At Fever, we’re building something exceptional—combining strategy, creativity, and the power of advanced technology to redefine what’s possible in organic search.  By partnering with world-class Product, Engineering, Data and Marketing teams, we leverage cutting-edge tools and data-driven insights to deliver exceptional performance and measurable impact across major search engines and dynamic digital ecosystems.

About the Role:

• You'll be the expert in technical SEO for our transactional ecosystems (feverup.com, white label websites and other Fever group websites) reporting directly to the SEO Manager.
• Analysis, definition and optimisation of the information architecture
• Strong Technical Skills (Crawling, Indexing, Structure data, Core web vitals, HTML, CSS, CDN performance, APIs Automatition…)
• Ensure optimal bot accessibility for the best processing for traditional search engines and LLMs.
• Be up to date with the latest changes on search industry to be able to propose quick actions adapting our sites so that they comply with the latest SEO/GEO requirements
• Take ownership of monitoring, establishing success KPIs and tracking methodologies, including large-scale log analysis with dashboarding and alerting systems (ELK, BigQuery, Splunk or similar).
• Partner with Data, Product and Systems to execute against our technical roadmap
• Design, implement and iterate experiments to increase traffic/ranks at a rigorous pace
• Audit and measure our engineering developments and implement changes to prevent visibility losses on search ecosystems.

About You:

• Proven experience as a technical SEO for ecommerce or similar (at least 5 years working with high traffic websites) and experience providing results from actions
• Experience working with international sites, adapting the global SEO strategy according to the needs of local markets
• Proactive or independent profile capable of self-management
• Being data-driven and kind of a data-geek: clear understanding of data, analytics and metrics with the ability to make data-driven recommendations of actions
• Hands-on experience applying AI/LLMs to build SEO solutions, automate workflows and enhance productivity
• Thorough knowledge of search engine ranking factors, including emerging LLM-powered search ecosystems (RAG, citations, query fan-out) and their optimization strategies
• Knowledge of HTML, JS and CSS required
• Critical thinker and problem-solving skills
• Familiar with industry-standard & enterprise SEO software
• Possess up-to-date knowledge and maintains current SEO practices
• Strong personal ownership, High level of initiative and work well in a team environment
• Excellent Spanish & English written and oral communication skills

Valuable Requirements:

• Understanding of Google Apps Script and Python.
• Knowledge of SQL for data exploitation 
• Experience on workflows automation
• Experience managing teams

Benefits & Perks:

• Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance.
• Opportunity to have a real impact in a high-growth global category leader
• 40% discount on all Fever events and experiences
• Work in a location in the heart of Madrid
• 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 and Spanish Lessons
• We have free  food, drink and fruit at the office!
• Wellhub Membership
• Possibility to receive in advance part of your salary by Payflow

#LI-Hybrid

At Fever, we’re building something exceptional—combining strategy, creativity, and the power of advanced technology to redefine what’s possible in organic search.  By partnering with world-class Product, Engineering, Data and Marketing teams, we leverage cutting-edge tools and data-driven insights to deliver exceptional performance and measurable impact across major search engines and dynamic digital ecosystems.

About the Role:

Forget about acronyms like SEO, GEO, AEO or AEO, we care about impact. We're seeking an AI Search Innovation Strategist obsessed with digging into how LLMs build their answers and defining how to measure it. You'll be focused on testing new tools, MCPs, and platforms, evolving SEO discipline to maximize our brand's authority in the next era.

• Own the strategic evolution of core SEO practices by integrating methods to secure our brand’s authoritative presence across all major LLMs and AI search results.
• Lead testing and measurement: Design and execute testing to decipher how established SEO signals influence LLM citations and generative presence.
• Design and maintain the analytical framework to measure AI visibility performance. Proactively integrate new data sources, external and internal, and provide methodologies to ensure accurate reporting.
• Collaborate intensively with Product and Engineering to ensure our data schema, site architecture, and API feeds are optimally engineered for seamless ingestion and prioritization by AI models.
• Continuously evaluate all new LLM releases, AI models, and emerging platforms (including MCPs), translating industry developments into actionable testing strategies.
• Design and execute PR and community conversation strategies to accelerate and measure LLM perception.

About You:

• You hold a Bachelor’s or Master’s degree in Engineering, Mathematics, Statistics, Data Analytics or Big Data (STEM degree)
• You bring to the table 3-5 years of relevant experience on SEO, demonstrating ownership, attention to detail, and a proactive, self-motivated approach to problem solving
• Strong analytical and quantitative skills as well as a strong bias towards data-based decision
• Your exceptional written and verbal communication skills enable you to excel in cross-functional collaboration and effectively convey complex concepts to diverse audiences with varying backgrounds
• Working knowledge in Python, JavaScript, or other programming languages is required and familiarity with SQL is a plus
• Proficiency in both written and spoken English is a must, while knowledge of additional languages is a valuable asset.

Benefits & Perks:

• Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance.
• Opportunity to have a real impact in a high-growth global category leader
• 40% discount on all Fever events and experiences
• Work in a location in the heart of Madrid
• 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 and Spanish Lessons
• We have free  food, drink and fruit at the office!
• Wellhub Membership
• Possibility to receive in advance part of your salary by Payflow

#LI-Hybrid

About the Team

Growth is the team responsible for promoting the Fever business plan across all Markets and ensuring that our events perform as expected, pushing its growth across the globe.

Our decisions are data-driven from the highest to the lowest strategy level, allowing us to fully understand the Fever business model and how we can leverage this to interact with every single team within the company to grow the business in the expected direction

About You:

• You have a bachelor's in Engineering (civil, industrial, telecommunications, or aeronautics) or a background in Maths, Statistics, Data analytics, or Strategy.
• At least 3 years of experience in a business analytics role.
• A high level of English is required. Spanish is a plus.
• Experience in strategy consulting, investment banking, and strategy or analytics roles at top tech firms is a significant advantage
• Data-driven person who brings numbers to strategic and business decisions
• Generate high business impact based on your decisions
• Excellent interpersonal skills with a proven ability to manage and influence multiple stakeholders while working effectively across teams, disciplines, and business cases.
• Understanding any coding language is preferred (SQL, R, Python…)
• Proactive problem-solver and an opportunity-seeker

About the Role:

• In this role, you will contribute to one of Fever's key markets, focusing on its growth and development.
• Being a Growth Senior Analyst at Fever means working independently and managing your own pipeline of projects within a business line where you can showcase the value you bring.
• Take part in the exponential growth of fever by taking the lead on global projects that will define the future of the entertainment industry
• Enhance the overall company performance across different business departments that work together in the creation of new plans and events
• Define and establish new strategies to increase performance using analytical, business, and strategic skills
• Design end-to-end solutions with daily high impact
• Create, develop, and manage new projects like new business streams, workflows, strategies, and specific departments' growth
• Work with people and projects across different markets, with a special focus on developing new experiences across markets, in a big international atmosphere (up to 40 countries)

 Benefits & Perks:

• Have a real impact on the company's growth and evolution.
• Excellent working conditions with a location in the heart of the Madrid scene.
• Home-office friendly
• Great work environment with a young, international team of talented people to work with.
• 40% Discount on all events on Fever.
• Health insurance and other benefits, such as Flexible remuneration with a 100% tax exemption through Cobee.
• English and Spanish lessons
• We have free food, drink, and fruit at the office!
• Possibility to receive in advance part of your salary by Payflow
• Gympass (Wellhub) Membership
  

#LI-hybrid #LI-fulltime

THE ROLE

As a Senior Data Analyst in NextEnergy Group’s Data & AI team you will lead geospatial analytics projects, mentor junior analysts and deliver high-impact insights across climate, nature and social themes. You will partner with the Environmental Social Governance (ESG) Team and wider business stakeholders; design and maintain robust spatial datasets; develop and manage web based GIS applications; and apply spatial analysis to support due diligence across UK and international investment portfolios. Through the establishment of standardised geospatial processes, auditable data workflows and high quality visualisations, you will strengthen the organisation’s evidence base for ESG reporting and decision making. By delivering actionable insights to stakeholders you will be supporting the company’s digital transformation and sustainability goals.

