About the role

We are looking for a Senior Product Manager to own and evolve one of the most important areas of the Typeform experience, product usage and growth.

This role sits at the intersection of Product, Data, Marketing, and Lifecycle. You will own the full journey across onboarding, activation, retention, and engagement, helping customers discover value faster and return more often.

The opportunity is significant. We have a strong testing and publishing motion, but there is still a large gap between users creating forms and becoming active, retained customers. This role is central to improving that journey and turning usage into sustainable revenue growth.

You will partner closely with Lifecycle Marketing, PMM, Research, Data, and Engineering to define and execute a clear growth strategy across the customer lifecycle. This is not a role for someone who waits for perfect information or builds roadmaps around ideas alone. We are looking for someone who starts with the problem, uses data to identify opportunities, and moves quickly to test and learn.

Things you will do

• Own the onboarding, activation, retention, and engagement product experience end to end
• Build and drive an integrated growth roadmap alongside Lifecycle Marketing and PMM
• Define product strategy for your area, grounded in customer insight, business impact, and data
• Identify friction points across the user journey and turn them into fast, testable opportunities
• Lead experimentation across onboarding flows, engagement loops, and retention initiatives
• Partner closely with Research and Data to deeply understand customer behavior and usage patterns
• Bring structure and clarity to prioritization, helping teams focus on the highest impact opportunities
• Drive measurable improvements across activation, repeat usage, and engagement metrics
• Influence cross functional teams across Product, Marketing, and Leadership to create shared accountability around growth outcomes
• Raise the quality bar across product thinking, experimentation, and execution discipline

What you already bring to the table

• Strong product management experience working on growth, onboarding, retention, or engagement problems
• A proven track record of improving product usage metrics that translate into meaningful business impact
• Deep experience with experimentation and hypothesis driven product development
• High comfort level working with product analytics tools such as Amplitude or similar platforms
• Strong product intuition and the ability to balance speed with thoughtful decision making
• Experience partnering closely with Lifecycle Marketing, PMM, Data, and Research teams
• Strong communication skills with the ability to simplify ambiguity into clear next steps
• A highly customer centric mindset, grounded in both qualitative and quantitative insight
• Bias for action, strong ownership, and the ability to operate effectively in fast moving environments
• Humility and openness to feedback, with a focus on outcomes over ego

Nice to have

• Experience working on PLG or SaaS growth motions
• Experience with tools such as Fullstory or equivalent behavior analytics platforms
• Experience scaling onboarding or lifecycle experiences across multiple customer segments
• Experience working on products with large scale usage and experimentation environments

The Data & Insights Specialist supports our brand by leveraging data-driven intelligence to define, design, and deploy analytical frameworks that shape and measure campaign objectives, business goals, and communication strategies.

Working within the Retail Marketing team, you will proactively identify knowledge gaps by synthesizing complex datasets and designing research methodologies that bridge the gap between raw data and actionable strategy.

You act as an internal business consultant to a range of stakeholders, not just for the Retail Marketing department, and you are responsible for supporting our brand, retention & markets pillars, ensuring that every retail activation is backed by solid consumer evidence.

Key Responsibilities

• Support the Marketing Lead in managing relationships with data providers and research agencies, ensuring a seamless integration between third-party research and internal behavioral data.
• Ensure we are delivering "connected insights" by merging qualitative findings (shopper research) with quantitative performance metrics (sales, conversion, and traffic).
• Support the development of research and data projects designed to build local marketing strategies.
• Collaborate with specialists to develop briefs that answer key business questions through occasion-based segmentation, predictive pricing analysis, and promotional ROI modeling.
• Act as the primary point of contact for communication teams to scale Global Activation Measurement, focusing on Online-to-Offline attribution and store traffic drivers.
• Analize user behavior data to shape the future development of retention programs.
• Build global data toolkits and standardized research best practices to ensure scalable and consistent insights across Portugal and Spain markets.
• Work along the Retail Marketing team to translate data into creative strategies. Be the expert who informs "the what" and "the why" behind consumer behavior.

Skills & Experience Required

• 2+ years of experience in a similar role.
• Good understanding of working with commercial analytics data and understanding business KPIs
• Ability to quickly establish and maintain effective internal and external stakeholder networks.
• English B2

Core Competencies 

• Adaptability and flexibility
• Communication
• Excellence
• Goal orientation
• Customer orientation
• Teamwork

What We Offer 

We are proud to be an equal opportunity employer, committed to creating a workplace where every colleague is valued, respected, and empowered. We celebrate the diversity of our teams and strive to ensure that all colleagues regardless of background, identity, or lived experience can thrive and contribute meaningfully.

As a part of our successful and continually evolving company, you’ll be encouraged to embrace and uphold our strategic priorities: putting people first, at the forefront of digital innovation, staying deeply attuned to our customers, and pursuing operational excellence. We are always exploring new avenues for growth, and we welcome individuals who are passionate about making a positive impact every day.

We know our employees work tirelessly to make JD Sports the success it is today and in turn, we offer them some amazing benefits:

• Hybrid Work
• Staff Discount on qualifying purchases across Group retail stores and online
• Flexible/optional benefits: restaurant ticket, transportation ticket, health insurance
• Personal development opportunities to learn and develop at work
• Continuous professional development in hard and soft skills
• And… much more!

If you are interested in this position, apply now!

Due to the high volumes of applications our opportunities attract, it takes time to review them all. If you don't hear back within two weeks of you applying, please consider your application to have been unsuccessful on this occasion. Applications that meet the skills criteria will be contacted for a 1st stage meeting with the talent team. Shortlisted candidates will then be invited to interview with the hiring manager.

Thank you again for your time.

Position Overview:

We are seeking a highly skilled and experienced Principal Economy Manager to join our team in Barcelona. Reporting directly to the Director of Economy and working closely alongside another Lead Economist, you will operate as a centralized expert resource across three different studios.

Unlike traditional game economy roles focused on a single title, you will lead economic strategy and systems design on a project basis, supporting various games across our extended portfolio. While this is a high-level Individual Contributor role with no direct reports, your leadership impact will be massive. You will analyze each game, identify key opportunities and challenges, and build sustainable solutions while elevating our internal economy practices. You will establish best practices, develop robust frameworks, and mentor embedded game teams so they can eventually own and manage their economies independently.

This role is highly strategic and deeply hands-on: blending advanced research, complex system design, cross-studio collaboration, and technical mentorship.

What You'll Do:

You aren't just working on one game; you are a key economic architect across three studios. You will step into different projects to diagnose economic health, design robust pricing and reward systems, and empower local teams to execute your designs.

• Drive Cross-Studio strategy: Serve as the shared expert supporting multiple games across distinct studios. You will take ownership of the economic design phase for targeted projects, identifying gaps and implementing tailored solutions to drive engagement and business performance.

• Collaborate at the highest level: Work in tandem with another Lead Economist and report directly to the Director of Economy to align on portfolio-wide strategies, tackle complex systemic challenges, and ensure consistent design standards across all studios.

• Mentor and Empower teams: Act as a technical leader and mentor for game-level economy designers and PMs. While you won't have direct reports, you will lead through influence, training internal teams on advanced economic frameworks and ensuring they have the tools to manage their game's economy long-term.

• Design and simulate: Leverage your quantitative expertise to build complex predictive models, run simulations, and design A/B tests that validate your design decisions and forecast the impact of new features.

• Bridge the gap globally: Drive cross-functional efforts with Product Managers, Data Scientists, and Engineers across different teams and geographies, acting as a technical bridge to ensure seamless execution from concept to live ops.

What You Bring:

• A Bachelor's or Master's degree in Economics, Math, Statistics, or a related quantitative field, paired with a proven track record of designing and optimizing complex game economies at a senior or lead level.

• Advanced analytical skills with a "must-have" mastery of Excel. Experience with SQL, R, or Python is a significant advantage for deep-dive research and modeling.

• Demonstrated ability to drive strategic initiatives and upskill junior or mid-level talent across multiple studios or departments without formal reporting lines. You excel at matrix leadership and cross-functional collaboration.

• A deep-seated interest in Free-to-Play mechanics and a sophisticated understanding of how to balance player experience with sustainable monetization.

Bonus Points:

• Additional background in Monetization strategy to complement your economic expertise.

• Experience working on large-scale online, social, or multiplayer games.

What's in it for you as a Socialpointer?

• Hybrid working model: we ask you to come to our Barcelona office at least 2 days per week

• A generous 25 days of annual leave, plus public holidays

• Private medical insurance for you and your family to keep your health bar full

• Disability and life insurance

• Choose from the latest iOS or Android device when you join (phone or tablet)

• Free language lessons in English, Spanish and Catalan

• Spotify Premium to add the perfect soundtrack to your adventure

• Legendary social events and parties to let off some steam

• Take-Two Interactive employee stock purchase plan (eligibility criteria applies)

• Professional development budget for skills training

Onsite perks include:

• State-of-the-art gym facilities

• Free breakfast, lunch, and specialty coffee

• Onsite physiotherapist and hairdresser (no wallet needed!)

The list goes on and on… so get your game on and apply now! Click “Apply” to level up and submit your application in English.

About the role

We're looking for a Senior UX Researcher who brings rigour and curiosity to both product and marketing research. Someone who's as comfortable running foundational product studies as they are digging into brand perception, buyer mindsets, or how a marketing site actually works for the people using it.

This is strategic, high-visibility work — you'll partner with Product Design, Product Management, Brand, and Marketing to shape what we build and how we tell the world about it.

What makes this role unique:

• Work across both brand and product research, with real influence on each
• Research enterprise developer tools and DevOps workflows — including AI-powered features built for developers
• Fast-paced environment where research directly influences design and business decisions
• Be part of a team of talented, experienced researchers who genuinely invest in each other's growth

What you'll do

• Lead foundational, problem validation, and strategic research projects across your assigned product areas and beyond
• Drive both brand and product research — including buyer persona development, brand perception studies, and digital experience research — that directly informs positioning and messaging
• Be the expert on the users within your area of coverage: their behaviours, pain points, workflows, and goals
• Make connections across research initiatives, surfacing macro insights that no single study could reveal on its own
• Build trusted relationships with Product Design, Product Management, Brand, and Marketing counterparts, guiding them to the right research approach
• Advocate for and socialise actionable insights in a clear and compelling way that increases empathy across the organisation
• Independently drive research prioritisation across stage groups, balancing impact, product direction, and company objectives
• Mentor other researchers and actively shape how the Experience Research team works, through process iteration, documentation, and peer reviews

What you'll bring

• Empathetic, curious and open-minded
• Deep mixed-methods research experience across qualitative and quantitative methods
• A track record in both product research and marketing or brand research
• The ability to guide stakeholders — including senior ones — toward the right approach, even when they arrive with a firm opinion
• Strong instincts for prioritisation across multiple stakeholder groups in a fast-moving environment
• Clear, compelling communication that makes findings land with product, brand, and marketing audiences
• Experience working in a highly iterative, fast-paced environment, with the ability to pivot with sudden changes in direction
• Demonstrated ability to work effectively in a fully remote, globally distributed team — with strong async communication habits
• Self-motivated and self-managing, with strong organisational skills
• Ability to ramp up to a highly technical domain quickly
• Share our values, and work in accordance with those values
• Able to conduct research in a fully remote setting and use GitLab as part of your daily workflow
• Experience working on AI products, particularly for enterprise dev tooling, is a plus
• Experience working on enterprise and/or developer tooling products is a plus

Title: Marketing Operations & Research Manager (Portuguese speaker)

Location: Spain; Madrid

Experience: Mid Level

Job Function: Marketing

Employment Type: Full-time

Industry: Computer Network & Security

Job Summary

Lead operational marketing and market research initiatives aimed at generating qualified opportunities, optimizing event participation, and gaining strategic insights into customers and markets. The role will be responsible for the end-to-end management of outreach campaigns (emailing, calls, surveys) and for producing analytical reports that support commercial and marketing decision-making. Handles day-to-day operational tasks, including process management and performance metrics. Supports marketing teams by ensuring efficient execution of campaigns and workflows, and contributes to the optimization of marketing operations.

The position is based in the Madrid office, we have a hybrid work model and excellent flexible working practices. The working hours will be 10:00am – 7:00pm (one hour - lunch break) to cover part of LATAM timezone hours. The position requires fluency in written & verbal Portuguese and understanding of Brazilian market. 

Job Responsibilities 

• Lead in-depth analysis of marketing performance data, identifying trends and opportunities for optimization.
• Design and execute direct outreach campaigns (email and calls) to promote and invite audiences to events, webinars, and brand activities.
• Ensure high-quality marketing databases by overseeing data cleansing, segmentation, enrichment, and scoring to drive scalable growth and performance optimization.
• Identify and implement process improvements to optimize marketing workflows and enhance team productivity.
• Manage relationships with external vendors, external agencies involved in surveys, and service providers to ensure alignment and quality execution.
• Lead efforts to implement advanced segmentation strategies in the CRM, ensuring accurate targeting for marketing campaigns.
• Monitor and analyze campaign and event KPIs, ensuring end-to-end performance traceability and driving continuous optimization through data-driven insights.
• Plan and coordinate market research projects, including survey design, audience segmentation, execution, and results analysis.
• Produce strategic reports and insights based on qualitative and quantitative data (surveys, CRM, digital campaigns, etc.), identifying trends and opportunities.
• Provide strategic recommendations to enhance campaign impact and deepen market understanding. 

Minimum Qualifications, Education and Skills

• Bachelor's degree or equivalent experience in Marketing, Sociology, Business Administration, Market Research and similar areas. 
• Strong experience in marketing operations, data management, or process optimization.
• Expert analytical and technical skills, excellent communication, and project management skills.
• Proficiency in marketing tools and software. Strong knowledge of CRM and marketing automation tools (Salesforce, HubSpot, etc.).
• High analytical skills and strong command of reporting tools (advanced Excel, Google Data Studio, Power BI, or similar).
• Ability to lead small projects, innovate within the role, and provide training to peers.
• Comprehensive knowledge of industry standards, company operations, and advanced methodologies. Preferably with previous experience in B2B technology or cybersecurity environments.
• Understanding of Brazilian market and fluency in Brazilian Portuguese is essential. 
• Fluency in Spanish and English language. #LI-NA1

Scopely is looking for a Senior Product Manager to join our Star Trek Fleet Command team in Spain, Ireland or the UK on a remote basis.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. 

Star Trek Fleet Command is a standout success in the gaming industry. Launched in 2018, our in-house developed 4X Strategy MMO has continually evolved, earning its place as one of the top-grossing games on the market.

What You Will Do

As a Senior Product Manager for Star Trek Fleet Command, you will take ownership of key developments and Live Ops initiatives designed to expand the game’s player base by improving retention, engagement and conversion. Reporting directly to the Director of Product Growth, you will apply your expertise in mobile F2P games to implement growth-focused product initiatives and features that drive sustainable player lifecycle milestones.

• As part of the Growth team, prioritize and implement player-focused features, improvements, in-game events, sales and campaigns, among other initiatives.
• Contribute to the daily live operations of the early game, returning player experience, and other key areas to drive retention and conversion.
• Work closely with development pods to ideate, define, and deliver new features and other game changes.
• Drive small to medium scale projects from concept through to completion, managing project scope, timelines, and outcomes. 
• Exercise independent judgment in devising solutions, making impactful decisions that optimize the player experience and impacting key metrics.
• Work closely with Marketing, Analytics, User Research, and other teams to ensure initiatives align with game insights and player behaviour data.
• Evaluate and respond to user pain points, using quantitative and qualitative data to make informed improvements that enhance the player journey. 
• Contribute to creating a player-centric roadmap that strengthens engagement from the earliest stages.
• Develop and execute in-game communication strategies to guide players along the optimal engagement path and key drivers.

What We're Looking For

• Extensive experience in product management and live operation within the free-to-play mobile gaming landscape.
• Deep understanding of complex games, ideally 4X strategy, MMO or RPG game mechanics with complex systems and community driven player behaviour
• Product mindset with a strong focus on player experience and the ability to map out intuitive player journeys and design spec for scalable, player-centric solutions.
• A player-first mindset, understanding of the role that content plays in player engagement, and natural empathy for players’ needs, motivations, and expectations.
• Demonstrated ability to interpret and act on complex data sets to inform decision-making. Proficient in using analytics tools to identify opportunities for growth and evaluate performance.
• Proven ability to manage projects independently, with experience delivering on time and within scope.
• A love for gaming, and an understanding of what keeps players and fans of an IP engaged and invested.

Please ensure that the résumé/CV you attach is written in English.

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

At Superbet, data isn’t a support function, it’s at the heart of every major decision we make. As a Data Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products.

This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it.

What You’ll Do

• Be the Decision Engine: Run deep-dive analyses into customer behavior, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon.
• Shape Strategy with Data: Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions.
• Automate Intelligence: Build scalable dashboards, reporting systems, and data tools that enable teams across Superbet to make smarter, faster, data-driven decisions.
• Partner Across the Business: Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions.
• Tackle Ambiguity: Superbet moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems.

What We’re Looking For

• Technical Mastery: SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau).
• Data Storytelling: You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making.
• Commercial & Product Acumen: You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior.
• Bias for Impact: You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle.
• Proven Track Record: Previous experience in analytics and product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth.
• Education: Degree in Data Science, Statistics, Economics, Computer Science/Engg., Mathematics, or a related quantitative field OR equivalent work experience.
• Years of Experience: We are hiring for roles with at least 2+ years of relevant experience.

Scopely is looking for a Principal Security Engineer to join our Information Security team in Spain/Portugal on a hybrid basis.

Our security team is dedicated to ensuring the security of our top games. This involves collaborating closely with game studios to develop and implement comprehensive security strategies throughout the game design and development lifecycle.

