See yourself at Twilio

Join the team as Twilio’s next Security Engineer, Security Automation on Twilio’s Information Security Team.

About the job

This position is needed to assist Twilio’s Information Security Team operate more efficiently by improving and automating our critical security workflows.

As a Software Engineer, Security Automation on this team, you will participate in all phases of the software development life cycle which includes requirements gathering with security teams, technical design, estimations, sprint planning, coding, testing, deployments and on-call support. You will own, operate and maintain automated workflows that support various security programs including but not limited to cloud security, product security, Governance, Risk & Compliance (GRC)  and enterprise security, employing Agile methodologies to continuously deliver value to our partners.

Responsibilities

In this role, you’ll:

• Develop and implement automated and AI-powered security solutions to protect Twilio's Cloud and Enterprise infrastructure, leveraging data orchestration frameworks and LLM-based approaches.
• Build workflows that integrate structured and unstructured data sources into orchestrated pipelines, enabling intelligent decision-making and risk reduction at scale.
• Design and prototype LLM-driven applications to automate security analysis, incident response, and governance tasks, while ensuring explainability and accuracy.
• Collaborate with cross-functional teams to identify security needs and deliver advanced AI-enabled solutions that address those needs effectively.
• Contribute significantly to defining our security automation and AI roadmap, balancing near-term and long-term business impact with technical feasibility and scalability.
• Own and maintain the operational health of automation and AI-driven systems, ensuring they continue to meet reliability and performance requirements (SLOs and KPIs).
• Support on-call operations for tools, pipelines, and AI models owned by the team.
• Document and share knowledge through clear technical documentation of processes, procedures, AI models, and orchestration systems.
• Stay up-to-date on emerging trends in security automation, data orchestration, and AI/LLMs—and apply them to Twilio’s security operations for continuous innovation.

Qualifications 

Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

• Minimum of five (5) years of experience as a software engineer developing internal tools and automating workflows at scale
• Proficiency in Python (or another scripting language) for development, testing, and automation of security and infrastructure workflows
• Hands-on experience applying AI/ML models, including LLMs, to automate complex business or security processes and build intelligent solutions
• Solid understanding of software security principles, secure coding practices, and security automation
• Experience with data orchestration frameworks (e.g., Airflow, Dagster, Prefect) to manage and scale automation pipelines
• Familiarity with infrastructure-as-code (Terraform), CI/CD systems (BuildKite or similar), and container orchestration platforms (Kubernetes, Docker)
• Strong problem-solving, communication, and collaboration skills, with the ability to iterate quickly on feedback and work across security and engineering teams

Desired:

• Experience with Security Orchestration, Automation, and Response (SOAR) technologies and practices, with a focus on scaling automated incident response
• Proven ability to design and implement security automation frameworks that enable rapid delivery of reliable, reusable, and scalable automated solutions
• Strong interest in or hands-on experience with building and applying AI/ML models (including LLMs) to automate complex workflows in cybersecurity, compliance, or infrastructure operations
• Ability to bridge AI/automation capabilities with security strategy, driving adoption of next-generation solutions across cloud and enterprise environments
• Passion for continuous innovation in leveraging orchestration, automation, and AI to solve real-world security challenges

Location

This role will be remote, and based in Ireland.

Travel

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

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 the Role

We are looking for a Senior Engineer to join the Pricing, Costs & Routing (PCR) squad. You will own the automation and data pipelines that power pricing, billing, and financial reporting across Telnyx's product portfolio — voice, messaging, wireless, and more. This is a backend-heavy role working with Airflow DAGs, rate deck management, cost analysis, and pricing APIs at scale.

