Jobs Data Engineer

Не просто код, а твій вплив на мільйони українців!

Nova Digital — це технологічне серце екосистеми NOVA, де твій код стає частиною щоденного життя цілої країни.

Про масштаб наших сервісів:

• 50+ млн запитів щодня проходять через наші системи
• 10+ млн активних користувачів покладаються на наші рішення

Ми будуємо не просто продукт — ми створюємо технологічну інфраструктуру, яка об’єднує людей, бізнеси та можливості вже майже по цілому світу.

Що робитимеш як Middle Data Engineer:

• створення та підтримка масштабованих та надійних конвеєрів даних для прийому даних з різних джерел (внутрішні системи, APls, зовнішні платформи);
• робота зі структурованими, напівструктурованими даними, забезпечуючи якість, узгодженість та цілісність даних;
• розробка та підтримка процесів ETL/ELT; 
• обробка великих масивів даних в Spark (Data Lake); 
• оптимізація PySpark пайплайнів; 
• робота з структурами даних JSON, Parquet; 
• створення вітрин даних в BigQuery; 
• робота з Postgres та MSSQL.

Твій ідеальний профіль:

Must-have:

• 3+ років досвіду в сфері Data Engineering;
• професійний досвід роботи з Python, PySpark, GCP; 
• досвід роботи з SQL (MS, Postgres, BigQuery) ;
• досвід побудови пайплайнів міграції даних (ETL) ;
• досвід роботи з Apache Airflow; 
• навички роботи з GCP сервісами: (PubSub, Dataproc, Composer, CloudStorage); 
• досвід роботи з форматами JSON, Parquet.
  

Nice-to-have:

• досвід роботи з Tableau або іншими BI інструментами.

Чому експерти різних напрямів працюють з нами:

Технологічно:

• Високонавантажені системи з реальними викликами масштабування

• Сучасний стек та свобода технологічних рішень

• Можливість впливати на архітектуру продуктів, якими користуються мільйони

Професійно:

• Менторство від сеньйорів з досвідом enterprise-рішень

• Разом будуємо інновації, що працюють для мільйонів

Ідейно:

• Продукт, що змінює країну — не просто ще один стартап

• Тут команди стають драйверами технологічних змін

Benefits:

• Компенсація додаткових витрат, пов'язаних з робочими завданнями, здійснюються до внутрішніх політик компаній.

• Добровільне медичне страхування та страхування життя.

• Корпоративні знижки від партнерів NOVA.

• Підтримка ментального здоров'я. Можливість безоплатних консультацій з корпоративним психологом.

• Соціальна відповідальність та волонтерський рух “Свої для своїх”.

• Клуби за інтересами: біговий, шаховий та інші ініціативи для натхнення.

• Соціальні відпустки та компенсації відповідно до КЗпП України.

Наступний крок за тобою.
Ми  чекаємо на знайомство — залишилось лише отримати твоє резюме.

Очікуваний термін відповіді — до 10 робочих днів.

It's a product company at the core of Web3 infrastructure — the connectivity layer between wallets and apps across blockchains. Since 2018 they've grown to 75K+ apps, 700+ wallets, 50M+ users, backed by $38M (Union Square Ventures, Shopify, Coinbase Ventures, Circle Ventures, Uniswap Labs). They've just launched a crypto & stablecoin payments product — already live in Stripe, Coinbase Commerce, Shopify, and BitPay, plus an Ingenico deal reaching 40M+ terminals in 120+ countries.

This role sits at the intersection of data engineering and backend systems. You’ll build and operate event-driven data pipelines, maintain real-time processing systems, and ensure data quality across high-volume transactional workflows. You’ll also build backend services that expose data to internal platforms and APIs, so teams across the company can consume it.

Day-to-day, you’ll work with Python, SQL, ClickHouse, Airflow, and dbt within an event-driven architecture. You’ll own the systems you build end-to-end — including monitoring, reliability, and data correctness — and collaborate with product, engineering, and infrastructure teams to support new data use cases as the platform grows.

What they're after:

• 5+ years in data engineering — production pipelines you've built and operated
• Event-driven, real-time / near real-time processing
• Strong SQL + Python; modern stack (Airflow, dbt, ClickHouse, BigQuery, or similar)
• Nice to have: fintech/payments data, Web3, Rust

IMPORTANT: The company considers candidates only from fintech, payments, or high transaction volume products (e.g. Stripe, Adyen, Checkout.com, Revolut, and similar).