In addition, this role will drive the application of AI to transform how security is delivered across Product Security, Security Operations, and Security Engineering, improving efficiency, scalability, and impact.

What You Will Do

Game & Product Security Leadership

• Partner with game studios to develop comprehensive security strategies for game design and development
• Conduct threat modeling, vulnerability assessments, and security audits across all phases of game development
• Design and implement security controls and countermeasures to mitigate risks and ensure compliance with company policies, standards, and industry norms
• Collaborate with game teams to advocate for secure coding practices and integrate security at every level of the software development lifecycle
• Coordinate and participate in penetration tests and game feature security assessments
• Provide expert-level technical guidance to game teams to assist in securing games and backend infrastructure
• Translate business priorities, technical constraints, and threat intelligence into actionable security roadmaps

AI-Driven Security Transformation & Automation

• Identify and implement opportunities to apply AI to:
• Vulnerability triage, prioritization, and remediation
• Security operations workflows (alert analysis, investigation, response)
• Product security processes (code analysis, findings analysis, pentesting support)
• Build AI-driven workflows, tools, and agents to reduce manual effort and improve speed and accuracy
• Use AI to improve vulnerability management through triage support, risk classification, remediation guidance, and findings analysis
• Partner with Security Operations to improve detection, triage,investigation and response through automation and AI-assisted analysis
• Integrate AI capabilities into existing security platforms (e.g., Wiz, SIEM, Jira, IAM systems)
• Develop reusable AI-enabled components that scale across teams and studios
• Establish practical guardrails for the safe and effective use of AI in security, including data handling, quality control, and human review
• Define success metrics for AI-enabled workflows, including productivity gains, response times, remediation throughput, and signal quality

Security Engineering & Platform Enablement

• Design and implement scalable security solutions across cloud and backend systems
• Work closely with information security domain owners to ensure games adhere to all relevant security policies, standards, and regulatory requirements
• Develop and maintain comprehensive documentation on security architectures, processes, and decisions for technical and non-technical stakeholders
• Improve security engineering efficiency through automation and tooling
• Stay updated with the latest security technologies, trends, threats, and AI capabilities, continuously improving security practices

Stakeholder Engagement & Leadership

• Frequently interact with game studio leaders to understand their roadmaps, risk posture, and how information security can enable them to execute their vision securely
• Develop security-related roadmaps in partnership with game teams
• Regularly report to Information Security and Studio management on the threat landscape and security posture of games
• Act as a thought leader using both qualitative and quantitative risk assessment frameworks
• Lead and/or assist in security incidents and investigations

What We're Looking For

• 8+ years of experience in Product Security, software development, or cybersecurity
• Proven track record in securing large-scale software applications and systems
• Strong experience building automation and security tooling
• Hands-on experience applying AI/LLMs to operational workflows, including designing, evaluating, and safely deploying AI-assisted systems is highly desirable
• Ability to effectively communicate business risk and technical information clearly to both technical and non-technical audiences

Technical Expertise

• Expertise in modern programming languages such as Python and C#
• Strong understanding of:
• Application and product security
• Vulnerability management and pentesting methodologies
• API and backend security
• Experience with mobile application penetration testing, including traffic interception, runtime analysis and API security.
• Experience with modern development ecosystems, CI/CD pipelines, APIs, and developer platforms.
• Strong, hands-on experience with cloud computing environments including:
• AWS shared responsibility model
• IAM and access control
• Network security in the cloud
• Strong understanding of securing cloud workloads including configuration, deployment, and auditing
• Deep knowledge of Linux security practices

Additional Strengths

• Demonstrated ability to think like both an attacker and defender
• Experience architecting for and managing high-scale, high-velocity workloads in AWS preferred
• Familiarity with security frameworks (e.g., OWASP, NIST Cybersecurity Framework) and compliance regulations (e.g., GDPR, CCPA, ISO 27001)
• Excellent analytical, problem-solving, and decision-making skills
• Exceptional communication and leadership skills, with the ability to influence across teams

Bonus Points

• Experience applying AI to security, automation, or developer workflows
• Previous experience at a game company
• Familiarity with:
• RAG architectures
• Vector databases (e.g., pgvector)
• AI-assisted code analysis or pentesting

Please ensure that the résumé/CV you attach is written in English.

Scopely is looking for a Lead Analytics Engineer to join our Finance team in Barcelona on a hybrid basis.

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. 

Show us the money! As the Finance team, we’re number crunchers with top-notch analytical and reporting skills. As a shared service, we get to work with all of Scopely's talented studios.

What You Will Do 

As a Lead Analytics Engineer, Finance, you will own and improve core finance analytics workflows that support monthly close, revenue reporting, audit support, and accounting analysis. You will partner closely with Accounting, Revenue, Game Analytics, Platform Analytics, and Engineering to build scalable data processes, investigate issues, and translate finance questions into durable data solutions.

• Lead recurring finance analytics workflows that support monthly close, revenue reporting, and accounting analysis.
• Own and review critical digital revenue reporting outputs and investigate issues related to data accuracy, completeness, and timing.
• Build, maintain, and improve SQL logic, validation checks, reporting workflows, and related finance data processes.
• Partner with Revenue Accounting, Game Analytics, and Platform Analytics teams to support item-based revenue recognition analyses, including consumable and durable logic, bundle allocations, paid versus earned currency treatment, virtual currency holding periods, and related user-behavior analyses.
• Monitor and maintain financial data pipelines, troubleshoot exceptions, and drive resolution when data is missing, delayed, or inconsistent.
• Design scalable controls, reconciliations, and documentation so recurring workflows are deterministic, auditable, and easier to hand off.
• Support quarterly and ad hoc finance analyses on purchases, player activity, and revenue trends that inform accounting conclusions and business decisions.
• Partner with Finance stakeholders to translate business questions into repeatable systems and durable reporting solutions instead of one-time analyses.
• Support audit requests by preparing evidence, explaining data logic, and coordinating with auditors and internal partners on finance systems and controls.
• Identify opportunities to automate manual finance processes and improve the scalability of the team’s reporting and operating model.
• Help define best practices for finance data tooling, runbooks, and documentation.

What We’re Looking For 

• Bachelor’s degree in Analytics, Statistics, Finance, Accounting, Economics, Computer Science, or another relevant quantitative field.
• 6+ years of experience in analytics, finance data, business operations, or related roles with ownership of business-critical workflows.
• Advanced SQL skills and proficiency in Python or another programming language used for data analysis, automation, and workflow support.
• Strong Excel / Google Sheets skills.
• Experience with cloud data warehouses and data platforms such as BigQuery, Snowflake, Redshift, AWS, Azure, or GCP-based workflows.
• Experience supporting finance, accounting, revenue reporting, monthly close, or audit-related data work.
• Strong understanding of reconciliation, controls, data quality, and process documentation.
• Ability to work cross-functionally and communicate clearly with both technical and non-technical stakeholders.
• Strong written and verbal communication skills, especially when explaining technical findings, risks, and tradeoffs to Finance partners.

Bonus Points 

• Experience in gaming, digital products, or revenue accounting.
• Experience building workflow automation, reusable analytical tooling, or documented runbooks.
• Experience supporting audit requests, finance systems controls, or operational process design.
• Experience mentoring analysts or informally leading cross-functional workstreams

Please submit your CV in English.

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

This role will have access to sensitive and/or confidential employee or customer personally identifiable information (PII) and/or Company financial information, and therefore will be subject to background checks upon receiving a conditional offer of employment.

Position Overview:

We are seeking a highly skilled and experienced Director of Game Economy to join our team in Barcelona. Unlike traditional game economy roles focused on a single title, this position will operate as a centralized expert resource across multiple games. You will lead economic strategy on a project basis: analyzing each game, identifying the key opportunities and challenges in its economy, and guiding the design and implementation of sustainable solutions.

In addition, you will play a critical role in building and mentoring in-game economy teams. While you will initially lead the economic development for each project, you will also establish the long-term structures and train internal teams within each game to own and manage the economy independently.

This role is both strategic and hands-on: blending research, analysis, system design, cross-team collaboration, and leadership development.

What You'll Do:

You aren't just managing one game; you are the architect of a portfolio. You will step into different projects to diagnose economic health, design robust pricing and reward systems, and then train the local teams to take the reins.

• Drive Portfolio Strategy: You will serve as the shared expert across multiple games, taking full ownership of economic health by identifying gaps and implementing tailored solutions for engagement and business performance.
• Build and Mentor Teams: You will lead the recruitment, mentoring, and training of new in-game economy teams, establishing the long-term structures they need to eventually manage their game's economy independently.
• Design and Simulate: You will use your quantitative expertise to develop predictive models, simulations, and A/B tests that validate design decisions and forecast the impact of new features.
• Collaborate Globally: You will lead cross-functional efforts with Product Managers, Data Scientists, and Engineers across different geographies, acting as a cultural and technical bridge to ensure seamless execution.

What You Bring:

• Economic Mastery: A Bachelor's or Master's degree in Economics, Math, Statistics, or a related quantitative field, paired with a proven track record of optimizing complex game economies.
• Technical Proficiency: Advanced analytical skills with a "must-have" mastery of Excel; experience with SQL, R, or Python is a significant advantage for deep-dive research.
• Leadership Experience: Demonstrated ability to grow junior talent into strong economists and lead high-level strategic initiatives across departments.
• F2P Passion: A deep-seated interest in Free-to-Play mechanics and a sophisticated understanding of how to balance player experience with sustainable monetization.

Bonus Points:

• Additional background in Monetization strategy to complement your economic expertise.
• Experience working on large-scale online, social, or multiplayer games.

What's in it for you as a Socialpointer?

• Hybrid working model: we ask you to come to our Barcelona office at least 2 days per week
• A generous 25 days of annual leave, plus public holidays
• Private medical insurance for you and your family to keep your health bar full
• Disability and life insurance
• Choose from the latest iOS or Android device when you join (phone or tablet)
• Free language lessons in English, Spanish and Catalan
• Spotify Premium to add the perfect soundtrack to your adventure
• Legendary social events and parties to let off some steam
• Take-Two Interactive employee stock purchase plan (eligibility criteria applies)
• Professional development budget for skills training

Onsite perks include:

• State of the art gym facilities
• Free breakfast, lunch, and specialty coffee
• Onsite physiotherapist and hairdresser (no wallet needed!)

The list goes on and on… so get your game on and apply now! Click “Apply” to level up and submit your application in English.

Location: Looking for Japanese citizens / visa holders, fluent in Japanese, willing to stay in Madrid for 12 months before having the view to relocate to Tokyo. Customer base will be in Japan, involving travel to meet clients in person.

The Team

As an Associate AI Applied Engineer, you are part of our Value Engineering team and are the trusted advisor for customers working on the intersection of technology and business. As a so-called Value Engineer (VE), you partner with sales and customers to create compelling and innovative technical solutions to critical business problems leveraging cutting edge (AI) capabilities within our Celonis Process Intelligence Platform. A great VE understands the customer, the technology, and the sales cycle making it what may be the most interesting, challenging, and fulfilling role in Enterprise Software

You will be joining the Global VE Center of Excellence which is an international, diverse, and dynamic organization at the core of the Celonis Value Engineering team supporting our local field teams. As a team, we enjoy working in a fast-paced environment and share a sense of belonging to a community that wants to learn and grow together. The team culture is one based on building trust, continuous development, and improvement through coaching & mentoring. 

The Role

Talented individuals launch their careers in the enterprise software world by joining the Orbit Graduate Program as an Associate Value Engineer.

The 12-month program is a unique experience to fast start your career in the SaaS Industry that highlights hands-on learning, mentorship, and a team culture where we rely on each other to learn, grow and achieve. The program is designed to develop essential VE skills & competencies and establish strong lasting relationships allowing you to grow your career at Celonis. 

Your journey will start with onboarding & enablement to develop your business and Celonis skills through a combination of hands-on experience in customer engagements and different pieces of training which cover amongst others the Celonis Process Intelligence, domain knowledge, presentation & demo skills, discovery & objection handling as well as value selling. 

The work you’ll do:

• Work as part of the Global VE CoE to support the Japan Value Engineering team on customer engagements
• Collaborate with customers to uncover their core business challenges and determine how Celonis Process Intelligence can help them achieve their business objectives and AI Strategy
• Execute proof projects showcasing the value of Celonis Process Intelligence, frame a quantitative business value and deliver presentations to senior executives to drive investment decisions
• Prototype and develop AI solutions tailored to customer needs, including both traditional machine learning, LLM-based solutions and orchestration technology
• Drive change management and value realisation and ensure a positive return on investment
• Build strong relationships with our customers by winning their trust through technical, product expertise, and business acumen to act as a trusted advisor
• Collaborate and share customer insights & feedback with internal Product and Engineering teams to influence and co-develop (AI) product innovations
• Create re-usable collateral, best practices & tools within the Global VE Center of Excellence and feed them back to the regional Value Engineering team
• Travel to the Japan region to meet clients in person to ensure the success of customer engagements

The qualifications you need:

We are looking for people who enjoy solving problems, think outside the box, and are not afraid to make and learn from mistakes. In particular, we seek “builders” who thrive in fast-paced environments and can rapidly develop solutions and pilots using our platform and AI technologies.

You have a bachelors and/or masters degree in (Industrial) Engineering, Computer Science, Data Science / Business Analytics, AI/ML, Mathematics or other related fields, as well as valuable work/internship experience. You’re curious, self-motivated, enjoy continuous learning, and you want to work in a lively environment characterized by high growth.

You are successful as a Value Engineer if you:

• Have a passion for technology, data and AI and the impact it can have on the world
• Have a hunger to learn new technologies and bring at least basic knowledge or hands-on experience in SQL and/or Python
• Any exposure to process mining principles and completion of Celonis "Rising Star" modules would be a welcome indicator of your eagerness to develop in this field
• Are able to think analytically and creatively, especially in applying technology solutions to core business problems
• Are focused on creating and adding value for customers
• Have an entrepreneurial mindset and the ability to multi-task, prioritize and execute
• Are able to build relationships with senior management and influence decision-makers
• Are confident to present to C-level executives and larger audiences
• Are willing to travel to the Japan region to meet clients in person
• Are an effective communicator and fluent in English and Japanese

Location: Looking for Australian / Korean citizens / visa holders willing to stay in our Global Hubs for an initial onboarding period of 12 months before relocating into one of our local offices in the APAC market.

The Team

As an Applied AI Engineer, you are part of our Value Engineering team and are the trusted advisor for customers working on the intersection of technology and business. As a so-called Value Engineer (VE), you partner with sales and customers to create compelling and innovative technical solutions to critical business problems leveraging cutting edge (AI) capabilities within our Celonis Process Intelligence Platform. A great VE understands the customer, the technology, and the sales cycle making it what may be the most interesting, challenging, and fulfilling role in Enterprise Software

You will be joining the Global VE Center of Excellence which is an international, diverse, and dynamic organization at the core of the Celonis Value Engineering team supporting our local field teams. As a team, we enjoy working in a fast-paced environment and share a sense of belonging to a community that wants to learn and grow together. The team culture is one based on building trust, continuous development, and improvement through coaching & mentoring. 

The Role

Talented individuals launch their careers in the enterprise software world by joining the Orbit Graduate Program as an Associate Value Engineer.

The 12-month program is a unique experience to fast start your career in the SaaS Industry that highlights hands-on learning, mentorship, and a team culture where we rely on each other to learn, grow and achieve. The program is designed to develop essential VE skills & competencies and establish strong lasting relationships allowing you to grow your career at Celonis. 

Your journey will start with onboarding & enablement to develop your business and Celonis skills through a combination of hands-on experience in customer engagements and different pieces of training which cover amongst others the Celonis Process Intelligence, domain knowledge, presentation & demo skills, discovery & objection handling as well as value selling. 

The work you’ll do:

• Work as part of the Global VE CoE to support the APAC Value Engineering team on customer engagements
• Collaborate with customers to uncover their core business challenges and determine how Celonis Process Intelligence can help them achieve their business objectives and AI Strategy
• Execute proof projects showcasing the value of Celonis Process Intelligence, frame a quantitative business value and deliver presentations to senior executives to drive investment decisions
• Prototype and develop AI solutions tailored to customer needs, including both traditional machine learning, LLM-based solutions and orchestration technology
• Drive change management and value realisation and ensure a positive return on investment
• Build strong relationships with our customers by winning their trust through technical, product expertise, and business acumen to act as a trusted advisor
• Collaborate and share customer insights & feedback with internal Product and Engineering teams to influence and co-develop (AI) product innovations
• Create re-usable collateral, best practices & tools within the Global VE Center of Excellence and feed them back to the regional Value Engineering team
• Travel to the APAC region to meet clients in person to ensure the success of customer engagements

The qualifications you need:

We are looking for people who enjoy solving problems, think outside the box, and are not afraid to make and learn from mistakes. In particular, we seek “builders” who thrive in fast-paced environments and can rapidly develop solutions and pilots using our platform and AI technologies.

You have a bachelors and/or masters degree in (Industrial) Engineering, Computer Science, Data Science / Business Analytics, AI/ML, Mathematics or other related fields, as well as valuable work/internship experience. You’re curious, self-motivated, enjoy continuous learning, and you want to work in a lively environment characterized by high growth.

You are successful as a Value Engineer if you:

• Have a passion for technology, data and AI and the impact it can have on the world
• Have a hunger to learn new technologies and bring at least basic knowledge or hands-on experience in SQL and/or Python
• Any exposure to process mining principles and completion of Celonis "Rising Star" modules would be a welcome indicator of your eagerness to develop in this field
• Are able to think analytically and creatively, especially in applying technology solutions to core business problems
• Are focused on creating and adding value for customers
• Have an entrepreneurial mindset and the ability to multi-task, prioritize and execute
• Are able to build relationships with senior management and influence decision-makers
• Are confident to present to C-level executives and larger audiences
• Are willing to travel to the APAC region to meet clients in person
• Are an effective communicator and fluent in English (and Korean, if applying for Korean market).

