Role overview:

At SIE we want to enable PlayStation to deliver on its promise to be the Best Place to Play by making it the Best Place to Work! One way that we aim to achieve this by providing information and technology platforms that enable seamless working, communication and collaboration with colleagues and partners anywhere in the world.

The SIE IT Foundational Services department implements, enhances and supports products and services that underpin PlayStation’s business operations. SAP is a strategic solution in this space, and the platform currently comprises SAP S/4HANA, BW, and IBP. We are looking for a hands-on Global SAP Sales Ops Functional Analyst to drive, manage and support the delivery of technical solutions to ensure that the platform continues to meet the sales and distribution needs of the business globally.

You will collaborate with business partners from the Sales & Operations business functions to understand business goals and to identify and communicate how technical solutions can achieve them. You will do this by gathering, analysing and prioritising business requirements, and by working with business and technical teams to design, agree and coordinate the delivery of technical solutions that align with business strategies.

What you will be doing:

Helping to design, implement and support SAP S/4 HANA capabilities that underpin sophisticated sales and distribution business processes, including (but not limited to) order management, material master, pricing, ATP, MRP, delivery processing, billing, and customer order related reporting, by:

• Translating business strategy into product strategy
• Identifying business partners and engaging with them to discover, understand and define business problems and opportunities.
• Understanding existing business processes, mapping out process flows and identifying areas for improvement.
• Providing guidance and recommendations to business partners, driving standardisation and adoption of SAP standard processes globally whenever possible.
• Owning the scoping, prioritisation, management and reporting of progress against identified S&O initiatives.
• Working closely with internal and third-party business and technical teams to analyse and assess the impact of change requests on the SAP platform.
• Eliciting and analysing business requirements to document and agree functional design specifications, ensuring that they receive the appropriate level of approval.
• Analysing AS-IS and TO-BE system processes and configuration to assess impact on SD, MM and integration with FI-CO activities.
• Validating the approach for delivery of system changes to ensure proper testing and documentation is completed.
• Interface design, and co-ordinating and assisting with integration testing as required.
• As required, working closely with internal and third-party technical teams to analyse and resolve production issues across the SAP platform.

What we are looking for:

At PlayStation we are driven by the desire to ensure that PlayStation remains the best place to play and the best place to work. This drive is fuelled by our core values: we are looking for people to join us who are passionate, trailblazers and have a one team mindset.

These values and behaviours are evident throughout your previous experience:

• Technical SAP S/4 HANA experience, with hands-on experience of product implementation and production support primarily in Material Management (MM) and/or Sales & Distribution (SD);
• Working across the full lifecycle of technology-enabled change: from requirements definition through solution design, build, testing to transition to live operation.
• Sound understanding of the following areas:
• Supply chain and logistics in a Fast-Moving Consumer Goods (FMCG) environment.
• Product data management including Bill of Materials.
• Data interfaces and system integration, including EDI and other interface solutions which involve IDOC interfaces between SAP MM/SD and non-SAP third-party warehouse, carrier and master data systems.
• Key integration points between SD/MM/Purchasing/FICO.
• Sales and Purchase to Pay scenarios, requisition release strategies and SAP PO and inventory functionality.
• Warehouse environments and processes.
• Working with offshore / near shore service providers
• Comfortable dealing with senior team members and willing to challenge them based on sound reasoning.
• Strong analytical and problem-solving skills.
• Working within controlled/compliance-based environments (particularly Sarbanes Oxley) would be beneficial.

Your technical development and support competencies will include the following:

• SAP S/4 HANA
• FIORI
• Experience of designing, implementing, and supporting sophisticated ABAP and Idoc developments

About Us:

Rent the Runway (RTR)  is transforming the way we get dressed by pioneering the world’s first Closet in the Cloud. Founded in 2009, RTR has disrupted the $2.4 trillion fashion industry by inspiring women with a more joyful, sustainable and financially-savvy way to feel their best every day. As the ultimate destination for circular fashion, the brand now offers infinite points of access to its shared closet via a fully customizable subscription to fashion, one-time rental or ownership. RTR offers designer apparel and accessories from hundreds of brand partners and has built in-house proprietary technology and a one-of-a-kind reverse logistics operation. Under CEO and Co-Founder Jennifer Hyman’s leadership, RTR has been named to CNBC’s “Disruptor 50” five times in ten years, and has been placed on Fast Company’s Most Innovative Companies list multiple times, while Hyman herself has been named to the “TIME 100” most influential people in the world and as one of People magazine’s “Women Changing the World.”

Galway Office 

Rent The Runway established its European Technology Hub in Galway in April 2019.  Based in the historic Claddagh area of the city, the growing team in Galway tackles core technology challenges and influences the next generation of services critical to Rent The Runway’s success and continued growth. 

The Galway office is Rent the Runway's first international office outside the US and enables the company to significantly expand its Software Engineering, Product Development, Machine Learning Engineering and Data Science footprint. Rent The Runway’s Galway-based employees have the opportunity to grow their careers across several roles and career paths in Technology.

Our engineering team is smart, pragmatic, and entrepreneurial. We practice continuous integration & test-driven development, engage in constant peer code reviews & pair programming, and work hard to give back to the software community through open-source contributions.

About the Team

The Data Engineering team plays a pivotal role in RTR’s technology and analytics ecosystem. The team is responsible for the data warehouse, data ingestion and transformation pipelines, and the infrastructure that enables reliable, high-quality data to flow across the company.

