Jobs at EcoVadis

Own end-to-end web and product analytics tracking across EcoVadis customer platforms. Implement client- and server-side tracking, data layers, schemas, segmentation, A/B testing, feature flags, QA automation, and integration monitoring. Debug tracking payloads and data flows, safeguard privacy and data integrity, and collaborate with Product, Marketing, Analytics, and Engineering teams. The role also develops AI-assisted workflows for tracking specifications, regression testing, and anomaly detection.

Leads EcoVadis’s Use Case Tribe, setting product strategy, prioritizing investments, owning roadmap and ARR outcomes, and launching B2B SaaS products. The role combines executive leadership with hands-on product execution, customer discovery, prototyping, AI-enabled workflows, commercial partnerships, and cross-tribe architecture influence. Responsibilities include hiring and coaching Product Managers, driving pricing and go-to-market, improving product maturity, and delivering solutions across sustainability, regulatory, human rights, decarbonization, supply chain resilience, and sustainable procurement.

Leads the Use Case Tribe’s product strategy, roadmap, investment priorities, commercial outcomes, launches, and cross-functional architecture decisions. Owns product growth across regulatory due diligence, human rights, decarbonization, supply chain resilience, and sustainable procurement. Builds and coaches Product Managers and Experts, partners with commercial teams, engages customers, and advances AI-native product practices across the organization.

Lead EcoVadis’s Use Case Tribe and its portfolio of strategic B2B SaaS products. Define product strategy, roadmap, investment priorities, and commercial outcomes including ARR, adoption, and retention. Lead launches, pricing, packaging, customer discovery, and cross-tribe architecture decisions. Hire and develop Product Managers and Experts while remaining hands-on with prototypes, requirements, business cases, and AI-enabled workflows. Influence executives, engineering, sales, marketing, customer success, and partners to build market-leading sustainability products.

Own regional strategy, planning, forecasting, operating cadence, and performance management for EcoVadis’s go-to-market organization. Partner with Sales, Customer Success, Marketing, Finance, Product, HR, and Revenue Operations to align priorities, improve data and process adoption, guide corrective actions, and lead strategic transformation initiatives. Serve as the regional voice to central Revenue Operations and influence senior leaders without formal authority.

Oversee HR operations, employee lifecycle management, employee relations, payroll and benefits coordination, Japanese labor compliance, workplace safety, office administration, and employee experience for the Japan office. Partner with regional HR and external providers, localize global initiatives, improve HR workflows using Generative AI, and support an inclusive, sustainable workplace.

Lead EcoVadis's global Revenue Enablement function and team of eight. Set strategy, align with senior GTM leaders, scale enablement programs, improve seller and manager effectiveness, establish outcome-based metrics, and oversee onboarding and leadership development. Drive AI transformation through coaching, call analysis, automation, and adaptive learning while connecting enablement initiatives to revenue growth and customer retention.

Manage onboarding and account relationships for corporate and select customers, helping them maximize EcoVadis solutions throughout the assessment process. Responsibilities include customer support, retention, stakeholder engagement, cross-functional coordination, portfolio reporting, platform guidance, and promoting customer success through case studies and events.

Own a strategic sustainability product use case end to end, from customer discovery and data requirements through AI-enabled prototyping, roadmap, engineering delivery, launch, go-to-market, and measurable business outcomes. Engage enterprise customers, define product vision, assess competitors, collaborate across squads, and make persist, pivot, or stop decisions. The role requires strong technical fluency, AI-native workflows, customer obsession, and experience delivering B2B enterprise SaaS products in regulated, data-rich, sustainability, or risk domains.

Own a strategic sustainability product use case end to end, from customer discovery and data requirements through AI prototyping, roadmap development, engineering execution, launch, and market outcomes. Engage enterprise customers, assess competitors, define success measures, partner with commercial teams, and make persist, pivot, or stop decisions. The role requires an AI-native, technically fluent product builder with experience in regulated, data-rich, sustainability, or risk domains.

