Jobs at EcoVadis

Provides transactional, commercial, compliance, and governance legal support as a trusted advisor. Responsibilities include drafting and negotiating SaaS and other commercial agreements, advising Sales on contract risks, maintaining templates and approval workflows, monitoring regulatory developments, training sales teams, coordinating external counsel, and supporting AI-powered legal technology adoption.

Provides transactional, compliance, and governance legal support across the organization. Advises stakeholders and Sales on contract risks, drafts and negotiates SaaS and other commercial agreements, maintains contract templates and approval workflows, monitors regulatory developments, trains the Americas Sales Team, supports AI-enabled legal technology adoption, and coordinates external counsel.

Provide transactional, compliance, and governance legal support as a trusted advisor. Lead commercial contract reviews and negotiations, advise Sales on contract risks, maintain templates and approval workflows, monitor regulatory developments, train business teams, coordinate external counsel, and support adoption of AI-powered legal tools to improve contract review efficiency.

Manage and grow the DACH partner ecosystem by driving joint sales, co-creating GTM strategies, executing joint marketing, enabling partners and sales, maintaining Salesforce partner data, and supporting pipeline and onboarding.

Lead and mentor a cross-functional engineering team, partnering with Product Leadership to define product vision and manage B2B SaaS solutions.

Provide legal advice and lead on transactional, compliance, and governance matters. Draft, review, and negotiate SaaS and commercial agreements, maintain contract templates and approval workflows, train Sales, monitor regulatory developments, coordinate external counsel, and support adoption of AI legal tools.

Provide transactional, compliance, and governance legal support across the company. Draft, review and negotiate SaaS and commercial agreements, advise Sales on contract risks, maintain templates and workflows, monitor regulatory developments, train sales teams, coordinate external counsel, and help integrate AI legal tools to streamline contract review.

Provide legal advice and lead transactional, compliance, and governance matters. Draft, review, and negotiate SaaS and commercial contracts, maintain templates and approval workflows, train Sales, monitor regulatory developments, integrate AI legal tools, and coordinate external counsel.

Manage and expand EcoVadis’s North Europe partner ecosystem across technology and consulting alliances. Develop co-selling and joint go-to-market strategies, execute partner marketing campaigns, enable sales teams and partners, maintain relationships with senior stakeholders, support partner onboarding and opportunity qualification, and track performance metrics in Salesforce. The role focuses on driving pipeline, revenue growth, partner engagement, and consistent positioning of EcoVadis’s sustainability solutions.

Design and maintain enterprise ontologies and knowledge graphs, integrate structured and unstructured data for LLM grounding, implement SHACL guardrails, build graph-to-vector retrieval (GraphRAG) and entity resolution pipelines, and collaborate with product, data, and engineering teams to operationalize agent-ready semantic layers.

Lead a global revenue enablement team to align GTM strategy with business outcomes; build and scale programs to improve seller productivity and manager effectiveness; define enablement roadmap and success metrics; oversee global program portfolio from onboarding to leadership development; and drive AI transformation through LLM-powered coaching, call analysis, and automation.

Coordinate customer onboarding and program implementation, deliver platform demos and trainings, support account managers with data analysis and presentations, liaise cross-departmentally, monitor KPIs, drive solution adoption, lead process and customer-focused projects, and share best practices to improve service quality and customer outcomes.

Support customer program implementation and adoption by delivering platform demos and trainings, providing operational account support, monitoring KPIs, liaising across departments, driving process improvements and data-driven insights to increase solution usage and help customers meet sustainability goals.

The Enterprise Data Architect drives data strategy and architecture, ensuring scalability, governance, and AI readiness across various data teams and projects.

Provide operational management for EcoVadis customers in the DACH region: platform demos, reports, trainings, data analysis, and cross-functional liaison. Support customer adoption, resolve issues, run projects to standardize CS processes, and build advocacy and strong customer relationships. Role is hybrid in Barcelona on a 12-month VIE contract.

Manage the Italian customer base to maximize retention, revenue and upsell; identify opportunities via outreach and data; run webinars and content to drive value perception; coordinate with internal teams, report market/account status, and propose process and automation improvements to improve customer experience.

Lead implementation of AI governance frameworks and policies, ensure regulatory alignment (e.g., NIST AI RMF, EU AI Act), perform AI risk assessments and mitigation, coordinate with AI/ML engineers on asset management, support reporting and disclosures, and advise cross-functional stakeholders on responsible AI practices.

Design, build, deploy, and maintain scalable AI/ML systems and pipelines. Implement MLOps/LLMOps/AgentOps practices, run large-scale experiments, enable model serving and monitoring, and collaborate cross-functionally to integrate ML into business applications.

Design and govern enterprise data architecture and strategy to enable data-as-a-product and AI-readiness. Lead target architectures, integrate feature stores and vector DBs, support MLOps, ensure data governance/compliance, mentor teams, validate new technologies, and drive adoption across Analytics, BI, Engineering and AI teams.

Design, develop, deploy, and maintain scalable AI/ML systems and pipelines. Apply MLOps/LLMOps/AgentOps best practices, run large-scale experiments, build engineering infrastructure for batch and real-time workflows, and integrate models into business applications with monitoring and APIs. Collaborate with scientists, engineers, and product teams to deliver end-to-end solutions using Python, MLflow, Azure, and Databricks.