Jobs

The role is based in the Kyiv region, and we will expect you to work full-time in the office. We have a shuttle service from the nearest metro station.

About the Job

As a Flight Control Systems Engineer, you will be a key part of our Flight Controls team to solve some of the most interesting flight guidance, dynamics, and controls problems you’ll have ever heard of. Together with our world-class team, currently four team members, you will take an empowering role: pushing the boundaries of drone technologies.

You will be working closely with stakeholders from the navigation, embedded systems, and flight test departments to conceive, implement, and validate flight guidance and control system algorithms, features, and improvements. Flight Controls at Quantum-Systems - your mission will be a powerful impact.
 

What is your Day to Day Mission:

• Design and programming of flight guidance and flight control algorithms for automatic and autonomous flight
• Support in model building for flight dynamic processes and design of control and feedback control laws based on these models
• Preparation and execution of flight tests with UAS systems
• Analysis of flight data recordings as well as evaluation and processing of test results
• Generation of C/C++ code with Matlab Simulink and its integration into the FCS / autopilot framework
• Supporting the certification of our product family and obtaining flight permits, e.g. for BVLOS flight projects
• Collaboration in the further development of the product development process

What you bring to the team:

• You have completed a degree/apprenticeship in the field of aerospace engineering, mechanical engineering, automotive engineering, electrical engineering or robotics.
• You have theoretical knowledge in the field of flight mechanics and have mastered the basics of control engineering. You also have practical experience with model aircraft, multicopters and / or their subsystems.
• You have knowledge of programming with Matlab/Simulink. Fluent handling of the programming language C and Git is also desirable.
• You are privately interested in model aircraft construction, drones or robotics and can't wait to implement and try out new ideas.
• Due to your open, communicative, friendly and competent attitude, it is easy for you to be considered as an internal expert.
• You are highly self-motivated and drive your area of responsibility independently.
• Communication in English is a matter of course for you.
   

Why Quantum-Systems:

• We Stand with Ukraine!
• We believe in the power of combined efforts: straightforward tech expertise paired with a customer-centric focus.
• We are industry pioneers who are ambitious, bold, and visionary.
• We push limits, think outside the box, and strive for technological excellence to shape the future of aerial data.
• We promise to be your runway for individual and professional growth.

Fit4Me is looking for a Head of Payments who will drive revenue growth through payment infrastructure, billing logic, and optimization of the payment experience.

In this role, you will define the payment strategy, lead the development of the billing system, and make decisions that directly impact revenue, retention, and scalable growth across Tier 1–2 markets.
This role is for a leader who combines strategic thinking with a hands-on approach: someone who both defines the direction and drives execution.

 

This role is a great fit if you:

• Want to own the payments domain and drive revenue, not just manage processes.

• Think in terms of growth and understand how payments impact conversion, LTV, and product scalability.

• Can prioritize and cut through noise, making decisions where the balance between approval, cost, and risk delivers the best business outcome.

• Feel comfortable in a player-coach role: shaping strategy while staying hands-on with key initiatives.

Impact Areas

1. Payment Strategy & Revenue Growth
• Define the payment strategy as part of the overall growth approach, driving impact on revenue, LTV, and product scalability.
• Own key payment metrics (payment success rate, renewal rate, recovery rate) and continuously improve them through data-driven solutions.
• Build and optimize billing logic (retry, dunning, renewal flows) to maximize conversion and user retention.
• Prioritize initiatives by balancing conversion, cost, and risk based on business needs and growth stage.
• Optimize the payment experience in close collaboration with the Product team.
2. Payment Infrastructure & Scaling
• Build and scale the payment infrastructure: multi-PSP setup, routing, orchestration.
• Select and launch new payment providers, payment methods, and markets (Tier 1/Tier 2).
• Ensure stable payment processing while scaling traffic and revenue.
3. Cost & Efficiency Management
• Optimize payment processing costs (PSP fees, routing, balancing conversion vs cost).
• Lead negotiations with payment providers and improve partnership terms.
• Own payment margin as part of the product’s unit economics.
4. Risk & Stability Control
• Monitor chargeback rate, fraud, and other risk metrics as key constraints for growth.
• Build approaches that enable scaling without exceeding risk benchmarks.
5. Team Leadership & Execution
• Lead Payment Operations and develop the team.
• Set priorities and ensure the right balance between strategic initiatives and operational execution.
• Work directly with the CEO, Product, and Marketing teams to drive growth initiatives.


 

What we expect from you

• 4–6+ years in payments / billing / subscription-based products, with direct impact on payment conversion, retention, or revenue.

• Experience working with high-volume payments ($3–5M+ monthly) and understanding how scale affects performance metrics.

• Building end-to-end payment flows: from payment methods (cards, PayPal, Apple Pay, Google Pay) that impact conversion, to subscription billing (recurring payments, retry / dunning logic, renewal flows, and declined payment handling).

• Strong understanding of unit economics (LTV, CAC, margins) and the role of payments within it, combined with the ability to analyze metrics, form hypotheses, and make decisions that impact revenue and scalability.