We are looking for an experienced Data Engineer to design and maintain robust data infrastructure across our systems. In this role, you will be responsible for building scalable data pipelines, ensuring data integrity, and integrating third-party data sources. Your primary focus will be to enable efficient data flow and support analytical capabilities across the organization. You will also contribute to the development of our data architecture, implement best engineering practices, and collaborate closely with cross-functional teams to turn raw data into actionable insights.

Requirements

• 3+ years of commercial experience in Data Engineering
• Experience gathering business requirements and communicating with stakeholders
• Strong knowledge of Data Warehouse (DWH) architecture and principles
• Hands-on experience designing data warehouses and building ETL pipelines
• Deep practical experience with Python
• Hands-on experience in one or more of the following areas: data processing using PySpark, Apache Spark, Pandas, or similar frameworks; data scraping; integration of third-party data sources and APIs
• Proficiency in SQL and relational databases such as PostgreSQL and MySQL
• Hands-on experience with column-oriented databases such ClickHouse, Snowflake, Cassandra, BigQuery (many tables with millions of records and above each)
• Solid understanding of software design patterns, algorithms, and data structures
• Intermediate English proficiency

Will be a plus

• Experience with messaging platforms such as RabbitMQ or Kafka
• Familiarity with DataOps practices and data pipeline automation
• Familiarity with CI/CD pipelines and Kubernetes environments
• Background in FinTech or Trading domains

Responsibilities

• Communicate with technical and non-technical stakeholders to gather and clarify business requirements
• Review and analyze data and business logic to ensure consistency, accuracy, and reliability
• Design, implement, and maintain data pipelines for efficient and scalable data processing
• Integrate, maintain, and support data solutions and third-party data sources
• Research and evaluate third-party tools, services, and components for potential use
• Follow engineering best practices, including code reviews, testing, refactoring, and continuous delivery
• Design, optimize, and maintain data storage solutions

What we offer:

• Tax expenses coverage for private entrepreneurs in Ukraine
• Expert support and guidance for Ukrainian private entrepreneurs
• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

About the role

As a Senior Frontend Engineer on the Payments Platform team, you'll build scalable, high-performance frontend infrastructure and user experiences that power payment flows for global merchants. You'll work closely with product, design, backend, and customer-facing teams to ship reliable, elegant, developer-friendly solutions used across multiple products and integrations. The role combines strong product thinking with engineering excellence — from building reusable UI systems and SDKs to optimizing performance, reliability, and scalability across our platform.

Responsibilities

• Design and develop scalable, performant, maintainable frontend applications using React, TypeScript, and modern web technologies.
• Build reusable UI components, shared libraries, and SDKs that support multiple products and integrations.
• Collaborate closely with Product, Design, Backend, and Customer-facing teams.
• Own features end-to-end — technical planning, architecture, implementation, testing, deployment, and monitoring.
• Optimize application performance, responsiveness, and reliability across devices and browsers.
• Code reviews, testing, documentation, and observability.
• Publish and manage SDK and NPM package versions, including backward compatibility and release management.

• Improve development workflows, tooling, and engineering best practices across the frontend ecosystem.

   

Requirements

• 5+ years of experience building modern web applications.
• Strong proficiency in React, TypeScript, JavaScript, HTML, CSS.
• Experience designing and maintaining reusable frontend architectures, component libraries, or SDKs.
• Experience managing NPM packages, versioning, and release processes.
• Experience building and maintaining frontend integrations with global payment platforms (Adyen, Stripe, Nuvei) — hosted components, wallets, alternative payment methods.
• Strong understanding of frontend performance optimization and modern browser behavior.
• Experience working with APIs and complex asynchronous flows.

• Excellent written and verbal English.

   

Nice to have / Advantage

• Familiarity with Next.js (SSR / App Router).
• Familiarity with additional frontend frameworks (Angular, Vue, etc.)
• Experience with cloud environments and CDN infrastructure (AWS preferred).

• Experience working in production-scale environments with high reliability requirements.

   

Responsibilities

• Design, build, and maintain ETL/ELT pipelines using SQL/Apache Spark (AWS Glue) and Airflow.
• Model and optimize data in Amazon Redshift and query large datasets via Amazon Athena.
• Write advanced SQL to transform raw data into clean, joinable, analysis-ready tables.
• Build and maintain Tableau dashboards and data sources, ensuring accuracy, performance, and usability for business stakeholders.
• Partner with stakeholders (marketing, product, BI) to translate business questions into robust data models.
• Ensure data quality by implementing checks/monitoring and documenting the data warehouse.

