Product Manager
Clearwater Analytics · Boise, ID · 2 wk ago
MarketingFull-time
Responsibilities
- Own the CIAM product roadmap end-to-end: define vision, prioritize capabilities, and drive delivery across authentication, authorization, SSO, user lifecycle management, and identity governance.
- Engage directly with external clients: speak with Clearwater clients to understand how they use shared platform services, gather feedback on existing capabilities, identify unmet needs, and translate client input into roadmap priorities across the portfolio.
- Expand and steward the Shared Services portfolio: as the team's mandate grows, take ownership of additional shared platform capabilities -- ensuring consistent product standards, clear service contracts, and reliable delivery across all services.
- Lead net-new product development: drive discovery, definition, and launch of new shared services, from identifying the problem space through to adoption by clients and internal teams.
- Manage a complex, multi-service backlog: balance client-driven requests, run-the-business (RTB) work, platform health improvements, and strategic new capabilities across CIAM and adjacent services.
- Serve as the connective tissue between engineering and stakeholders: translate needs from both external clients and internal product teams into clear requirements and communicate roadmap decisions back to all stakeholders with appropriate context.
- Define requirements and acceptance criteria: write user stories, epics, and feature specs that engineering can act on with clarity and confidence.
- Collaborate with engineering on platform design: engage on service architecture, integration patterns, technical design, and feasibility -- bringing a product perspective to infrastructure decisions.
- Establish and track success metrics: define what good looks like for each service across reliability, adoption, client satisfaction, and business impact -- and hold the roadmap accountable to those metrics.
- Communicate roadmap and releases: maintain a regular cadence of roadmap updates and release communications to clients, dependent product teams, and leadership.
- Partner on operational resilience: work with engineering on on-call coverage, incident response, and RTB priorities for critical platform services.
Requirements
- CIAM / identity domain expertise: strong understanding of CIAM concepts including authentication protocols (OAuth 2.0, OIDC, SAML), SSO, user lifecycle management, and identity security best practices. Direct product ownership of a CIAM platform is strongly preferred.
- Client engagement: comfortable engaging directly with enterprise clients across the full product lifecycle -- listening to feedback, running discovery conversations, presenting roadmaps, and translating client needs into actionable product requirements.
- Platform PM mindset: experience owning shared services or platform products that serve both external clients and internal teams as customers.
- Systems thinking: ability to reason about service contracts, integrations, and shared infrastructure, and understand how product decisions affect upstream and downstream teams.
- Cross-team stakeholder management: skilled at gathering requirements from and aligning priorities across multiple product teams with competing needs.
- Technical literacy: sufficient to engage credibly with engineers on architecture, service design, and infrastructure trade-offs. Coding not required.
- Backlog management: strong experience prioritizing a complex, multi-workstream backlog in an agile/scrum environment.
- Communication: excellent written and verbal communication skills; can translate technical decisions for clients and business stakeholders, and client needs for engineering.
- Data-driven prioritization: experience defining service-level metrics and using data to inform roadmap trade-offs.
- AI fluency: actively uses AI tools (e.g., Claude, Copilot, or equivalent) to accelerate PM workflows -- from writing specs and synthesizing research to analyzing feedback and drafting communications. Comfort with AI-assisted ways of working is expected.
Qualifications
- Bachelor's/master's degree in engineering or a related field.
- 4+ years of relevant experience.