Smarsh Sites

Smarsh Sites

Senior Director, Product Management

US - Remote · Director

Sponsorship not specified$225k-$265kDetected 75 days ago
Machine LearningData ScienceProduct ManagementProduct StrategyCadenceLeadership

About the role

  • 10+ years of product management experience, with a track record of shipping product at enterprise scale.

Responsibilities

  • You will own product strategy and drive execution directly while leading a small team of product managers.
  • Maintain a clear view of the competitive landscape and develop differentiated positioning grounded in product reality.
  • Drive UX investment as a strategic lever, not a polish pass.
  • Work closely with Design to move from concept to delivered capability, with direct accountability for closing the gap between the platform's AI narrative and the actual experience compliance analysts have today.
  • Build the product strategy for programmatic extensibility, including integrations with external agents, policymaker prompting surfaces, and developer-facing documentation.
  • Partner with Engineering on capacity allocation, release readiness, and operational discipline.
  • You will bring specifications that are complete enough for engineering to build without coming back for clarification.
  • Partner with the AI/ML Product team on the handoff between AI/ML capabilities and the experience surface that exposes them.
  • Own the feedback routing requirements that make the compounding data flywheel work.
  • Partner with Professional Services and Customer Experience to translate customer pain into data-backed defensible priorities.

Requirements

  • you have managed PMs while still owning product work directly.
  • experience defining analyst or end-user workflows, not just feature requirements.
  • You have shipped products where the experience quality was differentiator.
  • Experience with enterprise SaaS products in regulated industries.
  • You are here to set the standard and do the work alongside the team.

Nice to have

  • Prior experience in financial services, compliance, legal technology, or another domain where AI explainability and auditability are not optional.
  • Experience commercializing AI or ML capabilities: translating model performance into product value, and product value into pricing and packaging decisions.
  • Experience owning products where the feedback loop between end users and AI models was a first-class product concern, not a data science pipeline.
  • Experience managing products with both a UI surface and a developer-facing surface simultaneously.
  • The two require different decision frameworks, and you have operated in both.
  • Experience in a PE-backed or exit-horizon company where product decisions are evaluated against near-term financial metrics alongside long-term platform value.
  • 401K Match: Smarsh provides a 4% 401K match for which employees are fully vested on day one.
  • Sabbatical: The Smarsh sabbatical programme provides a time to recharge, study or simply do something you are passionate about away from the workplace.

Compensation

  • $225k-$265k

Benefits

  • Product Strategy and Vision
  • Stock options.
  • Qualified applicants will receive consideration without regard to their race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Company info

  • 3+ years of management experience.
  • We are seeking a Senior Director, Product Management, to lead the analyst experience layer of our Surveillance platform.
  • define the API and integration surfaces that allow customers and partner teams to self-service and embed product capabilities.
  • Show up where customers are, not just where internal stakeholders are.
  • Studies have shown that some strong candidates may self-select out of the interview process prematurely, at Smarsh we encourage an inclusive, high-performing environment.

Equal opportunity

  • equal opportunity and affirmative action employer.

This listing is sourced directly from Smarsh Sites's careers page and normalized into a canonical job model.