Jobs

About the Company

Our client is a leading autonomous vehicle technology company operating at the cutting edge of self-driving software development. Their internal simulation platform is mission-critical; every software change to the autonomy stack is validated through simulation before reaching the road.

Role Overview

We are looking for an experienced Python engineer to join a short-term engagement supporting a legacy internal tooling application currently undergoing an ownership transition. This is a high-trust, high-visibility role: you will be the single point of contact for an important simulation-related tool, responsible for keeping it running, handling user requests, and converting years of tribal knowledge into structured documentation, paving the way for the tool's eventual integration into the company's broader platform.

This role is well-suited to a seasoned engineer who thrives in support-oriented environments, communicates clearly, and can navigate legacy codebases with confidence.

Key Responsibilities

• Serve as the primary owner and day-to-day support engineer for a Python/JavaScript (Vue.js) internal application
• Monitor a dedicated Slack channel and respond promptly to user requests: data queries, bug reports, and minor feature asks
• Implement small enhancements (additional UI fields, database schema changes, configuration updates, etc.)
• Participate in structured knowledge transfer sessions with the outgoing developer
• Create comprehensive technical documentation: architecture, data models, runbooks, and tribal knowledge capture
• Transfer documented knowledge to the receiving engineering team
• Provide on-call weekend support via OpsGenie, responding to alerts and resolving incidents if any.

Requirements

• 5+ years of professional software engineering experience
• Strong proficiency in Python (backend services, scripting, debugging)
• Solid experience with PostgreSQL or equivalent relational databases (querying, schema management)
• Ability to read, understand, and maintain legacy/undocumented codebases
• Basic frontend skills sufficient to make UI-level changes (JavaScript / Vue.js)
• Experience working in Slack-based async support environments
• Excellent written and verbal communication skills in English
• Availability during California business hours (9 AM - 5/6 PM PT) with reliable on-call coverage on weekends
• Comfortable installing and using OpsGenie for incident alerting

Nice-to-Have Skills

• Prior experience in autonomous vehicles, robotics, or simulation-heavy domains
• Familiarity with Kafka or event-driven architectures
• Experience with knowledge transfer projects or technical documentation initiatives

Background working with tools like Airflow (contextual awareness, not hands-on required)

TemaBit Fozzy Group is an IT company that develops unique solutions for more than 40 businesses of Fozzy Group. We specialize in web and mobile development, as well as software for managing business processes and infrastructure projects.

In addition, we experiment and care about the team and the Guest, we value cooperation, we preach honesty and openness.

You will play a key role in our engineering team by leading the design, development, and maintenance of high-quality applications. Your expertise in Backend (with focus on Cloud Native) and Frontend development, coupled with a solid understanding of backend architectures, will drive the creation of scalable, efficient, and secure software solutions. You will mentor other developers, contribute to architectural decisions, and ensure the delivery of robust applications that meet business needs.

Key Responsibilities:

• Lead the development of backend and frontend systems using .NET (with focus on Cloud Native development) and React JS, ensuring code quality, performance, and scalability
• Collaborate within cross-functional engineering team and with other teams to design and develop high-quality web applications
• Drive engineering excellence by adopting and following engineering best practices in your team
• Participate in the entire software development lifecycle, from concept to deployment
• Contribute to the architecture and implementation of scalable and efficient solutions
• Mentor junior and middle developers, guiding them through code reviews, and fostering a culture of continuous learning and improvement
• Define and promote best practices for using AI-assisted development tools (e.g., Claude Code, GitHub Copilot) to streamline coding, testing, documentation, and problem-solving

• Provide strategic guidance on how AI can enhance software development processes and overall team performance

   

Requirements:

• 5+ years of .NET development
• Proficiency in .NET 8+
• Proven experience with AI-assisted development tools and the ability to coach others on effective usage
• Experience of AWS Cloud Native development with focus on Serverless; familiarity with AWS services (i.e. Lambda, API Gateway, DynamoDB, S3, and EC2)
• Experience with Front End development using one of popular frameworks (React, Vue, Angular)
• Track record of implementing microservices based back-ends
• Strong knowledge of Entity Framework / EF Core / Dapper
• Deep understanding of DDD, Event Sourcing, CQRS
• Understanding of relational and non-relational databases
• Experience with xUnit or similar with testing frameworks
• Experience with containerization and orchestration technologies (Docker, Kubernetes)
• Understanding of Infrastructure as Code principle (experience with CDK will be a plus)
• Understanding of Agile/Scrum methodologies and experience working in an Agile environment
• Intermediate/B1 English Level, ability to read & write tech documentation