Own a strategic sustainability product use case end-to-end, from customer discovery and data requirements through AI-powered prototyping, roadmap, development, launch, and market outcomes. Engage enterprise customers, analyze competitors, collaborate with engineering and commercial teams, define success metrics, and make persist, pivot, or stop decisions. The role requires an AI-native, technically fluent product builder comfortable with regulated, data-rich sustainability or risk domains.

Own a strategic sustainability product use case end to end, from customer discovery and data requirements through AI-enabled prototyping, roadmap, development, launch, and market outcomes. Partner with customers, engineering, product experts, and commercial teams to define vision, validate solutions, drive execution, and measure results. The role requires an AI-native, technically fluent product builder with enterprise SaaS experience and comfort working in regulated, data-rich, sustainability, or risk domains.

Own a strategic sustainability product use case end-to-end, from customer problem discovery and data requirements through prototyping, roadmap, launch, go-to-market, and measurable outcomes. Engage enterprise customers, collaborate with engineering and commercial teams, use AI and scripting to prototype solutions, define success metrics, and make product decisions. The role requires an AI-native, customer-focused generalist comfortable working in regulated, data-rich sustainability or risk domains.

Leads a large engineering team of approximately 20 people responsible for a core B2B SaaS product domain. Partners with Product and Design leadership on product vision, roadmap, architecture, delivery, quality, staffing, and technical strategy. Provides technical direction, manages technical debt, improves operational excellence, coordinates cross-functional priorities, and mentors senior talent in an international environment.

Build and operate production-grade knowledge graph infrastructure, GraphRAG pipelines, entity-resolution workflows, semantic data integrations, and agent tooling. The role involves transforming structured and unstructured sustainability data into graph databases, optimizing multi-hop queries, implementing hybrid vector-graph search, exposing graph tools to LLM agents, and enforcing data quality with SHACL validation. Candidates will use Python, cloud technologies, NLP frameworks, semantic web standards, and graph databases at enterprise scale.

Design, deploy, and maintain scalable AI/ML systems and infrastructure. Build MLOps, LLMOps, and AgentOps pipelines; orchestrate batch and real-time workflows; run experiments; monitor models; and integrate AI solutions into business applications. The role uses Python, MLflow, Azure services, and Databricks, while collaborating with scientists, engineers, and product teams to deliver production-grade AI/ML products.

Design, deploy, and maintain scalable AI/ML systems and MLOps, LLMOps, and AgentOps pipelines. Build batch and real-time infrastructure, conduct large-scale testing, monitor models, and integrate AI solutions into business applications. Collaborate with scientists, engineers, and product teams using Python, Azure, MLflow, and Databricks.

Build and operate production knowledge graph systems, including GraphRAG ingestion pipelines, entity resolution, semantic data federation, and hybrid vector-graph search. Develop graph and RDF infrastructure using Neo4j, Memgraph, and triple stores; optimize Cypher and SPARQL queries for large-scale traversal; implement SHACL validation and CI/CD quality controls; and create MCP tools and NL2Query capabilities for autonomous AI agents. Integrate sustainability, supply chain, and external registry data into agent-ready enterprise knowledge graphs.

Leads EcoVadis’s global Revenue Enablement function, managing eight experts and partnering with senior GTM leaders. The role develops enablement roadmaps and programs for Sales, Customer Success, and other commercial teams; improves seller productivity, manager effectiveness, onboarding, and leadership development; establishes outcome-based metrics; and drives AI-powered coaching, call analysis, and workflow automation. It requires extensive global enablement leadership, revenue methodology expertise, measurable commercial impact, and experience in B2B SaaS or technology environments.

Prospect and qualify target accounts, conduct discovery conversations with senior sustainability and procurement executives, schedule qualified meetings for Account Executives, generate pipeline, meet quotas, maintain outreach activity, report results, create business plans, and document communications in Salesforce. The role requires fluent English and Japanese communication and promotes sustainability solutions for global supply chains.