Director of Product - Data Platform and Decision Tooling

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.

MongoDB’s Developer Productivity organization exists to help engineers build and deliver high-quality software through a highly effective software development process and a strong foundation of shared tools and services. We are looking for a Senior Director to lead our Pipeline team. This role is tasked with bringing together the major systems and experiences that power software delivery at MongoDB. The team’s mission is to provide a reliable, scalable, secure, and effective platform for ensuring fast software deployability, leveraging AI native approaches. We are open to in-office, flexible or remote hiring across Canada. THE TEAM The Pipeline organization sits within Developer Productivity and is responsible for the systems, services, and user experiences that define MongoDB’s software delivery ecosystem.   This is mission-critical infrastructure operating at substantial scale and supports a variety of software product delivery needs. Success in this role requires excellent product judgment for developer-facing experiences, strong systems and platform leadership, and the ability to align multiple teams around a cohesive strategy. CANDIDATE PROFILE We’re looking for a senior engineering leader who can unify product-minded developer tooling with deep platform and operational excellence. The right candidate is passionate about developer productivity and has a track record of leading managers and teams through organizational growth, technical complexity, and cross-functional change. They should be comfortable owning a broad portfolio that spans developer experience, reliability and scale, release systems, telemetry, and operational health. They should also be able to work effectively with senior leaders and partners across engineering and product to set direction, allocate resources, and make trade-offs that balance near-term delivery with long-term platform function. THE RIGHT CANDIDATE FOR THIS ROLE WILL * 12+ years of hands-on software engineering experience building and operating production systems; experience in developer tooling, platform engineering, observability, or data engineering is a strong plus. * 6+ years of experience managing multiple teams and building a strong bench of leaders in a geographically distributed organization with a track-record of success in hiring, performance management, and fostering a team growth mindset. * Have a track record of scaling large software systems used by software engineers, ideally including CI/CD, release, or other developer infrastructure platforms with large scale workloads. * Bring strong judgment across both developer-facing product experience and underlying platform architecture, including user workflows, system reliability, operational insight, and service scalability. * Have experience with cloud infrastructure and infrastructure-as-code principles; experience with Kubernetes and AWS is especially valuable. * Understand how to use telemetry, metrics, and analytics to improve developer productivity and operational health. * Have experience or strong familiarity with software supply chain and release concerns, including reliability, security, and operational rigor. * Be able to define strategy and drive execution in ambiguous environments with broad organizational impact, acting as a trusted escalation point for complex technical and organizational trade-offs. WHAT YOU WILL DO * Own the strategy, execution, and operating model for MongoDB’s end-to-end software delivery pipeline across continuous integration and release enablement functions. * Set portfolio priorities and resource allocation in partnership with leadership and cross-functional stakeholders, balancing urgent delivery needs with long-term platform investments. * Improve the experience of internal engineering users while also raising the bar on reliability, scalability, security, and operational efficiency. * Establish and evolve mechanisms for measuring developer productivity, system health, and business impact across the pipeline portfolio. * Build a healthy, high-performing organization by growing managers, strengthening succession depth, and creating clarity around expectations, accountability, and career development. * Serve as a senior escalation point for critical trade-offs and cross-functional issues, ensuring decisions are aligned to company priorities and understood in terms of their downstream consequences. POSITIVE EXPECTATIONS * Leads a large, strategic organization with a positive and inclusive culture while setting a high bar for accountability and execution. * Demonstrates mastery of both verbal and written communication to navigate a global organizational structure that utilizes a mix of synchronous and asynchronous engagement. * Collaborates effectively with leadership and partner teams to coordinate priorities, improve processes, and strengthen MongoDB’s software development ecosystem. * Makes sound decisions on planning, staffing, and organizational structure, and knows when to optimize locally versus for the broader business. * Acts like an owner for MongoDB’s broader engineering success, not just the direct organization they lead. SUCCESS MEASURES * In three months, you have built strong relationships with your managers and key partners, assessed the current pipeline portfolio, and identified the highest-leverage opportunities across reliability, developer experience. * In six months, you have established a strategic direction and roadmap for the Pipeline organization, advising on structure and long-term investment choices, and operating as a trusted escalation point for major delivery and platform trade-offs. * In twelve months, you have accelerated  ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.  To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer.   REQ ID: 2273490078 AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward. MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada. MongoDB’s base salary range for this role in Canada is: $210,000—$300,000 USD