• Partner with Account Executives on account and opportunity strategy for our most strategic and complex customers, understanding each opportunity in the context of the wider account landscape and positioning other DeepL products where they fit.
• Influence stakeholders across Sales, Product, and Engineering to unblock deals and resolve misalignment.
• Act as a trusted technical advisor, mapping DeepL’s Language AI platform to customer business goals and integration needs, and building relationships across multiple departments including executive stakeholders.
• Lead technical discovery, and design and deliver highly tailored demos, presentations, prototypes, POCs, and proof-of-value engagements across the full platform, including translation, APIs, and Voice. Demonstrate, rather than simply describe, how DeepL fits into complex enterprise workflows.
• Provide expert guidance throughout complex sales cycles on APIs, SSO (SAML, OAuth, OpenID Connect), real-time streaming, and enterprise security and compliance requirements.
• Create and drive adoption of scalable frameworks and assets that raise the wider team’s performance, including demo environments, ROI and value models, pitch materials, discovery frameworks, and best-practice guides. The emphasis is on reusable assets that improve the quality, consistency, and speed of future engagements, rather than collateral produced for a single deal.
• Lead retrospectives on both won and lost opportunities. Identify the root causes of what is not working, own the improvements that follow, and define new processes where gaps exist. Drive their adoption across the team.
• Act as a go-to advisor and mentor for other Solutions Consultants on discovery, demos, stakeholder management, and complex deal strategy. Shape onboarding and skill-development content for the wider team, and mentor colleagues beyond Solutions Consulting, including Sales and Customer Success, where relevant.
• Act as a thought leader with customers, speaking confidently about industry trends, customer stories, and how other organisations have implemented DeepL, and serve as the voice of the customer internally by surfacing structured field insight to Product and Engineering to help shape roadmap priorities.