About the role:

As a Customer Account Executive, you will be responsible for retaining and expanding our commercial customer base and setting the continued groundwork for sales at dbt Labs. This role will be based in Dublin and will also be in office 4 days per week.

In this role, you can expect to:

• Own a portfolio of SMB and mid-market accounts with a dual focus: retention and growth
• Identify upsell and cross-sell opportunities and manage them through the full sales cycle
• Own the full sales cycle from lead to close for our customers
• Serve as the primary point of contact for your customers; understanding their goals and flagging risks early
• Help shape and iterate on the at-scale commercial motion; this is a new function and your input matters

You are a good fit if you:

• 2+ years of closing experience in technology sales, with a proven track record of exceeding annual targets
• Comfortable managing a high-volume book of business across SMB and mid-market accounts, with a retention and expansion quota
• Able to understand complex technical concepts and shape them into a consultative sale
• Have a passion for building and maintaining long term partnerships with your customer base 
• Excellent verbal, written, and in-person communication skills, you can engage anyone from an individual developer up to a CTO
• Organised and diligent to manage long, multi-threaded sales cycles across multiple stakeholder teams
• Comfortable operating in a fast-paced, ambiguous environment
• A collaborative teammate who cares about building an inclusive culture, not just hitting your number
• Experience with SQL or willingness to learn
• Based in Dublin and happy to be in the office 3-4 days per week

Compensation:

• Competitive Salary
• Equity Stake
• Benefits - dbt Labs offers:
  • • Unlimited vacation (and yes we use it!)
    • Pension Coverage
    • Excellent healthcare
    • Paid Parental Leave
    • Wellness stipend
    • Home office stipend, and more!

What to expect in the hiring process: 

• Interview with a Talent Acquisition Partner to align on the role and the skills and experiences we mutually value
• Interview with Hiring Manager
• Team Interviews (1:1s) with members of the Sales and Solutions Architecture team
• Project

#LI-LA1 #LI-Remote #LI-CA1

About the Role

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

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

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

Technologies You’ll Use

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

What You’ll Do

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

Skills We’re Looking For

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

Bonus Skills​

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

#LI-LA1
#LI-HYBRID

About the Role

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

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

This is a full-time position based out of London.

Technologies You’ll Use

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

What You’ll Do

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

Skills We’re Looking For

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

Bonus Skills​

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

#LI-LA1
#LI-Remote

About the role:

As a Customer Solutions Architect Manager, you will be a key player in helping us to scale our Customer Solutions Architect organization and define the strategy and processes that drive this team. Your primary responsibility is to lead our EMEA Customer Solution Architects (CSAs) in Dublin, focused on ensuring our customers are maximizing the value they receive from dbt platform to drive customer retention and expansion. In this role, you will work closely with the Revenue and Solution Architecture teams to execute a regional strategy and work with the global CSA org to develop processes that enhance customer adoption, and ensure seamless collaboration across teams, including Support, Product, Engineering, and Sales. You will play a key role in managing customer escalations, driving continuous improvements, and cultivating a high-performance team culture.

The CSA organization is still relatively new at dbt Labs, so this role is a combination of leading and scaling the existing team, while also helping to build and scale the CSA organization and operating model. We strive to maintain global consistency in processes and standards, while allowing for regional differences as required, and you will be a key member of the leadership team in defining these motions. We are hiring for this role because the team has hit a scale where we will benefit greatly from having an in region leader.

This is a hybrid role with an expectation to be in the office 3 days a week, along with other members of the GTM organization in Dublin.

In this role, you can expect to:

• Lead and manage the regional Customer Solutions Architects, which is currently 5 members
• Collaborate with the Global Head of Customer Solutions Architects to drive and execute a global strategy for CSA operations, ensuring a metrics-driven and solution-oriented approach
• Build and scale the team thoughtfully: own recruiting, ramping, and retaining top CSA talent in partnership with the Talent team
• Foster effective communication and collaboration between cross-functional teams, including Support, Product/Engineering, Sales, and Account Management teams
• Ensure proactive and high-quality ticket and incident management, addressing critical customer escalations and managing stakeholder expectations
• Collect and analyze support metrics to identify areas for improvement and to inform strategic decision-making in market
• Maintain regular reporting on team performance, customer trends, upcoming renewals, and support issues
• Build and maintain strong relationships with customers, ensuring satisfaction through regular communication and implementation of corrective actions when necessary

You are a good fit if you have:

• 4 to 6 years of technical leadership experience, ideally in a SaaS or Data Analytics environment
• Experience leading technical teams focused on the customer journey, such as Technical Account Management, Customer Support Engineering, or Solutions Architecture or experience leading CSM teams in a technical environment
• Proven track record in scaling and operationalizing technical customer success or technical account management
• Direct experience with recruitment, interviewing, and decision-making in the hiring process
• Excellent communication skills, both written and oral, with the ability to collaborate across multiple teams
• Enthusiasm for working directly with customers and building world-class post sales teams
• Strong problem-solving skills with a solution-oriented mindset and experience handling conflict with professionalism and grace