• Improve pipeline reliability, performance, and cost-efficiency on AWS, including evaluating and adopting dbt for transformations.

   

Requirements

• Advanced SQL proficiency – query optimization, window functions, complex joins, performance tuning on large datasets.
• Hands-on experience with the AWS data ecosystem – Redshift/Athena (Spark/Glue will be a plus).
• Python scripting for data processing/automation.
• Experience with Apache Airflow for pipeline orchestration.
• Experience building and maintaining dashboards/data sources in Tableau.
• Ability to communicate data logic and insights clearly to both technical and non-technical stakeholders.
• Solid understanding of data warehousing concepts – dimensional modeling, star/snowflake schemas, slowly changing dimensions.

Would be a plus 

• Familiarity with the concept of Data Lakehouse and open table formats (Apache Iceberg)
• Experience with dbt for transformation and modeling.
• Experience with marketing/attribution data (Meta, Google Ads, TikTok, AppsFlyer) or mobile app analytics.
• Familiarity with CI/CD practices for data pipelines.

Employee Benefits:

• Remote-First Culture: Our team is diverse and extensive, just like our product portfolio. We provide a flexible working schedule and let you work anywhere in the world, either remotely or in one of our corporate hubs.
• Сoworking Compensation: We provide 100% compensation for coworking spaces in Ukraine (except Kyiv, where we have a cozy, autonomous hub) and 50% compensation for coworking spaces worldwide to ensure everyone has a comfortable and inspiring workspace.
• Free Office Lunches: We want you to stay fueled and focused, so we provide delicious free lunches for everyone working from our hubs. It’s one less thing for you to worry about during a productive workday.
• Public Holidays Policy: Gismart observes public holidays based on the Ukrainian or Polish holiday calendars. Employees working in other locations are entitled to 12 public holidays per year.
• 100% Sick Leave Compensation
• Mental and Physical Health: To help you stay happy and healthy, Gismart will partially cover your medical insurance, sports activities, and therapy costs.
• Personal Equipment Policy: Of course, we’ll provide you with all the equipment you need or cover the maintenance cost for your own tools.
• Personal Learning and Development: We love to see you learn and grow, so Gismart will cover 70% of your professional development courses. We’ll also pay for 100% of corporate English courses.
• Time-Off Policy: Every employee gets 18 working days of paid vacation and 3 personal days per year, with an extra day added for each year at Gismart.
• Corporate Events: We are remote-first, but we love meeting up in person. Whenever possible, we organize corporate events and team-building activities across all Gismart hubs.

Our partner is looking for a Senior Backend Developer who thrives in a deeply hands-on environment and enjoys being close to the code on a daily basis. This role is heavily focused on building, optimising, and scaling backend services in a high-load system where performance and reliability are critical.

We’re looking for a Senior SRE / DevOps Engineer to join our Platform Tribe – a lean and senior team where
ownership is high and expectations are even higher. This is a deeply hands-on role at the core of a high-traffic
system, where you’ll be directly responsible for maintaining reliability, performance, and stability in a fast-paced
environment.

You’ll be working on real-time production challenges, handling incidents, managing alerts, and being part of a
critical on-call rotation. This role requires resilience, strong decision-making under pressure, and a proactive
mindset to continuously improve systems operating at scale.

Main Responsibilities

– Own system reliability by actively monitoring platform health, managing alerts, and responding to incidents in real
time
– Participate in 24/7 on-call rotations, taking full ownership of production stability in a high-traffic (5-7k RPS)
environment
– Investigate incidents, perform root cause analysis, and implement long-term fixes to prevent recurrence
– Build and continuously improve monitoring, alerting, and observability across the Kubernetes (EKS) ecosystem
– Deploy, manage, and optimise infrastructure using Terraform, Helm, and GitOps tools (Flux/ArgoCD)
– Drive automation and proactively improve system resilience, reducing manual intervention and recurring issues
– Maintain and evolve CI/CD pipelines and infrastructure-as-code practices
– Collaborate closely with engineering teams to support deployments and minimise user impact in a live
environment
– Introduce and integrate new tools and technologies to enhance scalability, reliability, and performance
– Handle environment-specific requests and ensure smooth day-to-day platform operations under constant load