Location: Looking for Japanese citizens / visa holders, fluent in Japanese, willing to stay in Madrid for 12 months before having the view to relocate to Tokyo. Customer base will be in Japan, involving travel to meet clients in person.

The Team

As an Associate AI Applied Engineer, you are part of our Value Engineering team and are the trusted advisor for customers working on the intersection of technology and business. As a so-called Value Engineer (VE), you partner with sales and customers to create compelling and innovative technical solutions to critical business problems leveraging cutting edge (AI) capabilities within our Celonis Process Intelligence Platform. A great VE understands the customer, the technology, and the sales cycle making it what may be the most interesting, challenging, and fulfilling role in Enterprise Software

You will be joining the Global VE Center of Excellence which is an international, diverse, and dynamic organization at the core of the Celonis Value Engineering team supporting our local field teams. As a team, we enjoy working in a fast-paced environment and share a sense of belonging to a community that wants to learn and grow together. The team culture is one based on building trust, continuous development, and improvement through coaching & mentoring. 

The Role

Talented individuals launch their careers in the enterprise software world by joining the Orbit Graduate Program as an Associate Value Engineer.

The 12-month program is a unique experience to fast start your career in the SaaS Industry that highlights hands-on learning, mentorship, and a team culture where we rely on each other to learn, grow and achieve. The program is designed to develop essential VE skills & competencies and establish strong lasting relationships allowing you to grow your career at Celonis. 

Your journey will start with onboarding & enablement to develop your business and Celonis skills through a combination of hands-on experience in customer engagements and different pieces of training which cover amongst others the Celonis Process Intelligence, domain knowledge, presentation & demo skills, discovery & objection handling as well as value selling. 

The work you’ll do:

• Work as part of the Global VE CoE to support the Japan Value Engineering team on customer engagements
• Collaborate with customers to uncover their core business challenges and determine how Celonis Process Intelligence can help them achieve their business objectives and AI Strategy
• Execute proof projects showcasing the value of Celonis Process Intelligence, frame a quantitative business value and deliver presentations to senior executives to drive investment decisions
• Prototype and develop AI solutions tailored to customer needs, including both traditional machine learning, LLM-based solutions and orchestration technology
• Drive change management and value realisation and ensure a positive return on investment
• Build strong relationships with our customers by winning their trust through technical, product expertise, and business acumen to act as a trusted advisor
• Collaborate and share customer insights & feedback with internal Product and Engineering teams to influence and co-develop (AI) product innovations
• Create re-usable collateral, best practices & tools within the Global VE Center of Excellence and feed them back to the regional Value Engineering team
• Travel to the Japan region to meet clients in person to ensure the success of customer engagements

The qualifications you need:

We are looking for people who enjoy solving problems, think outside the box, and are not afraid to make and learn from mistakes. In particular, we seek “builders” who thrive in fast-paced environments and can rapidly develop solutions and pilots using our platform and AI technologies.

You have a bachelors and/or masters degree in (Industrial) Engineering, Computer Science, Data Science / Business Analytics, AI/ML, Mathematics or other related fields, as well as valuable work/internship experience. You’re curious, self-motivated, enjoy continuous learning, and you want to work in a lively environment characterized by high growth.

You are successful as a Value Engineer if you:

• Have a passion for technology, data and AI and the impact it can have on the world
• Have a hunger to learn new technologies and bring at least basic knowledge or hands-on experience in SQL and/or Python
• Any exposure to process mining principles and completion of Celonis "Rising Star" modules would be a welcome indicator of your eagerness to develop in this field
• Are able to think analytically and creatively, especially in applying technology solutions to core business problems
• Are focused on creating and adding value for customers
• Have an entrepreneurial mindset and the ability to multi-task, prioritize and execute
• Are able to build relationships with senior management and influence decision-makers
• Are confident to present to C-level executives and larger audiences
• Are willing to travel to the Japan region to meet clients in person
• Are an effective communicator and fluent in English and Japanese

Traditional market research is built around studies. This role is not.

At Super, we are building an AI-native research function where insight is not delivered in isolated projects, but generated continuously through systems. As a Staff Market Intelligence Researcher, your primary tool is AI—not as a shortcut, but as the infrastructure through which research happens.

You will design and operate research systems that produce high-quality consumer and market intelligence at a speed and scale that traditional agency models cannot match. Where others deliver one study in six weeks, you will deliver multiple validated insights in a fraction of the time—not by working harder, but by working differently.

This is a hands-on, high-impact individual contributor role. You will sit across Marketing Intelligence and Performance & Analytics, connecting consumer understanding directly to commercial outcomes, while building the workflows, tools, and infrastructure that make this possible.

What You’ll Be Doing

Building AI-Native Research Systems

You will move research from one-off studies to continuous intelligence systems.

• Design and run AI-moderated qualitative research at scale (e.g. interviews, concept testing, exploratory qual)
• Build repeatable workflows: survey pipelines, social listening synthesis, competitive monitoring agents
• Use LLMs to analyse large volumes of unstructured data (app reviews, transcripts, customer feedback)
• Implement validation frameworks to ensure AI outputs are reliable and decision-ready
• Optimise every workflow for speed, with most outputs delivered in days—not weeks

Delivering High-Throughput Insight

You will be the primary executor of research—not a coordinator.

• Own and triage research requests from across the marketing organisation
• Deliver insights within a two-week maximum turnaround (often faster for urgent needs)
• Translate findings into clear, actionable recommendations for marketing teams
• Run both synthetic-first validation and targeted human research where required

Owning Always-On Consumer & Brand Intelligence

You will build and maintain a live view of the consumer and brand.

• Operate a continuous brand intelligence system (pulse surveys, sentiment, social data)
• Maintain and evolve consumer segmentation frameworks
• Conduct deep qualitative research for complex or high-stakes questions
• Build and manage a structured, searchable insights library

Building Automated Competitive Intelligence

You will create a system that continuously monitors the market.

• Deploy automated agents to track competitor activity across ads, pricing, hiring, product, and media
• Synthesize signals into regular, decision-oriented competitive briefings
• Interpret what competitor activity means—not just what happened

Developing AI Research Infrastructure

You will build the foundation that enables scale.

• Own the AI research tool stack: evaluation, integration, and governance
• Create automated pipelines for intake, sampling, analysis, and delivery
• Establish best practices for responsible, rigorous AI-assisted research
• Stay ahead of emerging methodologies (synthetic research, agentic workflows, multimodal analysis)

Connecting Insight to Commercial Impact

You will bridge research with performance.

• Partner with analytics to explain performance trends through consumer understanding
• Feed insight into campaign development—not just post-campaign evaluation
• Contribute to leadership-level marketing intelligence reporting

What We Are Looking For

• 6–9 years in consumer insights or market research with strong mixed-methods expertise
• Proven experience building and running AI-augmented research workflows at scale
• Track record of operating in high-throughput, fast-paced environments
• Strong quantitative skills (survey design, sampling, analysis)
• Solid qualitative expertise (moderation, discussion design, synthesis)
• Experience with brand tracking or continuous measurement systems
• Commercial acumen—ability to connect insights to business outcomes
• Background in fast-moving digital consumer businesses (e.g. gaming, e-commerce, fintech)

Nice to Have

• Experience in gaming, sports betting, or high-LTV consumer sectors
• Familiarity with tools such as Brandwatch, Klue, Quantilop, Crayon, or similar
• Experience with AI research platforms (e.g. AI-moderated interviews, qualitative synthesis tools)
• Exposure to synthetic research methods (AI personas, simulated respondents)
• Coding experience (Python or R) for automation or analysis
• Multi-market or international research experience

Traditional market research is built around studies. This role is not.

At Super, we are building an AI-native research function where insight is not delivered in isolated projects, but generated continuously through systems. As a Staff Market Intelligence Researcher, your primary tool is AI—not as a shortcut, but as the infrastructure through which research happens.

You will design and operate research systems that produce high-quality consumer and market intelligence at a speed and scale that traditional agency models cannot match. Where others deliver one study in six weeks, you will deliver multiple validated insights in a fraction of the time—not by working harder, but by working differently.

This is a hands-on, high-impact individual contributor role. You will sit across Marketing Intelligence and Performance & Analytics, connecting consumer understanding directly to commercial outcomes, while building the workflows, tools, and infrastructure that make this possible.

What You’ll Be Doing

Building AI-Native Research Systems

You will move research from one-off studies to continuous intelligence systems.

• Design and run AI-moderated qualitative research at scale (e.g. interviews, concept testing, exploratory qual)
• Build repeatable workflows: survey pipelines, social listening synthesis, competitive monitoring agents
• Use LLMs to analyse large volumes of unstructured data (app reviews, transcripts, customer feedback)
• Implement validation frameworks to ensure AI outputs are reliable and decision-ready
• Optimise every workflow for speed, with most outputs delivered in days—not weeks

Delivering High-Throughput Insight

You will be the primary executor of research—not a coordinator.

• Own and triage research requests from across the marketing organisation
• Deliver insights within a two-week maximum turnaround (often faster for urgent needs)
• Translate findings into clear, actionable recommendations for marketing teams
• Run both synthetic-first validation and targeted human research where required

Owning Always-On Consumer & Brand Intelligence

You will build and maintain a live view of the consumer and brand.

• Operate a continuous brand intelligence system (pulse surveys, sentiment, social data)
• Maintain and evolve consumer segmentation frameworks
• Conduct deep qualitative research for complex or high-stakes questions
• Build and manage a structured, searchable insights library

Building Automated Competitive Intelligence

You will create a system that continuously monitors the market.

• Deploy automated agents to track competitor activity across ads, pricing, hiring, product, and media
• Synthesize signals into regular, decision-oriented competitive briefings
• Interpret what competitor activity means—not just what happened

Developing AI Research Infrastructure

You will build the foundation that enables scale.

• Own the AI research tool stack: evaluation, integration, and governance
• Create automated pipelines for intake, sampling, analysis, and delivery
• Establish best practices for responsible, rigorous AI-assisted research
• Stay ahead of emerging methodologies (synthetic research, agentic workflows, multimodal analysis)

Connecting Insight to Commercial Impact

You will bridge research with performance.

• Partner with analytics to explain performance trends through consumer understanding
• Feed insight into campaign development—not just post-campaign evaluation
• Contribute to leadership-level marketing intelligence reporting

What We Are Looking For

• 6–9 years in consumer insights or market research with strong mixed-methods expertise
• Proven experience building and running AI-augmented research workflows at scale
• Track record of operating in high-throughput, fast-paced environments
• Strong quantitative skills (survey design, sampling, analysis)
• Solid qualitative expertise (moderation, discussion design, synthesis)
• Experience with brand tracking or continuous measurement systems
• Commercial acumen—ability to connect insights to business outcomes
• Background in fast-moving digital consumer businesses (e.g. gaming, e-commerce, fintech)

Nice to Have

• Experience in gaming, sports betting, or high-LTV consumer sectors
• Familiarity with tools such as Brandwatch, Klue, Quantilop, Crayon, or similar
• Experience with AI research platforms (e.g. AI-moderated interviews, qualitative synthesis tools)
• Exposure to synthetic research methods (AI personas, simulated respondents)
• Coding experience (Python or R) for automation or analysis
• Multi-market or international research experience

Traditional market research is built around studies. This role is not.

At Super, we are building an AI-native research function where insight is not delivered in isolated projects, but generated continuously through systems. As a Staff Market Intelligence Researcher, your primary tool is AI—not as a shortcut, but as the infrastructure through which research happens.

You will design and operate research systems that produce high-quality consumer and market intelligence at a speed and scale that traditional agency models cannot match. Where others deliver one study in six weeks, you will deliver multiple validated insights in a fraction of the time—not by working harder, but by working differently.

This is a hands-on, high-impact individual contributor role. You will sit across Marketing Intelligence and Performance & Analytics, connecting consumer understanding directly to commercial outcomes, while building the workflows, tools, and infrastructure that make this possible.

What You’ll Be Doing

Building AI-Native Research Systems

You will move research from one-off studies to continuous intelligence systems.

• Design and run AI-moderated qualitative research at scale (e.g. interviews, concept testing, exploratory qual)
• Build repeatable workflows: survey pipelines, social listening synthesis, competitive monitoring agents
• Use LLMs to analyse large volumes of unstructured data (app reviews, transcripts, customer feedback)
• Implement validation frameworks to ensure AI outputs are reliable and decision-ready
• Optimise every workflow for speed, with most outputs delivered in days—not weeks

Delivering High-Throughput Insight

You will be the primary executor of research—not a coordinator.

• Own and triage research requests from across the marketing organisation
• Deliver insights within a two-week maximum turnaround (often faster for urgent needs)
• Translate findings into clear, actionable recommendations for marketing teams
• Run both synthetic-first validation and targeted human research where required

Owning Always-On Consumer & Brand Intelligence

You will build and maintain a live view of the consumer and brand.

• Operate a continuous brand intelligence system (pulse surveys, sentiment, social data)
• Maintain and evolve consumer segmentation frameworks
• Conduct deep qualitative research for complex or high-stakes questions
• Build and manage a structured, searchable insights library

Building Automated Competitive Intelligence

You will create a system that continuously monitors the market.

• Deploy automated agents to track competitor activity across ads, pricing, hiring, product, and media
• Synthesize signals into regular, decision-oriented competitive briefings
• Interpret what competitor activity means—not just what happened

Developing AI Research Infrastructure

You will build the foundation that enables scale.

• Own the AI research tool stack: evaluation, integration, and governance
• Create automated pipelines for intake, sampling, analysis, and delivery
• Establish best practices for responsible, rigorous AI-assisted research
• Stay ahead of emerging methodologies (synthetic research, agentic workflows, multimodal analysis)

Connecting Insight to Commercial Impact

You will bridge research with performance.

• Partner with analytics to explain performance trends through consumer understanding
• Feed insight into campaign development—not just post-campaign evaluation
• Contribute to leadership-level marketing intelligence reporting

What We Are Looking For

• 6–9 years in consumer insights or market research with strong mixed-methods expertise
• Proven experience building and running AI-augmented research workflows at scale
• Track record of operating in high-throughput, fast-paced environments
• Strong quantitative skills (survey design, sampling, analysis)
• Solid qualitative expertise (moderation, discussion design, synthesis)
• Experience with brand tracking or continuous measurement systems
• Commercial acumen—ability to connect insights to business outcomes
• Background in fast-moving digital consumer businesses (e.g. gaming, e-commerce, fintech)

Nice to Have

• Experience in gaming, sports betting, or high-LTV consumer sectors
• Familiarity with tools such as Brandwatch, Klue, Quantilop, Crayon, or similar
• Experience with AI research platforms (e.g. AI-moderated interviews, qualitative synthesis tools)
• Exposure to synthetic research methods (AI personas, simulated respondents)
• Coding experience (Python or R) for automation or analysis
• Multi-market or international research experience

Location: Come and join us either in Barcelona, Berlin or Hamburg!

Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive.

We are looking for an experienced CRM Manager to join our diverse and driven team. In this role, you’ll play a key part in achieving ambitious growth targets by engaging and retaining our global user base through impactful, data-driven CRM strategies.

YOUR DAILY ADVENTURES WILL INCLUDE:

• As part of the central CRM team, you will: design and execute CRM strategies that activate, engage and retain users across our 9 markets
• Own end-to-end campaign delivery, from ideation to execution, across multiple channels
• Advise on global and local initiatives, ensuring the right message reaches the right user at the right time
• Drive experimentation and optimisation, setting up A/B tests, analysing results, and turning insights into actionable improvements
• Lead cross-functional projects, such as dashboard creation, lifecycle segmentation, process optimisation, and experimentation frameworks
• Manage and optimise the campaign calendar, aligning communications with lifecycle stages and business priorities
• Act as a the main point of contact for your area of CRM, collaborating closely with Marketing, Product and local teams

TO BE SUCCESSFUL IN THIS ROLE:

• 3+ years of experience in CRM, lifecycle marketing, or customer engagement, ideally at a regional or global level
• Hands-on experience with CRM platforms (experience with Braze is a strong plus)
• Strong project management and stakeholder management skills, with the ability to influence across teams and markets
• Ability to prioritize and manage multiple initiatives in a fast-paced environment
• A data-driven mindset, using both quantitative and qualitative insights to inform decisions
• Excellent communication skills in English (other European languages are a plus)

BENEFITS & PERKS IN A NUTSHELL:

DIVERSITY, EQUITY & INCLUSION:

Freenow is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age.
We want you to grow and evolve, bring your true self to work. 

ABOUT FREENOW:

Freenow by Lyft empowers smarter mobility decisions, helping people to move freely and cities to thrive. Through our multi-mobility app, we feature broad options for everyone across 9 European markets and over 180 cities. Millions of passengers can access services including taxis, private hire vehicles, carsharing, car rental, e-scooters, e-bikes, e-mopeds, and public transport within a single app. 

In July 2025 Freenow was acquired by Lyft, a global mobility platform, which connects riders and drivers for billions of rides across North America and Europe. Together, Freenow and Lyft are creating a more caring and connected world, with transportation for everyone. We are a global, diverse, highly motivated, and collaborative team that strives for excellence and likes to have fun. Ready for your next ride?

Position Overview:

We're looking for an experienced Senior Performance Manager to help us build the best Liveops and Monetization strategy in the game. 

