About Skyscanner

Everyone loves travelling, but planning is not without its challenges ✈️. That's why we've spent 20 years building tools that turn

travel-planning chaos into a breeze. Today, around 160 million travellers count on us every month to skip the whole “47 browser

tabs open” phase and find flights, cars, and hotels quickly and easily 💻.

Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for

all 🌍.

Our vision? To be the world's number one travel ally. (Ambitious? 💪 Yes, but, hey, that's what got us here)

About the role

(Hybrid)

Data has been at the heart of Skyscanner’s decision-making for over 20 years, and now our data platform is stepping into an even

bigger spotlight. You’ll own the foundations that help us turn data into trusted decisions, personalised product experiences, and

measurable business impact at scale.

You’ll keep today’s platform dependable while building what comes next: faster experimentation, production-ready ML and

decisioning, stronger data quality, clearer ownership, and scalable delivery that does not need a small army to keep it moving.

Think platform leadership, product judgement, commercial impact, and just enough travel chaos to keep things interesting.

You can be based in Barcelona, Edinburgh or London where we adopt a hybrid working policy of working in the office twice a week.

What you’ll be doing

Owning a trusted data platform: You’ll lead the reliability, usability, governance, and economic performance of the platform

the whole data organisation depends on.

Making experimentation fly: You’ll ensure product teams can test, learn, and make decisions quickly, with clean

assignment, accurate exposure capture, and confidence in the numbers.

Powering production-ready ML: You’ll help data and ML signals move from promising ideas to dependable traveller-facing

experiences, without bespoke rework every time.

Enabling AI-assisted self-serve analytics: You’ll help create the foundations for teams to ask better questions, find trusted

answers faster, and consume analytics through AI-native experiences grounded in governed metrics, clear definitions, and

reusable knowledge.

Building for agentic data engineering: You’ll shape how AI and automation can support data engineering workflows, from

discovery and documentation to pipeline development, testing, monitoring, incident response, and faster delivery of trusted

data products.

Scaling data delivery: You’ll strengthen how data is moved, transformed, maintained, and served, so Skyscanner can support more

use cases without scaling complexity at the same speed.

Making quality visible: You’ll turn data quality into a managed organisational capability, with clear ownership, measurable

health, and faster issue detection and resolution.

Shaping the operating model: You’ll define the interfaces between data platform, AI platform, product engineering, analytics,

data science, and business teams.

Turning platform work into impact: You’ll connect technical investment to outcomes like experimentation

velocity, personalisation, revenue impact, cost control, and better product decisions.

About you

Product platform leader at scale: You’ve led business-critical platforms that many teams rely on, and you know how to make

shared infrastructure trusted, adopted, and economically sustainable.

Product-minded and commercially sharp: You connect platform choices to company priorities, from revenue impact and product

learning to operational risk and ROI.

Confident with data-powered products: You’ve enabled experimentation, ML, decisioning, or similar capabilities where data moves

into real product experiences.

Quality and ownership obsessed: You know how to make standards, measurement, accountability, and support models stick without

wrapping everyone in red tape.

Cross-functional by nature: You build alignment across product, engineering, AI, analytics, data science, and business teams,

while keeping boundaries clear and useful.

Direct and pacey: You move with the speed the business needs, make decisions with incomplete information, and are honest when

something is not working.

Strategic but sleeves-rolled-up: You can zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities,

and get the platform humming.

What it's like here

We are the real deal— no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans ❤️, building things

that help travellers explore the world a little easier 🧭.

Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better — and that the

same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive

workplace where everyone can thrive and products that are accessible to all ✨.

Sound like your kind of adventure? 🚀 Apply now and help us shape the future of travel.

We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any

reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident scheme, please let

your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies

(typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information

on these.