This role is central to our strategy to become a data-driven, technology-led and AI-infused enterprise.

KEY RESPONSIBILITIES

• Analytics & Insight Generation: Lead spatial and environmental analysis across ESG topics, integrating survey, CAD, consultant and public datasets to identify constraints, risks and opportunities, and translating complex geospatial data into clear, actionable insight for senior stakeholders.
• Reporting & Visualisation: Design, build and maintain dashboards, web applications and high‑quality cartographic outputs (ArcGIS Online, ESRI), ensuring spatial data is visualised clearly, accurately and in line with best‑practice data storytelling for both operational and strategic reporting.
• Mentorship & Best Practice: Champion geospatial data quality, governance and continuous improvement by managing spatial databases, standardising workflows, documenting processes and mentoring junior analysts, fostering a culture of technical excellence, knowledge sharing and continuous learning
• Data Collection & Management: Working with Data Engineering & Data Governance when relevant, own and actively manage spatial and ESG‑related datasets for analysis, ensuring data quality, integrity and compliance with GDPR and other regulation
• Process Automation: Identify opportunities to automate & transform analytics & reporting processes to improve efficiency & scalability
• Collaboration: Work closely with business stakeholders across the group to understand requirements, deliver solutions and support cross-functional projects
• Documentation & Knowledge Sharing: Consistently document geospatial methodologies, analytical workflows and outputs, producing clear guidance and process documentation to support transparency, reproducibility and effective knowledge sharing across the wider team.
• Data Quality & Governance: Support data governance initiatives by validating geospatial datasets, maintaining metadata, and ensuring compliance with internal standards and external regulatory and ESG reporting requirements.
• Continuous Improvement: Stay current with industry trends, analytics best practices & emerging technologies. Proactively suggest enhancements to processes & tools/

SKILLS & COMPETENCIES

To be successful in this role, you will demonstrate:

• Technical Excellence: Advanced proficiency in geospatial platforms (ESRI, QGIS,). Experience with SQL & Excel for data manipulation and with data visualisation tools (e.g. PowerBI). Familiarity with Python, FME and cloud data platforms (e.g. Snowflake)
• Storytelling: Confidence building a story around data insights as well as communicating this with business stakeholders in an understandable and engaging manner
• Analytical & Problem Solving: Ability to interpret complex data and generate actionable insights. Strong attention to detail and commitment to data quality
• Business Acumen: Understanding of the business processes in at least one of our data domains e.g. Asset Management, Investment Management, ESG & GIS
• Leadership & Collaboration: Proven ability to mentor junior analysts and lead cross-functional projects
• Time management & prioritization skills- things can get a little hectic, so the ability to effectively manage yourself and your workload is critical
• Excellent communication skills in English (additional European languages are a bonus) - you must be able to organize your thoughts in a way that others find clear and compelling. Translating & presenting complex technical concepts to non-technical stakeholders. You will be expected to together well-written, grammatically correct emails and other communications. When communicating verbally
• Flexibility- being an effective team player means being flexible in your approach and open to getting involved with new things, even if they are not spelt out in your job description.
• Intellectual Curiosity – we are looking for someone who is truly interested in our profession and has the intellectual curiosity to delve deep into topics and bring fresh ideas to the team.
• Delivery focus – it may sound obvious, but the ability to proactively churn through work at pace and deliver quality outputs matters
• Passion for our mission ‘to generate a more sustainable future by leading the transition to clean energy
• Our values: be a leader, build trust, be responsible, be innovative and ‘bring your alpha’.

EXPERIENCE & QUALIFICATIONS 

• Bachelor’s or Masters degree in Geography, Geographical Information Systems (GIS) or relevant environmental or technical field or alternative relevant educational achievements (e.g. apprenticeships, arts degrees + work experience)
• 4-6 years of experience in data analytics or a similar role
• Dashboard design (PowerBI & Thoughtspot), remote sensing and image processing skills in context of environmental applications and assessment desirable. 
• Experience in geospatial data management and data engineering.
• Experience with ESRI products, including ArcGIS Pro, AGOL Web Maps, Application, Dashboards, Story Boards.
• Familiarity with CAD based software (e.g. AutoCAD), Web-based GIS technologies, coding (Python, R) as well as other desktop GIS software (e.g. FME, QGIS). 
• Experience in renewables/environmental/social assessments and across development, construction and operation stages.
• The right to work in the UK or Italy

WHAT WE OFFER

• A busy role in a supportive team, with plenty of opportunities to learn
• International scope – we operate in over 8 countries
• Hybrid working 
• Competitive base salary and annual discretionary bonus.

HOW TO APPLY

If you are interested in this opportunity, please follow the link to apply or send your application to careers@nextenergygroup.com. If you have been shortlisted for the next stage, we will be in contact within 14 days. 

By selecting “Apply” or sending us your CV, you indicate you have read and acknowledged NextEnergy Group’s Candidate Privacy Notice.

DIVERSITY AND INCLUSION

Our approach to diversity and inclusion is a natural extension of our values. Our entrepreneurial culture inspires us to try new things, be open to different viewpoints and be bold. Our Group is committed to cultivating and preserving a culture of connectedness that values difference and gives space for individual expression. The collective sum of our individual differences, life experiences, knowledge, innovation, self-expression, and talent and hard work form the bedrock of who we are and who we aspire to be.

We are committed to equal employment and advancement opportunity irrespective of race, color, ancestry, social background, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability and gender identity.

ABOUT US

NextEnergy Group was founded in 2007 to become a leading market participant in the international solar sector.  Since its inception, it has been active in the development, construction, and ownership of solar assets across multiple jurisdictions.  NextEnergy Group operates via its three business units: NextEnergy Capital (Investment Management), WiseEnergy (Operating Asset Management), and Starlight (Asset Development). 

NextEnergy Capital manages the Group's investment activities and has invested in over 520 solar plants, exceeding 2GW in capacity across its institutional funds.