Responsibilities

• Create the Live-ops vision, develop and execute daily/weekly promotional plans that includes campaign design, creative development of all communication channels, operational launch of the campaign, QA at launch, monitoring and analyzing its results and reacting accordingly.
• Proven track record of working as a Liveops Manager in a game with a strong liveops cadence
• Analyze current monetization strategy including pricing, segmentation, what value we give to users and define the right strategy for the game
• Frame hypotheses, design A/B tests and translate insights into high-impact product decisions, going from idea to live experiments
• Strong quantitative and analytical skills with ability to monitor, analyze key performance metrics (average revenue per user, conversion, funnel, churn) and drive metrics-driven decision making
• Develop best practices to drive operational excellence in a live-ops team.
• Coordinate with features team to ensure live-ops needs are communicated and planned while new features are being developed

 What We’re Looking For

• Proven track record of working as a Liveops Manager in a game with a strong liveops cadence
• Worked in a volatile and fast-paced environment and not afraid to adapt to changes 
• Good communication skills and experience aligning with stakeholders

What's in it for you as a Socialpointer?

• Hybrid working model: we ask you to come to our Barcelona office at least 2 days per week
• A generous 25 days of annual leave, plus public holidays
• Private medical insurance for you and your family to keep your health bar full
• Disability and life insurance
• Choose from the latest iOS or Android device when you join (phone or tablet)
• Free language lessons in English, Spanish and Catalan
• Spotify Premium to add the perfect soundtrack to your adventure
• Legendary social events and parties to let off some steam
• Take-Two Interactive employee stock purchase plan (eligibility criteria applies)
• Professional development budget for skills training

Onsite perks include:

• State of the art gym facilities
• Free breakfast, lunch, and specialty coffee
• Onsite physiotherapist and hairdresser (no wallet needed!)

The list goes on and on… so get your game on and apply now! Click “Apply” to level up and submit your application in English.

Position Overview

We are looking to welcome yet another brilliant Senior Marketing Data Analyst into our Marketing Analytics team.

As a Senior Data Analyst, you’ll be responsible for designing and driving high-impact analytics solutions, from developing advanced statistical frameworks to evaluate marketing performance, to building data pipelines that integrate third-party sources, to creating interactive tools that empower partner teams. These are just a few examples of the initiatives you’ll help lead and deliver end-to-end, playing a key role in shaping the technical direction of our analytics efforts. The demands on this team are constantly evolving with the needs of Socialpoint’s and Zynga’s dynamic marketing teams, so it is important that you be able to adapt and utilize your time efficiently.

What you'll do:

• Partner closely with marketing and cross-functional teams to identify growth opportunities, improve efficiency, and shape strategic initiatives.
• Lead analytical deep dives to surface insights and translate them into actionable recommendations for senior stakeholders.
• Visualize and communicate analytical findings clearly, enabling data-driven decision-making across the organization.
• Apply statistical methodologies to evaluate performance and account for uncertainties in major initiatives.
• Proactively explore and prototype opportunities using AI-driven automation to streamline investigations and improve decision-making.

What You Bring: 

• Demonstrated experience with some or all of the following: predictive modeling, statistics, experimental design, optimization, data visualization
• Understanding of marketing metrics and KPIs, with experience in campaign optimization, Lifetime Value (LTV) modeling, and incrementality analysis
• Proficiency in SQL and Python with hands-on experience in Redshift, Databricks, PySpark, and Airflow
• Strong analytical and problem-solving skills with the ability to translate ambiguous questions into data-driven insights
• Strong communication skills — you can explain complex data in simple, actionable terms
• Familiarity with AI/ML concepts or experience in automating recurring analytics workflows is a plus
• A team player, you establish effective relationships to work with others for the win
• Proven work experience in data analytics or data science roles 
• BS in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters, MBA or PhD preferred

What's in it for you as a Socialpointer?

• Hybrid working model: we ask you to come to our Barcelona office at least 2 days per week
• A generous 25 days of annual leave, plus public holidays
• Private medical insurance for you and your family to keep your health bar full
• Disability and life insurance
• Choose from the latest iOS or Android device when you join (phone or tablet)
• Free language lessons in English, Spanish and Catalan
• Spotify Premium to add the perfect soundtrack to your adventure
• Legendary social events and parties to let off some steam
• Take-Two Interactive employee stock purchase plan (eligibility criteria applies)
• Professional development budget for skills training

Onsite perks include:

• State of the art gym facilities
• Free breakfast, lunch, and specialty coffee
• Onsite physiotherapist and hairdresser (no wallet needed!)

The list goes on and on… so get your game on and apply now! Click “Apply” to level up and submit your application in English.

Do you have a passion for uncovering hidden stories in data, driving data-driven strategies, and delivering impactful insights? Do you love understanding human behaviour, turning analysis into strategic recommendations, and helping brands build more meaningful customer relationships? Are you seeking an exciting role that balances analytical depth with client collaboration and a consulting mindset? Then you might be the Experience & Optimisation Consultant we are looking for!

What will your day look like?

As an Experience & Optimisation Consultant, you will:

• Translate Business Challenges into Strategy – Partner with clients and client account leads to understand their needs & challenges to define a structured approach to deliver insights and optimisation opportunities that drive real impact.
• Tell Compelling Data Stories – Present insights to stakeholders with clarity and confidence, using visualisation and storytelling to turn analysis into strategic recommendations.
• Testing & Optimisation – Help define testing hypotheses, measurement strategies, and continuous improvement opportunities that evolve with client needs.
• Collaborate Across Functions – Work seamlessly with CX strategists, data engineers, technical leads, and operational teams to ensure audience insights are embedded throughout campaign planning and execution.
• Support Research & Discovery – Support qualitative and quantitative research initiatives to uncover customer motivations, behaviours, and engagement opportunities that inform strategic recommendations.
• Support Segmentation Strategy Initiatives – Evaluate client first-party data sources (CRM engagement, loyalty) and performance metrics to identify segmentation opportunities, personalization potential, and areas for data maturity and audience growth.

Who are you going to work with?

You'll be a key member of our Insight & Optimization team — a group of naturally curious problem-solvers obsessed with humanizing data and solving client challenges. You'll typically be working closely with research leads, data specialists, and strategy partners. Your role balances analytical depth with client collaboration, presenting insights as a trusted subject matter expert while contributing to strategic workshops and planning sessions. You'll also be part of the broader VML MAP network—a world-leading Centre of Excellence focused on helping brands become truly customer-centric through data, personalization, and marketing technology.

What do you bring to the table?

As a person, you are an outgoing and collaborative team player with strong interpersonal skills and a self-starter mindset with critical thinking skills. You enjoy solving complex business challenges in a structured and analytical way, with a strong attention to detail. You are comfortable supporting the analysis and reporting both qualitative and quantitative customer data and translating it into clear insights and recommendations supported by a compelling storyline.

In addition, you have:

Experience & Background:

• 4+ Experience in customer insight strategy or a related field, (client facing marketing agency or consultancy preferred)
• Proven experience in delivering actionable insights that inform customer experience strategy and recommendations to improve key performance metrics (in marketing or customer experience preferred)
• Strong background in qualitative and/or quantitative customer insight planning, analysis and reporting
• Experience with experimentation supporting the design and analysis of A/B and multivariate tests to optimize performance and customer engagement is strongly desired
• Familiarity with CRM marketing and loyalty programs preferred (candidates with strong relevant capabilities are encouraged to apply)
• Familiarity with customer segmentation strategy and campaign audience planning preferred (candidates with strong relevant capabilities are encouraged to apply)

Skills & Capabilities:

• Strong storytelling skills, able to translate data into compelling, action-oriented narratives for senior stakeholders, using clear structure, engaging language and well-designed visuals.
• Consulting mindset – comfortable with workshop planning & facilitation, roadmap development, and structured problem-solving
• Strong analytical skills with the ability to synthesise multiple sources of data into strategic insight.
• Confident problem solving skills, able to turn ambiguous or open-ended tasks into clear and structured questions.
• Excellent written and verbal communication; able to present executive-ready insights
• Proficiency with MS Office (Word, Excel, PowerPoint) and using data visualization tools
• Passion for understanding human behaviour and consumer psychology

Education:

• B.S. or B.A. required; in marketing, statistics, behavioural economics, psychology or related field and Advanced degree (M.A., M.S.,) (nice to have)

A leader in personalized customer experiences

VML MAP is a world-leading Centre of Excellence helping businesses humanize the relationship between brands and customers through hyper-personalized experiences, marketing automation, and customer data strategy. With the brain of a consultancy, the heart of an agency, and the power of technology and data, we partner with some of the world's most admired brands on their transformation journey to becoming truly customer-centric.

A global network

We are part of the global VML network—150+ offices across 60+ markets with 30,000+ employees representing 55+ nationalities. Our culture values connection, belonging, and the power of differences. We offer a hybrid work model that balances in-office collaboration with remote flexibility.

Do you have a passion for uncovering hidden stories in data, driving data-driven strategies, and delivering impactful insights? Do you love understanding human behaviour, turning analysis into strategic recommendations, and helping brands build more meaningful customer relationships? Are you seeking an exciting role that balances analytical depth with client collaboration and a consulting mindset? Then you might be the Experience & Optimisation Consultant we are looking for!

What will your day look like?

As an Experience & Optimisation Consultant, you will:

• Translate Business Challenges into Strategy – Partner with clients and client account leads to understand their needs & challenges to define a structured approach to deliver insights and optimisation opportunities that drive real impact.
• Tell Compelling Data Stories – Present insights to stakeholders with clarity and confidence, using visualisation and storytelling to turn analysis into strategic recommendations.
• Testing & Optimisation – Help define testing hypotheses, measurement strategies, and continuous improvement opportunities that evolve with client needs.
• Collaborate Across Functions – Work seamlessly with CX strategists, data engineers, technical leads, and operational teams to ensure audience insights are embedded throughout campaign planning and execution.
• Support Research & Discovery – Support qualitative and quantitative research initiatives to uncover customer motivations, behaviours, and engagement opportunities that inform strategic recommendations.
• Support Segmentation Strategy Initiatives – Evaluate client first-party data sources (CRM engagement, loyalty) and performance metrics to identify segmentation opportunities, personalization potential, and areas for data maturity and audience growth.

Who are you going to work with?

You'll be a key member of our Insight & Optimization team — a group of naturally curious problem-solvers obsessed with humanizing data and solving client challenges. You'll typically be working closely with research leads, data specialists, and strategy partners. Your role balances analytical depth with client collaboration, presenting insights as a trusted subject matter expert while contributing to strategic workshops and planning sessions. You'll also be part of the broader VML MAP network—a world-leading Centre of Excellence focused on helping brands become truly customer-centric through data, personalization, and marketing technology.

What do you bring to the table?

As a person, you are an outgoing and collaborative team player with strong interpersonal skills and a self-starter mindset with critical thinking skills. You enjoy solving complex business challenges in a structured and analytical way, with a strong attention to detail. You are comfortable supporting the analysis and reporting both qualitative and quantitative customer data and translating it into clear insights and recommendations supported by a compelling storyline.

In addition, you have:

Experience & Background:

• 4+ Experience in customer insight strategy or a related field, (client facing marketing agency or consultancy preferred)
• Proven experience in delivering actionable insights that inform customer experience strategy and recommendations to improve key performance metrics (in marketing or customer experience preferred)
• Strong background in qualitative and/or quantitative customer insight planning, analysis and reporting
• Experience with experimentation supporting the design and analysis of A/B and multivariate tests to optimize performance and customer engagement is strongly desired
• Familiarity with CRM marketing and loyalty programs preferred (candidates with strong relevant capabilities are encouraged to apply)
• Familiarity with customer segmentation strategy and campaign audience planning preferred (candidates with strong relevant capabilities are encouraged to apply)

Skills & Capabilities:

• Strong storytelling skills, able to translate data into compelling, action-oriented narratives for senior stakeholders, using clear structure, engaging language and well-designed visuals.
• Consulting mindset – comfortable with workshop planning & facilitation, roadmap development, and structured problem-solving
• Strong analytical skills with the ability to synthesise multiple sources of data into strategic insight.
• Confident problem solving skills, able to turn ambiguous or open-ended tasks into clear and structured questions.
• Excellent written and verbal communication; able to present executive-ready insights
• Proficiency with MS Office (Word, Excel, PowerPoint) and using data visualization tools
• Passion for understanding human behaviour and consumer psychology

Education:

• B.S. or B.A. required; in marketing, statistics, behavioural economics, psychology or related field and Advanced degree (M.A., M.S.,) (nice to have)

A leader in personalized customer experiences

VML MAP is a world-leading Centre of Excellence helping businesses humanize the relationship between brands and customers through hyper-personalized experiences, marketing automation, and customer data strategy. With the brain of a consultancy, the heart of an agency, and the power of technology and data, we partner with some of the world's most admired brands on their transformation journey to becoming truly customer-centric.

A global network

We are part of the global VML network—150+ offices across 60+ markets with 30,000+ employees representing 55+ nationalities. Our culture values connection, belonging, and the power of differences. We offer a hybrid work model that balances in-office collaboration with remote flexibility.

Do you have a passion for uncovering hidden stories in data, driving data-driven strategies, and delivering impactful insights? Do you love understanding human behaviour, turning analysis into strategic recommendations, and helping brands build more meaningful customer relationships? Are you seeking an exciting role that balances analytical depth with client collaboration and a consulting mindset? Then you might be the Experience & Optimisation Consultant we are looking for!

What will your day look like?

As an Experience & Optimisation Consultant, you will:

• Translate Business Challenges into Strategy – Partner with clients and client account leads to understand their needs & challenges to define a structured approach to deliver insights and optimisation opportunities that drive real impact.
• Tell Compelling Data Stories – Present insights to stakeholders with clarity and confidence, using visualisation and storytelling to turn analysis into strategic recommendations.
• Testing & Optimisation – Help define testing hypotheses, measurement strategies, and continuous improvement opportunities that evolve with client needs.
• Collaborate Across Functions – Work seamlessly with CX strategists, data engineers, technical leads, and operational teams to ensure audience insights are embedded throughout campaign planning and execution.
• Support Research & Discovery – Support qualitative and quantitative research initiatives to uncover customer motivations, behaviours, and engagement opportunities that inform strategic recommendations.
• Support Segmentation Strategy Initiatives – Evaluate client first-party data sources (CRM engagement, loyalty) and performance metrics to identify segmentation opportunities, personalization potential, and areas for data maturity and audience growth.

Who are you going to work with?

You'll be a key member of our Insight & Optimization team — a group of naturally curious problem-solvers obsessed with humanizing data and solving client challenges. You'll typically be working closely with research leads, data specialists, and strategy partners. Your role balances analytical depth with client collaboration, presenting insights as a trusted subject matter expert while contributing to strategic workshops and planning sessions. You'll also be part of the broader VML MAP network—a world-leading Centre of Excellence focused on helping brands become truly customer-centric through data, personalization, and marketing technology.

What do you bring to the table?

As a person, you are an outgoing and collaborative team player with strong interpersonal skills and a self-starter mindset with critical thinking skills. You enjoy solving complex business challenges in a structured and analytical way, with a strong attention to detail. You are comfortable supporting the analysis and reporting both qualitative and quantitative customer data and translating it into clear insights and recommendations supported by a compelling storyline.

In addition, you have:

Experience & Background:

• 4+ Experience in customer insight strategy or a related field, (client facing marketing agency or consultancy preferred)
• Proven experience in delivering actionable insights that inform customer experience strategy and recommendations to improve key performance metrics (in marketing or customer experience preferred)
• Strong background in qualitative and/or quantitative customer insight planning, analysis and reporting
• Experience with experimentation supporting the design and analysis of A/B and multivariate tests to optimize performance and customer engagement is strongly desired
• Familiarity with CRM marketing and loyalty programs preferred (candidates with strong relevant capabilities are encouraged to apply)
• Familiarity with customer segmentation strategy and campaign audience planning preferred (candidates with strong relevant capabilities are encouraged to apply)

Skills & Capabilities:

• Strong storytelling skills, able to translate data into compelling, action-oriented narratives for senior stakeholders, using clear structure, engaging language and well-designed visuals.
• Consulting mindset – comfortable with workshop planning & facilitation, roadmap development, and structured problem-solving
• Strong analytical skills with the ability to synthesise multiple sources of data into strategic insight.
• Confident problem solving skills, able to turn ambiguous or open-ended tasks into clear and structured questions.
• Excellent written and verbal communication; able to present executive-ready insights
• Proficiency with MS Office (Word, Excel, PowerPoint) and using data visualization tools
• Passion for understanding human behaviour and consumer psychology

Education:

• B.S. or B.A. required; in marketing, statistics, behavioural economics, psychology or related field and Advanced degree (M.A., M.S.,) (nice to have)

A leader in personalized customer experiences

VML MAP is a world-leading Centre of Excellence helping businesses humanize the relationship between brands and customers through hyper-personalized experiences, marketing automation, and customer data strategy. With the brain of a consultancy, the heart of an agency, and the power of technology and data, we partner with some of the world's most admired brands on their transformation journey to becoming truly customer-centric.

A global network

We are part of the global VML network—150+ offices across 60+ markets with 30,000+ employees representing 55+ nationalities. Our culture values connection, belonging, and the power of differences. We offer a hybrid work model that balances in-office collaboration with remote flexibility.

Position Overview:

We are seeking a highly skilled and experienced Principal Game Economist to join our team in Barcelona. Reporting directly to the Director of Economy and working closely alongside another Lead Economist, you will operate as a centralized expert resource across three different studios.

Unlike traditional game economy roles focused on a single title, you will lead economic strategy and systems design on a project basis, supporting various games across our extended portfolio. While this is a high-level Individual Contributor role with no direct reports, your leadership impact will be massive. You will analyze each game, identify key opportunities and challenges, and build sustainable solutions while elevating our internal economy practices. You will establish best practices, develop robust frameworks, and mentor embedded game teams so they can eventually own and manage their economies independently.

This role is highly strategic and deeply hands-on: blending advanced research, complex system design, cross-studio collaboration, and technical mentorship.