• Experience working with Tier 1 / Tier 2 markets and localizing payment methods.

• Building and optimizing payment infrastructure: PSPs (Stripe, Adyen, Braintree), routing, integrations, and launching new payment methods.

• Experience leading a payment function or team, building processes, and setting priorities.

• Upper-Intermediate (B2+) English for working with providers, negotiations, and optimizing partnership terms.

What success looks like in this role

• Payment infrastructure runs reliably at scale: high approval rates, controlled risk levels, and no critical revenue loss.

• Payments become a growth driver: increased payment conversion, improved renewal rates, and higher recovery of failed payments.

• A clear and effective payment strategy is in place: defined priorities, a strong balance between cost / conversion / risk, and a roadmap that supports product scaling.

• Payment processing costs are optimized without compromising performance: improved provider terms and efficient routing setup.

• Payment Operations runs as a well-structured system: stable processes, no operational bottlenecks, allowing you to focus on scaling and developing the function.

Hiring process:

Recruiter interview → Technical Interview → Interview with CEO → Reference check →  Job Offer 🚀

 

Fit4Me is looking for a User Acquisition Manager who will be responsible for scaling the performance marketing direction and driving revenue growth through web funnels.

This role has a direct impact on business results: you will manage budgets, make decisions, and scale what generates profit.

Key business KPIs for this role:

• Keeping CPA within target benchmarks.
• ROAS / ROI performance across advertising campaigns.
• Scaling advertising budgets to $400,000+/month.

This role is a great fit if you:

• Want to own the performance direction and its financial results.
• Think in terms of ROI and revenue impact.
• Work autonomously and make data-driven decisions.
• Know how to scale winning funnels and campaigns.
• Have hands-on experience specifically with Google Ads.
• Want to grow toward a Lead / Head of UA role.

Impact Areas:

• Launching, managing, and scaling advertising campaigns in Google Ads.
• Managing budgets starting from $300,000 and distributing them effectively.
• Achieving and maintaining target CPA / ROAS / ROI metrics.
• Optimizing web funnels with a focus on improving conversion rates.
• Analyzing campaign performance and making data-driven decisions.
• Identifying growth opportunities and scaling profitable setups.
• Collaborating with the marketing team to improve creatives.

Tools: 

• Google Ads
• Amplitude / Tableau.

What we expect from you:

• 1+ year of experience in User Acquisition / Performance Marketing.
• Hands-on experience with Google Ads.
• Experience working with web funnels.
• Practical experience managing budgets starting from $300,000.
• Understanding of key metrics: CPM, CTR, CPC, CR, CPA, ROAS, ROI, LTV.
• A data-driven approach to campaign optimization.
• Intermediate+ level of English.

Nice to have:

• Experience in Health & Fitness or B2C products.
• Experience scaling campaigns across global markets.

Hiring process:

Interview with Recruiter → Test Task → Interview with CMO → Final Interview with HRD → Job Offer 🚀

Company Overview

ArboStar is a fast-growing B2B SaaS platform providing business management solutions tailored for the tree care and green industry. We are scaling across North America and internationally, helping companies streamline operations, manage leads, and grow revenue.

Role Overview

We are seeking a Marketing Director to own marketing strategy, execution, and performance across paid acquisition, PR, partnerships, and analytics.

This role is responsible for leading an established marketing team and ensuring marketing efforts directly support business growth through high-quality demand generation, strong MQL → SQL conversion, and measurable ROI.

The Marketing Director operates as the single point of accountability for marketing outcomes, working closely with Sales and Product.

Key Responsibilities

Marketing Strategy & Ownership

• Own end-to-end marketing strategy, priorities, and execution across all channels.
• Define quarterly and annual marketing plans aligned with company growth goals.
• Own core marketing KPIs, including lead quality, MQL → SQL conversion, pipeline contribution, and ROI.
   

Team Leadership & Management

• Lead, mentor, and manage a marketing team of 8 specialists (paid media, content, PR, partnerships, and supporting roles).
• Set clear goals, priorities, and performance expectations for the team.
• Ensure effective execution, accountability, and continuous performance improvement.
   

Demand Generation & Paid Media Oversight

• Oversee paid acquisition strategy across Google Ads, Meta Ads, LinkedIn Ads, Bing Ads, Capterra, and other relevant B2B platforms.
• Guide budget allocation and optimization decisions based on funnel performance and revenue impact.
• Ensure structured testing, CRO initiatives, and data-driven optimization across campaigns.
   

PR, Partnerships & Brand Growth

• Own PR and partnership strategy, including industry associations, media outlets, and strategic collaborators.
• Strengthen ArboStar’s brand visibility and credibility within the vertical B2B SaaS market.
• Ensure PR and partnership initiatives support demand generation and pipeline goals.
   

Cross-Functional Collaboration & Analytics

• Work closely with Sales to align campaigns with lead quality expectations and pipeline needs.
• Collaborate with Product on analytics, attribution, and marketing integrations.
• Oversee marketing reporting, dashboards, and performance reviews.