• NextEnergy Solar Fund (NESF): Listed on the London Stock Exchange, NESF manages 102 solar and energy storage assets in the UK and Italy, with a total installed capacity of 983MW and a gross asset value of £1,014m.
• NextPower II (NPII): A private fund of 105 solar plants (149MW) focused on Italy, successfully divested in January 2022, delivering net IRRs exceeding its 10-12% target.
• NextPower III ESG (NPIII ESG): A private fund targeting solar infrastructure in OECD countries (e.g., US, Spain, Italy), with $896m raised, exceeding its $750m target.
• NextPower UK ESG (NPUK ESG): A private fund dedicated to new-build solar plants in the UK, with ~£600m raised.
• NextPower V ESG (NPV ESG): A private OECD solar fund investing in solar and adjacent technologies like battery storage. To date, it has raised $745m, targeting $1.5bn ($2bn ceiling).

WiseEnergy® is NextEnergy Group’s operating asset manager.  WiseEnergy is a leading specialist operating asset manager in the solar sector.  Since its founding, WiseEnergy has provided solar asset management, monitoring, technical due diligence and under construction services to over 1,500 utility-scale solar power plants with an installed total capacity in excess of 3.4 GW.  WiseEnergy clients comprise leading banks and equity financiers in the energy and infrastructure sector.  

Starlight is NextEnergy Group’s development company that is active in the development phase of solar projects.  It has developed over 100 utility-scale projects internationally and continues to progress a large pipeline of c.10GW of both green and brownfield project developments across global geographies. 

NextSTEP is the venture capital fund of NextEnergy Group, dedicated to investing in innovative startups in the field of environmental sustainability. The fund primarily focuses on investments in Italy and the United Kingdom but also extends its reach to the rest of Europe and the United States, targeting startups in the pre-seed and seed stages. NextSTEP pays particular attention to emerging entities from incubators, startup accelerators, universities, and research centers, supporting projects that address global challenges in crucial areas such as Climate Change, Energy Transition, CO2 Capture and Sequestration, Circular Economy, Sustainable Cities, Sustainable Mobility, Sustainable Fashion, Waste Management, Water and much more. 

NextEnergy Foundation is a non-profit organisation founded in 2016 by the NextEnergy Group that operates internationally and whose mission is to proactively participate in the global effort to reduce carbon emissions by providing clean energy sources in regions where they are not yet available and thereby contributing to poverty reduction. As the main sponsor of this foundation, the NextEnergy Group donates at least 5% of its consolidated net profits each year. The NextEnergy Foundation has no overhead costs and therefore 100% of the funds raised go to donations for the various projects. Since 2016, in 8 years of operation the foundation has donated more than £1.2 million, supporting over 30 projects in 27 different countries around the world.

Location: Remote in Italy
Travel: up to 40%
Job ID:

The Role:

We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems.  Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.

Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. 

Responsibilities:

• Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
• Lead client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
• This includes working through business needs and mapping Quantum Algorithms (e.g. QAOA, HHL, Grover’s, QFT, VQE) into application code and executing Proof-of-Concepts together with the IonQ Application Engineering team.
• Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
• Navigate competitive objection handling
• Translate business needs expressed by our clients into technical proposals in collaboration with other team members.
• Create sales assets such as slides to explain features of our quantum applications and other IonQ quantum products.
• Assist sales team with driving prospects down the sales funnel.
• Assist with developing a pipeline of opportunities for IonQ’s quantum solutions (across compute, networking, security, sensing and other domains) and quantum applications.
• Lead client workshops to inspire quantum computing engagements and new quantum use case ideas.
• Partner with marketing, developer relations and business development to grow the IonQ footprint.
• Attend industry conferences, as needed, to talk to client and support our booth activities.
• Some travel expected (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities.
• This is a technical sales role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always comes first.

Requirements:

• 10 years of experience leading applied technology initiatives and innovation.  The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer facings skills are critical.
• Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering
• Motivated learner with a strong passion for applied Quantum Mechanics (computing, network, security, sensing and other domains).

Preferred Qualifications:

• Masters or PhD in a STEM field, perhaps adjacent to quantum computing.   This can enable quicker client trust and confidence.
• 5+ years of experience in technical sales or equivalent capacity.  This isn’t a pre-requisite, but helps in transitioning to customer-facing roles.
• Hands-on experience with Qiskit, Cirq or other quantum computing SDKs
• Proficient in Python and Jupyter Notebooks.
• Expert architecture skills across various technologies (“full stack skills”)
• Experience leading technical events

The total compensation package includes base, bonus, and equity.

Role Summary & Impact

As a Data Scientist at WPP Media, you will be a critical force in transforming complex media and marketing data into actionable insights and innovative solutions that drive unparalleled effectiveness and client success. You will leverage cutting-edge analytical techniques, machine learning, and statistical modeling to unravel consumer behavior, optimize campaign performance across diverse channels, and inform strategic decisions for some of the world's leading brands.

Your work will directly contribute to the development of groundbreaking data products and services, and the continuous evolution of WPP Media's data-driven capabilities. You will empower media strategists, planners, and client service teams with predictive models, robust analytical frameworks, and data-backed recommendations, ultimately shaping the future of advertising and marketing in a rapidly evolving digital landscape.

Key Responsibilities

• Design, develop, and implement advanced statistical models and machine learning algorithms (e.g., predictive analytics, natural language processing, time series forecasting, media mix modeling, attribution modeling, audience segmentation, propensity modeling) to address key business challenges in media and advertising.
• Conduct in-depth data exploration and analysis to identify trends, patterns, and anomalies in large and complex datasets originating from various sources (e.g., ad servers, DMPs, CRM, web analytics, social media, walled gardens).
• Collaborate closely with Cloud Engineers to ensure data quality, availability, and pipeline efficiency, and with other stakeholders (e.g., media planners, strategists, client service teams, product managers) to understand business needs and translate them into scalable data science solutions.
• Communicate complex analytical findings, model results, and strategic recommendations clearly and concisely to both technical and non-technical audiences through compelling visualizations, presentations, and written reports.
• Develop, deploy, and maintain robust, scalable, and production-ready data science models, working closely with MLOps and Data Engineering teams for seamless integration, monitoring, and performance optimization.
• Stay abreast of the latest developments in data science, machine learning, artificial intelligence, and media measurement, evaluating and implementing new techniques and tools to continuously enhance our capabilities and deliver competitive advantage.
• Contribute to the continuous improvement of data science practices, methodologies, documentation, and tooling within WPP Media, fostering a culture of innovation and data excellence.

Requirements

• Bachelor’s degree plus relevant industry experience, or a Master’s degree, in a quantitative field such as Statistics, Computer Science, Mathematics, Economics, Physics, Operations Research, or related fields.
• Experience: 2-3 years of professional experience as a Data Scientist, ideally within the media, advertising, marketing technology, e-commerce, or consulting industries.
• Proven experience with the full data science lifecycle, from problem definition, data acquisition and cleaning, exploratory data analysis, model development, validation, to deployment, monitoring, and iteration.
• Demonstrated experience in applying statistical modeling, machine learning to solve real-world business problems with tangible impact.
• Strong Python proficiency with a focus on building production-ready ML systems: clean architecture, reusable modules, testing, and pipeline orchestration. Hands-on experience with data processing (Pandas, NumPy), machine learning frameworks (Scikit-learn, XGBoost, LightGBM, CatBoost), PyTorch, and statistical modeling in production environments.
• Expertise in SQL for querying, manipulating, and transforming large datasets in various database environments.
• Understanding of MLOps principles, including model deployment, versioning, and monitoring.
• Strong problem-solving and analytical skills, with solid algorithmic thinking and a curiosity to deeply explore data and modeling challenges.
• Strong communication skills with the ability to convey complex technical concepts to diverse audiences.

