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๐Ÿ”ฅ Head of GTM Systems
Posted about 1 hour ago

๐Ÿ“ United States

๐Ÿงญ Full-Time

๐Ÿ” Data & AI Governance

๐Ÿข Company: Atlan

  • Deep expertise in SFDC and GTM process design
  • Experience managing GTM tools such as Salesforce, Outreach, Gong, HubSpot, ZoomInfo, Zendesk, and other revenue intelligence platforms
  • Understand data governance and analytics, with the ability to create dashboards and visualisations that drive decision-making.
  • Own and optimise Atlanโ€™s GTM tech stack, ensuring seamless integration and efficiency across sales, marketing, customer success, and post-sales operations.
  • Evaluate, implement, and manage new AI-driven GTM tools, scaling experiments and processes to drive revenue growth and team productivity.
  • Redesign processes with emerging technologies, blending deep SFDC expertise with curiosity and adaptability to future-proof our GTM strategy.
  • Collaborate cross-functionally with teams across Sales, Sales Enablement, Marketing, Customer Success, Finance, Legal, and HR to align technology and processes with business goals.
  • Lead end-to-end system implementations and enhancements, from hands-on configuration to strategic roadmap development.
  • Analyse data and provide actionable insights, ensuring data accuracy and process efficiency while identifying opportunities for automation and operational improvement.
  • Develop a scalable reporting infrastructure to enhance decision-making and optimize GTM execution.
  • Start as an individual contributor with the opportunity to build and lead a team over time.

LeadershipProject ManagementSQLBusiness IntelligenceData AnalysisETLSalesforceProduct OperationsCross-functional Team LeadershipBusiness OperationsAPI testingREST APISales experienceData visualizationCRMData modelingData management

Posted about 1 hour ago
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๐Ÿ“ India

๐Ÿงญ Full-Time

๐Ÿ” Software Development

๐Ÿข Company: Atlan

  • 8+ years of hands-on experience in backend development and building large-scale data pipelines.
  • Proven ability to ensure the scalability and reliability of complex systems.
  • Proficiency in Python and Kotlin.
  • Strong experience with Kubernetes and cloud platforms (AWS, Azure, or GCP).
  • Familiarity with workflow orchestration tools like Argo.
  • A track record of mentoring engineers and driving technical excellence.
  • Ability to lead customer interactions as a technical SME.
  • Experience with SaaS products and metadata management (preferred).
  • Take up end to end ownership of multiple enterprise connectors.
  • Design and implement high-level architecture for enterprise connectors.
  • Develop source-specific packages for crawling, mining, and migrating metadata from diverse data sources.
  • Own and lead Engineering Excellence for the business unit
  • Guide and mentor junior engineers, fostering a culture of technical excellence and continuous learning.
  • Act as a technical SME, unblocking customers and partners during onboarding.
  • Lead and mentor junior engineers and drive Engineering Excellence.
  • Deploy and manage packages on the Atlan Metadata Marketplace, ensuring reliability and seamless user experiences.
  • Drive innovation in connector development and improve developer productivity for Atlan users.

AWSBackend DevelopmentDockerLeadershipPythonSQLCloud ComputingData MiningDesign PatternsETLKafkaKotlinKubernetesSoftware ArchitectureAPI testingREST APICI/CDMentoringDevOpsData modelingSoftware EngineeringData managementSaaS

Posted about 2 hours ago
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๐Ÿ”ฅ Google Cloud Architect
Posted about 5 hours ago