Qualifications & Skills

• 5+ years of experience in B2B SaaS marketing, including team leadership and performance ownership.
• Proven experience leading multi-channel demand generation and paid acquisition.
• Strong understanding of lead quality, MQL → SQL conversion, and revenue attribution.
• Experience managing marketing teams and cross-functional stakeholders.
• Strong analytical mindset and decision-making based on data and ROI.
• Comfortable owning outcomes, priorities, and trade-offs.
• Proven experience managing and optimizing $20,000+ monthly paid media budgets with a focus on ROI and lead quality.
• English proficiency B2 or higher.

Nice to Have

• Experience in vertical SaaS, field services, or construction-related industries.
• Familiarity with marketing automation platforms and workflow optimization.
   

What We Offer

• Opportunity to work in the green industry, supporting arborists and service companies that contribute to sustainable urban and environmental ecosystems.
• Competitive salary with performance-based incentives.
• Fully remote work aligned with Kyiv time (14:00–22:00)
• Leadership role with ownership over an established marketing team.
• Direct impact on pipeline growth, revenue, and company strategy.
• Close collaboration with executive leadership and cross-functional teams.

We are looking for a Salesforce Developer with a strong understanding of Salesforce UI, configuration, and custom development. You will work on improving existing solutions and building new features within our Salesforce environment.
 

Responsibilities:

- Develop and customize Salesforce features based on business needs.

- Work with Salesforce UI, layouts, and user experience improvements.

- Create and manage custom objects and related configurations.

- Support and optimize workflows, automation, and system processes.

- Collaborate with the team to deliver scalable and reliable solutions.

Requirements:

- Practical experience working with Salesforce (UI, configuration, customization).

- Understanding of data models, custom objects, and basic automation tools.

- Experience with Apex or general Salesforce development practices.

- Ability to work with stakeholders to clarify and implement requirements.

- Upper-Intermidiate English 
 

Nice to Have:

- Salesforce certifications.

- Experience with integrations or API-based solutions.

- Familiarity with Agile development processes.

We're looking for a Product Design Engineer who can take a product requirement written in plain language and turn it into a polished, working dashboard - designing the experience and building the frontend, wired up to our backend services.

You'll own the path from idea to interface: shaping how a feature should look and behave, then shipping it.

This is a hybrid role for someone who is equally comfortable in Figma and in a codebase, and who cares about both how a product feels to use and how cleanly it's built.

What You'll Do

• Translate textual product requirements and user needs into clear UI flows, wireframes, and shipped interfaces.
• Design functional, modern, and accessible UX/UI for data-rich dashboards and internal tools.
• Build responsive frontend interfaces and integrate them with backend APIs (REST/GraphQL).
• Design and implement data visualizations - charts, tables, filters, and real-time views.
• Collaborate with product, backend, and design stakeholders to refine requirements and resolve ambiguity early.
• Maintain a shared component library and design system to keep the product consistent and fast to extend.
• Own quality end to end: performance, accessibility, edge cases, and visual polish.

What We're Looking For

• 3+ years building production web interfaces, with a portfolio that shows both design sensibility and engineering depth.
• Strong command of TypeScript and a modern framework (React, ideally with Next.js).
• Solid UX/UI fundamentals: layout, hierarchy, interaction design, and accessibility (WCAG).
• Proficiency with Figma (or similar) for designing and prototyping before building.
• Experience integrating frontends with backend APIs - handling auth, async data, loading/error states, and caching.
• Comfort building dashboards: data tables, filtering, and charting libraries.
• Ability to work from ambiguous requirements and make sound product and design decisions independently.

Nice to Have

• Backend familiarity (Node.js, or another server language) and an understanding of API design.
• Experience with real-time data (WebSockets / SSE).
• Familiarity with design systems and component documentation (e.g., Storybook).
• Experience with testing (unit, integration, and end-to-end).

Tech Stack

AreaToolsLanguageTypeScriptFrontendReact, Next.jsStyling / UITailwind CSS, shadcn/ui or Radix UIState & DataTanStack Query (React Query), ZustandData VisualizationRecharts / Visx / D3, TremorDesignFigmaAPI IntegrationREST, GraphQL, WebSocketsAuthOAuth / OIDC, JWTTestingVitest / Jest, React Testing Library, PlaywrightToolingGit, GitHub Actions (CI/CD), Vite, StorybookBackend (nice to have)Node.js, PostgreSQL

We need a detail-oriented analyst and a proactive communicator who will ensure seamless transaction flows, optimize conversion rates, and manage relationships with payment service providers (PSPs) across diverse global markets.