Nice to have

• Experience with cloud platforms such as Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure, including their data and machine learning services (e.g., BigQuery, Sagemaker, Vertex AI, Databricks).
• Experience with MLflow (experiment tracking and model registry), feature stores, and containerized deployment (Docker) is highly desirable.
• Familiarity with data visualization tools (e.g., Tableau, Looker, Power BI) and libraries (e.g., Matplotlib, Seaborn, Plotly) to effectively communicate insights.
• Knowledge of big data technologies (e.g., Apache Spark, Hadoop) is a plus.

Life at WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

While we appreciate all applications received, only those candidates selected for an interview will be contacted.

#LI-Promoted

#LI-Promoted

Who we are looking for

• Outstanding academic background with a master’s degree in Finance, Economics, Engineering, or a related discipline

• Previous experience in a fintech/technology-based environment or multi-family office, private bank, asset manager, or fund administrator is a plus

• Experience with portfolio management or fund accounting systems is a plus

• Tech-savvy, with a strong interest in exploring new technologies

• Knowledge of financial instruments and investment operations acquired through academic studies

• Tools specific to wealth management reporting are considered a plus

• Familiarity with data automation tools (VBA, Power BI, or Python) is considered a plus

• Strong Excel skills

• Highly motivated and proactive, with a hands-on attitude

• Excellent organizational and analytical skills, with strong attention to detail

• Effective communicator with a collaborative and multicultural mindset

• Ability to manage multiple priorities and deadlines in a dynamic environment

• Fluent in English and Italian

• Available for a 6-month internship starting in June 2026

What we offer 

A paid internship in the heart of Milan lasting six enriching months, will help shape you into a well-rounded professional. You will join an international team from 10+ nationalities whom you will interact with daily and at quarterly team-building events.

Join us for an experience that combines professional growth with a positive work environment. Your journey begins here!

Hiring Process

The hiring process at Heritage includes the following stages:

• CV Screening 
• English and Critical Thinking Assessment 
• Cultural Fit Interview 
• Technical Interview 
• Logic & Attitude Assessment 
• Final Interview with the Department Manager
• Offer

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

About the AI Platform Team

The AI Platform Team enables Awin teams to build, ship, and operate AI-powered products safely, consistently, and efficiently.

We focus on the shared platform and enablement layer for AI development across the company. That includes reusable services, internal APIs and SDKs, platform patterns, observability, evaluation support, guardrails, cost visibility, and practical guidance that helps teams move from experimentation to production with confidence.

This is a team for engineers who enjoy building internal platforms, creating paved roads for others, and raising the engineering quality bar for AI development across the organization.

About the role

We are looking for a Senior AI Platform Engineer — Foundations, Reliability & Architecture to join the AI Platform Team and help define, build, and operate the shared platform capabilities that other teams will use to develop AI-powered products.

In this role, you will work on the technical foundations of AI development at Awin: shared services, internal APIs and SDKs, architecture patterns, observability, runtime reliability, and production readiness. You will help shape the platformʼs golden path and make sure it is scalable, supportable, and easy for other teams to adopt.

This role is best suited to a strong platform engineer with solid AI production judgment. We care more about evidence of technical ownership, architectural thinking, and operational maturity than about a specific number of years working with AI.

What You'll Do

• Design, build, and evolve shared AI platform capabilities used by multiple teams
• Define and improve platform architecture, technical standards, and recommended patterns for AI development
•  Build and maintain reusable internal APIs, SDKs, templates, and reference implementations
• Improve the reliability, scalability, and operational maturity of platform-owned services 
• Strengthen CI/CD, release engineering, cloud/runtime patterns, and service lifecycle practices for the platform
• Improve platform observability through better tracing, monitoring, debugging, and production feedback loops
• Help define what production-ready AI services should look like from an engineering and operational perspective
• Work closely with product teams to understand repeated needs and turn them into reusable platform capabilities
•  Make pragmatic build-vs-buy decisions, preferring simple and durable solutions over unnecessary complexity
• Collaborate with Architecture, Security, Product, and engineering teams to ensure the platform is practical, safe, and easy to adopt
• Write clean, secure, well-tested code and contribute to strong engineering practices across the team
• Mentor other engineers and contribute to technical direction, knowledge sharing, and platform thinking within the team

Requirements

• Strong software engineering fundamentals and experience building production systems
• Strong experience in backend and platform engineering
• Strong system design and architecture skills, especially for shared services or internal platforms
• Practical experience owning systems in production, including deployment, monitoring, support, and incident handling
• Strong understanding of reliability, observability, and operational excellence
• Practical experience with cloud environments and modern release engineering practices
• Experience designing reusable APIs, libraries, SDKs, or internal engineering capabilities
• Good practical experience with Python and/or JavaScript / TypeScript
• Experience building or contributing to AI- or LLM-powered systems in production
• Good understanding of LLM integration patterns, model APIs, prompts, and the engineering trade-offs involved in AI systems
• Good understanding of how to make AI systems observable, testable, and ready for production
• Comfortable working across the full lifecycle of a service, from design and implementation to deployment, support, and improvement
• Good understanding of information security and how to design platform capabilities with security in mind
• Comfortable applying unit testing, continuous integration, and continuous deployment
• Strong communication skills, both synchronous and asynchronous
• Comfortable working through ambiguity and helping shape technical direction where the path is not fully defined
• A platform mindset: able to think beyond one team or one feature and design for reuse, clarity, and long-term maintainability

Nice to have 

• Experience building internal developer platforms or shared engineering tooling
• Experience with AI platform architecture, model access layers, orchestration patterns, or reusable AI infrastructure
• Experience with AI observability tools such as LangSmith or similar tracing or evaluation platforms
• Familiarity with evaluation workflows, regression checks, and quality gates for A systems
• Experience with cost visibility, usage attribution, or FinOps-style patterns for AI workloads
• Experience working in environments where multiple teams consume shared services
• Experience improving developer experience through templates, examples, SDKs, or documentation
• Experience introducing standards in a way that improves quality without creating unnecessary process

Tools and technologies you may work with:

• Python
• JavaScript / TypeScript
• Azure / AWS
• LLM APIs
• CI/CD tooling
• Observability and tracing tools
• Internal APIs, SDKs, and shared platform services

Working style

We are looking for someone who enjoys building in a space that is evolving quickly, but who stays grounded in pragmatic engineering and long-term platform value.

