As a Senior Unity Developer, you will play a crucial role in designing, developing, and optimizing one of the core games in our portfolio. You will work closely with our art and technical team to ensure high-quality gameplay experiences.

Key Responsibilities:

• Own the full development responsibility for a game, from early prototyping up to full live phase.
• Implement best-in-class AI practices inside the game to be fully empowered and efficient.
• Design, develop, and maintain game systems and features using Unity & C#.
• Collaborate with cross-functional teams to define, design, and ship new game features.
• Optimize game performance and ensure smooth gameplay across various platforms.
• Troubleshoot and debug issues in a timely manner.
• Stay updated on industry trends and technologies to continuously improve development processes.

Qualifications:

• 5+ years of experience in game development with a strong focus on Unity.
• Proficiency in C# and understanding of object-oriented programming principles.
• Strong understanding of Unity’s architecture, components, and asset pipeline.
• Experience with ad integration and monetization strategies in Unity applications/games.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and ability to work collaboratively in a team environment.

We are looking for a Senior MLOps Engineer to add to our Data team in Barcelona.

Join the User Acquisition MLOps team that builds the core ML backbone of Appodeal. We design and run the systems that power real-time predictions at massive scale, where every millisecond matters. Our work directly drives thousands of bidding operations each second, supporting a high‑throughput, low‑latency inference platform used across the company.

You will help shape and evolve a modern ML platform built around Databricks, MLflow, Unity Catalog, GitHub Actions, and deep integrations with our Predictor service. This means solving real engineering challenges: scaling training pipelines, optimizing GPU workloads, ensuring safe and automated model promotions, and keeping online inference reliable under extreme load.

You will collaborate daily with Data Science, Data Engineering, Runtime, DevOps, and Product, and you will fully own the systems and projects you touch. This is a role for engineers who like autonomy, impact, and building things that matter.

Responsibilities:

• Design, operate, and improve the ML platform, including Databricks workflows for training, MLflow and Unity Catalog for model management, CI/CD pipelines using GitHub Actions and Databricks Asset Bundles, and integration with the runtime inference layer.
• Support data scientists in developing and maintaining end-to-end training pipelines, covering data processing, feature transformations, ML model training on GPUs, and distributed training setups to ensure efficient and scalable workflows.
• Ensure reliable and safe model inference by validating models before promotion, checking metadata compatibility, monitoring latency, and supporting model evaluation flows.
• Maintain strong ML observability, including online and offline monitoring, data and feature parity checks, and automated validation of model performance in production.
• Develop internal tools and APIs that enable DS teams and account managers to experiment, validate, and promote models efficiently while reducing operational friction.

Requirements:

• 3+ years of experience in MLOps, ML Platform Engineering, or Backend roles supporting production ML systems.
• Strong Python and software engineering skills, with experience building and maintaining APIs (FastAPI, Flask, or similar).
• Hands-on experience with DNNs using PyTorch or other modern deep learning frameworks, including GPU training and optimizing hardware utilization.
• Solid understanding of distributed computing and data processing using Apache Spark or similar frameworks.
• Experience with Databricks (Jobs, MLflow, Delta, UC) or an equivalent cloud-based ML platform.
• Strong understanding of the ML lifecycle: data ingestion, experimentation, model packaging, deployment, and monitoring.
• Familiarity with real-time model inference systems and ensuring compatibility with downstream services.
• Experience with data validation libraries (Pydantic or similar) used within ML and API workflows.
• Good understanding of Docker containers, Kubernetes, and basic networking concepts.
• Experience creating and maintaining CI/CD pipelines (GitHub Actions or similar).
• Experience with orchestration tools (Databricks Jobs, Dagster, Airflow or similar).
• Demonstrated ability to use modern AI tools (Claude, ChatGPT, Gemini) to improve development speed and quality.
• Proactive mindset with a strong sense of ownership, consistently pushing work forward and anticipating next steps without needing close direction.
• Strong English communication skills.