Role

Director of Product - Data Platform and Decision Tooling

Similar Jobs

Senior Product Manager, Agent Builder

WPP

London•Posted: Jul 3•Deadline: Aug 16

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: WPP is looking for a Senior Product Manager to lead Agent Builder, a core capability within WPP Open, our AI-powered marketing platform. This is an opportunity to shape how more than 110,000 users create, configure and deploy AI agents across one of the world's largest marketing organisations. You'll lead the future of agent creation at WPP, making it easier for teams to build, customise and scale AI-powered solutions — from intuitive no-code experiences through to advanced integrations with LLMs, workflows and external tools. We're looking for a curious, technically-minded Product Manager who is excited by AI, emerging technologies and the future of agentic workflows. Whether you've built AI products, developer tools, automation platforms or agent-based experiences, you'll be energised by the opportunity to influence how AI is created and adopted at scale. What you'll do: Reporting into the Senior Director, Product Enablement - WPP Open, your responsibilities will include: Product Strategy and Roadmap: * Define the vision, strategy and roadmap for Agent Builder. * Shape a seamless experience that helps users create and deploy AI agents with confidence. * Prioritise the capabilities that deliver the greatest value, from AI-assisted creation experiences to LLM integrations and workflow automation. * Define success metrics and use data to guide product decisions. Builder Experience and User Insight: * Understand the needs of users ranging from first-time builders to experienced developers. * Use research, analytics and user feedback to remove friction and improve the creation experience. * Lead continuous discovery, validating ideas and testing new experiences with users. Technical Partnership: * Partner with Engineering and Architecture teams to deliver scalable platform capabilities. * Explore emerging AI technologies, agent frameworks and integrations that can strengthen the platform. * Ensure governance, quality and compliance are embedded naturally within the user experience. Delivery and Collaboration: * Partner with Product Owners, Engineering and Design teams to translate strategy into impactful outcomes. * Stay close to delivery through planning, demos and launches to ensure the product vision is realised. * Help accelerate AI adoption across WPP by making it easier for teams to build and scale AI-powered solutions. What you'll need: * Experience building products within AI, platform, developer tooling, automation or workflow environments. * A good understanding of modern AI technologies, including LLMs, agent frameworks, RAG patterns and API-driven products. * Curiosity about how AI agents are designed, built and deployed. * Experience using data, experimentation and customer insight to shape product decisions. * Confidence partnering with engineers and architects to solve complex technical challenges. About WPP Data & Technology Solutions and WPP Open: WPP's Data & Technology Solutions (DTS) team brings together global technology, data and AI expertise to power the future of marketing. WPP Open is our AI-enabled marketing platform, connecting people, data, tools and intelligence in a single ecosystem to help teams work smarter, move faster and deliver better outcomes for clients. WPP Open – our agentic marketing platform | WPP 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. WPP 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. PLEASE READ OUR PRIVACY NOTICE (HTTPS://WWW.WPP.COM/EN/CAREERS/WPP-PRIVACY-POLICY-FOR-RECRUITMENT) FOR MORE INFORMATION ON HOW WE PROCESS THE INFORMATION YOU PROVIDE.

Senior Product Manager, Agent Hub & Catalogue

WPP

London•Posted: Jul 3•Deadline: Aug 16

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: WPP is looking for a Senior Product Manager to lead Agent Hub & Catalogue, a core capability within WPP Open, our AI-powered marketing platform. This is an opportunity to shape how more than 110,000 users discover, trust and deploy AI agents across one of the world's largest marketing organisations. You'll lead how the best agents are surfaced, curated and scaled, helping users find the right solutions while driving AI adoption across WPP. We're looking for a curious, technically-minded Product Manager with a passion for AI and emerging technologies. Whether you've built AI products, marketplaces, discovery experiences or developer tools, you'll be excited by the opportunity to influence how AI is adopted at scale. What you'll do: Reporting into the Senior Director, Product Enablement - WPP Open, your responsibilities will include: Product Strategy and Discovery: * Define the vision, strategy and roadmap for Agent Hub & Catalogue. * Shape how users browse, search, evaluate and launch AI agents. * Use data, research and feedback to improve discovery, engagement and adoption. * Define success metrics and use insights to guide product decisions. Agent Curation and Trust: * Identify and elevate the most valuable AI agents across WPP. * Define quality, trust and certification frameworks that help users adopt agents with confidence. * Ensure governance and compliance are embedded seamlessly into the user experience. Delivery and Collaboration: * Partner with Product, Engineering, Design and Architecture teams to deliver impactful product outcomes. * Explore emerging AI technologies and capabilities that can strengthen the platform. * Help scale AI adoption across WPP by making it easier for teams to find, trust and use AI agents. What you'll need: * Experience building products within AI, platform, discovery, marketplace or developer tooling environments. * A good understanding of AI technologies, including LLMs, agent frameworks and AI-powered user experiences. * Curiosity about how AI agents are created, discovered and adopted. * Experience using data, experimentation and customer insight to shape product decisions. * Confidence partnering with technical teams to solve complex problems. About WPP Data & Technology Solutions and WPP Open: WPP's Data & Technology Solutions (DTS) team brings together global technology, data and AI expertise to power the future of marketing. WPP Open is our AI-enabled marketing platform, connecting people, data, tools and intelligence in a single ecosystem to help teams work smarter, move faster and deliver better outcomes for clients. WPP Open – our agentic marketing platform | WPP 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. WPP 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. PLEASE READ OUR PRIVACY NOTICE (HTTPS://WWW.WPP.COM/EN/CAREERS/WPP-PRIVACY-POLICY-FOR-RECRUITMENT) FOR MORE INFORMATION ON HOW WE PROCESS THE INFORMATION YOU PROVIDE.

