Senior Software Engineer, Identity

Attentive

13h•$170,000 - $205,000•Remote

About The Position

Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights. Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers. With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in Deloitte’s Fast 500 (four years running!), LinkedIn’s Top Startups, Forbes’ Cloud 100 (five years running!), Inc.’s Best Workplaces, and the Human Rights Campaign Foundation's Corporate Equality Index! About the Role The Identity team owns Attentive's first-party data collection platform: the systems that capture ecommerce and user behavior events from customer storefronts, which form the core data that Attentive's marketing tools are built on. The surface area spans a JavaScript tag embedded on thousands of sites serving millions of consumers daily, Cloudflare Workers handling server-side tracking and edge compute, and backend ingestion services. The team is also heavily leaning into AI to improve the quality and volume of data collected on customer sites, with the goal of evergreen first-party data collection that can automatically measure its own performance, identify improvements, and ship them. This is a small team (3-4 engineers) with high autonomy and broad ownership. You'll work across the full stack as an AI-first generalist who moves between browser-side code, edge runtimes, and backend services depending on what the problem demands. This role is remote, based in the United States.

Requirements

6+ years of professional software engineering experience, with a track record of working across multiple layers of a system, not just frontend or backend alone.
Backend experience building and operating services in Java, Kotlin, or a similar typed language, including API design, data modeling, and testing.
Comfortable with JavaScript/TypeScript beyond casual use. You can reason about browser runtime behavior, async patterns, and performance in production.
Experience with edge compute or serverless runtimes (Cloudflare Workers, Lambda@Edge, Fastly), or the ability to ramp quickly.
You've led projects from scoping through shipping, not just contributed to them.
Good debugging instincts across service boundaries. You design systems so issues surface clearly rather than hiding.
Active use of AI-assisted development tools (Claude Code, Cursor, Codex, or similar) in your day-to-day workflow. You've used them to build and ship production features, not just experiment.
Willingness to work across unfamiliar parts of the stack.

Responsibilities

Own data collection across the full stack. Work across the JS tag, Cloudflare Workers, and Java backend services to deliver reliable first-party data collection at scale.
Expand what we do at the edge with Cloudflare Workers. Extend our Workers infrastructure beyond server-side tracking and proxy endpoints into tag serving, A/B configuration, and compute for agentic systems and data analysis.
Build agentic AI systems for data collection quality. Use heuristics and models from the ML team to identify poor data collection for specific customers. Build workflows that automatically diagnose and fix gaps, reducing the manual work that eats up engineering time today.
Improve the event ingestion pipeline. Strengthen the backend services that receive, validate, and route events from the tag. Make the pipeline more reliable and observable so engineers can trace data from collection through ingestion without guesswork.
Help lead technical direction on a small, autonomous team. Write proposals, run design reviews, and mentor teammates. With a team this size, your judgment directly shapes what gets built and how.