Nice to have:

• Exposure to very high-load, low-latency ML inference environments.
• Knowledge of distributed or large-scale ML training frameworks and multi-GPU setups.
• Familiarity with Databricks Asset Bundles.
• Understanding of ONNX or other portable model serialization formats.
• Ability to work with Rust programming language.
• Familiarity with transformer architectures, encoder-decoder models, or sequence modeling approaches.
• Exposure to data engineering concepts, such as building scalable data pipelines, understanding CDC patterns, or working with structured and unstructured datasets.
• Experience with MinIO or other S3-compatible storage systems.
• Understanding of networking protocols such as TCP, HTTP, and gRPC, including their limitations in low-latency scenarios.
• Confidence navigating the Atlassian ecosystem (Jira, Confluence, Compass).

This position supposes relocation to Barcelona and work from our office in the city center.

Why Join Us:

• Opportunity to work on cutting-edge projects with a global impact in the mobile app industry.
• A collaborative and inclusive work culture that values innovation and continuous learning.
• Competitive salary, flexible work arrangements, and a comprehensive benefits package.
• Professional development opportunities and career growth prospects within a fast-growing company.

About Appodeal

Appodeal is a dynamic US-based product company with a truly global presence.

We have offices in Warsaw, Barcelona, and Parkland (FL), along with remote team members located around the world.

Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space.

Why Appodeal?

At Appodeal, we’re more than just a company—we’re a team united by a common mission:
Help people discover and grow their talents through products that enable successful mobile app businesses.

We take pride in our cutting-edge product and our internationally distributed team of talented professionals.

Here’s what we value:

• Continuous Learning and Growth – We invest in development and long-term careers
• Making an Impact – We are building a history-defining company in the mobile industry
• Solving Exciting Challenges – Complex, large-scale problems are part of our daily work
• Enjoying the Journey – We believe great results come with a positive environment

About the Role

We are looking for a Senior Rust Engineer to join our Barcelona team and contribute to building high-performance, real-time systems powering our ML-driven AdTech platform (Mobile Growth Platform).

In this role, you will work on core backend infrastructure and ML platform components, focusing on low-latency, high-load services that process large-scale traffic in real time.

You will play a key role in developing and optimizing systems such as real-time applications, feature stores, user identity services, and custom inference layers, ensuring scalability, reliability, and performance.

Responsibilities

• Contribute to the development of real-time applications and ML platform components
• Build and maintain high-load, low-latency backend services
• Work on in-house solutions including:
  • Feature stores
  • User identity services
  • Custom inference layer
  • ML platform infrastructure
• Optimize system performance across on-premise Docker & Kubernetes environments
• Design and implement solutions for traffic scaling and system reliability
• Collaborate with ML, data, and engineering teams to support production ML systems
• Continuously improve system architecture, observability, and efficiency

Tech Stack

• Languages: Rust, Python
• Data & Streaming: Kafka, SQL, Redis, ScyllaDB, Delta Lake, Databricks
• Infrastructure: Docker, Kubernetes (on-premise)
• Tools: GitHub

Requirements

• 5+ years of experience in software engineering
• Strong proficiency in Rust
  or
  proficiency in C/C++/Zig with willingness to transition to Rust
• Experience designing and building high-load, performance-critical systems
• Solid understanding of system design, concurrency, and performance optimization
• Basic knowledge of machine learning workflows and tools

Nice to Have

• System programming experience (C, C++, Zig)
• Experience in ML engineering / MLOps
• Strong Python skills
• Familiarity with AdTech standards (OpenRTB, MRAID, VAST)
• Experience with WASM / WASI
• Background in distributed systems and real-time processing
• Location: Barcelona, Spain (office attendance 4 days per week)

What We’re Looking For

• Autonomous and self-driven engineer with strong ownership mindset
• Passion for engineering excellence, performance, and scalability
• Interest in ML/AI systems and infrastructure
• Ability to work independently and make informed decisions
• Strong collaboration and communication skills

Why Join Us:

• Opportunity to work on cutting-edge projects with a global impact in the mobile app industry.
• A collaborative and inclusive work culture that values innovation and continuous learning.
• Competitive salary, flexible work arrangements, and a comprehensive benefits package.
• Professional development opportunities and career growth prospects within a fast-growing company.

We appreciate teamwork, critical thinking, independent decision-making, and standing up for oneʼs viewpoint.
We are looking for talented engineers who are willing to grow, improve and share our values!

We are now expanding our data capabilities and seeking an experienced Head / Director of Data Science to lead and scale our Data Science UA team function in Barcelona.