• Excellent communication & collaboration skills

   

Nice-to-have Skills & Experience:

• Experience with DynamoDB and PostgreSQL
• Experience building Gitlab CI/CD pipelines

• Successful mentoring experience

   

We propose:

• The ability to generate and influence decision-making
• Competitive salary discussed based on the results of the interview with the successful candidate
• Medical insurance
• Discounts for network employees
• Remote work mode, and if you want to work in the office — there is a cozy co-working space in the Silver Breeze business center (Kyiv)

We are looking for a Senior Data Scientist to build the core intelligence layer of our Session Analyzer product: scoring, audience segmentation, and prescriptive recommendations for pharmaceutical marketing teams. You will operate as a “full-stack” data scientist across data validation, data engineering (prod pipelines), ML modeling, causal measurement, and AI-assisted workflows (agents for insights and data diagnostics). You will work directly with the Product Lead and Tech Lead.

Responsibilities

- Design and ship scoring, segmentation, and recommendation features based on pixel session/event data, NPI-enriched profiles, and 3rd-party datasets.

- Build a data quality & validation framework from scratch: tests, monitors, anomaly detection, drift tracking, and root-cause workflows across the data chain.

- Deliver batch PoC (days latency) and evolve to near-real-time MVP (hours latency) pipelines and feature tables.

- Develop and evaluate ML models for engagement prediction and audience targeting; ensure calibration, stability, and business-relevant lift.

- Define and implement measurement/attribution approaches to support ROI uplift and explain “what worked / why”.

- Build AI agents for (1) automated data issue diagnostics and (2) insight/presentation generation, with guardrails and traceability.

- Produce outputs as score tables, top insights, aggregates/features, dashboards/reports, and APIs for audience activation and CDP/CRM integrations.

Requirements

- 5+ years in Data Science / Analytics roles with production ownership.

- Strong Python + SQL; hands-on building production pipelines and data products.

- Experience with event/session analytics, aggregation modeling, and working with noisy web/pixel data.

- Proven ability to build propensity/engagement models, segmentation, and recommendation logic; strong evaluation practices.

- Working knowledge of causal inference / attribution methods for marketing effectiveness.

- Experience with GCP / BigQuery in production; familiarity with ClickHouse/Postgres is a plus.

- Ability to operate end-to-end: problem framing → data validation → modeling → deployment → monitoring → stakeholder comms.

- Hands-on experience building and operating data-driven marketing/advertising analytics products, including event-level measurement, audience segmentation, activation workflows, and performance attribution (AdTech/MarTech environments).

Nice-to-have: 

- Experience with agents (LLM-based workflows), automated insights, and safe deployment patterns.

- Familiarity with data quality tooling (e.g., Great Expectations/dbt tests) and observability.

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 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 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 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.

We are looking for a Senior Media Buyer to take ownership of our advertising channels performance and play a key role in shaping our future product strategy. This position combines hands-on media buying expertise with a strategic mindset, offering a clear growth path toward a Product Manager role.

You will work closely with company leadership, data, and engineering teams to scale advertising performance, optimize channel integrations, and gradually transition into product-driven decision-making.

Key Responsibilities

Own and manage paid media campaigns across multiple advertising platforms
Drive performance optimization through testing, scaling, and data analysis
Collaborate with data, engineering, and product teams to improve campaign efficiency and tracking
Translate business goals into actionable media buying strategies
Identify growth opportunities across new and existing advertising channels
Work closely with leadership to align media strategy with overall business objectives
Mentor junior media buyers and contribute to team knowledge sharing

Growth Scope (Product-Oriented Responsibilities)

Participate in shaping the strategy for advertising channel integrations
Provide insights to improve automation and data synchronization between platforms
Collaborate on defining requirements for internal tools and dashboards
Contribute to roadmap discussions related to marketing and adtech capabilities
Gradually take ownership of product initiatives related to acquisition and performance marketing

Primary Focus

Scale and optimize paid acquisition channels (social, programmatic, etc.)
Improve campaign performance through data-driven decision-making
Enhance tracking, attribution, and reporting accuracy
Reduce manual processes through automation and tooling

Secondary Focus

Explore and test new advertising platforms and traffic sources
Identify high-potential channels for scaling
Support integration of new channels from a business and performance perspective

