engineering director

marketing director

Foleon

<div>Are you ready to make some history?!
Foleon is a leading content creation platform providing business teams with a fast and scalable way to produce highly-engaging content experiences that bring a new level of intelligence to their customer journeys.
Foleon is based in Amsterdam and New York and serves more than 1,200 global B2B brands.
We value people who are bold, ambitious, collaborative, and customer-centric. Even better, the ones who know how to work hard and have fun at the same time. We&rsquo;re a team of highly driven people, with a great sense of human connection and a clear focus.
If you&rsquo;re looking to build your career in a fast-growing international tech scale-up, you&rsquo;re in the right place. 
Your Mission
Foleon is a B2B SaaS content platform in the middle of a deliberate transformation: rebuilding as a truly AI-native solution that works deeply with generative AI and LLMs. It&rsquo;s an exciting moment, and it creates real opportunity for someone who knows how to move fast with the right tools.
This is a revenue job for an AI-native operator. You build, test, and optimize. You use AI to do more with less, and you&rsquo;ve already proven it. Pipeline ROAS, payback periods, and CAC are how you keep score. You&rsquo;re not here to craft a brand story in isolation. You&rsquo;re here to engineer a GTM motion that compounds.
You&rsquo;ll lead a team of eleven Markteters across four functions: Demand Generation, Product Marketing, Customer Marketing, and Brand. You report to the Chief Revenue Officer and sit on the commercial leadership team.
Why This Role Exists Now
Over the last four years, Foleon has built something meaningful: a platform that enterprise teams trust to create, personalize, and measure content at scale. That foundation is solid.
The next step is a significant one. We&rsquo;re evolving from the world&rsquo;s most powerful enterprise content creation platform to an enterprise AI content creation platform, built natively around generative AI. The GTM motion, the messaging, and the channels all evolve with it. We&rsquo;re not starting over. We&rsquo;re building on something real, with more product capability behind us than we&rsquo;ve ever had.
What You&rsquo;ll Own<ul><li>
Demand Generation: You own pipeline yield across inbound and outbound channels. You build diversified acquisition programs with a clear view of where each dollar produces return. CAC, pipeline velocity, and multi-touch attribution are yours, and you make them legible to Sales and the executive team. You run a disciplined A/B testing program as a standing practice, with documented hypotheses, cadence, and outcomes. You look for experiments that can move the needle significantly, not just optimize at the margins.A meaningful part of the demand strategy will be owned channels. You understand how to build pipeline through organic LinkedIn content, executive thought leadership, and the kind of dark funnel presence that shapes buyer consideration before anyone fills out a form. You have a plan for how social and community-driven awareness converts to commercial outcomes, and you can execute it. 
</li><li>
Product Marketing: You own the product story. Right now, that means evolving the core value proposition as Foleon&rsquo;s AI capabilities reshape what the platform can do. You work directly with Product to keep the narrative current with the roadmap, build the messaging frameworks Sales uses to win, and run GTM for every major release. You have a point of view on positioning and know how to make it land across internal and external audiences.Part of that positioning work includes how Foleon shows up within the broader AI and content technology ecosystem. You&rsquo;ll look for partnership angles with complementary MarTech and AI platforms, not as a product integration priority, but as a way to build presence, credibility, and referral surface in the spaces where our buyers already operate. 
</li><li>
Customer Marketing: You build a data-driven, AI-native Customer Marketing function. You draw on signals from New Business and Expansion motions, including engagement patterns, product usage, and lifecycle stage, to run segmented campaigns that drive adoption, expansion, and retention. Customer Marketing here is a commercial channel, not a retention afterthought. Campaigns are personalized, measurable, and tied to revenue outcomes. You also lead programs that reduce churn and extend customer lifetime value, working closely with Customer Success on strategy and execution. 
</li><li>
Brand: You approach Brand as an extension of Product, not a separate creative exercise. Foleon&rsquo;s brand should demonstrate what the product does and what customers can achieve with it. You&rsquo;re not optimizing for aesthetics or clever copy in isolation. You&rsquo;re building a brand that makes the product legible, credible, and compelling to the buyers we want. You shape how Foleon is perceived across every surface: website, content, sales materials, events, and social.A significant part of this is Foleon&rsquo;s external voice. You&rsquo;ll own the strategy for how our executive team shows up on LinkedIn and at industry events. You&rsquo;re comfortable being on stage yourself, and you know how to build and coach an organic content program that generates genuine reach, not just impressions. The goal is a brand that earns attention in the market, not one that buys it.</li></ul>