A strong fit for this role is someone who:

• Enjoys solving platform problems that help many teams, not just one product
• Thinks in terms of reusable patterns, clear interfaces, and production ownership
• Communicates clearly and keeps others aligned, both sync and async
• Cares about reliability, observability, maintainability, and operational simplicity
• Is comfortable making architectural trade-offs and simplifying complexity
• Avoids overengineering and focuses on durable, high-leverage solutions 
• Is proactive about identifying repeated problems and turning them into reusable platform capabilities
• Enjoys mentoring others and helping raise the engineering bar across the team

Our Offer

• Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves.
• Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately.
• Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
• Meal Vouchers: You will be supported with a certain net sum to spend it on a variety of lunches.
• Health & Wellbeing: The insurance covers several types of health, vision and / or dental treatments for you and for up to one additional family member.
• Remote Working Furniture Package: After 3 months of employment, you will be eligible for a furniture package, which should enable you to set up a proper workplace at your remote working location
• Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program.

Established in 2000, Awin is proud of our dynamic, social and inclusive culture.

Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities.

Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.

Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why  

Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.

#LI-RS1

About the AI Platform Team

The AI Platform Team enables Awin teams to build, ship, and operate AI-powered products safely, consistently, and efficiently.

We focus on the shared platform and enablement layer for AI development across the company. That includes reusable services, internal APIs and SDKs, platform patterns, observability, evaluation support, guardrails, cost visibility, and practical guidance that helps teams move from experimentation to production with confidence.

This is a team for engineers who enjoy building internal platforms, creating paved roads for others, and raising the engineering quality bar for AI development across the organization.

About the role

We are looking for a Senior AI Platform Engineer - Security & Governance to join the AI Platform Team and help define and implement the guardrails, privacy patterns, governance mechanisms, and safe defaults that allow AI adoption to scale responsibly across Awin.

In this role, you will work on the safety and control layer of AI development: AI security patterns, privacy and PII handling guidance, provider and model governance, reusable guardrails, and lightweight readiness mechanisms that improve safety without creating unnecessary process.

This role is best suited to someone who combines strong engineering judgment with real practical experience in security, governance, privacy, or compliance for AI-powered systems. We care more about evidence of sound decision-making and pragmatic implementation than about titles or years in a specific niche.

What youʼll do

• Define and improve practical guardrails and safe defaults for AI-powered systems
• Help shape Awinʼs approach to privacy, PII handling, and data-safe patterns for AI workflows
• Contribute to approved provider and model guidance, including practical validation and usage expectations
• Work with engineers to translate policy, risk, and governance needs into reusable platform patterns and engineering controls
• Help define production-ready expectations for AI systems from a safety, governance, and risk perspective
• Contribute to readiness checks, automated validations, and scalable governance mechanisms that reduce reliance on manual approval processes
• Help improve logging, tracing, and observability practices so AI systems are auditable and safer to operate
• Partner closely with Security, Legal, Architecture, and product engineering teams to ensure standards are practical and proportionate
• Support teams in understanding AI-specific risks such as unsafe outputs, provider misuse, privacy exposure, and poor trace hygiene
• Write clear documentation, patterns, and guidance that help teams apply standards consistently
• Contribute to strong engineering practices across the team through clean code, testing, and collaboration 
• Mentor others and help raise the teamʼs overall maturity in AI safety, governance, and privacy-aware engineering

Requirements

• Strong software engineering fundamentals and experience working on production systems
• Practical experience in security, governance, privacy, compliance, or risk-related engineering work
• Clear hands-on experience applying those controls to AI- or LLM-powered systems
• Strong understanding of AI-specific risks, including privacy exposure, PII handling, unsafe outputs, provider/model risk, and misuse or abuse patterns
• Experience translating policy or risk requirements into practical engineering controls, patterns, or defaults
• Good understanding of how to make AI systems observable, auditable, and safer to operate in production
• Ability to work effectively with engineers, architects, and non-engineering stakeholders such as Security or Legal
• Good practical experience with Python and/or JavaScript / TypeScript
• Comfortable working across the lifecycle of a platform capability, from design and implementation to rollout and iteration
• Good understanding of information security and how to design solutions with security in mind
• Comfortable applying unit testing, continuous integration, and continuous deploymentStrong communication skills, both synchronous and asynchronous
• Comfortable working through ambiguity and helping shape standards where the right balance between safety and speed is still evolving
• Strong judgment and pragmatism, with an ability to improve safety without introducing excessive bureaucracy

Nice to have

• Experience designing or implementing guardrails for AI or LLM-powered systems
• Experience with AI governance automation, readiness gates, policy checks, or preflight validation patterns
• Familiarity with tracing, auditability, and logging standards for AI systems
• Familiarity with evaluation workflows, regression checks, and production readiness practices for AI
• Experience assessing third-party AI providers or model usage from a risk or governance perspective
•  Experience with privacy-by-design patterns in data-sensitive systems
• Experience working in regulated or higher-risk environments
• Experience writing clear developer guidance and turning repeated risk questions into reusable standards

Tools and technologies you may work with:

• Python
• JavaScript / TypeScript
• Azure / AWS
• LLM APIs
• CI/CD tooling
• Observability and tracing tools
• Policy and validation patterns
• Internal platform services, standards, and governance tooling

Working style

We are looking for someone who enjoys building in a space that is evolving quickly, but who stays grounded in pragmatic engineering and long-term platform value.

A strong fit for this role is someone who:

• Thinks clearly about real-world AI risk, not just theoretical concerns
• Can balance safety, speed, and developer experience
• Communicates clearly and helps others understand trade-offs
• Prefers reusable controls and automation over manual gatekeeping
• Is comfortable collaborating across engineering, security, architecture, and legal boundaries
• Writes clear, actionable guidance rather than vague policy language
• Is proactive about identifying risk patterns early and turning them into scalable solutions
• Enjoys helping other engineers build safer systems without slowing them down unnecessarily

Our Offer

• Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves.
• Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately.
• Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
• Meal Vouchers: You will be supported with a certain net sum to spend it on a variety of lunches.
• Health & Wellbeing: The insurance covers several types of health, vision and / or dental treatments for you and for up to one additional family member.
• Remote Working Furniture Package: After 3 months of employment, you will be eligible for a furniture package, which should enable you to set up a proper workplace at your remote working location
• Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program.

Established in 2000, Awin is proud of our dynamic, social and inclusive culture.

Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities.

Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.

Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why  

Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.

#LI-RS1

Purpose of the Position

We're looking for a Senior AI Engineer to help us build the next generation of AI-native products at Awin. The features you'll work on are used directly by advertisers, publishers and partner managers across our global ecosystem to grow and run their affiliate programs things like conversational AI experiences, intelligent automation and decision-support tools built on top of Large Language Models and agent-based architectures.

This is a senior product engineering role where you will own real problems end-to-end, make architecture decisions the team builds on and balance technical depth with the realities of shipping software to customers. We expect you to have an opinion on the system design, the evaluation strategy and the way we operate AI in production.

The Team

You will be joining the AI Solutions team in our Growth Domain. This team is responsible for building AI-native products. Our work is highly visible and every feature you ship can have a real impact on how our customers manage and grow their affiliate programs.

Our engineering culture is built on pragmatic problem solving, strong ownership, fast iteration and a high production bar set through rigorous evaluation, observability and safe-by-default design. We're cloud-first on AWS, working with a Python-based stack that combines agent orchestration, retrieval and standard backend foundations, refreshed as the field moves.

 The team practices scrum and you'll have the opportunity to bring new ideas whether that's a different way to solve a problem, an improvement to how we work or sharing best practices for a new technology within the team.