This role is ideal for a leader with a strong technical background, excellent people-management skills, and the ability to turn data into actionable, high-impact product and business outcomes.

Role Overview:

The Head / Director of Data Science will be responsible for building and growing our Data Science organization, driving advanced analytics and ML initiatives, and ensuring our products and business units are empowered by high-quality insights and predictive capabilities.

You will work closely with Product, Engineering, Revenue, and Leadership teams to translate business needs into DS/ML solutions, strengthen our data infrastructure, and support decision-making across the ecosystem.

This is a strategic and hands-on leadership role with significant influence on product evolution, optimization algorithms, and operational excellence.

Key Responsibilities:

Leadership & Strategy

• Lead and scale the Data Science function across the organization.
• Translate business and product goals into clear DS/ML initiatives and execution plans.
• Build and promote a strong data-driven culture across all teams.
• Applied Data Science & ML.
• Oversee development, deployment, and monitoring of ML models across Appodeal’s product and monetization ecosystem.
• Guide experimentation, modeling, uplift measurement, and algorithmic optimization.
• Ensure model quality, reliability, fairness, and performance at scale.
• Collaboration & Stakeholder Management.
• Partner with Product and Engineering teams to integrate Data Science into product roadmaps.
• Work with business units to identify opportunities, define DS/ML requirements, and deliver impactful insights.
• Communicate DS outcomes, metrics, and recommendations to leadership.

Team Leadership

• Lead, mentor, and develop a multidisciplinary team of Data Scientists, Analysts, and ML/AI specialists.
• Foster knowledge sharing, best practices, experimentation, and continuous improvement.
• Drive hiring, talent development, and team structure optimization.

Data Infrastructure & Governance

• Collaborate with Data Engineering and MLOps teams to ensure robust pipelines, feature stores, and model deployment workflows.
• Improve data quality, observability, and governance standards.

Qualifications:

Education

Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Math, or a related field (PhD is a plus).

Experience

• 5+ years of experience in Data Science, Machine Learning, or Applied Analytics.
• 3+ years in a DS leadership role (Lead DS, Head of DS, Director of DS, or similar).
• Demonstrated experience building and leading Data Science teams.
• Proven track record of delivering DS/ML solutions with real business impact.

Technical Skills

• Strong understanding of ML algorithms, experimentation, predictive modeling, and statistical analysis.
• Hands-on experience with Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn), and analytics tooling.
• Solid understanding of data pipelines, big data technologies, and collaboration with Data Engineering teams.
• Experience with AdTech, attribution, auction mechanics, or optimization algorithms is a strong plus.

Leadership & Soft Skills

• Excellent stakeholder management and communication skills.
• Ability to translate technical concepts into business language.
• Strong decision-making and prioritization abilities.
• Passion for mentoring, coaching, and building high-performing teams.

What We Offer:

• Opportunity to build and lead the Data Science function of a global product company.
• Direct influence on product roadmap and business outcomes.
• Collaborative and international team environment.
• Competitive compensation package and growth opportunities.
• A chance to shape the future of mobile app monetization.

About Appodeal Accelerator

Appodeal Accelerator is a fast-growing division of Appodeal, focused on helping mobile game developers launch and scale games with strong market potential.
We’re not a service — we’re a strategic product partner. We provide UA, monetization, funding, analytics, and creative support tailored to each game's unique needs.
We work across genres (not just hyper-casual) and are building a lean, high-impact publishing team in Europe — where product quality, game feel, and creative thinking come first.

Role Overview

We are looking for a Senior Business Development Consultant (Part-Time) to support and elevate our developer acquisition strategy.

In this role, you will act as a strategic advisor and hands-on contributor, helping to refine our BD approach, strengthen deal flow quality, and guide key partnership decisions. Rather than owning day-to-day execution, you will focus on high-impact activities — shaping sourcing strategy, supporting evaluation of top opportunities, and advising on complex partnerships.

This is a flexible, high-leverage role with direct exposure to leadership and influence over which studios and games move forward within the Accelerator.

Scope of Engagement

Strategic BD Advisory

• Advise on sourcing strategy: target regions, genres, and studio profiles.
• Help refine and improve developer acquisition channels and partnerships.
• Contribute to building scalable and efficient BD frameworks.