Cross-Functional Partnerships
This role operates across the full commercial organization. You&rsquo;ll work in close partnership with Sales on pipeline quality and GTM alignment, with RevOps on funnel instrumentation and attribution, with Finance on budget allocation and efficiency modeling, and with Corporate Development when marketing data informs strategic decisions. You&rsquo;ll also collaborate with Product on roadmap narrative and Customer Success on lifecycle programs. You show up to those conversations with your own analysis, not just requests. 
Your Competencies &amp; Skills<ul><li>
Demand generation depth: diversified acquisition programs across inbound and outbound, full ownership of the channel mix, and fluency in multi-touch attribution and ROAS reporting</li><li>
A/B testing and experimentation as a standing discipline: structured cadence, documented hypotheses, and outcomes that inform ongoing strategy</li><li>
Customer Marketing experience: segmented, lifecycle-driven programs with measurable expansion and retention results</li><li>
AI-native operating mindset: you&rsquo;ve built capabilities and workflows within a marketing team using AI, and have a clear view of where it changes the leverage equation</li><li>
Product Marketing credibility: messaging repositioning, competitive frameworks, and product launches that moved the business</li><li>
Brand leadership that connects product value to market perception, not just visual and tonal consistency</li><li>
Organic social and dark funnel experience: you&rsquo;ve built LinkedIn content programs that generated pipeline, and you&rsquo;ve developed executive thought leadership strategies that created real commercial presence</li><li>
Strong communicator and presenter; able to report clearly to leadership and board on marketing metrics and strategy</li></ul>
Your Qualifications<ul><li>
5+ years in B2B SaaS marketing or experience leading Marketing for an AI-Native solution, with at least 4 years in a senior leadership role owning multiple functions simultaneously</li><li>
Proven track record driving revenue contribution with clear attribution, not just pipeline generation</li><li>
Comfortable being a public face of the company: on stage, on camera, in the market</li><li>
Fluency in the modern martech stack: HubSpot or Marketo, Salesforce, attribution platforms, AI-powered content and campaign tooling</li><li>
Comfortable working in close partnership with Sales, RevOps, Finance, and Corporate Development; not protective of marketing&rsquo;s lane and fluent in the language of unit economics and budget modeling</li></ul>
Preferred:<ul><li>
Experience at a content, digital experience, or marketing technology platform</li><li>
Exposure to both mid-market and enterprise sales motions</li><li>
Experience using AI agent outputs from sales or CS workflows to inform marketing programs</li><li>
Familiarity with the AI and MarTech ecosystem and an existing network within it</li></ul>
Perks:
<ul><li> Hybrid working: Work 3 days in the office and the rest where you feel most productive. Plus, receive a monthly WFH allowance.</li>
<li> Commuting covered: Not living in Amsterdam? We&rsquo;ve got you. First-class travel is covered if your direct train ride is over 45 minutes (within the &euro;400 budget).</li>
<li> Pension program: You're not in this alone, we also contribute to your pension plan!</li>
<li> Learning budget: You&rsquo;ll get &euro;500 each year to spend on courses, books, workshops, or anything that helps you grow.</li>
<li> 25 holiday days: You&rsquo;ll get 25 paid days off, and if Christmas or New Year&rsquo;s falls on a weekend, you get an extra day. + Special days off!</li>
<li>️ Floating holidays for inclusivity: Celebrate what matters to you. Move up to 2 public holidays per year to align with your cultural or religious observances.</li>
<li> Work from abroad: 2 times a year, you can work from another country for up to 3 weeks.</li>
<li> Office lunch: We&rsquo;ll cover part of the cost of lunch at the office twice a week.</li>
<li> Fitness support: Stay active with up to &euro;25/month toward your workouts, whether you&rsquo;re into spinning, lifting, or just stretching.</li>
<li> Lease a bike: Need a new ride? Lease (e)bike for commuting or personal use at an affordable rate.</li>
<li> Mental health matters: We offer access to a mental health platform and professional counseling.</li><li>
❤️ Volunteer day: Take a paid day off each year to give back and support a cause close to your heart.</li>
<li> Employee recognition program: Get the kudos you deserve through our recognition program.</li></ul>
Note: All our hiring is done in-house, so we&rsquo;re not looking for agency support for this role. Thanks for understanding!</div>