Mandatory Requirements

– Strong hands-on experience with Kubernetes (deployment, scaling, troubleshooting) in high-load environments
– Experience with GitOps tools such as FluxCD or ArgoCD
– Proven experience in incident response, root cause analysis, and postmortems in production systems
– Solid experience with AWS, Terraform, Docker, and CI/CD pipelines
– Experience with monitoring and observability tools such as Datadog, Prometheus, Grafana, and logging stacks
like ELK or CloudWatch
– Strong understanding of networking concepts and protocols
– Proficiency in at least one scripting language (e.g. Python, Go, Node.js)
– Experience working with version control systems (Git)
– Familiarity with incident management tools like PagerDuty, Opsgenie, or similar
– Ability to operate effectively in a fast-paced, high-pressure environment with strong ownership and accountability
– Proactive, resilient mindset with a focus on continuous improvement and system stability

We offer

– Competitive Salary
– Quarterly Bonuses
– Unlimited Paid Time Off
– Unlimited Paid Sick Leave
– Remote & Flexible Working
– Private Medical Insurance
– Financial Support for Life Events
– Professional Development Budget
– International Exposure
– Regular Company Events

We are seeking a Senior Data Engineer to join our Client's IT system house and European data center. Based in Düsseldorf, it supports the retail by providing IT services and developing IT solutions on an international level for the Client in Europe.
Your goal in the project is to develop an integration layer that will be an interface between the source and target systems for product, location and supplier data, and the master data management tool Syndigo.

Responsibilities:

• Take shared ownership in the development of the technical integration across Syndigo, legacy and downstream interfaces.
• Ensure data quality and mapping consistency between inbound source files and outbound update messages.
• Support production stability through monitoring, alerting, and dead-letter queue handling
• Build a maintainable and scalable solution that supports both initial load and ongoing update flows

Mandatory Skills:

* 8+ years of experience in Data Engineering
* AWS (DynamoDB, lambdas, SQS, EC, Fargate)
* CI/CD (Bitbucket, Jenkins)
* Python
* SQL
* Confluent Kafka
* Solid understanding of data flows, interfaces, mappings, and production support considerations
* Experience with data governance and master data management (Syndigo) is a strong advantage
* Clear communication
* Ownership
* Collaboration
* Problem-solving
* English C1

Nice-to-Have Skills Description:

* AWS certificates
* Prior experience in the fashion retail industry
* German

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?

• Work format: Remote or in a comfortable office in Lviv - you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.

We are currently looking for a Junior Data Engineer with Python and SQL skills to join our growing data team.

Across our projects, Python is the core skill we expect. Depending on your strengths, you may focus more on data engineering (pipelines, platforms, SQL) or data architecture (designing scalable data solutions). Many roles also include “full-solver” flexibility — contributing where needed, including automation, integration work, or enabling AI/GenAI use cases on modern platforms (including Microsoft technologies where relevant).

Key responsibilities:

• Data Pipeline Design & Development: Design, implement, and maintain scalable data pipelines and ETL/ELT processes, primarily using Python and Spark (PySpark), to ingest, transform, and deliver data from various sources into analytics and ML platforms.
• Data Modelling & Warehousing: Design and optimize data models (e.g. star/snowflake schemas), build and manage data warehouses and data lakes, and ensure data structures support reporting, analytics, and ML use cases.
• Data Preparation for ML: Collaborate closely with data scientists and ML engineers to understand data requirements, implement robust preprocessing and feature engineering steps, and ensure datasets are clean, consistent, and suitable for machine learning models.
• Performance & Reliability: Optimize data processing jobs and SQL queries for performance and cost efficiency, monitor data pipelines in production, and ensure reliability, scalability, and adherence to SLAs.
• Governance, Quality & Security: Implement data quality checks, validation frameworks, and governance standards; ensure data security, privacy, and compliance in line with PwC and client requirements.
• Learning & Development: Stay at the forefront of data engineering, big data, and cloud technologies, continuously improving existing solutions, tools, and processes.
• Mentorship: Support the growth of junior team members by sharing knowledge, reviewing code, and guiding them in data engineering best practices and project work.

