Jobs at EcoVadis

Drive renewal and expansion sales for existing enterprise customers across the Nordic region. Exceed quotas, manage full-cycle solution sales, develop account plans, build executive relationships, and sell SaaS sustainability solutions to procurement, ESG, sustainability, compliance, and supply chain stakeholders. Collaborate with Customer Success and internal teams to grow accounts, maintain customer satisfaction, and participate in industry conferences.

Oversee HR operations, employee lifecycle processes, employee relations, payroll and benefits administration, Japanese labor compliance, health and safety, and office administration for the Japan office. Localize global HR initiatives, improve workflows using Gen-AI and HR technology, analyze engagement feedback, manage external providers, and support a safe, inclusive workplace in collaboration with regional and global teams.

Manage and grow the French EcoVadis market by supporting existing subscribers, identifying upsell and upgrade opportunities, conducting proactive outreach, and improving customer satisfaction and retention. The role includes webinars, account and market analysis, stakeholder communication, reporting, process improvement, automation identification, and sharing customer feedback to improve products and services. Professional fluency in French and English is required.

Drive new business through cold calling, email, LinkedIn, video outreach, and social selling. Conduct discovery calls with senior sustainability and procurement executives, qualify opportunities using MEDDPICC, research target accounts, manage leads and follow-ups, and schedule qualified meetings for Account Executives. Collaborate with Marketing and AEs on localized messaging, track performance in Salesforce, represent EcoVadis at industry events, and advocate for ESG and sustainable supply-chain solutions.

Build and operate production knowledge graph systems powering AI agents for sustainability applications. Responsibilities include GraphRAG ingestion pipelines, entity resolution, semantic data federation, RDF and property graph integration, optimized Cypher and SPARQL retrieval, hybrid vector-graph search, MCP tooling, SHACL validation, and large-scale GraphOps. The role requires advanced Python, cloud, NLP, graph database, semantic web, and data transformation expertise.

Build and optimize production knowledge graph infrastructure, GraphRAG ingestion pipelines, entity-resolution workflows, semantic data integrations, and agent tooling. Develop hybrid vector-graph retrieval, NL2Query and MCP endpoints, SHACL-based validation, and high-performance graph databases supporting autonomous AI agents. Integrate enterprise, ESG, supply-chain, and external ontology data while optimizing graph queries and partitioning at scale.

Lead the design and delivery of production conversational AI systems, including multi-turn agents, LLM reasoning loops, and multi-agent orchestration. Use Python, Azure, MLflow, and Databricks to build and maintain end-to-end AI solutions. Mentor scientists, lead cross-functional initiatives, promote AI best practices, collaborate with customers, and guide adoption of conversational AI across enterprise sustainability use cases.

Designs and delivers production conversational AI systems, including multi-turn agents, LLM reasoning loops, and multi-agent orchestration. Leads end-to-end AI initiatives using Python, Azure, MLflow, and Databricks; benchmarks and maintains models; mentors junior staff; leads cross-functional teams; and partners with customers to develop solutions for complex enterprise domains.

Assess companies’ sustainability management systems using the EcoVadis methodology. Analyze corporate documentation, sustainability evidence, external news, and automated system suggestions; synthesize findings across environmental, social, ethical, and supply-chain topics; align evidence with GRI, ISO 26000, and ESRS frameworks; and complete quality checks to produce accurate, fair sustainability scorecards. The role requires strong English and Japanese communication, analytical reasoning, attention to detail, and independent work.

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

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

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.

Conduct outbound prospecting to generate qualified meetings for Account Executives, engage senior sustainability and procurement leaders, document interactions in Salesforce, meet quota, collaborate with marketing and AEs, and report on pipeline and trends.