Technical & Analytical Contribution

Work closely with APIs, tracking systems, and attribution tools
Ensure data accuracy and consistency across platforms
Provide structured feedback for improving internal tools and integrations
Support automation initiatives to increase efficiency and scalability

Required Qualifications

4–6+ years of hands-on experience in media buying / performance marketing
Strong experience with major advertising platforms:

• Paid social (Meta, TikTok, LinkedIn, etc.)
• Programmatic / DSPs (as a plus)

Strong analytical mindset and experience with data-driven optimization
Experience with tracking, attribution models, and performance analytics
Understanding of marketing funnels and user acquisition strategies
Experience working with large budgets and scaling campaigns
AI-first mindset: willingness to use AI tools for optimization, testing, and automation
Strong communication skills and ability to work cross-functionally
Experience mentoring or leading junior team members

Nice to Have

Experience with programmatic ecosystem (DSPs, SSPs, ad exchanges)
Basic understanding of APIs, integrations, or marketing tech infrastructure
Experience collaborating with product or engineering teams
Background in automation or building internal tools
Interest in transitioning into a Product Manager role

Why this role

This is not just a media buying role — it's an opportunity to grow into Product Management, influence platform development, and shape how advertising technology is built and scaled within the company.

Senior Technical Marketing Specialist (Growth / AdTech)

We are looking for a Senior Technical Marketing Specialist to drive our advertising ecosystem, optimize performance channels, and contribute to the evolution of our marketing infrastructure.

This role sits at the intersection of marketing, data, and product, making it ideal for someone with a strong performance background and a technical mindset who wants to influence how marketing systems are built and scaled.
 

You will work closely with company leadership and cross-functional teams to improve channel performance, enhance integrations, and shape the future of our marketing capabilities.

Key Responsibilities

Own and optimize performance marketing across multiple channels (paid social, programmatic, etc.)
Translate business needs into scalable marketing and technical solutions
Collaborate with engineering and data teams to improve tracking, attribution, and integrations
Analyze campaign performance and drive data-informed decisions
Identify growth opportunities across channels and markets
Contribute to the development of internal tools and automation processes
Align marketing efforts with overall product and business strategy

Primary Focus

Optimize and scale paid acquisition channels
Improve data accuracy, attribution, and reporting systems
Drive automation of marketing processes to reduce manual work
Enhance efficiency and scalability of marketing operations

Secondary Focus

Explore and test new advertising channels and tools
Support integration of new platforms from a marketing and performance perspective
Contribute to strategic decisions on channel expansion

Technical & Product Contribution

Work closely with APIs, tracking systems, and marketing tools
Define requirements for marketing-related features and internal tools
Support development of scalable marketing infrastructure
Ensure data integrity and compliance across platforms
Participate in roadmap discussions related to marketing and growth

Required Qualifications

4–6+ years of experience in performance marketing / growth / media buying
Strong hands-on experience with major advertising platforms (Meta, TikTok, LinkedIn, etc.)
Strong analytical mindset and experience with data-driven decision-making
Experience with tracking, attribution models, and marketing analytics
Understanding of marketing funnels and user acquisition strategies
Comfort working with technical teams and discussing integrations
AI-first mindset and willingness to use AI tools for optimization and automation
Strong communication and stakeholder management skills

Nice to Have

Experience with programmatic advertising (DSPs, SSPs, ad exchanges)
Basic understanding of APIs, webhooks, or data pipelines
Experience building or improving internal tools or automation workflows
Exposure to product management or interest in moving toward a product role
Experience in regulated industries (healthcare, pharma, etc.)

Why this role

This role is perfect for marketers who want to go beyond campaign management and influence how marketing systems and products are built.

You will have the opportunity to work on complex adtech challenges, collaborate with technical teams, and grow toward a Product-oriented or Product Manager role 

We are seeking a Senior Product Manager to lead our ad network and channel integration strategy. This role is critical to our platform's expansion and optimization, working directly with company leadership to drive product roadmap decisions while managing a specialized technical team responsible for building and maintaining integrations with major advertising platforms.

