Jobs at Djinni

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

About the Role

We’re looking for a Sr. Motion Designer who is obsessed with the new wave of AI video tools and how they can be make beautifully engaging, social-first ad content.

Key Tasks:

• Creating motion ads for Meta, Google, TikTok and other platforms
• Producing short animated motion videos, searching for video footages on stock platforms, selecting music and sound effects, generating AI videos/graphics/voiceovers, and localizing finished videos.
• Conduct competitor research, track emerging media trends and how they might apply to the app
• Generating ideas alongside the marketing team to improve the visual communication of messages in ads
• Searching and testing new AI tools and plugins to optimize and speed up the workflow for creating advertising assets.
• Setting the quality bar for the team, developing the skills of others MDs in the team, and onboarding new team members
• Delivering high-quality motion videos that aligns with brand and marketing objectives

Skills and experience?

Must have:

• 3+ years of experience in motion design with a strong portfolio showcasing animation skills and editing techniques
• Expertise in After Effects, Premiere Pro, Adobe Photoshop, Media Encoder, Figma
• Proficiency with tools such as Midjourney, Google Flow (or similar VEO3-based engines), ElevenLabs, Heygen, Creatify, and ChatGPT
• Strong understanding of animation principles and visual effects, ability to work without visual references is a must
• Creative, out-of-the-box thinking
• Strong eye for detail, with an understanding of brand guidelines and the ability to maintain consistency across motion graphics
• Understanding of performance marketing concepts and min metrics (e.g. CTR, CPI, Hook Rate, Hold Rate)
• Ability to manage multiple projects and meet deadlines in a fast-paced environment
• English B2+ level

Bonus experience

• Advanced prompting skills
• Ability to automate processes
• Expertise in working with 3D (Cinema 4D, Blender)

What do we offer?

• Opportunity to work with world-class apps that rank among the top in their categories on the App Store and Google Play and App Store Awards Winners
• Extensive pool of available stock and AI resources to help you create top-quality videos and regularly test new tools
• Minimal bureaucracy, streamlined people management, and no unnecessary meetings
• Ability to implement your ideas and influence the product
• Our trust and support in your ideas and strategies
• Both part-time and full-time availability are considered
• Fully remote work
• A wide range of projects, including mobile apps in categories such as Meditation, Health & Fitness, Education, Entertainment, and Fintech

• Join an international team of professionals and collaborate with UA and ASO experts from leading apps in the industry, who will help you grow professionally.

  
  Hiring process:

  ⭕️ Screening Interview → ⭕️ Tech Interview → ⭕️ Test task → ⭕️ Reference check

About Us

NDA is a digital boutique agency focused on B2B, e-commerce, and digital startup clients in the DACH market. We build demand generation and performance systems — not one-off campaigns. The team is lean, remote, and operates without account managers or bureaucracy: direct client relationships, fast decisions, real ownership.

We are in an active growth stage and expanding delivery capacity to match a growing client portfolio.

The Role

We're looking for a Performance Marketer (Paid Ads) who will own paid channels end-to-end — from campaign architecture to results analysis — and help set the standard for how performance marketing is done at the agency.

This is not an execution role. It's a position for someone who thinks in business outcomes, works autonomously, and can explain both wins and failures in plain language. You will work directly with the founder, manage real client accounts, and have full autonomy over hypotheses, testing, and reporting from day one.

What You'll Do

• Plan, launch, and manage paid campaigns across Google Ads, Meta, LinkedIn, TikTok, and YouTube
• Build funnel logic from the first click to a qualified lead
• Analyse performance, develop hypotheses, and test them independently
• Prepare reports in GA4 and Looker Studio — with numbers, insights, and actionable conclusions
• Communicate with the Delivery Lead on status updates, priorities, and flags

What We Expect

• You think in business results, not just campaign metrics
• You build approaches, not just execute tasks
• You work without micromanagement and take ownership of outcomes
• You can explain performance and campaign failures to a client without jargon

Requirements

Must Have:

• 2+ years running paid campaigns independently — Google Ads and Meta, both channels, from structure to result (not "familiar with")
• Full funnel understanding: traffic landing page conversion CPL ROAS
• GA4 + GTM at a solid mid+ level: data layer, custom events and dimensions, attribution models, GTM Preview, remarketing audiences
• English B2+ — able to explain results and failures in plain language