Marketing Director

Vinted

<div>
 
 Brief Info About Vinted
 
 
 
 Our mission is to make second-hand the first choice, and we're looking for people who want to help us get there. Every day, we work together to help our members buy and sell pre-loved clothing and lifestyle items, giving each piece a second life &ndash; or even a third.
 
 
 The Vinted Group is made up of three business units that support this mission:
 
 
 
 Vinted Marketplace
 
 is Europe&rsquo;s leading platform for second-hand fashion and a go-to destination for all kinds of pre-loved items, with a growing range of categories. Our platform connects millions of members across 20+ markets, helping great items find a new life.
 
 
 
 Vinted Go
 
 enhances the shipping experience with a vast network of over 500,000 pick-up and drop-off points, partnering with more than 60 carriers across Europe, with added services like item verification for peace of mind on high-value pieces.
 
 
 
 Vinted Pay
 
 is the newest part of the Vinted Group, dedicated to bringing secure, reliable payments to buyers and sellers across Europe. Seamlessly integrated into the Vinted app, it helps keep every transaction safe, efficient, and easy for our members.
 
 
 Founded in 2008 in Lithuania, Vinted began as a way for friends to find new homes for clothes they no longer needed. In 2019, we became Lithuania's first unicorn! Today, our headquarters remain in Vilnius, and we've grown with offices across Europe, supported by a team of over 2,000 people.
 
 
 
 Information About The Position
 
 
 
 Vinted&rsquo;s
 
 Marketing domain
 
 is growing - we&rsquo;re on a mission to make Vinted known and loved as the go-to destination for everything second-hand. Marketing is one of the primary drivers behind our biggest strategic goals, from
 
 winning the USA market
 
 to expanding beyond fashion into a
 
 multi-vertical platform
 
 .
 
 
 We&rsquo;re looking for 2 x
 
 Data Scientists
 
 to join our
 
 Marketing Modelling Intelligence
 
 team to hands-on build, refine, and scale our core predictive and explanatory models. In this role, you will be the technical engine behind our Bayesian Media Mix Models (MMM), user value machine learning models, and advanced statistical frameworks. Your focus will be on engineering robust, high-performing models that transform complex data into the precise insights our domain relies on.
 
 
 
 In this position, you&rsquo;ll
 
 
 
 <ul>
 <li>
 Evolve Our Marketing Measurement: Code, calibrate, and scale our Bayesian Media Mix Models (MMM) and ROI frameworks to unlock precise business insights.
 </li>
 <li>
 Build and Deploy Core Models: Build and maintain sophisticated econometric and statistical models (MMM, GMV, engagement) to quantify marketing impact and guide multi-channel growth.
 </li>
 <li>
 Automate Model Validation &amp; Health Monitoring: Design automated frameworks and reliability metrics that continuously monitor model health and ensure long-term accuracy.
 </li>
 <li>
 Build Next-Gen, Automated Capabilities: Drive the ambition toward intelligent data products [such as self-healing MMMs] using modern AI and automation to optimize model runtimes and scale our ecosystem as Vinted grows.
 </li>
 <li>
 Partner Decision Scientists &amp; Marketing Leadership: Act as the core technical partner, translating complex mechanics into clear concepts and helping the team connect model outputs to robust business decisions.
 </li>
 <li>
 Champion Modelling Excellence: Maintain a high bar for code quality, rigorous validation, and reproducibility to ensure our data science practices remain clean and trusted.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Proven Data Science Experience: Hands-on experience focused on advanced statistical, econometric, or time-series modelling (experience in marketing measurement/MMM is an advantage).
 </li>
 <li>
 Deep Theoretical Knowledge: Strong foundation in advanced statistics, causal inference, and regression. Familiarity with probabilistic programming (e.g., PyMC) is a major plus.
 </li>
 <li>
 Research-to-Application Mindset: Ability to read scientific papers, explore state-of-the-art techniques, and replicate or adapt advanced methodologies to solve complex problems.
 </li>
 <li>
 Production-Grade Engineering: Highly proficient in Python, with a passion for building models as data products. You design your pipelines and code so they are modular, reproducible, and easily used or extended by other scientists.
 </li>
 <li>
 Business-Minded Tech Partner: You care deeply about the why behind your code, naturally connecting technical model outputs to commercial metrics and business outcomes.
 </li>
 <li>
 Educational Background: A Master&rsquo;s or PhD degree in a highly quantitative discipline (Statistics, Econometrics, Mathematics, Data Science, or similar).
 </li>
 <li>
 Impactful storyteller: A charismatic and confident presenter who navigates any topic&rsquo;s technicality, actively driving and facilitating strategic business conversations across both technical and leadership audiences.
 
 
 </li>
 </ul>
 
 Work perks
 
 
 
 <ul>
 <li>
 The opportunity to benefit from our share options programme
 </li>
 <li>
 25 days of paid annual leave
 </li>
 <li>
 Newest MacBook models
 </li>
 <li>
 Confidential Employee Assistance Program (EAP) for you and your family
 </li>
 <li>
 Frequent team-building events
 </li>
 <li>
 Home office support: we provide IT workstation equipment and a personal budget of up to &euro;540 for home workplace furniture
 </li>
 <li>
 Lunch benefit per working day
 </li>
 <li>
 Access to a discounted gym membership plan
 </li>
 <li>
 A personal monthly budget for shopping on Vinted
 </li>
 <li>
 Collective Defined Contribution Pension plan
 </li>
 <li>
 NS Business Card for your commute to the office by public transport
 </li>
 <li>
 The opportunity to spend up to 90 days per year - 21 of which can be spent working outside of the EU - on workation
 </li>
 <li>
 A dog-friendly office
 
 
 </li>
 </ul>
 
 Working at Vinted
 
 
 
 
 Individual Learning Budget
 
 
 
 We invest in your professional growth! As part of our commitment to continuous learning, we offer an annual learning budget to support your personal and career development through courses, certifications, workshops and more.
 
