Engineering Manager, Machine Learning

Do you want to lead a team building advanced decision systems that directly shape monetisation strategies across the PlayStation ecosystem? Are you passionate about combining machine learning and operational research to solve complex, high-impact business problems at scale? We are building systems that power decisions across a global catalogue of games, including base pricing across lifecycle stages of a game, while balancing revenue growth, player experience, and cannibalisation across titles.

We are looking for an experienced Machine Learning Engineering Manager to lead a hybrid team of Machine Learning engineers and Operations Research experts. You will work on high-impact, executive-visible initiatives, partnering closely with Product, Business, and Engineering teams to translate complex, ambiguous problems into scalable, production-ready systems.

What You’ll Do

Lead and grow a team of machine learning engineers and optimisation specialists, fostering collaboration across disciplines and raising the bar for technical excellence.

Build a high-performing, inclusive team by:

• Coaching and developing engineers across ML and OR disciplines
• Providing clear feedback, career growth, and performance management
• Hiring and retaining top talent

Improve large-scale optimisation systems that:

• Incorporate predictive signals from machine learning models (e.g., demand forecasting, item elasticity).
  
  
• Leverage optimisation frameworks using Gurobi to make decision recommendations under known business constraints.

Partner closely with Product, Business, and regional stakeholders to:

• Translate business goals and constraints into optimisation frameworks.
  
  
• Align on tradeoffs between short-term performance and long-term strategy.
  
  
• Resolve conflicting priorities through data-driven decision-making.

Ensure systems are explainable, trustworthy, and actionable by:

• Providing clear reasoning behind model-recommended decisions.
  
  
• Enabling debugging and traceability across ML and optimisation components.
  
  
• Driving adoption with business and product stakeholders.

You Bring:

• Deep understanding of the relevant ML and OR domains and infrastructure with a track record of delivering complex ML and OR systems into production.
• Proven strong experience leading and developing high-performing ML and OR teams, including: Growing engineers across different skill sets (Machine Learning, ML Infra, Operational Research); Driving career growth and performance evaluation; Hiring and retaining high-performing teams.
• Demonstrated ability to create a strong team culture with high accountability, creativity and continuous improvement.
• Ability to provide technical direction at the architecture level while fostering pragmatic, high-quality, high-velocity execution.
• Demonstrated success driving cross-functional initiatives that require influencing without direct authority, in fast-moving environments
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

• MS, or PhD in Computer Science, Machine Learning, Operational Research

Preferred Qualifications:

• Hands-on experience with tools such as Gurobi, Snowflake, Databricks, and PySpark.
• Experience in pricing, promotions or marketplace optimisation.
• Experience in modelling demand elasticity and forecasting.
• Experience in the gaming or digital content industry.
• Experience working with globally distributed functions and teams.

Senior Machine Learning Engineer, Optimisation (Gurobi)

Do you want to join a Machine Learning team committed to enhancing the PlayStation

experience for hundreds of millions of users and also game studios? Are you passionate about solving complex constrained optimisation problems at scale? We are building advanced decision systems that drive pricing, promotion planning, and large-scale commercial strategy across the PlayStation ecosystem. These systems directly deliver highly impactful recommendations to our studios and have strong leadership sponsorship.

We are looking for an experienced engineer with deep expertise in mathematical optimisation and operational research, particularly using tools such as Gurobi or OR-Tools, to design and deploy production-grade optimisation systems. You will work within the ML teams in the DTIS organisation, on high-impact, executive-sponsored projects and collaborate closely with Product, Business, and others in Engineering, to transform complex business constraints into scalable solutions.

What You’ll Do

• Design and implement large-scale optimisation models using industry-standard
• solvers, such as Gurobi.

Build decision systems that:

• Incorporate predictive signals from machine learning models (e.g., forecasts and scoring models).
• Operate under multiple operational and business constraints.
• Automatically balance trade-offs across competing objectives.
• Improve existing workflows to maximise the core usage of the Gurobi solver and reduce
• job runtime
• Partner closely with ML engineers, product teams, and business stakeholders to integrate predictive models into downstream systems.
• Conduct scenario analysis and uplift forecast to support strategic planning.
• Mentor and guide junior machine learning engineers, providing technical leadership and
• raising the bar of technical quality.
• Thought-lead and influence technology strategy and product roadmap through OR/ML lens, contributing to the development and execution of overall OR/ML strategy.

You Bring:

• Advanced degree (Master’s or Ph.D.) in Operations Research/Applied Mathematics/Data Science, specialising in optimisation problems.
• Strong hands-on experience with Gurobi, OR-Tools.
• Industry experience building, deploying, and owning Gurobi or ORTools-driven optimisation systems in production.
• Strong programming skills in Python, Java, with experience integrating optimisation solvers into cloud-based backend systems
• Excellent communication skills and ability to bridge technical solutions with business objectives, to convey complex concepts to stakeholders with little knowledge of OR or ML.
• Experience working with outputs from machine learning models and incorporating them into downstream decision-making pipelines.
• Excellent resilience and problem-solving skills, with the ability to navigate through fast-changing conditions to land results.

Preferred Qualifications:

• Experience in promotion calendar optimisation using Gurobi.
• Experience with large-scale structured data manipulation and processing, using
• Databricks, PySpark, Snowflake.
• Experience in running online A/B testing for predictive models and improving relevant
• Experience working with custom ML platforms for continuous integration, deployment,and monitoring of machine learning models.
• Experience in the gaming industry.
• Experience working with cross-timezone teams.

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

Database Reliability Engineer (DBRE) 

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 Job:

As a Database Administrator/Reliability Engineer, you’ll take ownership of the performance, reliability, and data governance of our cloud-managed database platforms, primarily CloudSQL(MySQL) and MongoDB. A key part of the role is driving data lifecycle management — including pruning, archiving, and retention policies — to ensure our platform remains clean, compliant, and cost-efficient. You'll collaborate with engineering teams to optimize query performance, advance automation efforts, and evolve our database operations toward a modern, cloud-native, infrastructure-as-code model. As part of our broader data platform transformation, you’ll have the opportunity to take on scoped work in support of the Data Engineering team — contributing to the data platform rebuild through your expertise in database performance, structure, and governance. This is a hands-on, cross-functional role that plays a critical part in maintaining a scalable, governed, and low-maintenance data foundation as the business grows.