🎯 Key Responsibilities

• Relationship Management: Serve as the primary point of contact for connected PSPs. Handle day-to-day communications, resolve operational queries, and push for better service terms.
• Onboarding & Integration: Support all stages of PSP onboarding — from the initial intro and gathering technical documentation to the final "go-live" phase.
• Performance Analytics:  Monitor provider dashboards and transaction reports to compare performance.
  • Analyze payment conversion rates (Click-to-Deposit) and identify root causes for failed or pending transactions.
  • Interpret data to spot discrepancies and suggest actionable improvements.
• Operational Excellence:
  • Process internal tickets from Business Development and translate them into clear technical tasks for the Integration/Product teams.
  • Conduct competitive analysis of payment solutions in target regions, identifying new local methods and integration channels.

• Cross-department Collaboration: Work closely with Finance, Legal, Product, and Business Development teams to align payment strategies with global business goals.

  ✅Requirements
  - Experience: 1+ year of relevant experience in iGaming (Betting/Gambling), with a primary focus on European markets such as Italy, Portugal, Czech Republic, Poland, Greece, and the Netherlands.
  - Tier-1 Market Expertise: Proven track record working with Tier-1 European countries and a deep understanding of their payment ecosystems.
  - Payment Systems Knowledge: Strong grasp of Card processing and European Alternative Payment Methods (APMs), including experience with systems such as Blik, iDEAL, MbWay, and similar regional solutions.
  - Technical Skills: Hands-on experience with Payment Service Provider (PSP) admin panels and reporting tools.
  - Analytical Competence: Ability to  effectively communicate with the analytics team, read and interpret dashboards, and generate actionable insights and recommendations based on the data.
  - Languages: Upper-Intermediate (B2+) English proficiency, both written and verbal, for efficient communication with international partners.
  🧠 Soft Skills

• Detail-Oriented: You notice the small things in transaction logs that others might miss.
• Stress Resilient: Comfortable working in a high-pressure, fast-growing global company.
• Assertive: Not afraid to push your position and hold providers accountable for their performance.
• Organized: Ability to manage multiple onboarding processes and tickets simultaneously without losing focus.
• ⭐️ We Offer:
• Format: Remote work, 5/2 schedule.
• Payments in USDT (white crypto);
• Remuneration: Competitive salary + bonuses based on the results of the department you build.
• Growth: Opportunity for growth within the project.
• Benefits: Paid vacation and sick leave.

We’re building agentic AI for real-world CX. As an AI Engineer at HiO, you’ll craft scalable, low-latency AI systems - from LLM orchestration to real-time APIs - using Python, LangGraph, and modern cloud stacks. Fast-paced, high-impact, and deeply hands-on.

What you’ll do

• Design, build, and maintain real-time AI-powered APIs and services in Python.
• Architect, optimize, and deploy LLM workflows leveraging LangGraph or similar orchestration frameworks.
• Develop agentic logic and reasoning pipelines for conversational and task-based automation.
• Build scalable infrastructure to support multi-model, low-latency, and streaming AI experiences.
• Collaborate with backend and product teams to translate complex customer workflows into reliable AI systems.
• Ensure high performance, reliability, and data security across production workloads.
• Deploy and manage applications on modern cloud environments (AWS / GCP)
• Implement monitoring, logging, and fault-tolerance mechanisms for production-grade AI systems.
• Contribute to architectural and product decisions, balancing innovation, safety, and scalability.

What We’re Looking For

• BSc or higher in Computer Science, Engineering, or a related technical field.
• 5+ years of experience in backend or ML engineering, building AI/LLM-based systems in production.
• Deep experience with Python (async, multiprocessing, decorators, type hints, debugging).
• Proven hands-on work with LLMs, including streaming inference, prompt management, or multi-agent systems.
• Familiarity with LangGraph, LangChain, or similar orchestration frameworks.
• Strong understanding of MLOps, microservices, and distributed architectures.
• Solid grasp of SQL/NoSQL databases, message queues, and scalable data design.
• Experience deploying applications to AWS, GCP, or similar cloud platforms.
• Ownership mindset - comfortable operating across the stack and figuring things out fast.
• Excited to work in a fast-paced startup environment where priorities shift quickly and impact is immediate.

We are looking for a Team Lead who will take ownership of the architecture and technical evolution of our web platform, while leading a small team of full-stack engineers. In this role, you will be responsible for the full delivery cycle  from database design and REST API architecture to building modern Vue.js interfaces ensuring scalability, performance, and maintainability of the system. You will establish engineering standards, mentor developers, and shape the platform’s direction through thoughtful architectural decisions, performance optimization, and gradual modernization of legacy code. This is a high-impact role with cross-team collaboration, fast decision-making, and an AI-first approach to development.

Requirements
- 5+ years of full-stack web development experience with PHP and JavaScript
- Deep knowledge of Laravel: Eloquent, queues, events, middleware, service providers, testing with PHPUnit/Pest.
- Strong frontend skills with Vue.js 3 (Composition API, Pinia, Vue Router) and TypeScript.
- Experience leading a team (2+ people): code reviews, task planning, growing engineers, establishing standards.
- Solid understanding of relational database design and PostgreSQL: query optimization, migrations, indexing strategies.
- Experience with REST API design: versioning, error handling, authentication (JWT/OAuth), pagination.
- Familiarity with Docker and CI/CD pipelines.