Deal Flow & Opportunity Evaluation

• Review selected high-priority opportunities and provide expert assessment.
• Support evaluation of product potential, market fit, and commercial viability.
• Provide structured recommendations on which projects to advance.

Funnel & Process Optimization

• Audit and suggest improvements to the BD pipeline and qualification frameworks.
• Help identify bottlenecks and opportunities to improve conversion rates.
• Recommend best practices for lead scoring, prioritization, and tracking.

Partnership Strategy & Negotiation Support

• Advise on partnership structures, deal terms, and negotiation approaches.
• Support complex or high-value deals where strategic input is required.
• Provide guidance on aligning expectations with external studios.

Market Intelligence & Insights

• Share insights on market trends, emerging genres, and developer ecosystems.
• Contribute to shaping Accelerator sourcing priorities and greenlight criteria.
• Recommend improvements to testing frameworks and product filters.

Ways of Working

• Part-time, flexible engagement (advisory + selective hands-on involvement).
• Focus on impact over volume — prioritizing high-value opportunities and decisions.
• Close collaboration with leadership, Publishing, UA, and Product teams.
• Participation in key syncs (e.g., pipeline reviews, strategic discussions) as needed.

Who You Are

• 5+ years of experience in mobile gaming (publishing, BD, UA, product, or partnerships).
• Strong industry network and ability to identify high-potential studios.
• Deep understanding of game performance drivers (retention, LTV, CPI, monetization).
• Strategic mindset with experience building or advising on BD functions.
• Comfortable operating as an advisor: independent, structured, and outcome-focused.
• Strong communicator, able to influence founders and senior stakeholders.

We are seeking an independent board director with deep experience in the modern mobile gaming industry, particularly in areas such as data-driven game development, performance marketing, user acquisition, and monetization.

This individual should bring operator-level experience from high-performance gaming companies built around rapid experimentation, strong data science, and scalable useracquisition.

This is a non-executive board position, not an operating role.

The company operates several businesses, including:

• advertising infrastructure;
• machine-learning driven demand-side platform (DSP);
• supply-side platform (SSP);
• mobile game publishing and development.

Mobile gaming represents a significant part of the company’s business, contributing approximately 30% of revenue.

Appodeal’s gaming business is closely connected to its performance advertising infrastructure, relying heavily on user acquisition, monetization optimization, and data science.

Strategic Focus of the Role

The mission of this role is to strengthen the board’s understanding of modern mobile gaming business models, particularly companies that scale through:

• performance marketing;
• strong data science and analytics;
• rapid product experimentation;
• scalable monetization systems.

The director will contribute a perspective on:

• game portfolio strategy;
• scaling successful games through performance marketing;
• studio structure and incentives;
• monetization models (ads, IAP, hybrid);
• user acquisition economics and growth systems;
• emerging trends in mobile gaming.

We are particularly interested in candidates who have built or scaled modern performance-driven gaming businesses.

Responsibilities

Board members are expected to:

• Participate in quarterly board meetings;
• Provide independent strategic advice to the CEO and leadership team;
• Contribute to discussions around gaming product strategy and market trends;
• Help evaluate game portfolio decisions and investments;
• Provide perspective on studio scaling and growth strategies;
• Share relevant industry relationships and insight;
• Board members are not involved in day-to-day operations.

Ideal Background
We are looking for a senior operator from the modern mobile gaming ecosystem, particularly companies that excel in performance marketing, data-driven product development, and rapid experimentation.

What We Value

We are looking for individuals who bring:

• deep mobile gaming expertise;
• strong industry credibility;
• a well-developed network in the gaming ecosystem;
• high strategic judgment;
• an independent mindset;
• willingness to challenge assumptions constructively.

Time Commitment

• Estimated commitment: approximately four weeks per year.
  This includes preparation and participation in board meetings as well as occasional strategic discussions with the leadership team.

About the Role

We’re looking for a Senior User Acquisition Manager (Google Ads and Meta Ads) to drive growth of our mobile gaming titles (100% IAA) through highly structured, data-driven marketing strategies.

This role is both strategic and hands-on, combining deep channel expertise with strong experimentation, creative thinking, and continuous optimization across mobile and web.