Who We're Looking For:

• Programming Skills (Key Requirement)
  Strong programming skills in Python (e.g. pandas, PySpark, SQLAlchemy, airflow-like tools). Ability to write clean, maintainable, and testable code is essential. Experience with other programming languages is a plus.
• Demonstrated hands-on experience with building data pipelines, ideally using Spark (PySpark) or similar distributed processing frameworks.
• Designing and implementing ETL/ELT workflows.
• Working with large datasets and complex data transformations.
• Database Expertise: Proficiency in SQL databases (designing schemas, writing complex queries, optimization). 
• Cloud & Big Data (Nice to Have / Advantage): Experience with cloud data platforms (preferably Azure: Synapse, Databricks, Data Factory, Azure SQL, Data Lake) or similar services on AWS/GCP.
• Professional Background: At least 1-2 years of relevant professional experience in data engineering, BI engineering, or similar data-focused roles.
• Analytical Thinking: Strong analytical mindset with the ability to understand complex data landscapes, debug data issues, and design logical, efficient data flows.
• Language Skills: English at B2 level or higher.
  
  Policy statements:
  https://www.pwc.com/ua/uk/about/privacy.html

920 Solutions is a rapidly growing technology company specializing in iGaming solutions. We build reliable, scalable, and secure infrastructure that powers gaming platforms across multiple international markets.

We are looking for an experienced DevOps Engineer with a strong background in online casino or iGaming companies to help us scale, maintain, and continuously improve our infrastructure.

What You'll Do

• Design, build, and maintain reliable CI/CD pipelines.
• Manage and optimize AWS cloud infrastructure, including EC2, RDS, S3, CloudFront, and related services.
• Deploy, maintain, and scale containerized applications using Docker and Kubernetes.
• Administer PostgreSQL databases, including backups, replication, performance tuning, and high availability.
• Monitor infrastructure, automate operational processes, and respond proactively to incidents.
• Ensure the stability, security, and high availability of production environments.
• Collaborate closely with development teams to improve deployment and operational workflows.

What We're Looking For

• 5+ years of experience as a DevOps Engineer or Infrastructure Engineer.
• At least 5 years of hands-on experience in the online casino or iGaming industry (required).
• Strong expertise in AWS and building cloud infrastructure.
• Proven experience with Docker and Kubernetes, including deployments, scaling, and troubleshooting.
• Deep knowledge of PostgreSQL administration, performance optimization, backup strategies, and high availability.
• Hands-on experience with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, or similar.
• Strong Linux administration skills and Bash scripting experience.
• English proficiency sufficient for working in an international team.
• Experience using AI-powered development and automation tools is a plus.

Nice to Have

• Experience with Infrastructure as Code tools such as Terraform or CloudFormation.
• Hands-on experience with monitoring solutions including Prometheus, Grafana, CloudWatch, or similar.
• Experience implementing security best practices and infrastructure hardening.
• Solid understanding of CDN technologies, caching strategies, and high-traffic architectures.
• Experience supporting high-load production platforms serving large numbers of concurrent users.

If you're passionate about building reliable infrastructure, automating complex processes, and have proven experience working with online casino or iGaming products, we'd love to hear from you!

• Project Description:

  We are seeking a Senior Data Engineer to join our Client's IT system house and European data center. Based in Düsseldorf, it supports the retail by providing IT services and developing IT solutions on an international level for the Client in Europe.
  Your goal in the project is to develop an integration layer that will be an interface between the source and target systems for product, location and supplier data, and the master data management tool Syndigo.

• Responsibilities:

  • Take shared ownership in the development of the technical integration across Syndigo , legacy and downstream interfaces.
  • Ensure data quality and mapping consistency between inbound source files and outbound update messages.
  • Support production stability through monitoring, alerting, and dead-letter queue handling
  • Build a maintainable and scalable solution that supports both initial load and ongoing update flows

• Mandatory Skills Description:

  * 8+ years of experience in Data Engineering
  * AWS (DynamoDB, lambdas, SQS, EC, Fargate)
  * CI/CD (Bitbucket, Jenkins)
  * Python
  * SQL
  * Confluent Kafka
  * Solid understanding of data flows, interfaces, mappings, and production support considerations
  * Experience with data governance and master data management (Syndigo) is a strong advantage
  * Clear communication
  * Ownership
  * Collaboration
  * Problem-solving
  * English C1

• Nice-to-Have Skills Description:

  * AWS certificates
  * Prior experience in the fashion retail industry
  * German

• Languages:
  • English: C1 Advanced

• We are seeking a Senior Data Engineer to join our Client's IT system house and European data center. Based in Düsseldorf, it supports the retail by providing IT services and developing IT solutions on an international level for the Client in Europe.
  Your goal in the project is to develop an integration layer that will be an interface between the source and target systems for product, location and supplier data, and the master data management tool Syndigo.

