About Pepper
Pepper is an AI-native organic growth infrastructure company helping enterprise brands get discovered and chosen across search engines, AI answer engines and the AI agents that increasingly influence how customers shop.
Our platform, Atlas, identifies what holds brands back and helps turn those insights into measurable business outcomes.
About the Role
We are looking for a Senior Digital Commerce Engineer to help enterprise brands turn online visibility into completed sales.
You will identify and resolve technical issues across the entire customer journey, from product discovery and evaluation to checkout and payment. This includes understanding how websites render, how search engines and AI agents access content, and where performance, integrations or checkout experiences prevent customers from completing a purchase.
This is a hands-on senior engineering role combining technical consulting, architecture and implementation. You will work directly with enterprise engineering teams, write technical specifications, review implementations and ship fixes across client codebases.
You should have experience working on high-traffic commerce platforms, large product catalogues, multi-market websites and complex technology stacks.
What You Will Do
1. Diagnose and identify root causes
- Analyze customer journeys using GA4, BigQuery, session recordings, server logs, technical crawls, Lighthouse and Core Web Vitals.
- Identify technical issues affecting discoverability, user experience, conversion and checkout completion.
- Trace problems to their root cause across code, configuration, integrations and data.
- Prioritize fixes based on revenue impact and engineering effort.
2. Architect and advise
- Develop technical specifications and implementation-ready tickets for client engineering teams.
- Review code, pull requests and production releases.
- Advise on rendering strategies, headless versus monolithic architecture, CDN infrastructure, commerce platforms and payment integrations.
- Lead technical discussions with engineering, product, ecommerce and marketing stakeholders.
3. Implement and optimize
- Implement fixes across client codebases, CMS platforms, commerce platforms and edge infrastructure.
- Improve technical SEO, structured data, website performance and Core Web Vitals across large-scale websites.
- Optimize JavaScript, rendering, image delivery, caching and third-party scripts.
- Resolve issues across cart, checkout, payment gateways, shipping, tax and authentication flows.
- Manage large-scale URL migrations and redirects.
4. Measure and monitor performance
- Design analytics data layers, event tracking and server-side tagging.
- Run and evaluate A/B experiments.
- Establish performance monitoring, automated checks and alerts to prevent regressions.
- Connect technical improvements to measurable business outcomes such as conversion and checkout completion.
5. Build reusable systems
- Develop reusable technical playbooks, scripts and automated checks.
- Create validation frameworks for structured data, website performance and technical SEO.
- Identify recurring issues and feed these insights into Pepper's Atlas platform for automated detection.
Customer Journey You Will Work Across
You will own technical problem-solving across six stages:
- Discovery: Search engine and AI crawler accessibility, rendering, indexing, canonical tags, hreflang, sitemaps, structured data and product feeds.
- Evaluation: Core Web Vitals, JavaScript performance, site search, filtering, product information, pricing and inventory accuracy.
- Decision: Forms, validation, booking and scheduling integrations, store locators, availability and pricing APIs.
- Checkout: Cart persistence, authentication, address validation, shipping, taxes, promotions and bot protection.
- Payment: Payment gateway integrations, digital wallets, 3D Secure, payment declines, retries and fraud prevention.
- AI Agent Readiness: Ensuring AI shopping agents can access, interpret and interact with product information, pricing, availability and checkout experiences.
What We Are Looking ForExperience at Scale
- 8–12 years of experience in ecommerce engineering, web performance, technical SEO or solutions engineering.
- At least 4 years working on high-traffic commerce websites with 1M+ monthly sessions, large catalogues, multiple locations or international markets.
- Proven experience improving conversion rates, checkout completion or Core Web Vitals, supported by measurable results.
- Experience leading technical projects and working with enterprise engineering teams.
Technical Expertise
Frontend Engineering
- Strong expertise in JavaScript and React or Next.js. Vue or Nuxt experience is an advantage.
- Hands-on experience with SSR, SSG, CSR, hydration, rendering strategies and bundle optimization.
E-commerce Platforms
- Deep hands-on experience with at least two of the following:
- Shopify Plus, Liquid, Hydrogen or Checkout Extensibility
- Salesforce Commerce Cloud
- Adobe Commerce
- BigCommerce
- Headless commerce platforms such as commercetools
Payments and Checkout
- Experience with payment gateways such as Stripe, Adyen or Braintree.
- Understanding of digital wallets, 3D Secure, payment declines, retries and fraud management.
Infrastructure and Performance
- Experience with Cloudflare, Akamai or Fastly.
- Understanding of caching, CDN, edge redirects and bot management.
Analytics and Data
- Hands-on experience with GA4, Google Tag Manager, BigQuery and SQL.
- Data layer design, server-side tracking and experimentation tools such as Optimizely or VWO.
Technical SEO
- Experience with large-scale technical SEO, log file analysis, faceted navigation, structured data and international websites.
Engineering Practices
- Comfortable working with Git, GitHub and Jira.
- Ability to write, review and deploy production code in client repositories.
Pay: From $100.00 per month
Benefits:
Work Location: Remote