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Note: The job is a remote job and is open to candidates in USA. Smarsh is seeking a Sr. Principal, Product Manager to own the agentic and platform capabilities of the Conduct platform. This senior individual-contributor role involves setting product direction, defining API surfaces, and ensuring non-functional requirements are met for regulated financial institutions.ResponsibilitiesOwn the strategy and roadmap for Conducts agentic and platform capabilities: the API, MCP, and headless workflow surfaces that serve both human users and AI agents on a unified workflow layer and audit trailDefine the API surface as product: alert queues, review actions, reason-code taxonomies, workflow configuration, and the programmatic contracts that agents call. These are product decisions, not engineering onesBuild the extensibility model: how sophisticated customers and external or agentic systems build on the platform, including developer-facing documentation and the packaging that frames what is a subscription tier, what is usage-based, and what justifies a premium price pointPartner with the AI/ML product team on the boundary between the intelligence layer and the workflow layer that agents call. Keep the workflow contract clean so agents call the Conduct workflow layer while the intelligence layer powers it from beneathOwn non-functional requirements as first-class product requirements: scale, performance, reliability, and the security posture that Tier 1 financial institutions require in diligence. Treat security, telemetry, and reliability as product surfacesTranslate the diligence and regulatory-examination bar of the world's largest banks into a defensible non-functional roadmap. In a regulated compliance product, a gap in any of these carries real riskDefine product requirements for agentic workflows such as review, analyst assist, auto-sampling, and automations, operating on the same behavioral data asset and audit trail as human usersEnsure every agent's action is captured, explainable, and defensible to the same standard as an analyst decision, so the audit trail holds up to regulatory examinationPartner with Engineering on capacity allocation, release readiness, and operational discipline. You bring specifications complete enough for engineering to build without coming back for clarificationPartner with AI/ML, Data Science, Professional Services, and Customer Experience to translate customer pain into defensible priorities. Show up where customers are, not just where internal stakeholders areMaintain a clear view of the competitive landscape and develop differentiated positioning grounded in product realitySet the standard for platform and API/MCP product craft on the product team: problem framing, evidence-based prioritization, and outcome measurement. You raise the bar through your own work and through influence, not through direct reportsMentor product managers on platform and agentic thinking. This is a dotted-line, lead-through-influence role, not a people-management oneSkills10+ years of product management experience, with a track record of shipping product at enterprise scaleDemonstrated API and platform product ownership: you have defined and owned developer-facing API surfaces or extensibility layers as product decisions and written the specs to prove itDemonstrated non-functional requirements ownership: you have shipped products where scale, performance, reliability, or security were product requirements you owned, not issues you delegated to engineeringExperience building for both human and programmatic or agentic consumers, or a strong adjacent track record. Familiarity with agent frameworks or MCP-style surfaces is a plusExperience with enterprise SaaS products in regulated industries. You understand what it means to ship software where wrong answers create legal or regulatory exposureA track record of leading through technical authority and influence without formal reports. You have set direction and standards that others followed because of the quality of your work, not your titleStrong written communication. You write product specs that engineering can build from and strategy documents that executives can act on. These are different documents and you know the differenceExperience working in a cross-functional model with Engineering, Design, and Data Science as genuine peers, not as service organizationsPrior experience in financial services, compliance, legal technology, or another domain where AI explainability and auditability are not optionalExperience commercializing AI or ML capabilities: translating model performance into product value, and product value into pricing and packaging decisionsExperience managing products with both a UI surface and a developer-facing surface simultaneously. The two require different decision frameworks, and you have operated in bothExperience with agent frameworks, MCP, or bring-your-own-model style extensibility as a product concernBenefitsHealthcare .