Product Operations Manager

Our company sits at an inflection point. Serving the investment management industry from the heart of New York, we have the product depth and client relationships to become the defining product-led platform in our space. The Product Operations Leader will be the connective tissue across all senior Product leaders and their teams — driving the cadences, frameworks, and discipline that turn strong product vision into predictable, client-centric delivery. This is a strategic role for someone who understands how great product organizations work, who can influence without direct authority, and who thrives in the complexity of regulated financial services markets serving Insurance companies, Asset Managers, Hedge Funds, and Asset Owners.

• Own and champion the product-led growth (PLG) operating model, translating strategy into concrete programs, KPIs, and rituals across all product lines.
• Define and institutionalize PLG metrics — activation rates, time-to-value, expansion revenue, product-qualified leads or cohorts.
• Partner with Sales, Marketing, and Client Services to rebalance handoffs so that product usage data drives pipeline and retention decisions.

• Design and steward the end-to-end product operating rhythm: quarterly and annual planning, roadmap reviews, portfolio prioritization, program setting, and retrospectives.
• Create and maintain a single source of truth for product portfolio health — roadmap status, capacity, risk, and strategic alignment — surfaced to leadership in a consistent, trusted format.
• Standardize product development processes (discovery, definition, delivery, measurement) across all product lines with consistency.
• Own the product operations toolkit (Aha, Jira, Confluence, or equivalent), ensuring consistent usage, clean data, and meaningful reporting.
• Build a product analytics framework tracking adoption, engagement, retention, and expansion metrics for each product line.
• Partner with R&D Data Analytics team to establish reliable pipelines from product telemetry, CRM, and client feedback — delivering executive dashboards that quantify transformation progress.

• Act as a trusted advisor to each Senior Product Leaders on topics ranging from roadmap strategy to stakeholder management.
• Lead cross-functional rituals — product reviews, launch readiness assessments, and retrospectives — bridging Product, Engineering, Sales, Marketing and Client Services.
• Develop internal enablement materials — competitive positioning, product narratives, value frameworks — so go-to-market teams can articulate product value without requiring custom feature commitments.

• Apply knowledge of investment management workflows, regulatory dynamics, and enterprise FinTech procurement cycles to calibrate product practices.
• Champion a user-research culture with genuine insight into the decision-making realities of portfolio managers, risk officers, compliance teams, and C-suite buyers.

• Identify and evaluate opportunities to embed AI and machine learning capabilities into products — from intelligent automation and predictive analytics to generative AI features that enhance client workflows.
• Establish frameworks for evaluating AI use cases across the product portfolio, ensuring initiatives are prioritized by client value, feasibility, and competitive differentiation.
• Partner with Product leaders to integrate AI-assisted tooling into the product development lifecycle — accelerating discovery, prototyping, testing, and delivery.
• Stay current on AI trends relevant to investment management (e.g., AI-driven risk models, automated compliance monitoring, intelligent document processing) and translate insights into actionable product opportunities.
• Champion responsible AI practices — ensuring transparency, explainability, and regulatory compliance in all AI-powered product features.

• 7–10 years of progressive experience in Product Operations, Product Management, or a closely related operational role within a B2B technology or SaaS company.
• Demonstrated experience in investment management technology or financial services platforms serving Insurance, Asset Management, Hedge Fund, or Asset Owner clients.
• Proven track record of building or scaling product operations functions — not just inheriting them — with experience supporting a product-led transition.
• Strong understanding of AI and machine learning concepts, with hands-on experience evaluating or operationalizing AI capabilities within a product organization.
• Strong analytical mindset — comfortable owning KPI frameworks, building dashboards, and turning raw data into actionable insights.
• Exceptional ability to influence without authority; high emotional intelligence and credibility with senior peers.
• Outstanding communication skills — written, verbal, and visual — able to translate operational complexity into clear narratives for executives.

• Familiarity with PLG frameworks (product-qualified leads, usage-based pricing, trial-to-paid funnels) in an enterprise context.
• Experience with tools such as Aha, Jira, Pendo.
• Experience with AI/ML platforms or tooling (e.g., OpenAI, AWS Bedrock, Databricks, Vertex AI) and familiarity with how AI is transforming financial services products.
• Working knowledge of Agile, Dual-Track, or JTBD methodologies.
• MBA or equivalent advanced degree, or commensurately deep operational experience.

Salary Range

This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health/vision/dental insurance, 401(k), PTO, parental leave, and medical leave, STD/LTD insurance benefits. Clearwater Analytics is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.