Product Operations Manager, Cards & Spend Management
Float
- Location
- Toronto, Canada
- Employment
- Full Time
- Work model
- Remote
- Level
- Mid
- Posted
- 2h ago
Skills
About this role
About Float Float is on a mission to simplify finance for Canadian businesses, empowering them to eliminate complexity and unlock new opportunities. Through our innovative platform, Float enables businesses to streamline financial operations and optimize cash flow, so they can focus on what matters most: growth. As one of Canada’s fastest growing companies and top-rated startups in 2025 , 2024 and 2023 , Float is customer-obsessed, passionate and entrepreneurial, with a team that includes leaders from Uber, Stripe, Shopify, Top Hat, Ada, Doordash, Snowflake, and Wealthsimple. At Float, everyone is an owner, bringing their unique perspective to our team and product. Your voice is important, and we take having a culture based on feedback seriously. We openly share our thoughts and differing opinions so we can continue to improve. We do our best to keep our decision-making decentralized so that all team members feel ownership in our success. Our Product Float is Canada’s intelligent financial operating system, combining modern financial services and software to help businesses spend, save, and grow. Trusted by more than 7,500 Canadian companies, Float provides high-limit corporate cards, automated expense management, next-day bill payments, high-yield accounts, and industry-leading support, all built in Canada, for Canada. Float recently announced our $85 million Series C , and is backed by world-class investors, including Inovia Capital, Growth Equity at Goldman Sachs Alternatives, OMERS Ventures, and Silicon Valley Bank. Our team is a collection of ambitious, collaborative and mission-driven people from all walks of life but with one goal: helping Canadian companies not just survive but thrive. And we’re looking for bold innovators to help shape the future of business finance in Canada. AI Use in Our Hiring Process We use technology, including artificial intelligence (AI), to support parts of our hiring process. This may include AI-assisted scheduling and candidate communications, and AI-generated interview notes, guides or summaries to help our team focus on the conversation. All hiring decisions are made by our hiring team.
About the Role
Float is looking for a Product Operations Manager to work alongside the team building our corporate card and spend management products. You'll be the person who decides — with data — what's worth building next, and then proves whether it worked. This is a hands-on analytical seat with real influence over the roadmap. You'll size opportunities, build the business case for where the team should invest, and own the reporting that tells product and go-to-market teams what's actually happening. The work runs from writing your own queries through to putting a recommendation in front of leadership. Recent projects in this seat have included protecting card spend through a major payments migration and rebuilding how customer feedback gets synthesized into prioritization. There's a second half to the job that matters just as much: making the team faster. We want someone who looks at how product decisions get researched and made, finds the parts that are slower than they need to be, and builds the automation to fix them. What You'll Be Responsible For Size and build the business case for roadmap initiatives, so the team can decide what to invest in with real numbers behind it. Own the reporting and dashboards for the product area — measuring what shipped, and making the results useful to both product and go-to-market teams. Turn customer and field feedback into a prioritization signal the team acts on, rather than a document nobody reads. Lead the analysis behind major forward-looking investment decisions, working across teams to build and present the proposal. Build AI-assisted workflows that make research, synthesis, and reporting materially faster — and pick the ones worth building based on impact. Partner with data engineering to get the data you need, and write your own