Product Manager - Platform

About Nakisa

Nakisa is a global leader in AI-powered enterprise software for Human Resources, Financial Management, and Commercial Real Estate (CRE). Our cloud platform powers mission-critical operations for 1,100+ organizations in 135 countries and serves millions of users.

We are building the next wave of enterprise applications with Nakisa AI. Our products use retrieval-augmented generation (RAG) with secure API integrations to large language models. Customer data stays private and auditable, and we never use client data to train third-party models. This privacy-first design gives enterprises trustworthy AI they can run in production.

What sets us apart is a single platform that connects these functions on shared data models, a focus on high-stakes, compliance-heavy workflows, and a culture anchored in Fairness, Integrity, Service, and Humility. Recognized among Canada’s top employers, we offer hybrid work, supportive leaders, and clear growth paths. Join us to ship reliable, privacy-first AI at global scale.

About the role

As Nakisa's platform product manager, you own assigned areas of the platform roadmap: the core services our enterprise applications rely on (APIs, integrations, single sign-on, event services, observability) and the AI capabilities built on them, including large language model (LLM) features, Model Context Protocol (MCP) servers and agentic integrations. You work with R&D from discovery to delivery, in an individual contributor role reporting to the Chief Product Officer.

What you'll be doing

Platform and AI product work

• Own the planning, prioritization and delivery of your assigned platform initiatives, including AI-powered features, from discovery through launch and iteration.

• Write the product requirements, specifications and acceptance criteria for platform and AI-enabled features with R&D, turning customer and business needs into work engineering teams can build.

• Work with engineering and data teams on AI architecture, model selection and system design, such as prompt orchestration, API endpoints and inference optimization.

• Work on new capabilities where the technical approach isn't known in advance: help define the requirements, weigh alternative approaches and validate the results through testing.

• Test and validate new features with quality assurance (QA) and R&D before release, tracking defects and confirming usability and quality.

• Work with R&D to investigate technical problems that surface after release, and analyze their impact to decide whether changes, optimizations or redesigns are needed.

• Drive initiatives involving MCP servers, agentic integrations and LLM-based features, such as assistants, intelligent document processing, generative automation, and analytics.

• Drive improvements across APIs, integrations and developer experience, and contribute to the scalability and reliability of single sign-on, observability and event services.

• Work with stakeholders to make sure AI features meet ethical, privacy and compliance standards, such as the EU AI Act and ISO/IEC 42001, and Nakisa's AI governance standards.

Roadmap and delivery

• Help define the product vision, define and maintain a roadmap for your areas with R&D that is technically feasible and meets customer needs, and set priorities and delivery plans in alignment with the Chief Product Officer and senior product leadership.

• Coordinate delivery with R&D and other teams, such as Professional Services, document decisions and report to stakeholders on progress and key metrics, including accuracy, latency, cost, adoption and satisfaction, to guide improvements.

• Help get new features ready for release, including product documentation and internal enablement.

Customers and market

• Gather customer and internal feedback and turn it into platform improvements.

• Support pre-sales, RFPs and client onboarding with your technical knowledge of Nakisa's AI and platform stack.

• Evaluate competing products and run comparative usability studies to find opportunities to improve and innovate.

• Follow emerging AI technologies and industry standards and bring forward ideas that improve product performance and value.

What you bring

• Three or more years of product management experience, preferably in enterprise SaaS, with a record of owning roadmaps and delivering measurable outcomes.

• Strong technical understanding of enterprise SaaS architecture, APIs, integrations, authentication and authorization, cloud platforms and AI technologies. You are comfortable discussing architecture and technical trade-offs with engineers, and you contribute to technical requirements, solution design and technical validation with R&D.

• Practical understanding of AI and LLM capabilities and their enterprise use cases, including retrieval-augmented generation (RAG), agents and model integration.

• The ability to work independently, use data to define and track success metrics, and influence Engineering, Product leadership and executive stakeholders.

• Strong communication, presentation and customer-facing skills, including product demos.

• Proficiency in French and English.

Nice-to-haves

• Experience with enterprise SaaS AI implementations or AI governance frameworks, such as ISO/IEC 42001 and the EU AI Act.

• Familiarity with cloud services (AWS, Azure), observability tools or enterprise integration platforms (SAP, Oracle, Workday), or a background in software engineering, data science or computer science.

Language requirement

This position requires proficiency in an additional language (English) to collaborate with international engineering teams and to create product documentation for a global user base. Nakisa has assessed the language needs of these duties before imposing this requirement.

What's in it for you

• Significant product ownership of AI-powered capabilities, with influence on technical strategy and business outcomes across multiple enterprise products.

• Direct exposure to the Chief Product Officer, with ongoing mentoring and coaching from senior product leaders.

• Training resources and time allocated for continuous learning, and opportunities to lead increasingly complex platform and AI initiatives.

Why Nakisa?

💻 Flexibility: Hybrid work (1–2 days in our downtown Montréal office).

🌴 Time off: Starting at 3 weeks’ vacation, a paid week off at year end, an extra paid summer day off, personal and volunteer days, and generous sick leave.

🩺 Health & wellness: Comprehensive health, dental, and life insurance including telemedicine from day one.

💰 Financial security: RRSP matching up to 4% from day one and a home internet allowance.

💪 Active lifestyle: Free gym access in our downtown office building and half-price Bixi membership.

🎉 Social perks: Regular events to unwind with colleagues such as game nights, summer picnic, holiday party, excursions, and more.

🚀 Career growth: Mentorship, education assistance (80% up to $1,500 per year) and reimbursement of role-relevant professional dues.

🤝 Culture: A supportive, values-driven team with leaders who care.

🚀 Make your impact at Nakisa.

If building privacy-first AI for global enterprises motivates you, apply today and help shape the future of enterprise software.

• Location: Montréal (hybrid).
• Visa or relocation: not available.
• Hiring process: AI-powered screen,recruiter conversation, hiring manager interview, and a panel or skills assessment depending on the role.
• Apply even if not a perfect match: potential and drive matter here.

Apply today.

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AI-assisted recruitment:

Nakisa uses AI-assisted tools, including BrightHire and Greenhouse, throughout our recruitment process. Our first-round interview is conducted by an AI interviewer (BrightHire), and later interviews with our team are recorded and transcribed to support accurate note-taking. AI-generated outputs, including transcripts, summaries, and structured scoring aids, support our hiring team and are reviewed by people. All hiring decisions are made by people based on job-related criteria.

If you need an accommodation at any stage, or have questions about how your data is processed, contact [email protected].