Senior Product Manager – Platform

Visier Solutions Inc•Vancouver, BC

2d•CA$140,000 - CA$170,000•Hybrid

About The Position

Visier is the global leader in Workforce Intelligence that powers every people decision. We bring Workforce AI to life for HR departments through our award-winning, agentic AI technology by surfacing the insights leaders need to plan, decide, and act with confidence in the moments that matter most. As the market leader in people analytics, workforce planning, organizational design, and manager effectiveness solutions, we fuel smarter decision-decision-making for organizations across the globe. Our mission is to help businesses lead with insight at scale as they continuously transform. Founded in 2010 by the pioneers of business intelligence, we have over 85,000 customers in 75 countries—including enterprises like BASF, Panasonic, Domino’s Pizza, Experian, Amgen, eBay, and Ford Motor Company. We're looking for an experienced Senior Platform Product Manager to own the foundational services that make our SaaS platform trustworthy, secure, and scalable — spanning user authentication, access control, AI infrastructure, and observability. Your work will directly determine whether enterprise customers can rely on our platform with confidence, and whether engineering teams can build on it with speed. You have a deep understanding of SaaS platform fundamentals — not just AI/ML, but the identity, security, and data integrity layers that underpin everything. You turn complex, often invisible platform needs into clear strategy and well-executed delivery. If you're excited by the challenge of building the platform that other products are built on, we encourage you to apply.

Requirements

Deep expertise in enterprise SaaS platform fundamentals: IAM, SSO/SAML/SCIM, RBAC/ABAC, API security, network access controls, and tenant administration.
Advanced understanding of AI/ML platform technologies: LLM serving, RAG architectures, model registries, and responsible AI tooling.
Extensive PM experience in AI/ML platforms, data infrastructure, or enterprise security — ideally in a multi-tenant SaaS environment.
Proven ability to navigate governance, compliance, and security challenges through pragmatic, well-scoped solutions.
Familiarity with enterprise and AI governance standards: SOC 2, GDPR, NIST AI RMF, ISO 42001, EU AI Act.
Ability to independently manage large-scope, cross-functional initiatives and translate strategy into executable roadmaps.
Excellent communication skills, including the ability to explain security and risk trade-offs to non-technical audiences.

Responsibilities

Define and prioritize initiatives across the AI platform layer — model serving pipelines, vector storage, embedding management, and LLM integration patterns.
Own the product vision for AI access control, model versioning, audit trails, output attribution, and data lineage — balancing innovation velocity with regulatory compliance including the EU AI Act, NIST AI RMF, and ISO 42001.
Ensure the AI platform scales with growing inference demands.
Develop and optimize monitoring and alerting covering model drift, hallucination rates, fairness signals, and system health — giving both engineering and business stakeholders timely, actionable intelligence.
Own how users authenticate and what they can access — SSO/SAML 2.0 with enterprise identity providers, auto-provisioning, SCIM, session management, and API-driven user administration.
Ensure our authentication surface meets the security standards of large, complex enterprise organizations.
Define how the platform governs what data users can see and what actions they can take.
Own least-privilege frameworks, administrator governance safeguards, and the security audit and reporting capabilities that enterprise customers rely on for compliance.
Own network-level access controls — trusted IP allowlisting, CIDR-based subnet restrictions, and API access governance — ensuring our platform meets the perimeter security requirements of enterprise security teams.