Senior Field Engineering Lead - Solutions Architects & AI

Neon; California (MO); On-site; USD 180,000 - 240,000; Full time

Job summary

Databricks is seeking a Sr. Manager, Field Engineering to lead a team of Solutions Architects for the Startups segment, focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and generative AI.

You will partner with Sales to accelerate revenue and customer success, scaling an efficient Field Engineering team. The role involves hiring, training, and growing the team, maintaining deep knowledge of the Databricks stack, engaging with executives to

Qualifications

• Proven experience building and leading technical pre-sales teams including hiring, onboarding, coaching, and mentoring.
• Experience leading teams in data space with a technical product (data warehousing, big data, machine learning, or generative AI).
• Ability to influence architectures and guide customers toward scalable solutions.

Responsibilities

• Hire, train, and grow a team of Solutions Architects for a company in high-growth mode.
• Make your customers extremely successful with Databricks and provide outsized value to their businesses.
• Establish relationships across the business to make your customers and team successful.
• Keep your team of SAs ahead of the technical curve by ensuring they maintain advanced knowledge of the Databricks technology stack.
• Engage with customers strategically at the Executive Level to drive mutually beneficial outcomes and set GTM strategy.

Skills

Technical leadership

Pre-sales leadership

Data analytics

Generative AI

Executive stakeholder management

Architecture review

Partnerships with SIs/ISVs

Tools

Databricks stack

Job description

Databricks is seeking a Sr. Manager, Field Engineering to lead a team of Solutions Architects for the Startups segment, focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and generative AI.

You will partner with Sales to accelerate revenue and customer success, scaling an efficient Field Engineering team. The role involves hiring, training, and growing the team, maintaining deep knowledge of the Databricks stack, engaging with executives to