Product compliance leader ensuring Canada Goose apparel, textiles and footwear meet global safety and regulatory standards. Leading chemical management, testing, labelling, supplier compliance and a high - performing team.
About the role
- Lead Product Manager owning Juniper Square’s AI agent runtime, evaluations, and governance platform. Enabling private-markets fund administration teams to deploy reliable automations.
Responsibilities
- Own the vision, strategy, and roadmap for Foundry’s agent runtime and evaluation layer
- Define the lifecycle for agents, apps, and scripts: draft, test, publish, version, deploy, run, observe, improve, and retire
- Define evaluation processes using golden datasets, data labeling, regression gates, automated judges, and human review
- Shape model eligibility, routing, cost attribution, and pricing for automations
- Define agent memory, learning, self-improvement, identity, access grants, and run modes
- Integrate hosted agents with Juniper Square products, fund administration systems, and third-party tools
- Design oversight tools including dashboards, run history, traces, metrics, logs, kill switches, and auditability
- Partner with the workflow orchestration PM on agent registries, typed contracts, and workflow bindings
- Build configuration tools for business SMEs to configure, test, and tune automations
- Track the managed agent runtime, framework, and automation-platform market and make build, buy, and partner decisions
- Lead across platform and adjacent teams and guide ambiguous platform tradeoffs
- Report to the Group Product Manager for Foundry and work with a dedicated engineering team
- Deliver real fund administration workflows and automations on Foundry, including capital calls and distributions
Requirements
- 7+ years of product management experience in B2B or Enterprise SaaS, including 3+ years operating in an AI-oriented role
- Proven experience owning a complex product area end-to-end, from strategy and roadmap through execution and iteration, ideally in a zero-to-one context
- Hands-on understanding of agent evaluation, including golden datasets, data labeling, automated judges, regression testing, and human-in-the-loop decisions
- Background building agents and replacing human-driven processes with products and automation, with real evaluation and monitoring discipline in production
- Strong engineering partnership and understanding of typed contracts between agents and workflows, structured and deterministic outputs, and agent memory
- User empathy for non-engineering builders and operators overseeing large numbers of automated agents
- Fluency with LLMs and common AI tools such as Claude and Cursor
- Ability to run prototypes and use AI tools to accelerate product work
- Strong written and verbal communication skills
- Track record of leading through influence, ideally mentoring or managing other product managers, and setting strategy across multiple teams
Benefits
- Health, dental, and vision care for you and your family
- Life insurance
- Mental wellness coverage
- Fertility and growing family support
- Flex Time Off in addition to company-paid holidays
- Paid family leave, medical leave, and bereavement leave policies
- Retirement saving plans
- Allowance to customize your work and technology setup at home
- Annual professional development stipend
- Equity
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