 
 
 Hybrid Work
 
 
 
 We&rsquo;ve adopted a hybrid workplace model where 2 days in the office are recommended but not enforced. It&rsquo;s up to you and your team to decide on the exact days you&rsquo;ll spend working together in person.
 
 
 
 Equal Opportunity
 
 
 
 The Vinted Group is committed to building an inclusive workplace where people from all walks of life feel a sense of belonging. We welcome applications from people of all backgrounds, identities and life experiences. At Vinted, all applicants are treated fairly without regard to their race, age, religion or belief, sex, national origin, citizenship, gender identity, sexual orientation, disability, or any other protected characteristic.
 
 
 The annual gross salary range for this position is:
 
 
 &euro;53.900&mdash;&euro;91.500 EUR
</div>

Data Scientist, Marketing Modelling Intelligence

Yellowgrape

<div><div><div><div><h2 class="jobSectionHeader">Van voorspelling naar impact: bouw modellen die marketing slimmer maken.</h2></div><div>
&ndash; To be considered for this role, you must already live in the Netherlands. Unfortunately, we are not able to support relocation or applications from abroad &ndash;
&zwj;Ben jij in staat om grote hoeveelheden data om te zetten in waardevolle inzichten? Heb je ervaring met het ontwikkelen van voorspellende modellen en het automatiseren van analyses? Dan hebben wij d&eacute; perfecte job voor jou bij Yellowgrape!
Als Data Scientist speel je een sleutelrol in het ontdekken en voorspellen van trends, gedrag en behoeften. Je werkt aan onderwerpen als Marketing Mix Modelling, attributiemodellering en incrementality testing. Soms betekent dat een model bouwen. Soms betekent het juist dat je een complexe analyse terugbrengt naar &eacute;&eacute;n kraakheldere keuze: doorgaan, bijsturen of stoppen.
Met jouw expertise voeg je waarde toe aan diverse use cases. Je werkt nauw samen binnen het Data &amp; Intelligence team met data consultants, -analysten en -engineers om geavanceerde oplossingen te ontwikkelen die zowel de effici&euml;ntie verhogen als de impact van marketingcampagnes maximaliseren. Bij Yellowgrape krijg je de kans om je stempel te drukken op innovatieve projecten en bij te dragen aan het succes van onze klanten.</div></div></div>
<div><div><div><h2 class="jobSectionHeader">
Waar jij blij van wordt in je rol</h2></div><div><ul><li>
Marketing Mix Modelling om de impact van kanalen en budgetverdeling beter te begrijpen;</li><li>
Attributiemodellering, zodat we verder kijken dan last-click en omzetwaarde eerlijk te verdelen over touchpoints heen;</li><li>
Incrementality testing om te toetsen welke campagnes, kanalen of experimenten aantoonbaar extra waarde opleveren;</li><li>
Predictive analytics voor onder meer klantwaarde, churn, herhaalaankoop en groeikansen;</li><li>
Heldere analyses en visualisaties die marketeers, strategen en klanten direct kunnen gebruiken.</li></ul></div></div></div>
<div></div><div><div><div><h2 class="jobSectionHeader">Zo pas jij goed in deze rol</h2></div><div><ul><li>
Minimaal 2-3 jaar ervaring als Data Scientist, Data Analyst met modelleringsfocus of relevante werkervaring met statistiek of econometrische modellen;</li><li>
Je comfortabel werkt met Python, SQL en data-analyse;</li><li>
