Manager, Sales Engineering

This is a fully remote position, open to applicants in California.

📋 Description

• Lead a team of experienced professionals across various data platform specialties, serving as technical liaisons between Sales Engineering, Sales, Product, and Engineering.

• Assist Global Sales teams by integrating specialist functions to eliminate technical barriers in complex enterprise transactions and enhance customer adoption following the sale.

• Develop strategies to optimize deal velocity and customer adoption by refining specialist engagement, prioritization, and assessment.

• Undertake hands-on activities when necessary, including conducting architecture reviews, participating in critical customer calls, and executing complex proofs of value.

• Provide timely, strategic, and precise guidance during technical evaluations and customer escalations.

• Establish collaborative relationships with Product, Engineering, and other sales teams.

• Mentor team members to enhance their performance and efficiency while preparing them for future opportunities.

• Ensure the dissemination of specialist knowledge across the field through enablement and documentation efforts.

• Keep the team informed on how AI and agentic workloads modify customer requirements and translate that into field guidance.

⛳️ Requirements

• Demonstrated experience in leading and developing a Sales Engineering, Solution Architecture, or similar technical team; experience in people management is preferred.

• Practical expertise in one or more aspects of the data lifecycle, such as database and application replication, SAP, lake and warehouse architectures, transformation, activation, or AI and context engineering.

• Capability to credibly lead specialists in various disciplines; experience applying a more focused specialty across multiple areas is also valuable.

• Proficient in AWS, GCP, and Azure, particularly regarding deployment and connectivity.

• Knowledgeable in modern data architectures, including cloud data warehouses and lakehouses.

• Familiarity with how AI and agentic workloads influence customers' data requirements.

• Competent in utilizing AI tools to enhance both your work and that of your team.

• Extensive experience in Sales Engineering or specialist roles that support intricate enterprise sales cycles, including proofs of value and senior stakeholder engagement.

• In-depth understanding of the broader technical sales and demonstration process.

• Exceptional ability to articulate complex data and AI concepts to both non-technical buyers and technical architects.

• Capacity to influence Product and Engineering priorities based on customer insights.

• Bonus: Previous experience in an analytics, ETL, BI, or open-source data software company.

• Bonus: Familiarity with tools like dbt, Terraform, or similar for transformation and managing cloud infrastructure.

• Bonus: Experience managing distributed teams across various regions and time zones.

• Bonus: Hands-on experience with AI and context engineering, such as LLM applications, MCP, semantic layers, or metadata and retrieval.

• This is a full-time position based in the US.

🏝️ Benefits

• 100% employer-covered medical insurance*

• Generous paid time off, including vacation or flexible/unlimited vacation depending on your role and country, in addition to paid sick leave, inclusive parental leave, paid holidays, including a Global Week of Rest at the year-end, and volunteer days off.

• RSU stock grants*

• Opportunities for professional development and training

• Company-hosted virtual happy hours, complimentary meals, and enjoyable team-building activities

• Monthly cell phone allowance

• Access to an innovative mental health support platform offering personalized care and resources in areas such as therapy, coaching, and self-guided mindfulness exercises for all eligible employees and their covered dependents.

• Equal-opportunity interview accommodations available for candidates in need

• *Benefits may vary by country and worker type - please consult your recruiter for further details.