Jobs at Djinni

The Opportunity: Drive Performance, Engagement, and Growth

ELVTR is a premier online education platform that produces premium courses taught by the world’s top business leaders. As we continue scaling globally, we are looking for a proactive, business-minded HR People Partner to play a key role in strengthening team effectiveness, performance, and employee experience.

This is not a purely administrative HR role. You will act as a strategic partner to managers and team leads, helping shape a high-performing, engaged, and resilient organization.

Who You Are

A Business-Oriented HR Partner: You understand that HR is a driver of business outcomes. You connect people's decisions with performance, retention, and growth.
A Performance & Engagement Champion: You are comfortable addressing complex people matters, providing honest feedback, and guiding managers through challenging situations.
Data-Driven & Insightful: You rely on metrics, patterns, and signals rather than assumptions. You translate HR data into practical, actionable recommendations.
Proactive & Ownership-Driven: You don’t wait for problems to escalate. You identify risks early and take responsibility for solving them.
 

Responsibilities

Own and drive the full employee lifecycle, from onboarding and performance management to development, retention, and offboarding
Conduct regular 1:1 check-ins to monitor engagement, well-being, and performance, proactively identifying and addressing risks (burnout, low performance, retention concerns)
Partner closely with Department Heads and Team Leads to strengthen team effectiveness, improve performance, and resolve complex people matters
Lead and support leadership and team development initiatives to build strong managerial capability
Analyze HR metrics and translate data into actionable insights and business recommendations
Support compensation and performance review processes, ensuring fairness, consistency, and alignment with business goal
Continuously improve and optimize HR processes, frameworks, and internal policies
Contribute to strategic HR initiatives and cross-functional projects supporting organizational growth and scaling
 

Requirements
2+ years of experience as an HR Manager, HR People Partner, or in a similar HR role
Fluent English proficiency
Hands-on experience managing the full employee lifecycle (onboarding, probation, performance reviews, retention, offboarding)
Strong understanding of performance management and employee motivation principles
Excellent communication skills with the ability to effectively partner with managers and employees at all levels
Confidence working with HR data, metrics, and reports, with the ability to make informed decisions based on insights
Proactive, solution-oriented mindset with a high level of responsibility and ownership
 

Nice to Have

Coaching or mentoring experience
 

Benefits
Impact & Ownership: A role with real influence on organizational performance, culture, and growth.
Global Environment: Work within a fast-growing, international company operating across multiple markets.
Remote Flexibility: Work from anywhere with a high level of autonomy.
Growth: Access to ELVTR courses and opportunities to expand into broader strategic HR initiatives.
 

Join Us

Are you passionate about building high-performing, engaged, and resilient teams? Do you thrive in a role where you can influence business outcomes through people strategy, performance management, and organizational development?

If you are ready to take ownership, partner closely with leaders, and play a meaningful role in a fast-growing global company, we would love to hear from you. Apply now and grow your career with ELVTR

ELVTR is committed to providing equal opportunities and fostering a diverse, inclusive environment for all.

We are looking for a hands-on CRM / Retention Manager to build and scale player lifecycle communications from the ground up.

You will be responsible for setting up CRM processes, launching multi-channel campaigns, and continuously optimizing retention performance. This role requires a strong ownership mindset and close collaboration with product and casino teams.

Key Responsibilities

• Set up and manage CRM processes in Customer.io: build segments, events, attributes, and messaging flows to ensure стабильная performance and target metrics delivery
• Launch and manage communications across channels: email, push, in-app, and personalized offers for different player segments
• Work closely with the Casino Manager on the activity calendar:
  • propose CRM scenarios to support promotions
  • prepare segments and offers
  • launch campaigns on time
• Design and optimize bonuses and promo mechanics together with the Casino Manager to improve retention while controlling promo costs
• Establish a continuous optimization process for CRM flows (iterations, testing, improvements)
• Monitor key metrics and dashboards, identify anomalies, bottlenecks, and growth opportunities