Marketingdata interessant vindt en snapt dat context net zo belangrijk is als techniek;</li><li>
Kritisch kijkt naar aannames, datakwaliteit en meetbaarheid;</li><li>
Helder communiceert met zowel technische als niet-technische collega&rsquo;s;</li><li>
Energie krijgt van samenwerken in multidisciplinaire klantteams.</li><li>
Je hebt ervaring met cloud platforms (bij voorkeur Google Cloud-stack);</li><li>
Bekend met Bayesian modelling of andere statistische methoden</li><li>
Vloeiend in Nederlands en Engels (zowel mondeling als schriftelijk);</li><li>
Je wilt graag werken in een organisatie die door cultuur wordt gedreven;</li><li>
Je kijkt ernaar uit om te werken in een betrokken team;</li><li>
Je bent in staat om problemen te identificeren, bespreekbaar te maken en op zoek te gaan naar oplossingen;</li><li>
Je bent minimaal 32 uur per week beschikbaar.</li></ul></div></div></div>
<div><div><div><h2 class="jobSectionHeader">Wat jij van ons mag verwachten</h2><h2 class="jobSectionHeader">
Je zoekt geen baan, je zoekt een plek waar je werk ertoe doet &eacute;n je jezelf kunt zijn. Hier is wat je bij ons mag verwachten.</h2></div><div><ul><li>
Je werkt vanuit ons gezellige kantoor in Amsterdam of Berlijn, beide in het bruisende hart van de stad;</li><li>
Via ons exchange programma kun je tijdelijk switchen tussen Berlijn en Amsterdam, een unieke kans om cultuur en werkervaring te combineren.</li></ul><h5 class="jobSectionHeader">
Groeien als professional &eacute;n als mens</h5><ul><li>
Jij krijgt de ruimte: veel verantwoordelijkheid, vertrouwen en de vrijheid om zelf initiatief te nemen;</li><li>
We coachen je op zowel persoonlijke groei als competentieontwikkeling, zodat je steeds dichter bij je volle potentieel komt;</li><li>
Je werkt met het TMA Talentmanagement programma, waarbij we jouw aangeboren drijfveren en talenten inzetten om jou elke dag in je kracht te zetten;</li><li>
Er zijn volop opleidingsmogelijkheden om te blijven groeien in jouw vakgebied.</li></ul><h5 class="jobSectionHeader">
Een eerlijk salaris &amp; transparante voorwaarden</h5><ul><li>
Je ontvangt een eerlijk en transparant salaris op basis van het Baarda beloningsmodel, afgestemd op je toegevoegde waarde;</li><li>
Amsterdam: 25 vakantiedagen + 8% vakantietoeslag;</li><li>
Berlijn: 28 vakantiedagen;</li><li>
Een Apple MacBook in bruikleen voor je dagelijkse werk;</li><li>
Reiskostenvergoeding en een pensioenregeling, afhankelijk van je standplaats (Amsterdam of Berlijn).</li></ul><h5 class="jobSectionHeader">
Fit, gefocust en vol energie</h5><ul><li>
Elke dag een verse, gezonde lunch op kantoor;</li><li>
Goede koffie? Die komt van een lokale branderij uit Amsterdam: ambachtelijk gebrand en altijd vers</li><li>
Blijf fit met ons sportschool abonnement of doe mee via het fietsplan.</li></ul><h5 class="jobSectionHeader">
Samen werken, samen vieren</h5><ul><li>
We zijn een gecertificeerd 'Excellent Workplace' door 2DAYSMOOD en daar zijn we trots op;</li><li>
Vrijdagmiddagborrels, feestjes op de Yellowgrape-sloep en inspirerende teamuitjes zorgen voor verbinding en plezier;</li><li>
We werken volgens onze eigen holacratische werkwijze: de Yellowcratie. Dat betekent veel autonomie, duidelijke rollen en samenwerken op basis van vertrouwen in plaats van hi&euml;rarchie.</li></ul></div></div></div></div>