What You'll Do:

You aren't just working on one game; you are a key economic architect across three studios. You will step into different projects to diagnose economic health, design robust pricing and reward systems, and empower local teams to execute your designs.

• Drive Cross-Studio strategy: Serve as the shared expert supporting multiple games across distinct studios. You will take ownership of the economic design phase for targeted projects, identifying gaps and implementing tailored solutions to drive engagement and business performance.

• Collaborate at the highest level: Work in tandem with another Lead Economist and report directly to the Director of Economy to align on portfolio-wide strategies, tackle complex systemic challenges, and ensure consistent design standards across all studios.

• Mentor and Empower teams: Act as a technical leader and mentor for game-level economy designers and PMs. While you won't have direct reports, you will lead through influence, training internal teams on advanced economic frameworks and ensuring they have the tools to manage their game's economy long-term.

• Design and simulate: Leverage your quantitative expertise to build complex predictive models, run simulations, and design A/B tests that validate your design decisions and forecast the impact of new features.

• Bridge the gap globally: Drive cross-functional efforts with Product Managers, Data Scientists, and Engineers across different teams and geographies, acting as a technical bridge to ensure seamless execution from concept to live ops.

What You Bring:

• Economic Mastery: A Bachelor's or Master's degree in Economics, Math, Statistics, or a related quantitative field, paired with a proven track record of designing and optimizing complex game economies at a senior or lead level.

• Technical Proficiency: Advanced analytical skills with a "must-have" mastery of Excel. Experience with SQL, R, or Python is a significant advantage for deep-dive research and modeling.

• Leadership Through Influence: Demonstrated ability to drive strategic initiatives and upskill junior or mid-level talent across multiple studios or departments without formal reporting lines. You excel at matrix leadership and cross-functional collaboration.

• F2P Passion: A deep-seated interest in Free-to-Play mechanics and a sophisticated understanding of how to balance player experience with sustainable monetization.

Bonus Points:

• Additional background in Monetization strategy to complement your economic expertise.

• Experience working on large-scale online, social, or multiplayer games.

What's in it for you as a Socialpointer?

• Hybrid working model: we ask you to come to our Barcelona office at least 2 days per week

• A generous 25 days of annual leave, plus public holidays

• Private medical insurance for you and your family to keep your health bar full

• Disability and life insurance

• Choose from the latest iOS or Android device when you join (phone or tablet)

• Free language lessons in English, Spanish and Catalan

• Spotify Premium to add the perfect soundtrack to your adventure

• Legendary social events and parties to let off some steam

• Take-Two Interactive employee stock purchase plan (eligibility criteria applies)

• Professional development budget for skills training

Onsite perks include:

• State-of-the-art gym facilities

• Free breakfast, lunch, and specialty coffee

• Onsite physiotherapist and hairdresser (no wallet needed!)

The list goes on and on… so get your game on and apply now! Click “Apply” to level up and submit your application in English.

Scopely is looking for a Senior/ Data Analyst to join our Strategic Analytics team in Barcelona on a hybrid basis!

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people around the world daily.

The Strategic Analytics team supports the Scopely portfolio by providing insights, reporting, knowledge sharing, KPI frameworks, and scalable data products that leverage advanced analytics and AI to strengthen the long-term health of each game.

What You Will Do

As a Data Analyst in the Strategic Analytics team, you will play a central role in helping game teams across our portfolio drive long-term game health. You will leverage data to uncover player behavior insights, shape KPIs, and develop scalable reporting and knowledge-sharing tools. Your work will empower cross-functional stakeholders to make more informed decisions and align strategy across diverse game genres.

• Analyze large-scale, complex datasets representing the behavior of millions of online and mobile game players to address strategic and operational business questions
• Translate complex analyses into clear, actionable recommendations that drive business decisions
• Provide insights about the health of our portfolio, both within and across genres, to drive business decisions across all key functions
• Contribute to the development of jaw-dropping data products to more effectively surface the group’s findings
• Define KPI frameworks and lead advanced analytical deep-dives to uncover actionable insights, while building scalable data products that help game teams improve and optimize LTV and loyalty.
• Develop cross-portfolio analysis and reporting products that enable scalable, self-serve access to insights, drive strategic alignment across the company, and ensure data influences decisions at all levels
• Leverage AI tools and techniques to accelerate analysis, automate repetitive workflows, scale insight generation, and enhance decision-making across the portfolio
• Proactively identify opportunities to replace manual analysis with AI-driven or automated solutions, improving efficiency and depth of insights
• Partner with Data Science and Data Engineering teams to develop and integrate advanced analytics and AI solutions into scalable data products

What You Will Need

• Intellectual curiosity and analytical rigor, with a strong drive to leverage emerging technologies (including AI) to innovate and improve analytical workflows
• 3 or more years of experience as a Data Analyst, preferably at a top-tier institution or firm in an analysis, scientific, research, or consulting role
• Strong presentation and Storytelling skills; ability to communicate complex results throughout an organization
• Critical thinking and problem-solving capabilities
• Working knowledge of SQL and comfort working in large data sets – exposure to BigQuery is a plus
• Working Knowledge of visualization tools like Looker, Tableau, or Qlikview
• Python experience for data analysis 
• Strong interest in leveraging AI as a co-pilot for analytics, with the ability to critically assess and validate AI-generated outputs
• Advanced knowledge of Excel/Google Spreadsheets
• B.S. (graduate degree a plus) from a top institution in a quantitative or scientific field (Math/Stats, Economics, CS, Engineering, Physics, or similar)
• A love or strong desire to work with mobile games

Bonus Points

• Prior experience working in the gaming industry is a plus, but not required

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state, and local law.

This role will have access to sensitive and/or confidential employee or customer personally identifiable information (PII) and/or Company financial information, and therefore will be subject to background checks upon receiving a conditional offer of employment.    

Scopely is looking for a Lead/Manager Economy and Systems Designer to join the Looney Tunes game team. The position can be based in India (preferably Bangalore) or Tel Aviv, Israel or Barcelona, Spain.

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.

The Looney Tunes: World of Mayhem team embraces the "One Team, One Dream" culture every day. Everybody is empowered to work with a high level of autonomy and ownership to deliver the best possible player experience.

What You Will Do

As the Lead/Manager Economy & Systems Designer, you will be responsible for shaping the economy and gameplay systems of Looney Tunes: World of Mayhem. You will ensure a balance between engaging progression, sustainable monetization, and deep, satisfying systems that keep players returning over a long lifecycle. This is a senior role requiring strong collaboration, systems thinking, and a deep understanding of the mobile F2P space.

• Economy & Progression Design

• Design and optimize in-game economies - including currencies, pricing models, existing systems, upcoming features, and progression paths - from early player onboarding through elder player end-game - to drive long-term engagement and maximize revenue
• Conduct segmentation analysis and craft economy models tailored to different user archetypes and LTV tiers
• ​​Define economy KPIs and build mathematical models & simulations to monitor, predict and validate the impact of features on game balance and player behavior

• Game Design Leadership
  • Own feature development from pitch to live operation
  • Gain complete understanding and ownership of back-end Admin tool for game configurations
  • Design, implement and balance new features and systems: Combat systems, Player progression, Game Modes and feature loops
  • Lead the design of tools and workflows that enable scalable live operations and event-driven gameplay
  • Generate clear feature documentation, user flows, diagrams, wireframes, and/or prototypes for new features and systems
  • Analyze game data and player behavior to iterate and evolve live features
    
    
• Collaboration & Strategy
  • Collaborate with the product team, Engineers, Artists & LiveOps to design the optimal daily experience for our players, and deliver impactful features  
  • Mentor and support junior designers on economy and systems design best practices
  • Influence the product roadmap with innovative, data-informed design proposals

What We’re Looking For

• 5+ years of experience in mobile F2P game design with a focus on economy and systems design
• Demonstrated expertise in crafting game features, systems, and economies on at least one shipped live-operated game, preferably RPG or strategy-based
• Experience modelling/maintaining complex Economies (MMO, Strategy-MMO, RPG)
• Ability to simulate and prototype progression systems in Excel, and familiarity with Unity
• Strong game balance instincts paired with quantitative & analytical decision-making
• Bachelor’s degree in Game Design, Economics, Statistics, or related field

Bonus Points

• Knowledge of live-ops tooling and event planning systems
• Familiarity with Looney Tunes IP and a passion for character-based RPGs
• Experience mentoring or leading small design teams

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

DESCRIPTION

As a science-driven healthcare analytics company with a rapidly growing customer base, Datavant is looking for an expert R programmer with experience analyzing real world data. 

As an Associate Director / Director in the Research+Analytics team, you would be part of a small team of analytic programmers executing analyses for client projects and may contribute to the development of software product features. 

This position will report to the Senior Director of Biostatistics, Programming Team Lead.

CORE RESPONSIBILITIES 

• Autonomously conduct programming tasks, including data management for complex longitudinal analyses and use of R, SQL, and Apache Spark
• Aid in the interpretation of programmed results (e.g., relevant sections of reports or manuscripts)
• Aid in the design and conduct of robust real-world research, including protocol and statistical analysis plan development and ensuring appropriateness of study design, sample size and statistical methodologies proposed
• Mentor early-career programmers 
• May be asked to provide input on the appropriate application and prioritization of analytic product features and support their testing in collaboration with the Product Management and Engineering teams, based on use cases and input from clients and internal scientists 

QUALIFICATIONS

Required Qualifications

• Advanced degree in biostatistics, statistics, epidemiology, or related quantitative field 
• PhD with at least 2 years of relevant experience or Masters with at least 5 years of relevant experience
• Experience processing raw real-world data files (especially from secondary sources) to obtain analysis-ready datasets, such as engaging with data from multiple tables, stringing data to create drug durations, applying complex algorithms (for example, creating pregnancy episodes), etc.
• Strong programming experience in R and SQL
• Experience working with Databricks and Apache Spark for large-scale data processing
• Proficiency in Github use
• Excellent oral and written communication skills
• Ability to self-motivate
• Collaborative, flexible, and solution-oriented

Preferred Qualifications

• Experience in the conduct of descriptive, prediction, and causal inference observational/epidemiological studies using secondary sources of real-world data, such as administrative claims, electronic health records, and disease registries.  Experience in the clinical trials space may meet this requirement 
• Experience with AI coding tools

Perks of joining Datavant in Barcelona

• 25 vacation days
• Daily in-office lunch stipend (and a fully stocked kitchen)  
• Hybrid work model: 2 days/ week in our office in Gracia
• Commitment to professional development opportunities 
• Employee-led initiatives including annual company-wide innovation day & DEI resource groups 
• Comprehensive private health coverage w/ out-of-network reimbursements options 
• Flexible remuneration with Cobee (Restaurant, Transportation, Nursery)
• Peer & company recognition programs
• Monthly educational lunch & learns

The Challenge

We’re looking for a Solution Engineering/Consultant Intern that will report to the CoE RFX Lead. In this role, you will provide strategic advice, build cutting-edge tools, and formulate best practices for our teams, ultimately creating a competitive edge over our competition in the market. Our RFX team ensures OneTrust wins competitive deals to grow the customer base and contribute to market education.

Your Mission

• Assist in competitive projects and learn alongside of our account teams how to win deals. This includes engaging with customers to differentiate OneTrust from other vendors.
• Co-Lead initiatives and projects to develop scalable tools, templates, and best practice assets for our global GTM teams. Collaboration will be key, involving external customers/partners and internal stakeholders such as Go-to-Market, Product
• Management/Marketing and Corporate Strategy.
• Assist in translating our customers’ business challenges into solutions within our product portfolio, creating a unique value proposition that only OneTrust can offer. You will develop your skills to showcase the strategic and quantitative value of our
• solution in every engagement.
• In this multifaceted role, you will start building out your trust intelligence industry expertise in addition to consulting and analytical skills. It will enable you to create a deep understanding of the industry’s landscape, technology trends, and competitive
• practices.

You Are

• Working towards a degree at an exceptional university. Preferably a program in Technology & Management, Information Systems, Industrial Engineering, Computer Science, or equivalent.
• Having prior experience in management consulting, solution engineering, or a similar fast-paced environment, particularly through internships.
• Comfortable in navigating ambiguous and dynamic situations, actively seeking opportunities to think innovatively and beyond conventional boundaries.
• Approaching complex problems with a data mindset, working in a structured manner, and enjoy acquiring proficiency in new topics.
• Collaborative and team-oriented, as well as possess excellent presentation and communication skills in English, other languages are a plus.
• Able to simultaneously grasp the strategic big picture while effectively managing the details of the task at hand.

start date: 6 July 2026.

Duration: Min 6 months.

availability/week- 40h/week.

Position Overview:

We're searching for a Senior Product Manager on our Platform Machine Learning team who can help drive the team’s product vision and strategy. This Product Manager will work closely with Zynga’s internal teams to understand their technological needs as they build out engaging experiences for our new and existing player base. Projects will range from the development of automation tools, data pipelines, and ML models, empowering users to effectively and efficiently meet their business goals.

What You'll Do:

• Establish the product vision and strategy that will help improve operations and performance across our business.
• Partner with executive, game, marketing, and analytics teams to understand user needs and establish success criteria with clearly measurable objectives and key results to deliver a great end-user experience.
• Collaborate with a high-performing group of Engineers, Data Scientists, and Analysts acting as the voice of the business to shape the development and delivery of AI solutions. 
• Define key performance indicators (KPIs) and track the impact of products on business outcomes
• Impact the end-to-end product lifecycle of features spanning multiple areas.
• Collaborate to solve novel problems introduced by the constantly evolving and increasingly challenging gaming ecosystem. 
• Be or become a guide in data science strategies and technologies, including key vendors in the space, pros and cons of opposing approaches, and trade-offs involved with different strategies.

Zynga is known for its data-driven culture, its ambitious mindset, and its fast-paced, challenging work environment where each individual can make a difference. We value strong analytical skills, problem-solving, and quantitative experience. We look for great communicators, leaders, and team players.

What You Bring:

• Strong analytical and problem-solving skills with a Bachelor's degree or equivalent experience in Computer Science, Engineering, Economics, or Business.
• 5+ years of professional experience in a product management role.
• Prior experience in working with Game and/or Marketing teams or building DS solutions.
• Demonstrated experience with prioritizing projects, collecting requirements, crafting product specifications, and carrying features from conceptualization to deployment.
• Good knowledge of agile software development methodologies and software development life cycle.
• Experience with metrics-driven decision-making. 
• A track record for high performance and team/project leadership.
• Hard-working, performance-driven self-starter and team player.
• Excellent verbal and written communication skills.

What We Offer You:

Zynga offers a world-class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits site

The pay range for this position in Ontario at the start of employment is expected to be between $92,000 and $142,000 per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations.

Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses. The use of Artificial Intelligence is not being used to screen candidates. The position is for an existing vacancy.

Behind the user-friendly iOS and Android apps and webpage that work across the world is the engineering team.  We are in charge of creating, developing, improving, and maintaining all Fever services so that more people can have an amazing experience.

About the role

• Understand our business, our customers, our market, and the data of our product to delight our customers and achieve Fever’s goals.
• Communicate and collaborate with stakeholders across different departments: Engineering, Design, User Research, Marketing, Sales, Customer Support, and more.
• Break down broad opportunities into concrete and measurable actions to help us achieve our objectives.
• Analyze product performance, hypothesize, test, and continuously improve product metrics.
• Develop product features from ideation to release: gathering data, hypothesizing, conducting experiments, defining goals & requirements, releasing, and tracking features’ performance.
• Lead a product squad, manage its roadmap and prioritization, and run sprint planning, refinements, and retrospectives with your squad.
• Collaborate in building a vision and strategy for your product.
• Display strong leadership, organizational, and execution skills.

About you

Basic skills and qualifications

• Bachelor's degree in Engineering or a related field (must have).
• 3+ years of relevant experience in product management.
• Proficiency in English and Spanish.
• Proven experience managing ambiguity, complexity, and interdependencies within a product development cycle.
• Ability to present complex technical information in a clear and concise manner to a variety of audiences.
• Strong written communication skills.
• Experience working closely with engineering and design teams, communicating with them and providing feedback.
• Strong quantitative and analytical skills - the ability to derive conclusions from data and clearly communicate findings is critical.
• Ability to work independently and manage multiple concurrent projects from concept to completion.
• Curiosity and desire to learn, with a demonstrated ability to adapt to new technologies.
• High sense of ownership, urgency, and drive in a fast-paced environment.
• Persistence and a whatever-it-takes approach to ensure that your product and team are successful.

Preferred skills and qualifications

• Basic technical knowledge; comfortable understanding and discussing architectural concepts, defining advantages and new opportunities with technical team members.
• Experience in tech startups (or, alternatively, a strong willingness to work in a leading and very fast-paced tech startup).
• Good strategic sense; proven ability to collaborate in defining a successful business strategy. Ability to build trust across different levels and multiple groups within an organization.
• Experience in formulating hypotheses, building lean validations, conducting A/B tests, and defining metrics and control metrics.
• Strong ability to empathize with customers and understand the competitive landscape while innovating.
• Experience in collaborating to build a vision and a clear strategy for a product line, gaining support and communicating it to the organization.

Benefits & Perks

• Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance.
• Stock options.
• Opportunity to have a real impact in a high-growth global category leader
• 40% discount on all Fever events and experiences
• Home office friendly
• Responsibility from day one and professional and personal growth
• Great work environment with a young, international team of talented people to work with!
• Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee.
• English Lessons
• Gympass Membership
• Possibility to receive in advance part of your salary by Payflow.

About the role-

We’re looking for an Engineering Manager to join our Models team, an experimental driven tribe working at the intersection of engineering, data science, and product to deliver performant, accurate, and scalable systems powering the pricing logic behind our sportsbook.