The team partners closely with Data Science, Business Intelligence, Machine Learning, Product, Finance, Marketing, Operations, and Engineering teams to ensure RTR’s data platform is trusted, scalable, well-governed, and able to support critical business decisions.

What You’ll Do

As an Engineering Manager for Data Engineering at Rent the Runway, you will lead the team responsible for building, operating, and evolving RTR’s core data platform. You will combine strong engineering leadership with a deep understanding of data systems, data quality, platform reliability, and stakeholder needs.

You will be responsible for leading a team of talented data engineers, setting technical direction, driving delivery of strategic data initiatives, and ensuring our data warehouse, pipelines, models, and data platform infrastructure are reliable, scalable, secure, and well-governed.

This role is ideal for someone who enjoys building strong teams, partnering across technical and non-technical stakeholders, and leading data engineering work that has meaningful business impact. You will help shape how RTR captures, transforms, governs, and uses data across the organisation.

• Lead and develop a team of data engineers.
• Own delivery of key data engineering initiatives, from planning through execution.
• Drive the evolution of RTR’s data platform, including the data warehouse, pipelines, transformations, orchestration, and supporting infrastructure.
• Partner with Data Science, BI, ML, Product, Finance, Operations, and Engineering teams to deliver trusted data solutions.
• Set priorities for the team, balancing strategic work, stakeholder needs, operational support, and technical debt.
• Promote strong data quality, governance, documentation, lineage, and ownership practices.
• Help the team build reliable data pipelines using tools such as dbt, Python, Prefect, Airflow, or similar.
• Ensure data systems are observable, supportable, and operated with strong production practices.
• Communicate clearly with technical teams, non-technical stakeholders, and senior leadership.
• Build a team culture of ownership, quality, collaboration, and continuous improvement.

About You

• You have experience leading engineers in data engineering, data platform, software engineering, or a related technical area.
• You understand modern data engineering practices, including ingestion, transformation, modelling, orchestration, data quality, and governance.
• You have experience with cloud data platforms such as Snowflake, BigQuery, Redshift, Databricks, or similar.
• You are comfortable with SQL and understand how reliable analytical data models are built and maintained.
• You have worked with tools such as dbt, Python, Prefect, Airflow, Looker, Tableau, Fivetran, or similar.
• You can manage technical roadmaps, prioritise effectively, and deliver cross-functional projects.
• You communicate well with both technical and non-technical stakeholders.
• You care deeply about coaching engineers and supporting their career growth.
• You balance strategic delivery with operational excellence and support.
• Experience with CI/CD, cloud infrastructure, Terraform, or data observability is a plus.

Benefits:

At Rent the Runway, we’re committed to the happiness and wellbeing of our employees, and aim to create a workplace that fosters both personal and professional growth. Our inclusive benefits include, but are not limited to:

• Generous Paid Time Off including annual leave, paid bereavement, and family sick leave - every employee needs time to take care of themselves and their family.
• Universal Paid Parental Leave for both parents + flexible return to work program  - because we know your newest family member(s) deserve your undivided attention.
• Paid Sabbatical after 5 years of continuous service - unplug, recharge, and have some fun.
• Competitive Stakeholder Pension - taking care of your future. 
• Comprehensive health, dental care and dependents care from day 1 of employment - Your health comes first and we’ve got you covered. 
• Company wide events and outings - our team spirit is no joke - we know how to have fun!
• Hybrid Work -This hybrid role requires 2-3 days per week in our Galway, Ireland office with the option to work 2 days remotely.

Rent the Runway is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant or employee on any legally-recognised basis, including, but not limited to: gender, marital status, family status, age disability, sexual orientation, race, religion, and membership of the Traveller community.

#LI-EM1

About Tripadvisor  

The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork.

Tripadvisor is looking for an experienced back-end software engineer to join the Hotels Platform team, which maintains the critical infrastructure and data that powers Tripadvisor’s Hotels pages for over 400 million travelers each month. In this role, you will help us build, enhance, and sustain a suite of highly-performant, consumer-scale microservices that help our travelers plan their next great adventure.
The ideal candidate for this role will have a broad set of battle-tested engineering skills, a strong sense of ownership, a passion for solving complex problems collaboratively, and an unwavering commitment to learning and advancing their craft.

Job Location: Remote/Hybrid

This role is a flexible hybrid or remote position. For hybrid roles please note our office is based in Dublin.

What You’ll Do

• Design, implement, test, and deploy code changes that help the team execute on key strategic and engineering-driven initiatives.
• Work effectively across all layers of the service stack, from designing clean microservice APIs to building efficient database queries and ETLs.
• Own projects end-to-end: from initial design, requirements-vetting, and estimation, to verifying changes in production and proactively addressing any follow-up tasks.
• Provide code-reviews to teammates, ensuring that a proposed change meets the team’s coding standards, best practices, and audit requirements.
• Support the team’s operations through proactive monitoring, data-quality checks, and incident-response protocols.
• Actively seek feedback from peers, and help promote a collaborative, fast-paced engineering culture.

Skills & Experience

• Demonstrated ability to use AI tools to improve efficiency, quality, and decision-making in day-to-day work.
• Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or related discipline.
• 3+ years of professional, full-lifecycle software development experience working with large-scale web applications or services, written in Java (preferred) or Kotlin.
• Experience working with relational databases or data-warehouse technologies like Snowflake, BigQuery, or Hadoop
• Solid foundation in data structures, algorithms, object-oriented design, and web-service architectures.
• Excellent written and oral communication skills with the ability to communicate complex concepts clearly.
• Demonstrated ability to take end-to-end ownership of projects, working independently and collaboratively to clarify requirements, choose an appropriate implementation approach, and deliver high-quality code.