What You Will Do

• Own and maintain complex Airflow DAGs for pricing automation, margin reporting, and cost analysis
• Build and manage rate deck pipelines across multiple product lines
• Develop and maintain pricing APIs and services in Python (async)
• Analyze CDR/MDR data to identify vendor discrepancies and drive refund/reconciliation workflows
• Build automated discrepancy resolution and self-healing pipelines
• Create and maintain financial reporting: monthly margin reports, negative margin alerts, GP calculations
• Design and build new automation for quoting workflows

What You Bring

• 5+ years of Python experience with strong async programming (aiohttp, asyncpg, FastAPI)
• Airflow production experience — you've built and maintained complex DAGs, not just run them
• SQL fluency across PostgreSQL and analytical databases (Athena, BigQuery, or similar)
• Comfort working with financial and pricing data (margins, markups, cost basis, currency)
• Ability to read and debug Java services when needed
• CI/CD experience with Docker, Jenkins, or GitHub Actions

Nice to Have

• Go experience
• Telecom or CPaaS background (CDRs, termination rates, origination prefixes)
• Salesforce or CRM integration experience
• Experience with pricing engines or billing systems
• AI coding agent experience — the team uses AI-assisted tooling heavily

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

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimise operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimised consumer shopping journeys from beginning to end.

Overview

As a Senior Data Engineer, you are a key architect in developing, delivering and maintaining intelligent data infrastructure that powers advanced analytics. You are an experienced data engineer with strong ETL pipeline and dimensional modeling skills, who is ready to leverage AI as a powerful collaborator and brings a depth of knowledge to ensure it is employed effectively for the long-term health of our business systems. You are responsible for building complex data pipelines from the ground up, delivering data into and enhancing a database infrastructure that powers advanced analytics, AI-driven decision-making, and autonomous data operations. You work across the organization, supporting and collaborating with our product teams, engineers, data scientists, and data analysts. In this context, you enhance and support our company’s cloud data architecture to support our products and data initiatives, for external clients as well as internal users.

Responsibilities

Core Data Infrastructure 

• Design and implement scalable ETL/ELT workflows that support both batch and streaming data using AWS primitives (e.g., S3, Kinesis, Glue, Redshift, Athena) 
• Architect and maintain cloud-native data platforms with automated ingestion, transformation, and governance pipelines using modern tools like DBT, Apache Spark, Delta Lake, Airflow, and Databricks 
• Work with stakeholders, including the Product, BI, and Support teams, to assist with data-related technical challenges and support their data and infrastructure needs.
• Collaborate with cross-functional Engineering teams using analytics to predict data needs and proactively deliver solutions. 
• Assist in the optimization of data lake/lakehouse infrastructure, to support AI workloads and large-scale analytics. 

Governance & Collaboration 

• Ensure data quality, lineage, and observability.
• Develop and enforce data governance policies, including compliance monitoring and privacy protection. 
• Partner with Data Scientists to optimize data pipelines for model training, inference, and continuous learning workflows. 

Advanced Data Operations 

• Build self-healing data pipelines with AI-driven error detection, root cause analysis, and automated remediation capabilities. 
• Implement intelligent data lineage tracking to automatically discover relationships between datasets and predict downstream impact of changes. 
• Create AI-assisted data discovery systems that help stakeholders find relevant datasets and understand data semantics through natural language interfaces. 
• Participate in on-call rotation, as needed.

AI-Enhanced Development

• Leverage AI coding assistants (GitHub Copilot, Cursor, etc.) to
• Accelerate development cycles, generate complex SQL queries, and automatically optimize data pipeline code. 
• Develop data quality monitoring, using anomaly detection and data profiling tools to identify issues, before they impact downstream systems. 
• Optimize pipeline orchestration, with ML to predict optimal scheduling, resource allocation, and failure recovery patterns.
• Generate and maintain living documentation that evolves with code changes. 

Leadership & Innovation 

• Participate in the full software development lifecycle, including both manual and AI-assisted requirements gathering, automated testing, and intelligent deployment strategies. 
• Mentor junior engineers on both traditional data engineering practices and effective use of AI development tools. 
• Lead tool evaluation and adoption for the data engineering team, establishing best practices for human-AI collaboration. 
• Drive innovation in data architecture by experimenting with emerging technologies.