You’ll work with quant models, simulations, and pricing systems that are critical to how Superbet engages customers. This role combines technical leadership, people development, and delivery management to ensure engineering quality and team clarity across both model integration and operational ownership.

You’ll also contribute to maturing our engineering practices; including system reliability, observability, testing, CI/CD, and documentation, driving best practices within the team as we scale the platform and grow the team.

We’re looking for someone who has:

• Proven experience in engineering leadership, across both people and delivery
• Strong technical background-ideally in backend systems, distributed architecture, or real-time data platforms
• Experience in hiring and developing engineering teams, including mentoring, 1:1s, and career development
• Demonstrated ability to build team culture and engineering discipline
• Comfort balancing business delivery and engineering health (tech debt, infra, documentation)
• Strong exposure to on-call responsibilities and improving production reliability
• History of working in cross-functional teams and aligning with product and engineering stakeholders
• Deep understanding of the software development lifecycle
• Effective at resolving complex engineering and communication issues
• Great time management, organisational, and multitasking skills

Bonus points for:

• Experience in iGaming, especially within Sportsbook or Trading domains
• Familiarity with quantitative modelling workflows and their engineering lifecycle
• Experience in simulation platforms, ML pipelines, or pricing systems
• Ability to lead teams through experimental or uncertain development environments
• Hands-on experience driving or improving Agile development practices

What you’ll be doing:

• Lead a team of engineers delivering and supporting pricing models and simulations at scale
• Partner with analysts, PMs, and engineering peers to improve the accuracy, testability, and stability of pricing systems
• Strengthen relationships with Product, Quant, and Data Science to ensure alignment and clarity in delivery
• Promote a culture of ownership, clarity, and best practice in engineering
• Ensure balance between product delivery and tech initiatives-creating room for improvements in infrastructure, standards, and long-term scalability
• Support individual engineers through structured feedback, career development, and regular check-ins
• Drive hiring and contribute to a strong culture of engineering excellence and documentation across the mission

Senior Data Scientist — Verify V2 Data Products, Insights & Monetization

Mission

Build the quantitative foundation that proves and amplifies Verify v2's value—transforming verification telemetry into a reliable, customer-facing data infrastructure that demonstrates measurable ROI, optimizes channel economics, and lays the groundwork for an autonomous identity and verification platform.

You'll own the end-to-end data pipeline from raw events to customer-visible metrics that answer the question every customer asks: "What is this product actually worth to my business?"

What You'll Own

1. Customer Value Infrastructure (Prove ROI at Every Level)

Build the metrics that quantify customer-specific business impact:

• Design and maintain a real-time Customer ROI Engine calculating cost-per-successful-verification, fraud savings, conversion lift, and time-to-value by customer, segment, and use case
• Create customer-facing Value Dashboards showing verification success rates vs. industry benchmarks, cost efficiency trends, and projected savings
• Develop attribution models connecting verification outcomes to downstream business metrics (account activations, transaction completion, fraud prevented)

Establish pricing intelligence at the customer level:

• Build granular unit economics visibility: cost-to-serve, margin contribution, and channel mix efficiency per customer
• Model willingness-to-pay signals and usage patterns to inform tiered pricing and custom packaging
• Quantify the revenue impact of workflow configurations (Silent Auth-first vs. SMS fallback economics)

2. Channel Performance & Optimization (Make Every Verification Smarter)

Create a single source of truth for channel economics:

• Unified performance metrics across SMS, Voice, Email, WhatsApp, and Silent Authentication: deliverability, latency, conversion rate, cost-per-success, and failure taxonomy
• Country × carrier × channel performance matrices with confidence intervals and anomaly flags
• Real-time channel health monitoring with automated alerting for degradation

Build the intelligence layer for workflow optimization:

• Predictive models for optimal channel routing (next-best-channel given geography, time, customer segment, historical performance)
• Fallback effectiveness analysis: quantify conversion recovery and cost trade-offs for each fallback path
• Silent Authentication signal analysis: success/rejection drivers, speed benchmarks, and UX impact measurement

3. Product Data Platform (Foundation for Autonomy)

Design data architecture that enables autonomous decision-making:

• Define the canonical event schema and taxonomy for all verification touchpoints (API calls, webhook events, workflow steps, outcomes)
• Build certified, versioned datasets powering self-serve analytics, ML models, and customer-facing products
• Implement data quality infrastructure: lineage tracking, anomaly detection, freshness SLAs, and automated reconciliation

Ship ML/analytics products that move toward autonomous verification:

• Conversion propensity models: predict verification success probability in real-time to optimize routing
• Fraud & abuse detection: anomaly scoring for traffic pumping, IRSF patterns, and bot behavior—with automated response recommendations
• Time-to-verify prediction: forecast completion time to enable SLA commitments and dynamic timeout tuning
• Customer segmentation: behavioral and commercial clustering for personalized workflows and pricing

4. Monetization (Turn Data into Revenue)

Develop data products that customers will pay for:

• Verification Intelligence Suite: premium analytics, industry benchmarks, and deliverability diagnostics
• Workflow Optimizer: ML-driven recommendations for channel sequencing, timeout configuration, and fallback strategies by geography and vertical
• Fraud Protection Package: risk scoring, pumping detection, and abuse pattern alerts with quantified savings

Define commercial success:

• Package entitlements, usage thresholds, and upgrade triggers
• Track attach rates, retention lift, and expansion revenue attributable to data products
• Build the business case for each offering with clear ROI narratives

Key Responsibilities

• Own the customer value narrative: Build and maintain the infrastructure that lets every customer (and our sales team) articulate Verify's ROI in dollars and percentages
• Ship production ML systems: From feature engineering through deployment, monitoring, and iteration
• Create reliable, self-serve data products: Dashboards, APIs, and datasets that scale without manual intervention
• Drive pricing and packaging decisions: Provide the quantitative foundation for how we charge and what we bundle
• Partner across the organization: Work with Product, Engineering, Finance, Sales, and Customer Success to embed data into every decision
• Report to leadership: Own KPI narratives on margin drivers, growth levers, and competitive positioning

Success Measures

What "Great" Looks Like

Core Data Science

• Experimentation design and causal inference (A/B testing, CUPED, uplift modeling, instrumental variables)
• Predictive modeling: classification, survival analysis, time series, real-time scoring
• Anomaly detection with adversarial thinking (fraud patterns, traffic manipulation, abuse signals)
• Customer analytics: segmentation, LTV modeling, churn prediction, cohort economics

Data Engineering Fluency

• Strong SQL; Python (pandas, scikit-learn, PySpark); comfortable shipping production code
• Event-driven architecture: streaming pipelines and real-time analysis and adaptation (Apache Flink), webhook processing, idempotency, late-arrival handling
• Data modeling: star schemas, semantic layers, data contracts, metric certification
• MLOps: feature stores, model monitoring, CI/CD for analytics, orchestration (Airflow/Dagster)

Product & Commercial Analytics

• Pricing analytics: unit economics, willingness-to-pay estimation, margin optimization
• Funnel analysis for multi-step, multi-channel workflows
• Dashboard design and narrative clarity (Looker, Tableau, dbt metrics layer)
• Packaging and monetization strategy for data products

Domain Expertise (Highly Valued)

• CPaaS, verification, or 2FA: OTP mechanics, deliverability constraints, carrier relationships
• Silent Authentication: network-based verification, success/rejection drivers, integration patterns
• Fraud and risk: traffic pumping, IRSF, bot detection, abuse economics
• Privacy and compliance: GDPR/CCPA, data minimization, audit requirements, customer-facing data controls

Background

• 5–8+ years in data science/analytics, with ≥2 years building and shipping data products
• Track record of translating ambiguous business questions into measurable outcomes
• Experience in B2B SaaS, identity/auth, fintech, messaging/telecom, or fraud analytics preferred
• Demonstrated ability to influence product and pricing decisions with data

Why This Role Matters

Verification is shifting from a cost center to a strategic differentiator. The data infrastructure you build will:

1. Prove value — Give every customer undeniable evidence of ROI
2. Optimize economics — Make every verification faster, cheaper, and more reliable
3. Enable autonomy — Lay the foundation for a platform that routes, optimizes, and protects without human intervention

You'll shape how Vonage—and our customers—think about identity verification as a measurable, optimizable, intelligent system.

#LI-WW1

We are looking for an AI Product Builder in Madrid: someone for whom thinking, designing, and building are not separate stages, but a single act. Someone who collapses the distance between idea and product until it becomes almost invisible. End-to-end, no intermediaries, no safe havens. You will work directly with the Data leadership and ship real impact from day one.

About the role

• Own consumer-facing AI products end-to-end: from identifying the opportunity, to designing the experience, to shipping the implementation, to measuring impact. No hand-offs.
• Embed AI across the full consumer flow — discovery, recommendations, conversion, retention, support — using LLMs, agents, and modern AI tooling as a native part of the product, not as a feature.
• Understand our business, our customers, our market, and the data behind our consumer product to delight users and achieve Fever's goals.
• Move fast with strong opinions: form a hypothesis, build the smallest thing that proves or kills it, ship, learn, iterate. Treat shipping as the way to think.
• Build prototypes and production-ready experiences yourself when needed, leveraging AI coding tools and modern development workflows to compress the idea-to-product cycle.
• Define the right metrics, run experiments (A/B tests, offline evals, online evals for AI features), and continuously improve product and model performance.
• Collaborate with stakeholders across Design, Growth, and the Tech team, working sid by side with a team of Software Engineers.
• Translate broad, ambiguous opportunities into concrete, measurable bets, and make sharp prioritization calls under uncertainty.
• Help shape the vision and strategy for AI in the consumer product, and bring it to life through what you ship.

About you

Basic skills and qualifications:
• Bachelor's degree in Engineering, Computer Science, or a related field.
• 3+ years of relevant experience building consumer-facing digital products end-to-end (as a builder, founder, full-stack PM, product engineer, or similar hybrid role).
• Proven, hands-on experience integrating AI / LLMs into real products in production — not just prototypes or demos.
• Solid experience in consumer products: you understand user behavior, funnels, conversion, retention, and what makes a consumer experience feel magical.
• Strong technical fluency: comfortable understanding system architecture, prototyping with modern AI tools, working with APIs, and holding deep technical conversations with the engineering team.
• Independent judgment and taste: you have your own criteria for what good looks like and defend it with arguments, not consensus.
• Precision and speed: you ship quickly without losing rigor, and you treat being wrong fast as a way to get closer to the truth.
• Strong quantitative and analytical skills — comfortable with data, metrics, and turning numbers into product decisions.
• Proficiency in English; able to communicate complex technical and product ideas clearly to any audience, in writing and in person.
• High sense of ownership, urgency, and drive in a fast-paced, ambiguous environment.

Preferred skills and qualifications
• Hands-on experience with the modern AI stack: LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, RAG, evals, agentic workflows, and AI coding tools.
• Experience designing and running evaluations for AI-powered features (offline and online), and reasoning about model quality, cost, and latency trade-offs.
• Background in tech startups, or a strong willingness to operate inside a fast-moving, high-ambition tech company.
• Track record of shipping products as a small team or solo: founder, early-stage employee, indie builder, or similar.
• Strong product taste and design sensitivity — you care about how things feel, not just whether they work.
• Experience formulating hypotheses, building lean validations, running A/B tests, and defining primary and guardrail metrics.
• Strategic sense: ability to collaborate in defining where the consumer product and its AI surface area should go in the next 1–3 years.
• Ability to build trust quickly across different levels of an organization and rally people around what you are building.

Why join Fever

• You will have real ownership and visible impact.
• You will help shape products, systems, and capabilities that matter across the business.
• You will work in an environment that values ambition, adaptability, pragmatism, and execution.
• You will be surrounded by smart, driven people who care about building things that matter.

Benefits & Perks

• Flexible schedule
• 2 days per week at the office
• 40% discount on all Fever events and experiences
• Health insurance from Day 1
• English or Spanish Lessons
• Wellhub Membership
• Cobee (tax free allowance on restaurants and transport)
• Possibility to receive in advance part of your salary by Payflow

Position Summary

This is a senior role within the Business Development team to originate and develop high quality project opportunities in the international industrial heat market and develop them towards final investment decisions (FID). You will lead a cross-functional team to bring credible, large-scale industrial decarbonization projects to life.  You'll also leverage your expertise to help evolve Antora’s deal-team playbook for high-performance, efficiency and productivity.  Projects will initially be  internationally located, with focus in Spain and/or Australia, but over time may be in other markets including the US as well. This role prefers candidates that operate 4+ days per week from the San Jose, CA office when not traveling.

Roles & Responsibilities

• Originate high-quality decarbonization project opportunities with industrial offtakers
• Develop creative, customer-oriented solutions built on Antora’s thermal energy storage solution to profitably reduce industrial greenhouse gas (GHG) emissions
• Negotiate and secure high volumes of commercial off-take agreements for zero-carbon energy with industrial facilities
• Manage your project development budget to progress promising opportunities towards investability
• Build relationships with senior leaders and key strategic partners across a portfolio of prospective customers

Key Qualifications 

• A minimum of 7 years experience of selling industrial energy applications, and bringing projects through to FID 
• Proven abilities in quantitative problem solving as demonstrated in creative deal structuring for complex deals
• Demonstrated expertise within renewable energy markets or industrial thermal applications
• Track record of consistently advancing high-quality deals to achieve or exceed sales targets  
• A portfolio of energy industry relationships across offtakers and project partners (e.g. financiers, utilities, developers)

Preferred Qualifications 

• Experience building development teams and evolving development processes
• Experience selling energy decarbonization applications in international markets
• Experience in the low carbon fuels sector

The Opportunity:

We are looking for an experienced product marketer to join as a key member of the Grafana Labs Product Marketing team. In this role, you will be responsible for creating Go-To-Market programs that effectively position the value of Grafana Labs and its products to solve the needs of target customers. You will show how our products and solutions — as well as our open source strategy — help prospects and customers achieve their goals. 

As a Senior Product Marketing Manager, you will be in charge of the messaging and positioning across key personas and product areas. You’ll work closely with both product management and enablement to help buyers buy (and sellers sell) our value.

Product Marketing lives within the Product org rather than the Marketing org at Grafana Labs, and we are thinking differently about product marketing. Rather than purely executing launches or campaigns, we want PMMs to teach Product Managers and Engineers in our org how to think about growth and demand, and to codify product marketing knowledge in tools and processes that anyone in the organization can use.

Grafana Labs is a fast-paced and growing organization. As such, this role requires both strategic and planning skills as well as hands-on tactical execution (blogs, webinar outlines, video scripts, etc).

What You'll Be Doing:

• Actively partner with and teach Product Managers to define product value, messaging, and go-to-market strategy, from competitive positioning to sales enablement collateral.
• Partner with product management, engineering and various go-to-market functions to create materials that help customers evaluate and adopt our products: reference architectures, implementation guides, detailed product information.
• Own and manage the launch of new products/features relevant to target buyers
• Conduct internal and customer research to understand pain points, competition and opportunities
• Teach go-to-market and sales teams how to gain value from our products: clearly define the capabilities of our products and the value they provide, deliver training and enablement, ensure customer facing teams are able to effectively engage with customers, partners, and prospects.
• Own customer lifecycle campaigns (competitive positioning, retention, upsell/cross-sell) to strategically shape marketing programs and drive growth across the entire customer journey.

What Makes You a Great Fit:

• 5+ years of relevant experience (product marketing, solutions marketing, product management)
• Experience with marketing and selling to a technical audience
• A passion for open source, cloud native, and infrastructure technologies 
• Proven ability to take on complex projects and efficiently drive them from start to finish
• Ability to clearly articulate the value of technical products to customers and sellers alike
• Experience leading product or feature launches autonomously as well as part of a team
• Comfort working with a variety of internal and external stakeholders in complicated processes
• Strong product and technical curiosity that translate to clear packaging, positioning, and messaging
• Demonstrated quantitative analytical skills for analyzing campaign performance, evaluating lifecycle metrics, and making data-driven recommendations.
• Exceptional writing and communication skills
• A high “say-do” ratio in executing and delivering impact 

What you’ll bring to the role

You’ll bring a passion for quality, pride in the strategic impact of your work, and the ability to thrive in a fast-paced environment.

Compensation & Rewards:

In Spain, the Base compensation range for this role is 94,025 EUR - 112,830EUR. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

Behind the user-friendly iOS and Android apps and webpage that work across the world is the engineering team.  We are in charge of creating, developing, improving, and maintaining all Fever services so that more people can have an amazing experience.

About the role

• Understand our business, our customers, our market, and the data of our product to delight our customers and achieve Fever’s goals.
• Communicate and collaborate with stakeholders across different departments: Engineering, Design, User Research, Marketing, Sales, Customer Support, and more.
• Break down broad opportunities into concrete and measurable actions to help us achieve our objectives.
• Analyze product performance, hypothesize, test, and continuously improve product metrics.
• Develop product features from ideation to release: gathering data, hypothesizing, conducting experiments, defining goals & requirements, releasing, and tracking features’ performance.
• Lead a product squad, manage its roadmap and prioritization, and run sprint planning, refinements, and retrospectives with your squad.
• Collaborate in building a vision and strategy for your product.
• Display strong leadership, organizational, and execution skills.

About you

Basic skills and qualifications

• Bachelor's degree in Engineering or a related field.
• 3+ years of relevant experience in product management.
• Proficiency in English.
• Proven experience managing ambiguity, complexity, and interdependencies within a product development cycle.
• Ability to present complex technical information in a clear and concise manner to a variety of audiences.
• Strong written communication skills.
• Experience working closely with engineering and design teams, communicating with them and providing feedback.
• Strong quantitative and analytical skills - the ability to derive conclusions from data and clearly communicate findings is critical.
• Ability to work independently and manage multiple concurrent projects from concept to completion.
• Curiosity and desire to learn, with a demonstrated ability to adapt to new technologies.
• High sense of ownership, urgency, and drive in a fast-paced environment.
• Persistence and a whatever-it-takes approach to ensure that your product and team are successful.

