Sr. Manager, Field Engineering - High Tech and MFG
$192,100–$264,175 year
On-siteSan Francisco, California, United States
Job Summary
Manage a team of Solutions Architects for the Manufacturing and HiTech Enterprise Segment, focusing on enterprise software, big data/analytics, and AI. Partner with Sales leadership to hit revenue and consumption targets while ensuring customer success. Hire, train, grow, and maintain a bar-raising team by establishing robust hiring pipelines and addressing performance issues. Lead technical qualification, proof of concepts, architecture discussions, and product demonstrations to guide customers toward scalable solutions. Keep your team ahead of the technical curve through continuous learning and advanced knowledge of the data+AI technology stack. Build positive team culture and foster working relationships between Field Engineering, Sales, and internal partners like Product Management and Engineering.
Required Qualifications
- 3+ years of experience building and leading technical pre-sales teams - hiring, onboarding, coaching, and enabling pre-sales professionals
- 7+ years of experience in the Data + AI space with a technical product (i.e., data warehousing, big data, data science, machine learning, or AI)
- A deep technical understanding of the impact that Data + AI can drive within various industry segments
- Technical competence to earn the trust of Engineering talent and leadership at Databricks
- Trusted advisor to technical executives who guide strategic data infrastructure decisions
- Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations
- Experience hiring pre-sales professionals, ramping them up to be successful, promoting them into larger roles, identifying and addressing performance issues, and implementing improvement plans
- Experience working with other teams such as Product Management, Engineering, and Customer Success
- Demonstrated architectural influence. Able to influence and review complex architectures, guiding your team and customers toward ideal solutions that scale
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