Qualifications 

Minimum Qualifications  

• 3+ years of experience in data engineering, including building and maintaining large-scale data pipelines
• Extensive experience in SQL RDBMS (SQLServer or similar) with dimensional modeling using star schema, and foundational data warehousing concepts
• Hands-on experience with AWS services such as Redshift, Athena, S3, Kinesis, Lambda, Glue 
• Experience with DBT, Databricks or similar data platform tooling
• Experience working with structured and unstructured data and implementing data quality frameworks
• Excellent communication and collaboration skills 
• Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, or similar), with understanding of prompt engineering, to enhance development productivity 
• Understanding of AI/ML concepts and data requirements, including feature stores, model versioning, and real-time inference pipelines

Preferred Qualifications 

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Experience in a SaaS or e-commerce environment with AI/ML products
• Knowledge of stream processing frameworks like Kafka, Flink, or Spark Structured Streaming 
• Familiarity with LLMOps and AI model deployment patterns in data infrastructure 
• Experience with AI-powered data tools such as automated data catalogs, intelligent monitoring systems, or AI-assisted query optimization
• Proven ability to thrive in a fast-paced, agile environment with shifting priorities and emerging technologies
• Experience with containerization and orchestration tools like Docker and Kubernetes 

Travel Required

Up to 10%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

Benefits 

• Medical, Dental and Psychology benefits 
• Life insurance and disability benefits
• Competitive time off package with 25 Days of PTO, 8 Company-paid Holidays, 5 paid floating holidays (new in 2026!), 2 Wellness days and 1 Paid Volunteer Day 
• Voucher program for Transportation, Meals & Childcare 
• Remote Working Stipend: €40/month automatically applied in payroll
• Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program 
• Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career. 
• Charitable contribution match per team member 

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimise operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimised consumer shopping journeys from beginning to end.

Overview

As a Senior Data Engineer, you are a key architect in developing, delivering and maintaining intelligent data infrastructure that powers advanced analytics. You are an experienced data engineer with strong ETL pipeline and dimensional modeling skills, who is ready to leverage AI as a powerful collaborator and brings a depth of knowledge to ensure it is employed effectively for the long-term health of our business systems. You are responsible for building complex data pipelines from the ground up, delivering data into and enhancing a database infrastructure that powers advanced analytics, AI-driven decision-making, and autonomous data operations. You work across the organization, supporting and collaborating with our product teams, engineers, data scientists, and data analysts. In this context, you enhance and support our company’s cloud data architecture to support our products and data initiatives, for external clients as well as internal users.

Responsibilities

Core Data Infrastructure 

• Design and implement scalable ETL/ELT workflows that support both batch and streaming data using AWS primitives (e.g., S3, Kinesis, Glue, Redshift, Athena) 
• Architect and maintain cloud-native data platforms with automated ingestion, transformation, and governance pipelines using modern tools like DBT, Apache Spark, Delta Lake, Airflow, and Databricks 
• Work with stakeholders, including the Product, BI, and Support teams, to assist with data-related technical challenges and support their data and infrastructure needs.
• Collaborate with cross-functional Engineering teams using analytics to predict data needs and proactively deliver solutions. 
• Assist in the optimization of data lake/lakehouse infrastructure, to support AI workloads and large-scale analytics. 

Governance & Collaboration 

• Ensure data quality, lineage, and observability.
• Develop and enforce data governance policies, including compliance monitoring and privacy protection. 
• Partner with Data Scientists to optimize data pipelines for model training, inference, and continuous learning workflows. 

Advanced Data Operations 

• Build self-healing data pipelines with AI-driven error detection, root cause analysis, and automated remediation capabilities. 
• Implement intelligent data lineage tracking to automatically discover relationships between datasets and predict downstream impact of changes. 
• Create AI-assisted data discovery systems that help stakeholders find relevant datasets and understand data semantics through natural language interfaces. 
• Participate in on-call rotation, as needed.