๐Ÿ“ Canada

๐Ÿงญ Full-Time

๐Ÿ” AI & Data

๐Ÿข Company: Datatonic

  • Bachelorโ€™s or Masterโ€™s degree in Computer Science or a related technical discipline.
  • Hands-on experience in designing and implementing large-scale big data cloud architectures.
  • Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions.
  • Strong analytical skills with a focus on innovation and technical excellence.
  • Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals.
  • Skills in developing and maintaining relationships with key external stakeholders at various organisational levels.
  • Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals.
  • Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking.
  • Proficiency in working with container technologies and leveraging them effectively in projects.
  • Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code.
  • Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs.
  • Google Cloud Architect certification.
  • Experience with ETL tools and/or batch/streaming data pipelines such as Dataflow, Pub/Sub.
  • Experience with Google Cloud technologies such as Cloud Run, Cloud Functions, Cloud Scheduler, Workflow and Cloud Composer
  • Experience with Google Cloud Governance technologies such as Cloud Logging, Cloud Monitoring, IAM, Key Management Service and Artifact Registry.
  • Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers.
  • Contribute to the design and implementation of enterprise-scale Data and AI projects.
  • Introduce innovative ideas and approaches to enhance Datatonicโ€™s capabilities and methodologies.
  • Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements.
  • Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance.
  • Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders.
  • Define and embed best practices into project delivery, ensuring quality and consistency across initiatives.
  • Contribute to Datatonicโ€™s internal knowledge base, including technical collateral and thought leadership materials.
  • Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, and data engineers.
  • Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively.
  • Guide team members, fostering a culture of growth and innovation.

LeadershipProject ManagementPythonSQLAgileCloud ComputingData AnalysisETLGCPJavaKubernetesMachine LearningSoftware ArchitectureTableauData engineeringREST APICommunication SkillsAnalytical SkillsCollaborationProblem SolvingAgile methodologiesMentoringWritten communicationSales experienceData visualizationStakeholder managementData modeling

Posted about 5 hours ago
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๐Ÿ”ฅ Associate Data Engineer
Posted about 6 hours ago

๐Ÿ“ USA

๐Ÿงญ Full-Time

๐Ÿ” Digital Media Agency

๐Ÿข Company: Spring & Bond๐Ÿ‘ฅ 11-50Digital MarketingAdvertisingDigital MediaConsulting

  • 1+ years of experience in a data engineering or related role.
  • Strong SQL skills, including the ability to write complex queries using JOINs and aggregate functions.
  • Proficiency in Python and data manipulation libraries such as Pandas.
  • Experience with data validation techniques and tools.
  • Familiarity with AWS cloud services, particularly S3 and Lambda.
  • Experience with Git for code version control.
  • Detail-oriented with a focus on data accuracy and quality.
  • Organized with a systematic approach to managing data workflows.
  • Comfortable working in an ambiguous environment and able to independently drive projects forward.
  • Nimble and able to adapt to changing priorities.
  • Design, develop, and maintain ETL pipelines to ingest and transform data from various sources.
  • Implement data validation processes to ensure data accuracy and consistency throughout the data lifecycle, using tools like Regex.
  • Write and optimize SQL queries for data extraction, aggregation, and analysis.
  • Develop and maintain Python scripts and Pandas dataframes for data manipulation and analysis.
  • Utilize AWS Lambda functions to automate data processing tasks.
  • Manage code using Git for version control and collaborative development.
  • Collaborate with data analysts, media strategists, and other stakeholders to understand their data requirements and provide solutions.
  • Communicate technical concepts to non-technical stakeholders and translate business needs into technical specifications.
  • Troubleshoot and resolve data-related issues, identifying areas for improvement and efficiency gains.
  • Document data processes, pipelines, and transformations for knowledge sharing and maintainability.
  • Work with vendors to ensure seamless data integration and resolve any data delivery issues.
  • Apply critical thinking skills to analyze complex data problems and develop innovative solutions.

AWSPythonSQLData AnalysisETLGitData engineeringPandas

Posted about 6 hours ago
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๐Ÿ“ United States

๐Ÿงญ Contract

๐Ÿ’ธ 91520.0 - 120000.0 USD per year

๐Ÿข Company: Third Eye Software๐Ÿ‘ฅ 11-50ConsultingInformation TechnologyRecruitingSoftware

  • 3+ years of experience in data engineering
  • Advanced expertise in SQL
  • Experience with Google Cloud Platform (GCP)
  • Hands-on experience with ETL/ELT processes and data pipeline development
  • Proficiency in Python
NOT STATED

PythonSQLETLGCPJenkinsNumpyData engineeringPandas

Posted about 7 hours ago
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๐Ÿ“ United States, Canada