🛠 Responsibilities

• Own and scale UA strategy across Google Ads and Meta (Facebook) with full ownership of performance and growth
• Lead end-to-end campaign execution across both Android and iOS, including setup, scaling, and optimization
• Continuously optimize performance through structured testing, iteration, and insight generation; identify scalable growth levers and double down on what works
• Work closely with creative, product, ASO, and data teams to align on strategy, testing roadmap, and performance improvements
• Design and run meaningful experiments (creative, bidding, targeting, funnel), interpret results, and translate them into actionable insights
• Proactively identify inefficiencies and drive automation of manual processes to improve speed, scalability, and performance
• Contribute to overall UA strategy, share learnings, and raise the bar on execution and decision-making within the team

✅ Requirements

• 3-5+ years of UA / performance marketing experience in mobile gaming
• Deep, hands-on expertise in Google Ads and Meta (Facebook) — must-have
• Strong experience running campaigns for both Android and iOS apps
• Solid understanding of Advanced iOS Measurement (AEM) and SKAN-based setups
• Experience with Meta’s Aggregated Event Measurement (AEM) and post-IDFA ecosystem
• Proven track record of managing large budgets and scaling profitable campaigns
• Strong understanding of the mobile attribution ecosystem (MMPs, SKAN, conversion tracking, incrementality, etc.)
• Experience with data analysis and BI tools (Tableau or similar), ability to work with performance data independently
• Experience with web/app funnels is a plus (not required, but highly valued)

🤖 AI & Automation Mindset

• Comfortable working with AI tools such as ChatGPT, Claude, Gemini, etc.
• Experience with tools like Cursor, Claude Code, or similar AI-assisted development environments is a strong plus
• Strong mindset toward automation and optimization of manual workflows (campaign setup, reporting, creative testing, etc.)
• Ability and willingness to leverage AI to increase efficiency, speed up iteration cycles, and improve decision-making

💡 Profile

• Highly analytical, structured, and detail-oriented
• Strong ownership mindset — able to operate independently and drive results
• Curious and proactive — constantly testing, learning, and improving
• Clear communicator, able to align cross-functional teams

We are seeking an independent board director with deep experience operating ML-driven products and data platforms at scale.

This role is not focused on academic research or algorithm development. Instead, we are looking for a leader who has built organizations where data, experimentation, and machine learning directly drive product decisions, optimization, and revenue growth.

The ideal candidate brings expertise in areas such as:

• building strong data science organizations;
• designing data platforms and experimentation infrastructure;
• integrating ML into product decision loops;
• developing operating cultures built around data and experimentation;

This is a non-executive board position, not an operating role.

Appodeal is building a performance-driven technology platform powered by data and machine learning.

Our systems rely on:

• large-scale data pipelines;
• real-time decision systems;
• automated optimization;
• experimentation and model iteration.

The company operates an ecosystem including:

• advertising infrastructure;
• demand-side platform (DSP);
• supply-side platform (SSP);
• mobile game publishing and development.

Machine learning and data infrastructure are core to the company’s long-term competitive advantage.

Strategic Focus of the Role

The mission of this role is to strengthen the board’s ability to guide the company in building a world-class data and machine learning organization.

The director will contribute a perspective on:

• structuring and scaling data science teams;
• designing experimentation-driven product cultures;
• building high-quality data platforms and infrastructure;
• integrating ML systems into business decision processes;
• best practices for data-driven product development;
• organizational structures that allow ML systems to improve continuously.

This role focuses on how ML-driven companies operate, rather than on the underlying algorithms themselves.

Responsibilities

Board members are expected to:

• Participate in quarterly board meetings;
• Provide independent strategic guidance to the CEO and leadership team;
• Contribute to discussions around data platform strategy and ML-driven product development;
• Provide perspective on organizational structure for data science and ML teams;
• Help evaluate major technical and infrastructure investments;
• Share insight from companies where ML directly drives business outcomes;
• Board members are not involved in day-to-day operations.

Ideal Background

We are looking for a technology or product leader who has built ML-driven product organizations where data science plays a central role in revenue generation and product optimization.

Prior board experience is welcome but not required. 