AI-Enhanced Development

• Leverage AI coding assistants (GitHub Copilot, Cursor, etc.) to
• Accelerate development cycles, generate complex SQL queries, and automatically optimize data pipeline code. 
• Develop data quality monitoring, using anomaly detection and data profiling tools to identify issues, before they impact downstream systems. 
• Optimize pipeline orchestration, with ML to predict optimal scheduling, resource allocation, and failure recovery patterns.
• Generate and maintain living documentation that evolves with code changes. 

Leadership & Innovation 

• Participate in the full software development lifecycle, including both manual and AI-assisted requirements gathering, automated testing, and intelligent deployment strategies. 
• Mentor junior engineers on both traditional data engineering practices and effective use of AI development tools. 
• Lead tool evaluation and adoption for the data engineering team, establishing best practices for human-AI collaboration. 
• Drive innovation in data architecture by experimenting with emerging technologies.

Qualifications 

Minimum Qualifications  

• 3+ years of experience in data engineering, including building and maintaining large-scale data pipelines
• Extensive experience in SQL RDBMS (SQLServer or similar) with dimensional modeling using star schema, and foundational data warehousing concepts
• Hands-on experience with AWS services such as Redshift, Athena, S3, Kinesis, Lambda, Glue 
• Experience with DBT, Databricks or similar data platform tooling
• Experience working with structured and unstructured data and implementing data quality frameworks
• Excellent communication and collaboration skills 
• Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, or similar), with understanding of prompt engineering, to enhance development productivity 
• Understanding of AI/ML concepts and data requirements, including feature stores, model versioning, and real-time inference pipelines

Preferred Qualifications 

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Experience in a SaaS or e-commerce environment with AI/ML products
• Knowledge of stream processing frameworks like Kafka, Flink, or Spark Structured Streaming 
• Familiarity with LLMOps and AI model deployment patterns in data infrastructure 
• Experience with AI-powered data tools such as automated data catalogs, intelligent monitoring systems, or AI-assisted query optimization
• Proven ability to thrive in a fast-paced, agile environment with shifting priorities and emerging technologies
• Experience with containerization and orchestration tools like Docker and Kubernetes 

Travel Required

Up to 10%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

Benefits 

• Medical coverage provided through Irish Life Health; premiums paid by the company 
• Life & disability insurance
• Pension plan with 5% company match
• Competitive time off package with 25 Days of PTO, 11 Company-paid holidays, 2 Wellness days and 1 Paid Volunteer Day 
• Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program 
• €50/month Remote work stipend for internet
• Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career. 
• Charitable contribution match per team member  

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimise operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimised consumer shopping journeys from beginning to end.

Overview

As a Senior Data Engineer, you are a key architect in developing, delivering and maintaining intelligent data infrastructure that powers advanced analytics. You are an experienced data engineer with strong ETL pipeline and dimensional modeling skills, who is ready to leverage AI as a powerful collaborator and brings a depth of knowledge to ensure it is employed effectively for the long-term health of our business systems. You are responsible for building complex data pipelines from the ground up, delivering data into and enhancing a database infrastructure that powers advanced analytics, AI-driven decision-making, and autonomous data operations. You work across the organization, supporting and collaborating with our product teams, engineers, data scientists, and data analysts. In this context, you enhance and support our company’s cloud data architecture to support our products and data initiatives, for external clients as well as internal users.

Responsibilities

Core Data Infrastructure 

• Design and implement scalable ETL/ELT workflows that support both batch and streaming data using AWS primitives (e.g., S3, Kinesis, Glue, Redshift, Athena) 
• Architect and maintain cloud-native data platforms with automated ingestion, transformation, and governance pipelines using modern tools like DBT, Apache Spark, Delta Lake, Airflow, and Databricks 
• Work with stakeholders, including the Product, BI, and Support teams, to assist with data-related technical challenges and support their data and infrastructure needs.
• Collaborate with cross-functional Engineering teams using analytics to predict data needs and proactively deliver solutions. 
• Assist in the optimization of data lake/lakehouse infrastructure, to support AI workloads and large-scale analytics. 

