Revenueroll

We’re looking for a JavaScript Engineer to join our growing team and lead the development of user interfaces and services that power marketing analytics, identity resolution, and cross-platform personalization.

What You’ll Do

• Build and maintain high-performance, scalable web applications using React.js, Node.js
• Work closely with Data Scientists to bring graph-based identity resolution, campaign analytics, and data activation to life.
• Develop UIs with advanced data visualization (e.g., using D3, Highcharts, and Recharts).
• Collaborate on multi-tenant architecture, OAuth-based integrations, and automated onboarding experiences using Auth0, Firebase, and Google Cloud Functions.
• Work with external teams to integrate features and deliver end-to-end value, including Stripe billing, Slack alerting, SendGrid messaging, and BigQuery pipelines.
• Champion UI/UX best practices while maintaining clean, maintainable code using ESLint, Prettier, and Husky-driven workflows.

Must-Have Qualifications

• 4+ years of experience with JavaScript and modern frameworks.
• 3+ years of experience with React.js, including hooks and context API.
• 3+ years of experience with Node.js, Express.js, and related tooling.
• Solid experience working in a Serverless environment (especially with Google Cloud Platform: Firebase, Functions, App Engine, API Gateway) is a must
• Deep understanding of REST APIs and third-party integrations (Things we use: Google Ads, Facebook Marketing API, Plaid, Stripe).
• Experience with CI/CD workflows using GitHub/GitLab pipelines.
• Familiarity with data visualization libraries (D3, Highcharts, Recharts).
• English: upper-intermediate level or higher.

Bonus Points

• Experience with Neo4j and graph data modeling (e.g., identity graphs).
• Knowledge of LaunchDarkly, Formik, Yup, and TailwindCSS.
• Prior work with OpenTelemetry, Sentry, or other observability stacks.
• Familiarity with Mongoose, MongoDB, BigQuery, and CDP tools.
• Experience building dashboards for analytics or marketing tech platforms

Tech Stack You’ll Work With

• Frontend: React, Vite, MUI, AntD, Tailwind, D3, Highcharts, Recharts, Formik, Yup
• Backend: Node.js, Express, Firebase, MongoDB, BigQuery, Auth0, Stripe, Slack APIs
• DevOps/Tooling: GitHub Actions, Husky, Prettier, ESLint, pnpm, Vitest, Jest
• Data & Observability: OpenTelemetry, Google Ads/Analytics APIs, Smartlook, Sentry
• Visualization & Reporting: Kendo PDF, jsPDF, xlsx, Venn.js

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!

We’re looking for a Senior Delivery Manager to join us on a maternity cover contract (6–9 months) and take full ownership of delivery excellence across multiple engineering teams and external vendors in a fast-moving scale-up environment.

You will act as the central orchestrator of our delivery engine — driving cross-team alignment, owning Scrum implementation, elevating delivery predictability, improving execution cadence, and enabling engineering teams to move from dependency-driven to fully self-sufficient.

This is a high-impact, hands-on role with full ownership and autonomy, covering a critical period of growth and execution for the company.

The role combines Project Management, Delivery Leadership, Scrum Mastery, and cross-department coordination. You’ll collaborate with Engineering, Data, QA, GTM, Product, Customer Success, and multiple external development partners.

If you thrive in complexity, love enabling teams, and enjoy building scalable processes — you’ll love this role.

Teams You Will Lead & Coordinate

You will oversee delivery across:

• Data Team – 4 people + Team Lead
• Full Stack Team – 5 people + Team Lead
• QA Team – 2 people
• GTM Team – 3 people
• 5+ External Vendor Teams (each with their own PM)

You are the delivery owner ensuring alignment, dependency clarity, on-time execution, quality, and roadmap delivery.

What You’ll Do (Key Responsibilities)

Delivery & Execution

• Own delivery across all internal and external engineering teams
• Maintain and communicate a clear 90-day delivery plan
• Monitor blockers, risks, and cross-team dependencies
• Track budgets, vendor performance, and team utilization
• Ensure roadmap execution happens on time and with high quality

Project Management

• Manage multiple projects in parallel:
  • SaaS features, integrations, data pipelines, tracking, internal tools, automation, platform modernization
• Translate requirements into actionable work items
• Ensure backlog readiness for the next 3 sprints across all teams

Scrum Mastery & Process Leadership

• Lead all core Scrum ceremonies
• Enforce and elevate Scrum practices across engineering
• Coach teams toward independence, predictability, and velocity improvement
• Drive continuous improvement and process maturity

Cross-Department Collaboration

• Work closely with CS, Sales, Product, GTM, and Engineering
• Align business priorities with delivery timelines
• Facilitate communication across departments

Vendor Management

• Manage outsourced development teams, integrators, data & infra vendors
• Ensure vendors deliver against KPIs, scope, and timelines
• Own communication and coordination of external partners

Business Analysis

• Support Product with writing specifications
• Clarify requirements and maintain documentation in Jira & Confluence

Frameworks

• Scrum, OKRs, specification-driven development
• SAFe exposure is a plus

Who You Are (Must-Have Requirements)

Experience & Background

• 5–7+ years in Project Management / Delivery roles in tech
• Experience leading multiple engineering teams simultaneously
• Strong background working with external dev vendors
• Experience in data-driven engineering environments

Technical Acumen

• Mid-level technical understanding:
  • Can read and interpret API documentation
  • Understands cloud concepts (AWS / GCP)
  • Understands high-level architecture and data pipelines
  • Can challenge estimates and discuss technical constraints
• Coding not required — but strong technical confidence is essential

Methodology Mastery

• Deep understanding of Scrum and agile delivery
• Experience implementing or maturing agile processes
• Strong team coaching skills

Soft Skills

• High ownership and proactive mindset
• Exceptional communication & stakeholder management
• Ability to create structure in unstructured environments
• Strong negotiation & conflict-resolution skills
• Comfortable working cross-functionally across Engineering, GTM, Product, Sales, and CS

Nice to Have

• Experience in B2C marketing tech
• Background in product analytics or tracking
• Exposure to SAFe / scaled agile environments
• Previous experience in scale-ups or fast-growth companies

Success in This Role Means

Within 3 Months

• Healthy, prioritized backlog for the next 3 sprints
• Improved delivery predictability across engineering
• Clear and smooth cross-team communication
• Visible improvements in velocity and defect reduction
• Fully aligned 90-day roadmap

Within 6–9 Months (Contract Period)

• Stable, predictable delivery environment
• Consistent on-time roadmap execution
• Mature Scrum culture and increased team self-sufficiency
• Achieved OKRs related to delivery and operational excellence
• Well-documented, scalable delivery processes ready for handover

About Us

Tie is a fast-growing, venture-backed identity & data enrichment platform helping brands turn anonymous website visitors into real, actionable customer profiles — including demographics, emails, advertising IDs, and behavioral insights.

Founded in 2021, Tie now supports 300+ active clients and processes billions of identity data points across e-commerce and digital-first companies.

Our mission is to make customer identity accessible, accurate, and real-time, enabling smarter personalization and better marketing outcomes.

What We Offer

• 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

1. Recruitment Screening Call
2. Technical & Soft Skills Interview (Head of Delivery, English)
3. Final Culture Fit Interview (COO & CTO, English)

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

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.