Top Tech Jobs & Startup Jobs

Lead Cognism’s French sales organization across new business, renewals, and expansion. Own regional revenue delivery, forecasting, pipeline inspection, executive relationships, and commercial execution. Coach Account Executives and Account Managers, build high-performing teams, improve deal and renewal performance, and align with SDR, Marketing, RevOps, Product, Data, Customer Success, and Enablement teams. Serve as the senior commercial leader and market voice for France.

Own the strategy, roadmap, delivery, quality, governance, commercialization, and adoption of Cognism’s B2B data products. Translate customer needs into data requirements, collaborate with engineering and data science, evaluate ML-driven data features, define success metrics, manage cross-functional stakeholders, and ensure compliance, reliability, and customer value across APIs, CRMs, and agentic systems.

Owns FinOps and AWS rightsizing across the R&D organization. The role provides cloud cost visibility, allocation, forecasting, variance analysis, optimization backlogs, cost-impact assessments, and recurring financial reporting. It partners with engineering, data, operations, finance, and leadership teams to improve resource efficiency, accountability, and cloud investment decisions while balancing cost, reliability, security, and performance.

Provides technical support to Cognism customers through email and live messaging. Investigates product, account, browser, configuration, and integration issues; follows troubleshooting procedures; documents resolutions in Zendesk; escalates complex issues; identifies recurring problems; and collaborates with technical teams. The role includes structured onboarding and progression into advanced troubleshooting, integrations, and API support.

Leads Cognism’s global revenue operations strategy across Sales, Marketing, and Customer Success. Responsibilities include revenue planning, forecasting, quota and territory design, process optimization, technology enablement, analytics, cross-functional alignment, and global team leadership. The role drives operational efficiency, scalable growth, accountability, and data-informed decision-making while managing revenue technology including Salesforce, Seismic, HubSpot, Looker, Tableau, Gong, and Outreach.

Lead DACH enterprise and mid-market demand generation strategy, ABM execution, integrated campaign planning, and pipeline creation. Partner with sales, RevOps, paid media, content, web, brand, and events teams to build and optimize multi-channel programs. Own campaign objectives, budgets, reporting, attribution, and performance against MQL, SQL, pipeline, revenue, and account engagement targets.

Acts as a strategic and operational partner to the VP of Product Engineering. Coordinates cross-functional initiatives, executive communications, organizational planning, board materials, dashboards, KPIs, and decision accountability. Tracks risks and dependencies, supports organizational design and hiring, improves processes through automation and AI, and represents leadership in selected meetings. Success involves predictable initiative delivery, stronger operating cadence, executive reporting, and improved organizational execution across Engineering, Product, Finance, and HR.

Design and develop backend services, APIs, CRM integrations, enrichment workflows, and synchronization services. Own software through production, improve reliability and performance, write automated tests, participate in reviews and architecture discussions, and collaborate with Product, Customer Success, Data Engineering, and Platform teams. The role involves AWS, microservices, Kafka, databases, CI/CD, and production support.

Build and operate Cognism’s AWS cloud platform, including Kubernetes infrastructure, Infrastructure as Code, CI/CD pipelines, observability, automation, incident response, and reliability improvements. Partner with engineering, security, and architecture teams to improve resilience, developer productivity, and cloud cost efficiency. The role requires hands-on production platform engineering experience, strong Kubernetes administration, deployment automation, scripting or programming skills, and excellent English communication.

Build and maintain cloud-native backend services supporting Data-as-a-Service, REST APIs, and Model Context Protocol capabilities. Design distributed microservices, deliver reliable production software, own features from technical design through operational support, write automated tests, contribute to architecture, collaborate across engineering and product teams, and mentor less experienced engineers.