Governance & Collaboration 

• Ensure data quality, lineage, and observability.
• Develop and enforce data governance policies, including compliance monitoring and privacy protection. 
• Partner with Data Scientists to optimize data pipelines for model training, inference, and continuous learning workflows. 

Advanced Data Operations 

• Build self-healing data pipelines with AI-driven error detection, root cause analysis, and automated remediation capabilities. 
• Implement intelligent data lineage tracking to automatically discover relationships between datasets and predict downstream impact of changes. 
• Create AI-assisted data discovery systems that help stakeholders find relevant datasets and understand data semantics through natural language interfaces. 
• Participate in on-call rotation, as needed.

AI-Enhanced Development

• Leverage AI coding assistants (GitHub Copilot, Cursor, etc.) to
• Accelerate development cycles, generate complex SQL queries, and automatically optimize data pipeline code. 
• Develop data quality monitoring, using anomaly detection and data profiling tools to identify issues, before they impact downstream systems. 
• Optimize pipeline orchestration, with ML to predict optimal scheduling, resource allocation, and failure recovery patterns.
• Generate and maintain living documentation that evolves with code changes. 

Leadership & Innovation 

• Participate in the full software development lifecycle, including both manual and AI-assisted requirements gathering, automated testing, and intelligent deployment strategies. 
• Mentor junior engineers on both traditional data engineering practices and effective use of AI development tools. 
• Lead tool evaluation and adoption for the data engineering team, establishing best practices for human-AI collaboration. 
• Drive innovation in data architecture by experimenting with emerging technologies.

Qualifications 

Minimum Qualifications  

• 3+ years of experience in data engineering, including building and maintaining large-scale data pipelines
• Extensive experience in SQL RDBMS (SQLServer or similar) with dimensional modeling using star schema, and foundational data warehousing concepts
• Hands-on experience with AWS services such as Redshift, Athena, S3, Kinesis, Lambda, Glue 
• Experience with DBT, Databricks or similar data platform tooling
• Experience working with structured and unstructured data and implementing data quality frameworks
• Excellent communication and collaboration skills 
• Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, or similar), with understanding of prompt engineering, to enhance development productivity 
• Understanding of AI/ML concepts and data requirements, including feature stores, model versioning, and real-time inference pipelines

Preferred Qualifications 

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Experience in a SaaS or e-commerce environment with AI/ML products
• Knowledge of stream processing frameworks like Kafka, Flink, or Spark Structured Streaming 
• Familiarity with LLMOps and AI model deployment patterns in data infrastructure 
• Experience with AI-powered data tools such as automated data catalogs, intelligent monitoring systems, or AI-assisted query optimization
• Proven ability to thrive in a fast-paced, agile environment with shifting priorities and emerging technologies
• Experience with containerization and orchestration tools like Docker and Kubernetes 

Travel Required

Up to 10%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

Benefits 

• Medical coverage provided through Irish Life Health; premiums paid by the company 
• Life & disability insurance
• Pension plan with 5% company match
• Competitive time off package with 25 Days of PTO, 11 Company-paid holidays, 2 Wellness days and 1 Paid Volunteer Day 
• Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program 
• €50/month Remote work stipend for internet
• Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career. 
• Charitable contribution match per team member  

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimise operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimised consumer shopping journeys from beginning to end.