Nice to Have
- Experience with GCP or comparable cloud (AWS/Azure) at the service level. 
- Knowledge of Vite build tooling, SSR, or micro-frontend patterns.
- Experience with real-time features (WebSockets, broadcasting).
- Familiarity with Pulumi / Terraform for IaC.
- Understanding of healthcare / pharma ad-tech domain.
- Experience with Playwright or Cypress for E2E testing.

Responsibilities
Own the architecture and technical direction of the web platform (Laravel backend + Vue.js frontend).
- Lead a team of 2-3 full-stack engineers: code reviews, sprint planning, mentorship, and career development.
- Drive feature delivery end-to-end: from API design and database schema to Vue.js components and user experience.
- Ensure code quality, test coverage, and maintainability across the full stack.
- Design and evolve the REST API layer: versioning, authentication, rate limiting, and documentation.
- Optimize application performance: query tuning, caching strategies, frontend bundle optimization.
- Collaborate with Product and Design to translate requirements into well-architected, scalable solutions.
- Manage technical debt and drive incremental modernization of legacy code.
 

What We Offer

- Fully remote with flexible hours (aligned with EU timezones for syncs).
- Influence on the quality assurance strategy across the entire engineering department.
- A cross-team role with visibility into every part of the product.
- AI-first tooling.
- Claude Code licenses and cutting-edge AI development workflows. 
- A team with no bureaucracy, decisions are made fast.
 

We are looking for an Integration Tech Lead to take full ownership of one of the most business-critical areas of our platform — integrations. This role sits at the intersection of backend engineering, data flows, and external platform connectivity.

You will be responsible not only for building and scaling integrations, but also for ensuring their reliability, stability, and overall performance. This is a high-impact role where failures directly affect business outcomes, so we are looking for someone who can take end-to-end responsibility and confidently drive technical decisions.

In this role, you will lead a small team, bring structure to an evolving domain, and define how integrations are designed, built, and maintained across the platform.

Requirements

• 5+ years of experience in backend, platform, or data engineering.
• Experience in backend development using at least one programming language (such as Python, PHP, C#, or similar), with a willingness to work in a multi-stack environment.
• Strong experience working with APIs and integrations (design, implementation, maintenance).
• Experience working with marketing or advertising platforms (Meta, LinkedIn, programmatic ecosystem).
• Proven experience working with complex technical systems and driving them to a stable state.
• Experience leading or mentoring engineers.
• Solid understanding of distributed systems and data flows.
• Experience working with production systems where reliability and uptime are critical.
• Strong engineering mindset: ability to make decisions, prioritize, and take responsibility.
• Experience using AI-assisted development tools (Copilot, Cursor, Claude Code) in daily workflows, with the ability to critically evaluate outputs.

Nice to Have

• Experience in Data Engineering (data pipelines, ETL/ELT processes, data synchronization).
• Experience with cloud platforms (GCP, AWS, or Azure).
• Understanding of high-load systems or large-scale data processing.

Responsibilities

• Take full ownership of the integrations domain across the platform.
• Define and drive integration architecture and technical direction.
• Lead a small team of engineers: code reviews, mentorship, and development.
• Ensure reliability of integrations: monitoring, alerting, error handling, and recovery strategies.
• Drive integration projects end-to-end: from API evaluation to production rollout.
• Improve and stabilize existing integrations and data flows.
• Collaborate with product and business teams to define priorities.
• Bring structure and leadership to a currently evolving area.

What We Offer

• Fully remote with flexible hours (aligned with EU time zones).
• High-impact role with direct influence on core business processes.
• Ownership and autonomy in technical decision-making.
• Fast-paced environment with minimal bureaucracy.
• AI-first engineering culture and modern tooling.
• Opportunity to shape and scale a critical part of the platform.

We are looking for an Integration Team Lead to own the architecture and reliability of our advertising platform integrations while leading a small engineering team and driving the integration roadmap. In this role, you will design and scale data pipelines that process large volumes of advertising data, ensure stable data synchronization across external marketing platforms, and lead new integration initiatives from API evaluation to production rollout. You will play a key role in shaping the platform’s integration strategy, mentoring engineers, and building scalable, AI-enabled integration solutions that power our core data infrastructure.

Requirements
- 5+ years in backend/data engineering, including 2+ years working with advertising/marketing APIs.
- Hands-on experience with Meta Marketing API and/or LinkedIn Marketing API: real work with rate limits, async reports, breakdowns, attribution windows.
- Strong Python skills: production-grade code with error handling, logging, and tests.
- Experience leading a team (2+ people): code reviews, task planning, growing engineers.
- Solid understanding of data pipeline patterns: idempotency, backfill, incremental sync, schema evolution.
- Experience with GCP or comparable cloud (AWS/Azure) at the service design level.

- Actively use AI-assisted development tools (e.g., Copilot, Cursor, Claude Code) in daily engineering workflows for code generation, debugging, documentation, and data pipeline design, applying sound engineering judgment when validating AI-generated outputs.