Preferred skills and qualifications

• Basic technical knowledge; comfortable understanding and discussing architectural concepts, defining advantages and new opportunities with technical team members.
• Experience in tech startups (or, alternatively, a strong willingness to work in a leading and very fast-paced tech startup).
• Good strategic sense; proven ability to collaborate in defining a successful business strategy. Ability to build trust across different levels and multiple groups within an organization.
• Experience in formulating hypotheses, building lean validations, conducting A/B tests, and defining metrics and control metrics.
• Strong ability to empathize with customers and understand the competitive landscape while innovating.
• Experience in collaborating to build a vision and a clear strategy for a product line, gaining support and communicating it to the organization.

Benefits & Perks

• Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance.
• Stock options.
• Opportunity to have a real impact in a high-growth global category leader
• 40% discount on all Fever events and experiences
• Home office friendly
• Responsibility from day one and professional and personal growth
• Great work environment with a young, international team of talented people to work with!
• Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee.
• English Lessons
• Gympass Membership
• Possibility to receive in advance part of your salary by Payflow.

The International Project Management Team

The International Project Management Team is a rapidly growing service offering at Alarm.com. The team provides continuous, high-impact support to international business initiatives, including successful partner service launches, delivery of strategic technical requirements, comprehensive global product deployments, and project management consulting for high-impact initiatives.

Project Managers are engaged from early planning through launch and post-launch execution, supporting international business efforts with a disciplined, end-to-end approach across every stage of the project lifecycle. We are building a strong, globally minded team and are looking for exceptional individuals to join us.

The Role

Project Managers are responsible for ensuring complex service and product launches meet customer expectations and align with regional market needs and requirements. They coordinate in-region project strategy and execution and lead efforts to resolve complex service, product, and platform release planning challenges that impact business and field operations.

As a Project Manager, you will work as part of a driven, collaborative team to apply project management discipline to complex international launches and initiatives.

Your mission is to synthesize disconnected inputs - opinions, requests, technical constraints, and business requirements - into cohesive, executable plans that drive successful outcomes.

Project Managers are hands-on problem solvers who immerse themselves in our customers’ most intricate business needs and take ownership of executing complex international service and product launches. They actively work through ambiguity and challenges to drive launch success, often operating with a high degree of discipline and grit. At times, Project Managers may be embedded with Alarm.com internal operations and product teams. The role requires curiosity, strong analytical thinking, sound product intuition, a structured and disciplined approach to execution, resilience in the face of obstacles, and a high degree of empathy to drive issues to resolution.

Core Responsibilities

• Develop deep technical knowledge of Alarm.com architecture and solutions, applying strong analytical and quantitative problem-solving skills to complex initiatives.
• Design, develop, and manage detailed project plans in a fast-paced, dynamic environment with multiple parallel workstreams.
• Lead key stakeholders in defining project scope and gathering accurate, complete business and technical requirements.
• Create and manage cost estimates, milestones, dependencies, and resource requirements to ensure successful project delivery.
• Coordinate cross-functional teams to execute on technical requirements, enhancements, and bug fixes aligned with service launch timelines.
• Coordinate closely with cross-functional teams - including field ops, legal, sales operations, certifications, localization, training, account management, technical account management, support, and marketing - to plan and execute global product deployments across international markets.
• Proactively identify, communicate, and mitigate risks to ensure projects are delivered on time and with high quality.
• Ensure projects are thoroughly documented to support transparency, continuity, and risk mitigation.
• Build strong relationships with internal teams, partners, and stakeholders to ensure delivery against commitments.
• Interface with senior leadership and customers as needed, representing Alarm.com on significant project matters.
• Provide clear, concise project status updates and reporting to leadership, internal and external stakeholders.
• Other duties as assigned. 

What We Value

• Bachelor’s degree in Computer Science, Engineering, Operations Research, Mathematics, Physics, or equivalent practical experience.
• Exceptional communication skills with the ability to build strong relationships, clearly articulate rationale, and influence outcomes.
• A proactive, self-starting mindset with experience collaborating with enterprise customers across varying levels of technical sophistication.
• Strong risk management capabilities, including early identification and transparent communication to stakeholders.
• High empathy and customer focus, with a drive to understand stakeholder needs and enable success.
• Comfort operating in highly iterative planning environments - moving quickly, adapting to feedback, and prioritizing collaboration.
• Preferred: Proficiency with project and collaboration tools such as JIRA, Confluence, and SharePoint, with the ability to leverage them effectively for planning, tracking, documentation, and stakeholder communication.
• 2+ years of experience in a project management, implementation, or related role.
• Professional English proficiency required; additional language skills are a plus.

WHY WORK FOR ALARM.COM?

• Collaborate with outstanding people: We hire only the best. Our standards are high and our employees enjoy working alongside other high achievers.
• Make an immediate impact: New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the Alarm.com team!
• Gain well rounded experience: Alarm.com offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business.
• Community and Camaraderie: One of our core values is to 'Keep It Fun,' which to us means fostering a strong sense of community. Our culture is built on collaboration and connection, where we celebrate our successes and believe that a positive, engaging environment is key to doing our best work.

COMPANY INFO

Alarm.com is the leading platform for intelligently connected properties. Millions of homeowners and businesses rely on Alarm.com's technology to secure, monitor, and manage their environments from anywhere. Our comprehensive suite of solutions—including security, video surveillance, access control, active shooter detection, intelligent automation, energy management, and wellness—is delivered exclusively through a trusted network of thousands of professional service providers and commercial integrators across North America and worldwide. Alarm.com's common stock is traded on Nasdaq under the ticker symbol ALRM. Alarm.com delivers serious security for serious people.

For more information, please visit www.alarm.com.

Alarm.com is an Equal Opportunity Employer

In connection with your application, we collect information that identifies, reasonably relates to or describes you ("Personal Information"). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision.

We're building an AI copilot for web testing automation. It enables manual and automation QA engineers to turn their manual testing flows into production-ready automated E2E testing scripts, saving hours of manual work and coding. We are a small team with zero bureaucracy, focusing on real users. We optimize for shipping value - not hype.

About the role:

You'll own the top of the funnel: outbound, qualification, and getting leads to sit down for a conversation. Demos, onboarding, and retention are staying with the founder for now.

Phase one: Get individual Automation QAs to try the product, aiming for fast adoption and no procurement. Once we hit 20+ weekly users, we’ll move on to phase two, where we’ll shift the focus to B2B – qualified meetings with QA Leads and Engineering Managers.

Your focus in the first three months:

• Build targeted lists: Automation QAs at companies with web products and Playwright, Cypress, or Selenium in their stack.
• Run outbound sequences (LinkedIn is the baseline, but you decide the channels). A/B test weekly.
• Design qualification gates (forms and scoring) to filter leads before the founder calls.
• Reach 20+ weekly active users after month one – ICP-qualified and giving direct feedback to engineering.
• Document what works into a repeatable playbook.

Growth path:

This role expands as your strategies deliver results. Once the user pipeline works, you can take over demos and run B2B sales end to end. From there, the natural next step is Growth Lead (funnel optimization and scaling the playbook) or Account Executive (owning deal execution).

Why to join:

• You'll be building a strategy that scales the product, not filling a quota. What you create from scratch becomes the foundation.
• Your outreach turns into users who talk directly to engineering, and their feedback ships as features within days.
• AI for developer tools is a market with real pull, and QA automation is one of its sharpest pain points.
• We’re backed by JetBrains – financially secure with no reliance on external VC funding.

Who we're looking for:

You should have a high level of agency and be quant-minded – you live in funnel metrics, run experiments, and are comfortable saying "no" to leads that are a bad fit. 

The ideal candidate will:

• Have done 0-to-1 outbound for an early-stage devtool, QA tool, infrastructure product, or similar.
• Have proven cold outbound results, instead of being dependent on warm inbound.
• Be able to talk credibly about flaky tests, CI pain, and Playwright vs. Cypress. You don't need to be an engineer, but you do need domain empathy.
• Possess strong written communication skills, with the ability to craft short, sharp messages that get replies.

Nice to have:

• A QA or SDET background – you've felt the pain yourself before moving to sales or BD.
• Exposure to security/compliance objections – enough to pre-empt and route.
• Content skills – your LinkedIn posts get engagement, not just your DMs.
• Experience as one of the first 10 employees at a startup.

#LI-REMOTE 
#LI-KT1

We are looking for a talented Senior Product Designer to join our Design team and begin an exciting career with us. The successful applicant will be a designer who is passionate about defining functional and creative solutions to complex problems ultimately helping to shape the future of Superbet. As part of a cross-functional team, you’ll collaborate closely with engineers, product managers and other team members to bring our vision to life.

What you'll be doing:

• Work autonomously in a cross-functional, agile product team.
• Deliver creative solutions with an emphasis on a great user experience whilst also balancing customer needs, company goals, design cohesion and ease of implementation.
• Proactively gather and analyze both qualitative and quantitative data to inform your design decisions.
• Take ownership of the end-to-end user journey. Encompassing all aspects of the design life cycle you will be comfortable with customer research, ideation, prototyping, usability testing through to the final interface design.
• Constant optimization of the user experience.
• Contribute to the design system.

We are looking for someone who has:

• Product design experience with a portfolio to showcase your skills
• Strong UI skills and clean visual design sense
• Experience in designing for diverse platforms (web, iOS, Android).
• Strong UX focus and understanding of human behaviours
• Experience in qualitative and quantitative user research methodologies
• Solid planning and strategic thinking that clearly articulates design decisions
• Experience in defining information architecture and user flows
• Ability to make data-supported recommendations
• A drive for learning and growth as a professional
• Excellent communication and presentation skills
• Expert proficiency in Figma
• A willingness to provide and receive constructive feedback, contributing to our healthy and supportive feedback culture
• Strong English language skills, both written and verbal.

Bonus points:

• Experience working in a sports entertainment or betting industry setting is a major advantage
• Mentoring skills

Ready to apply? Send us your portfolio with the application (Figma, Behance, website, Dribbble, etc.).

We are looking for a talented Senior Product Designer to join our Design team and begin an exciting career with us. The successful applicant will be a designer who is passionate about defining functional and creative solutions to complex problems ultimately helping to shape the future of Superbet. As part of a cross-functional team, you’ll collaborate closely with engineers, product managers and other team members to bring our vision to life.

What you'll be doing:

• Work autonomously in a cross-functional, agile product team.
• Deliver creative solutions with an emphasis on a great user experience whilst also balancing customer needs, company goals, design cohesion and ease of implementation.
• Proactively gather and analyze both qualitative and quantitative data to inform your design decisions.
• Take ownership of the end-to-end user journey. Encompassing all aspects of the design life cycle you will be comfortable with customer research, ideation, prototyping, usability testing through to the final interface design.
• Constant optimization of the user experience.
• Contribute to the design system.

We are looking for someone who has:

• Product design experience with a portfolio to showcase your skills
• Strong UI skills and clean visual design sense
• Experience in designing for diverse platforms (web, iOS, Android).
• Strong UX focus and understanding of human behaviours
• Experience in qualitative and quantitative user research methodologies
• Solid planning and strategic thinking that clearly articulates design decisions
• Experience in defining information architecture and user flows
• Ability to make data-supported recommendations
• A drive for learning and growth as a professional
• Excellent communication and presentation skills
• Expert proficiency in Figma
• A willingness to provide and receive constructive feedback, contributing to our healthy and supportive feedback culture
• Strong English language skills, both written and verbal.

Bonus points:

• Experience working in a sports entertainment or betting industry setting is a major advantage
• Mentoring skills

Ready to apply? Send us your portfolio with the application (Figma, Behance, website, Dribbble, etc.).

Super is looking for an analytical and detail-oriented Risk Analyst to assist the Risk team in developing quantitative risk metrics. This is a fantastic opportunity for someone who thrives at the intersection of risk management, data analysis, and automation.

You will work closely with the Risk Team and business stakeholders to help identify risks, assess the risk and develop mitigation strategies.  A key part of this role is assisting the Risk Team in developing key risk indicators and monitoring key metrics.

What you'll be doing:

• Identifying Vulnerabilities: Helping the business continuously scan business operations, financial transactions, andIT systems to find where the company is exposed to loss or failure.
• Crunching the Data: Extracting and analyzing large datasets using tools like Excel/Google sheets, SQL, Python to measure the likelihood and financial impact of specific risks.
• Developing Key Risk Indicators (KRIs): Helping the Risk team to develop specific, measurable metrics that act as early warning systems, alerting leadership when a risk is creeping past an acceptable threshold.
• Building Visual Reports: Translating complex data into clear, easy-to-read dashboards (using tools like Tableau, Power BI, or Looker) for executives who need quick insights.
• Driving Mitigation Strategies: Partnering with internal teams—like Audit, Legal, or Commercial—to design new controls or processes that lower the company's risk exposure.
• Monitoring Compliance: Ensuring the business is playing by the rules and adhering strictly to industry regulations and internal policies.

What we are looking for:

• Education: Bachelor’s degree in Risk Management, Accounting, Finance, or a related field.
• Experience: 2 years of experience in a relevant role.
• Core competencies:
  • Quantitative analysis, the ability to translate abstract risks into measurable, trackable metrics.
  • Cross-functional collaboration, partner with key stakeholders to pinpoint vulnerabilities.
  • Process automation, identify automation improvements.
  • Data visualisation and reporting, design continuous improvement monitoring dashboards to provide real-time risk reporting.

Soft Skills: Strong critical thinking, problem-solving abilities, and the capacity to explain complex situations in simple terms

About the Role

Superbet is building the future of gaming experiences, and we need a visionary lead to architect our AI-first UX Research Operations function from the ground up. This is a rare opportunity to define how AI transforms research at scale - moving from traditional qual/quant methods to intelligent, automated insight generation that keeps pace with our global expansion. 

You'll be the bridge between cutting-edge AI capabilities and human-centered research excellence, building systems that allow our product teams to make confident, data-informed decisions 10x faster than traditional research allows. 

This is not a traditional ResearchOps role. We're looking for someone who sees AI as the primary research infrastructure, not just a productivity tool. 

You bring methodological mastery, creative curiosity, and the kind of presence that makes participants forget they're being observed and leaders believe you shape company wide narratives. You also bring a future positive mindset: you are actively integrating AI tools into your workflow to do more, faster, without sacrificing the depth that makes qual irreplaceable. You know when AI is helpful and when it is not and can help junior researchers make decisions around when to use them. 

What You Will Build

Year 1: Foundation

• AI Research Infrastructure: Design and implement an AI-native research stack that automates insight synthesis, pattern detection, and continuous discovery 
• Intelligent Repository: Build a living research knowledge base where AI surfaces relevant insights the moment teams need them—no searching through Notion or Dovetail 
• Automated Research Workflows: Deploy AI agents for interview transcription, analysis, synthesis, competitive intelligence, and sentiment monitoring across 12+ markets 
• Research Democratization: Enable product managers, designers, and engineers to self-serve 80% of research questions through AI-assisted tools 

Year 2: Scale 

• Continuous User Understanding: Establish always-on research systems (AI-powered surveys, behavioral analytics, community listening) that generate insights without manual studies Predictive Research: Build models that anticipate user needs, friction points, and opportunities before traditional research would surface them 
• Cross-Market Intelligence: Create AI systems that synthesize insights across Superbet's global markets, detecting regional patterns and universal truths 
• Research Quality Assurance: Implement AI-assisted validation frameworks to ensure insights are reliable, unbiased, and actionable

Year 3: Always On Insights 

• AI predicts user friction points before traditional research surfaces them 
• Cross-market insight synthesis happens automatically 
• Research velocity 10x faster than traditional methods 
• Industry-leading case study: "How Superbet built AI-first research" 

What Success Looks Like 

6 Months:

• - AI research stack operational across 3+ product teams 
• - 50% reduction in time-to-insight for common research questions 
• - Research knowledge base with 100+ synthesized insights, AI-searchable 

12 Months: - Product teams self-serve 70%+ of research needs through AI tools - Continuous user understanding systems running across all markets - Research influences 90%+ of major product decisions 

What We Are Looking For

Basic Experience

• Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL
• Experience working cross functionally with tech and non-tech teams
• Experience defining program requirements and using data and metrics to determine improvements
• Experience in program or project management
• Experience implementing repeatable processes and driving automation or standardization
• Experience defining and executing program requirements within strict timelines

Essential Experience

ResearchOps Excellence (Critical) - Built research operations from 0→1 at a high-growth company - Designed research repositories, tooling stacks, and democratization programs- Managed research panels, participant recruitment, and compliance frameworks- Scaled research to support 50+ stakeholders across multiple product teams AI & Research Intersection (Critical) 

• - 5+ years in UX Research, with 2+ years actively using AI in research workflows
• - Shipped AI-powered research tools, processes, or platforms (not just "used ChatGPT") 
• - Deep understanding of LLMs, RAG systems, prompt engineering for research applications 
• - Experience evaluating AI research tools and building AI-augmented research practices 
• Technical Acumen (Critical) 
• - Comfortable reading code, writing SQL, or working with APIs 
• - Built custom AI workflows (GPT API, Claude API, Zapier, Make) 

Industry Context (Preferred) - Experience in regulated industries (gambling, fintech, healthcare)- Multi-market or international research experience - Background in high-velocity product environments (weekly releases) 

Skills & Mindset

• World-class operator: You have a gift for going across the organization to find the most optimal ways of work - time, money, resource wise.
• AI-enhanced, not AI-dependent: You use AI to go faster and deeper, but your analytical judgement is irreplaceable and you know it. You apply AI tools critically, not uncritically.
• Meticulous planner: You are an expert in Operations and constantly keep improving the team’s delivery model.  
• Org Mover: Your research is not theory alone, you know how to make things tangible, bite sized and move people and work forward. 
• Embrace difficult conversations - Driving research impact is as much about doing good research as it is about convincing people to see things your way. You work with people both easy and difficult to collaborate with to make great experiences come alive. 
• Frugal: You continuously improve our spending habits and drive financial efficiency for the org. 