Requirements

• 3–5+ years of experience in CRM / Retention in iGaming or similar product environments
• Strong hands-on mindset — ability to both build and execute
• Experience working in fast-paced, product-driven teams
• CRM systems:
  building journeys, segments, events/attributes, templates, campaigns; debugging, launching, and monitoring
• Channel management:
  Email / SMS / Web Push / In-App — setup, sending logic, frequency caps
• User segmentation:
  RFM, behavioral segmentation, lifecycle stages, VIP and anti-abuse triggers
• A/B testing:
  experiment design, execution, and analysis
• CRM analytics:
  ability to work with metrics and make data-driven decisions
• Deliverability:
  understanding and operational control (open rates, spam, inbox placement)
• Advanced CRM setup:
  dynamic variables, personalization, localization, UTM/tagging, content rules

We are hiring a Senior Data Analyst for our client.

Our client is a fast-growing consumer health brand in the gut health / probiotics space, operating primarily on the U.S. market. The company sells products through major retail chains and online marketplaces and is scaling its operations across e-commerce, logistics, finance, and internal analytics. Automation and system integrations play a critical role in supporting this growth.

The role is focused on building and maintaining integrations between internal tools and external services, automating operational workflows, and ensuring reliable data flows across systems.

We are looking for a Senior Data Analyst to support data-driven decision-making across our omnichannel business (Amazon, TikTok Shop, Walmart, Target). This role partners with Marketing, eCommerce and Finance to translate data into insights that drive company growth and profitability.

WHAT YOU WILL DO:

Deep-dive marketplace performance and identify key growth drivers.
Build actionable dashboards and analytical models for: Sales, margin, and profitability, Customer cohorts & LTV, SKU & portfolio performance, New product launch tracking
TikTok Shop performance analytics including: Funnel & conversion behavior, Creator / affiliate performance and ROI, Promotion & pricing impact, Repeat purchase / retention trends
Analyze drivers of growth & decline
Support retail performance tracking
Present insights, trends, and recommendations to senior leadership

JOB QUALIFICATIONS:

Bachelor's Degree in Statistics, Mathematics, Computer Science, Economics or related field.
Proven experience as a data analyst.
Proficiency in data analytics software and tools (must have: Excel, Google sheets, SQL, Power BI; nice to have: Tableau, R, Python).
Strong analytical skills with the ability to collect, organize and analyze large amounts of data with accuracy.
Excellent verbal and written communication skills (English: Upper intermediate).

Working format

• Full-time, remote
• Working schedule: 17:00 – 02:00 (Ukrainian time)

What our client offers:

• Competitive compensation aligned with market standards
• A stable full-time role in a growing international business
• Opportunities for professional growth and long-term collaboration
• A flexible, remote-friendly working environment
• Bonuses and benefits system (will be discussed during the interview)

About Genius Match 

Genius Match was established with the mission to connect exceptional global technical talent with high-growth opportunities. We have served as strategic partners to leading technology companies, innovative startups, and established enterprises by building cohesive, high-performing engineering teams that deliver immediate impact.  

Since our inception, our long-standing commitment to excellence has driven our exceptional client retention rate and our ability to truly understand our clients' business goals, speak their technical language, and consistently deliver both immediate value and long-term results.  In the same way that we strive to support our clients and employees, we’re passionate about making a positive difference in our global community. 
 

The Opportunity 

We're seeking a detail-oriented Lead Generation Specialist to fuel our sales pipeline with high-quality prospect intelligence. In this essential role, you'll build the foundation for our sales and outreach campaigns by identifying and researching qualified prospects across software companies, enterprises, and high-growth startups.  You will also work with setting up campaigns using automation tools and tracking and monitoring them for results. 

what you'll own: 

• research and build prospect lists  
• identify buying signals 
• compile event-based lead lists (conferences, meetups, summits) 
• verify and clean contact data before it goes into any campaign 
• maintain CRM hygiene and list segmentation 
• set up and monitor LinkedIn and email automation campaigns 
• familiar with popular research and automation tools 
• can create high converting sequences 
• track performance metrics and flag what needs to change 
• manual research and cold calls to leads with high buying intent 