Data Scientist

Booking.com

<div>Role Description:

This role does not come with relocation assistance 
About Us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We&rsquo;re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world. 
Role and Team Overview
As a Senior Data Scientist in Ranking and Ads, you will work autonomously on impactful strategic business problems, translating them into data stories and delivering insights that inform business decisions across multiple products. The Senior Data Scientist for this team will specialise specifically in Ads. You will design and interpret experiments to guide long-term strategic decisions, build proofs of concept and prototypes, and actively manage stakeholders from operational to Director level. You'll collaborate cross-functionally with Product, Engineering, and Data Engineering teams, writing high-quality, reproducible code to ensure your work lands impactfully and enables solid decision-making across leadership. 
Ranking and Ads Insights is a new and expanding, highly commercial team providing Data Science and Analytics support within Marketplace. Our mission is to power Ads across Booking.com and support Ranking ML teams to show the right properties to the right people. 
Our work enables partners to reach travelers at the perfect moment while preserving customer experience and driving commercial impact. This is a unique opportunity to apply your business awareness to high-stakes initiatives, ensuring your work not only solves complex data problems but actively shapes the strategy for the Ads part of our scope in particular. 
You&rsquo;ll work in a cross-functional team alongside Machine Learning, Data Engineering, and Data Management to support our product vision. Strong commercial acumen and stakeholder management will ensure that your work is impactful and drives business results. 
To get a flavor of the Data Science &amp; ML work at Booking, check out our blog here. 
Key Job Responsibilities and Duties<ul><li>
Responsible for defining the strategy and vision for generating impact in one or more Data Science solutions by driving it from ideation to prototyping to full productionisation.</li><li>
Responsible for proactively identifying and autonomously prioritizing impactful strategic business problems, translating them into data stories and solving them effectively by applying suitable statistical data analysis and modeling methods. Leverages input from product stakeholders in all of the above to determine the right technical solutions to deliver customer value. May seek guidance from the manager on complex business problems.</li><li>
Responsible for driving key projects within the scope of their team to deliver work that informs business decisions across multiple products / business topics in parallel and/or core products / business topics of the area they work in, while self-prioritizing at high velocity. Regularly collaborating across multiple teams.</li><li>
Responsible for designing and interpreting quantitative experiments to objectively drive long-term strategic business decision making.</li><li>
Responsible for autonomously identifying and managing a broad range of stakeholders, from operational to senior managerial roles and, as required, Director level stakeholders. Maintains effective communication, addresses stakeholder needs, and conveys complex analysis results clearly. Continues to guide less experienced colleagues in all of the above, but may seek guidance from the manager in complex situations with senior stakeholders.</li><li>
Responsible for exploring and modifying existing internal and external Data Science approaches. Makes these solutions reusable by designing for easy adoption and proactively educating and upskilling peers on how to effectively utilize these solutions in their work.</li><li>
Responsible for incorporating scalability, reproducibility and long term orientation in the work they do. Regularly sharing best practices with peers in their area.</li><li>
Responsible for acting as a force multiplier for peers in their area by actively helping them with their craft through means of coaching, mentoring and setting a good example.</li><li>
Responsible for contributing significantly to the community of their area by thinking of and implementing ways to make other data professionals more effective (ie. group trainings, community projects), actively participating in community strengthening activities (ie. recruitment) and connecting their area to the rest of the business.</li><li>
Must have a deep understanding of the larger data ecosystem at Booking and how it relates to the work they do.</li><li>
Responsible for proactively collaborating with peers in related crafts (ie. Data Engineering) on all projects owned by their team, anticipating data needs to maintain smooth execution of projects.</li><li>
Responsible for having significant deep knowledge about the operational, tactical and strategic goals of their area (ie. track / vertical) and be knowledgeable of the goals of their wider area (ie. Business Unit).</li><li>
Responsible for ensuring quality of their own work by validating it through peer review.</li><li>
Responsible for influencing business decisions within their wider area (ie. track / vertical).</li><li>
Must be a subject-matter expert in one area of Data Science (ie. methodology, technology) and its application as an end-to-end product that generates business impact, acting as a go-to Data Science authority for senior business stakeholders of their area.</li></ul> 
Role Qualifications and Requirements<ul><li>
Knowledgeable about statistical properties of (good) metrics, and ability to scalably test them</li><li>
Expertise in experimentation and knowledge of causal inference beyond A/B testing</li><li>
Expertise in SQL, Python and familiarity with other languages like R</li><li>
Experience building libraries/modules in python</li><li>
Familiarity with apis using is good, building/maintaining is great</li><li>
Strong understanding of fundamental machine learning concepts</li><li>
Strong knowledge of reporting/visualization techniques (e.g., Tableau, Graphite, Power BI, etc.)</li></ul> 
Benefits &amp; Perks: Global Impact, Personal Relevance<ul><li>
Annual paid time off and generous paid leave scheme including: parental (22-weeks paid leave), grandparent, bereavement, and care leave</li><li>
Hybrid working including flexible working arrangements, working from home furniture and ergonomic support, and up to 20 days per year working from abroad (home country)</li><li>
A beautiful sustainable HQ Campus in Amsterdam, that offers on-site meals, coffee, and snacks, multi-faith and breastfeeding rooms at the office</li><li>
Commuting allowance and bike reimbursement scheme</li><li>
Discounts &amp; Wallet credits to spend on our products, upgrade to Booking.com Genius Level 3, and friends &amp; family Booking.com discount vouchers</li><li>
Free access to online learning platforms, development and mentorship programs</li><li>
Global Employee Assistance Program, free Headspace membership</li></ul> 
Inclusion at Booking.com:
Inclusion has been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.
 Take it from our Chief People Officer, Paulo Pisano: &ldquo;At Booking.com, the diversity of our people doesn&rsquo;t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It&rsquo;s a place where you can make your mark and have a real impact in travel and tech.&rdquo;
 We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. 
Application Process<ul><li>
The interview process will entail a call with one of our Recruiters and a total of 3 interviews, all conducted via Zoom video conferencing.</li><li>
This role does not come with relocation assistance.</li></ul> 
Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.</div>

Senior Data Scientist - Ranking and Ads Insights

ServiceNow

<div>Company Description 
It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today &mdash; ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500&reg;. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. 
Job Description 
What you get to do in this role:<ul><li>
Build a team of direct Sales Executives to drive rapid new business sales growth in the region</li><li>
Build and drive sales strategy for the region in conjunction with Sales Operations to effectively Go-To-Market including understanding the competitive landscape, presence and strength within the region</li><li>
Actively engage in territory planning, relationship development and opportunity development and driving revenue by supporting and assisting Field Sales Teams in closing opportunities</li><li>
Recruit, coach and mentor team members to drive excellence</li><li>
Development of territories and quota for the sales team and effectively communicate to set performance expectations within the team</li><li>
Manage and report accurate forecast and pipeline to the business</li><li>
Achievement of annual sales goals on a quarterly and annual basis is required</li><li>
Engage and align effectively in C-level meetings in order to properly understand customer business requirements</li><li>
Build effective working relationships with Solution Consulting, Business Units, Professional Services, Marketing, our Partner community and the ServiceNow executive team</li><li>
Retain and grow existing customer base with regular non-sales customer engagement activities to deliver an excellent customer experience</li></ul> 