  • Passionate about people analytics and its purpose in driving employee experience.
  • A blend of technical expertise, analytical thinking and strong communication skills that prioritizes evidence based approach to decision making and influencing.
  • Experience in quantitative data engineering and analysis using Python, R, or Tableau.
  • Collaborate with people technology owners (HRIS, LMS, other people related systems) to understand data structure, APIs and export capabilities.
  • Partner with the enterprise data office to bring people data into our data lake while ensuring data quality and adherence to data governance policies and standards.
  • Design and develop dimensional data models to optimize analytical reporting and dashboard performance.
  • Develop dashboards and reports to enable rapid analytics and support businesses in identifying trends, patterns and insights to support strategic decision making.

PythonSQLBusiness IntelligenceData AnalysisData MiningETLTableauData engineeringCommunication SkillsAnalytical SkillsMicrosoft ExcelReportingData visualizationData modelingData analyticsData management

Posted about 7 hours ago
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๐Ÿ“ United States, Canada

  • Passionate about people analytics and its purpose in driving employee experience.
  • A blend of technical expertise, analytical thinking and strong communication skills that prioritizes evidence based approach to decision making and influencing.
  • Experience in quantitative data engineering and analysis using Python, R, or Tableau.
  • A โ€œhow can we make this better?โ€ mentality with a focus on progress over perfection to continuously drive for improvement and innovation.
  • Collaborate with people technology owners (HRIS, LMS, other people related systems) to understand data structure, APIs and export capabilities.
  • Partner with the enterprise data office to bring people data into our data lake while ensuring data quality and adherence to data governance policies and standards.
  • Design and develop dimensional data models to optimize analytical reporting and dashboard performance.
  • Develop dashboards and reports to enable rapid analytics and support businesses in identifying trends, patterns and insights to support strategic decision making.

PythonSQLData AnalysisData MiningETLTableauData engineeringAnalytical SkillsReportingData visualizationData modelingData analyticsData management

Posted about 7 hours ago
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๐Ÿ“ United States

๐Ÿงญ Full-Time

๐Ÿ” Data Technology

๐Ÿข Company: Monte Carlo

  • 3-5 years of experience in a technical, customer-facing role, preferably within the data technology space.
  • Firm understanding of some of the following: cloud data warehousing, data lakes, ETL concepts and workflows, BI solutions, SQL, and working with APIs; Networking experience a plus
  • Experienced in use case discovery, scoping, and delivering complex solutions to multiple audiences
  • Worked with Enterprise customers before and managed multiple stakeholders and priorities
  • Been part of a high-performing team.
  • Experience identifying and improving internal and customer-facing processes
  • Previously worked in a startup environment. A high degree of ownership and appetite for ambiguity is critical, as well as a relentless desire to solve customer problems and chase down answers.
  • Ability to travel to customer sites up to 25% of the time
  • Be a strategic technical counterpart to the Success team at Monte Carlo.
  • Define project scope based on the customer's needs and requirements, guide clear outcomes, and communicate technical and value propositions.
  • Deliver implementations of Monte Carlo, including on complicated data lake environments.
  • Define "best practice" approaches for achieving a desired technical capability through Monte Carlo.
  • Deliver training and enablement on advanced technical concepts to technical customers.
  • Create collateral, documentation, and other technical materials as needed
  • Advocate on behalf of customers cross-functionally with Product, Engineering, Support, and Sales.
  • Analyze customer trends and identify opportunities to drive product consumption growth

SQLCloud ComputingETLAPI testingData engineeringRESTful APIsData modelingData analyticsCustomer supportCustomer Success

Posted about 7 hours ago
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๐Ÿ“ United States

