EMEA Lead – Sales Engineering

As the EMEA Lead – Sales Engineering, you'll lead and grow DevRev's Sales Engineering team across EMEA. It's a hands-on leadership role, you'll directly manage a distributed team of SEs across multiple markets and time zones, while personally partnering with Sales leadership on the region's most strategic opportunities.

You'll set the bar for a high-quality technical experience across the customer journey — blending technical depth with storytelling across demos, evaluations, and proposals, in close collaboration with Sales, Product, Engineering, and Customer Success.

• →Hire, coach, and grow a distributed team of Sales Engineers across multiple EMEA markets — owning recruiting, ramping, goal-setting, reviews, and career development.
• →Manage team capacity and coverage — allocating SE resources across deals, markets, and time zones, and representing SE in regional Sales leadership and forecasting.
• →Own SE strategy and execution across EMEA, partnering with Sales leadership on pipeline growth and revenue targets.
• →Act as the senior technical leader on strategic, complex enterprise deals — from discovery through demos, PoCs, and proposals.
• →Enable partners, resellers, and sales teams through workshops, certifications, and competitive positioning.
• →Build reusable SE assets and best practices — playbooks, demos, guides — and partner with Product and Engineering to influence the roadmap.

• 10+ years in Sales / Solutions Engineering (ideally B2B SaaS), with enterprise customers.
• Proven experience directly managing a distributed SE / technical pre-sales team — hiring, performance management, coaching, and retention.
• Track record of building and scaling teams, and developing individual contributors into high performers.
• Experience across multiple EMEA markets; fluent business English.
• Excellent storytelling and discovery skills; familiar with Command of the Message / MEDDICC.

• AI tooling & aptitude — hands-on with AI tools, models, and AI harnesses; prompt design, code-assist tools, and agentic use cases; able to reason about model selection, evaluation, and orchestration.
• GenAI / LLM workflows — building and demoing LLM-based solutions such as chatbots, ticket deflection, and AI assistants.
• Core customer technologies — working knowledge across CRM, ITSM, and CX platforms (e.g. Salesforce, ServiceNow, Zendesk) and how they connect in an enterprise stack.
• APIs & integrations — consuming REST APIs and webhooks, tools such as Postman, and configuring integrations across systems.
• Cloud, data & scripting — familiarity with AWS, Azure, or GCP; basic SQL; and working knowledge of Python or JavaScript / TypeScript.
• Dev tooling — exposure to Jira, GitHub, and modern SaaS / DevOps stacks.

Nice to have: additional European languages; a CS/Engineering degree or equivalent practical experience.