What We Value

We are looking for individuals who bring:

• deep experience running ML-driven product organizations:
• strong operational judgment;
• experience building data-driven engineering cultures;
• an independent mindset;
  willingness to challenge assumptions constructively.
  
  

Time Commitment

Estimated commitment: approximately four weeks per year. This includes preparation and participation in board meetings as well as occasional strategic discussions with the leadership team.

We are seeking an Independent Board Director with deep experience in performance-based advertising technology, particularly DSP platforms driven by machine learning and optimization algorithms.

This individual should bring operator-level experience from leading performance advertising platforms and be able to contribute meaningfully to discussions around:

• DSP product strategy;
• machine learning driven ad optimization;
• advertiser acquisition and growth;
• competitive positioning in performance advertising;

This is a non-executive board position, not an operating role.

Appodeal is building a performance-based DSP and advertising infrastructure platform powered by machine learning.
Our long-term objective is to build a global performance advertising platform that enables advertisers to acquire users and customers efficiently through data-driven optimization and ML-based bidding systems.

Appodeal operates a broader ecosystem that includes:

• advertising infrastructure;
• demand-side platform (DSP);
• supply-side platform (SSP);
• mobile game publishing and development.

The company is profitable, growing, and operates globally across the United States and Europe.

Strategic Focus of the Role
The primary mission of this board role is to strengthen Appodeal’s ability to build a world-class ML-driven performance DSP.

The director will contribute a perspective on:

• performance advertising market dynamics;
• DSP platform strategy;
• advertiser growth and retention;
• machine learning driven optimization;
• industry partnerships;
• competitive landscape.

In addition to strategic insight, the company is looking for a director who is well-connected in the performance advertising ecosystem and can help the company stay closely aligned with
industry developments.

Responsibilities

Board members are expected to:

• Participate in quarterly board meetings;
• Provide independent strategic guidance to the CEO and leadership team;
• Contribute to discussions around product strategy, partnerships, and market positioning;
• Help evaluate major strategic initiatives;
• Provide perspective on industry trends and competitive threats;
• Support the company through relevant industry connections and relationships;
• Board members do not participate in day-to-day operations.

Ideal Background
We are looking for a senior operator with leadership experience in performance advertising platforms or performance marketing infrastructure.

What We Value
We are looking for individuals who bring:

• deep expertise in performance advertising platforms;
• strong industry network and relationships;
• high strategic judgment;
• an independent mindset;
• willingness to challenge assumptions constructively;
• long-term thinking aligned with building durable technology platforms.

Time Commitment
Estimated commitment: approximately four weeks per year. This includes preparation and participation in board meetings, as well as occasional strategic discussions with the leadership team.

We are seeking a skilled Data Engineer to join our Mobile Growth Platform UA team in Barcelona. The ideal candidate will be responsible for building, maintaining, and optimizing our data infrastructure, ensuring seamless data flow and accessibility for ML and DA, analytical and business needs.

Key Responsibilities:

• Design and build scalable data pipelines: Architect, construct, and maintain robust ETL/ELT pipelines using the Databricks platform (Apache Spark, Delta Lake, Delta Live Tables) for batch and streaming data ingestion from various sources.
• Manage data architecture: Define and maintain a scalable and secure data platform architecture that integrates Databricks (for data lakehouse management and complex transformations) with specialized OLAP engines (ClickHouse/Druid for fast querying).
• Design, develop, test, and orchestrate data workflows to streamline pipelines.
• Optimize performance and reliability: Monitor, troubleshoot, and fine-tune data workflows and database performance (e.g., Spark job optimization, ClickHouse schema tuning, Druid data partitioning) to ensure maximum efficiency and reliability.
• Contribute to the development of internal tools for automating data processes and business workflows, enhancing efficiency and scalability.
• Collaborate closely with product, MLOps and data science teams to ensure an optimal data experience for all ML practitioners and data consumers.

Requirements:

• 3-5+ years of professional work experience in data engineering.
• Strong expertise in Python and common data frameworks (Pandas, PySpark).
• Experience with modern data storage solutions: Data lakes (Delta tables), and data warehouses.
• Experience with data orchestration tools (Dagster, Airflow).
• Experience with streaming technologies (Kafka, Spark structured streaming).
• Experience with cloud platforms (AWS S3, EC2 etc.)
• OLAP Databases: Hands-on experience with ClickHouse and/or Apache Druid for real-time analytics and low-latency data serving.
• Strong problem-solving skills and ability to excel in a fast-paced startup environment.
• Based in Barcelona or ready to relocate to Barcelona.