What You’ll Do:

• Availability & Reliability: Manage and optimise CloudSQL and MongoDB environments for performance, reliability, recovery, and cost.
• Data Administration: Improve platform efficiency through query tuning, schema design, and automation.
• Data Governance: Implement data lifecycle and governance practices (e.g. pruning, retention, access control).
• Change Management: Develop maintenance and operations automation through CI/CD pipelines, ensuring that database data and schema changes along with infrastructure updates are seamless and audited.
• Observability: Implement practices to build database-specific alerting, tracing, and automation that maintain the highest levels of data availability.
• Compliance: SOX-compliant access controls, ensuring data integrity and auditability are baked into the code.
• Operations: Support incident response, root cause analysis, and cross-functional platform initiatives.
• Take on scoped technical delivery work as part of broader platform initiatives.

About You

• You have 6+ years of experience working with relational databases (e.g., MySQL, Postgres) in production, including cloud-managed services like CloudSQL or RDS
• You have 2+ years of hands-on experience with MongoDB, including performance tuning and applying governance or lifecycle practices
• You’ve worked in cloud-native environments (preferably GCP) and are comfortable using Terraform or equivalent infrastructure-as-code tools
• You are proficient in Python (or another general-purpose language) for scripting, automation, or infrastructure workflows
• You have experience implementing CI/CD workflows for database changes and are familiar with Git-based deployment
• You’ve contributed to or enforced data governance policies such as retention, pruning, and access controls
• You’ve made measurable improvements to platform performance, cost, or reliability — including optimizing indexing strategies, query patterns, and database schema design
• You take ownership, communicate clearly, and enjoy collaborating with engineers and data teams
• You’re pragmatic, improvement-driven, and excited to shape the future of database engineering in a cloud-first world

Bonus Points

• Familiarity with Snowflake or BigQuery, including query performance and cost optimization
• Experience working with workflow orchestration tools such as Prefect, Airflow, or similar
• Experience integrating SQL or dbt linters into CI/CD workflows to enforce code quality and platform standards
• Experience designing or maintaining data quality checks, test automation, or schema validation workflows
• Hands-on experience with Kubernetes and Helm to manage database operators and sidecar utilities.
• Background in tooling like Python, Go, or Java to automate away "toil."

Benefits:

At Rent the Runway, we’re committed to the happiness and well-being 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

About the Role

We are looking for a Senior Solutions Product Marketing Manager to join our Product + Portfolio Marketing team and own Fivetran's solutions marketing program end-to-end. This is a highly strategic, cross-functional role responsible for building and scaling how Fivetran goes to market around customer use cases and solutions, translating technical capabilities into compelling, outcome-based narratives that resonate with both technical and business buyers. As the owner of this program, you will iterate on the framework, set the strategy, and drive execution across use cases, solution positioning, and the assets that bring them to life for sellers, partners, and customers.

You'll work with Sales and Marketing to ensure the solutions framework is adopted in the field and activated across campaigns and programs, while also partnering with Product to keep solution positioning grounded in specific products. You'll engage personas spanning data engineers and architects to analytics leaders, CDOs, and CIOs, connecting technical capabilities to business outcomes across the modern data landscape.

This is a full-time position based out of our Dublin office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

What You'll Do

• Solutions Program Ownership: Own Fivetran's solutions marketing framework, including use case categories, technical and business use cases, and solution positioning. Build and maintain a scalable program that connects customer pain points and buying triggers to Fivetran's platform capabilities. Establish a review cadence to keep use cases, solutions, and messaging current as the market and product evolve. As the program matures, develop an industry vertical layer that connects Fivetran's solutions to the specific challenges and use cases of priority industries such as retail, financial services, healthcare, and manufacturing.
• Messaging and Positioning: Develop differentiated, outcome-based messaging and positioning for each priority use case and solution, tailored to relevant buyer personas and segments. Translate complex technical concepts into clear value narratives that resonate across the buyer journey, from initial discovery through evaluation and expansion. Partner with Product to ensure solution positioning is grounded in platform capabilities and reflects the latest product priorities.
• Sales Adoption and Iteration: Partner closely with Sales leadership, AEs, BDRs, SEs, and CSMs to drive adoption of the solutions selling framework in the field. Actively gather feedback on what messaging is landing, which discovery questions are effective, and where sellers are running into gaps or objections, then use that input to continuously iterate on the framework and assets.
• Content and Sales Enablement: Build and maintain a comprehensive bill of materials for solutions selling, including solution briefs, discovery question guides, reference architecture diagrams, sales playbooks, and competitive battle cards. Partner with Sales Enablement to train and equip sellers with the tools and context they need to lead use case-driven conversations. Map customer success stories and case studies to priority use cases to support pipeline and expansion motions.
• Cross-Functional Collaboration: Serve as the connective tissue between Product, Sales, Marketing, and Enablement, aligning stakeholders on priorities, messaging, and delivery timelines. Collaborate with Partner Marketing to develop joint solution plays with key ecosystem partners such as Snowflake and Databricks. Partner with Demand Generation and Campaign teams to ensure use case and solution messaging is activated across marketing channels and sales motions.
• Customer and Market Intelligence: Conduct ongoing research into customer buying patterns, competitive positioning, and partner strategies to inform and validate use case and solution priorities. Synthesize inputs from win/loss analysis, sales calls, seller feedback, and industry analyst conversations to continuously sharpen positioning. 

Skills We're Looking For

• 5–8 years of experience in product marketing, solutions marketing, sales engineering, or a related GTM function, ideally at a B2B data or enterprise SaaS company
• Proven experience owning a solutions or use case marketing program, including defining frameworks, building messaging, and delivering enablement assets at scale
• Familiarity with industry vertical go-to-market motions and how solution positioning shifts across verticals such as retail, financial services, or manufacturing
• Understanding of enterprise sales motions, including new business and expansion plays, and how solutions-based selling fits into each
• Understanding of the modern data ecosystem, including data integration, cloud data warehouses, data lakes, and emerging AI and analytics use cases
• Experience working cross-functionally across Sales, Product, SE, and Enablement teams to align on priorities and drive execution
• Exceptional written and verbal communication skills, with the ability to adapt messaging for different personas, mediums, and stages of the buyer journey
• Strong project management skills with the ability to manage a complex, multi-workstream program and meet deadlines in a fast-moving environment
• A data-driven mindset, comfortable using win/loss data, pipeline metrics, and content performance to inform decisions and measure program impact

#LI-NR1
#LI-HYBRID

Location
Our Solutions Engineer, DoiT Cloud Intelligence, will be an integral part of our Solutions Engineering team in the UK, Ireland, Netherlands, Estonia and Sweden.

