Sr. Principal, Product Manager - Agentic & Platform

Conduct is Smarsh's compliance platform for regulated financial institutions, and this role owns how it opens up to programmatic consumers. You will decide what the headless workflow, API and MCP surfaces look like, which contracts agents can invoke, how extensibility is documented and packaged, and where the line sits between the workflow layer agents talk to and the AI/ML intelligence layer underneath it. The brief is explicit that these contracts are product decisions, not something handed to engineering after the fact.

The second half of the mandate is platform readiness. Tier 1 banks put security, multi-tenancy, scale, performance and reliability through diligence before a deal closes, and this PM owns that non-functional roadmap. It is a senior IC position with no direct reports: you set direction, write the specs yourself, and lead through craft and influence while working alongside Engineering, Data Science, AI/ML, Professional Services and customer-facing teams.

What you will do

• Own roadmap and strategy for the agentic and platform side of Conduct: headless workflow, API and MCP surfaces serving people and AI agents through one workflow layer and a shared audit trail.
• Treat the API surface as a product, deciding how workflow configuration, reason-code taxonomies, review actions, alert queues and the contracts agents invoke should work, rather than leaving those calls to engineering.
• Shape the extensibility model for advanced customers and external or agentic systems, covering developer documentation and the packaging logic for what belongs in a subscription tier, what is usage-priced and what earns a premium.
• Work with the AI/ML product team to keep a clean boundary where agents call the workflow layer and the intelligence layer powers it from below.
• Own security, multi-tenancy, reliability, performance and scale as first-class product requirements, and convert the diligence and regulatory-exam bar of the largest banks into a non-functional roadmap you can defend.
• Write requirements for agentic workflows (automations, auto-sampling, analyst assist and review), all running on the same behavioural data and audit trail human analysts use.
• Make sure every agent action is recorded, explainable and defensible to the standard expected of an analyst's own decision, keeping the audit trail robust under regulatory examination.
• Partner with Engineering on capacity, release readiness and operational discipline, supplying specs complete enough to build from without a round of clarification.
• Work with Customer Experience, Professional Services, Data Science and AI/ML to turn customer pain into priorities, spend time with customers directly, and maintain differentiated positioning grounded in what the product really does.
• Define what good platform and API/MCP product craft looks like across the product team and mentor other PMs on agentic thinking, through influence rather than line management.

What the employer is looking for

• 10+ years in product management with a record of shipping products at enterprise scale.
• Proven ownership of extensibility layers or developer-facing API surfaces, treated as product decisions, with the specs to show for it.
• Direct ownership of non-functional requirements on products you shipped, where security, reliability, performance or scale sat with you rather than being delegated to engineering.
• Experience building for human users alongside programmatic or agentic consumers, or a strongly adjacent background; knowing MCP-style surfaces or agent frameworks counts in your favour.
• Enterprise SaaS experience in regulated industries, where a wrong output can create legal or regulatory exposure.
• A history of setting direction and standards that others adopted on the strength of your work, without holding formal reports.
• Strong writing across two distinct formats: specs that engineering builds from, and strategy papers that executives act on.
• Comfort in a cross-functional model where Engineering, Design and Data Science operate as peers rather than service teams.

Good to have

• Background in legal technology, compliance, financial services or another field where AI explainability and auditability are mandatory.
• Experience commercialising AI or ML capabilities, linking model performance to product value and then to pricing and packaging.
• Prior ownership of a product with both a UI and a developer-facing surface, and the different decision frameworks each demands.
• Exposure to MCP, bring-your-own-model or agent-framework extensibility handled as a product concern.

Benefits and compensation

• Medical, dental and vision insurance, plus a flexible spending account for pre-tax eligible expenses.
• Stock options.
• Flexible, take-what-you-need PTO and flexible work arrangements.
• 4% 401(k) match, fully vested from day one.
• Sabbatical programme available after six years of service.
• Peer-nominated employee recognition programme tied to company values.

About Smarsh

Smarsh builds Conduct, a compliance platform used by regulated financial institutions, including the largest Tier 1 banks, where the product has to clear diligence and regulatory examination. The company is now extending Conduct with API, MCP and headless surfaces so customers and AI agents can act on the same behavioural data and audit trail as human analysts. Employees get stock options, a vested 401(k) match, flexible time off and a sabbatical after six years.