Nice-to-have:

• Experience with front-end web technologies like React, JavaScript, HTML, CSS, etc.
• Experience working with foundational AWS services and infrastructure-as-code.
• Experience utilizing AI tools like Claude or Cursor effectively to streamline development workflows and reduce cognitive load.
• Experience participating in an operational support rotation.

What We Offer:

• Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses
• “Work your way” with flexibility to suit your lifestyle. Tripadvisor Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like or as required by your team.
• Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work.
• Donation matching. Give back? Give more! We match qualifying charitable donations annually.
• Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you.
• Generous referral scheme. Help us grow and be rewarded with generous bonuses for referring successful candidates. Travel perks. We believe that travel is employee development, so we provide discounts and more.
• Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges. Health benefits. We offer great coverage and competitive premiums.

Our Cultural Pillars:

• Traveler first: We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. 
• Execution is our edge: We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges. 
• We succeed together: The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements.

We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com.

If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com. We have all the answers!

#LI-SM1

#LI-Remote

Senior Fulfilment Manager
Full Time
St. Margaret’s, Co.Dublin, K67 P7E5

As Head of Production, you will report into the Director of Operations and take full operational ownership of our site, leading the warehouse and planning teams as well as managing our 3PL partner. Your primary focus is to ensure the site runs efficiently, safely, and within budget while handling the complexities of a fast paced environment. You will be responsible for both daily performance (KPIs) and the long-term strategic development of the facility, including potential future expansions.

What you’ll do:

• Leading our Production site, including the warehouse and planning teams, as well as oversight of the 3PL managing our agencies and hourly workforce.
• Drive continuous improvement across cost, quality and safety, while working in an ever changing and growing environment.
• Lead and influence external stakeholders, balancing competing priorities and managing conflicting interests to achieve operational and business objectives.
• Develop and execute multi-year strategic plans, including potential launch or expansion of our production site.
• Drive operational performance by achieving key KPIs such as efficiency and error rates, with full accountability for labor, equipment, and continuous improvement budgets.
• Collaborate closely with international sites to drive standardisation, best-practice sharing, and operational consistency.
• Mentor, train and develop the team for career progression.

What you’ll bring

• 8+ years of experience managing operations or production, ideally in FMCG
• Consistently tracking KPI’s and cost metrics in a high-pressure, fast-paced, fast paced and constantly changing environment.
• Experience in labour-heavy and agency worker environments.
• Strong understanding of health and safety and its application in a warehouse/production environment.
• Deep knowledge of Lean manufacturing (black belt certification is preferred)
• An egoless, collaborative approach: You are comfortable working across all levels of the organisation, welcome constructive challenge, and prioritise team success above all else.
• Adaptability & Agility: You thrive in fast-paced, evolving environments, navigating change with ease and making smart decisions under pressure.
• Creative Problem-Solving: You bring an "outside-the-box" mindset, constantly identifying fresh ways to optimise our processes and improve how we work

We’re looking for people who are passionate about making HelloFresh Ireland a great place to work. Whether you bring new energy, creative ideas, or a sharp eye for improvement, we value what makes you unique. We know that skills come from many places - so even if you don’t "tick all the boxes", if you’re excited about this role, we would really like to learn more about you.

What we offer

• The chance to have a serious impact on one of the fastest-growing technology companies in Europe in an exciting growth phase
• Direct, high impact on our Operations setup from day one
• A vibrant, international environment with mission-driven colleagues
• A guaranteed steep learning curve & boost for your career
• Benefit from our selection of employee perks (70% off your HelloFresh boxes, private health insurance, employer matching pension program, cycle to work scheme, Mental health first aiders and an employee assistance programme, gym membership etc.)

If this sounds like a tasty opportunity, we’d be excited to hear from you.

Senior Warehouse and Distribution Manager
Full Time
St. Margaret’s, Co.Dublin, K67 P7E5

As Head of Production, you will report into the Director of Operations and take full operational ownership of our site, leading the warehouse and planning teams as well as managing our 3PL partner. Your primary focus is to ensure the site runs efficiently, safely, and within budget while handling the complexities of a fast paced environment. You will be responsible for both daily performance (KPIs) and the long-term strategic development of the facility, including potential future expansions.

What you’ll do:

• Leading our Production site, including the warehouse and planning teams, as well as oversight of the 3PL managing our agencies and hourly workforce.
• Drive continuous improvement across cost, quality and safety, while working in an ever changing and growing environment.
• Lead and influence external stakeholders, balancing competing priorities and managing conflicting interests to achieve operational and business objectives.
• Develop and execute multi-year strategic plans, including potential launch or expansion of our production site.
• Drive operational performance by achieving key KPIs such as efficiency and error rates, with full accountability for labor, equipment, and continuous improvement budgets.
• Collaborate closely with international sites to drive standardisation, best-practice sharing, and operational consistency.
• Mentor, train and develop the team for career progression.

