Relomote
Remote JobsRelocation Jobs
Add companySaved
Relomote

Relomote is a job board for remote, hybrid, and relocation jobs — every listing AI-classified for the countries it actually hires from, or the visa and relocation support it offers.

LinkedInCrunchbase

Remote jobs by category

  • Remote Engineering & Development jobs
  • Remote Customer Support jobs
  • Remote Design jobs
  • Remote Marketing jobs
  • Remote Sales jobs
  • Remote Product jobs
  • Remote Data & Analytics jobs
  • Remote People & Talent jobs
  • Remote Writing & Content Creation jobs
  • Remote Finance jobs
  • Remote Legal & Compliance jobs
  • Remote Operations & Admin jobs
  • Remote Data Entry jobs
  • Remote Virtual Assistant jobs
  • Remote Education/Training jobs
  • Remote Healthcare/Clinical jobs
  • Remote Other jobs

Remote jobs by location

  • Work from anywhere jobs
  • Remote jobs in Africa
  • Remote jobs in Asia
  • Remote jobs in Europe
  • Remote jobs in Latin America
  • Remote jobs in Middle East
  • Remote jobs in North America
  • Remote jobs in Oceania
  • All remote jobs →

Relocation & visa sponsorship

  • Visa sponsorship jobs
  • Relocation package jobs
  • Relocate to Europe
  • Relocate to Germany
  • Relocate to Netherlands
  • Relocate to Spain
  • Relocate to Portugal
  • Relocate to Greece
  • Relocate to United Kingdom
  • Relocate to Canada
  • Relocate to Australia
  • Relocate to Sweden
  • Relocate to Switzerland
  • Relocate to Japan
  • Relocate to United Arab Emirates
  • All relocation jobs →

© 2026 RelomoteAboutPrivacyTerms

Contact [email protected] · Built by Mahmoud

Relomote
Remote JobsRelocation Jobs
Add companySaved
Phoenix Ecommerce Technologies logo

Principal Product Engineer – AI Checkout

Phoenix Ecommerce Technologies
Posted 3 hours ago
🇺🇸United States🏠Remote💰$225.0K–$275.0K📁Data & Analytics
Is this job info correct?