Who We Are
DoiT is a global technology company empowering cloud-driven organizations to achieve business growth and innovation through strategic cloud utilization. We blend data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state, from initial planning to full-scale production.
With extensive experience across various cloud environments, we possess deep specializations in Cloud Data Platforms such as  Snowflake, Databricks, BigQuery, as well as FinOps experience. As a trusted and award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we proudly support over 4,000 customers worldwide.
Our flagship offerings include DoiT Cloud Intelligence, which uniquely combines advanced technology with human insight, enabling us to solve complex multicloud challenges and drive significant efficiency for our clients.

The DoiT Cloud Intelligence platform offers:

• Provides deep visibility into cloud cost, usage, performance, and optimization opportunities across complex multi-cloud environments, enabling organizations to make data-driven infrastructure decisions.
• Combines automation, analytics, and expert guidance to identify savings opportunities, improve resource efficiency, and continuously optimize cloud investments at scale.
• Designed to power Managed Service Providers (MSPs), Systems Integrators (SIs), and Private Equity (PE) operating teams with portfolio-level insights, benchmarking, and operational tooling to manage multiple cloud environments effectively.
• Goes beyond reporting by delivering prescriptive recommendations and automated workflows that help engineering, finance, and platform teams turn cloud intelligence into measurable operational and financial outcomes.

The Opportunity
As a Solutions Engineer supporting DoiT Cloud Intelligence, you will partner with Account Executives to help enterprises, MSPs, Private Equity firms, and Systems Integrators unlock actionable insights across their cloud environments—driving cost efficiency, operational visibility, and smarter cloud decision-making through DoiT’s next-generation intelligence platform.

Responsibilities

• Technical Qualification & Discovery: Collaborating with the Account Executive to thoroughly understand the prospect’s cloud environment, FinOps maturity, cost management challenges, and operational goals through in-depth technical discovery sessions across engineering, finance, and platform teams.
• Technical Validation & POV Leadership: Owning and driving the technical validation and Proof of Values (POVs) specifically for DoiT Cloud Intelligence. This includes meticulous POV preparation, proactive management, and ensuring successful technical outcomes, demonstrating clear value and alignment with prospect requirements.
• Platform Demonstrations: Developing and delivering compelling and tailored demonstrations of DoiT Cloud Intelligence, showcasing capabilities such as cloud cost visibility, optimization insights, and operational intelligence across complex multi-cloud environments.
• Business Case & ROI Development: Leveraging your understanding of cloud economics and FinOps to develop compelling business cases and ROI analyses that clearly articulate the financial and operational impact of adopting DoiT Cloud Intelligence.
• Partner & Portfolio Motion Support (MSP, PE, SI): Supporting technical engagements with Managed Service Providers (MSPs), Private Equity (PE) firms, and Systems Integrators (SIs) by demonstrating how DoiT Cloud Intelligence enables portfolio-level visibility, operational insights across multiple cloud environments, and scalable optimization strategies.
• DoiT Cloud Intelligence Expertise: Becoming the go-to expert within the company for DoiT Cloud Intelligence, ensuring prospects and partners achieve optimal results and a seamless onboarding experience.
• Technical Win Ownership: Taking full ownership of the technical win for DoiT Cloud Intelligence engagements, guiding prospects through the evaluation process, addressing technical requirements, and building confidence in the platform’s ability to drive cloud efficiency and operational insights.
• Event & Conference Presentations: Representing DoiT Cloud Intelligence at company events, webinars, and industry conferences, delivering engaging presentations and demonstrations that highlight the platform’s cloud intelligence and FinOps capabilities.
• Product Feedback and Customer Advocacy: Translate customer pain points, partner requirements, and feature gaps into structured, technically credible input for product and engineering teams, helping shape the evolution of the Cloud Intelligence platform.
• Accurate, Timely Documentation: Ensure timely entry of data into internal business support systems. Contribute to systems and tools that provide key business information and metrics to highlight performance and effectiveness.

We are seeking an individual who is not only passionate about FinOps and  optimization but also thrives on engaging technically with customers, solving their most pressing challenges related to FinOps and cost management. This role offers the exciting opportunity to be at the forefront of innovation within the rapidly evolving FinOps ecosystem.

About you
You are an accomplished Solutions Engineer with experience in a B2B SaaS software environment.  You have an established track record of success and enjoy being the model for the ideal Solutions Engineer within a team.  You are excited about enabling companies to transform themselves using the public cloud and the service offerings in the cloud (AWS, GCP, Azure, etc.)  You hold yourself accountable for the success of any initiative you are involved in. You want to be a part of a high performance sales organization and love winning against the competition.  You are comfortable working in a fast paced, growing, collaborative, entrepreneurial environment.

Qualifications

• 7+ years experience at B2B SaaS software company in a pre-Solution Engineering role selling into both enterprise and mid-market accounts.
• An understanding of ITSM eco-systems and prominent solutions within them, such as: Cloud Management tools, DataDog, Chef, Ansible, Puppet, New Relic, ServiceNow, AlertLogic etc.
• Experience working with Amazon Web Services (AWS) or equivalent cloud, and Datacenter experience with knowledge of hypervisors like VMWare.
• Strong data analysis skills and the ability /navigate spreadsheets to identify trends, outliers, correlations and reconciliation needs across large data sets.
• Good practical understanding of cloud-centric architectures.
• Comfort level working in a metric-driven environment, including reporting on and improving business performance against a set of monthly KPIs and metrics.
• The ability to take complex pieces of technology and explain them in a simple and easy to understand way.
• Solid verbal, written, presentation and interpersonal communication skills.
• Intellectual curiosity, great problem solving skills and passion for continuous improvement.
• Previous experience working with/presenting to executive level prospects and customers.
• Experience with modern technical selling best practices and selling in a competitive environment, including implementing new or improved trial, demo, and RFP processes.
• Proven track record of success in a fast growing and scaling business. 

Are you a Do’er?
Be your truest self. Work on your terms. Make a difference.
We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. 
What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our core values. 

Sounds too good to be true? Check out our Glassdoor Page.
We thought so too, but we’re here and happy we hit that ‘apply’ button. 

• Unlimited Vacation
• Flexible Working Options
• Health Insurance
• Parental Leave
• Employee Stock Option Plan
• Home Office Allowance
• Professional Development Stipend 
• Peer Recognition Program

Many Do’ers, One Team
DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.

#LI-Remote

This is a remote opportunity and we would be interested in applicants living in Ireland time zones only at this time. 