What you’ll bring

• 8+ years of experience managing operations or production, ideally in FMCG
• Consistently tracking KPI’s and cost metrics in a high-pressure, fast-paced, fast paced and constantly changing environment.
• Experience in labour-heavy and agency worker environments.
• Strong understanding of health and safety and its application in a warehouse/production environment.
• Deep knowledge of Lean manufacturing (black belt certification is preferred)
• An egoless, collaborative approach: You are comfortable working across all levels of the organisation, welcome constructive challenge, and prioritise team success above all else.
• Adaptability & Agility: You thrive in fast-paced, evolving environments, navigating change with ease and making smart decisions under pressure.
• Creative Problem-Solving: You bring an "outside-the-box" mindset, constantly identifying fresh ways to optimise our processes and improve how we work

We’re looking for people who are passionate about making HelloFresh Ireland a great place to work. Whether you bring new energy, creative ideas, or a sharp eye for improvement, we value what makes you unique. We know that skills come from many places - so even if you don’t "tick all the boxes", if you’re excited about this role, we would really like to learn more about you.

What we offer

• The chance to have a serious impact on one of the fastest-growing technology companies in Europe in an exciting growth phase
• Direct, high impact on our Operations setup from day one
• A vibrant, international environment with mission-driven colleagues
• A guaranteed steep learning curve & boost for your career
• Benefit from our selection of employee perks (70% off your HelloFresh boxes, private health insurance, employer matching pension program, cycle to work scheme, Mental health first aiders and an employee assistance programme, gym membership etc.)

If this sounds like a tasty opportunity, we’d be excited to hear from you.

Senior Production Manager
Full Time
St. Margaret’s, Co.Dublin, K67 P7E5

As Head of Production, you will report into the Director of Operations and take full operational ownership of our site, leading the warehouse and planning teams as well as managing our 3PL partner. Your primary focus is to ensure the site runs efficiently, safely, and within budget while handling the complexities of a fast paced environment. You will be responsible for both daily performance (KPIs) and the long-term strategic development of the facility, including potential future expansions.

What you’ll do:

• Leading our Production site, including the warehouse and planning teams, as well as oversight of the 3PL managing our agencies and hourly workforce.
• Drive continuous improvement across cost, quality and safety, while working in an ever changing and growing environment.
• Lead and influence external stakeholders, balancing competing priorities and managing conflicting interests to achieve operational and business objectives.
• Develop and execute multi-year strategic plans, including potential launch or expansion of our production site.
• Drive operational performance by achieving key KPIs such as efficiency and error rates, with full accountability for labor, equipment, and continuous improvement budgets.
• Collaborate closely with international sites to drive standardisation, best-practice sharing, and operational consistency.
• Mentor, train and develop the team for career progression.

What you’ll bring

• 8+ years of experience managing operations or production, ideally in FMCG
• Consistently tracking KPI’s and cost metrics in a high-pressure, fast-paced, fast paced and constantly changing environment.
• Experience in labour-heavy and agency worker environments.
• Strong understanding of health and safety and its application in a warehouse/production environment.
• Deep knowledge of Lean manufacturing (black belt certification is preferred)
• An egoless, collaborative approach: You are comfortable working across all levels of the organisation, welcome constructive challenge, and prioritise team success above all else.
• Adaptability & Agility: You thrive in fast-paced, evolving environments, navigating change with ease and making smart decisions under pressure.
• Creative Problem-Solving: You bring an "outside-the-box" mindset, constantly identifying fresh ways to optimise our processes and improve how we work

We’re looking for people who are passionate about making HelloFresh Ireland a great place to work. Whether you bring new energy, creative ideas, or a sharp eye for improvement, we value what makes you unique. We know that skills come from many places - so even if you don’t "tick all the boxes", if you’re excited about this role, we would really like to learn more about you.

What we offer

• The chance to have a serious impact on one of the fastest-growing technology companies in Europe in an exciting growth phase
• Direct, high impact on our Operations setup from day one
• A vibrant, international environment with mission-driven colleagues
• A guaranteed steep learning curve & boost for your career
• Benefit from our selection of employee perks (70% off your HelloFresh boxes, private health insurance, employer matching pension program, cycle to work scheme, Mental health first aiders and an employee assistance programme, gym membership etc.)

If this sounds like a tasty opportunity, we’d be excited to hear from you.

About the Job:

LaunchDarkly is looking for a Senior Data Analyst to join our Data & Analytics team, focused on revenue analytics, metrics definition, and governance.

In this role, you will own the definition, calculation, and governance of key revenue metrics such as ARR, NRR, and customer metrics. You will partner closely with Finance, RevOps, and Data Engineering teams to ensure consistent definitions, accurate calculations, and scalable data models that support company-wide reporting.

This role is critical to establishing a single source of truth for revenue metrics and enabling consistent decision-making across the organization. You will be responsible for how revenue metrics are defined, calculated, and trusted across the company — not just reported.

Responsibilities:

Metrics Definition & Ownership
Define, document, and maintain key revenue metrics (e.g., ARR, NRR, churn, bookings). Drive alignment across Finance, RevOps, and Data teams on metric definitions and usage.

ARR Calculation & Logic Development
Design and maintain ARR calculation logic, including handling edge cases (e.g., expansions, contractions, multi-year deals, renewals, credits). Ensure logic is transparent, scalable, and well-documented.

Data Modeling & Automation
Translate business logic into scalable data models and transformations using modern data tools (e.g., Snowflake, dbt). Partner with Data Engineering to productionize and automate reporting workflows.

Cross-functional Alignment
Work closely with Finance, RevOps, and GTM stakeholders to resolve discrepancies, align on definitions, and support reporting needs.

Data Quality & Reconciliation
Identify and resolve data inconsistencies across systems (e.g., Salesforce, billing systems, data warehouse). Support reconciliation processes and improve data reliability.

Reporting & Insights
Develop dashboards and analyses that provide visibility into revenue performance and key business drivers.

