{"id":3640268,"url":"https://alion.io/job/thanx-senior-product-manager-ai-native-platform","title":"Senior Product Manager, AI-native platform","company":{"id":685001,"name":"Thanx","domain":"thanx.com","url":"https://alion.io/company/thanx","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-14T05:58:10Z"}},"role":"Product","role_family":"Product","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":["US","CA"],"hiring_countries_total":2,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AI Agents","optional":false},{"name":"Claude Code","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI Codex","optional":false}],"status":"live","first_seen_at":"2026-11-02T17:21:05Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-14T17:42:55Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Who Are We?\nThanx 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. Most loyalty platforms work for guests who are already loyal. 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.\nThanx has raised more than $30M from elite investors including M33 Growth, Ribbit Capital, and Sequoia Capital. Our success is rooted in a culture that has attracted some of the best talent in the country, and we are proud of strong 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: Think Boldly, Execute Reliably, Focus on What Matters, Say “Thanx” Genuinely, Encourage Diverse Perspectives, and Lead, Virtually.\nWho Are You?\nYou go to the customer first and the data second, and you can tell the difference between a loud request and a real pattern. You bring evidence, not anecdotes, and you have opinions you built yourself rather than inherited from a roadmap meeting.\nYou are hands-on with AI tooling in practice, not in a slide deck. You’ve spent real time in Claude Code, Codex, or comparable agentic tools, built your own prototypes and workflows with them, and you have opinions about where they break. You can read a schema, write a query, follow a pull request, and hold your own with engineers on tradeoffs. You don’t need to be an engineer; you do need to be unafraid of the codebase.\nYou write well, because our specs are read by humans and agents alike and clear writing is the core craft. You thrive with a broad mandate and little process, and you build conviction with leadership through evidence rather than escalation.\nEveryone 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. If that isn’t what you’re looking for right now, this isn’t the right role. We would rather you know that before you apply than after you start.\nPosition Overview\nYou 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.\nThe surface area is wider than “loyalty software” suggests. Thanx today spans:\nConsumer experiences. Branded mobile apps and web ordering used by millions of restaurant guests, each brand distinct on a shared foundation.\nLoyalty. Points, tiers, check-in and card-linked programs, redeemable online and in-store.\n Marketing automation and CRM. Segmentation (including SegmentAI), campaigns, offers, and A/B testing in a self-serve merchant dashboard.\nData and reporting. Capture rate, Insights Lab, guest identity resolution, and the warehouse underneath it all.\nAI 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.\nIntegrations. The POS and ordering systems restaurants actually run on: Toast, Square, NCR Aloha, PAR Brink, Qu, Revel, Olo, and others.\nThere is a lot of surface area and not many PMs. 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.\nWe are profitable, with industry-leading retention, and we are long past the search for product-market fit. We are rebuilding the platform around AI, and this role is about what that platform becomes next.\nHow We Build\n“With great power comes great responsibility.” Uncle Ben\nThis is the part that makes the job different, and it’s worth reading closely:\nThanx has reorganized around AI. Claude Code is in daily use in every function, and every employee has an unlimited token budget. We didn’t stop at handing people tools. We built the internal systems that turn customer voice into shipped product, and we keep tightening that loop:\nCustomer 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. “What are our largest brands saying about reporting?” takes minutes to answer, not a quarter of research.\nPRDs are living, versioned systems. 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.\nPrototypes come before tickets. 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.\nAgents do real engineering work. 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. Engineers stay accountable for everything that merges.\nPrioritization runs on signal, not volume. Every initiative carries explicit conviction from CS, sales, marketing, finance, partnerships, product, and data, so the roadmap reflects where the business is actually pulling.\nThe result is a pace most product orgs haven’t seen yet. The bottleneck has moved. 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. That judgment is the job.\nYou will also help build the machine. The workflows above are young, and the PM who joins now will shape how product is made here, the skills, the agents, the templates, and the guardrails, not just use them.\nWhat You’ll Do\nOwn a platform area end to end. Discovery, definition, delivery, and the outcome. You’re accountable for whether it worked, not just whether it shipped.\nLive close to customers. Talk to restaurant operators and marketers every week. Mine the call, support, and usage data our tooling puts at your fingertips. Bring evidence, not anecdotes.\nGo from signal to prototype to product fast. Turn customer voice into blueprints, blueprints into prototypes customers can react to, and prototypes into shipped product, in cycles measured in days and weeks.\nDirect agents, not just people. Write specs precise enough that an agent can build from them, review what comes back, and know when it’s wrong.\nDesign 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.\nMake data the product. Much of our value to a brand is proving what’s working. You’ll work with order, loyalty, and guest-level data across hundreds of brands, and turn it into decisions merchants can act on.\nImprove how we build. Contribute to the internal tooling, skills, and workflows that make the whole product org faster.\nWhat We’re Looking For\nWe don’t believe in rigid requirements, but success in this role typically involves:\n5+ years of product management, with a track record of shipping products that real customers use and pay for. Ideally B2B SaaS, ideally data-heavy.\nHands-on with AI tooling, in practice, not in a slide deck. Real time in Claude Code, Codex, or comparable agentic tools, including prototypes, scripts, or workflows you built yourself.\nCustomer-obsessed and evidence-driven. You go to the customer first and the data second, and you can tell a loud request from a real pattern.\nTechnical fluency. You can read a schema, write a query, follow a pull request, and hold your own with engineers on tradeoffs.\nStrong written thinking. Our specs are read by humans and agents alike. Clear, precise writing is the core craft.\nHigh ownership in ambiguity. You thrive with a broad mandate and little process.\n Based in the US or Canada. We’re 100% remote, almost entirely in North America.\nNice to have:\nExperience with restaurants, retail, commerce, POS or ordering integrations, loyalty, or marketing technology.\nExperience shipping AI- or ML-powered product features: recommendations, segmentation, agents, or conversational interfaces.\nExperience with two-sided products, where the buyer (the brand) and the end user (the guest) aren’t the same person.\nA public trail of thinking, whether writing, talks, or open-source tooling, on how product work is changing.\nCompensation\nUS - Tier 1\n$161,000 - $180,000 USD\nUS - Tier 2\n$148,000 - $163,000 USD\nUS - Tier 3\n$140,000 - $155,000 USD\nCanada\n$140,000 - $161,000 CAD\nLeveling & Location\nThanx uses structured internal leveling and location-based compensation. Final leveling and compensation are determined through the interview process based on experience, scope, and work location, and any offer will align with the appropriate range.\nApplication Process\nThis position is an existing vacancy.\nWe use AI-assisted tools to help review applications. Every application is also reviewed by a person, and no hiring decision is made by an automated system alone. If you’d like to know more about how we use these tools, ask your recruiter at any point in the process.\nAccommodations\nIf you need an accommodation at any stage of the application or interview process, contact  and we will work with you to arrange it.\nReady to change your life? Apply now!\nWe are proud to be an Equal Employment Opportunity company. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. 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