Salesforce Manager - Sales data analyst H/F

SmartRecruiters, Inc.; Noisy-le-Grand; On-site; EUR 70,000 - 100,000; Full time

Job summary

EasyVista is seeking a Sales IS Manager to design and deploy Salesforce solutions, CPQ workflows, and AI-enabled Revenue Operations. You will lead architecture decisions, drive data governance, and ensure scalable, compliant deployments across the org.

The role requires strong RevOps tech experience, API integration, and hands-on leadership with AI guardrails. Aimed at professionals with 3–5 years in Revenue Operations or SaaS deployments.

Qualifications

• Advanced configuration and administration of CPQ solutions, incl. Salesforce CPQ/Revenue Cloud, DealHub or equivalent.
• Experience evaluating, implementing, and optimizing RevOps tech (CRM, sales enablement, marketing automation, CS, revenue intelligence).
• Hands-on experience with N8N, Make, or equivalent; strong data transformation and workflow optimization.
• Experience leveraging APIs to connect revenue systems (CRM, ERP, CX, BI).
• Experience with data migrations, deduplication, enrichment, validation frameworks, and quality assurance.
• Experience integrating AI/LLMs with CRM, analytics, and business applications.
• Knowledge of production AI guardrails: human validation, fallbacks, cost monitoring, privacy compliance.
• Strong ability to produce clear architectural docs, deployment guides.
• Bachelor's degree in engineering, CS, or equivalent; 3–5 years in RevOps, systems integration, or SaaS tool deployment.

Responsibilities

• Design, develop, test, and deploy Salesforce solutions using Apex, LWC, APIs, and automation.
• Govern Salesforce automation and architecture focusing on performance and maintainability.
• Configure CPQ catalogs, pricing, approvals, and quote-to-cash workflows.
• Integrate revenue platforms via APIs and ETL for unified data exchange.
• Lead data migration, cleansing, and governance across systems.
• Define technical standards and ensure reliable deployments.
• Provide training and knowledge transfer for users on new tools.
• Design AI-powered workflows and ensure governance, privacy, and guardrails.
• Measure impact with adoption and ROI metrics.

Skills

CPQ

RevOps ecosystem

Automation platforms

API integration

Data governance

AI & LLM integration

AI guardrails

Technical documentation

Education

Experience in RevOps

Education

Bachelor's degree in engineering or CS

Job description

• Full-time
• Seniority: Confirmed

Company Description

EasyVista is a leading European IT Service Management (ITSM) and IT Operations platform, providing organisations with a unified cloud-based solution to manage IT service delivery, automate workflows, monitor digital infrastructure and support employees across increasingly complex enterprise environments. Its platform combines ITSM, Remote Support, Monitoring, Automation and AI capabilities to help CIO organisations improve operational efficiency, reduce downtime and deliver a better digital employee experience.

Founded in France, EasyVista has grown into a leading European provider of IT Service Management and IT Operations software provider, serving more than 3,000 customers globally across enterprise, public sector and mid-market organisations. The business has expanded both organically and through acquisition, most recently strengthening its position in the DACH region through the acquisition and integration of OTRS, one of Germany's best-known ITSM platforms.

Under Eurazeo's ownership, EasyVista has entered the next phase of its evolution: transforming from a traditional ITSM software provider into a broader AI-enabled IT Operations platform. Alongside significant investment in product innovation, the business has expanded into Remote Support, Monitoring and Automation, transitioned towards a subscription-led commercial model, invested in Customer Success and is building a scalable partner ecosystem. Following the acquisition and ongoing integration of OTRS, Germany has become one of EasyVista's most strategic growth markets, with the business now focused on scaling its enterprise platform, accelerating cross-sell opportunities and establishing itself as a leading European alternative within the IT Operations software market.

Job Description

The Sales IS Manager is responsible for building, deploying, and maintaining the technical systems and infrastructure that power our Revenue Operations teams. This includes CRM (Salesforce) development, custom code (Apex) development, Lightning component configuration, system integrations, automation frameworks, data quality management, and increasingly, AI-driven solutions.

As the technical partner to Revenue Operations Managers, you transform architectural decisions into production-ready solutions that are reliable, measurable, documented, and maintainable.

You drive and support adoption by leading users’ enablement on process and tools.

You ensure that deployments go beyond proof-of-concepts to become scalable, long-term solutions that drive measurable business impact.