AWS Cloud Partner Solutions Architect — EMEA

Databricks

London•Posted: Jul 17•Deadline: Aug 16

As the AWS Cloud Partner Solutions Architect for EMEA, you are the single-threaded technical owner of the AWS ↔ Databricks alliance across the region — today a $220M trailing-year consumption book growing at +69.7% YoY, the largest hyperscaler-driven consumption book in EMEA after Microsoft. You are the named Databricks counterpart that the AWS field (PSAs, PDMs, SAs) routes opportunities to, the convener of the EMEA AWS SME community, and the author of the "better-together" technical narrative for Databricks on AWS. You will engage AWS field and partner leadership, Databricks Field Engineering, and joint customer account teams to drive adoption and consumption of the Data Intelligence Platform on AWS — through executive alignment, large-scale partner enablement, joint product contribution, and multicloud architectural arbitration in our most strategic EMEA accounts. Reporting to: Director, Field Engineering (Partner Solutions Architect). WHAT THE ROLE OWNS: * AWS-sourced pipeline & EMEA AWS consumption growth — act as the single EMEA-wide SPOC for the AWS field. Channel AWS-sourced opportunities into Databricks (FY26: 150+ opportunities, ~$60M ARR pipeline, ~$10M realised, 35 net-new greenfield accounts) and carry the FY27 plan-of-record of +60% YoY growth / $297.86M target. * The EMEA AWS SME community — convene and grow the cross-EMEA group of AWS-deep SAs/SSAs/PSAs (~15–20 members across UKI, France, Spain, Italy, Benelux, Nordics, MEA, Germany). Land the ASQ-scope expansion (SWAT pattern) and run the joint operating cadence with the Databricks TFC at AWS. This is the mechanism that scales the role from single-person execution to field-distributed delivery. * Partner enablement at scale — sustain the training engine that feeds pipeline 2–3 quarters out (300+ AWS Solutions Architects trained in EMEA in FY26; 50+ Databricks xSAs to AWS SA-Associate at zero net cost via the AWS Partner Training ↔ Databricks L&E channel; 0-to-GenAI workshops, Lakehouse Days, regional meetups). Maintain the AWS Field Engineering Playbook. * Joint product contribution & reference architectures — own the assets that lower time-to-first-DBU and unblock deployments: AWS Marketplace QuickLaunch ("Moonwalk+"), Agent Bricks ↔ Amazon Bedrock automation, the CloudFormation networking package, the AWS data-exfiltration-protection (DEP) architecture, the remote-S3 strict-residency pattern, and the EMEA cloud-consumption dashboard. * Strategic-account unblock & multicloud arbitration — lead technical arbitration in EMEA's dense multicloud accounts (BP, EasyJet, Klarna, ABSA, ADIA, Mercedes-Benz, BNP Paribas and others), where a single architectural decision can swing $1M+ ARR. * Executive alignment & external brand — run QBRs with named AWS regional leaders at BU+1, and be the EMEA technical voice at AWS Summits, DAIS, and Re:Invent EMEA. THE IMPACT YOU WILL HAVE: * Accelerate AWS-sourced pipeline and its conversion to consumption by aligning AWS and Databricks resources and providing the technical expertise to win and expand multicloud accounts. * Shift cloud balance toward AWS across EMEA Diamond and Pearl accounts, protecting and growing Databricks' hyperscaler revenue mix. * Grow field-wide AWS capability — through the SME community, certification programmes, and reusable architectures — so AWS depth is distributed across the EMEA field rather than concentrated in one person. * Develop and sustain senior AWS executive relationships that surface new opportunities, sharpen competitive positioning, and anchor joint go-to-market. WHAT WE LOOK FOR: * Extensive hands-on experience as a data professional in a modern, cloud-based data stack. * Hyperscaler-alliance experience (AWS strongly preferred) with credibility to be the EMEA SPOC for the AWS field and to convene a cross-region SME community. * AWS-specific technical depth — PrivateLink, VPC Lattice, IAM, networking/CloudFormation, AWS Marketplace, Amazon Bedrock, and Glue ↔ Unity Catalog federation. * At least 3 years of technical pre-sales / sales-methodology experience within a consumption business model. * Ability to collaborate with partner and customer organisations at senior-executive level, aligning their objectives to Databricks products and services. * Proven ability to run training sessions, workshops, and webinars, and to author technical content (whitepapers, reference architectures, solution guides, playbooks). * Coding in a core programming language (Python, Java, or Scala); comfort generating infrastructure-as-code (e.g. CloudFormation). * Designing, implementing, and maintaining end-to-end data architectures for Big Data, Data Warehousing, and AI on MPP-based platforms. * Managing multiple, frequently changing priorities across multiple teams. The role requires up to 40% travel across EMEA — to customer and AWS partner sites, AWS EMEA offices, and the key partnership moments of the year (AWS Summits across EMEA, DAIS, Re:Invent). About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.