Along with access to learning platforms, hackathons and cross-team initiatives, you will have plenty of opportunities to learn and gain experience from people across the many other teams within Awin.

What You'll Do

• Design, build and operate customer-facing AI features end-to-end, from conversational experiences to intelligent automation.
• Architect agent-based systems: multi-step reasoning, tool execution, sub-agent orchestration, state management and streaming, structured outputs, persistent memory and human-in-the-loop approval flows.
• Decide how the system grounds, retrieves and constructs context.
• Pick the right pattern (retrieval, structured tools, agentic flows) for each problem and be able to defend the choice.
• Treat prompt and context engineering as first-class engineering work.
• Own AI quality. Build evaluation datasets, regression tests for prompts and agents and the debugging discipline needed to get to root cause across model outputs, retrieval and tool calls.
•  Make AI production-ready: observability, tracing, reliability, cost, latency and the safety controls that protect against hallucination, prompt injection and context leakage.
• Make and explain the trade-offs between accuracy, latency, cost and safety within engineering and product partners. Partner within Product Trio to shape what we build, not just how we build it.
• Turn ambiguous product ideas into concrete technical designs and influence roadmap with what the technology actually makes possible.
• Mentor engineers around you, contribute to design reviews and our hiring bar and raise the standard for what production-ready AI means inside the team.

What You'll Bring

• 8+ years of professional software engineering experience, with a track record of shipping production systems.
• Strong Python and backend system design.
• Real, hands-on experience building and running production LLM-based systems not just prototypes.
• Deep experience with agent-based architectures using frameworks such as LangGraph, the Deep Agents or equivalents with multi-step reasoning, tool use, sub-agent orchestration, state and streaming.
• Strong working knowledge of retrieval and context construction (RAG, embeddings, chunking, ranking) and good judgement about when to use those patterns inside an agentic system.
• A solid track record of evaluating and debugging AI systems: structured evals, regression tests and tracing or observability with tools such as LangSmith or similar.
• Familiarity with emerging agent orchestration standards (MCP or similar). Experience with vector databases and hybrid retrieval.
• A clear understanding of LLM failure modes like prompt injection, content safety, context leakage  and how to mitigate them in real systems.
• Strong fundamentals in distributed systems, API design and cloud-native architectures on AWS (ECS, Lambda, S3, API Gateway).
• Confident with PostgreSQL, Redis, Docker and modern CI/CD pipelines like GitHub Actions.
• A collaborative engineer who's comfortable working in a Scrum team alongside Product, UX and cross functional teams.

Nice to Have

• Experimentation frameworks (A/B testing, offline-to-online metric correlation).
• Cost-aware AI engineering at production scale in monitoring token usage, model selection, caching and routing strategies that keep latency and spend predictable as traffic grows.

Our Offer

• Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves.
• Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately.
• Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
• Meal Vouchers: You will be supported with a certain net sum to spend it on a variety of lunches.
• Health & Wellbeing: The insurance covers several types of health, vision and / or dental treatments for you and for up to one additional family member.
• Remote Working Furniture Package: After 3 months of employment, you will be eligible for a furniture package, which should enable you to set up a proper workplace at your remote working location
• Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program.

Established in 2000, Awin is proud of our dynamic, social and inclusive culture.

Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities.

Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.

Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why  

Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.

#LI-RS1

The Team:

You’ll join the Value Engineering team, a highly technical, strategic, customer-facing group that sits at the intersection of pre-sales, analytics, and transformation consulting. Value Engineers at Celonis are hands-on practitioners. They combine strong technical capability with consulting and stakeholder skills to guide customers through the full value journey — from first demo to long-term adoption and expansion.

The Role:

As an Applied AI Engineer (Pre-Sales) you are pushing the envelope in solving business-critical problems for our customers. You will be working with our most strategic customers, understanding their objectives and key challenges, and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

The work you’ll do:

• AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
• Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude and don’t shy away from complex problems. Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems
• Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform
• Proof projects: End-to-end execution of business-critical Proof-of-Value projects, incl. architecture and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.
• Ensure Successful Project Outcome: Applied AI Engineers stay involved with projects until agreed value & adoption thresholds are reached
• Specialize in Domains or Industries: To scale knowledge across the organization Applied AI Engineers specialize in domains (e.g. supply chain) and industries

The qualifications you need:

•  3+ years of experience leading technical pre-sales, including defining AI roadmaps, building compelling ROI/TCO business cases and prototyping of machine learning and generative AI solutions.
• Understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are used to build high-impact use cases like intelligent chatbots and automated text processors.
• Understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
• Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• Bachelor’s Degree required, Masters Degree in computer science, physics, engineering, mathematics or related fields, or equivalent work experience preferred.
• Hybrid working environment - 3 days per week at our central Milan offices.  

Nice to have (big plus):

• Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.
• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
• Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex)

About Choreograph

Choreograph is WPP’s global data products and technology company. We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation. We work with agencies and clients to transform the value of data by bringing together technology, data, and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising. Our team of thinkers, builders, creators, and problem solvers are over 1,000 strong, across 20 markets around the world. As an Senior SEO Consultant, you will operate within this innovative ecosystem, leveraging data and technology to drive impactful client solutions.

Role Summary and Impact

We are looking for a skilled Digital Analytics & CRO Consultant to lead projects for our high-profile clients. We offer a dynamic work environment where collaboration and innovative digital marketing solutions are at the forefront. 

Key Responibilities

• Proficiency in developing and conveying CRO and Digital Analytics strategies in simple terms.
• Ability to independently draft detailed requirements/implementation documents.
• Clear and proper communication of technical activities to developers.
• Daily use of Adobe Analytics and Adobe Target.
• Daily use of Google Analytics 4, Google Tag Manager, and familiarity with technical implementation as well as data analysis.
• Daily use of tools for user experience intelligence (Contentsquare, Hotjar, Clarity, Lucky Orange…).
• Daily use of tools for experimentation and personalization (VWO, AB Tasty, Optimizely, Dynamic Yield, Convert…)
• Understanding and ability to explain basic concepts of inferential and Bayesian statistics.
• Hands-on experience with Javascript, HTML, CSS.

Requirements

• A clear inclination for continuous learning.
• Knowledge of UX/UI principles and best practices.
• Fluent English language skills, both spoken and written.
• Fluent Italian language skills, both spoken and written.
• Great attention to detail.
• Creative problem-solving and thinking outside the box.
• Effective time management with the ability to balance competing priorities.
• Strong presentation abilities and a commitment to providing excellent customer service.
• Strong organizational abilities.
  
  

Considered as a plus

• Experience with niche digital analytics tools (Piwik Pro, Piano Analytics...)
• Experience with data visualization tools (Looker Studio, Tableau, Power BI…)
• Experience with Data Analysis in Python or R.
• Experience with a Consent Management Platform and/or with common technical privacy issues.
• Daily use of Adobe Analytics and Adobe Target.

Life at WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

While we appreciate all applications received, only those candidates selected for an interview will be contacted.

#LI-Promoted

About the Job

As a key growth accelerator, A11 partners with Europe’s most ambitious startups and scaleups, corporates and SMBs to connect them with top-tier talent ready to make an impact.