1. Technical Solution Design and Development

• Design, develop, test, and deploy custom Salesforce solutions leveraging Apex, Lightning Web Components (LWC), APIs, custom objects, and automation frameworks, ensuring scalable, maintainable, and high-performing business applications
• Develop and govern Salesforce automation and application architectures with a focus on error handling, bulk processing, recursion management, platform limits, performance, and sustainable maintainability
• Configure, maintain, and optimize CPQ product catalogs, pricing logic, approval workflows, and custom functionality to support scalable quote-to-cash operations and an efficient commercial process
• Integrate revenue technology platforms through APIs, ETL pipelines, and native connectors to enable seamless data exchange, process automation, and reporting consistency across the go-to-market ecosystem
• Lead data migration activities, including data extraction, cleansing, transformation, validation, and import/export processes, ensuring data integrity across Salesforce and connected business systems
• Design and implement data governance practices, including deduplication, enrichment, validation rules, and quality monitoring to ensure accurate, consistent, and reliable business data
• Define and enforce technical standards across sandbox and production environments, ensuring controlled deployments, effective testing, and reliable production releases

2. System Architecture and Technical Leadership

• Serve as technical lead for the Revenue Operations technology stack, ensuring alignment, scalability, and operational excellence across business systems
• Evaluate and recommend technology solutions and architectural approaches that optimize business value, scalability, maintainability, AI enablement, and operational efficiency while minimizing complexity and technical debt
• Define and enforce technical standards for application development, testing, deployment, environment management, and technical documentation, promoting maintainable solutions, knowledge sharing, and reliable platform operations

3. Documentation and Knowledge Transfer

• Create and maintain technical documentation, including system architectures, administration guides, operational procedures, and best-practice standards
• Deliver clear, actionable outputs and provide user training, knowledge transfer, and AI adoption guidance to support successful solution deployment and ongoing operations

AI-Driven Revenue Operations

• Design and deploy AI-powered workflows and agents that automate revenue processes, improve productivity, and enhance decision-making across the customer lifecycle
• Integrate LLM capabilities into business applications and automation frameworks while establishing governance for security, privacy, reliability, and operational scalability
• Establish and enforce AI guardrails, including human oversight, approval workflows, auditability, fallback mechanisms, cost controls, and data privacy standards to ensure safe and reliable production use
• Measure AI solution effectiveness through adoption, accuracy, operational impact, time savings, and business outcome metrics, continuously optimizing solutions beyond initial deployment
• Ensure data quality, structure, and governance standards are maintained to support reliable, scalable, and trustworthy AI capabilities

Qualifications

• CPQ Expertise: Advanced configuration and administration of CPQ solutions, including product catalogs, pricing and discount strategies, approval workflows, quote generation, contract management, and commercial data architecture; experience with Salesforce CPQ/Revenue Cloud, DealHub, or equivalent quote-to-cash platforms
• Revenue Operations Ecosystem: Experience evaluating, implementing, and optimizing RevOps technologies, including CRM, sales engagement, marketing automation, customer success, and revenue intelligence platforms
• Automation Platforms: Proven hands-on experience with N8N, Make, or equivalent; strong understanding of error handling, data transformation, and workflow optimization
• API Integration: Experience leveraging APIs to connect revenue systems (CRM, ERP, CX, BI)
• Data Governance: Experience with data migrations, deduplication, enrichment, validation frameworks, and quality assurance
• AI and LLM Integration: Experience integrating AI and LLM technologies with CRM, analytics, and business applications
• AI Guardrails: Knowledge of production safeguards for AI—human validation, fallback mechanisms, cost monitoring, privacy/GDPR compliance, error tracking
• Technical Documentation: Strong ability to produce clear, structured technical documentation, architecture diagrams, and deployment guides
• Education: Bachelor's degree in engineering, computer science, or equivalent technical field (4-5 years post-secondary education)
• Experience: 3 to 5 years of technical experience in Revenue Operations, systems integration, or SaaS tool deployment

Additional Information

• Business Acumen: Understanding of Revenue Operations processes and ability to design solutions that address real business problems
• Autonomy and Ownership: Self-directed approach to complex technical challenges with minimal supervision; ability to prioritize and multitask
• Communication and Teaching: Ability to translate technical concepts for non-technical stakeholders; strong presentation and knowledge-sharing skills
• Intellectual Rigor: Attention to detail, quality-focused mindset, commitment to building lasting solutions rather than quick fixes
• Adaptability: Exposure to diverse environments, technology stacks, and business models; comfort with continuous learning in a fast-evolving landscape. Ability to work cross-functionally with stakeholders in demanding environments

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