Job description

Carbon is Novisto's broadest and most technically demanding product area — spanning Corporate Carbon Accounting (including Scope 3), Financed Emissions, Product Carbon Footprint, and Decarbonisation. It's also the area under the most active evolution: extended through partnership and acquisition, expected to incorporate AI capabilities as a baseline market expectation, and held to audit-grade standards of accuracy and traceability by the regulations it serves. This role owns product outcomes across that full suite. It's a broad, technically deep, customer-facing remit that calls for a PM who can move fluidly across multiple product lines, hold real domain and regulatory complexity, and operate with the rigor an audit-ready product demands — while raising the bar for the wider team's product practice in the process. The Opportunity Full ownership of a multi-product suite — not a single feature or workstream — requiring strong prioritisation and comfort with constant context-switching across genuinely different problem spaces. A build/partner/acquire execution model: some capability is built in-house, some delivered through partners, some inherited through acquisition — this PM works across all three, not just one. Direct customer exposure at a strategic level: roadmap and strategy presentations, live requirements conversations, and escalations, with real commercial and reputational stakes attached to accuracy and delivery. Product evolution into AI-enabled capability as the suite matures, rather than steady-state maintenance of a settled product. Your responsibilities will include: Own outcomes across the Carbon suite Hold end-to-end product accountability across Corporate Carbon Accounting (incl. Scope 3), Financed Emissions, Product Carbon Footprint, and Decarbonisation as one connected remit. Prioritise ruthlessly across competing, genuinely different problem spaces, making trade-offs that are legible to engineering, leadership, and customers. Build sufficient domain depth in each area to drive solutions forward independently, rather than waiting for fully-specified requirements from customers or SMEs. Be accountable for measurable product outcomes — adoption, retention, delivery against commercial commitments — not just features shipped. Operate a build/partner/acquire model Work directly with external partners to define scope, resolve product gaps, and manage the product-level relationship as capability is delivered through partnership rather than built in-house. Assess and integrate acquired or partnered capability into a coherent product experience, rather than treating it as a bolt-on. Bring enough commercial fluency to input into build-vs-buy-vs-partner decisions and hold your own on partner terms that affect the product — SLAs, data rights, and roadmap influence. Bring audit-grade rigor to everything you ship Treat reporting rules and regulatory requirements as first-order product constraints, not compliance overhead layered on afterwards. Apply meaningful attention to detail across validation logic, edge cases, and UX — the standard our live customer integrations have already shown gets tested in production. Track evolving disclosure requirements as an active input to roadmap decisions, not a background concern. Translate genuinely technical, regulation-driven requirements into decisions engineering can build against with confidence. Run modern discovery and delivery practice Lead discovery — customer interviews, problem framing, prototyping with UX/UI — rather than working from a pre-built backlog. Partner closely with Engineering on solution design to the degree the problem demands, while creating enough space for the team to own how problems get solved. Operate in the spirit of empowered product teams: outcome-driven, discovery-led, and evidence-based, even where the wider organisation's process isn't fully there yet. Design within a shared platform architecture and design system, balancing Carbon-specific needs against platform-wide consistency and reuse. Evolve the product with AI Identify where AI capability should be embedded in the Carbon suite as it becomes a baseline market expectation rather than a differentiator. Bring genuine curiosity and hands-on experimentation with AI tools into your own process, and use them to accelerate discovery, delivery, and product quality. Be the face of Carbon to customers Lead strategy and roadmap conversations directly with customers, including senior stakeholders. Take ownership of live customer feedback, requirements, and escalations — this is a highly customer-facing role with no back office to hide in. Work across the business Partner effectively with Sales, Marketing, Customer Success, domain specialists in Carbon/ESG, and Engineering to move decisions forward, especially where formal process is still forming. Raise the bar for product craft on the wider team through example — rigorous requirements, sharp trade-off framing, and disciplined discovery — even without formal management responsibility. Use data — usage, adoption, feedback, delivery — to inform prioritisation and defend decisions, rather than relying on the loudest voice in the room. What We're Looking For Significant experience as a Senior or Principal Product Manager in B2B SaaS, ideally at scale-up stage, with a track record of owning outcomes across more than one product line or workstream concurrently. Demonstrated comfort operating in a technical, rules-heavy, or regulated domain — someone who has shipped product where correctness, traceability, and audit-readiness were real constraints, not necessarily carbon-specific. Strong, current evidence of modern PM practice: discovery-led, outcome-oriented, and comfortable working in (even if not formally practising) an empowered product team model. Experience running discovery with UX/UI Designers — prototyping, user journeys, and translating ambiguous problems into testable solutions. Confident, senior-level customer-facing skills: strategy and roadmap presentations, handling feedback and escalations directly, and holding your own with technical and non-technical stakeholders alike. A genuine data-informed approach to decision-making. Excellent written and verbal communication, calibrated for both executive and highly technical audiences. Willingness and enthusiasm to work with AI tooling across the product development lifecycle, even without direct prior experience. Nice to Have Direct domain knowledge in carbon accounting, ESG, or sustainability reporting (e.g. Scope 1/2/3, GHG Protocol, PCAF, CSRD/ESRS) — where present, there's a real opportunity to shape strategy in this space, not just execute against it. Experience managing or shaping products delivered through partnership or white-label arrangements. Hands-on experience with AI tooling in the product development lifecycle. Familiarity with product operations practice — process design, tooling, and governance that scales a growing product organisation. Experience in a company expanding its platform scope through partnership or acquisition, rather than organic build alone. What we offer Join an early-stage, well-financed company Advance Novisto’s purpose of contributing to the sustainability of the economy, environment, and society by empowering companies to make better decisions and disclosures through our ESG data management software Contribute your knowledge and insights to increase awareness and knowledge of sustainability Flexible schedules & opportunity to work remotely 4 weeks vacation Stock option plan If you prefer to work at the office, we have a beautiful office in downtown Montreal easily accessible by Metro/REM

