Revenueroll

We're looking for a Senior FullStack Engineer with strong AI and agentic development experience to join our growing team. You'll lead the development of user interfaces and services that power marketing analytics, identity resolution, and cross-platform personalization — leveraging AI agents and spec-driven workflows to ship faster and smarter.

What You'll Do

• Build and maintain high-performance, scalable web applications using Node.js, React.js, GCP, MongoDB.
• Develop features end-to-end using AI-assisted, spec-driven workflows — creating detailed technical specifications and implementing them via AI coding agents (Claude Code, Codex, Gemini CLI).
• Work closely with Data Scientists, GTM Engineers and Backend Engineers to bring graph-based identity resolution, campaign analytics, and data activation to life.
• Design UIs with advanced data visualization (e.g., using Highcharts, Recharts, etc.).
• Collaborate on multi-tenant architecture, OAuth-based integrations, and automated onboarding experiences using Auth0, Firebase, and Google Cloud Functions.
• Work with the backend team to integrate features and deliver end-to-end value, including billing, Slack alerting, email messaging and integration with various third-party services.
• Drive test automation using Vitest and Jest, and help ensure performance monitoring with OpenTelemetry and Sumo Logic.
• Define and refine AI agent configurations — custom instructions (CLAUDE.md), hooks, skills, and prompt templates — to optimize team-wide development workflows.
• Build and maintain MCP Servers to expose internal REST/HTTP APIs to AI agents, enabling seamless tool-use across the development lifecycle.
• Champion UI/UX best practices while maintaining clean, maintainable code using ESLint, Prettier, SonarQube, etc.
• Act as a Feature Lead, leading the architecture, technical documentation, communication with CTO, Tech Lead and Product Owner on the best tech realization of the selected feature.

Must-Have Qualifications

• 4+ years experience with JavaScript/TypeScript and modern frameworks.
• 3+ years experience with React.js, including hooks and context API.
• 3+ years experience with Node.js 20+, Express.js 4+, (or Nest 10+), and related tooling.
• Proven experience with AI-assisted development — using tools such as Claude Code, Codex, or Gemini CLI to accelerate coding, debugging, and code review.
• Ability to author and interpret detailed technical specifications for front-end and back-end features, enabling efficient development through AI agents.
• Solid experience working in a Serverless environment (especially with Google Cloud Platform: Firebase, Cloud Run/Functions, App Engine, Logging, API Gateway).
• Deep understanding of REST APIs.
• Experience with CI/CD workflows using GitHub Workflows/Actions.
• A strong drive to build products through AI Agents rather than writing code manually.
• English: intermediate level or higher.

Bonus Points

• Experience with Neo4j and graph data modeling (e.g., identity graphs).
• Familiarity with Mongoose, MongoDB, BigQuery, and CDP tools.
• Experience building dashboards for analytics or marketing tech platforms.
• Hands-on experience building or integrating agentic AI workflows (e.g., LLM-powered pipelines, tool-use agents, RAG systems).
• Familiarity with prompt engineering and LLM API integration (Anthropic, OpenAI, Google).
• Experience creating custom skills/plugins for AI agents and building MCP Servers on top of existing REST/HTTP APIs.
• Ability to use Claude Code (or similar tools) beyond code generation — for technical documentation, DevOps troubleshooting, and CI/CD pipeline configuration.

Tech Stack You'll Work With

• Frontend: React, Vite, MUI, AntD, Tailwind, D3, Highcharts, Recharts, Formik, Yup
• Backend: Node.js, Express, Nest, MongoDB, BigQuery, Auth0, Slack APIs, Google APIs
• AI Development: Claude Code, Codex, Gemini CLI, MCP Servers, spec-driven development workflows
• DevOps/Tooling: GitHub Actions/Workflows, Husky, Prettier, ESLint, npm, pnpm, Vitest, Jest

What We Offer:

• 4 weeks of paid vacation per year (with flexible scheduling)
• Unlimited sick leave — we trust your judgment and care about your health
• US Bank Holidays off — following the American holiday calendar
• A chance to work in a dynamic, multicultural team of professionals driven by a
• shared passion for product innovation and real impact
• A flat structure, no micromanagement, and full ownership of your work
• Remote-first culture and flexible working hours

Our Interview Process Is Simple and Fast:

1. Recruitment Screening Call

General conversation about your background, English check, and Q&A from your side.

2. Technical & Soft Skills Interview

Conducted by our Head of Delivery and Tech Lead.

3. Final Culture Fit Interview

General conversation in English with our CОO and CTO.

Why Join Us?

Be part of a product-first, data-driven startup reshaping martech

Work on modern tech with real ownership and creative freedom

Collaborate with senior-level professionals in a global, fast-moving environment

Ready to build the future of data-powered marketing with us?

