Senior Machine Learning Engineer, Optimisation (Gurobi)

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

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

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

What You’ll Do

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

Build decision systems that:

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

You Bring:

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

Preferred Qualifications:

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

Engineering Manager, Machine Learning

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

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

What You’ll Do

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

Build a high-performing, inclusive team by:

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

Improve large-scale optimisation systems that:

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

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

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

Ensure systems are explainable, trustworthy, and actionable by:

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

You Bring:

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

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

Preferred Qualifications:

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

Cloud Data Architect

BearingPoint Ireland has an exciting opportunity for an experienced Cloud Data Architect to join our growing Data Analytics & AI team. We are working with a wide range of clients, on a number of complex projects that are transforming the way business is being done in Ireland

Applicants should have the following skills / experience:

• Minimum of 5 years’ experience as a data architect, working in both “on-prem” environment and Cloud environment, especially Microsoft and AWS technologies
• Advanced data modelling and architecture skills
• Proven experience with data integration tools such as SSIS, ADF, Kafka, Talend
• Proven ability to write automated scripts using PowerShell, SQL
• Good communication and language skills in the English language (presenting, documenting, workshopping)
• Experience managing stakeholders in a complicated environment
• Experience in the configuration and setup of database environments
• Experience of database design from an online, batch and reporting perspective
• 3rd level degree in IT related discipline

In addition to the above, the following skills / knowledge will be beneficial:

• Experience working with Power BI in a Fabric or Synapse Analytics environment.
• Experience with other analytics delivery platforms, such as Databricks, Spark, Snowflake. Redshift. etc.
• Knowledge of machine learning frameworks and AI tools.
• Knowledge of software delivery practices, modern delivery methodologies (incl. Agile) – i.e. the ability to understand how a delivery project works and the constraints that they are working in
• Experience with data governance frameworks and data security policies.
• Performance optimization of cloud data solutions.

About Tripadvisor  

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

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

Job Location: Remote/Hybrid

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

What You’ll Do

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

Skills & Experience

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

Nice-to-have:

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

What We Offer:

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

Our Cultural Pillars:

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

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

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

#LI-SM1

#LI-Remote

About the Role

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

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

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

What You'll Do

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

Skills We're Looking For

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

#LI-NR1
#LI-HYBRID

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

Your Role:

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

Your Opportunity:

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

What You'll Need:

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

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

#LI-AV1

#LI-Hybrid

About the 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

What is the opportunity?

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

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

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

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

What will I be doing?

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

About You

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

Nice to haves

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

Benefits 

#LI-Hybrid

Senior Analytics Engineer 

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

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

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

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

What is the opportunity?

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

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

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

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

What will I be doing?

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

About You

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

Nice to haves

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

#LI-Hybrid

What is the opportunity?

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

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

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

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

What will I be doing?

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

About You

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

Nice to haves

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

Benefits 

#LI-Hybrid