Senior Software Engineer - Grafana Databases, Managed Services

The Opportunity: 

The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale.

In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply.

What You’ll Be Doing:

As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves:

• Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure
• Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.)
• Designing safe upgrade and rollout strategies at scale
• Improving observability, automation, and operational ergonomics
• Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance
• Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc.
• Serving as a primary escalation point and on-call for relevant incidents
• Owning the relationship with all system vendors, including WarpStream Labs and others.
• As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.

What Makes You a Great Fit:

• Regular 1:1s with your manager and close collaboration with teammates across regions
• Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design
• Improving the diagnosability of core streaming and database systems in production, where possible.
• Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure
• Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies
• Planning and executing safe upgrades and rollouts across dozens of production clusters
• Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy
• Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk
• Sharing best practices and distributed systems knowledge with partner teams
• Participating in incident response, from investigation through resolution and post-incident reviews (PIR)

Requirements:

• 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles.
• Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra.
• Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.).
• Solid understanding of distributed systems design and large-scale system trade-offs.
• Proficiency in at least one programming language (Go preferred, but not required).
• Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior.
• Experience participating in blameless incident response and writing high-quality post-incident reviews.
• Clear communicator who can collaborate across teams and work autonomously.
• Curious, pragmatic, action-oriented, and kind (this is important!)
  
  

Compensation & Rewards:

In Ireland, the Base compensation range for this role is EUR 104,000 - EUR 124,800. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote opportunity and we would be interested in applicants living in UK time zones only at this time. 

Senior Software Engineer - Grafana Databases, Managed Services

The Opportunity: 

The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale.

In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply.

What You’ll Be Doing:

As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves:

• Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure
• Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.)
• Designing safe upgrade and rollout strategies at scale
• Improving observability, automation, and operational ergonomics
• Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance
• Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc.
• Serving as a primary escalation point and on-call for relevant incidents
• Owning the relationship with all system vendors, including WarpStream Labs and others.
• As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.

What Makes You a Great Fit:

• Regular 1:1s with your manager and close collaboration with teammates across regions
• Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design
• Improving the diagnosability of core streaming and database systems in production, where possible.
• Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure
• Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies
• Planning and executing safe upgrades and rollouts across dozens of production clusters
• Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy
• Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk
• Sharing best practices and distributed systems knowledge with partner teams
• Participating in incident response, from investigation through resolution and post-incident reviews (PIR)

Requirements:

• 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles.
• Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra.
• Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.).
• Solid understanding of distributed systems design and large-scale system trade-offs.
• Proficiency in at least one programming language (Go preferred, but not required).
• Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior.
• Experience participating in blameless incident response and writing high-quality post-incident reviews.
• Clear communicator who can collaborate across teams and work autonomously.
• Curious, pragmatic, action-oriented, and kind (this is important!)
  
  

Compensation & Rewards:

In the United Kingdom, the Base compensation range for this role is GBP 91,755 - GBP 110,106. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote opportunity and we would be interested in applicants living in Spain time zones only at this time. 

Senior Software Engineer - Grafana Databases, Managed Services

The Opportunity: 

The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale.

In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply.

What You’ll Be Doing:

As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves:

• Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure
• Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.)
• Designing safe upgrade and rollout strategies at scale
• Improving observability, automation, and operational ergonomics
• Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance
• Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc.
• Serving as a primary escalation point and on-call for relevant incidents
• Owning the relationship with all system vendors, including WarpStream Labs and others.
• As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.

What Makes You a Great Fit:

• Regular 1:1s with your manager and close collaboration with teammates across regions
• Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design
• Improving the diagnosability of core streaming and database systems in production, where possible.
• Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure
• Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies
• Planning and executing safe upgrades and rollouts across dozens of production clusters
• Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy
• Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk
• Sharing best practices and distributed systems knowledge with partner teams
• Participating in incident response, from investigation through resolution and post-incident reviews (PIR)

Requirements:

• 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles.
• Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra.
• Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.).
• Solid understanding of distributed systems design and large-scale system trade-offs.
• Proficiency in at least one programming language (Go preferred, but not required).
• Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior.
• Experience participating in blameless incident response and writing high-quality post-incident reviews.
• Clear communicator who can collaborate across teams and work autonomously.
• Curious, pragmatic, action-oriented, and kind (this is important!)
  
  

Compensation & Rewards:

In Spain, the Base compensation range for this role is EUR 82,988 - EUR 99,586. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

At Sony Music Entertainment, we fuel the creative journey. We’ve played a pioneering role in music history, from the first-ever music label to the invention of the flat disc record. We’ve nurtured some of music’s most iconic artists and produced some of the most influential recordings of all time.

Today, we work in more than 70 countries, supporting a diverse roster of international superstars, developing and independent artists, and visionary creators. From our position at the intersection of music, entertainment, and technology, we bring imagination and expertise to the newest products and platforms, embrace new business models, employ breakthrough tools, and provide powerful insights that help our artists push creative boundaries and reach new audiences. In everything we do, we’re committed to artistic integrity, transparency, and entrepreneurship.

Sony Music Entertainment is a member of the Sony family of global companies.

Sony Music’s Product, Design, Engineering & Global Operations (PDEGO) team is seeking a Vice President of Engineering within our Content product team.

You came to Tenable for a career, not just a job. We want you to succeed in the role you have today, but also know there are opportunities for you to grow and develop professionally.

Your Role:

Tenable is looking for a Senior Software Engineer to join our Data Integrations team. Our team is focused on designing, developing, and maintaining state-of-the art solutions for data ingestion, data modelling and data serving within the Tenable One platform. As a Senior Software Engineer on the Data Integration team, you will have the opportunity to be part of implementing and maintaining a globally distributed and highly scalable cloud-native data platform using modern technologies and programming languages.

Your Opportunity:

• Work cross-functionally with other developers, product owners and various Tenable teams to design, develop and maintain cloud services for Data Platform services.
• Promote clear and simple software design while actively driving the team toward better practices and solutions.
• Support a true DevOps / CICD software delivery model.
• Promote high quality aimed at areas such as security, reliability, testability and
• maintainability.
• Drive innovation by contributing new ideas for our processes, tools, and technologies.
• Coach and mentor mid-level and junior staff.