Apply now and let’s talk!

About Tie

Tie is building the next generation of identity resolution and marketing intelligence. Our platform connects hundreds of millions of consumers across devices, browsers, and channels—without relying on cookies—to power higher deliverability, smarter targeting, and measurable revenue lift for modern marketing teams.

At Tie, AI is not a feature—it is a core execution advantage. We operate large-scale identity graphs, real-time scoring systems, and production ML pipelines that directly impact revenue, deliverability, and customer growth.

The Role

We are looking for a Senior AI / Machine Learning Engineer to design, build, and deploy production ML systems that sit at the heart of our identity graph and scoring platform. You will work at the intersection of machine learning, graph data, and real-time systems, owning models end to end—from feature engineering and training through deployment, monitoring, and iteration.

This role is highly hands-on and impact-driven. You will help define Tie’s ML architecture, ship models that operate at sub-second latency, and partner closely with platform engineering to ensure our AI systems scale reliably.

What You’ll Do

• Design and deploy production-grade ML models for identity resolution, propensity scoring, deliverability, and personalization
• Build and maintain feature pipelines across batch and real-time systems (BigQuery, streaming events, graph-derived features)
• Develop and optimize classification models (e.g., XGBoost, logistic regression) with strong handling of class imbalance and noisy labels
• Integrate ML models directly with graph databases to support real-time inference and identity scoring
• Own model lifecycle concerns: evaluation, monitoring, drift detection, retraining, and performance reporting
• Partner with engineering to expose models via low-latency APIs and scalable services
• Contribute to GPU-accelerated and large-scale data processing efforts as we push graph computation from hours to minutes
• Help shape ML best practices, tooling, and standards across the team

What You’ll Bring

Required Qualifications

• 5+ years of experience building and deploying machine learning systems in production
• Strong proficiency in Python for ML, data processing, and model serving
• Hands-on experience with feature engineering, model training, and evaluation for real-world datasets
• Ability to travel outside of Ukraine is a must
• Experience deploying ML models via APIs or services (e.g., FastAPI, containers, Kubernetes)
• Solid understanding of data modeling, SQL, and analytical workflows
• Experience working in a cloud environment (GCP, AWS, or equivalent)
• Experience with graph data, graph databases, or graph-based ML

• Familiarity with Neo4j, Cypher, or graph algorithms (community detection, entity resolution)

  Preferred / Bonus Experience

• Experience with XGBoost, tree-based models, or similar classical ML approaches
• Exposure to real-time or streaming systems (Kafka, Pub/Sub, event-driven architectures)
• Experience with MLOps tooling and practices (CI/CD for ML, monitoring, retraining pipelines)
• GPU or large-scale data processing experience (e.g., RAPIDS, CUDA, Spark, or similar)
• Domain experience in identity resolution, marketing technology, or email deliverability

Our Technology Stack

• ML & Data: Python, Pandas, Scikit-learn, XGBoost
• Graphs: Neo4j (Enterprise, GDS)
• Cloud: Google Cloud Platform (BigQuery, Vertex AI, Cloud Run, Pub/Sub)
• Infrastructure: Docker, Kubernetes, GitHub Actions
• APIs: FastAPI, REST-based inference services

What We Offer

• Competitive compensation, including salary, equity, and performance incentives
• Opportunity to work on core AI systems that directly impact revenue and product differentiation
• High ownership and autonomy in a senior, hands-on role
• Remote-first culture with a strong engineering and data focus
• Exposure to cutting-edge problems in identity resolution, graph ML, and real-time AI systems

• Clear growth path toward Staff / Principal IC roles

  What else:

• 4 weeks of paid vacation per year (flexible scheduling)
• Unlimited sick leave — we trust your judgment and care about your health
• US Bank Holidays off (American calendar)
• Remote-first culture and flexible working hours
• Flat structure, no micromanagement, and full ownership

• Opportunity to make a real impact during a critical growth phase

  Interview Process

• Recruitment Screening Call
• Initial call with Head of Data Science & AI and CTO  (30 min) in English
• Technical deep dive Interview (1,5h)  in English

• Optional test-task (paid)

  Why Join Us?

• High-impact delivery leadership role during a critical period
• Real ownership and autonomy
• Opportunity to shape delivery across the entire engineering organization
• Exposure to SaaS, data, integrations, automation, and platform work
• Collaboration with global teams and vendors
• A strong product with real scale and momentum

Why This Role Matters

At Tie, your work will not live in notebooks or experiments—it will power production systems used by real customers at scale. You will help define how AI is embedded into the company’s core platform and play a key role in making machine learning a durable competitive advantage.