Requirements

Must-haves

Full ownership of a multi-product suite — not a single feature or workstream — requiring strong prioritisation and comfort with constant context-switching across genuinely different problem spaces.
A build/partner/acquire execution model: some capability is built in-house, some delivered through partners, some inherited through acquisition — this PM works across all three, not just one.
Direct customer exposure at a strategic level: roadmap and strategy presentations, live requirements conversations, and escalations, with real commercial and reputational stakes attached to accuracy and delivery.
Product evolution into AI-enabled capability as the suite matures, rather than steady-state maintenance of a settled product.
Your responsibilities will include: Own outcomes across the Carbon suite
Hold end-to-end product accountability across Corporate Carbon Accounting (incl. Scope 3), Financed Emissions, Product Carbon Footprint, and Decarbonisation as one connected remit.
Prioritise ruthlessly across competing, genuinely different problem spaces, making trade-offs that are legible to engineering, leadership, and customers.
Build sufficient domain depth in each area to drive solutions forward independently, rather than waiting for fully-specified requirements from customers or SMEs.
Be accountable for measurable product outcomes — adoption, retention, delivery against commercial commitments — not just features shipped.
Operate a build/partner/acquire model
Work directly with external partners to define scope, resolve product gaps, and manage the product-level relationship as capability is delivered through partnership rather than built in-house.
Assess and integrate acquired or partnered capability into a coherent product experience, rather than treating it as a bolt-on.
Bring enough commercial fluency to input into build-vs-buy-vs-partner decisions and hold your own on partner terms that affect the product — SLAs, data rights, and roadmap influence.
Bring audit-grade rigor to everything you ship
Treat reporting rules and regulatory requirements as first-order product constraints, not compliance overhead layered on afterwards.
Apply meaningful attention to detail across validation logic, edge cases, and UX — the standard our live customer integrations have already shown gets tested in production.
Track evolving disclosure requirements as an active input to roadmap decisions, not a background concern.
Translate genuinely technical, regulation-driven requirements into decisions engineering can build against with confidence.
Run modern discovery and delivery practice
Lead discovery — customer interviews, problem framing, prototyping with UX/UI — rather than working from a pre-built backlog.

Nice-to-haves

Experience managing or shaping products delivered through partnership or white-label arrangements.
Hands-on experience with AI tooling in the product development lifecycle.
Familiarity with product operations practice — process design, tooling, and governance that scales a growing product organisation.
Experience in a company expanding its platform scope through partnership or acquisition, rather than organic build alone.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aidesign system

Platform: greenhouse
Effort: quick