Qualifications:

• Typically requires a minimum of 8 years of related experience in data analytics, business intelligence, or analytics engineering

• Strong experience working with revenue metrics (e.g., ARR, NRR, churn, bookings)

• Strong SQL skills and experience working with complex datasets

• Experience building data models and transforming business logic into scalable data pipelines (e.g., dbt, Snowflake)

• Experience working with Finance and/or RevOps teams

• Experience reconciling data across multiple systems (e.g., Salesforce, billing systems, data warehouse)

• Ability to work independently and structure ambiguous problems

• Strong communication skills and ability to align stakeholders across functions

• Experience defining or owning business-critical metrics in a B2B SaaS environment

About LaunchDarkly:

Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. 

The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:

• Improving the velocity and stability of software releases, without the fear of end customer outages
• Delivering targeted experiences by easily personalizing features to customer cohorts
• Maximizing the business impact of every feature through the ability to experiment and optimize
• Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
• Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability

At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com. 

Do you need a disability accommodation?

Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. 

Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly  directly for confirmed job openings and links to apply.

Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com.

What's the opportunity? 

As a Senior Finance Data Scientist, Existing Business, you will be the architect of the systems that predict Intercom’s revenue future. You will move beyond static reporting to build production-grade forecasting models that translate complex customer behaviors into financial signals.

You will work on high-impact, open-ended problems, such as predicting expansion propensity and modeling long-term customer LTV. This role requires a hybrid of financial intuition and technical rigor: the ability to navigate raw data warehouses and the strategic mindset to explain the "why" behind the numbers to our leadership team.

The Impact You Will Have

• Own and Evolve the Revenue Engine: Build and maintain predictive models for usage-based revenue, renewals, and expansion that outperform traditional linear forecasts.
• Unlock Predictive Insights: Develop propensity models to identify expansion opportunities and churn risks before they materialize in the ledger.
• Architect Finance Data: Design and maintain curated datasets that serve as the single source of truth.
• Model Customer Value: Define and iterate on our LTV frameworks, providing a clear linkage between product engagement and long-term financial outcomes.

Drive Scalability: Build automated, code-based forecasting workflows that increase the speed, reliability, and granularity of our financial planning.

What will I be doing? 

Predictive Modeling and Forecasting Systems

• Build and own probabilistic and time-series models that project ARR performance across renewals and usage-based motions.
• Incorporate behavioral signals, such as product adoption, seat utilization, and feature engagement, into expansion propensity and LTV frameworks.
• Design models that account for cohort dynamics, seasonality, and product-led growth (PLG) signals.
• Evaluate model performance through backtesting and iteration, ensuring our "financial weather forecast" is constantly improving.

Data and Analytical Infrastructure

• Own the end-to-end data pipeline for finance, transforming raw product usage and billing data into curated, model-ready datasets in our data warehouse.
• Write and optimize production-quality SQL and Python to work with large-scale datasets and automate complex FP&A workflows.
• Ensure data integrity and consistency across all predictive systems and executive dashboards.
• Contribute to the long-term data strategy for how Intercom tracks and predicts Existing Business health.

Analytical Problem Solving

• Translate ambiguous business questions (e.g., "Which usage signals best predict a 2x expansion?") into structured data science projects.
• Connect ARR outcomes to underlying drivers like product adoption, customer health scores, and GTM activity.
• Perform scenario modeling and sensitivity analysis to help the business understand the range of possible outcomes for NRR.

Business Partnership & Communication

• Partner with Sales, Product, and Data Engineering to align our financial models with actual customer behavior and product roadmaps.
• Translate complex statistical outputs into clear, decision-oriented narratives for the CFO and executive leadership.
• Build executive-ready materials, including predictive dashboards and strategic presentations.

What skills do I need? 

• • 3+ years in Data Science, Strategic Finance, or Revenue Analytics, with a deep focus on SaaS or usage-based business models.
  • Advanced Technical Skills: High proficiency in Python (pandas, scikit-learn) and Expert-level SQL. Experience with forecasting libraries (e.g., Prophet, Nixtla) is a major plus.
  • System Design Mindset: Experience building scalable data pipelines and production-grade analytical tools, not just one-off spreadsheets.
  • SaaS Mastery: Strong understanding of NRR, LTV, Churn, and the relationship between product usage and revenue.
  • Communication: Ability to translate technical work into business insight and influence stakeholders through data-driven storytelling.
  • Business Judgment: A focus on accuracy and a "Product Sense" that allows you to see the human behavior behind the data points.
  • AI-Augmented Productivity: Proficiency in leveraging AI-native development tools (e.g. Cursor, Claude Code) to accelerate the development of data pipelines, model prototyping, and code documentation.

What Success Looks Like

• Automated forecasting models that are more accurate, granular, and less manual than previous iterations.
• A clear Propensity Score integrated into our planning that successfully predicts customer expansion and contraction.
• Scalable, code-based workflows that reduce the time-to-insight for the Existing Business team.

High confidence from leadership in our ability to predict the financial impact of changing customer usage patterns.

Benefits 

We are a well-treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work!
• Pension scheme & match up to 4%
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Flexible paid time off policy
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too 
• MacBooks are our standard, but we also offer Windows for certain roles when needed.

#LI-Hybrid

Scopely is looking for a Senior Director, Data & Insights  to help power the continued success of Monopoly GO! This opportunity is open to candidates working remotely across the UK, Ireland, or Portugal, or in a hybrid setup from our Barcelona or Seville hubs.

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

Monopoly GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. The team is based in Europe and the US, and works every day to create captivating new experiences for our players.     

