Own and improve Attentive's first-party data collection across the JS tag, Cloudflare Workers, and Java backend. Expand edge compute capabilities, build agentic AI systems to detect and fix data-quality issues, harden the event ingestion pipeline for reliability and observability, and lead technical direction on a small autonomous team while mentoring engineers.
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.
What You’ll Accomplish
- 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.
Your Expertise
- 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.
What We Use
- Our backend is Java / Kotlin / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Aurora, AirFlow, Postgres, and Redis, hosted via AWS
- Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS, using tooling like Istio, Datadog, Terraform, CloudFlare, and Helm
- Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright
- Our automation is driven by custom and open source machine learning models, industry-leading LLMs, lots of data and tech like Python, Metaflow, HuggingFace, PyTorch, TensorFlow, and Pandas
You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.
For US based applicants:
- The US base salary range for this full-time position is $170,000 - $205,000 annually + equity + benefits
- Our salary ranges are determined by role, level and location
#LI-MN1
By applying for this position, your data will be processed as per Attentive's Privacy Policy.
Attentive Company Values
Default to Action - Move swiftly and with purpose
Be One Unstoppable Team - Rally as each other’s champions
Champion the Customer - Our success is defined by our customers' success
Act Like an Owner - Take responsibility for Attentive’s success
Learn more about AWAKE, Attentive’s collective of employee resource groups.
If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience.
At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.
Similar Jobs
Mobile • Security • Software • Cybersecurity
Lead backend development for KeeperPAM Discovery: build Python discovery engines running on customer gateways, Java/Kotlin cloud services, identity correlation, incremental rescan/state reconciliation, diagnostics and test coverage, and secure data-processing workflows within a zero-knowledge architecture. Collaborate with Product, QA and PAM engineers to deliver discovery features.
Top Skills:
Active DirectoryAws IamCloud-NativeContainersEncryptionGcp IamGraph/Relationship-Oriented Data ModelsJavaKeeperpamKotlinLdapMicrosoft Entra IdPrivileged Access Management (Pam)PythonReactTypescriptZero-Knowledge Architecture
_0.png)
Productivity • Software • Conversational AI
Build and own backend identity APIs and core authentication flows for scale. Partner with product and engineering leadership, author design docs, improve production resilience and observability, handle incident response and on‑call, collaborate across teams, and mentor other engineers.
Top Skills:
CloudRestful Api
Cloud • Security
Design, build, test, and operate a large-scale distributed graph data platform in C#/.NET on Azure. Define graph schemas, optimize traversal and query patterns, validate scale and latency, and expose versioned REST/GraphQL APIs for product teams. Work with Kubernetes container deployments and AI-assisted development tools.
Top Skills:
.NetAmazon NeptuneApache CassandraApache TinkerpopApi GatewayAzure SqlC#Claude CodeContainersCosmos DbCursorCypherDockerGithub CopilotGraphQLGremlinJanusgraphKubernetesAzureMongoDBNeo4JPostgresRestScylladbService Mesh
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