What You'll Need:

• B.S. degree in Computer Science or a directly related field, or equivalent work experience.
• 5+ years of software development experience in enterprise-level, backend systems.
• Experience developing in languages such as: Java or Kotlin.
• Experience working and supporting cloud-native workloads specifically with Kubernetes, docker and container registries.
• Experience with infrastructure as code e.g. Terraform, CloudFormation.
• Strong experience with AWS services, including S3, DynamoDB, EC2, and Aurora,
• preferably via IAC, SDK and/or API.
• Experience with CI/CD pipelines and tools like Jenkins.
• Proficiency with Git for source code version control.
• Experience designing features end to end, including rollout and monitoring.
• Accountability for the behavior of your software in production.
• Experience in working in an Agile team, and an enthusiasm for working collaboratively within and across product teams.
• The ability to work independently and as a part of a team, and to lead/drive projects as necessary.
• Experience coaching and leading mid-level and junior staff in the design, implementation, and execution of highly technical development projects.
• The desire to continuously learn and be exposed to new technologies.

• Experience with data transfer and streaming technologies such as Kafka, Flink, NiFi, Kinesis, etc.
• Experience with cloud data platforms such as Snowflake, Databricks, Clickhouse, etc.
• Experience with data file formats like Parquet and Avro. Experience with Iceberg would be a plus.
• Understanding of SQL scripting and procedures with relational databases.
• History of open-source contributions.

#LI-AV1

#LI-Hybrid

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.

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a talented Sales Engineer to join our Commercial sales team. As a Commerical Sales Engineer, you will work closely with our sales team to understand our Commercial customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and ensuring a successful proof-of value throughout the sales cycle.

This is a full-time position based out of our Dublin office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use

 AWS, GCP, Azure, Snowflake, BigQuery, Databricks,  Kubernetes, Docker, Podman, Grafana, Linux, Windows, Python, Java 

What You’ll Do

• Work with Commercial customers to understand their business, their use cases, and their data replication requirements
• Develop and deliver technical presentations to Commercial audiences
• Ensure the technical win by running an organized proof-of-value process
• Work closely with multiple cross-fuctional organizations driving change and improvements to Fivetran as a whole.
• Work closely with multiple Sales representatives, while maintaining a high level of customer focus and technical excellence
• Stay up-to-date on the latest technologies and trends in our industry
•  Assist team members in advanced technical or business roadblocks

Skills We’re Looking For

• 4+ years in data replication, sales engineering, or related technical field
• Strong technical background covering database replication, cloud infrastructure, and data replication technologies with some form of hands on experience
• Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools
• Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders
• Strong problem-solving and analytical skills
• Experience with Oracle, SQL Server, Postgres, MySQL, and NoSQL databases
• Hands on experience with other data replication or ETL tools
• Experience with self-hosted software applications and supporting infrastructure
• Hands on networking experience both in the cloud and on-premise

Bonus Skills​

• Experience developing partner relationships
• Specialized expertise in security posture 
• Experience with self-hosted and SaaS software applications
• Hands on experience with DBT

#LI-LA1
#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.

Location: Our Solutions Engineer, SELECT by DoiT, will be an integral part of our Solutions Engineering team in EMEA. This role is based remotely in the UK or the Netherlands.

Who We Are

DoiT is a global technology company that empowers cloud-driven organizations to achieve business growth and innovation through strategic cloud utilization. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state—from initial planning to full-scale production.

With deep experience across cloud environments, we specialize in Cloud Data Platforms such as Snowflake, Databricks, and BigQuery, alongside strong FinOps expertise. As a trusted and award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we support over 4,000 customers worldwide.

Our flagship offerings include DoiT Cloud Intelligence, which uniquely blends advanced technology with human insight to solve complex multicloud challenges and drive efficiency. We also offer SELECT for Snowflake—a pioneering solution for cost observability and optimization (with Databricks and BigQuery support coming soon). By automating optimizations and delivering actionable cost-saving insights, SELECT enables organizations to achieve unparalleled efficiency across their Cloud Data Platforms: https://select.dev/

The Opportunity

As a Solutions Engineer, SELECT by DoiT, you will be a pivotal technical leader, collaborating closely with our Account Executive team to deliver exceptional value throughout the customer journey, specifically focusing on our cutting-edge Snowflake/Databricks optimization capabilities.

Responsibilities

• Technical Qualification & Discovery: Collaborating with the Account Executive to thoroughly understand the prospect's technical environment, Cloud Data Platform cost challenges, cost optimization goals, and key business objectives through in-depth technical discovery sessions.
• Technical Validation & POV Leadership: Owning and driving the technical validation and Proof of Value (POV) exercises for SELECT. This includes meticulous POC preparation, proactive management, and ensuring successful technical outcomes, demonstrating clear value and alignment with prospect requirements.
• Platform Demonstrations: Tailoring and delivering compelling SELECT platform demonstrations to prospects, effectively showcasing its capabilities and addressing their specific use cases and concerns.
• Business Case & ROI Development: Leveraging your analytical skills and deep understanding of Cloud Data Platform to develop compelling business cases and robust ROI analyses that clearly articulate the tangible value, cost savings, and performance improvements achievable with SELECT.
• SELECT Expertise: Becoming the go-to expert within the company for SELECT, ensuring prospects achieve optimal results and a seamless implementation experience.
• Technical Win Ownership: Taking full ownership of the technical win for SELECT engagements, guiding prospects through the technical evaluation process, addressing all technical requirements, and building technical confidence in the solution.
• Event & Conference Presentations: Representing DoiT and SELECT at company events and industry conferences, delivering engaging presentations and demonstrations to a wider audience, showcasing our Snowflake/Databricks (and soon BigQuery) optimization expertise as well as platform capabilities.
• Product Feedback and Customer Advocacy: Translate customer pain points and feature gaps into structured, technically credible input for R&D teams. Represent the voice of the technical customer in roadmap discussions.
• Accurate, timely documentation: Ensure timely entry of data into internal business support solutions.  Contribute to systems and tools to provide key business information and metrics to highlight performance and effectiveness.

We are seeking an individual who is not only passionate about Snowflake/Databricks/BigQuery optimization but also thrives on engaging technically with customers, solving their most pressing challenges related to Cloud Data Platform cost and performance. This role offers the exciting opportunity to be at the forefront of innovation within a rapidly evolving ecosystem.

About You

You are an accomplished Solutions Engineer with a proven track record in a B2B SaaS environment, ideally with a strong emphasis on Snowflake/Databricks/BigQuery solutions. You excel as a technical leader within a sales team and are enthusiastic about empowering companies to optimize their Cloud Data Platform environments for maximum cost efficiency and performance through innovative solutions like SELECT. You are highly accountable for the technical success of all initiatives you are involved in and are driven to contribute to a high-performing sales organization that consistently wins in a competitive market. You are comfortable and thrive in a fast-paced, growing, collaborative, and entrepreneurial setting.

