Product Manager, AI Investment Solutions

Sagard Overview

Sagard is a multi-strategy alternative asset management firm active in venture capital, private equity, private credit, and real estate. Sagard also engages in private wealth management through Sagard Wealth.

Founded in 2016 and guided by the core values of entrepreneurship, innovation, collaboration, rigour, and authenticity, Sagard has experienced strong growth. Today, the firm has more than US$32 billion under management, 190 portfolio companies, and 440 professionals.

Headquartered in Canada, Sagard has offices across Canada, the United States, Europe, and the Middle East.

More at https://www.sagard.com/.

AI Team Mission

Sagard is becoming an AI-first organisation. AI is expected to automate low-value work and materially improve how investment decisions are made.

Position Overview

We are hiring a Product Manager, AI Investment Solutions in our Toronto office, to lead AI and data products partnering with investment teams across strategies. You will work closely with investors, Forward Deployed Engineers (FDEs), engineering leads, and AI Enablement to translate investment needs into focused, high-impact Products. This role owns what gets built and why – not how it is engineered.

This is a product role, not a project management role.

Responsibilities

• Own the product vision and roadmap for investment-focused AI solutions.
• Partner with investment teams to identify, structure, and prioritize high-value use cases.
• Define clear product requirements, success metrics, and acceptance criteria.
• Maintain and prioritise the product backlog, making trade-offs explicit and transparent.
• Engage with executive stakeholders on priorities, progress, and roadblocks, translating this messaging to the product development team.
• Own prioritization decisions across competing investment use cases, balancing impact, risk, and scalability.
• Set direction for FDEs and engineering leads, ensuring delivery aligns with product intent and scalability constraints.
• Ensure products align with firmwide AI standards, data governance, and security practices.
• Drive adoption by validating that products fit real investment workflows.
• Track outcomes such as usage, time saved, and decision support quality.

Qualifications

• 5+ years in product management (or equivalent product ownership) with at least 2+ years on data, analytics, or artificial intelligence products.
• Strong understanding of investment research, analysis, and decision workflows, either through direct experience or sustained partnership with investment professionals.
• Ability to turn ambiguous business problems into clear product direction.
• Comfort working with technical teams without acting as a technical lead.
• Strong judgement and prioritisation skills; able to say no when needed.
• Clear, structured communication with both technical and non-technical stakeholders.

Nice to Have

• Experience in private markets or asset management.
• Experience shipping AI-assisted workflows that moved beyond prototypes into daily use.
• Experience measuring product impact beyond delivery milestones.

Why Join Us

You will help shape how investment teams use AI at Sagard. The role offers direct exposure to senior investors, high-impact problems, and real ownership of outcomes. You will work in a small, fast-moving team where product judgement matters.

This role is for someone who wants to make AI useful, not theoretical, inside a growing investment firm.

Sagard is an equal opportunity employer, which values diversity in the workplace. We are therefore happy to accommodate any individual.

If you require accommodation in order to participate in the hiring process, please contact the People & Culture team to make your needs known in advance.

Sagard may use automated tools, including artificial intelligence, to support certain stages of the recruitment and selection process.

Key skills/competency

• Product Management
• AI Products
• Data Products
• Investment Solutions
• Stakeholder Management
• Product Vision & Roadmap
• Prioritization
• Data Governance
• Agile Methodologies
• Analytics & Metrics