Airflow Jobs in Dublin.
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About Telnyx
Telnyx is an industry leader that's not just imagining the future of global connectivity—we're building it. From architecting and amplifying the reach of a private, global, multi-cloud IP network, to bringing hyperlocal edge technology right to your fingertips through intuitive APIs, we're shaping a new era of seamless interconnection between people, devices, and applications.
We're driven by a desire to transform and modernize what's antiquated, automate the manual, and solve real-world problems through innovative connectivity solutions. As a testament to our success, we're proud to stand as a financially stable and profitable company. Our robust profitability allows us not only to invest in pioneering technologies but also to foster an environment of continuous learning and growth for our team.
Our collective vision is a world where borderless connectivity fuels limitless innovation. By joining us, you can be part of laying the foundations for this interconnected future. We're currently seeking passionate individuals who are excited about the opportunity to contribute to an industry-shaping company while growing their own skills and careers.
About Telnyx
Telnyx is an industry leader that's not just imagining the future of global connectivity—we're building it. From architecting and amplifying the reach of a private, global, multi-cloud IP network, to bringing hyperlocal edge technology right to your fingertips through intuitive APIs, we're shaping a new era of seamless interconnection between people, devices, and applications.
We're driven by a desire to transform and modernize what's antiquated, automate the manual, and solve real-world problems through innovative connectivity solutions. As a testament to our success, we're proud to stand as a financially stable and profitable company. Our robust profitability allows us not only to invest in pioneering technologies but also to foster an environment of continuous learning and growth for our team.
Our collective vision is a world where borderless connectivity fuels limitless innovation. By joining us, you can be part of laying the foundations for this interconnected future. We're currently seeking passionate individuals who are excited about the opportunity to contribute to an industry-shaping company while growing their own skills and careers.
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
Ready to apply?
Apply to Telnyx
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
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, annual bonus and equity
- Regular compensation reviews - we reward great work!
- Generous paid time off above statutory minimum
- Hybrid working
- MacBooks are our standard, but we also offer Windows for certain roles when needed.
- Fun events for employees, friends, and family!
#LI-Hybrid
Policies
Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.
Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
Ready to apply?
Apply to Intercom
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
Benefits
- 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!
- Pension scheme & match up to 4%
- Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
- Flexible paid time off policy
- Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
- If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
- MacBooks are our standard, but we also offer Windows for certain roles when needed.
#LI-Hybrid
Policies
Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.
Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
Ready to apply?
Apply to Intercom
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.
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
Policies
Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.
Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
Ready to apply?
Apply to Intercom
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'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
Policies
Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.
Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
Ready to apply?
Apply to Intercom
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'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
Policies
Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.
Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
Ready to apply?
Apply to Intercom
Senior Data Scientist - AI Tooling
Share this job
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'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
Policies
Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.
Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
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Software Engineer, Java - CRM Data
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Our Client Engagement Group helps Squarespace users grow their businesses by allowing them to create, target, and automate marketing campaigns. We power one-time email sends, automated messages triggered by customer actions, and audience segmentation, helping users deliver the right message to the right people at the right time.
We're looking for engineers to help build the systems behind campaign creation, audience management, segmentation, and automation. You'll collaborate with product managers, designers, and other engineers to deliver reliable and intuitive features that help our users engage their audiences.
We are directly responsible for the full lifecycle of customer data, which includes:
- Ingestion & Aggregation: Designing and building low-latency, data pipelines to ingest, combine, and aggregate customer data from multiple internal and external sources.
- Insight Generation: Leverage the aggregated data to develop advanced analytics and create comprehensive customer insights.
- Compliance & Security: Ensuring all data infrastructure, pipelines, and storage follows strict security standards and regulatory compliance requirements.
- Distribution & Access: Building and maintaining high-performance APIs to distribute these insights, powering the CRM frontends, internal reporting, and ultimately enabling data-driven decision-making for our customers.
This is a hybrid role based in our Dublin office. You'll report to the Engineering Team Manager and partner with a collaborative, high-performing team.
You'll Get To…
- Build: Low-latency, robust data pipelines to ingest, combine, and aggregate customer data from multiple internal and external sources, processing millions of data points every day.
- Collaborate: Work with product managers to translate our goals into features that deliver value for our users.
- Plan: Contribute to architecture discussions and design reviews, helping define how backend systems are built.
- Own: Oversee features throughout the development lifecycle, from implementation to launch and maintenance.
Who We're Looking For
- 3+ years of experience building backend systems in a production environment.
- Proficiency in Java, or another object-oriented programming language.
- Experience with system design, algorithms, and distributed systems concepts.
- Experience with databases (Postgres, MongoDB, or similar)Mentoring less experienced engineers.
- Experience with data pipeline orchestration (DBT, AirFlow).
- Experience with data management, data modeling, and data strategy.
- Experience with data compliance and security
Benefits & Perks
- Health insurance with 100% covered premiums for you, your spouse or partner and your dependent children including medical, dental, and vision
- Life and Income Protection
- Fertility and adoption benefits
- Headspace mindfulness app subscription
- Global Employee Assistance Program
- Pension benefits with employer match
- Flexible paid time off
- 26 weeks paid maternity leave & 12 weeks paid paternity leave
- 2 weeks paid family care leave
- Education reimbursement
- Employee donation match to community organizations
- 7 Global Employee Resource Groups (ERGs)
- Free lunch and snacks
- Close proximity to cultural landmarks such as Dublin Castle and St. Patrick's Cathedral
About Squarespace
Squarespace is a design-driven platform helping entrepreneurs build brands and businesses online. We empower millions of customers in more than 200 countries and territories with all the tools they need to create an online presence, build an audience, monetize, and scale their business. Our suite of products range from websites, domains, ecommerce, and marketing tools, as well as tools for scheduling with Acuity and creating and managing social media presence with Bio Sites and Unfold. Our team of more than 1,700 is headquartered in New York City, with offices in Dublin, Ireland, and Aveiro, Portugal. For more information about our company, visit https://www.squarespace.com/about/careers.
Our Commitment
Today, more than a million people around the globe use Squarespace to share different perspectives and experiences with the world. Not only do we embrace and celebrate the diversity of our customers, but we also work toward the same in our employees. At Squarespace, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace.
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