Sr. Manager, Field Engineering - Public Sector (Intel, Navy, Air Force)
Leads a team of Solutions Architects serving Intelligence Community, Navy, Air Force, and Space Force customers. Drives technical sales strategy, hires and trains SAs, and ensures customer success with Databricks data/AI platforms. Requires 5+ years in data technologies or IC/DoD missions.
About the job
Responsibilities
- Lead and promote a dynamic team of Solutions Architects focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing, and generative AI.
- Partner with Sales and other Field Engineering teams to increase revenue and ensure customer success.
- Set vision and strategy alongside the sales Director to accelerate transformative outcomes for IC and DoD customers.
- Hire, train, lead, and grow the Solutions Architect team.
- Maintain a robust hiring pipeline and establish cross-functional relationships.
- Keep the team ahead of the technical curve through continuous learning.
Requirements
- Proven experience building and leading technical pre- or post-sales teams, including hiring, onboarding, and enabling professionals.
- 5+ years of experience in the data space with technical products (data warehousing, big data, machine learning, generative AI) OR 5+ years in mission-focused IC/DoD technology roles.
- Trusted advisor to technical executives on strategic data infrastructure decisions.
- Lead teams through technical qualifications, validations, architecture discussions, and product demonstrations.
- Strategic mindset focused on driving customer outcomes.
- Experience hiring top talent, ramping them up, and promoting into larger roles.
- Create positive team morale and foster relationships with Sales, Product Management, Engineering, and Customer Success.
- Technical and business skills to earn trust of Engineering leadership.
- Demonstrated architectural influence to guide complex architectures toward scalable solutions.
Compensation
- Local Pay Range: $192,100—$264,175 USD
- May include annual performance bonus, equity, and benefits.
Skills
Databricks, Big Data, Data Engineering, Data Science, Data Warehousing, Generative AI, Machine Learning, Spark, Delta Lake, MLflow, Solutions Architecture, Pre-Sales, Technical Sales
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