Qualifications

• 5+ years of experience in a Solutions Engineering role within a B2B SaaS software company, having a significant portion of that experience focused on selling to Snowflake, Databricks and BigQuery users and directly addressing challenges related to Cloud Data Platforms or cloud cost management.
• Deep and demonstrable understanding of Snowflake, Databricks, or BigQuery as well as associated best practices
• Hands-on experience working with SaaS solutions focusing on Cloud Data Platforms in the areas of observability, optimization, FinOps, or data integration.
• Exceptional data analysis skills with a proven ability to identify key trends, outliers, and correlations as well as the translation of those observations into actionable insights.
• Strong track record of leveraging product data to construct compelling business cases and ROI justifications for prospective customers, clearly demonstrating the substantial cost savings and performance enhancements achievable through our solution.
• Exceptional ability to articulate complex Cloud Data Platform related concepts and SELECT functionalities in a clear, concise, and easily understandable manner to both technical and business audiences.
• Outstanding verbal, written, presentation, and interpersonal communication skills, with the confidence and expertise to present on sophisticated topics such as Cloud Data Platform optimization strategies and the compelling value proposition of SELECT.
• Strong intellectual curiosity, exceptional problem-solving abilities, and a genuine passion for continuous learning and improvement within the dynamic Snowflake/Databricks/BigQuery ecosystem.
• Proven experience working with and presenting to executive-level prospects and customers on critical topics related to Cloud Data Platforms and especially cost management.
• Demonstrated experience with modern technical selling best practices/methodologies and a successful track record in competitive sales environments, including the ability to contribute to and implement effective trial, demo, and RFP processes specifically tailored for Cloud Data Platform optimization solutions like SELECT.
• Prior professional experience as a Snowflake/Databricks/BigQuery data engineer/architect or FinOps professional is a plus.
• A proven history of success in a fast-paced and scaling business, ideally within the Cloud Data Platform ecosystem.

Are you a Do’er?

Be your truest self. Work on your terms. Make a difference. 

We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally.  

What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our core values. 

Sounds too good to be true? Check out our Glassdoor Page.

We thought so too, but we’re here and happy we hit that ‘apply’ button. 

Full-time employee benefits include: 

• Unlimited Vacation
• Flexible Working Options
• Health Insurance
• Parental Leave
• Employee Stock Option Plan
• Home Office Allowance
• Professional Development Stipend 
• Peer Recognition Program

Many Do’ers, One Team
DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success. 

#LI-Remote

The Opportunity:

We are looking for a People Analytics Analyst to join our recently formed People Analytics team and serve as a strategic, data-driven partner to leaders across the business. This role blends strong analytical and technical skills with a consultative, business-facing mindset — someone who loves working with data and using it to influence decisions.

This role will partner closely with HR Business Partners, the People Leadership Team (PLT), senior business leaders, and teams across the broader People organization (e.g., Talent Acquisition, L&D, Total Rewards, Workday), translating complex people data into clear insights, narratives, and recommendations. A significant focus of this role will be supporting Sales and Go-To-Market (GTM) organizations, using workforce data to help leaders understand performance, retention, hiring, and organizational effectiveness within revenue-generating teams. You will report to the Director of People Analytics.

The People Analytics function is entering its next phase of growth — expanding beyond foundational reporting into deeper insights, standardization, and proactive workforce analytics. This role will play a critical part in shaping how people data is used to understand organizational health, guide strategy, and support leaders in solving real business problems.

If you’re excited about being both a hands-on data practitioner and a trusted advisor to the business, particularly in fast-paced, performance-driven environments like Sales, we’d love to hear from you.

What You’ll Be Doing:

• Serve as a go-to, business-facing People Analytics expert for People Team Business Partners, the People Leadership Team, and senior business leaders — tracking against organizational health metrics and people plan objectives, always close to the business and its biggest workforce challenges, with a strong focus on supporting Sales and Go-To-Market (GTM) organizations. 
• Conduct and deliver ongoing workforce analysis, QBRs, and ad hoc analytics that inform and drive better business decisions.
• Lead data storytelling: translate complex people data into clear, compelling narratives and recommendations tailored to executive and leadership audiences
• Proactively partner with BPs and leaders on strategic areas of focus (e.g., attrition, hiring, performance, mobility, retention, org design), using data to identify trends, risks, and opportunities.
• Bring curiosity and tenacity to connecting data across disparate people systems — uncovering trends, risks, and opportunities across attrition, hiring, performance, mobility, org health, and more
• Develop rapid 'v0.5' analytical solutions from the front lines, then partner with the broader People Analytics team to scale and productionize them
• Leverage AI tools and automation throughout your workflow — from analysis and reporting to insight generation — while applying your expertise to guide, correct, and elevate AI output
• Use data skills, curiosity and People Analytics expertise to develop scalable SQL modeling, business-facing dashboards, automated reporting and AI solutions. 
• Drive forward the strategic roadmap of the People Analytics function, including expanding reporting and analytics capabilities, establishing and evolving KPIs,  and leading key projects in critical business areas.

What Makes You a Great Fit:

• Experience in a people analytics, HR analytics, or workforce analytics role with meaningful exposure to business-facing stakeholders
• An endlessly curious analytical mindset — you love connecting data together and seeing what it reveals
• SQL proficiency: writing complex, efficient queries is a regular part of your workflow (BigQuery, Snowflake, or similar)
• Strong AI skills and genuine interest in using AI tools to improve how you work — you proactively seek AI-driven solutions and apply your domain expertise to guide and validate them
• Advanced experience with Excel and/or Google Sheets for analysis, modeling, and quick-turn insights
• Experience with data visualization and BI tools (PowerBI, Tableau, Looker; Grafana BI a plus) with an interest in enabling self-service analytics
• Experience working with people data from HR systems such as Workday, Greenhouse, LMS platforms, or similar
• Strong presentation and storytelling skills — you can translate complex data into clear, compelling insights for non-technical audiences
• Excellent communication and stakeholder management skills; you build trust and credibility with HR partners and business leaders
• Resilience and adaptability — you thrive under pressure, handle competing priorities without losing quality, and treat ambiguity as a challenge rather than an obstacle
• Comfort operating in a growing, evolving analytics function where building, iterating, and scaling are part of the job

Bonus Points For:

• Experience with dbt or analytics engineering concepts
• Experience helping define analytics strategy, metrics, or reporting standards
• A passion for building — better datasets, cleaner reporting, or more impactful insights

Compensation & Rewards:

In Ireland, the compensation range for this role is EUR 92,000 - EUR 110,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. 