We’re looking for an exceptional Engineering Director (m/f/d) to join and lead the engineering department at one of our ecosystem companies.

As Director of Engineering, you’ll lead the technical organization through its next phase of growth, owning architecture, processes, engineering excellence, and delivery across multiple markets - while scaling the team from 30 to 60+ engineers.

Join the A11 Ecosystem – Our Ecosystem company is a fast-growing legal tech company building AI software that helps law firms research, analyse and draft legal work faster and more reliably, with verifiable sources at its core.

In this role, you’ll:

• Lead the engineering organization, balancing product velocity with platform stability and technical debt
• Own the technical strategy and roadmap in close alignment with the Co-Founder and CTO
• Scale the engineering organization, establishing team structures and processes while building a culture where people thrive
• Champion engineering excellence across code quality, testing, incident response, and deployment reliability
• Architect scalable systems to enable our next phase of growth and expansion across Italy, Germany, Spain, and beyond
• Partner closely with product and design to deliver features that drive customer value and retention

Your Profile: 

• 10+ years of experience in software engineering in high-growth startups, ideally in legal tech, fintech, or other highly regulated industries
• 5+ years of experience leading and scaling (3–5x) high-performing engineering teams, ideally from Series A/B to scale-up stage
• Outstanding technical expertise in backend (Python), cloud infrastructure, and data platforms, ideally combined with frontend experience (React)
• Strong hands-on experience with AI/ML systems, including LLM orchestration and RAG architectures
• Clear perspective on how to leverage AI tools (e.g., Claude Code, Cursor, Copilot) in modern software development organizations
• Strong product mindset with a proven ability to translate business goals into engineering strategy
• Excellent communication skills in Italian and English (both fluent)

Please note that this position is based in Milan. Hybrid setups are possible, provided frequent travel is possible.

Benefits and Perks:

• Competitive annual salary range with significant equity participation
• Comprehensive health insurance coverage
• Work in a well-funded legal AI tech company with an ambitious, smart and international team
• Real impact and the opportunity to reshape not only a company, but an entire industry
• Regular team retreats and off-sites
• Hybrid work setting with regular time in our Milan office

If you’re eager to join the A11 Ecosystem and shape what’s next, we want to hear from you!

Our Commitment to Diversity and Inclusion

A11 is committed to diverse and equal opportunities hiring for all – applicants, candidates, and employees alike. We value humans – with all our glorious multifaceted backgrounds, perspectives, and experiences – and look forward to your application.

Join our Movement and Champion Restaurant Culture! 💚

At TheFork we believe that the best things in life happen around the table, and we are on a mission to connect the world’s favorite restaurants and the broadest community of loyal diners.

Finding the best dining experience for our Diners community or boosting restaurant performance for our Restaurateurs Partners has never been easier thanks to our signature products:

• 📱TheFork App: our free restaurant discovery & booking app that helps you find your next table with ease.
• 💻TheFork Manager: our innovative software tool that digitizes restaurant operations, empowering our Restaurateurs to manage bookings efficiently and boost their revenue.
• 💳TheFork PAY and TheFork Gift Card: quick and easy ways to pay directly from TheFork app

At TheFork, we also believe that people truly make the difference. None of this would be possible without our vibrant Forkies community. Our strong core values—Better Together, Ownership, Respect, and Growth—are the guiding principles of everything we do, shaping our behaviors: “Come as you are,” “Dig in,” and “Make it Memorable”.

TheFork leads the restaurant booking market in Europe and operates in 11 countries. Our offices boast a fully international team working together in a flexible, multicultural, and constructive environment that provides everyone with space to grow, both professionally and personally.

To learn more about TheFork and our Forkies, explore our official site: https://www.careers.thefork.com

What you will do:

We are on a journey to revolutionize our data capabilities through the modernization of our Data Platform, unlocking insights and innovations that will power the company’s future.

We’re looking for a Senior Data Engineering Manager who can lead and inspire teams to drive the future of data in our company. If you’re passionate about leading from the front and pushing boundaries, join us on this journey.

You will lead 2 teams composed of Data Engineers and Data Ops to implement and maintain best practices in data processing, according to the Data Lakehouse approach.

You will work closely with Data Governance, Product Management and Architects to drive platform improvements and support the ever evolving needs of data and engineering teams.

You will:

• Own the data platform roadmaps
• Enhance and maintain robust batch ingestion and validation pipelines.
• Participate in our data transformation program taking direct ownership of the creation of a self-service data platform and contributing to the implementation of data governance principles.
• Collaborate with engineering teams to implement engineering best practices within the data ecosystem.
• Lead by example, fostering a culture of excellence and continuous improvement within the data engineering team, ensuring collaboration and alignment with broader business and product objectives
• Mentor and upskill team members
• Contribute to system architecture designs with Architects.
• Coordinate and run Proofs of Concept (POCs).

You will directly report to the Head of the tribe.

You Must Meet These Critical Qualifications

• Proven leadership and mentorship experience guiding data engineering teams.
• Extensive experience with Data Lakehouse architectures and implementation.
• Solid understanding of Data Mesh, including domain ownership, federated governance, and data product design.
• Solid understanding of Data Governance and Quality, covering metadata management, data lineage, and data observability in general.
• Proven experience using AWS services and familiar with infrastructure as code (Terraform).
• Proficiency in Python, SQL, Snowflake and Airflow.
• Experience with data modeling and knowledge of medallion architecture.

You Can Impress With These Additions

• Experience with Apache Iceberg and Delta Lake.
• Realtime data processing at scale.

What we offer you:

😄 An awesome team

🏠 A permanent contract (that can be useful in life)

⚖️ Flexible working environment (2 days home office per week +  up to 4 total weeks additional flexibility during the summer period and in December to work fully remotely)

💸 Competitive fixed salary  & bonus

🍕 Lunch vouchers available for each working day 

🌎 International teams and a multicultural environment spanning 10 offices across Europe

🤝Highly inclusive working environment

🤸‍♀️ Lifestyle benefits that can be used to reimburse  expenses related to physical and leisure activities, family support, travel etc

🎓 Continuous learning and development programs

😌 Free access to the Calm app to help you build resilience wherever you are in your mental health journey

🐣Dedicated parental leave and caregiver leave policies (12 weeks fully paid)

🏥  Health insurance

👩‍🦽 Life & Disability Insurance at no cost to the employee

🍴 Amazing offices with dining, a coffee point on each floor, and leisure area

🎤 Team building events

The Role

To push further our vision of Enterprise AI, we are looking for a senior leader to grow and lead our team of Enterprise Architects. 

This high-impact leadership role demands a unique blend of deep technical expertise, people management experience, and executive presence. You will act as an executive sponsor, confidently presenting to customer C-level executives and helping your team translate strategic goals into actionable technical plans.

Your primary goal is to lead and empower a team that supports our growing sales organization in achieving revenue goals. You will ensure your team successfully unlocks technical blockers by fostering close partnerships with leadership across Sales, Value Engineering, Product Management, Data Ops, and Information Security teams.

Measures of Success

Your success will be measured by your team's impact, including new customer acquisition rates, retention, up-selling, and your overarching contribution to the overall sales team and business success.