Nice to Have
- Knowledge of the Programmatic ecosystem: DV360, The Trade Desk, OpenRTB.
- Experience with BigQuery and/or ClickHouse.
- Pulumi / Terraform for IaC.
- Understanding of advertising metrics: impressions, clicks, conversions, ROAS, attribution models.

Responsibilities
- Own the architecture and evolution of all platform integrations: Meta Marketing API, LinkedIn Marketing API, Programmatic channels (DV360, The Trade Desk, etc.).
- Lead a team of 2-4 engineers: code reviews, sprint planning, mentorship.
- Design and maintain data pipelines: Ad Platform APIs to BigQuery/ClickHouse via Cloud Run Jobs and n8n workflows.
- Ensure data sync reliability: monitoring, alerting, error handling, retry strategies.
- Work with API rate limits, OAuth flows, and webhooks across advertising platforms - Drive new integration projects from API evaluation through production rollout. 
- Collaborate with the product team to prioritize the integration roadmap.

What We Offer

- Fully remote with flexible hours (aligned with EU timezones for syncs).
- Influence on the quality assurance strategy across the entire engineering department.
- A cross-team role with visibility into every part of the product.
- AI-first tooling.
- Claude Code licenses and cutting-edge AI development workflows. 
- A team with no bureaucracy, decisions are made fast.

We are looking for a Senior Data Engineer to join the Identity team at Equals5. This is not a standard ETL role. We are building a dynamic data ecosystem where AI is deeply integrated—both as a productivity multiplier and as a core component of our data processing logic for identity data enrichment and data scoring.

You will own the infrastructure that handles over 10,000 executions per minute, ensuring stability, scalability, and data integrity. You will work with a modern stack on Google Cloud Platform, utilizing Cloud Functions and Kubernetes.

We are looking for an engineer who improves infrastructure, automates everything, and is eager to implement LLM-based logic directly into high-load data flows.
 

Responsibilities

• AI-Driven Data Scoring: Design and implement pipelines that utilize LLMs to analyze and score identity data in real-time. You will integrate AI models directly into the decision-making loop, balancing accuracy with latency and cost.
• Own the Data Architecture: Architect scalable data solutions using GCP and Python. You will manage data storage and retrieval using BigQuery and Apache Iceberg to support querying of TBs of data.
• Heavy Data Processing: Utilize Apache Spark for data transformations and batch processing when lightweight cloud functions are not enough.
• Manage High-Load Orchestration: Maintain and optimize our system instances. It involves complex dataflows, custom Python nodes, and performance tuning for 10k+ execs/minute.
• Release Lifecycle (CI/CD): Take ownership of the deployment process, ensuring that updates to pipelines and infrastructure are released safely with proper testing and rollback strategies.
• Database Optimization: Manage PostgreSQL performance under heavy load, optimizing complex queries and indexing strategies.
• Active AI Usage: Use Claude Code and other AI engineering tools to accelerate your own development, refactoring, and testing processes.
• Incident Resolution: Proactively monitor the system. When alerts fire, you investigate the root cause—whether it’s a database lock or an LLM hallucination—and fix it permanently.
   

Requirements

• 4-5+ years of experience in Data Engineering or Backend Engineering with a strong data focus.
• Production AI Integration: Experience integrating LLMs (OpenAI, Anthropic, Gemini) into production applications via API. You understand latency, token limits, and how to structure data for AI scoring.
• Expertise in GCP: Understanding of Google Cloud Platform (Cloud Functions, IAM, Networking).
• Strong Python: You write clean, efficient, and testable code. You are comfortable building custom logic where standard tools fall short.
• Big Data Stack: Experience with BigQuery, Apache Spark, and modern table formats like Apache Iceberg.
• Kubernetes (K8s): Experience deploying and scaling services in containerized environments.
• Workflow Automation: Understanding of workflow orchestration tools at a deep technical level. N8N is a big part of our domain, so familiarity with it is highly valuable.
• PostgreSQL Mastery: Proven ability to handle heavy write/read loads and optimize schemas.
• English: B2+ (Upper-Intermediate) or higher.
   

Culture & Mindset

• Self-improvement: You are a fast learner. You don't fear AI replacing you; you master it to replace your manual tasks.
• Ownership: You treat the Identity domain as your own business. If a scoring model drifts or a pipeline slows down, you notice it and fix it without being asked.
• Internal Locus of Control: You take responsibility for outcomes. If an external API fails, you build a fallback mechanism instead of just blaming the provider.
• Get It Done: You prioritize shipping value. You know when to use a simple script and when to build a complex architecture.
• Openness: You share knowledge freely. If you find a better way to prompt the AI for scoring, you share it with the team.
   

What We Offer

• Fully remote with flexible hours (aligned with EU timezones for syncs).
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech for both daily coding and product features.
• High-Impact Role: You will directly influence how we identify and score users, impacting the core business logic.
• Cross-functional visibility: Work closely with Product and Tech Leads to shape the future of Identity.
• No Bureaucracy: Fast decisions, no legacy processes, focus on results.

