Senior Staff Product Manager

Ridgeline•San Ramon, CA

2d•Hybrid

About The Position

Ridgeline is building the next-generation operational platform for asset and wealth managers. As we scale, our data and integrations capabilities — how customers connect, extend, and compose workflows on Ridgeline — are becoming as strategically important as the core product itself. We're looking for a Product Manager to own the end-to-end extensibility strategy: the platform investments that make it easier and safer to build on Ridgeline than to build around Ridgeline. This role sits at the intersection of platform architecture, commercial strategy, and customer experience, and is responsible for driving alignment and execution across multiple engineering teams, product areas, and go-to-market stakeholders. You will own product management for extensibility end-to-end: strategy, roadmap, execution, commercial model, and everything in between, for a horizontal platform capability that touches every part of Ridgeline — from how customers onboard data, to how partners build integrations, to how AI-powered workflows access and compose across data sources.

Requirements

10+ years in product management, with at least 7 years owning platform, API, or developer experience products. You've built things that other teams and external developers build on.
Experience defining and shipping integration platforms, API products, or developer ecosystems — ideally in B2B SaaS or financial services.
Strong commercial instinct. You understand how platform products create value, how to price them, and how to structure partnerships. You've worked with GTM teams on packaging and monetization.
Ability to operate across altitudes — from strategic framing (board-level narrative on why extensibility matters) to tactical execution (specific connector prioritization, data contract schema design, API rate limit thresholds).
Track record of driving alignment across multiple engineering teams and stakeholders without direct authority. You build conviction through clarity, evidence, and relationships — not org chart lines.
Comfort with ambiguity and long time horizons. The extensibility strategy spans foundational infrastructure (now) through ecosystem and marketplace (later). You can hold the long-term vision while shipping near-term value.
Familiarity with AI/ML product patterns — particularly agentic workflows, MCP, and how AI interoperability is evolving. You don't need to be a researcher, but you should have informed opinions on how AI agents should interact with enterprise platforms.
Financial services domain knowledge is a plus but not required. What matters more is the ability to learn complex domains quickly and translate customer workflows into platform abstractions.

Responsibilities

Integrations Platform strategy and roadmap. Define and drive the vision for how all integrations — packaged, custom, inbound, outbound — are built, governed, monitored, and scaled. This includes the connector framework, data contracts, Integrations Hub (single-pane-of-glass control plane), and the overall governance model.
API & AI Interoperability product. Own the product direction for Ridgeline's API platform (tiering, rate limiting, commercial guardrails) and AI interoperability (MCP server, agentic workflow access). Define what "open by default, governed by design" means in practice.
Extensibility & data gravity vision. Drive the longer-term vision for how Ridgeline teams, certified partners, and customers compose tailored workflows and applications on the platform — including the apps marketplace, developer program, and natural-language-driven composition experience.
Data Foundation alignment. Partner closely with the Data Connectivity team (market data redistribution, custodian data) to ensure platform investments are sequenced and architected to support the extensibility strategy. You won't own market data & custodian data directly, but you'll be the connective tissue between data foundation work and the platform that exposes it.
Commercial model. Collaborate with GTM, Finance, and Product Strategy to define the commercial framework for integrations and data products — API tiering, data product pricing, partner economics, and marketplace monetization.
Cross-functional alignment. Serve as the single point of accountability for the unified extensibility strategy. Drive alignment across Engineering (API, Integrations, Platform), Product (domain teams whose features depend on integrations), CX (implementation velocity), and GTM (packaging, pricing, competitive positioning).