Dataiku

Financial Planning and Analysis

• Own the calculation, validation, and analysis of monthly commission payments
• Ensure accuracy and integrity across compensation data and commission plans
• Investigate discrepancies and resolve compensation-related issues in a timely, well-documented manner
• Provide clear, professional support to sales teams on compensation questions, acting as a trusted point of contact
• Support the execution and ongoing improvement of commission plans, including plan design feedback and process refinement
• Lead commission finance activities, including commission modeling, compensation analytics, and sales commission calculations — all of which are currently built and operated in Anaplan
• Own and maintain the Commissions module in Anaplan, ensuring accuracy, scalability, and proper documentation of processes
• Support the design, maintenance, and optimization of FP&A systems and planning tools, with a primary focus on Anaplan
• Partner closely with Sales and GTM leadership to support strategic decision-making through financial modeling, forecasting, and performance analysis
• Own and manage sales finance processes, including bookings forecasting, pipeline analysis, headcount planning, and productivity reporting
• Manage and enhance forecasting processes across the commercial organization to improve predictability and operational visibility
• Build scalable financial models to support annual planning, long-range planning, and scenario analysis
• Analyze performance data to identify trends, risks, and opportunities across the sales organization
• Partner with Sales, Finance, and Operations teams globally to ensure consistent, accurate compensation and forecasting processes
• Collaborate cross-functionally with Revenue Operations, Accounting, HR, and business leaders to ensure alignment across planning initiatives
• Identify opportunities to improve processes, automate workflows, and increase operational efficiency within FP&A
• Present financial insights and recommendations to senior leadership with a high degree of accuracy and attention to detail

Senior Manager, FP&A – Sales Finance

People Operations

• Participate in People Team Leadership meetings (and others as needed) to ensure clear communication relative to project timelines, deliverables and cross-functional dependencies
• Provide technical and functional leadership for the exploration, evaluation, recommendation, design, and configuration of new features and functionalities within Workday, and other ancillary systems
• Collaborate with leaders from the People Team, Finance, IT, and other stakeholders to gather system requirements and translate them into effective Workday solutions
• Configure, test, validate, and implement changes in Workday, ensuring the overall integrity of the Workday platform and that all components of the technical architecture are properly integrated and maintained
• Create and maintain the documentation of systems related procedures and processes; develop user guides as needed
• Manage and develop a team of analysts, setting objectives that align with team and company strategy
• Implement HRIS best practices and identify automation opportunities within key business processes
• Implement and adhere to public company ready ITGC’s as well as best practice business process controls within the People Systems landscape

Senior Manager, People Systems

Account Executive

• Responsible for managing the entire sales cycle
• Own a territory with prospects and customers across a variety of industries
• Engage prospects and customers about their related initiatives
• Help develop a more efficient approach, leveraging Dataiku's platform
• Collaborate cross-functionally with colleagues in marketing, product management, and sales engineering
• Showcase the business value of Dataiku’s platform, DSS

Enterprise Account Executive

• managing the entire sales cycle
• owning a territory with prospects and customers across a variety of industries
• collaborating cross-functionally with colleagues in marketing, product management, and sales engineering
• showcasing the business value of Dataiku’s platform

Enterprise Account Executive – Federal / Public Sector

Accounts Payable

• The Accounts Payable Specialist will handle all aspects of the accounts payable process.
• This role involves accurately processing invoices, reconciling statements, coordinating payments, and maintaining strong vendor relationships.
• Invoice Processing: Accurately review, code, and process incoming invoices, ensuring adherence to company policies and guidelines.
• Review and manage the shared inbox for the department.
• Verify the accuracy of invoice details, including prices, quantities, and payment terms.
• Vendor Management: Establish and maintain positive working relationships with vendors.
• Address any payment-related queries promptly and resolve any discrepancies promptly
• Payment Processing: Prepare and process weekly/monthly payment batches, ensuring timely and accurate payments to vendors
• Properly file and archive financial documents for easy retrieval and audit purposes
• Month-end Closing: Assist with month-end closing activities related to accounts payable
• Team Collaboration: Collaborate with cross-functional teams, including the procurement and finance departments, to ensure smooth and efficient payment processes.
• Assist with the processing of Employee Expense Reimbursement reports, review, and approvals.
• Perform Banking verifications to validate the payment details provided for suppliers.
• Exceptions to the PO process management and payment processing
• Journal entries creation and account reconciliations in the NetSuite ERP system.