Qualifications 
To be successful in this role you have:<ul><li>
Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.</li><li>
Extensive track record of new business sales success including presentation and negotiation skills within industry and at C Level</li><li>
Strong success in recruiting, coaching and managing an exceptional sales team</li><li>
Strong strategic thinking including analytical and financial planning skills to meet and exceed quotas and goals.</li><li>
Ownership of accurate CRM reports including current and future quarterly forecasts and opportunity inspection</li><li>
Experienced in driving sales process and drive effective working relationships with Sales Operations</li><li>
Ability to understand the 'bigger picture' and business drivers around IT</li><li>
Ability to build long term strategic and senior level relationships</li><li>
Ability to adapt and work effectively within a rapidly changing and growing environment</li><li>
Demonstrates strong business and financial acumen</li><li>
Built self-motivated sales teams that embrace a culture of collaboration, enthusiasm, and overachievement</li><li>
Champions and promotes top performers, constantly develops and coaches the team and themselves, and topgrades appropriately</li><li>
Proven partner relationships and networks, and ability to grow the impact of revenue streams and territory development through the partner ecosystem</li><li>
Ownership of driving successful pipeline generation activities developed by marketing or the partner community</li><li>
Solid expertise in the FSI sector</li><li>
Fluent in Dutch and English</li></ul> 
JV20 
Additional Information 
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. &copy;2025 Fortune Media IP Limited. All rights reserved. Used under license.</div>

Sales Director, FSI

Mollie B.V.

<div>Lead Solution Engineer - Mollie Connect 
 
Build with us
Since 2004, we've had one clear goal: to make payments and money management effortless for every business in Europe.
Today, more than 250,000 companies use Mollie to get paid, manage money and grow &ndash; with products designed to be simple, scalable, and dependable.
With 950+ Mollies across 14+ locations, we care deeply about autonomy and craft. So we work in small teams, with real ownership, and we trust you to make the right decisions.
We're building for the long term, so we provide the tools you need, processes you can rely on, and a balanced work environment to help you do work you're proud of.
Sound like your kind of place? Let's build together.
Your Impact
You will lead our Solutions Engineering team for Mollie Connect, a team of six, spread across three offices, that bridges Product and our most demanding users: platforms that embed and monetise payments and financial services through Mollie.
Your team operates at the intersection of technology, product, and commercial strategy. You translate complex business requirements into technical solutions and vice versa, from the first pre-sales conversation through implementation and beyond. Your counterparts are CTOs, solution architects, and engineering teams at Europe's most ambitious software platforms, marketplaces, and enterprise organisations.
This is a player-coach role. You'll lead and develop the team while staying deeply hands-on with our most complex and strategic engagements. You'll shape how we sell, how we implement, and how we feed learnings back into the Connect product roadmap.
What you'll ship
Lead &amp; develop the team<ul><li>
Mentor and grow a team of six Solutions Engineers. Own hiring, performance management, and career development in partnership with our HR Business Partner.</li><li>
Define the team's way of working and set OKRs that align with Mollie Connect's strategic priorities.</li><li>
Align closely with Partner Management team leads to ensure seamless collaboration across commercial and technical workstreams.</li></ul>
Pre-sales &amp; consultative selling<ul><li>
Lead upmarket pre-sales / upsell engagements alongside partner acquisition and partner growth managers, acting as a trusted technical advisor to prospects and designing solutions that unlock value.</li><li>
Develop and refine the team's consultative selling approach as we move toward larger, more complex platform partners.</li></ul>
Implementation consulting &amp; technical delivery<ul><li>
Stay hands-on with the most complex integrations, particularly multi-entity setups with unique compliance, regulatory, or architectural challenges.</li><li>
Guide the team in supporting partners from integration design through technical validation and go-live, keeping all stakeholders aligned throughout.</li></ul>
Product &amp; strategic influence<ul><li>
Represent the voice of platform partners in product discussions and contribute to shaping the Mollie Connect roadmap as part of the domain leadership team.</li><li>
Collaborate with Engineering Managers, Partner Marketing, and Product Marketing to ensure our solutions and enablement materials reflect real-world partner needs.</li></ul>
What you'll bring<ul><li>
7+ years of experience in Solutions Engineering, Technical Consulting, Sales Engineering, or a comparable role in the software/SaaS industry.</li><li>
At least 2 years of experience leading a team, whether as a formal team lead or in a senior player-coach capacity. You know how to develop people, set direction, and create the conditions for a team to do their best work.</li><li>
Strong technical acumen. You're comfortable reading and discussing APIs, integration architectures, and technical documentation. You can hold your own in conversations with engineers, architects, and CTOs.</li><li>
Hands-on experience with APIs, webhooks, and modern integration patterns. You understand how platforms are built and how payments fit into broader technology ecosystems.</li><li>
Proven ability in consultative, technical pre-sales. You know how to discover needs, design solutions, and articulate value to both technical and commercial stakeholders.</li><li>
Experience working with complex, multi-stakeholder environments: SaaS platforms, marketplaces, or enterprise organisations with layered decision-making.</li><li>
Comfort with ambiguity and ownership. You thrive in environments where you need to define the path, not just follow it.</li><li>
Fluent in English.</li></ul>
Good to have<ul><li>
Experience in the payments, fintech, or financial services industry.</li><li>
Understanding of compliance and regulatory challenges in multi-entity or cross-border payment setups (e.g., PSD2, KYC/KYB, marketplace fund flows).</li><li>
Proficiency in one or more coding languages. Enough to prototype, troubleshoot, or review integration code.</li></ul>
Grow your way
At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms.
You'll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step.
No matter if you're aiming for promotion, exploring a different career path or building new skills, you'll be supported with the tools, trust and opportunities to grow your way.
Unlock your full potential and join us to eliminate financial bureaucracy
If you're excited by the idea of building what's next, for yourself and for thousands of businesses across Europe, we'd love to hear from you. Apply with your CV (in English) using the form below.
Want a peek behind the scenes? Check out what life at Mollie is really like.
AI at Mollie
We believe in Always Be Shipping, and AI brings that philosophy to life across every team, every role, every day.
AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We're looking for people who are excited to use AI to shape the future of finance with us.</div><div></div>

