As a Product Manager at Planned, you'll own a core product area, working with teams to define priorities, gather user insights, and integrate AI into event management workflows. Your role includes translating market opportunities into actionable shipping strategies while ensuring user feedback informs product direction.
Planned is the AI Event Intelligence Platform. Enterprises use Planned to source, manage, and pay for their meetings and events, with AI doing the work that used to take entire teams and agencies.
We're on a mission to disrupt a $500+ billion industry. To achieve that, we want to work with brilliant minds and natural leaders who are driven to out-think, out-plan, and outperform the competition. We tackle every business decision with enthusiasm, and we love the work that we do!
As a Product Manager at Planned, you'll own a core product area end-to-end and help build the AI-native operating system for corporate event management and procurement. You'll work directly with the founders and product leadership to define what we build: who you build for, which workflows you win, and how we turn multi-agent automation into something customers can't live without. Every decision you make materially changes the trajectory of the product.
What You'll Do
- Own a product area end-to-end: from defining core user, workflows, and product surfaces to pressure-testing ideas yourself, designing and vibe-coding prototypes
- Build genuine understanding of our users through research, testing, and tight loops with engineering, design, customer success, and GTM teams.
- Collaborate tightly with engineers and designers to turn customer feedback into shipped features, staying hands-on through to build.
- Translate a broad market opportunity into clear, sequenced priorities you can ship.
- Turn customer conversations, sales learnings, and product usage into clear product direction.
- Run product operating cadences across discovery, prioritization, shipping, feedback, and iteration.
- Help define how AI, agents, automation, and workflow come together in the product.
What We're Looking For
- Experience shipping product at a high-growth technology company, executing on a complex B2B product or product area.
- Strong product taste - you have a clear point of view on what makes products simple, elegant, and differentiated, and you can articulate why.
- You design and build, not just spec - comfortable in design tools and AI-assisted coding to prototype your own ideas.
- AI tools are a natural part of how you work, not an afterthought.
- Strong customer intuition - you quickly identify pain and translate ambiguity into clear direction.
- Curious and high-agency - you figure things out and don't wait to be told what to do next.
- Comfortable with ambiguity and fast iteration - you make decisions with incomplete information and create clarity where there wasn't any.
- Exceptional prioritization judgment - you know how to sequence work, say no, and create focus.
What Makes You Stand Out
- Experience building AI-native products, multi-agent systems, or workflow automation.
- Experience building for procurement, operations, events, marketplaces, or complex B2B workflows.
- Experience with payments, supplier/vendor management, or document and data extraction pipelines.
- Experience partnering with technical teams on product architecture, APIs, integrations, or AI infrastructure.
- Culture of high performance, strong talent density and in-person collaboration
- Unlimited PTO
- Competitive base pay and equity packages
- All the tools and gear you need to be successful (Macbook Pro, screens, mouse, keyboard, ChatGPT, Fullstory, etc)
- Health, dental, vision, psychology insurance
- Professional development subsidy
- Bus pass subsidy or indoor parking
- Stocked up snack bar & lunches in office 2x per week
- Dog-friendly office
- Relocation assistance, if needed
Planned Montréal, Québec, CAN Office
300 Rue De La Montagne, Montréal, Québec, Canada, H3C 2B1
Similar Jobs
Big Data • Cloud • Software • Database
Lead multi-year product strategy for non-human identity and security across MongoDB Atlas, core DB engine, and developer platforms. Drive workload identity federation, passwordless/zero-trust access, MCP/AI agent authorization, developer-first access management, partner with engineering, UX, and GTM to prioritize and measure adoption, and represent MongoDB at industry events and customer briefings.
Top Skills:
AbacAudit LoggingAws IamAzure AdField-Level EncryptionGoogle Cloud IamIam RolesModel Context Protocol (Mcp)Oauth 2.0OidcRbacSAMLSaslScimService MeshShort-Lived TokensSpiffeSpireTlsX509
eCommerce • Healthtech • Kids + Family • Retail • Social Media
Own the Early Investor product end-to-end, including roadmap, growth, monetization, success metrics, experimentation, and retention features for Babylist Money. Partner closely with engineering, use data and AI to drive decisions, communicate outcomes to leadership, and accelerate a live zero-to-one consumer financial product.
Top Skills:
AIChatgptClaude
Artificial Intelligence • Software • Generative AI
Lead Glean’s API, SDK, and MCP strategy for developers, customers, and partners. Own API design, versioning, authentication, onboarding, error handling, rate limiting, webhooks, documentation, integrations, and developer experience. Write sample code, analyze support patterns, define adoption and usability metrics, establish API requirements, and collaborate with engineering and enterprise partners to deliver scalable, reliable platform products.
Top Skills:
APIsGitMcpMicrosoft TeamsSdksServicenowTelemetryWebhooksZendeskZoom
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