Senior Global Account Payable Specialist

• Take full ownership of NetSuite administration
• Ramp up and expand into Coupa and Navan
• Diagnose and resolve system issues end-to-end
• Execute finance system projects
• Maintain rigorous change controls
• Build trusted relationships across the business
• Get involved in innovation

Financial Systems Manager

SDET

• Ensure highest-quality products delivery
• Coding automated test suites
• Define manual testing plans and strategies
• Collaborate with developers to ensure code is testable
• Improve existing test infrastructure and frameworks
• Mentor new QA team members

Software Engineer in Test

• owning a territory with prospects and customers across a variety of industries
• managing the entire sales cycle
• collaborating cross-functionally with marketing and product management teams
• demonstrating the business value of Dataiku’s platform, DSS

Strategic Account Executive – Central/West

LLM Engineer

• Design end-to-end AI solutions on Dataiku's platform, leveraging Dataiku Agent Hub, Prompt Studio, LLM Mesh, and Knowledge Banks (Vector Stores), or Python-based frameworks where needed.
• Build and orchestrate multi-agent systems using Dataiku's Visual Agents (simple and structured), as well as code-based frameworks (LangGraph, CrewAI, Claude Agent SDK, OpenAI Agents SDK) as appropriate.
• Integrate and optimize LLM APIs across providers (OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure, open-source models via Dataiku's LLM Mesh), applying model routing strategies to balance cost, latency, and quality.
• Implement Retrieval-Augmented Generation (RAG) pipelines, including agentic RAG and GraphRAG, using Dataiku's Knowledge Banks with reranking, dynamic filtering, and document extraction capabilities.
• Work exclusively with the Marketing organisation, partnering across functions such as Demand Generation, Content Marketing, Product Marketing, Field Marketing, Marketing Operations, Brand, and Communications.
• Engage marketing stakeholders to gather business requirements, then go further: identify the underlying user or team pain points those requirements represent, and design solutions that address both the stated need and the deeper problem.
• Own projects end-to-end, from requirements intake and solution design through to build, deployment, and handover.
• Develop autonomous and semi-autonomous AI agents, using Dataiku's Agent Builder, custom Python-based architectures (LangGraph, CrewAI, Claude Agent SDK, etc.), or a combination of both. Exercise judgment on when to leverage platform capabilities and when to build custom solutions.
• Design and build Agent Tools beyond documented examples, including custom API integrations, data retrieval modules, decisioning logic, and automated workflows, pushing past out-of-the-box patterns to deliver solutions tailored to specific business problems.
• Build, publish, and consume MCP (Model Context Protocol) servers to enable agent-to-tool integration across systems, including designing custom MCP servers where needed.
• Develop evaluation and monitoring approaches for agent systems, combining Dataiku's built-in capabilities with custom instrumentation to measure reliability, accuracy, cost, and business impact in production.
• Design and maintain evaluation frameworks (evals) for LLM-based systems, measuring accuracy, latency, cost, and reliability in production.
• Adhere to data governance, security, and regulatory compliance requirements (EU AI Act awareness, responsible AI practices) for all AI solutions.
• Leverage Dataiku's Cost Guard and Quality Guard features to manage LLM spend, enforce usage policies, and maintain output quality standards.
• Work closely with analytics and data engineering teams to maintain metadata on reference datasets for LLM consumption.
• Create front-end user interfaces for AI applications using HTML, CSS, and JavaScript, within Dataiku's webapps framework, Dataiku Answers for chat-based interfaces, or standalone applications built with Vue.js and Node.js.
• Collaborate on UX design, ensuring internal stakeholders find AI solutions intuitive and responsive.
• Provide product feedback to the development team to improve the platform.
• Stay current with the rapidly evolving AI engineering landscape, agent frameworks, model capabilities, evaluation practices, governance requirements, and tools like MCP and A2A protocols.

Generative AI Engineer

Customer Success Manager

• Actively serves a portfolio of assigned accounts including some of the world’s leading organizations in industries such as financial services, insurance, pharmaceuticals, transportation, manufacturing, and technology.
• Gains an understanding of client’s use cases and desired business outcomes and helps a large number of licensed users achieve these goals via Dataiku's Product and Services.
• Helps clients translate the business use cases they’re trying to crack into data science solutions and works with the customers to provide value assessments around the use cases and efficiency improvements.
• Provides guidance to customer organizations on how to leverage Dataiku to implement data science projects from design to production while actively ensuring adoption and growth strategies are in place and being worked.
• Implements customer engagement strategies including consistent Success Reviews, user community events, and customer participation in Dataiku community events to ensure customer engagement and satisfaction.
• Leverages customer health analytics to identify customer expansion opportunities and downsell and churn risks.
• Collaborates with Dataiku’s Sales team to ensure successful renewals and to expand customer relationships.