The work you’ll do:

• Team Leadership: Hire, mentor, and manage a team of Enterprise Architects who define the overall architecture, data, and cloud strategy for our largest client accounts.
• Executive Engagement: Act as an executive sponsor in pre-Sales and post-Sales phases, presenting strategic visions to C-level executives and engaging with customer Architecture and security teams.
• Drive Strategic Innovation: Guide your team to design architectures that drive enterprise modernization, leverage capability mapping, and explore innovative solutions using emergent technologies like Agentic AI.
• Cross-Functional Alignment: Serve as the leadership bridge between our product & engineering teams within Celonis and client teams to ensure the delivery of premier technical services.
• Ecosystem & Readiness: Oversee the assessment of the IT landscape maturity of our customer installed base and ensure your team effectively coaches Celonis account teams and ecosystem partners on architecture, integration, performance, and scalability.
• Thought Leadership: Direct the development of re-usable assets for projects, as well as customer-facing position papers and thought leadership presentations on architecture and innovation with Celonis.

The qualifications you need:

• Experience: 20+ years of relevant experience, including a proven track record of managing Enterprise Architects or technical teams at a top consulting firm or software vendor.
• Strategic Vision: Proven ability to think strategically, guiding your team to connect technical solutions to business value and customer objectives.
• Communication: Excellent written and verbal communication skills, with a proven track record of navigating complex negotiations and presenting to C-level executives.
• Enterprise Architecture Expertise: Demonstrated experience and deep understanding of Capability Mapping, Enterprise Modernization, and Agentic AI.
• Technical Foundation: Strong background in Data Architecture, system integrations, data operations, automation capabilities, and data-related languages (SQL, Python, etc.). You must be able to comfortably switch from discussing high-level architecture strategy to understanding hands-on demo environments.
• Ecosystem Knowledge: Strong understanding of cloud-native architectures, SaaS solutions (Salesforce, SAP, Dynamics CRM, ServiceNow), cybersecurity posture fundamentals, API ecosystems, and legacy on-premise enterprise architectures.
• Education: MSc degree in Computer Science or an equivalent in an Information Technology-related field.
• Languages: Fluency in English is required; an additional language such as Spanish, French, German, or Italian is a strong advantage.

Preferred:

• Celonis Certifications and extensive leadership experience managing projects with OCPM and Case Centric Data Pipelines.
• Industry standard certifications such as AWS/Azure/GCP, ESB / ETL (Mulesoft, Oracle, SAP, Talend, Informatica), or TOGAF/Zachmann.
• Experience spanning at least two domains (e.g., Finance, Manufacturing, Supply Chain, HR) and at least two industries (e.g., Consumer Goods, Banking, Pharma, Aerospace).

Doctolib is looking for a medical data intern to join the Terminology and ontology team within our Medical Excellence department and contribute to medical initiatives with a direct impact on public health. You will work directly with the Terminology and ontology team leader.

We collaborate closely with healthcare professionals (doctors, physiotherapists, etc.). You will participate in the development of our Patient Mobile App in Italy which enables the patient to book appointments, manage his health data, share them with his medical practitioners and be better-informed on health subjects.

Your missions include, but are not limited to:

• Collect and format the different set of terms we will need to describe pathologies, allergies, treatments… based on standard terminologies (like ICD10 or SNOMED CT)
• Adapt the labels of these terms to provide patient understandable labels
• Translate labels from english to italian
• Choose/filter the terms to use. Validate your choices with medical experts.
• Share your work and methodology with the terminology team and the product team
• Deliver these set of terms to the tech teams using the right format

Expected Qualities for This Role

Before you continue reading, if you don’t have the exact profile described below, but you believe this job description aligns with your skills and needs, we still encourage you to apply! You could be our next collaborator in the terminology team if you have:

• Medical skills (your diploma integrates medical domain learning).
• Medical data or Terminology skills (like ICD10, SNOMED CT…).
• Word and Excel.
• Python programming.
• Attention to detail and rigor.
• Italian speaker.
• Good understanding of French or English to communicate with the Teams.

What we offer

• Tech masterclasses through the internship
• Sports partnership with Fitprime
• Electronic lunch voucher with Pluxee
• Free breakfast in the office
• Up to 2 days remote work per week

The interview process

• An interview with our Talent Partner (30 minutes)
• An interview with the hiring manager (30 minutes)
• A case study with the hiring manager + a team member (1 hour)

Job details

• Internship
• Duration: 6 months
• Location: Milan 
• Start date: July 2026
• This position is eligible for partial hybrid work

At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability.

To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.

Join us in building the healthcare we all dream of! 

All information provided is processed by Doctolib for application management. For data processing details, click here: France | Germany. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.

The Mission

We are looking for a motivated and curious Credit Risk Analyst to join our Credit Risk team and help protect Scalapay, its customers and merchants from credit risk. 

In this role, you’ll play a key part in monitoring and improving the quality of our credit portfolio, identifying risk patterns, and contributing to strategies that reduce credit losses while maintaining a seamless customer experience. You’ll work closely with Data Scientists, Product Managers, Engineers, and Fraud specialists, with real exposure to decision-making and measurable impact on the product.

What You’ll Do

• Monitor and analyze the credit portfolio through data-driven studies, statistical analyses, and reporting.
• Track portfolio performance and trends across customers and merchants, contributing to forecasting and risk insights.
• Oversee and enhance application processing and credit scoring processes, monitored internally at high frequency and developed in collaboration with specialized external providers.
• Leverage Credit Bureau (SIC) data and indicators to support credit decisions and portfolio monitoring.
• Collaborate with the Fraud Management team to detect and prevent emerging fraud patterns and anomalies across the credit lifecycle.
• Contribute to the evolution of credit risk strategies in a fast-growing BNPL environment.
  
  

Who We're Looking For:

Must Have

• A bachelor’s degree in Mathematics, Statistics, Economics, or a related quantitative field.
• Hands-on experience with credit scoring models, tools, and methodologies.
• Strong proficiency in SQL for data extraction and analysis.
• Experience or working knowledge of AWS-based tools (e.g. SageMaker, Feast (open source of Tecton), Amazon QuickSight).
• A solid understanding of credit risk management in financial services, payments, or e-commerce.
• Strong analytical and problem-solving skills, with attention to detail.
• Ability to work effectively in a fast-paced, cross-functional environment.
• Strong written and verbal communication skills in English.
  
  

Nice to Have

• Experience with Python, SAS, R, or similar tools for data analysis.
• Previous exposure to consumer credit markets, particularly in credit risk or application processing.
  
  

 Why you should join Scalapay:

• A high-impact role in a leading BNPL fintech, where your work directly influences product performance.
• Exposure to the entire credit lifecycle, from application to portfolio monitoring.
• Daily collaboration with highly skilled, cross-functional teams.
• Opportunities for professional growth, ownership, and technical development in a dynamic environment.

Recruitment Process:

1. An initial chat with our Talent Team
2. The first interview with the Hiring Manager to dive deep into your experiences and better understand your motivation
3. Interview with our Chief Risk Officer
4. A case study to test your attitude and hard skills
5. A final chat with Simone, our CEO