• meet KPI metrics in terms of qualified meetings 

   

what we're looking for 

• experience in B2B lead generation, ideally in tech services, staffing, or SaaS 
• you know the difference between a qualified lead and a contact who happens to exist 
• strong with LinkedIn, Sales Navigator, Apollo, Clay, and similar tools 
• comfortable running email and LinkedIn automation, ideally owning a couple of accounts 
• you understand the importance of data quality 

• self-directed and comfortable working remotely without daily hand-holding 

   

nice to have 

• you've worked in or around outstaffing, staff augmentation, or engineering recruiting 
• you've built lists from scratch using trigger-based signals, not just job titles

• familiarity with target personas: CTOs, VPs Eng, technical Founders 

   

What We Offer 

• competitive compensation with performance bonuses based on lead quality and team feedback 
• opportunity to grow with the company as we scale our sales operations and build advanced research capabilities 
• professional development opportunities and mentorship from sales leadership 
• remote-friendly work environment with flexible scheduling and core US business hour overlap 
• collaborative culture where your research directly impacts company growth and success 

• chance to help establish research methodologies and processes in a growing organization 

   

At Genius Match, we're not just building prospect lists, we're creating the intelligence foundation that drives transformative client partnerships. Join us and help fuel the next phase of our growth story. 

Frontend Developer (React / TypeScript)

Шукаємо Frontend Developer-а до нас у команду

Наш стек:

☞React 19

☞TypeScript

☞Vite

☞Tailwind CSS

☞Shadcn/ui 

☞React Router 7

☞TanStack Query

☞TanStack Table

☞Axios

☞Recharts

Чим будеш займатись:

• Розробка інтерфейсів

➜Створення сторінок та компонентів на React + TypeScript

➜Верстка по Figma

➜Робота з shadcn/ui та Tailwind CSS

➜Розробка власних reusable-компонентів

• Робота з даними

➜Інтеграція фронту з backend через REST API

➜Робота з Axios та TanStack Query

➜Обробка loading/error/empty states

•Таблиці та дашборди

➜Побудова таблиць на TanStack Table

➜Сортування, фільтрація, пагінація, експорт

➜Графіки та візуалізації через Recharts

•Навігація та форми

➜Налаштування routing на React Router 7

➜Protected routes та nested routes

➜Робота з формами, валідацією та датами

•Якість коду

➜Типізований та чистий код

➜Custom hooks та перевикористання логіки

➜Code review та підтримка єдиного стилю кодової бази

•Оптимізація

➜Робота з Vite

➜Оптимізація performance та bundle size

➜Покращення швидкості завантаження

• Командна робота

➜Комунікація з дизайнером та backend-командою

➜Декомпозиція задач та оцінка термінів

➜Робота в таск-трекері

Що для нас важливо:

MUST HAVE 
- React 19 + TypeScript від 2ї років комерційного досвіду 

 - реальний та сильний досвід з TanStack Query 

 - TanStack Table v8 - server-side pagination/sort

 - REST API integration - axios interceptors, auth flow

 - Vitest или Jest + RTL - реально писав тести

 - Tailwind CSS

 -  Vite
 

Nice-to-have

  - Shadcn/ui

  - Recharts або інша чарт лаба

  - React Hook Form + Zod

  - Досвід с Laravel/Sanctum auth flow

Що даємо:

• Сильну внутрішню команду

• Цікавий продукт та сучасний стек

• Мінімум бюрократії та мікроменеджменту

• Адекватні процеси та швидкий rollout задач

• Remote формат

• Конкурентні умови

About the Role

We are looking for a Senior Data Engineer to support a wealth/asset management client with data integration, data platform modernization, reporting, and analytics enablement.
The ideal candidate should have strong experience building reliable data pipelines, integrating enterprise and financial systems, preparing data for BI/analytics, and working with business-critical datasets where accuracy, governance, and data quality are essential.
This role may involve working with data from portfolio management systems, CRM / ERP platforms, SAP, finance systems, reporting tools, and cloud-based data platforms.