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

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

At Sony Music Entertainment, we fuel the creative journey. We’ve played a pioneering role in music history, from the first-ever music label to the invention of the flat disc record. We’ve nurtured some of music’s most iconic artists and produced some of the most influential recordings of all time.

Today, we work in more than 70 countries, supporting a diverse roster of international superstars, developing and independent artists, and visionary creators. From our position at the intersection of music, entertainment, and technology, we bring imagination and expertise to the newest products and platforms, embrace new business models, employ breakthrough tools, and provide powerful insights that help our artists push creative boundaries and reach new audiences. In everything we do, we’re committed to artistic integrity, transparency, and entrepreneurship.

Sony Music Entertainment is a member of the Sony family of global companies.

Sony Music Product Design Engineering and Global Operations (PDEGO)  is looking for a Senior Software Engineer to join our growing D2C development team in our King’s Cross office (London). Your work will power the technology that will support our artist, label, and merchandise stores worldwide.

About Sony Music Entertainment

At Sony Music Entertainment, we fuel the creative journey. We’ve played a pioneering role in music history, from the first-ever music label to the invention of the flat disc record. We’ve nurtured some of music’s most iconic artists and produced some of the most influential recordings of all time.

Today, we work in more than 70 countries, supporting a diverse roster of international superstars, developing and independent artists, and visionary creators. From our position at the intersection of music, entertainment, and technology, we bring imagination and expertise to the newest products and platforms, embrace new business models, employ breakthrough tools, and provide powerful insights that help our artists push creative boundaries and reach new audiences. In everything we do, we’re committed to artistic integrity, transparency, and entrepreneurship.

Sony Music Entertainment is a member of the Sony family of global companies.

Sony Music's Product Design Engineering and Global Operations (PDEGO) Team is looking for a Software Engineer to join our D2C team in our King’s Cross office (London). Your work will power the technology that will support our artist, label, and merchandise stores worldwide.

As a Software Engineer with PDEGO:

What you'll do:

• Work with a cross-functional team to build products that empower artists and record labels across the globe
• Contribute to all tiers of our architecture to produce high quality, robust user experiences
• Write clean, tested, maintainable code
• Work closely with product management to understand client requirements
• Participate in re-architecture, refinement and technical design of various systems

Who you are:

• We’re seeking a Data Platform Software Engineer with 4+ years of experience in the following areas:
• Strong experience implementing distributed systems and scalable data solutions.
• Proficiency in a scripting language, such as Python, for data pipeline development and automation.
• Deep experience with various database and data warehousing technologies and query languages (we use Neo4j, Kafka, MySQL, Snowflake, Elasticsearch, and more).
• Experience designing, building, and maintaining robust ETL/ELT data pipelines, including orchestration tools like Airflow, for large-scale data ingestion and transformation.
• Experience with data transformation tools such as dbt (data build tool).
• Familiar with techniques for data quality monitoring and ensuring data reliability.
• Experience with microservices, APIs, and related standards such as REST and HTTP.
• Comfortable with AWS Cloud technologies and cloud-native data services.
• Experience with Terraform or similar Infrastructure as Code (IaC) tools for managing and provisioning cloud resources.
• Experience using log analysis and monitoring tools to investigate data issues and pipeline performance.
• Experience writing unit and integration tests to ensure data integrity.
• Experience working in an agile team.

As the Senior CRM Manager, you will look after a team who are responsible for working closely with our labels at SMEUK to help deliver best-in-class, creative & innovative CRM campaigns for our artists with the aim of engaging artist current fanbases & acquisition of new fans. You will also work closely with our Digital Media, Web Ops, E-Commerce teams. 

You will also work closely with our Global Product, Design and Engineering team based out of NY who are responsible for providing the tech by which you will deploy campaigns. With this you will actively demonstrate best-in-class campaigns from the UK and provide continual feedback to this group to develop our offering in this space and contribute to the global strategy. 

The CRM team is positioned within Sony Music UK's creative & strategy hub, which unites Brand Partnerships, Sync, Visual Creative, Digital and Audience Development (D&AD). The division works with Sony Music UK's iconic labels – including Columbia, RCA, Commercial Group, Ministry of Sound, Relentless– to orchestrate best-in-class activations and amplify artist and brand stories to connect with a global audience. 

At Sony Music Entertainment, we fuel the creative journey. We’ve played a pioneering role in music history, from the first-ever music label to the invention of the flat disc record. We’ve nurtured some of music’s most iconic artists and produced some of the most influential recordings of all time.

Today, we work in more than 70 countries, supporting a diverse roster of international superstars, developing and independent artists, and visionary creators. From our position at the intersection of music, entertainment, and technology, we bring imagination and expertise to the newest products and platforms, embrace new business models, employ breakthrough tools, and provide powerful insights that help our artists push creative boundaries and reach new audiences. In everything we do, we’re committed to artistic integrity, transparency, and entrepreneurship.

Sony Music Entertainment is a member of the Sony family of global companies.

Sony Music’s Product, Design, Engineering & Global Operations (PDEGO) team is seeking a Lead Software Engineer within our Pub Admin product team in our King’s Cross office (London).  Pub Admin is our unified, modern rights and royalty platform - where our engineers help transform a complex domain into simple, scalable, high-performance product solutions for Sony Music’s global songwriting community.

At Sony Music Entertainment, we fuel the creative journey. We’ve played a pioneering role in music history, from the first-ever music label to the invention of the flat disc record. We’ve nurtured some of music’s most iconic artists and produced some of the most influential recordings of all time.

Today, we work in more than 70 countries, supporting a diverse roster of international superstars, developing and independent artists, and visionary creators. From our position at the intersection of music, entertainment, and technology, we bring imagination and expertise to the newest products and platforms, embrace new business models, employ breakthrough tools, and provide powerful insights that help our artists push creative boundaries and reach new audiences. In everything we do, we’re committed to artistic integrity, transparency, and entrepreneurship.

Sony Music Entertainment is a member of the Sony family of global companies.

Sony Music’s Product, Design, Engineering & Global Operations (PDEGO) team is seeking a Lead Software Engineer within our Pub Admin product team in our London King’s Cross office. Pub Admin is our unified, modern rights and royalty platform - where our engineers help transform a complex domain into simple, scalable, high-performance product solutions for Sony Music’s global songwriting community.

