Solutions Engineering Manager, APAC

Responsibilities

• Develop and lead a high-performing team of solutions engineers through mentorship, coaching, talent development, and performance management.
• Serve as the primary technical advisor for a territory or segment and customer relationships.
• Lead technical discovery, custom product demonstrations, use-case workshops, pilots, and technical scoping for pre-sales engagements.
• Connect prospects and customers to new data sources, including custom integrations.
• Use sales methodologies such as Command of the Message and MEDDPICC to improve deal inspection and technical and business value delivery.
• Identify expansion opportunities within customer install bases.
• Collaborate with sales and services to align and execute Glean and customer priorities.
• Troubleshoot, prioritize, and escalate customer issues to support satisfaction and retention.
• Partner with Product Management, Engineering, and Customer Support to improve customer satisfaction and prioritize product enhancements.
• Contribute to the customer technical community and promote industry best practices.

Requirements

• Pre-sales or post-sales solution consulting experience in a rapidly growing software company.
• Proven people leadership, talent development, and performance management experience.
• 7–10+ years of solutions engineering experience, including complex deals and cross-functional collaboration.
• API and integration experience in hybrid or SaaS environments.
• Deep understanding of cloud architecture, security, networking, and cloud and on-premises environments.
• Deep integration architecture and API expertise.
• Hands-on experience with Google Cloud Platform, Amazon Web Services, or Microsoft Azure.
• Cloud security, information security, and audit experience, including representing technical and audit frameworks to customer stakeholders and executives.
• Strong technical understanding of company products and services.
• Project planning, execution, prioritization, and resource-allocation skills.
• Excellent active listening, communication, presentation, interpersonal, and organizational skills.
• High emotional intelligence, a proactive and self-motivated approach, and a data-driven mindset.

Compensation & Benefits

• Compensation is determined by location, level, job-related knowledge, skills, and experience.
• The role may be eligible for variable compensation, equity, and benefits.