Lead Solution Engineer

Uber

<div>About the Role
 
 
The Web Infrastructure and Intelligence team is looking for an ambitious Web Data PM to partner with the Web Data Eng team to manage source of truth analytics for Web at Uber. This role will be responsible for owning the roadmap, day-to-day projects, backlog and prioritization of projects used to measure web initiatives across every LOB (ridesharing, delivery and B2B).
 
 
What the Candidate Will Need / Bonus Points
- What the Candidate Will Do -
 
<div><ul><li>Make sure data definitions and documentation are kept up-to-date and accurate, manage communication with over 1,000+ global consumers of data
</li></ul><ul><li>Drive large-scale infrastructural improvements that will improve data fidelity and scalability
</li></ul><ul><li>Work across data science, web data and front-end engineers to groom data across 24+ apps and eng teams.
</li></ul><ul><li>Collaborate with EMs and Mobile engineering across all our lines of business
</li></ul><ul><li>Own the end-to-end product roadmap and sprint planning, driving daily prioritization for a platform processing hundreds of millions in transactions
</li></ul><ul><li>Conceptualize and deploy custom and third-party AI solutions to automate repetitive processes and scale team output
</li></ul></div>- Basic Qualifications -
 
<div><ul><li>Business functional SQL proficiency
</li></ul><ul><li>Proven, code-driven analytics experience (SQL/Python; querying data warehouses; defining metrics) not limited to point-and-click UIs (e.g., Google Analytics/Adobe Analytics).
</li></ul><ul><li>Truth-seeking: you know what the blue sky vision of data is and how to get there. You think the data's job is to tell the truth, not serve any individual team
</li></ul><ul><li>Must have experience in a multinational, multi-business unit corporation
</li></ul><ul><li>Excellent communication and cross-functional collaboration skills
</li></ul><ul><li>Experience writing tickets, product requirements and acceptance criteria for eng teams
</li></ul><ul><li>Experience with marketing measurement and attribution
</li></ul><ul><li>Experience with business intelligence tools like Tableau, Google Data Studio or Looker
</li></ul></div>- Preferred Qualifications -
 
<div><ul><li>Experience with deep linking across platforms including iOS Universal Links and Android App Links, and handling WebViews/deferred deep links
</li></ul><ul><li>Experience with product analytics tools like Mixpanel or Amplitude or similar
</li></ul><ul><li>Experience with logging and observability tools like Kibana, Splunk, Grafana, Data Dog
</li></ul><ul><li>Experience with both web and mobile app analytics.
</li></ul><ul><li>Experience with product and funnel analytics
</li></ul><ul><li>Strong SQL proficiency, with working knowledge of Python or R for data mining/analysis and visualization (and a clear drive to deepen Python skills)
</li></ul><ul><li>Strong interest in leveraging and learning about AI
</li></ul></div>~~ ~~</div>

Product Manager II

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