Senior Product Manager owning the B2B product experience at ELSA, focusing on enterprise clients. Collaborating with clients, engineering, and customer success for product improvements.
Responsibilities
End-to-end product development for the B2B segment — admin dashboards, learner engagement, manager reporting, LMS/SSO integrations, and onboarding flows for enterprise accounts
The engagement loop that keeps learners active after their first month — because disengagement in months 2–3 is where B2B churn begins
Product metrics tied to learning outcomes (e.g. proficiency score improvement) and account health (active learners, usage depth, renewal risk signals)
Zero-touch enrollment and scalable onboarding for large enterprise deployments — reducing CS burden and time-to-value for new accounts
Collaboration with the AI/ML team to surface personalized learning paths and coaching insights that administrators and L&D teams can act on
A clear, well-prioritized roadmap grounded in customer evidence, renewal data, and commercial impact — communicated directly to the CEO, Head of B2B, and enterprise clients
Voice of the customer inside PED — synthesizing feedback from CS, account managers, and client QBRs into concrete product decisions
Requirements
5+ years of product management in B2B SaaS or enterprise-facing digital products
Demonstrated experience driving measurable outcomes in enterprise accounts — activation, engagement, renewal, or expansion
Strong analytical instincts — comfortable working with product analytics (Amplitude, Mixpanel, or similar) and structured data to diagnose engagement gaps and prioritize interventions
Experience building or improving admin tools, reporting dashboards, or enterprise onboarding flows
Excellent written and verbal English; able to present roadmap trade-offs credibly to C-suite and to enterprise client stakeholders
High ownership mentality — you treat pipeline health and renewal rates like your own business
Strongly Preferred: Experience with HubSpot (Sales, Marketing, Service, Operations Hubs)
Experience with quoting engines, billing systems, or CPQ tools.
Familiarity with data warehouses and ETL pipelines principles.
Understanding of SaaS principles, challenges, and best practices.
Python knowledge to write custom scripts for data transformations or to interact with APIs.
AI tool familiarity LangChain, LLM orchestration frameworks, RAG pipelines, etc.
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