Responsibilities:
 

• Design, build, and maintain scalable data pipelines from enterprise systems into analytics/reporting environments
• Integrate data from systems such as SAP, CRM, portfolio/wealth management platforms, APIs, flat files, and databases
• Build and optimize data models for BI, reporting, dashboards, and business analytics
• Support Tableau / Power BI reporting by preparing clean, reliable, well-structured datasets
• Develop ETL / ELT workflows for ingestion, transformation, validation, and reconciliation
• Implement data quality checks, monitoring, logging, and issue resolution processes
• Work with business stakeholders to understand reporting requirements and translate them into data models
• Collaborate with analysts, BI developers, application teams, and business users
• Support migration or modernization of legacy reporting/data workflows into a more scalable architecture
• Ensure data security, access control, governance, and compliance with financial-industry expectations

Requirements
 

• 5+ years of experience in data engineering, data warehousing, or analytics engineering
• Strong SQL skills and experience designing analytical data models
• Experience building ETL / ELT pipelines and working with structured business data
• Hands-on experience with cloud data platforms or warehouses such as Snowflake, Databricks, Redshift, BigQuery, Azure Synapse, or similar
• Experience integrating data from ERP / enterprise systems; SAP experience is a strong plus
• Experience supporting BI tools such as Tableau, Power BI, Looker, or similar
• Strong understanding of data quality, reconciliation, lineage, governance, and access control
• Experience working with APIs, batch data loads, scheduled jobs, and file-based integrations
• Ability to work with stakeholders to clarify reporting needs and data definitions
• Strong communication skills and ability to work in a client-facing environment
   

Nice to Have
 

• Experience in wealth management, asset management, private banking, investment management, family office, or financial services
• Experience working with portfolio, holdings, transactions, performance, client, or advisor data
• Experience with SAP data extraction/integration, SAP BW, SAP HANA, or SAP Datasphere
• Experience with Tableau and Power BI semantic models/datasets
• Experience with Python for data processing and automation
• Experience with dbt, Airflow, Fivetran, Matillion, Informatica, Azure Data Factory, AWS Glue, or similar tools
• Experience with master data management, data catalogues, data lineage, or data governance platforms
• Understanding of financial reporting, regulatory reporting, or client reporting workflows

We are looking for a results-driven Account Manager / Lead Generator to join our team. If you have strong communication skills and know how to generate leads, we’d be happy to meet you. 🚀
 

This role offers growth opportunities in the Sales direction. 💰

Responsibilities:

- Search for potential clients and generate new leads

- Build and maintain strong relationships with clients

- Negotiate terms and support clients throughout the sales process

- Manage ongoing communication with clients

- Work closely with the team to ensure successful project delivery

- Follow up with prospects and convert them into long-term clients

Requirements:

- English level B2 (written and spoken)

- Strong communication and negotiation skills

- Sales mindset and proactive attitude

- Experience in sales, account management, or lead generation will be an advantage

- Ability to work independently and achieve targets

- Responsibility and good organizational skills

If you are ambitious, communicative, and want to grow in sales, you to us. 🔥

We are looking for a seasoned Reddit Specialist who knows how to navigate the platform’s unique ecosystem. This role isn't about traditional "posting"—it’s about building trust, sparking discussions, and driving organic interest without looking like a typical advertiser.

📌 Key Responsibilities

• Subreddit Engagement: Identifying and participating in relevant subreddits to build account authority and brand presence.
• Content Strategy: Creating platform-native content, including detailed text posts, high-value comments, and engaging AMAs.
• Organic Growth: Managing multiple accounts to drive traffic and engagement while strictly adhering to subreddit rules and "Reddiquette."
• Monitoring & Listening: Tracking brand mentions and industry keywords to jump into relevant conversations early.
• Reporting: Analyzing sentiment, reach, and conversion metrics from Reddit-sourced traffic.