Nice to have:

• Experience with Databricks platform.
• Experience in building ML data platforms.

About BidMachine

BidMachine is one of the fastest-growing monetization platforms in the mobile ad industry, empowering app developers and publishers to unlock their full revenue potential.
With cutting-edge real-time bidding technology and a transparent, data-driven approach, we help partners achieve stronger performance and greater control of their monetization strategy.

About the Role

We are looking for an experienced Publisher Sales Director (Non-Gaming) to accelerate adoption of our SDK and monetization solutions among non-gaming apps. You will leverage strong relationships across the supply-side ecosystem, combined with a deep understanding of the mobile advertising space, to close new publisher partnerships and upsell additional monetization solutions.

This is an opportunity to join a high-growth, high-impact team and directly shape BidMachine’s next stage of expansion.

Key Responsibilities:

New Business

• Prospect, pitch, and close new non-gaming publisher accounts for BidMachine, exceeding quarterly sales quotas.

• Negotiate commercial agreements that deliver long-term value for both BidMachine and its customers.

Onboarding & Account Development

• Build senior-level relationships with decision-makers at publisher organizations.

• Work cross-functionally with Ad Ops, Product, and Engineering to ensure smooth onboarding and reliable ongoing support.

Market Insight & Evangelism

• Act as the voice of publishers by providing structured feedback on feature gaps, monetization trends, and competitive activity.

• Champion the benefits of BidMachine and its broader portfolio of monetization solutions.

What We’re Looking For:

• Strong existing relationships across the non-gaming app ecosystem.

• A proven and exceptional track record of closing new business with non-gaming publishers and managing a portfolio of accounts.

• Deep knowledge of the mobile ad tech ecosystem.

• Strong negotiation skills with a demonstrated ability to build executive-level relationships.

• An analytical mindset, with the ability to turn performance data into actionable insights.

• Excellent written and verbal communication skills.
  
  

Why Join Us:

• Play a key role in shaping something new within a fast-growing ad tech business.

• Create a direct and visible impact on company growth.

• Collaborate with an experienced team that values curiosity, challenges the status quo, and operates with a strong bias for action.

• Work in an environment that supports both personal and professional development.

• Competitive compensation with performance-based incentives and clear opportunities for career growth.

We are looking for an experienced Lead Data Scientist to add to our Data Science team.

Responsibilities:

• Drive the team’s data science vision and ensure alignment with business goals, focusing on ad-tech and revenue optimization.
• Guide and support the growth of data scientists, fostering a collaborative and innovative environment.
• Oversee the development of scalable, high-impact models for ad targeting, bid strategy, and performance analysis.
• Ensure the efficiency and relevance of data pipelines and models, adapting to the dynamic tech landscape.

Technology Stack:

• Proficiency in Python and SQL.
• Experience with manipulation frameworks such as PySpark and Pandas.
• Skilled at using cloud services such as AWS, etc.
• Hands-on experience in DNN models training libraries and frameworks (PyTorch, Hydra, comet etc.)

Qualifications:

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of experience in data science, preferably in a product-focused environment.
• 2+ years experience in AdTech.
• 2+ years experience in a leading role.
• Strong analytical skills with the ability to derive insights from complex datasets.
• Proficiency in statistical modeling and machine learning techniques.
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
• Based in Barcelona, Spain or ready for relocation.

Why Join Us:

• Opportunity to work on cutting-edge projects with a global impact in the mobile app industry.
• A collaborative and inclusive work culture that values innovation and continuous learning.
• Competitive salary, flexible work arrangements, and comprehensive benefits package.
• Professional development opportunities and career growth prospects within a fast-growing company.

Appodeal is looking for a strategic and results-driven leader to head our User Acquisition efforts. As Head of User Acquisition, you will be responsible for building and executing the UA strategy, identifying growth opportunities, and maximizing ROAS to scale our portfolio of casual, ad-monetized evergreen mobile games. Your primary goal will be to ensure our apps’ growth and monetization performance is on par with or exceeds that of top competitors. Additionally, you will drive team growth, optimize efficiency, and continuously refine our UA processes. 