Nice to Have:

• LinkedIn Ads as a primary channel
• TikTok Ads and YouTube Ads experience
• Experience with EU markets (DE / AT / CH), GDPR awareness, local decision-making culture
• B2B lead gen background — long sales cycles, quality over quantity
• Agency experience; ability to manage multiple clients across verticals in parallel
• Looker Studio — basic dashboard setup

This Role Is Not for You If:

• Your CV has no cases covering both Google Ads and Meta
• You can't explain why a specific campaign failed
• You're only open to a salaried position with full benefits from day one
• You prefer structured task lists over autonomous, hypothesis-driven work

Engagement & Conditions

• Format: Freelance / contract to start
• Schedule: Fully remote, CET timezone, flexible hours
• Growth: Successful collaboration may lead to part-time or full-time engagement, including paid days off

Hiring Process

CV Review - Recruiter Screening - HM Tech / Case Interview - Reference Check - Offer

Phenomenon Studio is a full-cycle design and development company founded in 2019. We help startups and small to medium-sized businesses build and scale products across Healthcare, EdTech, SaaS, FinTech, and Web3 industries. Recognized with 30+ industry awards, we deliver high-quality solutions that combine creativity, technology, and business impact.

We are expanding our team and looking for a Project Manager to support new upcoming projects. You will lead delivery from brief to launch, ensuring alignment, clarity, and on-time execution across teams.

PMO Team: PM Lead, 7 PMs

Project Load: Up to 5 concurrent projects, typically 3–6 months in duration

Teams: In-house teams, usually around 5 people per project

Requirements:

• 3+ years of commercial Project Management experience working with design and development teams
• Understanding of web apps and mobile design and development processes
• Proven experience in successful project delivery, meeting scope, budget, timeline, and quality expectations
• Strong knowledge of SDLC and project management methodologies
• Proven experience in preparing project documentation, including roadmaps, milestones, timelines, and project reports
• Effective communication skills when working with both technical and non-technical stakeholders
• Strong time management, leadership, and problem-solving skills
• Experience managing multiple projects simultaneously
• Advanced English, both spoken and written (B2+ minimum)

Nice to have:

• Proactive communicator who maintains engagement and clarity through regular check-ins
• Emotionally intelligent, knowing when to push forward and when to listen
• Open and approachable, easy to talk to, and welcoming questions and feedback
• Calm under pressure, helping clients and teams feel confident and safe
• Builds trust through friendliness rather than forced authority
• Fast thinker who translates ambiguity into a clear plan
• Demonstrates high ownership with a low-ego mindset, prioritizing results over visibility

Responsibilities:

• Lead projects (web and mobile apps design and development) from brief to launch
• Prepare project timelines and roadmaps to ensure successful delivery
• Collaborate with stakeholders to define scope, objectives, and deliverables for each project or iteration
• Monitor task completion, team workload, and project progress while proactively removing roadblocks
• Maintain clear and up-to-date project documentation
• Manage expectations both internally and externally
• Identify and resolve issues that arise during project execution
• Ensure team alignment around shared goals and priorities

What we offer:

• Remote work format and flexible schedule
• Autonomy in work, with opportunities to build processes and grow within the company
• Individual development plan and annual performance review
• Workshops and playgrounds for continuous learning
• Compensation for subject-matter training
• Corporate English classes
• Access to IT Loyalty Club
• Accounting support
• 18 working days of annual leave
• 7 working days of sick leave and 7 working days of unpaid leave
• All national public holidays off

Recruitment process: Recruitment interview — Technical interview — Offer

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

We are seeking a highly motivated and technically proficient QA Automation Engineer to join our dedicated testing team. You will play a crucial role in ensuring the successful and high-quality delivery of software products for our client, a prominent American multinational automaker.
This position offers a challenging and dynamic environment within a multicultural international team, demanding strong problem-solving skills and a proactive approach.

• Responsibilities:

  Design, develop, and execute robust automated test scenarios on a daily basis, utilizing Python as the primary scripting language.
  Framework Management: Actively contribute to a new and maintain the existing automation frameworks
  Ensure comprehensive test coverage by writing detailed test scenarios
  Engage in specialized testing of automotive systems, including validation of in-vehicle components
  Work closely with developers, business analysts, and product owners within the Scrum framework, actively participating in sprint planning and daily stand-ups.

