Senior Product Manager, AI-native platform - Thanx

About Thanx

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. 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.

Thanx 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. Our cultural core behaviors include: Think Boldly, Execute Reliably, Focus on What Matters, Say “Thanx” Genuinely, Encourage Diverse Perspectives, and Lead, Virtually.

Position Overview

You 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 Thanx platform spans:

• Consumer experiences: Branded mobile apps and web ordering used by millions of restaurant guests, each brand distinct on a shared foundation.
• Loyalty: 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: Capture rate, Insights Lab, guest identity resolution, and the warehouse underneath it all.
• 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.
• Integrations: POS and ordering systems like Toast, Square, NCR Aloha, PAR Brink, Qu, Revel, Olo, and others.

Everyone at Thanx has equity and operates like an owner, requiring real intensity when the work calls for it.

How We Build

Thanx has reorganized around AI. Claude Code is in daily use in every function, and every employee has an unlimited token budget. We built internal systems that turn customer voice into shipped product:

• Customer voice is queryable: Sales calls, support conversations, CRM history, app-store reviews, product analytics, and data warehouse sit behind one internal platform our agents reason over.
• PRDs are living, versioned systems: Internal custom-built tooling holds every requirement with full decision history alongside live clickable prototypes and working channels.
• Prototypes come before tickets: PMs take requirements to working prototypes in an hour or less for customer feedback.
• Agents do real engineering work: Agent fleets pick up specified features and bugs, open root-caused PRs, review human PRs, and improve skills based on merged code.
• Prioritization runs on signal, not volume: Every initiative carries explicit conviction from CS, sales, marketing, finance, partnerships, product, and data.

What You’ll Do

• Own a platform area end to end: Accountable for discovery, definition, delivery, and business outcome.
• Live close to customers: Talk to restaurant operators and marketers weekly. Mine call, support, and usage data.
• Go from signal to prototype to product fast: Turn customer voice into blueprints, prototypes, and shipped product in cycles measured in days and weeks.
• Direct agents, not just people: Write specs precise enough for agents to build from, review outputs, and refine guardrails.
• Design AI-native product: Rebuild segmentation, issue recovery, campaign guidance, and merchant analytics with AI at the core.
• Make data the product: Work with order, loyalty, and guest-level data across hundreds of brands to turn data into actionable merchant decisions.
• Improve how we build: Contribute to internal tooling, skills, and workflows to accelerate the product organization.

What We’re Looking For

• 5+ years of product management experience shipping B2B SaaS or data-heavy products.
• Hands-on with AI tooling in practice: Time spent in Claude Code, Codex, or agentic tools building prototypes, scripts, or workflows.
• Customer-obsessed and evidence-driven: Able to distinguish loud requests from real patterns using data.
• Technical fluency: Able to read schemas, write queries, follow pull requests, and discuss tradeoffs with engineers.
• Strong written thinking: Exceptional clear writing skills for specs read by both humans and agents.
• High ownership in ambiguity: Thrives with broad mandates and minimal process.
• Based in the US or Canada: 100% remote role based in North America.

Nice to Have

• Experience with restaurants, retail, commerce, POS/ordering integrations, loyalty, or marketing technology.
• Experience shipping AI/ML features (recommendations, segmentation, agents, conversational interfaces).
• Experience with two-sided products (buyer brand vs. end guest).
• Public trail of thinking (writing, talks, open-source tooling) on evolving product management.

Compensation

• US (Tier 1): $161,000 - $180,000 USD
• US (Tier 2): $148,000 - $163,000 USD
• US (Tier 3): $140,000 - $155,000 USD
• Canada: $140,000 - $161,000 CAD

Final leveling and compensation are determined through the interview process based on experience, scope, and location.