Principal Product Engineer – AI Checkout About Phoenix Technologies Phoenix is the Autonomous Commerce Platform for DTC Founders. We unify storefronts, checkout, payments, and OS into one platform where AI agents handle the operational grind and merchants focus on growth. We set out to build the "Shopify of Direct Response" and along the way recognized something bigger. Direct response is roughly a third of all ecommerce transactions, a trillion-dollar market chronically overlooked by Silicon Valley. The merchants who run it are obsessive about tooling. They live and die by velocity, conversion, and margin. They have no brand moats. They only compete on operations, which is exactly what makes them ripe for agentic disruption and the earliest, fastest adopters of AI agents in commerce. That insight reframed Phoenix from "the Shopify of DR" to the AI Agent Platform for DTC Founders. This is a category-defining bet, and we are running at it from a position of strength. Where we are today: 8-figure ARR growing 100%+ YoY, in the top 0.5% of all startups launched in 2024 18x LTV:CAC with 1-month payback Activated more merchants in Q1 2026 than in the first 24 months of the company combined Venture-backed by a successful former founder and current Board member with a $500M bootstrapped exit 3X'd the valuation of our company since our Series A in August 2025 Why Now This is the rare moment where a world-class builder can join a company with proven revenue, proven product-market fit, an established team, and an open lane to define a category and personally ship the software that defines it. Three things make this an inflection point: Product-market fit and demand are no longer hypotheses. The GTM engine is humming, merchant onboarding is compounding, and Phoenix is beating its plan. Checkout is the highest-leverage surface in commerce, and we are rebuilding it for an agent-native world. The engineer who owns it shapes how hundreds of millions, eventually billions of dollars flow through Phoenix. Almost nobody has both the systems chops and the AI fluency to build this. Most engineers are strong at one and weak at the other. If you are genuinely cracked at both, this is your seat. The Role Principal Product Engineer, AI Checkout is the most senior individual-contributor engineering seat on the team. You will design, build, and own Phoenix's checkout and post-purchase system which is the surface millions of merchant customers pass through and reinvent it for an agent-native future. This is a hands-on, principal-level IC role: no direct reports, maximum leverage. You set the technical bar for how Phoenix builds AI-native commerce software and you ship the hardest parts yourself. We want a hardcore engineer with real depth across both backend and frontend, whose center of gravity is systems thinking and who is a genuine AI power user, not a tourist. You code with agents daily, you understand how LLM and memory systems work, and you have shipped agentic features to production. You raise the ceiling of everyone around you through the code and design you put on the table, not through delegation. You'll Own The AI-native checkout. Architect and build a modular, high-conversion checkout and post-purchase system, one that AI agents can read, extend, and operate on behalf of merchants. The full stack, end to end. From the React / Next.js front end through TypeScript / Node services, payment tokenization, and order capture. You own the whole vertical slice. The systems underneath. High-performance rendering (SSR, streaming, hydration), gRPC / gRPC-web service boundaries, CDN and edge caching, and the data models behind them. Agentic product capabilities. LLM-driven flows, tool calling, schema-constrained generation, and the structured context and memory that agents use to run merchant checkouts safely. Payments integration. Work with the payments team so checkout logic is seamless across processors (Stripe, Spreedly, TSYS) while staying inside PCI-compliant front-end constraints (tokenized / hosted fields). Conversion and experimentation. Real-time analytics hooks, A/B testing, dynamic upsells and post-purchase offers, and relentless funnel optimization. Mission-critical reliability. SLOs, telemetry, on-call, and incident response for checkouts that cannot go down. The engineering bar. Clean, well-tested, documented code; ADRs / RFCs; and an operationalized agentic SDLC (Claude Code, Vercel AI SDK) that raises the whole team's velocity and quality. What We're Looking For Required 10+ years building and shipping web platforms, with staff/principal-level impact as a hands-on individual contributor. True full-stack depth. Deep backend (TypeScript / Node Express, Fastify, or Nest) and production-grade frontend (React / Next.js, or Angular). Systems thinking is your center of gravity. Strong systems design. High-performance rendering (SSR / streaming / hydration), CDN-backed and edge caching, gRPC / gRPC-web service design, and solid API design (auth, pagination, versioning, rate limits, secure middleware). Right-tool data modeling. Relational (Postgres / MySQL) for integrity and transactions, document stores where denormalization fits, and Redis for hot paths. You choose the right model rather than defaulting to one. Genuine AI power user. You code with AI every day, Claude Code or an equivalent agentic coding setup, a dialed-in IDE and environment, and real leverage. You are not someone we have to convince to adopt agents; you already operate that way. You understand how LLM systems work. Context windows, memory systems, tool calling, schema-constrained generation, RAG, and eval loops. You can reason about them, not just call an API. Shipped agentic AI to production. Hands-on LLM/agent product experience with the Vercel AI SDK or similar, real features in front of real users. Testing depth. Unit (Jest), integration, and E2E (Playwright). Operability. SLO / SLA thinking, telemetry, on-call, and incident response. Excellent written communication. ADRs / RFCs, and a track record of raising the engineering bar for everyone around you. Preferred Experience DTC commerce, checkout, or ecommerce tooling experience Payments or fintech infrastructure background (Stripe, Spreedly, TSYS) and PCI-compliant front-end patterns (tokenized / hosted fields) Page-builder / drag-and-drop builder infrastructure (Puck, Builder.io, Webflow, or similar) Kotlin GCP (Cloud Run / GKE, Cloud CDN / Load Balancing, Pub/Sub) Advanced caching patterns (edge workers, cache tags / keys, surrogate keys) Liquid templating or Shopify ecosystem experience Hard No Old-school engineer who defaults to a prior domain over AI and treats agents as a passing fad. AI-fluent "prompt jockey" with shallow CS and systems fundamentals who can't hold a real systems-design conversation. Backend-only or frontend-only; can't operate across the full stack. Framework tourist who has never built and maintained real, production-grade UI/UX for a product company to industry best practices. Comfort-seekers who prioritize a 40–50-hour work week and pace themselves accordingly. Traits We Value High ownership. You own outcomes, not activities, and you ship the hardest parts yourself. Systems thinker. You reason about the whole system, not just the file in front of you. Builder mentality. Hands-on, high-throughput, and obsessed with shipping. AI-native by default. You reach for agents to move faster and raise quality, and you keep your setup sharp. Product judgment. You can articulate what makes a great checkout experience versus a mediocre one. Calm under pressure. Commerce and payments do not wait for ideal conditions. Bar-raiser. A players want to work near you because of the standard you set and the problems you bring. Culture These are the five values every Phoenix hire signs up to. We hire, fire, and promote against them. They are not words on a wall. We talk about them constantly and they show up in every decision. All In to Win. Operate with urgency, intensity, and a relentless bar for excellence. A Players Only. Only hire, develop, and keep A players. Protect talent density. Merchant First. Merchants are why we exist. Every decision measured by merchant impact. Entrepreneurial Spirit. Move like a Day One company. Fast, scrappy, hungry. Everyone owns. No Ego. Best ideas win regardless of source. Status and titles do not matter.

Similar jobs

Similar jobs

Disney logo

Senior Data Engineer

Disney

🇺🇸United States1 hour ago
Hpe logo

AI and Machine Learning Engineer

Hpe

🌍India, United States1 hour ago
TA

Associate Director, Clinical Data Enablement

Takeda

🇺🇸United States1 hour ago
Ensemblehp logo

Senior Analyst Data Integrity (MDM)

Ensemblehp

🇺🇸United States1 hour ago
Ensemblehp logo

Principal Engineer, Data

Ensemblehp

🇺🇸United States1 hour ago
Goodyear logo

Senior Analyst, Category Management

Goodyear

🇺🇸United States1 hour ago