Equals5 helps pharmaceutical companies run precisely targeted ad campaigns on social platforms by identifying healthcare professionals and the consumer signals that reach them. The Identity team builds the data, scoring, and targeting systems that make this possible.

We are looking for a Data Analyst  to join the Identity team at Equals5. This is not a standard analyst role. We are building a dynamic identity resolution system where AI is deeply integrated — both as a productivity multiplier and as a core component of our data processing logic for identity resolution and LLM-based scoring.

We run enrichment against 70+ TB of data, apply AI and LLM-based scoring on top, and process around 20 million enrichment operations per day across hundreds of thousands of records.

The analytical challenges ahead are substantial: how to measure the quality of AI-driven scoring, how to validate that a change makes the system better, how to know where our money and time deliver the most value, and how to turn the questions our internal teams bring in into fast data-backed answers. You will own this side of the business, working daily alongside engineers and the product lead to turn these challenges into decisions that ship.

The main part of the role is not building dashboards — it is the data work that makes a meaningful dashboard possible in the first place. Concretely, you will be:

• Looking at data from multiple vendors side by side and deciding what to trust.
• Reconciling entities across sources that have different shapes and quality.
• Proposing and validating the logic that matches and scores them.
• Defining metrics and ground truth for questions nobody has asked before.
• Tracing why numbers don't line up across partial and sometimes contradictory sources.

Dashboards and visualizations are part of how findings get communicated, but they come at the end — the surface of the work, not its core. Most of your time is spent on what sits underneath: methodology, judgment calls on data quality, and shaping how the domain understands its own numbers.

Responsibilities

• Measurement & Evaluation Foundations: Define how we measure what matters — data quality, the accuracy of our AI scoring, how many records actually get matched to usable signals, cost per outcome. Build the feedback loops that tell us whether a change makes the system better or worse.

• Scoring Intelligence (co-owned with engineers): Partner with the engineering team on the LLM-based scoring system. You will build the evaluation framework for AI scoring, run experiments comparing prompts, models, and approaches against a baseline, and make data-backed calls on where we invest next. Our AI scoring system is actively evolving — you will shape how we measure and improve it.

• Client-related Analysis: Own the analytical side of the work that internal sales and media-buying teams bring in from pharma clients — how reachable a target audience is, how good the data looks, why a campaign performed the way it did. You turn their questions into data-backed answers they can use. Identity is a product core; the analyst works with internal teams, not with clients directly.

• Cost and Value Analysis: Turn cost and value into product decisions. Which data sources and enrichment scenarios pay off, where we overspend, what to cache, what to cut. We operate a mix of free owned data and paid external providers — the decisions have real dollar impact.

• Active AI Usage: Use Claude Code and modern AI engineering tools to multiply your own output. Automate the repetitive parts of analysis so you can focus on the decisions. We provide Claude Code licenses and expect active daily use.

• Data Quality Response: When pipeline output drifts, a provider degrades, or upstream data shifts, you notice first, diagnose the root cause, and drive the fix. You treat data quality as a product, not a ticket queue.

Requirements

• 5+ years as a Data Analyst, Analytics Engineer, or Data Scientist in a product team (not consultancy, not BI-only roles).
• Advanced SQL at TB scale — BigQuery, Snowflake, or equivalent warehouse. You can read and write complex queries on tens of terabytes without someone pre-modelling the data for you.
• Python for analysis at a working level — pandas, Jupyter, or modern equivalents. Comfortable putting together a small script or helper when an existing tool doesn't cover your case.
• Built measurement or evaluation frameworks from scratch for systems that had no baseline. You are comfortable defining what and how to measure, not consuming someone else's KPI.
• Comfort with probabilistic systems. You understand that noise is inherent and 100% accuracy is not the goal — scoring, matching, ranking.
• AI-native workflow. You already use Claude Code, ChatGPT, Copilot, or similar AI tools daily and integrate them into your analytical process.
• English: B2+ (Upper-Intermediate) or higher.

Strong plus 

• LLM evaluation experience — A/B testing AI-powered features, output scoring, prompt iteration with measurable outcomes.
• Identity resolution / identity graph experience — adtech, martech, or customer data platform context (LiveIntent, LiveRamp, Epsilon, Experian Marketing, Acxiom, Merkle, or similar).
• Healthcare or pharma data — working with NPI, HCP-level data, healthcare taxonomies, pharma targeting.

Nice to have

• Experience running controlled experiments on data pipelines.
• Prompt engineering or structured LLM prompt design.
• Prior work in AI-first product companies.

What We Offer

• Fully remote with flexible hours, with working overlap in CET ±2 hours for syncs.
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech — both for daily work and as part of product logic.
• High-Impact Role: You will directly shape how we identify, score, and reach healthcare professionals — the core business of our domain.
• Small team, direct impact: You will work directly with Product and Engineering leads — no layers between you and the people making decisions.
• No Bureaucracy: Fast decisions, no legacy processes, focus on results.

