Senior Product Manager, Enterprise Platform
New
A
AboonRetirement fintech
This role is open to candidates based in the US.Full-TimeSenior
SalaryThe base salary range for this role is $220,000-$240,000 depending on experience, skills, and location. Total compensation also includes an annual bonus and equity.
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Job Details
- Experience
- 6+ years in product management
- Required Skills
- SQLProduct ManagementProduct AnalyticsSaaSRedshift
Requirements
- Have 6+ years of product management experience.
- Have meaningful experience in a fast-cycle SaaS environment.
- Have owned a platform or product serving enterprise partners and acted as the partner's primary product contact.
- Have experience running a product cadence with enterprise partners.
- Have shaped products collaboratively with Engineering and Design rather than handing off finished specifications.
- Be comfortable querying and analyzing product and usage data.
- Write crisp product narratives, partner-facing materials, and internal decision documents.
- Be comfortable with ambiguity and creating structure in an early-stage environment.
- Have hands-on experience using ChatGPT, Claude, Copilot, or similar AI tools in day-to-day work.
- Retirement, wealth, advisor-platform, or adjacent regulated fintech experience is preferred.
- Experience with compliance review as part of the build cycle is a plus.
Responsibilities
- Own the platform roadmap end to end, including feature sequencing, capability definition, and release planning.
- Reconcile partner-specific requests into platform decisions based on advisor needs, identifying what is shared, configured, or declined.
- Maintain context on partner commitments, platform architecture, partner requirements, and open decisions.
- Analyze usage, product, and feedback data using Redshift, Metabase, and PostHog, and measure adoption after releases.
- Serve as the day-to-day product contact for partner digital and product teams and run the product meeting cadence.
- Build credibility with senior partner stakeholders and navigate evaluations, security and compliance reviews, architecture discussions, and approval processes.
- Shape work with R&D by defining problems, options, and tradeoffs in workstream pages with embedded roadmap views.
- Partner with Engineering and Design on architecture, sequencing, and advisor-facing experiences.
- Work with Applied AI to evaluate whether platform AI agents solve identified problems while balancing cost.
- Coordinate release readiness with Strategic Partnerships, Partner Sales, Marketing, Plan Consulting, and Operational Enablement.
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