As Sr. Director of Data & Insights, you'll lead three teams — Analytics Engineering, Data Science, and Product Analytics — each owned by a Director or Lead reporting to you. Your job is to operate above the day-to-day: set strategy, drive cross-functional alignment, and deliver a step-change in how the studio uses data.

Your north stars: speed (time-to-insight in minutes and hours, not days), access (every PM, designer, and marketer answers their own data questions without a ticket queue), and impact (translating data insight into actionable software improvements) 

AI-Forward Mandate

You'll set the AI vision and hold your organization accountable for embedding it across the org. We expect this leader to build the future of insight delivery, not just manage the present.

What You'll Own

You are the ultimate craft leader for Data & Insight and drive impact through the following areas: 

Analytics Engineering — via Director/Lead

• Define the vision and operating model for Analytics Engineering as the company scales
• Set the direction for the data platform (pipelines, warehouse, semantic layer), focusing on speed, reliability, and ease of use
• Drive the adoption of a data product mindset across all areas
• Push the shift toward AI-enabled workflows in analytics, both for how data is built and how it’s used
• Define how AI systems interact with our data, enabling simple, self-serve access for both technical and non-technical users
• Own the principles behind the metrics layer as a single source of truth across the company
• Maintain a strategic relationship with the central Scopely data function 

Data Science — via Director/Lead

• Set direction and provide feedback for the Data Science roadmap 
• Identify and bridge the gap in missing Data Science models and frameworks 
• Set expectations for how AI should enhance decision-making and operational workflows, and increase the ceiling is what’s possible with Data Science 

Product Analytics — via Director/Lead

• Align Product Analytics direction and roadmap with product strategy, ensuring insights directly inform roadmap decisions and prioritization
• Define the Product Analytics operating model (team structure, embedding, ways of working) to maximize impact and enable proactive, high-quality decision-making
• Set expectations for AI-enabled analytics, improving insight generation, scalability, and team productivity while maintaining rigor

Leadership Scope

• Directly manage 3 Director/Lead-level reports; indirectly lead 40+ analysts, engineers, and data scientists
• Coach and develop your direct reports
• Own the data roadmap and OKRs; serve as the data voice at the product executive level
• Build data literacy programs so non-technical partners can self-serve confidently

What We're Looking For

• 10+ years in data, analytics, or data science; 5+ years managing director-level leaders
• Proven track record in live-service mobile games or high-scale consumer apps
• Deep expertise in the modern data stack: dbt, Snowflake/BigQuery, Looker/Tableau/Hex
• Hands-on fluency with LLM patterns (RAG, agents, prompt engineering) and AI tooling deployment
• Strong command of experimentation design, causal inference, and ML systems in production
• Leads through delegation — comfortable owning strategy and outcomes without owning execution
• Exceptional communicator from SQL to C-suite; player-first and outcome-first mindset

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

Scopely is looking for a Director of Data to lead Analytics Engineering for Monopoly GO!, one of Scopely’s largest and most successful titles. This opportunity is open to candidates working remotely across the UK, Ireland, or Portugal, or in a hybrid setup from our Barcelona or Seville hubs.

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

Monopoly GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. The team is based in Europe and the US, and works every day to create captivating new experiences for our players.     

In this role, you will define how data is built, scaled, and used across the game—owning the platform, standards, and team that power insight, experimentation, and decision-making at scale.

You will operate as both an organizational leader and technical authority: shaping the vision for Analytics Engineering, evolving the data platform, and ensuring data is a core competitive advantage for the business.

What You Will Do

Define Strategy, Vision & Operating Model

• Define the vision and operating model for Analytics Engineering as the organization scales
• Own the roadmap for Analytics Engineering and AI initiatives, driving insight at scale
• Promote a data product mindset, ensuring data assets are reliable, reusable, and easy to access
• Drive adoption of AI-enabled workflows in analytics, and define how AI systems interact with the data platform

Own Data Platform & Architecture

• Set direction for the data platform (pipelines, warehouse, semantic/metrics layer), optimizing for speed, reliability, and usability
• Own the metrics layer as a single source of truth across the organization
• Ensure scalable data pipelines and strong experimentation, reporting, and analytics capabilities
• Influence broader data architecture, including shared platforms like Playgami, and partner with central data teams

Own Investment & Resource Strategy

• Own budget and investment decisions for data infrastructure and tooling
• Continuously improve organizational structure, processes, and execution velocity

Lead & Scale the impact of Analytics Engineering as a Craft 

• Maintain a high-performing Analytics Engineering team, including hiring, performance management, and career development
• Define role architecture, promotion criteria, and calibration standards 
• Establish Analytics Engineering as a Centre of Excellence, fostering community, learning, and innovation
• Monitor and improve team health, capability, and performance

What We're Looking For

• Proven experience leading and scaling high-performing data or engineering organizations
• Deep understanding of modern data platforms (pipelines, warehouses, semantic layers)
• Strong technical judgment with the ability to influence architecture and standards at scale
• Track record of building or evolving data platforms for large-scale products
• Experience improving organizational effectiveness, processes, and team performance
• Ability to operate strategically and hands-on, connecting technical decisions to business impact
• Experience driving adoption of new paradigms (e.g., AI/ML, data products, modern data stack)
• Strong cross-functional leadership and stakeholder management skills

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

Typeform is fully remote by design. For this role, we can hire candidates based in the UK, Ireland, Germany, Spain or the Netherlands.

About the Team

About the Role

This is a 12-month fixed term contract. We're at an exciting but demanding point in our data platform journey, and we need extra capacity to help us move faster. There's real, meaningful work to do here — and plenty of scope to make your mark.

