Top Tech Jobs & Startup Jobs

Perform FP&A tasks including forecasting, budgeting, reporting, variance analysis, predictive modeling and scenario planning. Support GAAP compliance, audits, and financial controls. Collaborate with Sales, Marketing, and Operations to build budgets, monitor spending, drive process improvements, automate reporting using ERP/visualization tools, and present insights to leadership.

Sell Agilent lab informatics solutions (CDS, SDMS, LIMS, LES) across French-speaking regions. Drive sales funnel, qualify leads, perform technical demos, train sales teams, support global accounts, and meet regional sales objectives.

Lead R&D hardware development for Agilent's automation platforms, managing multidisciplinary teams across mechanical, electrical, fluidics, motion control, and systems engineering. Drive product strategy, end-to-end program execution, manufacturability, lifecycle management, and cross-functional collaboration to commercialize laboratory automation solutions.

Designs, builds, deploys, and governs production AI solutions, including agentic systems, RAG applications, reusable AI skills, orchestration patterns, evaluation frameworks, and observability capabilities. Partners with scientific, commercial, and operational stakeholders to translate workflows into reliable solutions. Establishes testing, monitoring, governance, security controls, audit trails, and human-in-the-loop processes for regulated use cases. The role also documents reusable assets, influences platform standards, and upskills domain practitioners.

Build and scale production AI applications, agents, retrieval systems, AI-ready data products, and platform capabilities. Responsibilities include RAG, vector search, semantic enrichment, data governance, quality, lineage, evaluation, monitoring, observability, and enterprise integration. Collaborate with domain experts, engineers, platform teams, and business stakeholders to create reliable, reusable AI solutions that address complex business needs.

Manage monthly payroll and HR administration for Italy and Spain, coordinating with external payroll providers and internal HR, Finance, and IT teams. Responsibilities include payroll validation, tax and social security activities, audits, SOX and GDPR compliance, vendor management, issue resolution, process improvements, employee data confidentiality, and participation in HR projects and team training.

Leads the Clinical and Diagnostics Division PMO, overseeing portfolio governance, investment prioritization, resource allocation, project execution, risk management, and strategic initiatives. Develops PMO capabilities, project managers, standardized methodologies, and high-performing teams. Partners with senior business and functional leaders to align priorities, drive organizational change, resolve execution challenges, and provide portfolio insights supporting growth and innovation.

Manage sales order fulfillment and coordinate logistics activities to meet customer delivery requirements. Responsibilities include order status updates, shipment expediting, rescheduling, returns, service-order tracking, inventory replenishment, stock transfers, and exception handling. Partner with customer operations and global product controllers to resolve process issues, improve fulfillment operations, maintain order accuracy, and optimize customer satisfaction and revenue.

Leads the India Finance Center of Excellence supporting Business Finance through financial planning, forecasting, performance management, reporting, and executive decision support. Manages finance analysts, translates financial and operational data into actionable recommendations, and partners with global finance, consolidation, corporate FP&A, and IT teams. Advances automation, SAP, Power BI, AI-enabled tools, reporting standardization, and data-driven decision-making while developing talent across a global matrixed organization.

Build, validate, and productionize statistical and ML forecasting models to improve demand planning accuracy. Partner with IBP demand planners to analyze forecast accuracy and deviations, generate insights, run experiments, and communicate results. Recommend data collection and integration strategies, educate stakeholders on methodologies, and continuously improve forecasting capabilities using large datasets and visualization techniques.