Experience Requirements:

• 2-6 years of experience

Experience Requirements:

• 3-6 years of experience

Experience Requirements:

• 0-2 years of experience

Experience Requirements:

• 2-5 years of experience

Education Requirements:

• MSc in a quantitative field (Computer Science. Statistics, Software\Information System Engineering or similar), specializing in Machine Learning

Experience Requirements:

• 2+ years of working experience as a data scientist

• Hands-on experience with Python development

• Strong knowledge with SQL/NoSQL databases

• Experience in deploying ML algorithms to production environments

• Deep understanding of machine learning models and statistical inference

Other Requirements:

• Great communication and interpersonal skills

Responsibilities:

• Be part of a data-science team where you will lead end-to-end ML projects. (from business understanding through data exploration, research, algorithm development, evaluation, optimization & A/B testing to model deployment)

• Take part in developing new cutting-edge algorithms based on various ML techniques

• Improve our ML pipeline

• Work in a short life-cycle research and development environment, while continually adjusting algorithms according to A/B testing feedback

• Work closely with the Product, Customer Success, BI, Dev and DevOps teams

Education Requirements:

• Bachelor's degree

Experience Requirements:

• More than 6 months of experience

• Zoho experience a huge plus

Other Requirements:

• Must be located in Ile de France

• Achieve monthly quotas of qualified opportunities

• Good written/verbal communication skills in English and French are required

• Fluent in German (required)

• Strong problem-solving skills

• Highly motivated, driven and self-starting individual

• Ability to work in a fast paced, team environment

• Ability to understand customer needs and meet that need with a successful product sale

• Excellent time management/organizational skills

Responsibilities:

• Help create and prioritize strategic target account lists within a defined territory (DACH - BeLux)

• Prospect, identify, initiate, develop and nurture business relationships and opportunities in market/target accounts to generate new business opportunities

• Research and build new and existing accounts (e.g. adding contacts, emails, strategic calling)

• Target potential customers across the market

• Perform timely outbound calls and engage in other forms of communication (e.g. email etc.) to prospect new opportunities

Benefits:

• participation in the company’s annual cash bonus plan

• variable compensation (OTE) for sales and customer success roles

• equity

• sign-on payments

• comprehensive range of health, welfare, and wellbeing benefits

Experience Requirements:

• 8+ years sales experience

• 5+ years experience in SaaS or Martech sales in a new logo acquisition role

• Proven strategic pipeline management experience to ensure long term success

• Track record of using data to inform decision making

• Track record of working with leadership to define and implement successful new programs

Other Requirements:

• Ability to build relationships with internal and external stakeholders

• Energetic self-starter who is results-oriented and works effectively in an entrepreneurial environment

• Experience and interest in working with strategic accounts with multiple stakeholders

• Strategic mindset to define and execute sales strategies

• Proficiency with tools such as Salesforce, Outreach, and Gong

Responsibilities:

• Seek and qualify new opportunities across the Mid-Market segment

• Actively manage pipeline and develop a strategy for long-term sustained success

• Collaborate with cross functional team members in product, engineering, partnerships and customer success to improve cross-departmental efforts for upmarket clients

• Support the success of your peers

• Exhibit Klaviyo’s values of accountability and effort

Benefits:

• Open, supportive culture

• Transparent culture

• Continually learning culture

• Opportunity to work on ambitious, challenging, cutting-edge, large-scale AI projects

• Work in Platform94, a center for excellence in scaling technologies

Education Requirements:

• Bachelor R’s or Master R’s degree in Data Science, Computer Science, Statistics, Mathematics, Business Intelligence, or a related field

Experience Requirements:

• 2 to 5 years of experience in data science, business intelligence, or similar roles

• Proven experience in creating dashboards and data visualizations

Other Requirements:

• Valid authorisation to work in Ireland

Responsibilities:

• Apply statistical techniques and build predictive models to support business decisions

• Create compelling visualisations that translate data into actionable insights

• Develop algorithms for business to help in strategic decision-making

• Utilise modern tools and technologies to manage, analyse, and visualise data

Benefits:

• Supportive culture

• Transparent culture

• Collaborative culture

• Continuous learning and growth

• Work on ambitious, cutting-edge AI projects

Education Requirements:

• Bachelor R’s or Master R’s degree in Computer Science, a related technical field

• Equivalent experience demonstrated in the workplace

Experience Requirements:

• 2 to 5 years of work experience in software development

• Proficiency in JavaScript and Node.js application development

• Experience with one or more frontend frameworks: Vue.js, Angular.js, or React.js

