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 . 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: $166,500-$208,500. The typical starting salary range for this role in the select locations listed above is: $183,500-$229,000. 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 for a more comprehensive overview of our perks and benefits. #LI-Hybrid

Requirements

Must-haves

You must be work authorized in the United States without the need for employer sponsorship.
What will you do?
Partner with Engineering on Ridgeline's distributed query platform to scale performant querying and analysis over large, complex, cross-domain datasets
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

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigoaws

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Benefits

Benefits detected in the listing.

Wellness