   

• Responsibilities:

  • Take shared ownership in the development of the technical integration across Syndigo , legacy and downstream interfaces.
  • Ensure data quality and mapping consistency between inbound source files and outbound update messages.
  • Support production stability through monitoring, alerting, and dead-letter queue handling
  • Build a maintainable and scalable solution that supports both initial load and ongoing update flows

   

• Mandatory Skills Description:

  * 8+ years of experience in Data Engineering
  * AWS (DynamoDB, lambdas, SQS, EC, Fargate)
  * CI/CD (Bitbucket, Jenkins)
  * Python
  * SQL
  * Confluent Kafka
  * Solid understanding of data flows, interfaces, mappings, and production support considerations
  * Experience with data governance and master data management (Syndigo) is a strong advantage
  * Clear communication
  * Ownership
  * Collaboration
  * Problem-solving
  * English C1

   

• Nice-to-Have Skills Description:

  * AWS certificates
  * Prior experience in the fashion retail industry
  * German

• Languages:
  • English: C1 Advanced

About SpeedSize

SpeedSize powers the next generation of video-led e-commerce. Our patented psychovisual AI and AI-first delivery remove a compromise the industry has lived with for 30 years, speed or quality, so brands can serve full-quality video and imagery at a fraction of the size and load. We work with premium enterprise brands and we're scaling fast.

The role

You'll own the GTM OS: the systems that power our entire go-to-market motion across sales, marketing, partnerships, and the handoffs into finance, operating as one cohesive system fed by clean, structured, real-time data.

You'll transform HubSpot into a ledger for the entire company, deploy a PRM, deploy Sybill, and prepare the OS for AI agents (e.g. Gemini Enterprise). You'll build the reporting the company's divisions run on day to day, and own the data quality that holds it all together.

What you'll own

• HubSpot as the company ledger. Architect and build the object and data model, lifecycle states, pipelines, properties, and workflows so HubSpot becomes the ledger the entire company runs on.
• Context graph (Sybill). Deploy and own the context graph. It auto-populates HubSpot with clean, structured data and gives the entire company a unified, data-driven, customer-centric brain to query.
• Partner system (PRM, e.g. Introw.io). Deploy and own the PRM: data model, deal registration, attribution, partner workflows, and payouts.
• Data architecture, quality, and automation. Own enrichment, routing, scoring, and attribution, and automate lead capture, handoffs, lifecycle, and renewals so teams move without manual setup.
• Integrations and MCP. Connect the stack through APIs and prepare it for MCP access so it's ready for AI agents (e.g. Gemini Enterprise).
• Reporting and forecasting. Build the pipeline, forecasting, and attribution reporting the company's divisions run on day to day, and the data-quality standards that keep it trustworthy.

Who you are

• A GTM systems builder. You build revenue systems that compound. You sit where marketing handoffs meet sales execution and post-sale expansion, and you turn business problems into scalable systems.
• Fluent in HubSpot and the wider GTM stack. You know HubSpot cold as the system of record, and you've worked across CRM, automation, and data tooling to make a stack operate as one.
• AI-native. You think AI-first, you're comfortable with the technology, and you can design a data structure and systems built for the agentic future.
• Outcome-driven. Beyond knowing workflows, you tie every build to the business outcome it drives and ruthlessly prioritize your work against them.
• An owner. You think in outcomes and handoffs, and you run a domain end to end.

Requirements

• Proven experience building and owning GTM systems across sales and marketing
• Deep, hands-on HubSpot expertise as the system of record
• Experience deploying and integrating a PRM and the wider GTM stack
• Workflow automation, data architecture, and data-quality governance (enrichment, routing, scoring, attribution)
• API integration work and data modeling
• Revenue forecasting and pipeline analytics
• Familiarity with Google Workspace and Slack
• Plus: experience with agentic AI, MCP, and context graphs (Sybill)

How we work

You'll work directly with the SVP of Sales & GTM and closely with our CEO and CTO. We move fast, build from first principles, and expect owners.