Overview

As a Senior Data Engineer, you are a key architect in developing, delivering and maintaining intelligent data infrastructure that powers advanced analytics. You are an experienced data engineer with strong ETL pipeline and dimensional modeling skills, who is ready to leverage AI as a powerful collaborator and brings a depth of knowledge to ensure it is employed effectively for the long-term health of our business systems. You are responsible for building complex data pipelines from the ground up, delivering data into and enhancing a database infrastructure that powers advanced analytics, AI-driven decision-making, and autonomous data operations. You work across the organization, supporting and collaborating with our product teams, engineers, data scientists, and data analysts. In this context, you enhance and support our company’s cloud data architecture to support our products and data initiatives, for external clients as well as internal users.

Responsibilities

Core Data Infrastructure 

• Design and implement scalable ETL/ELT workflows that support both batch and streaming data using AWS primitives (e.g., S3, Kinesis, Glue, Redshift, Athena) 
• Architect and maintain cloud-native data platforms with automated ingestion, transformation, and governance pipelines using modern tools like DBT, Apache Spark, Delta Lake, Airflow, and Databricks 
• Work with stakeholders, including the Product, BI, and Support teams, to assist with data-related technical challenges and support their data and infrastructure needs.
• Collaborate with cross-functional Engineering teams using analytics to predict data needs and proactively deliver solutions. 
• Assist in the optimization of data lake/lakehouse infrastructure, to support AI workloads and large-scale analytics. 

Governance & Collaboration 

• Ensure data quality, lineage, and observability.
• Develop and enforce data governance policies, including compliance monitoring and privacy protection. 
• Partner with Data Scientists to optimize data pipelines for model training, inference, and continuous learning workflows. 

Advanced Data Operations 

• Build self-healing data pipelines with AI-driven error detection, root cause analysis, and automated remediation capabilities. 
• Implement intelligent data lineage tracking to automatically discover relationships between datasets and predict downstream impact of changes. 
• Create AI-assisted data discovery systems that help stakeholders find relevant datasets and understand data semantics through natural language interfaces. 
• Participate in on-call rotation, as needed.

AI-Enhanced Development

• Leverage AI coding assistants (GitHub Copilot, Cursor, etc.) to
• Accelerate development cycles, generate complex SQL queries, and automatically optimize data pipeline code. 
• Develop data quality monitoring, using anomaly detection and data profiling tools to identify issues, before they impact downstream systems. 
• Optimize pipeline orchestration, with ML to predict optimal scheduling, resource allocation, and failure recovery patterns.
• Generate and maintain living documentation that evolves with code changes. 

Leadership & Innovation 

• Participate in the full software development lifecycle, including both manual and AI-assisted requirements gathering, automated testing, and intelligent deployment strategies. 
• Mentor junior engineers on both traditional data engineering practices and effective use of AI development tools. 
• Lead tool evaluation and adoption for the data engineering team, establishing best practices for human-AI collaboration. 
• Drive innovation in data architecture by experimenting with emerging technologies.

Qualifications 

Minimum Qualifications  

• 3+ years of experience in data engineering, including building and maintaining large-scale data pipelines
• Extensive experience in SQL RDBMS (SQLServer or similar) with dimensional modeling using star schema, and foundational data warehousing concepts
• Hands-on experience with AWS services such as Redshift, Athena, S3, Kinesis, Lambda, Glue 
• Experience with DBT, Databricks or similar data platform tooling
• Experience working with structured and unstructured data and implementing data quality frameworks
• Excellent communication and collaboration skills 
• Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, or similar), with understanding of prompt engineering, to enhance development productivity 
• Understanding of AI/ML concepts and data requirements, including feature stores, model versioning, and real-time inference pipelines

Preferred Qualifications 

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Experience in a SaaS or e-commerce environment with AI/ML products
• Knowledge of stream processing frameworks like Kafka, Flink, or Spark Structured Streaming 
• Familiarity with LLMOps and AI model deployment patterns in data infrastructure 
• Experience with AI-powered data tools such as automated data catalogs, intelligent monitoring systems, or AI-assisted query optimization
• Proven ability to thrive in a fast-paced, agile environment with shifting priorities and emerging technologies
• Experience with containerization and orchestration tools like Docker and Kubernetes 