Nice to Have

• Experience in high intensity consumer products, marketplaces, gaming, financial services, with some degree of experience in trust and safety is useful. 
• Experience in launching new programs, markets and changing large scale work processes in short turn around.
• Experience in some European languages. 

Why This Role at Superbet

Sports is one of the richest contexts for qualitative research: the experience is emotionally intense, socially embedded, culturally specific, and morally complex. Users have contradictory motivations. Their stated and actual behaviour diverge. The moments of joy and frustration are extreme. Understanding all of this deeply, not just what users click, but why they feel what they feel - is what separates good product decisions from great ones.

• Access to a diverse, passionate user base across 12+ markets - every cultural context brings new research challenges.
• A team that values qualitative rigour and won't ask you to reduce everything to a number.
• Senior visibility: your insights will be read by the CPO and product leadership, not just deposited in a repo.
• A Principal Quant Researcher as a genuine peer - someone to build with, argue with, and create better mixed-methods evidence with.
• Competitive compensation at Staff IC level with equity and a genuine investment in your development as a researcher.

The Role

At Super technologies, data isn’t a support function, it’s at the heart of every major decision we make. As a Senior Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products.

This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it.

What You’ll Do

• Be the Decision Engine: Run deep-dive analyses into customer behaviour, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon.
• Shape Strategy with Data: Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions.
• Automate Intelligence: Build scalable dashboards, reporting systems, and data tools that enable teams across Superbet to make smarter, faster, data-driven decisions.
• Partner Across the Business: Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions.
• Tackle Ambiguity: Superbet moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems.

What We’re Looking For

• Technical Mastery: SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau).
• Data Storytelling: You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making.
• Commercial & Product Acumen: You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior.
• Bias for Impact: You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle.
• Proven Track Record: Previous experience in analytics and/or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth.
• Education: Degree in Data Science, Statistics, Economics, Computer Science/Engg., Mathematics, or a related quantitative field OR equivalent work experience.
• Years of Experience: We are hiring for roles with at least 2+ years of relevant experience.

Why Join Us?

• High Impact
  • Your datasets will be used daily by teams making product decisions, running experiments, and driving performance.
• Real Scale, Real Problems
  • Handle serious data volumes. We’re talking millions of events per day, multiple sources, and zero fluff.
• Freedom to Shape
  • Influence our data architecture, tooling, and best practices. You're not just implementing—you’re building.
• Solid Benefits
  • Competitive compensation & performance-based bonuses
  • Open vacation policy & hybrid work flexibility
  • Health support, wellness perks & team social budget

The Role

At Super technologies, data isn’t a support function, it’s at the heart of every major decision we make. As a Senior Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products.

This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it.

What You’ll Do

• Be the Decision Engine: Run deep-dive analyses into customer behaviour, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon.
• Shape Strategy with Data: Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions.
• Automate Intelligence: Build scalable dashboards, reporting systems, and data tools that enable teams across Superbet to make smarter, faster, data-driven decisions.
• Partner Across the Business: Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions.
• Tackle Ambiguity: Superbet moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems.

What We’re Looking For

• Technical Mastery: SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau).
• Data Storytelling: You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making.
• Commercial & Product Acumen: You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior.
• Bias for Impact: You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle.
• Proven Track Record: Previous experience in analytics and/or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth.
• Education: Degree in Data Science, Statistics, Economics, Computer Science/Engg., Mathematics, or a related quantitative field OR equivalent work experience.
• Years of Experience: We are hiring for roles with at least 2+ years of relevant experience.

Why Join Us?

• High Impact
  • Your datasets will be used daily by teams making product decisions, running experiments, and driving performance.
• Real Scale, Real Problems
  • Handle serious data volumes. We’re talking millions of events per day, multiple sources, and zero fluff.
• Freedom to Shape
  • Influence our data architecture, tooling, and best practices. You're not just implementing—you’re building.
• Solid Benefits
  • Competitive compensation & performance-based bonuses
  • Open vacation policy & hybrid work flexibility
  • Health support, wellness perks & team social budget

We are looking for a Senior Product Designer to join our Product Design Team and begin an exciting career with us. The successful applicant will be a designer who is passionate about defining functional and creative solutions to complex problems ultimately helping to shape the future of Superbet. As part of a cross-functional team, you’ll collaborate closely with engineers, product managers and other team members to bring our vision to life.

What you'll be doing:

• Work autonomously in a cross-functional, agile product team
• Deliver creative solutions with an emphasis on a great user experience whilst also balancing customer needs, company goals, design cohesion and ease of implementation.
• Proactively gather and analyze both qualitative and quantitative data to inform your design decisions
• Take ownership of the end-to-end user journey. Encompassing all aspects of the design life cycle you will be comfortable with customer research, ideation, prototyping, usability testing through to the final interface design.
• Constant optimization of the user experience
• Contribute to the design system
• Work with and contribute to the design system
• Lead or actively participate in the efforts of product discovery
• Together with team members, monitor the performance of the release, identify learnings and find ways to enhance it
• Own your professional growth and help other team members by providing feedback and mentorship
• Foster a collaborative and creative culture within the design team and across the company

We are looking for someone who has:

• Product design experience with a portfolio to showcase your skills.
• Strong UI and motion design skills to create dynamic interactions and animations that enhance usability and delight users.
• Understanding of motion design principles.
• Experience in designing for diverse platforms (web, native).
• Strong UX focus and understanding of human behaviors.
• Experience in qualitative and quantitative user research methodologies.
• Solid planning and strategic thinking that clearly articulates design decisions.
• Experience in defining information architecture and user flows.
• Ability to make data-supported recommendations.
• A drive for learning and growth as a professional.
• Excellent communication and presentation skills.
• Expert proficiency in Figma.
• A willingness to provide and receive constructive feedback, contributing to our healthy and supportive feedback culture.
• Strong English language skills, both written and verbal.

Bonus points:

• Experience working in a sports entertainment or betting industry setting is a major advantage
• Mentoring skills

Ready to apply? Send us your portfolio with the application (Behance, website, Dribbble, etc.).

We are looking for a Senior Product Designer to join our Product Design Team and begin an exciting career with us. The successful applicant will be a designer who is passionate about defining functional and creative solutions to complex problems ultimately helping to shape the future of Superbet. As part of a cross-functional team, you’ll collaborate closely with engineers, product managers and other team members to bring our vision to life.

What you'll be doing:

• Work autonomously in a cross-functional, agile product team
• Deliver creative solutions with an emphasis on a great user experience whilst also balancing customer needs, company goals, design cohesion and ease of implementation.
• Proactively gather and analyze both qualitative and quantitative data to inform your design decisions
• Take ownership of the end-to-end user journey. Encompassing all aspects of the design life cycle you will be comfortable with customer research, ideation, prototyping, usability testing through to the final interface design.
• Constant optimization of the user experience
• Contribute to the design system
• Work with and contribute to the design system
• Lead or actively participate in the efforts of product discovery
• Together with team members, monitor the performance of the release, identify learnings and find ways to enhance it
• Own your professional growth and help other team members by providing feedback and mentorship
• Foster a collaborative and creative culture within the design team and across the company

We are looking for someone who has:

• Product design experience with a portfolio to showcase your skills.
• Strong UI and motion design skills to create dynamic interactions and animations that enhance usability and delight users.
• Understanding of motion design principles.
• Experience in designing for diverse platforms (web, native).
• Strong UX focus and understanding of human behaviors.
• Experience in qualitative and quantitative user research methodologies.
• Solid planning and strategic thinking that clearly articulates design decisions.
• Experience in defining information architecture and user flows.
• Ability to make data-supported recommendations.
• A drive for learning and growth as a professional.
• Excellent communication and presentation skills.
• Expert proficiency in Figma.
• A willingness to provide and receive constructive feedback, contributing to our healthy and supportive feedback culture.
• Strong English language skills, both written and verbal.

Bonus points:

• Experience working in a sports entertainment or betting industry setting is a major advantage
• Mentoring skills

Ready to apply? Send us your portfolio with the application (Behance, website, Dribbble, etc.).

The Role

At Super technologies, data isn’t a support function, it’s at the heart of every major decision we make. As a Senior Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products.

This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it.

What You’ll Do

• Be the Decision Engine: Run deep-dive analyses into customer behaviour, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon.
• Shape Strategy with Data: Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions.
• Automate Intelligence: Build scalable dashboards, reporting systems, and data tools that enable teams across Superbet to make smarter, faster, data-driven decisions.
• Partner Across the Business: Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions.
• Tackle Ambiguity: Superbet moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems.

What We’re Looking For

• Technical Mastery: SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau).
• Data Storytelling: You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making.
• Commercial & Product Acumen: You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior.
• Bias for Impact: You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle.
• Proven Track Record: Previous experience in analytics and/or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth.
• Education: Degree in Data Science, Statistics, Economics, Computer Science/Engg., Mathematics, or a related quantitative field OR equivalent work experience.
• Years of Experience: We are hiring for roles with at least 2+ years of relevant experience.

Why Join Us?

• High Impact
  • Your datasets will be used daily by teams making product decisions, running experiments, and driving performance.
• Real Scale, Real Problems
  • Handle serious data volumes. We’re talking millions of events per day, multiple sources, and zero fluff.
• Freedom to Shape
  • Influence our data architecture, tooling, and best practices. You're not just implementing—you’re building.
• Solid Benefits
  • Competitive compensation & performance-based bonuses
  • Open vacation policy & hybrid work flexibility
  • Health support, wellness perks & team social budget

About the Role

The Staff Qualitative Researcher is Superbet's most senior practitioner of human-centred inquiry. This is a hands-on, high-output IC role. You are the person who knows how to get to the truth of a user's experience: their mental models, their anxieties, their unspoken expectations, their moments of delight and frustration.

You will lead qualitative research across the most strategically important and ambiguous product questions Superbet faces - from understanding how new markets experience sports for the first time, to uncovering the emotional dynamics of live in-play gambling, to defining what responsible gaming actually feels like from a user's perspective. You will work closely with the Principal Quant Researcher and the Research Manager to ensure qualitative and quantitative evidence are always richer together than apart.

You bring methodological mastery, creative curiosity, and the kind of presence that makes participants forget they're being observed and leaders believe you shape company wide narratives. You also bring a future positive mindset: you are actively integrating AI tools into your workflow to do more, faster, without sacrificing the depth that makes qual irreplaceable. You know when AI is helpful and when it is not and can help junior researchers make decisions around when to use them. 

What You Will Own

Deep Qualitative Research Execution

• Design and independently execute complex, multi-method qualitative research programmes spanning generative discovery, concept exploration, and evaluative depth - not just individual studies but longitudinal programmes of inquiry.
• Lead the most high-stakes and ambiguous research briefs: new market entry, new product category launches, trust and safety research, responsible gambling insights, and strategic bets where the organisation has the least existing evidence.
• Operate the full qualitative toolkit with mastery: semi-structured and unstructured in-depth interviews, contextual inquiry and ethnographic observation, diary studies and longitudinal panels, participatory design workshops, focus groups, co-creation sessions, and remote moderated/unmoderated studies.
• You have deep expertise in mental models, perception, jobs to be done and combining them to paint a rich psychological and workflow design. 
• Own recruitment strategy end-to-end: define screeners, work with research ops and vendors, build proprietary panels where needed, and ensure participant samples are representative of the diversity of Superbet's user base across markets.
• Produce analysis that goes beyond surface themes: you apply systematic coding, grounded theory approaches, interpretive phenomenological analysis, or jobs-to-be-done frameworks -  selecting the analytical lens that fits the question, not the one that's familiar.
• You inspire product teams to take action and drive progress. You can handle different levels of exposure to research within the company and convert colleagues to champions. 

AI-Enhanced Qualitative Workflows

• Lead the integration of AI tooling into Superbet's qualitative research practice - not as a replacement for human interpretation but as a force multiplier that increases throughput and analytical depth.
• Deploy LLM-assisted transcript analysis pipelines that handle first-pass thematic coding, anomaly flagging, and cross-participant pattern detection - freeing analyst time for higher-order interpretation.
• Use AI tools for rapid synthesis across large corpora of qual data: customer feedback, support tickets, app reviews, social listening, and interview transcripts - triangulating signals that would otherwise require weeks of manual work.
• Critically evaluate the output of AI-assisted analysis for bias, hallucination, and over-compression - maintaining methodological integrity while embracing efficiency.
• Build workflows and documentation that allow the broader team to use AI-assisted qual tools responsibly, and run training sessions that upskill colleagues on both the power and the limits of these tools.

Strategic Insight Generation & Storytelling

• Translate raw qualitative data into insight frameworks that have a life beyond the single study: mental model maps, user need taxonomies, experience principles, and behavioural archetypes that inform multiple product teams over multiple quarters.
• Craft research deliverables that move people — not slide decks of quotes, but evidence-driven narratives that make stakeholders genuinely see the world through the user's eyes.
• Partner with the Principal Quant Researcher to design mixed-methods programmes where qual findings generate hypotheses that quant can test at scale, and where quant anomalies trigger qual investigation.
• Present research to senior and executive stakeholders with confidence and authority — you know how to hold the room, handle pushback on findings, and advocate for the user even when their experience is inconvenient for the business.
• Maintain a living qualitative insights repository: tag and cross-reference findings so that past research informs present decisions and the organisation's qualitative knowledge compounds over time.

Research Quality, Standards & Community

• Set the qualitative methodological bar for the research team: review study designs, discussion guides, and analysis from junior and mid-level researchers - providing specific, developmental feedback that elevates their craft.
• Develop and maintain qualitative research standards documentation: best practices for moderation, coding, synthesis, and reporting that are practical, not theoretical.
• Act as a qualitative research community builder within Superbet: run internal workshops, share cutting-edge methods from the field, and make qualitative research legible and valued by non-research partners.
• Identify opportunities to democratise qualitative methods across Product and Design teams, building guardrails and templates that enable safe self-serve research without compromising rigour.

What We Are Looking For

Essential Experience

• 8+ years of UX research experience with a clear depth specialisation in qualitative methods -  ideally with experience in both generative and evaluative contexts across the full product development lifecycle.
• Mastery of qualitative data collection: exceptional moderation skills across IDIs, focus groups, diary studies, ethnographic observation, and co-design facilitation. You are comfortable in the field, in a lab, and on a video call.
• Deep qualitative analysis expertise: systematic thematic analysis, grounded theory, affinity diagramming at scale, IPA, and the judgment to know when interpretive depth is needed versus surface-level synthesis.
• Strong mixed-methods fluency: experience designing studies that integrate qual and quant, and the ability to have a credible technical conversation with quantitative researchers about their methodology.
• Demonstrated experience using AI tools in qualitative workflows - not just awareness, but real implementation with critical assessment of quality and validity.
• A track record of qualitative research that influenced major product or strategy decisions, with specific examples you can speak to in depth.
• Experience working across multiple markets or cultural contexts - essential given Superbet's multi-country footprint.

Skills & Mindset

• World-class moderator: You have a gift for putting participants at ease and creating the conditions where genuine, unguarded truth emerges. You know when to probe, when to wait, and when to redirect.
• Interpretive depth: You go beyond what users say to understand what they mean — and you can defend your interpretations with analytical rigour, not just instinct.
• AI-enhanced, not AI-dependent: You use AI to go faster and deeper, but your analytical judgement is irreplaceable and you know it. You apply AI tools critically, not uncritically.
• Generative thinker: You don't just answer the research question - you reframe it when necessary, spot adjacent insights the brief didn't ask for, and bring back richer evidence than expected.
• Empathy with edge: You care deeply about users and can advocate for them powerfully - but you're not naive. You understand the commercial context and know how to make the business case for user-centred decisions.
• Cultural intelligence: You are sensitive to the ways that culture shapes how people talk about their experiences, and you adjust your research approach accordingly.
• Org Mover - Your research is not theory alone, you know how to make things tangible, bite sized and move people and work forward. 
• Embrace difficult conversations - Driving research impact is as much about doing good research as it is about convincing people to see things your way. You work with people both easy and difficult to collaborate with to make great experiences come alive. 

Nice to Have

• MSc or PhD in Psychology, Anthropology, Sociology, HCI, Cultural Studies, or a related human behaviour field.
• Experience in high intensity consumer products, marketplaces, gaming, financial services, with some degree of experience in trust and safety is useful. 
• Experience with specialist qualitative methods: semiotics, discourse analysis, narrative research, or video ethnography.
• Proficiency with qualitative analysis tools: Dovetail, NVivo, MAXQDA, Atlas.ti, Reduct.
• Experience building or managing qualitative research panels or longitudinal participant communities.
• Published work or conference presentations in a qualitative research or HCI venue.

Why This Role at Superbet

Sports is one of the richest contexts for qualitative research: the experience is emotionally intense, socially embedded, culturally specific, and morally complex. Users have contradictory motivations. Their stated and actual behaviour diverge. The moments of joy and frustration are extreme. Understanding all of this deeply, not just what users click, but why they feel what they feel - is what separates good product decisions from great ones.

• Access to a diverse, passionate user base across 12+ markets - every cultural context brings new research challenges.
• A team that values qualitative rigour and won't ask you to reduce everything to a number.
• Senior visibility: your insights will be read by the CPO and product leadership, not just deposited in a repo.
• A Principal Quant Researcher as a genuine peer - someone to build with, argue with, and create better mixed-methods evidence with.
• Competitive compensation at Staff IC level with equity and a genuine investment in your development as a researcher.