We are looking for a Data / Backend Engineer to architect and scale the core data infrastructure behind our healthcare marketing platform. In this role, you will design high-throughput data systems that process millions of behavioral events, power real-time attribution and user scoring, and enable precise targeting of healthcare professionals across 20+ channels.

You will work at the intersection of data engineering, backend systems, and marketing infrastructure, building scalable pipelines, tracking systems, and APIs that support analytics, segmentation, and campaign activation. The role also involves experimenting with AI-powered automation and agent-based workflows to improve internal operations and product capabilities.

This is a high-ownership position where you will shape architecture decisions, build critical platform components from the ground up, and help evolve our data platform as the company scales.

Responsibilities

- Architect and own data-heavy backend systems powering real-time attribution, user modeling, and scoring

- Build and evolve client-side tracking pixels (like FB pixel / Amplitude snippet / Heap autocapture) from scratch

- Set up and manage scalable ETL workflows: cleaning, merging, enriching, splitting, transforming across millions of behavioral events
Lead the build of CDP / CDXP-style data layers to support segmentation, scoring, and activation across channels

- Connect and compose systems using modern low-code / no-code tools (n8n) to accelerate ops

- Implement and maintain high-availability APIs for analytics, scoring, and campaign delivery

- Drive experimentation around AI-powered agents and automation tools that can boost internal workflows

Requirements

- System Design & Data Architecture:
Designs scalable, event-driven data platforms with strong decoupling, fault tolerance, and horizontal scalability. Builds real-time and batch pipelines using lakehouse architectures and streaming systems (Kafka / PubSub).

- Distributed Data Processing (Spark / BigQuery / Iceberg):
Expert in large-scale data processing, query optimization, and cost-efficient analytics. Deep understanding of Spark execution, partitioning, and modern table formats (Iceberg / Delta).

- Cloud & Infrastructure (GCP / Kubernetes):
Builds resilient cloud-native data platforms on GCP and Kubernetes using IaC, autoscaling, and secure access (IAM, Workload Identity).

- Python Engineering:
Develops high-performance Python services for data and ML workloads with focus on concurrency, clean architecture, and production-grade quality.

- Databases & Performance (PostgreSQL / OLTP):
Optimizes high-throughput OLTP systems through indexing, partitioning, and query analysis (EXPLAIN ANALYZE, MVCC).

- Reliability & Observability (SRE):
Implements resilient data systems with idempotency, retries, observability, SLOs, and incident management.

- AI / LLM Integration:
Integrates LLMs into production pipelines with structured outputs, caching, batching, prompt versioning, and evaluation.

- Workflow Orchestration (Airflow / Dagster):
Designs scalable DAG-based workflows with dependency management, retries, and reproducible backfills.

- CI/CD & DevOps for Data:
Implements safe deployments for data systems including schema migrations, canary releases, and data contracts.

- Ownership & Engineering Maturity:
Owns end-to-end production systems and architecture decisions while balancing delivery speed, quality, and technical debt.

Nice-to-have: 

- Experience in MarTech / AdTech platforms (e.g., DSPs, attribution systems, DMP/CDP tools)

- Deep knowledge of data matching/fingerprinting techniques (identity graphs, IP + UA resolution, hashed PII workflows)

- Strong prompt engineering skills — not just ChatGPT 101, but chaining, system prompting, tooling integration

What We Offer
- Fully remote with flexible hours (aligned with EU timezones for syncs).
- Influence on quality strategy across the entire engineering organization.
- A cross-team role with visibility into every part of the product.
- AI-first tooling.
- Claude Code licenses and cutting-edge AI development workflows. 
- A team with no bureaucracy, decisions are made fast.

Web Flutter Developer (Remote)

We are looking for a Web (Flutter) Developer to join the company's digital team and help support and evolve web platforms. 

What you’ll do:

• Build and maintain Flutter Web applications
• Work with Dart, async programming, and RESTful APIs / JSON
• Implement the BLoC pattern and follow MVVM / Clean Architecture principles
• Write clean, readable, and maintainable code
• Collaborate with the team and participate in code reviews

Requirements:

• Have at least 1 year of commercial experience with Flutter on web development. Experience with Dart.
• Understanding of asynchronous operations and HTTP requests
• Strong willingness to learn and grow professionally
• Team-oriented mindset
• It would be nice if you have a conversational English level, but it is not mandatory.

What company offers:

• Fully remote, work from anywhere
• Opportunity to grow into a Middle/Senior role
• Supportive team and mentorship

Who you are:

• Curious, proactive, and enjoy solving problems
• Detail-oriented and take pride in getting things right
• Communicate clearly and work well with different teams
• Motivated to build a strong foundation and grow as a web professional

Nice to have (but not required)

• Basic knowledge of PHP, HTML, CSS, JavaScript
• Exposure to CMS platforms, performance basics, or SEO fundamentals
• Interest in analytics and measurement tools (e.g. GA4)

Personal projects on Flutter (Web) to share (GitHub, portfolio, university projects).