Travel Required

Up to 10%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

Benefits 

• Medical, Dental and Psychology benefits 
• Life insurance and disability benefits
• Competitive time off package with 25 Days of PTO, 8 Company-paid Holidays, 5 paid floating holidays (new in 2026!), 2 Wellness days and 1 Paid Volunteer Day 
• Voucher program for Transportation, Meals & Childcare 
• Remote Working Stipend: €40/month automatically applied in payroll
• Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program 
• Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career. 
• Charitable contribution match per team member 

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

Role & Team

As a Data Engineering Manager, you will lead across several cross-functional teams, managing up to ~10 data engineers and GIS specialists. You will support teams working on data processing and pipelines to enable ML-powered product capabilities.

Our product teams are cross functional and will typically include product managers, designers, engineers and subject matter experts relating to the team’s domain.

You will be accountable for the technical direction and delivery outcomes of your area. You will challenge your teams to pursue ambitious goals while providing a high level of support — growing engineering talent and fostering a highly collaborative, team-based environment where people can do great work.

Your primary focus will be on building high-performing teams and driving results through others. You will not be expected to spend significant time doing hands-on coding; however, you will be expected to dive deep technically when required and leverage your experience to support strong technical decision-making.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do

• Enable our data engineers to become highly productive members of their cross-functional teams, empowering them to ship high-quality, reliable data platforms and pipelines on a daily basis.
• Grow the teams by attracting great talent from your network.
• Foster an inclusive and caring culture where everyone can do their best work.
• Provide regular 1:1 coaching and feedback to tap into the potential of all your team members and help them thrive and reach their aspirations.
• Be a strategic partner to product managers, machine learning engineers, and other stakeholders within your domains and ensure that we are making the correct data architecture and platform decisions that balance short and long term goals.
• Ensure suitability of the data architecture, pipelines, and data models within your domains to enable longer term product, analytics, and machine learning goals.
• Work closely with the other Product & Engineering leaders on strategy, technology and people, including improving our data engineering practices and introducing capabilities that can accelerate data access, reliability, and unlock new product and data-driven opportunities

Skills & Experience

• Experience working in a high growth scaleup environment
• Passionate about climate
• Product minded and able to demonstrate significant impact you have had on a business through the application of data platforms and data-driven systems
• 2+ years experience leading and managing data engineers across multiple teams
• Experience working with the following (or similar) technologies: Python, SQL, data pipeline orchestration tools (e.g., Airflow, Dagster), data warehouses/lakehouses, Postgres DB, data pipelines
• Ability to unblock your team by contributing at a senior engineering level (e.g., reviewing data models, debugging pipelines, guiding architecture). How hands-on you'll be in this role will depend on team size and maturity
• Comfortable working in a build it, run it environment (GCP, cloud run, grafana, k8s) - or similar, with an understanding of data reliability, observability, and pipeline operations
• Strong leadership skills with the ability to mentor and coach engineers at all levels
• Excellent communication skills and ability to collaborate effectively in a cross-functional team environment
• Passion for learning and staying updated with evolving technologies and industry trends, particularly in data engineering and data infrastructure

Nice To Have

• Experience working with maps/imagery/geospatial domains  

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

Role & Team

As a Senior Engineer, you will have a direct impact on the development of core geospatial products and internal data-processing and annotation tools at Overstory. 

Your breadth of skills will allow you to set a technical vision for the development of the web applications, ETL pipelines, and backend services owned by these teams.

You’ll partner with product managers, external resources, and your team members to execute this vision.

