smarsh - Senior Director, Product Management
Requirements
• Own the end-to-end analyst experience: from alert surfacing to resolution, including explainability, reason code workflows, and audit trail completeness. • Drive UX investment as a strategic lever, not a polish pass. The analyst workflow directly affects model quality through the feedback loop. UX decisions have downstream data consequences. • 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 analysts have today. • API and Extensibility Product Ownership • Define and own the API surface: alert queues, review actions, reporting, reason code taxonomies, and workflow configuration. These are product decisions, not engineering ones. • Build the product strategy for programmatic extensibility, including integrations with external agents, policymaker prompting surfaces, and developer-facing documentation. • Establish the commercial packaging model for extensibility capabilities: what is a subscription tier, what is usage-based, and what justifies a premium price point. • Cross-Functional Leadership • 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 defensible priorities. Show up where customers are, not just where internal stakeholders are. • Team Leadership • Lead a small team of product managers as a player coach. Set standards through your own work, not through delegation. • Develop PM craft on the team: problem framing, evidence-based prioritization, and outcome measurement. This team needs a model to follow, not a manager to report to. • Own the team’s operating cadence, including sprint reviews, prioritization forums, and stakeholder communications. • 10+ years of product management experience, with a track record of shipping product at enterprise scale. • 3+ years of management experience. Player-coach: you have managed PMs while still owning product work directly. • Demonstrated UX product ownership: experience defining analyst or end-user workflows, not just feature requirements. You have shipped products where the experience quality was differentiator. • Demonstrated API product experience: experience defining and owning developer-facing API surfaces or extensibility layers as product decisions. You have written API product specs, not just API documentation. • Experience with enterprise SaaS products in regulated industries. You understand what it means to ship software where wrong answers create legal or regulatory exposure. • Strong written communication. You write product specs that engineering can build from strategy documents that executives can act on. These are different documents and you know the difference. • Experience working in a cross-functional model with Engineering, Design, and Data Science as genuine peers, not as service organizations. • 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.
Responsibilities
• Product Strategy and Vision • Define and evolve the platform strategy, roadmap, and capability priorities across analyst experience, workflow infrastructure, and extensibility surfaces. • Translate AI and ML capabilities into a product experience that compliance analysts can use and regulators can audit. • Own the product extensibility strategy: define the API and integration surfaces that allow policy makers and analyst teams to extend product capabilities without requiring Smarsh engineering intervention. • Maintain a clear view of the competitive landscape and develop differentiated positioning grounded in product reality.
Benefits
• Healthcare insurance: We provide medical, dental, and vision insurance, and a flexible spending account that allows you to set aside pre-tax dollars to pay for eligible out-of-pocket expenses. • Personal time off: A healthy work-life balance is critical to your success at the office. Smarsh offers a “take-what-you-need” time off policy as well as flexible work arrangements. • 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. Employees are eligible after six years of service. • Recognition: We’re big on kudos for a job well done. Our employee-recognition programme enables co-workers to nominate their peers who best embody our core values for recognition.
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