• Knowledge of mobile application frameworks such as PhoneGap, Xamarin, or Ionic

• Familiarity with programming languages like TypeScript, Python, or C#

Other Requirements:

• Valid authorisation to work in Ireland

Responsibilities:

• Develop applications using cutting-edge technologies and industry best practices

• Collaborate with stakeholders to define the scope for each iteration, ensuring timely delivery of working code

• Embrace test-driven development and pair programming to foster quality and innovation

• Use tools and practices that align with our agile community of practice

• Mentor junior developers, fostering a supportive and creative team culture

Benefits:

• Supportive culture

• Transparent culture

• Collaborative culture

• Creativity and innovation are celebrated

• Work in Platform94, a center for excellence in scaling technologies

Education Requirements:

• Bachelor R’s or Master R’s degree in UI/UX Design, Human-Computer Interaction, Graphic Design, Web Development, or a related field

• Equivalent experience demonstrated in the workplace

Experience Requirements:

• Two to five years of professional experience in UI/UX design, web design, or front-end development

• A strong portfolio demonstrating expertise in UI/UX design and showcasing successful projects

Other Requirements:

• Valid authorisation to work in Ireland

Responsibilities:

• Research and understand user needs, behaviours, and motivations through user interviews, surveys, and data analysis

• Design and prototype user-centric interfaces using tools like Adobe XD and Figma

• Develop and maintain visually appealing and functional websites, including WordPress-based projects

• Create wireframes, mockups, and high-fidelity prototypes to visualise and communicate design concepts

• Utilise HTML, CSS, PHP, and JavaScript to implement and customise designs

Benefits:

• Medical, Dental & Vision Insurance

• Flexible Time Off Program

• Paid Holidays

• Paid Parental Leave

• Global Employee Assistance Program (EAP)

Education Requirements:

• BA/BS required, preferably in a technical field

Experience Requirements:

• 2-4+ years in a customer success, account management, or project management role preferably in a product-driven environment

• Experience in Analytics or in technical disciplines is a plus

Other Requirements:

• Strong organizational and project management capabilities

• Excellent communication and presentation skills with keen attention to detail

• Strong orientation towards teaching and enablement

• Data-driven, analytically oriented, with a commitment to process improvement

• Reliable and accountable, delighting customers with above-and-beyond follow-through

Responsibilities:

• Serve as the primary point of contact for your portfolio of existing customers

• Understand the customer’s business and desired outcomes to achieve success that secures long-term renewals

• Build strong relationships with economic buyers, business champions, and technical champions

• Manage delivery of the customer’s initial onboarding program

• Maintain a regular communication cadence with the client, including quarterly business reviews

Experience Requirements:

• Experience in the field of digital advertising, marketing, and engaging with audiences across digital platforms.

Responsibilities:

• Help lead innovative campaigns and drive online success.

Education Requirements:

• Bachelor’s degree in Engineering, Computer Science, Information Technology, or a related field.

Experience Requirements:

• Strong experience in Snowflake, including designing, implementing, and optimizing Snowflake-based solutions.

• Hands-on expertise in PLSQL, including writing and optimizing complex queries, stored procedures, and functions.

• Proven ability to work with large datasets, data warehousing concepts, and cloud-based data management.

• Proficiency in SQL, data modeling, and database performance tuning.

• Experience with ETL/ELT processes and integrating data from multiple sources.

Other Requirements:

• Familiarity with cloud platforms such as AWS, Azure, or GCP is an added advantage.

• Snowflake certifications (e.g., SnowPro Core, SnowPro Advanced) are a plus.

• Strong analytical skills, problem-solving abilities, and attention to detail.

• Excellent communication skills and ability to work effectively in a collaborative environment.

Responsibilities:

• Design, develop, and maintain data pipelines in Snowflake to support business analytics and reporting.

• Write optimized PLSQL queries, stored procedures, and scripts for efficient data processing and transformation.

• Integrate and manage data from various structured and unstructured sources into the Snowflake data platform.

• Optimize Snowflake performance by tuning queries, managing workloads, and implementing best practices.

• Collaborate with data architects, analysts, and business teams to develop scalable and high-performing data solutions.

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field.

Experience Requirements:

• 6+ years of experience in data architecture, data engineering, or a related field.

• Extensive experience with Snowflake, including designing and implementing Snowflake-based solutions.

• Must have exposure working in Airflow

• Proven track record of contributing to data projects and working in complex environments.

Other Requirements:

• Familiarity with cloud platforms (e.g., AWS, GCP) and their data services.