🎯 Requirements

• Experience: Minimum 2+ years of professional experience specifically managing Reddit accounts or marketing campaigns.
• English Proficiency: Level B2+ or higher. You must be able to write in a way that sounds natural, conversational, and "human"—Reddit users are very quick to spot (and reject) AI-sounding or overly formal text.
• Platform Expertise: Deep knowledge of how karma works, how to avoid shadowbans, and how to work with subreddit moderators.
• Availability: Full-time. You must be active and responsive during standard working hours.

Technical Requirements (Critical)

• Hardware: Personal laptop.
• Connectivity: Stable, high-speed internet.
• Power Resilience: Must have an UPS or Power Station (e.g., EcoFlow, Bluetti) and a backup internet source to ensure constant uptime.

💼 What We Offer

• Fully Remote: Work from anywhere.
• Top-Tier Projects: Work with high-profile US-based businesses.
• Stability: Full-time engagement with a regular schedule and stable payments.
• Autonomy: A clear set of goals with the freedom to execute creative community strategies.

How to Apply

Please provide a brief overview of your Reddit experience (including any specific niches you’ve worked in), your current location, and your English level. Links to profiles or case studies are highly encouraged.

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.

We are looking for a responsible, detail-oriented, and organized SMM/Content Manager to manage our social media presence. If you excel at organizing your own workflow, stay consistently reachable, and are ready for a full-time commitment, we would love to have you on our team!

📌 Key Responsibilities

• Content Publishing: Posting ready-made content across our social media platforms.
• Content Planning: Developing content plans and occasionally creating original content.
• Account Management: Administering approximately 11 pages/accounts across various platforms.
• Scheduling: Strictly following the content plan and ensuring all posts go live on time.
• Quality Control: Checking for correct formatting and display once content is published.

🎯 Requirements

• English Proficiency: Level B2+ or higher. You must be able to communicate verbally with our US-based client.
• Availability: Full-time only. You must stay online during working hours and react promptly to tasks.
• Experience: Previous background as an SMM or Content Manager. A portfolio is a significant plus.

Technical Requirements (Critical)

• Hardware: Personal laptop.
• Connectivity: Stable, high-speed internet.

💼 What We Offer

• Fully Remote: Work from anywhere.
• High-Level Exposure: A contract with a top-tier US business.
• Stability: Full-time employment with a standard working schedule and timely salary payments.
• Clarity: A clear and well-defined set of tasks.
   

How to Apply

Please keep your cover letter brief. Simply provide a short description of your previous experience, your current location, your English level, and a link to your portfolio.

On behalf of our client, we are looking for a Senior AQA Engineer.

Responsibilities:

- Develop and maintain automated tests using WebdriverIO (WDIO)

- Work with API testing tools such as Postman, REST Assured, or similar

- Perform functional, regression, integration, API, and end-to-end testing

- Integrate automated tests into CI/CD pipelines

- Use AI-powered testing tools and AI-assisted development tools for test creation and maintenance

- Collaborate with distributed cross-functional teams

- Document test strategies, defects, and testing results

- Mentor junior engineers and help maintain quality standards

Requirements:

- 5+ years of experience in Automation QA

- Expert-level proficiency in JavaScript as the primary scripting language

- Working knowledge of Python or Java is a strong plus

- Deep hands-on expertise with WebdriverIO (WDIO)

- Experience with additional automation frameworks such as Cypress, Appium, Playwright, or similar

- Proficiency with API testing tools such as Postman, REST Assured, or similar

- Experience integrating automated tests into CI/CD pipelines

- Strong knowledge of Git

- Strong understanding of testing methodologies (functional, regression, integration, performance, API, e2e)

- Experience with AI-powered testing tools and AI-assisted development tools

- Strong English communication skills

Nice to Have:

- Experience with performance/load testing tools (Locust, JMeter, k6, Gatling)

- Familiarity with Docker, Kubernetes, AWS, Azure, or GCP

- Experience testing AI/ML-based applications

- ISTQB or similar QA certification

- Familiarity with security testing fundamentals

- Experience with Burp Suite, OWASP ZAP, Charles Proxy, or Fiddler

Company offers:

- Long-term employment with possibilities for professional growth

- Fully remote work

- Reasonably flexible schedule

- 15 days of paid vacation

- Regular performance reviews