We're looking for a Data Platform Engineer to contribute to the design, development, and maintenance of our core data infrastructure. You'll work on pipelines, platform tooling, and data quality, helping us scale reliably and build good engineering habits along the way.

You'll report to the Senior Data Platform Manager and collaborate closely with Analytics, Data Science, and Platform Engineering. This is a hands-on role — you'll spend most of your time building, fixing, and improving, with growing opportunities to shape technical decisions as you settle in.

What you’ll do

Platform development & maintenance

• Build and maintain scalable data pipelines for ingestion, transformation, and delivery across the organization
• Contribute to the design and improvement of our data warehouse and lakehouse architecture
• Help consolidate and improve fragmented tooling, replacing manual processes with automated, repeatable solutions
• Support data quality, lineage tracking, and observability across our pipelines
• Work within our CI/CD workflows and contribute to infrastructure-as-code using tools like Terraform

Collaboration & documentation

• Partner with Analytics Engineering, Data Science, and Platform Engineering to understand data needs and deliver reliable platform capabilities
• Document data workflows, ownership guidelines, and engineering decisions to improve team clarity
• Contribute to the development of shared templates, standards, and best practices for pipeline development

Growth & learning

• Deepen your understanding of streaming architectures, data governance, and modern platform patterns
• Work alongside experienced engineers and take on increasing ownership of platform components over time

What you bring

• Solid experience as a data or software engineer working with data pipelines, warehousing, or platform infrastructure
• Hands-on experience with tools like Python, SQL, Terraform, and CI/CD pipelines
• Familiarity with cloud-native data infrastructure and batch or streaming data processing
• A collaborative mindset and the ability to communicate clearly across technical teams
• Comfort working in ambiguous environments where not everything is defined yet

Extra awesome

• Experience with Kafka or similar streaming technologies
• Exposure to data governance frameworks or data quality tooling
• Background in a B2B SaaS or product-led company
• Familiarity with reverse-ETL, data contracts, or event-driven architectures

Senior Analytics Engineer 

Communication has changed for people. It’s changed for businesses, too.

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.

Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.

Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.

What is the opportunity?

Intercom’s AI Group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are extremely product-focussed. Our team of 50+ ML scientists, ML engineers, designers and researchers works in partnership with other teams across the whole company. We move to production fast, often shipping to beta within weeks of a successful offline test. 

We constantly run experiments and measure the success of our AI features. We use frequentist and Bayesian approaches. We create dashboards to track results. We dive deep into exactly how users are being successful, and have to tease out all sorts of complex user interactions. We have to deal with inherently stochastic AI products, and complex effects.

We are looking for a dedicated Analytics Engineer to join the AI Group to help us with that.

What will I be doing?

• Data Platform Development: Design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics-ready data platform.
• Cross-functional Collaboration: Partner with ai analysts, ml scientists, engineers and business teams to understand data needs and ensure accurate, reliable & ergonomic data solutions.
• Data Strategy & Governance: Lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows.
• Advanced Analytics & Insights: Conducted data analysis and built custom models to support strategic business decisions and performance measurement.
• Automation & Optimization: Streamline data collection and reporting processes to reduce manual effort and improve efficiency.
• Innovation in Data Infrastructure: Created scalable solutions like unified data pipelines and access control systems to meet evolving organizational needs.
• Strategic Influence: Worked with partner teams to align data collection with long-term analytics and feature development goals.

About You

• You write advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code
• You’re familiar with the modern data stack. dbt and Snowflake experience are a big plus.
• A growth mindset and eagerness to learn.
• You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs
• You practice excellent communication skills, and you tailor explanations of technical concepts to a variety of audiences

Nice to haves

• Exposure to Apache Airflow or other DAG frameworks — we use Airflow to orchestrate and schedule all of our data workflows and transformations
• Worked in Tableau, Looker, or similar visualization/business intelligence platform
• Experience with operational tools and business systems such Google Analytics, Marketo, Salesforce, Segment, or Stripe
• Familiarity with Python

#LI-Hybrid

What is the opportunity?

Intercom’s AI Group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are extremely product-focussed. Our team of 50+ ML scientists, ML engineers, designers and researchers works in partnership with other teams across the whole company. We move to production fast, often shipping to beta within weeks of a successful offline test. 

We constantly run experiments and measure the success of our AI features. We use frequentist and Bayesian approaches. We create dashboards to track results. We dive deep into exactly how users are being successful, and have to tease out all sorts of complex user interactions. We have to deal with inherently stochastic AI products, and complex effects.

We are looking for a dedicated Analytics Engineer to join the AI Group to help us with that.

What will I be doing?

• Data Platform Development: Design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics-ready data platform.
• Cross-functional Collaboration: Partner with ai analysts, ml scientists, engineers and business teams to understand data needs and ensure accurate, reliable & ergonomic data solutions.
• Data Strategy & Governance: Lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows.
• Advanced Analytics & Insights: Conducted data analysis and built custom models to support strategic business decisions and performance measurement.
• Automation & Optimization: Streamline data collection and reporting processes to reduce manual effort and improve efficiency.
• Innovation in Data Infrastructure: Created scalable solutions like unified data pipelines and access control systems to meet evolving organizational needs.
• Strategic Influence: Worked with partner teams to align data collection with long-term analytics and feature development goals.

