actively hiring for engineering, sales, consulting, and support roles.

## Sources
1. [ridgeline.ai – About](https://ridgeline.ai/company/about)
2. [ridgeline.ai – Homepage](https://ridgeline.ai/)
3. [ridgeline.ai – Careers](https://ridgeline.ai/company/careers)
4. [ridgeline.ai – Leadership](https://ridgeline.ai/company/leadership)
5. [linkedin.com – Ridgeline](https://www.linkedin.com/company/ridgelineai)

## Other roles at Ridgeline

- [Senior Engineer, Custodian Data](https://feeny.ai/job/senior-engineer-custodian-data-ridgeline-new-york-ga95vnyt8db9) — New York, NY
- [Senior Technical Consultant](https://feeny.ai/job/senior-technical-consultant-ridgeline-reno-7vn2853jfm79) — Reno, NV / San Ramon, CA / New York, NY / United States
- [Sales Executive](https://feeny.ai/job/sales-executive-ridgeline-dallas-8909s4xcw7r0) — Dallas, TX / Austin, TX / Atlanta, GA / Miami, FL
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- [Technical Support Lead, Trading Operations](https://feeny.ai/job/technical-support-lead-trading-operations-ridgeline-dublin-ay3k22fs4q95) — Dublin, Ireland
- [Sales Executive](https://feeny.ai/job/sales-executive-ridgeline-philadelphia-4r4xe7p9n20j) — Philadelphia, PA / Boston, MA
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- [Financial Systems Analyst](https://feeny.ai/job/financial-systems-analyst-ridgeline-san-ramon-wrrn3jcszrwt) — San Ramon, CA / Reno, NV / New York, NY
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