• Snowflake certification (e.g., SnowPro Core, SnowPro Advanced) is a plus.

Responsibilities:

• Design and implement scalable, efficient, and secure Snowflake solutions to meet business requirements.

• Develop data architecture frameworks, standards, and principles, including modeling, metadata, security, and reference data.

• Implement Snowflake-based data warehouses, data lakes, and data integration solutions.

• Manage data ingestion, transformation, and loading processes to ensure data quality and performance.

• Collaborate with business stakeholders and IT teams to develop data strategies and ensure alignment with business goals.

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field.

Experience Requirements:

• 4+ years of experience in data architecture, data engineering, or a related field.

• Extensive experience with Snowflake, including designing and implementing Snowflake-based solutions.

• Must be strong in SQL

• Proven track record of contributing to data projects and working in complex environments.

Other Requirements:

• Familiarity with cloud platforms (e.g., AWS, GCP) and their data services.

• Snowflake certification (e.g., SnowPro Core, SnowPro Advanced) is a plus.

Responsibilities:

• Design and implement scalable, efficient, and secure Snowflake solutions to meet business requirements.

• Develop data architecture frameworks, standards, and principles, including modeling, metadata, security, and reference data.

• Implement Snowflake-based data warehouses, data lakes, and data integration solutions.

• Manage data ingestion, transformation, and loading processes to ensure data quality and performance.

• Collaborate with business stakeholders and IT teams to develop data strategies and ensure alignment with business goals.

Education Requirements:

• Bachelor’s or master’s degree in computer science, Information Technology, Data Science, or a related field.

Experience Requirements:

• aleast 4 years of hands-on experience in designing and developing scalable data solutions using the Snowflake Data Cloud platform

• 1+ years of experience with Alteryx Designer, including advanced workflow development and debugging.

• Strong proficiency in SQL, with 3+ years specifically working with Snowflake or other cloud data warehouses.

• Python programming experience focused on data engineering.

• Experience with data APIs, batch/stream processing.

Other Requirements:

• Solid understanding of data transformation logic like joins, unions, filters, formulas, aggregations, pivots, and transpositions.

• Experience in performance tuning and optimization of SQL queries in Snowflake.

• Familiarity with Snowflake features like CTEs, Window Functions, Tasks, Streams, Stages, and External Tables.

• Exposure to migration or modernization projects from ETL tools (like Alteryx/Informatica) to SQL-based cloud platforms.

• Strong documentation skills and attention to detail.

• Experience working in Agile/Scrum development environments.

• Good communication and collaboration skills.

Responsibilities:

• Analyze and interpret complex Alteryx workflows to identify data sources, transformations, joins, filters, aggregations, and output steps.

• Document the logical flow of each Alteryx workflow, including inputs, business logic, and outputs.

• Translate Alteryx logic into equivalent SQL scripts optimized for Snowflake, ensuring accuracy and performance.

• Write advanced SQL queries, stored procedures, and use Snowflake-specific features like Streams, Tasks, Cloning, Time Travel, and Zero-Copy Cloning.

• Implement data ingestion strategies using Snowpipe, stages, and external tables.

Education Requirements:

• Bachelor’s or master’s degree in computer science, Information Technology, Data Science, or a related field.

Experience Requirements:

• minimum 4 years of relevant experience

Other Requirements:

• Proficient in Python with hands-on experience building ETL pipelines for data extraction, transformation, and validation.

• Strong SQL skills for working with structured data.

• Familiar with Grafana or Kibana for data visualization and monitoring/dashboards.

• Experience with databases such as MongoDB, Elasticsearch, and MySQL.

• Comfortable working in Linux environments using common Unix tools.

• Hands-on experience with Git, Docker and virtual machines.

Benefits:

• Health and Wellness: Healthcare policy covering your family and parents.

• Food: Enjoy scrumptious buffet lunch at the office every day.

• Professional Development: Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs.

• Rewards and Recognitions: Recognition and rewards programs in place to celebrate your achievements and contributions.

Education Requirements:

• Bachelor’s/Master’s in Computer Science or related field.

Experience Requirements:

• 2+ Years

• Hands-on experience with time series forecasting and clustering.

Other Requirements:

• Proficient in Python, R, and relevant ML tools

Responsibilities:

• Time Series Forecasting: Build models to predict trends from time series data.

• Clustering: Develop algorithms to group and analyze data segments.

• Data Insights: Analyze data to enhance model performance.

• Team Collaboration: Work with teams to integrate models into products.

• Stay Updated: Apply the latest AI techniques to improve solutions.