Time zone requirement: Europe (GMT/WET, CET, EET) and North America (NST, AST, EST, CST, MST, PST)

What You’ll Do

• Explore best practices to combine coding agents with software craftsmanship and teach other engineers these practices
• Optimize the orchestration of several object detection and image alignment models
• Design and maintain robust data and feature pipelines for millions of geospatial entities
• Contribute to the technical vision for the development of our internal annotation and QA web applications
• Work closely with your Product Manager to discover and propose new products to solve use cases such as anticipating the impact of an outage at a particular locatio

Skills & Experience

• 5+ years of experience as a senior software engineer 
• Skilled in designing ETL pipelines with near-real-time orchestration, in Python.
• Strong background building and maintaining scalable web-applications with React, FastAPI, PostgreSQL
• Experience with XP practices such as TDD or trunk based development. The team would be new to these practices
• Strong communication skills and ability to explain complex technical concepts to various audience

Nice To Have

• Experience with the Geospatial ecosystem such as PostGIS, Geopandas or Deck.GL
• Experience with Dagster, Airflow or similar orchestration frameworks
• Experience with building web-applications tailored for repeatable human or agentic workflows
• Experience working in B2B, in particular with electrical utilities

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

What's the opportunity? 

The Research, Analytics & Data Science (RAD) team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into GTM workflows.

AI has unlocked an entirely new generation of internal tools for our GTM teams. We’re evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations.

The RAD team partners closely with GTM Systems to define problems, solutions, and measure impact - from prototype to production.

This is a high-ownership role for someone who thrives in ambiguity, is energized by solving complex real-world problems, and is motivated by seeing their work translate into tangible business impact.

What will I be doing? 

• Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups.
• Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends.
• Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact.
• Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion).
• Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams.

What skills do I need? 

• Proven track record of applied data science with measurable GTM impact - you’ve shipped models or tools that moved metrics like conversion, cycle time, or retention.
• LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development.
• Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems.
• Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows.
• Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders.
• Collaborative product mindset - comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables.

Benefits 

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

• Competitive salary and equity in a fast-growing start-up
• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated. 
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Open vacation policy and flexible holidays so you can take time off when you need it
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

#LI-Hybrid

What's the opportunity? 

The Research, Analytics & Data Science (RAD) team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into GTM workflows.

AI has unlocked an entirely new generation of internal tools for our GTM teams. We’re evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations.

The RAD team partners closely with GTM Systems to define problems, solutions, and measure impact - from prototype to production.

This is a high-ownership role for someone who thrives in ambiguity, is energized by solving complex real-world problems, and is motivated by seeing their work translate into tangible business impact.

What will I be doing? 

• Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups.
• Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends.
• Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact.
• Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion).
• Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams.

What skills do I need? 

• Proven track record of applied data science with measurable GTM impact - you’ve shipped models or tools that moved metrics like conversion, cycle time, or retention.
• LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development.
• Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems.
• Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows.
• Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders.
• Collaborative product mindset - comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables.

Benefits 

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

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Open vacation policy and flexible holidays so you can take time off when you need it
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

#LI-Hybrid

What's the opportunity? 

The Research, Analytics & Data Science (RAD) team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into GTM workflows.

AI has unlocked an entirely new generation of internal tools for our GTM teams. We’re evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations.

The RAD team partners closely with GTM Systems to define problems, solutions, and measure impact - from prototype to production.

This is a high-ownership role for someone who thrives in ambiguity, is energized by solving complex real-world problems, and is motivated by seeing their work translate into tangible business impact.

What will I be doing? 

• Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups.
• Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends.
• Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact.
• Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion).
• Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams.

What skills do I need? 

• Proven track record of applied data science with measurable GTM impact - you’ve shipped models or tools that moved metrics like conversion, cycle time, or retention.
• LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development.
• Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems.
• Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows.
• Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders.
• Collaborative product mindset - comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables.

Benefits 

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

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Open vacation policy and flexible holidays so you can take time off when you need it
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

#LI-Hybrid

What is the opportunity?

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

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

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

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

What will I be doing?

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

About You

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

Nice to haves

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

Benefits 

#LI-Hybrid

What is the opportunity?

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

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

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

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

What will I be doing?

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

About You

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

Nice to haves

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

Benefits 

#LI-Hybrid

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