Responsibilities:

• Develop and execute a comprehensive user acquisition strategy aligned with the company’s quarterly and yearly goals.
• Identify and pursue growth opportunities to scale user acquisition spend while maximizing ROAS.
• Build and scale a high-performing UA team, establish and optimize media buying processes ensuring operational efficiency and continuous improvement.
• Lead business development efforts, including negotiating and managing partnerships and exclusive deals with networks.
• Collaborate with engineers to identify automation opportunities for campaign management and reporting.
• Work closely with the product and monetization team to optimize ARPU.
• Lead and grow the Creative team, setting high-level goals and ensuring their output supports UA objectives.
• Analyze performance data and provide actionable insights to key stakeholders.
• Continuously monitor industry trends and competitor strategies to stay ahead in the user acquisition landscape.

Requirements:

• 5 years of experience in user acquisition/media buying for mobile app products.
• Proven track record in building and scaling user acquisition strategies with a focus on growth and efficiency.
• In-depth knowledge of various digital buying platforms, including CPI networks, DSPs, Google Ads, etc.
• Strong problem-solving and critical-thinking skills, with experience working in fast-paced, metrics-driven environments.
• Ability to participate in strategic planning while excelling at day-to-day execution and optimization.
• Excellent communication skills and the ability to work effectively across departments and with stakeholders.
• Experience in resource allocation, ensuring optimal use of team bandwidth and marketing spend.
• Advanced Business English, particularly in writing and speaking.

Nice to Haves:

• Experience scaling mobile games to top 50 grossing.
• Experience with mobile casual ever-green games such as puzzles, word games, dominoes, card games, etc.

Why Join Us?

• We offer a great product and an amazing, internationally dispersed team.
• Our mission is simple: to help every person discover and grow their talents.
• You will have a direct impact on the company's growth trajectory, leading efforts to scale our games to new heights.

We are seeking a strategic and results-driven Senior Product Manager to join our MGP (Mobile Growth Platform team) in Barcelona, to oversee and drive the product initiatives and development at the holding level. As a Product Manager, you will lead the roadmap, and execution of our product initiatives, ensuring alignment with business goals and customer needs. You will work closely with cross-functional teams, including ML, data, and engineering to deliver innovative and impactful AdTech solutions.

Key Responsibilities:

• Develop and execute a comprehensive product roadmap that aligns with the company’s business objectives and growth goals.
• Lead the product lifecycle from ideation to launch, including defining product vision, creating detailed product requirements, and managing timelines and budgets.
• Collaborate with stakeholders across business units to gather insights, identify market opportunities, and prioritize product features and enhancements.
• Conduct market research and competitive analysis to inform product decisions and ensure our solutions remain competitive and relevant.
• Work closely with ML, data, and engineering teams to develop and deliver high-quality products that meet customer needs and exceed expectations.
• Define and track key performance metrics to measure product success and drive continuous improvement.
• Lead product launch activities, including coordinating with marketing and sales teams to develop go-to-market strategies and promotional plans.
• Stay up-to-date with industry trends, emerging technologies, and best practices in product management, and AdTech.
• Mentor and develop junior product managers, fostering a culture of innovation, collaboration, and excellence.

Qualifications:

• 4+ years of experience in product management, with a proven track record of successfully leading product initiatives in the machine learning, data science, and AdTech industry.
• Excellent analytical and problem-solving skills, with the ability to make data-driven decisions.
• A strong understanding of the AdTech ecosystem, including programmatic advertising, ad networks, and real-time bidding is a plus.
• Ability to improve data management processes, including implementing Data Governance and Data Observability standards.
• Experience developing strategies for data quality, including real-time monitoring automation, incident detection, and resolution.
• Experience managing data-focused products or platforms with high reliability and security standards.
• Strong leadership and project management skills, with the ability to manage multiple priorities and meet deadlines.
• Exceptional communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
• Experience with agile development methodologies and tools.
• Proven ability to develop and execute successful go-to-market strategies.
• Passion for innovation and a customer-centric mindset.

Nice to have:

• Mobile experience.

Based in Barcelona or ready to relocate to Barcelona