At Sony Music Entertainment, we fuel the creative journey. We’ve played a pioneering role in music history, from the first-ever music label to the invention of the flat disc record. We’ve nurtured some of music’s most iconic artists and produced some of the most influential recordings of all time.

Today, we work in more than 70 countries, supporting a diverse roster of international superstars, developing and independent artists, and visionary creators. From our position at the intersection of music, entertainment, and technology, we bring imagination and expertise to the newest products and platforms, embrace new business models, employ breakthrough tools, and provide powerful insights that help our artists push creative boundaries and reach new audiences. In everything we do, we’re committed to artistic integrity, transparency, and entrepreneurship.

Sony Music Entertainment is a member of the Sony family of global companies.

Sony Music Product Design Engineering and Global Operations (PDEGO)  is looking for a Senior Software Engineer to join our Pub Admin development team in our King’s Cross office (London). Pub Admin is our unified, modern rights and royalty platform - where our engineers help transform a historically complex domain into simple, scalable, high-performance products for Sony’s global songwriting community.

Senior Data Engineer (Perm, Ireland, Hybrid)

This is a permanent full time opportunity for those based in Ireland. This role will require travel to Germany.

About Nearform

Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. We create AI-enabled solutions that enhance digital experiences, empower developers, and deliver measurable results. In these ways, we partner with ambitious enterprises to deliver enduring impact.

Our deep expertise in solving the world’s most complex digital problems, along with our collaborative, people-first approach, enables enterprises to build breakthrough products and modernise legacy systems by unleashing the power of AI.

Today, our team of 500 experts in 20+ countries is trusted by leading enterprises including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart.  

As part of our Engineering function, you will work closely with clients to translate complex business requirements into innovative digital products. Whether you are a Senior Engineer, Tech Lead, or DevOps Engineer, you will collaborate with distributed teams, leveraging cutting-edge technologies to build secure, high-performance applications. Our Nearform engineers are known for building high quality, scalable solutions that solve real world problems.

About the Senior Data Engineer role

As a Senior Data Engineer at Nearform your main task will be designing, building, and maintaining scalable data platforms, pipelines, and warehouses using SQL, Python, Spark, and other relevant technologies. You will play a key role in building efficient data solutions, optimizing performance, and ensuring seamless data integration. However as you’ll likely work on a variety of projects your responsibilities may also include:

• Designing, building, and optimizing data pipelines and ETL processes for large-scale data ingestion and transformation.
• Developing and maintaining data platforms and warehousing solutions to support analytics and business intelligence needs.
• Implementing scalable data storage solutions and ensuring high availability and performance.
• Enhancing performance in data processing workflows for maximum speed and scalability.
• Collaborating with data scientists, analysts, and stakeholders to understand business needs and translate them into data engineering solutions.
• Ensuring data quality, governance, and compliance across all systems.
• Supporting CI/CD processes for data pipeline deployments and implementing best practices in DevOps for data workflows.
• Conducting code reviews and enforcing best practices in version control, automation, and testing.
• Assisting with defining structured source code management and deployment processes.
• Working with and supporting Technical Leaders in project execution and timely delivery.
• Collaborating with client teams.

What we are looking for in this person

• Significant experience delivering at a Senior Engineer level, specialising in Data engineering. Our Seniors typically have at least 6 years’ commercial experience.
• Practical experience of delivering in an agile environment.
• Practical experience and knowledge of developing real-world solutions.
• Extensive hands-on experience in SQL, Python, and Spark for large-scale data processing.
• Databricks experience 
• Strong expertise in data warehousing technologies (e.g., Snowflake, Redshift, BigQuery, or similar).
• Experience with distributed data processing frameworks (Spark, Hadoop, or similar).
• Deep understanding of ETL processes, data modeling, and schema design.
• Strong experience with cloud-based data solutions (AWS, Azure, GCP) and data lake architectures.
• Experience with automation, CI/CD for data pipelines, and Infrastructure as Code (IaC).
• Deep understanding of versioning control tools - e.g. Git.
• Experience building software collaboratively using pull requests and code reviews.
• Familiarity with data governance, security, and compliance best practices.
• Excellent communication and collaboration skills.
• Professional proficiency in English.
• Must hold valid passport for travel.
• Travel, this role will require up to 1 week per month onsite in Germany.

Benefits & Perks

• Annual Company Bonus - We all help Nearform to hit company goals so we all receive a share of the profits on an annual basis in line with company performance. 
• Work Remotely and Flexibly - We have a genuine dedication to work/life balance. Our flexible working culture allows you to work around what matters - school run, no problem! 
• Paid Time Off Package - We offer an annual leave of 24 days plus public holidays. We also offer sick leave, marriage leave and many more.
• Remote Working Allowance - Every 2 years, you will have a budget of up to €1250 to help you set up a comfortable and productive workspace in addition to your essential equipment provided by Nearform when you join.
• Training and Development Allowance - We understand the importance of continuously learning so we offer an allowance of up to €1000 you can use to upskill yourself.
• Healthcare - It’s important to always take care of your health, so we offer additional private healthcare here at Nearform. If you wish to learn more about the plan offered feel free to reach out to our team.
• Pension & Insurances - We offer a pension match of up to 5% and Income Protection and Death in Service for peace of mind.

Our Interview Process

Talent Call (30 mins via Zoom)
An introductory conversation with a member of our Talent Team to learn more about your background, experience, and career goals. We'll also provide a high-level overview of Nearform and answer any questions you may have. This step helps us assess initial alignment.

Technical Assessment (1 hour via Zoom)
A live coding challenge with one of our trained interviewers. You'll be asked to build a working solution to a problem via screen sharing, demonstrating your data engineering expertise, problem-solving ability, and coding best practices in a real-time environment.

Hiring Manager Interview (45 mins via Zoom)
A conversation with a Hiring Manager focused on your approach to teamwork, client collaboration, and problem-solving in an enterprise development setting. We'll also share more details about Nearform and the potential projects you may join.

There may also be an additional interview with the client depending on the project

Ready to Join Us?

If you're passionate about building high-quality applications, solving complex challenges, and driving innovation in enterprise development, we’d love to hear from you.

Apply now via our careers page at Nearform and be part of a team that values technical excellence, collaboration, and continuous learning.

Nearform is committed to shaping a better world in all that we do. Our global team is built based on respect, inclusivity, diversity and excellence. 

If you require any adjustments to the interview process as part of your application, please let someone from our Talent Team know so they can help.