๐Ÿงญ Full-Time

๐Ÿ’ธ 84800.0 - 106000.0 USD per year

๐Ÿ” Supply Chain & Logistics

  • BA/BS or Master's degree in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics, or Data Science.
  • Experience in data engineering or a technical role with a heavy focus on SQL for data analysis, ETL design, and providing actionable insights, particularly in operational and supply chain contexts.
  • Expertise in SQL-based data manipulation, with extensive experience in scripting, extracting large datasets, and designing complex ETL workflows.
  • Demonstrated ability to closely collaborate with business, product, engineering, research, and design teams to influence and inform decision-making throughout the product lifecycle.
  • Proficiency in creating and managing dashboards using Looker, Tableau, or similar BI tools.
  • Deep passion for addressing real user problems through data-driven solutions.
  • Perform in-depth analyses using a variety of analytical and statistical measurement techniques to drive key product and business decisions
  • Partner with our Product and Engineering teams to automate operational processes
  • Optimize driver planning by building operation models
  • Provide insights on driver hiring strategy, performance, and retention
  • Perform growth and expansion analyses through demand forecasting and inventory planning
  • Identify opportunities and quantify impact of product launches through experimentation and measurement
  • Architect and build production data models that elevate data-driven decisioning
  • Provide clean, transformed data ready for analysis
  • Maintain data documentation and definitions
  • Define and apply best practices for data modeling and DWH architecture design
  • Act as a critical thought partner and collaborate closely with Product, Research, Engineering, Growth, and Operations
  • Recommend solutions that drive meaningful impact for our patients and partners
  • Measure impact of the initiatives launched using various analytical and statistical techniques to drive further improvements
  • Influence product strategy and drive roadmaps through insights and recommendations
  • Contribute to defining our team and company data culture through peer collaboration, coaching, and input into the team processes we adopt as we grow the Analytics team together

AWSSQLBusiness IntelligenceData AnalysisETLTableauProduct AnalyticsAlgorithmsData engineeringData StructuresCommunication SkillsAnalytical SkillsCollaborationProblem SolvingData visualizationData modeling

Posted about 7 hours ago
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๐Ÿ“ EMEA

๐Ÿงญ Full-Time

๐Ÿ’ธ 40900.0 - 92050.0 USD per year

๐Ÿ” B2B SaaS

๐Ÿข Company: Remote๐Ÿ‘ฅ 1001-5000๐Ÿ’ฐ $300,000,000 Series C almost 3 years ago๐Ÿซ‚ Last layoff over 2 years agoHuman Resources Services

  • Extensive experience in a revenue operations or systems role, ideally in the B2B SaaS industry.
  • Deep hands-on experience with GTM technology stacks, including: CRM systems (Salesforce, HubSpot), Sales engagement tools (Outreach, Amplemarket, SalesLoft), AI-driven prospecting tools (Clay, ChatGPT API), Automation platforms (Zapier, Workato), Advanced data enrichment solutions, Lead management, multi-touch attribution, and predictive analytics.
  • Proficiency in SQL and at least one scripting language (Python, JavaScript) is preferred, as is experience with API integrations and data modeling.
  • Proven track record in leading and completing projects successfully.
  • Ability to implement continuous improvement initiatives in sales operations.
  • Exceptional communication and interpersonal skills, with the ability to foster strong cross-functional relationships.
  • Strategic thinker with strong analytical capabilities.
  • Design and maintain a robust GTM tech stack to streamline outbound prospecting and minimize manual efforts.
  • Identify repetitive tasks and implement automated workflows to boost efficiency and scalability.
  • Develop robust reporting mechanisms and conduct ROI analyses to measure the impact of GTM systems.
  • Ensure data accuracy and integrity across GTM systems, maintaining a high standard of quality.
  • Work closely with Sales, Revenue Operations, and Technology teams to ensure seamless system integration and adoption.
  • Document and implement streamlined sales processes.
  • Analyze product offerings and customer data to create detailed Ideal Customer Profiles (ICPs).
  • Develop and maintain automated data pipelines for accurate and up-to-date prospect information.
  • Continuously measure and optimize GTM systems to align with revenue goals.
  • Lead quarterly innovation initiatives, testing AI-driven prospecting, dynamic segmentation, and workflow automation.

Project ManagementPythonSQLBusiness IntelligenceData AnalysisETLJavascriptSalesforceProject CoordinationCross-functional Team LeadershipBusiness OperationsAPI testingAgile methodologiesRESTful APIsSales experienceData visualizationLead GenerationStrategic thinkingCRMData modelingSaaS

Posted about 16 hours ago
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