About You

• You write advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code
• You’re familiar with the modern data stack. dbt and Snowflake experience are a big plus.
• A growth mindset and eagerness to learn.
• You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs
• You practice excellent communication skills, and you tailor explanations of technical concepts to a variety of audiences

Nice to haves

• Exposure to Apache Airflow or other DAG frameworks — we use Airflow to orchestrate and schedule all of our data workflows and transformations
• Worked in Tableau, Looker, or similar visualization/business intelligence platform
• Experience with operational tools and business systems such Google Analytics, Marketo, Salesforce, Segment, or Stripe
• Familiarity with Python

Benefits 

#LI-Hybrid

What is the opportunity?

Intercom’s AI Group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are extremely product-focussed. Our team of 50+ ML scientists, ML engineers, designers and researchers works in partnership with other teams across the whole company. We move to production fast, often shipping to beta within weeks of a successful offline test. 

We constantly run experiments and measure the success of our AI features. We use frequentist and Bayesian approaches. We create dashboards to track results. We dive deep into exactly how users are being successful, and have to tease out all sorts of complex user interactions. We have to deal with inherently stochastic AI products, and complex effects.

We are looking for a dedicated Analytics Engineer to join the AI Group to help us with that.

What will I be doing?

• Data Platform Development: Design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics-ready data platform.
• Cross-functional Collaboration: Partner with ai analysts, ml scientists, engineers and business teams to understand data needs and ensure accurate, reliable & ergonomic data solutions.
• Data Strategy & Governance: Lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows.
• Advanced Analytics & Insights: Conducted data analysis and built custom models to support strategic business decisions and performance measurement.
• Automation & Optimization: Streamline data collection and reporting processes to reduce manual effort and improve efficiency.
• Innovation in Data Infrastructure: Created scalable solutions like unified data pipelines and access control systems to meet evolving organizational needs.
• Strategic Influence: Worked with partner teams to align data collection with long-term analytics and feature development goals.

About You

• You write advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code
• You’re familiar with the modern data stack. dbt and Snowflake experience are a big plus.
• A growth mindset and eagerness to learn.
• You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs
• You practice excellent communication skills, and you tailor explanations of technical concepts to a variety of audiences

Nice to haves

• Exposure to Apache Airflow or other DAG frameworks — we use Airflow to orchestrate and schedule all of our data workflows and transformations
• Worked in Tableau, Looker, or similar visualization/business intelligence platform
• Experience with operational tools and business systems such Google Analytics, Marketo, Salesforce, Segment, or Stripe
• Familiarity with Python

Benefits 

#LI-Hybrid

As a Calibration Planner you will be working with the LotusWorks team and will join our client site in the Biopharmaceutical sector.. This job is based in a cutting-edge facility in Dunboyne.

This person will execute plan and schedule all calibrations tasks on behalf of the team.

Responsibilities:

• Execute planning & scheduling of calibrations tasks on behalf of the team (PMs/CMs and CALs) with a Right First Time (RFT) mindset.
• Working closely with Client Engineers and Technicians to ensure all required tooling, spares and resources (including vendor availability) are in place to execute calibration activities.
• Working closely with Manufacturing planners & schedulers and other key functions such as Supply Chain, Quality, Projects and Validation to develop work schedules.
• Must be agile and manage schedule changes accordingly (including Service Request follow up and backlog management).
• Work with Production, Utilities, Labs and Warehouse teams to plan calibration activities in these areas.
• Data Analysis - monitoring and analysis of WO data and trends relating to planning, scheduling, and work order execution.
• Assist with vendor management calibration planning activities.
• Execute improvement projects including Safety, Quality, Reliability, Delivery and Cost.
• Working with Senior Leaders on evaluating High Level Schedule (HLS) changes and forecasting impact of major calibration works.
• Manage Contingent Worker resources executing planning and scheduling of calibration activities in Clean Utilities and detailed day to day task in Upstream/Downstream suites

Skills Required:

• The successful candidate must possess at minimum a Level 7 or Level 8 Engineering qualification or equivalent coupled with at least 2/3 years’ experience in a relevant role in a regulated manufacturing environment
• Experience of working with process equipment in a biologics, pharma, chemical or food manufacturing facility is desirable.
• Experience of maintenance optimisation techniques.
• Working knowledge of SAP or equivalent CMMS system.
• High level of attention to detail and strong problem-solving abilities.
• Excellent communication skills and the ability to work in a team, in a cross functional collaborative environment with all levels of the organisation. 

Education / Licenses / Certifications:

• Diploma or Degree Level 7 in a relevant discipline.
• Proof of education, licenses, and certifications will be required where applicable.

Benefits:

• VHI Healthcare Cover
• Life Assurance
• Pension Contribution
• Training And Educational Assistance
• Annual GP Check-Up
• Extra Annual Leave
• Healthcare Screening
• Recognition Rewards

Warehouse Operative / Driver – Parts Centre

Charles Hurst – Bucher Road Parts Centre

We’re looking for a reliable Warehouse Coordinator to manage our busy parts centre team.

Hours: Mon–Thu 8:00am–5:30pm | Fri 8:00am–5:00pm | Sat 7:00am–11:00am (1 in 4 rota)

Salary: Up to £35,000 per annum

The Role

• Coordinate daily warehouse operations, including goods in/out, shipment scheduling and documentation.

• Maintain accurate stock control through regular inventory checks, correct storage, and investigation of discrepancies.

• Liaise with suppliers, couriers and internal teams to resolve delivery issues and ensure smooth logistics.

You’ll Need

• Full UK driving licence

• Good timekeeping and a strong work ethic

• Team player with a positive attitude