Key Responsibilities

• Collect and translate business requirements from company ownership into actionable product specifications
• Define and execute product strategy for ad network integrations and channel expansion
• Drive cross-functional collaboration between engineering, data science, and business development teams
• Lead and mentor a specialized integration team of engineers and QA professionals
• Set team priorities, manage sprint planning, and ensure delivery excellence
• Foster a culture of innovation and technical excellence within the integration team

Product Development Priorities

Primary Focus:

• Automate existing channel integrations to enable seamless two-way data synchronization
• Optimize current integrations for improved data accuracy and real-time reporting capabilities
• Streamline integration processes to reduce manual intervention and improve scalability

Secondary Focus:

• Identify and prioritize new high-value advertising channels for integration
• Lead technical evaluation and implementation of new platform partnerships
• Expand market reach through strategic channel additions

Technical Oversight

• Define technical requirements and API specifications for channel integrations
• Create comprehensive product documentation and visual schematics for integration architectures
• Ensure data integrity and compliance standards across all integrated platforms
• Drive automation initiatives to improve operational efficiency and reduce time-to-market for new integrations

Required Qualifications

• 5+ years of product management experience in adtech, programmatic advertising, or related fields
• Deep, hands-on understanding of major advertising networks including:
• Paid social media platforms (Facebook, LinkedIn, Twitter, TikTok, etc.)
• API integrations and data synchronization protocols
• Experience with marketing automation platforms and attribution modeling
• AI-first mentality, strong interest in the emerging technologies, willingness to learn, adapt, and use AI tools to build portotypes, monitoring tools, and otherwise use them to aid both your and the teams' goals.
• Proven track record managing technical teams and complex integration projects
• Strong analytical skills with experience in data-driven product decisions
• Understanding of advertising technology ecosystem and data flow
• Experience with API integrations, webhooks, and real-time data processing
• Familiarity with advertising platform APIs and their capabilities/limitations
• Knowledge of data privacy regulations and compliance requirements
• Excellent stakeholder management and communication skills
• Experience translating business requirements into technical specifications
• Strong project management skills with ability to manage multiple concurrent initiatives
• Collaborative leadership style with proven ability to influence cross-functional teams

Nice to Have:

• Deep understanding of programmatic advertising channels (DSPs, SSPs, ad exchanges)
• Experience in pharmaceutical, healthcare, or highly regulated industry marketing
• Understanding of healthcare professional targeting and compliance considerations
• Familiarity with NPI data and healthcare professional identification systems
• Background in automation technologies and AI agent development/implementation
• Experience building or managing intelligent automation workflows and AI-driven processes

Job Description

• Take full responsibility and ownership of products from inception to production
• Own the product life cycle from conducting market, data, BI and user research to defining wireframes and KPIs to overseeing the development process
• Create and maintain relationships with Product Managers and teams across Wix
• Work closely with top-notch professionals in a huge range of disciplines across Wix to take your product to market
• Talk to users and members of our Customer Care workforce, analyze user data, and conduct usability tests to continually improve the product

• Play a key role in building the roadmap

   

Requirements

• 3+ years of experience building consumer web or mobile products, working in collaboration with other PMs across multiple teams
• Great visual aptitude and analytical skills
• You’re fluent in defining workflows, sketching wireframes, and analyzing user needs, intents and business cases
• You have excellent teamwork and communication skills and are able to explain ideas in a clear and concise way
• You’re not intimidated by tough challenges — producing high-quality solutions is important to you
• You’re an independent learner with the ability to lead a project from A to Z
• Experience in R&D, UX or Content Management as a developer, designer, writer or manager would be an advantage
• Experience building AI products would also be an advantage

We are looking for a Marketing / Commercial Data Scientist to build the intelligence layer of our Session Analyzer product — including scoring systems, segmentation, recommendation models, and causal measurement frameworks for pharmaceutical marketing teams.

This role sits at the intersection of behavioral data, machine learning, and marketing analytics. You will work end-to-end: from raw event data → feature engineering → modeling → production pipelines → business insights.
 

You’ll collaborate closely with Product and Tech Leads to turn complex behavioral signals into actionable commercial intelligence.

🛠 Requirements

• 5+ years in Data Science / Analytics
• Experience building production ML systems
• Strong ownership of end-to-end data science workflows
   

Technical Skills

• Python, SQL, PostgreSQL
• GCP / BigQuery /ClickHouse
• Data pipelines & feature engineering
• Experience with LLM-based agents / AI workflows
• Event-level / session analytics
• Aggregation modeling
• Propensity / engagement modeling
• Segmentation
• Recommendation systems
• Model evaluation & monitoring
• Experience in AdTech / MarTech / Marketing Analytics
• Marketing attribution & measurement
• Behavioral / clickstream / pixel data
   

