Senior Product Manager, AI-native platformUnited States, Canada Thanx is a leading loyalty and guest engagement platform for regional and national restaurants. We help brands drive profitable growth by increasing guest frequency, growing digital sales, and reducing reliance on discounts. Thanx unifies loyalty, digital ordering, and marketing automation in one platform that turns first-time and casual guests into regulars, treating loyalty as a business outcome, not a program, and engaging across the entire guest base. Our success is rooted in a culture that has attracted some of the best talent in the country, and we are proud of robust employee tenure, a track record of internal promotions, and the company-wide shift to working AI-native over the last 18 months. We credit our cultural “core behaviors” with these accomplishments: You go to the customer first and the data second, and you can tell the difference between a loud request and a real pattern. You are hands‑on with AI tooling in practice, not in a slide deck. You write well, because our specs are read by humans and agents alike and clear writing is the core craft. Everyone at Thanx has equity and is expected to operate like an owner. That means real intensity, including evenings and weekends when the work calls for it. Position OverviewYou will own a meaningful area of the next generation of the Thanx platform, end to end, from the customer problem to the shipped product to whether it actually moved the business. This is real product, for real restaurant brands, on real data. The surface area is wider than “loyalty software” suggests. Branded mobile apps and web ordering used by millions of restaurant guests, each brand distinct on a shared foundation. Points, tiers, check‑in and card‑linked programs, redeemable online and in‑store.



Marketing automation and CRM. Segmentation (including SegmentAI), campaigns, offers, and A/B testing in a self‑serve merchant dashboard. Data and reporting. AI products in market. RecoveryAI, which resolves guest issues after an order, SegmentAI, and a merchant‑facing MCP server that puts a brand’s Thanx data inside the AI assistant they already use. That means real ownership: the decisions you make change how hundreds of brands run their guest relationships, and the data comes back fast enough to tell you whether you were right. We are rebuilding the platform around AI, and this role is about what that platform becomes next. Thanx has reorganized around AI. We built the internal systems that turn customer voice into shipped product, and we keep tightening that loop: Customer voice is queryable. Sales calls, support conversations, CRM history, app‑store reviews, product analytics, and the data warehouse sit behind one internal platform our agents can reason over. “Our internal, custom‑built tooling holds every requirement with its full decision history, what changed, when, and why, alongside live clickable prototypes and the project’s working channel. A requirement set revs a dozen times in a few weeks as customers react to it and engineers build against it. A PM can take a requirement to a working prototype in front of a customer in an hour or less, so we argue about the real thing instead of a mockup.



Our agent fleet picks up specified features and bugs, opens root‑caused, review‑ready pull requests, reviews human PRs, and improves its own skills based on how its PRs fared. Every initiative carries explicit conviction from CS, sales, marketing, finance, partnerships, product, and data, so the roadmap reflects where the business is actually pulling. It’s no longer how fast we can write specs or ship code. It’s judgment: picking the right problem, knowing what “good” looks like for a restaurant operator, and noticing when the system is confidently building the wrong thing. You will also help build the machine. You’re accountable for whether it worked, not just whether it shipped. Live close to customers. Mine the call, support, and usage data our tooling puts at your fingertips. Turn customer voice into blueprints, blueprints into prototypes customers can react to, and prototypes into shipped product, in cycles measured in days and weeks. Design AI‑native product. Many of the problems in front of us, segmentation, issue recovery, campaign guidance, merchant analytics, are being rebuilt with AI at the core. Shape how intelligence shows up in the product, and how merchants come to trust it. Make data the product. You’ll work with order, loyalty, and guest‑level data across hundreds of brands, and turn it into decisions merchants can act on. 5+ years of product management, with a track record of shipping products that real customers use and pay for. Ideally B2B SaaS, ideally data-heavy. Hands‑on with AI tooling, in practice, not in a slide deck. Customer‑obsessed and evidence‑driven. You go to the customer first and the data second, and you can tell a loud request from

📌 Senior Product Manager, Ai-Native Platform (Winnipeg)
🏢 Thanx
📍 Winnipeg