• Mandatory Skills Description:

  Prior work or experience with embedded or automotive systems, especially in the context of multi-ECU scenarios.
  Experience developing, debugging, and maintaining Python code for automated testing.
  Thoroughly analyze logs, and quickly resolve issues within automated testing pipelines.
  Knowledge managing Python virtual environments and dependencies.
  Knowledge Git for version control and JFrog Artifactory for artifact management in a collaborative, automated test environment.
  Ability to read and follow technical documentation in English.
  Strong communication skills for collaboration with developers, testers.

• Nice-to-Have Skills Description:

  Experience with test automation for automotive multimedia, connectivity, and driver-assistance features.
  Hands-on expertise with modern test automation frameworks, especially those supporting Behavior-Driven Development (BDD) and keyword-driven testing.
  Skilled in translating requirements and Gherkin scenarios into robust, executable automation logic.
  Ability to analyze, optimize, and troubleshoot both hand-written and AI-generated Python test scripts for reliability and maintainability.
  Hands on experience with testing of ADAS features such as Camera, Parking Assist, and Driving Assistance modules.
  Exposure to automotive communication protocols (e.g., CAN, LIN, Ethernet).

Location: Remote (Egypt,Kanada,Romania,Argentina)

About Us: We are an international digital agency operating since 2021. We are currently scaling our infrastructure globally and looking for an experienced Supply Chain Manager to build a stable supply system of physical SIM cards for our Google Ads department.

Key Responsibilities:

• Vendor Sourcing: Finding and establishing connections with major mobile dealers, wholesalers, and local partners across target regions.
• Bulk Procurement: Organizing regular purchases of large batches of SIM cards from various mobile operators on the most favorable terms.
• Compliance & Negotiation: Negotiating prices and navigating local limitations on mass registration/activation of cards.
• Logistics Management: Controlling the delivery chain: from the vendor's warehouse to our specialists in various locations.
• Quality Assurance: Pre-checking batches for "purity" (ensuring no prior registrations in Google/SMS services).
• Inventory Tracking: Keeping records of stock levels, monitoring SIM card lifespans, and planning future deliveries.

Requirements:

• Language Skills: Fluent Ukrainian and the local language of the operational region (Native/C2) — essential for negotiations with local businesses.
• Background: 1+ years of experience in procurement, logistics, or telecommunications within the relevant market.
• Networking: Strong skills in finding informal supply channels and negotiating special terms.
• Proactive Attitude: Ability to independently solve logistics issues and handle replacements for defective goods.
• Tech Savvy: Basic understanding of why SIM cards are needed for Google Ads (we will provide specific training).

What We Offer:

• Competitive Salary: Paid in USDT.
• Unlimited Budgets: We are ready to purchase as much high-quality material as you can source.
• Independence: Full freedom in choosing vendors and work methods.
• Growth: Opportunity to lead the infrastructure department in a specific global region.

About the role You will build real-world AI applications for enterprise clients—from the initial concept straight through to production. As a Middle JavaScript Engineer at Upstaff, you’ll design, implement, and deploy high-quality solutions that solve genuine problems for real users. You’ll skip the heavy bureaucracy, work directly with clients and the product team, ship code to production within days, and collaborate with a team that values accountability and a thoughtful approach.

Responsibilities

• Develop and deploy full-fledged AI applications based on our core enterprise platform.
• Collaborate closely with clients and internal teams to customize and adapt AI solutions.
• Expand the platform's capabilities and enhance the UI/UX layers to meet modern standards.
• Integrate third-party APIs and internal tools to ensure seamless and secure data flow.

Requirements

• 3+ years of commercial experience in Full Stack development using JavaScript/TypeScript.
• Strong proficiency in building user interfaces with modern frameworks (React, Vue, etc.) and backend logic (Node.js).
• Solid understanding of web application architecture and complex integrations.
• English level of B2 or higher for direct, effective communication with global clients.

Will be a plus

• Prior experience working with LLMs or integrating AI services (OpenAI API, Claude, etc.).
• Experience in Enterprise or B2B software environments.
• Familiarity with Python or cloud platforms (AWS/GCP/Azure).