Sagard & Diagram 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 outstanding growth. Today, the firm has more than US$32 billion under management, 190 portfolio companies and 440 professionals.
Sagard is well positioned to continue to grow substantially, organically and inorganically, pursuing its vision of becoming one of the best-performing investment management firms.
Headquartered in Canada, Sagard currently has offices in Canada, the United States, Europe and the Middle East.
Diagram is a venture builder and early-stage investor that conceives, launches, and invests in transformative companies in the Fintech and ClimateTech sectors. Since 2016, we’ve raised over $400M and launched or invested in more than 35 companies.
Diagram is part of Sagard, a global multi-strategy alternative investment platform with over US$40B in AUM.
More at https://www.sagard.com/ and diagram.vc
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’re hiring a Senior Full Stack Engineer to our AI team at Sagard to design, build, and evolve the internal products and platform capabilities that underpin decision‑making and operations.
This is a senior individual contributor role for someone who is:
- Comfortable owning problems end‑to‑end, from a vague business question to a robust production solution
- Strong on infrastructure / platform and backend, but also comfortable working on the front end where needed
- Excited to create reusable building blocks so the rest of the team can move faster
Compensation range: CAD$130,000 to CAD$150,000
Responsibilities:
Platform, Architecture & Application Development
- Design and build full‑stack internal applications used by investment, finance, and operations teams (APIs, services, and front‑end experiences)
- Work across the stack: front‑end, backend, data layer, and cloud infrastructure
- Define patterns and abstractions that make it easy to ship new features quickly and safely (component libraries, service templates, shared modules)
- Design and build AI-enabled applications, including LLM-based agentic workflows and evaluations
Reliability, Quality & Operations
- Own the operational health of the applications and services you build: monitoring, alerting, performance, and incident response
- Implement and enforce testing, code quality, and deployment best practices (unit/integration tests, CI/CD, feature flags)
- Continuously improve performance, cost efficiency, and reliability of the platform and apps
- Own the production reliability of AI-enabled applications, including monitoring model quality, cost, latency, and failure modes.
Collaboration & Leadership
- Work directly with business partners and product owners to deeply understand their workflows and pain points, then translate them into pragmatic technical solutions
- Own the review of technical design documents and code reviews, setting a high bar for engineering quality, architectural soundness, and long-term maintainability
- Provide technical guidance and mentorship to forward deployed engineers
- Drive projects from problem framing through design, implementation, and rollout with minimal oversight
Qualifications:
We care more about how you think and build than any specific tool. You might describe yourself as a full stack engineer, platform engineer, or backend engineer with strong infra chops.
Must‑have experience
- Significant experience (typically 6+ years) in full stack / backend / platform engineering roles
- Proven ability to take an ambiguous problem, break it down, and independently deliver a production solution
- Strong foundation in backend engineering: designing and building APIs, services, and integrations
- Experience with at least one modern front‑end framework (e.g., React, Vue, Angular) and comfort working on user‑facing flows
- Solid understanding of cloud infrastructure (AWS, Azure, or GCP) and platform concerns: deployments, observability, configuration, permissions
- Solid software engineering practices: version control, code review, testing, CI/CD, and documentation
- Experience shipping AI features to production, or strong interest and ability to ramp fast
- Hands-on experience using AI-assisted coding tools to design, implement, test, and review production systems, with a clear understanding of their limitations and failure modes
- Ability to collaborate and communicate directly with non‑technical stakeholders, translate business needs into technical designs, and explain trade‑offs clearly
Nice to have
- Experience in financial services, asset management, private equity, credit, or fintech, especially building tools for investment, risk, or finance teams
- Experience designing internal platforms or reusable tooling for other engineers / analysts (platform or “enablement” teams)
- Experience with modern data platforms or analytics tooling (e.g., data warehouses, orchestration, metrics layers)
- Background in security, permissions, and access control for internal tools
Why Join Us
You’ll be part of a small, entrepreneurial team shaping how Sagard works. You’ll get to lead high-impact initiatives, experiment with cutting-edge tools, and help your colleagues discover the potential of AI in their day-to-day work. You will have high ownership and be trusted to make pragmatic technical decisions. We are technology-agnostic and optimise for long-term maintainability and impact, not novelty. We value clear thinking, low ego, and direct communication.
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.