🧠 What You’ll Work On

🔹 Behavioral & Scoring Models

• Build propensity and engagement models (e.g., prescribing likelihood, rep response, content affinity)
• Develop switch / churn-style models and brand adoption predictions
• Design segmentation frameworks based on behavioral and profile data
   

🔹 Recommendation & Personalization

• Build recommendation systems using session and event-level data
• Model multi-channel engagement and content affinity
   

🔹 Causal Inference & Attribution

• Design and implement marketing attribution models
• Apply causal inference techniques (uplift modeling, incrementality testing, treatment/control analysis)
• Connect marketing exposure → downstream outcomes
   

🔹 Data & Feature Engineering

• Build feature pipelines from event/session data (clicks, scroll depth, dwell time, downloads, video plays)
• Create aggregated feature tables and scoring datasets
• Work with high-volume data systems (e.g., ClickHouse, BigQuery)
   

🔹 Production & Data Quality

• Deploy and maintain production ML pipelines
• Implement data validation, monitoring, anomaly detection, and drift tracking
   

🔹 AI & Insight Automation

• Build LLM-powered workflows for:
  • Automated insight generation
  • Data diagnostics
  • Structured analytical outputs (e.g., JSON)
     

🎯 What Success Looks Like

• You build reliable scoring systems used in production
• Your models drive measurable marketing impact
• You translate behavioral data into clear, actionable insights
• You help evolve the system toward real-time intelligence & automation
   

🧪 Interview Process

• Screening Interview
• Technical Interview
• Bar Raiser

Job Description

5+ years as DevOps Engineer in Linux environment

5+ years of Python development

Deep knowledge of networking and security

Hands-on experience with Linux, Containers, Kubernetes and AWS

Strong skills in Shell scripting and CI/CD pipelines

Excellent problem-solving and communication skills

Lead activities using Agile/Scrum methodologies

Job Responsibilities

Maintain and improve CI/CD pipelines

Administer on-prem Linux (Debian-based) servers

Manage AWS infrastructure

Lead Kubernetes (K8s) operations

Build internal DevOps tools (Python, Shell)

Troubleshoot systems, monitor performance, and identify bottlenecks

Collaborate with Automation and R&D teams as support tier

Participate in the DevOps on-call routine

Mentor and promote DevOps best practices and team members

Department/Project Description

Our customer is a leading provider of innovative broadband solutions that deliver video, voice and data to communications providers around the world. GL team participates in development, QA and support of several generations of these solutions.

DevOps team:
• Develops and maintains a tool set and a framework for building customer product. These include a
variety of Linux systems, including Embedded Systems, Data Center Servers and Containerized
solutions. This framework builds Debian packages and Docker images, and assembes a deliverable
product.
• Maintains on-premise Debian servers, Cloud and VMs for running this framework. The build system
consists of an array of Python, Perl and Bash modules, and uses REST API servers and clients, and
some Jenkins automation.

 Required Experience/Qualifications 

• 3+ years of production experience with Go 

• Deep understanding of REST API design, batch processing, and websocket-based real-time data 

• Strong experience with MariaDB/MySQL, including query optimization and data modeling 

• Familiarity with GORM ORM 

• Experience with RabbitMQ as an event broker • Ability to read and understand PHP code (used for legacy migration) 

Nice to have: 

• Performance tuning for high-load systems (10K+ RPS) 

• Experience integrating or using Centrifugo (subscriptions, pub-sub messaging) 

• Familiarity with profiling tools and scalable Go architectures • Experience with PHP-to-Go migrations is a big plus 

Responsibilities 

• Develop and maintain core backend services (REST APIs, batch jobs, WebSocket services) 

• Ensure the system scales and performs reliably under high load 

• Optimize database interactions and handle complex relational data models 

• Assist in refactoring and migrating business logic from PHP 

• Collaborate with DevOps and frontend teams to deliver robust functionality 

Company Offers 

• Fully remote work setup 

• Competitive compensation 

• 8-hour working day 

• 20 days paid vacation + 8 days paid sick leave 

• Medical insurance 

• Friendly, professional team and long-term project 

Johnson Controls is a global leader in smart, sustainable building solutions, security, and fire protection. With over 140 years of innovation, we develop cutting-edge technologies that enhance efficiency, safety, and comfort in buildings worldwide. Our mission is to create a smarter, healthier, and more sustainable future through intelligent automation and advanced energy solutions.

