Software Engineer - Forward Deployed

SmartCommerce helps brands turn demand into real retail performance. SmartCommerce connects websites, media, and marketing campaigns directly to retailer carts with Click2Cart® - helping more shoppers convert while protecting performance as availability changes. We turn product discovery on your site into retail purchases by helping you route shoppers to in-stock retailers and protect conversion when inventory shifts. We connect ads, social, influencers, retail media, and QR codes directly to retailer carts so campaigns convert beyond the click. We understand how marketing drives retail outcomes and help you see which retailers convert, where availability impacts performance, and how campaigns perform across commerce channels. We’re building the technology that connects media, shoppers, and retailers — and we’re looking for people who want to help shape the future of commerce. The Role: SmartCommerce is looking for a Software Engineer, Forward Deployed to build AI agents that automate operational workflows using the Claude SDK, integrating with internal systems such as Jira and Slack and with third-party APIs. This role is well-suited to an early-career engineer who is comfortable learning quickly and working hands-on with modern AI development tooling.

Job Title: Software Engineer- Forward Deployed Department: Engineering Reports to: Director of Engineering Experience Required: Demonstrated experience with AI and with building software in a professional or academic setting Salary Range: $80-$95K Supervisory/Training Responsibilities: This role does not supervise/manage others. This is an Individual Contributor role. Schedule: 9:00AM – 6:00PM ET. Job Location: Remote in United States.

Responsibilities: •    Design, build, and deploy AI agents using the Claude SDK to automate operational workflows •    Integrate AI agents with internal tools such as Jira and Slack, and with third-party APIs •    Collaborate with senior engineers and product stakeholders to scope and iterate on agent capabilities •    Write clean, well-tested, well-documented code •    Leverage AI coding tools (Claude, Cursor, Codex, Gemini, etc.) throughout the development lifecycle •    Monitor, debug, and improve agent reliability and performance in production •    Participate in code reviews and contribute to engineering best practices