You'll have an edge if you have:

• A proven track record of building and leading Technical Support or Field Engineering teams in SaaS, infrastructure, or platform businesses.
• Experience developing and promoting best practices for customer post sales journeys.
• Have experience with ancillary tools, managing data infrastructure, APIs, etc

What to expect in the hiring process (all video interviews unless accommodations are needed):

1. Interview with Talent Acquisition Partner
2. Interview with Hiring Manager
3. Team Interviews
4. Leader Challenge 
5. Interview with the Global VP of Solutions Architecture

We're looking for a high-impact, results-driven Marketing Analytics Manager to turn marketing data into decisions that drive pipeline and revenue. In this role, this person will be responsible for partnering closely with marketing leadership, delivering analytical insights for pipeline growth, with a primary focus on the EMEA region. You'll partner closely with Marketing, Sales, and Data teams to translate strategic vision into high-performing, measurable systems.

What You'll Do 

• Serve as the dedicated Marketing Operations business partner for EMEA field and revenue marketing teams, owning MBR and pipeline reporting, regional planning, strategic projects and run the business management
• Partner with Marketing, Data and Sales Operations teams to utilize AI to drive optimization, productivity, and cost savings
• Streamline and optimize marketing processes — including campaign creation and audience segmentation
• Partner closely with SDR and Sales leaders to support lead funnel management and routing, lead processing, SLA management and lead scoring and qualification frameworks
• Partner with data analysts to define KPI logic and data requirements, with a strong understanding of how Salesforce data feeds into BI tools and how underlying data models are structured
• Act as the regional point of contact for marketing operations, conducting ad hoc requests and reporting, including funnel conversion deep-dives, source attribution audits, pipeline forecasting and campaign performance analysis
• Work closely with the AMER-based Marketing Operations team to ensure consistency in processes, tooling and reporting standards across regions

What You'll Have

• 6+ years of demonstrated experience in Marketing Operations, Revenue Operations, or Marketing Analytics within a high-growth SaaS environment
• Hands-on, expert-level experience with Salesforce and HubSpot
• Advanced Excel / Google Sheets skills for building sophisticated data models, planning frameworks, and analyses directly in spreadsheets
• Familiarity with BI visualization tools (e.g., Omni, Tableau, Looker, Power BI) and a solid understanding of how data models, table joins, and source systems like Salesforce feed into reporting layers
• Proven experience owning lead funnel management, including routing logic, SLA frameworks, and scoring models in partnership with SDR and Sales leadership
• Strong analytical mindset with the ability to independently investigate funnel anomalies, attribution discrepancies, and pipeline variances and translate findings into clear recommendations
• Exceptional communication skills, with the ability to present data-driven insights to both marketing and sales leadership
• Highly organized and process-driven, with the ability to manage multiple regional stakeholders and competing priorities simultaneously
• Familiarity with tools like Clay and Qualified is a plus
• Working knowledge of SQL and Python is a plus — able to write queries to investigate data issues and pull ad hoc analysis independently

Compensation

We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process. 

The typical starting salary range for this role is:
€136,000 - €180,000 

Benefits

• Unlimited vacation, with a culture that encourages time off and guarantees at least 4 weeks’ paid leave in line with Irish law
• Healthcare: Coverage provided through Irish Life Health and DeCare, including medical, dental, and vision for you and your eligible dependents
• Life & Disability Protection: Long-term disability and death-in-service benefits included
• Pension: Employer contributions through our Personal Retirement Savings Program (PRSA)
• Generous paid parental leave for all parents, with additional time for birthing parents
• TaxSaver & Bike to Work Schemes for commuting flexibility and savings
• Paid medical, caregiver, and pregnancy loss leave to support life’s unexpected moments
• Flexible stipends for:
  • Health & wellness
  • Cellphone & internet
  • Home office setup
  • Learning & development

What to expect in the hiring process (all video interviews unless accommodations are needed):

1. 1. Interview with Talent Acquisition Partner
   2. Interview with Hiring Manager
   3. Team Interviews
   4. Team Interviews

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

Senior Analytics Engineer 

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

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

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

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

What is the opportunity?

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

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

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

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

What will I be doing?

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

About You

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

Nice to haves

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

#LI-Hybrid

What'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'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

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:

1. Ingestion & Aggregation: Designing and building low-latency, data pipelines to ingest, combine, and aggregate customer data from multiple internal and external sources.
2. Insight Generation: Leverage the aggregated data to develop advanced analytics and create comprehensive customer insights.
3. Compliance & Security: Ensuring all data infrastructure, pipelines, and storage follows strict security standards and regulatory compliance requirements.
4. 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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