About Johnson Controls

Johnson Controls is a global leader in smart, sustainable building solutions, security, and fire protection. With over 140 years of innovation, we develop cutting-edge technologies that enhance efficiency, safety, and comfort in buildings worldwide. Our mission is to create a smarter, healthier, and more sustainable future through intelligent automation and advanced energy solutions.

Required Experience/Qualifications 

• 3+ years of experience with JavaScript frontend development 

• Strong knowledge of React and Redux • Hands-on experience with Material UI (MUI v5) and Material Design 3 

• Experience with RESTful APIs and WebSocket-based interactions 

• Familiarity with external charting libraries (e.g., Chart.js, Recharts, etc.) • Good understanding of UI/UX principles and component-based architecture 

• Willingness to work with legacy code during a migration period 

Nice to have: 

• Initiative in introducing testing best practices (e.g., unit/integration tests) 

• Experience with performance tuning and accessibility 

• Familiarity with UI/UX best practices 

• Willingness to learn backend technologies (Go, Gin, Centrifuge) Responsibilities 

• Participate in the migration from Material Design 2 to Material Design 3 • Refactor and improve existing UI components and architecture 

• Implement new UI features and optimize existing ones 

• Collaborate with backend developers to integrate APIs and real-time data 

• Gradually phase out legacy UI while building the new frontend from the ground up 

• Participate in design discussions and propose improvements 

Company Offers 

• Fully remote work setup 

• Competitive compensation 

• 8-hour working day 

• 20 days paid vacation + 8 days paid sick leave 

• Medical insurance 

• Friendly, professional team and long-term project 

About the Project: Johnson Controls is an international developer and manufacturer of high quality electronic security systems and components, operating in Ukraine via its subcontractor in Kyiv. You will join during a critical UI modernization phase, contributing directly to the new user experience aligned with modern design standards.

Required skills experience

JavaScript

About Johnson Controls

Johnson Controls is a global leader in smart, sustainable building solutions, security, and fire protection. With over 140 years of innovation, we develop cutting-edge technologies that enhance efficiency, safety, and comfort in buildings worldwide. Our mission is to create a smarter, healthier, and more sustainable future through intelligent automation and advanced energy solutions.

Our partner is a digital marketing and web development agency that works with B2B SaaS companies operating in cloud management, programming, cybersecurity, and related tech fields. They are looking for a data-driven and detail-oriented Performance Marketing Manager to join our team immediately. If you’re passionate about achieving measurable results through digital campaigns, we want to hear from you.

Position Overview
We’re seeking a middle/senior-level specialist with fluent English proficiency and a passion for performance marketing. You will manage, optimize, and scale paid advertising campaigns across Google Ads, LinkedIn Ads, Reddit Ads, and other digital platforms while using analytics to maximize clients’ ROI.

Main Responsibilities

You will be responsible for planning, executing, and optimizing performance marketing campaigns for our clients. Key responsibilities include:

– Campaign Management: Plan, execute, and optimize paid marketing campaigns for SaaS clients across platforms like Google Ads, LinkedIn Ads, Reddit Ads, and others
– Data Analysis & Optimization: Analyze campaign and website performance data (CTR, CPC, ROAS, conversions) to identify trends and opportunities for improvement
– A/B Testing: Recommend and implement A/B tests on ad creatives, landing pages, and audience segments to enhance performance
– Cross-functional Collaboration: Work closely with internal and client-side designers and developers to deliver new ad creatives, landing pages, and assets to support promotional campaigns
– Audience Strategy: Conduct audience research, targeting, and segmentation to ensure budget is invested for maximum impact
– Industry Expertise: Stay up-to-date on industry trends, best practices, and platform changes (e.g., search & social ad algorithms)
– Reporting & Processes: Produce reports, docs, and templates to ensure smooth and repeatable paid campaign workflows.

Mandatory Requirements

What’s Required:

– Native-level proficiency in English (written and spoken)
– Proven experience managing and optimizing paid advertising campaigns on Google Ads, LinkedIn Ads, and Reddit Ads
– Strong analytical skills and exceptional attention to detail
– A no-ego approach and the ability to handle constructive criticism well
– Ability to be proactive and work effectively in a fast-paced and collaborative team
– Ability to work remotely and be responsible for the results of your work.

What’s Preferred (will be a plus):

– Experience with Meta Ads
– Experience working with US-based SaaS companies that create products for developers and engineers.

We offer

– A well-paid position with the opportunity to grow
– Exciting tech-oriented projects to work on
– A supportive and friendly team