Manager, Solution Engineering

Overview

Snowflake is redefining the future of work in the era of the AI-driven enterprise. We seek individuals who embrace AI as a collaborative partner to enhance problem-solving and productivity. We value adaptable, humble professionals who thrive in fast-paced, experimental environments and approach challenges with curiosity.

We are expanding rapidly and are seeking a Solutions Engineering Manager to guide and grow a team of high-performing Solutions Engineers. This leadership position requires close collaboration with sales, product, engineering, marketing, and other departments to drive technical sales success, support customer expansion, and maximize the value customers derive from the Snowflake AI Data Cloud.

Key Responsibilities

• Lead, mentor, and nurture a solutions engineering team to achieve excellent business and technical outcomes throughout the sales process.
• Collaborate with account executives and sales leadership to devise technical strategies for winning new business and expanding existing accounts.
• Foster a team culture focused on accountability, collaboration, coaching, and continuous learning.
• Guide team members in customer discovery, technical presentations, demonstrations, workshops, and proof-of-concept projects.
• Assist the team in translating customer business problems into effective modern data, analytics, and AI solutions.
• Develop talent, evaluate performance, and create growth paths within the Solutions Engineering organization.
• Lead deal strategy, resource management, stakeholder coordination, and execution planning.
• Establish strong partnerships with Product Management, Engineering, Marketing, and other field teams to enhance effectiveness and customer results.
• Keep abreast of competing and complementary technologies, directing the team on positioning strategies.
• Serve as a trusted technical and commercial advisor to customers, partners, and senior stakeholders.
• Contribute to recruitment, onboarding, succession planning, and organizational scaling for the Solutions Engineering function.

Qualifications

• Proven leadership or mentorship experience in technical pre-sales, solutions engineering, sales engineering, solution architecture, or related client-facing technical teams.
• Extensive background in vendor, pre-sales, or commercial technology settings, with successful support of complex enterprise sales cycles.
• Comprehensive understanding of modern data platforms and adjacent technologies, including data engineering, analytics, and cloud solutions.
• Capability to coach teams in technical sales tactics, customer engagement, executive communication, and cross-departmental execution.
• Excellent communication and presentation skills to engage diverse technical and executive stakeholders.
• Demonstrated effectiveness in people leadership encompassing coaching, performance evaluation, team growth, and recruitment.
• Strategic mindset balanced with sufficient technical proficiency to guide teams through complex customer and deal scenarios.
• Strong collaboration and influencing abilities across sales, product, engineering, and partner teams.
• Experience navigating complex enterprise environments with multiple stakeholders and lengthy sales processes.
• Customer-centric, pragmatic approach paired with sound commercial judgment.

Preferred Experience

• Expertise in data, data engineering, or observability domains.
• History of leading Solutions Engineering teams supporting enterprise or growth sales initiatives.
• Familiarity with cloud platforms and modern data ecosystems such as AWS, dbt, Domo, and Datadog.
• Experience cultivating teams in rapidly growing SaaS environments.
• Ability to coach balancing technical depth with sales velocity and business acuity.
• Educational background in computer science, engineering, mathematics, or related disciplines, or equivalent practical experience.

Success Indicators

• Building a motivated, engaged, and top-performing Solutions Engineering team.
• Enhancing team execution across technical sales processes, coaching, and coordination.
• Elevating the team's ability to establish technical champions and trusted customer partnerships.
• Spreading best practices in discovery, solutioning, demos, and proof-of-concept efforts.
• Injecting clarity, structure, and momentum into strategic opportunities and organizational goals.
• Contributing to immediate pipeline growth and long-term team capability development.