Senior Manager, Solutions Engineering
Leads and scales the EMEA Solutions Engineering organization while serving as a player-coach in complex enterprise sales cycles. The role requires extensive pre-sales leadership, technical solution architecture, revenue ownership, and executive customer engagement.
About the job
Responsibilities
- Define and evolve the strategic vision and go-to-market approach for the Solutions Engineering function.
- Lead, coach, hire, and scale a high-performing Solutions Engineering team across regions and verticals.
- Operate as a player-coach in strategic, complex sales opportunities.
- Support six-figure sales cycles through technical guidance, solution architecture, demonstrations, product evaluations, and sales expertise.
- Serve as a trusted technical advisor and executive point of contact for enterprise customers.
- Partner with Sales, Product, Marketing, Engineering, and Services on verticalized go-to-market motions and solution strategy.
- Lead discovery, design, and delivery of tailored technical solutions, including proofs of concept and business value assessments.
- Build reusable solution frameworks and industry-specific technical assets.
- Advocate for customer needs to influence product roadmap and prioritization.
- Represent the company and Solutions Engineering function in executive meetings and strategic events.
- Translate AI product capabilities into tangible business impact for C-level stakeholders.
Requirements
- 5+ years of pre-sales experience as a Sales Engineer, Solutions Engineer, Solutions Architect, or related individual contributor.
- 3+ years of experience leading technical pre-sales teams, including hiring, mentoring, and managing high-performing teams.
- Track record of delivering revenue results and producing accurate forecasts while developing teams.
- Ability to work effectively amid ambiguity and pressure while solving complex customer challenges.
- Excellent communication and presentation skills.
- Ability to travel internationally approximately once per month.
- Flexibility to work with teams in the United States and Asia-Pacific.
Nice to Have
- Experience selling AI, data, or highly technical products.
- Curiosity about and practical use of AI.
- Humble, collaborative attitude and willingness to learn.
Compensation and Benefits
- Benefits and programs supporting health and wellbeing, family, time away from work, and financial wellbeing; offerings vary by location.
- Hybrid working policy requiring employees to work in the office at least three days per week.
Skills
Solutions Engineering, Pre-Sales, Sales Engineering, Solutions Architecture, Go-To-Market, Proofs Of Concept, Business Value Assessments, Artificial Intelligence, Data Products, Forecasting, Product Evaluations, Executive Presentations
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