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.