Description
As a Manager, Field Engineering (Data & AI), you will lead a team of Solutions Architects focusing on large & strategic customers in India. You will help lead our team in India's expansion, build and lead a technical pre-sales team. Your responsibilities will include:
- Managing hiring and building a Pre-Sales team of Solutions Architects in the Data & AI domain.
- Rapidly scaling the designated Field Engineering segment organisation without sacrificing calibre.
- Building a collaborative culture within a rapid-growth team, promoting Databricks' customer-obsessed, teamwork, and diverse culture.
- Supporting increasing Return on Investment of SA involvement in sales cycles by 2-3x over 18 months.
- Promoting a solution and value-based selling field-engineering organisation.
- Coaching and mentoring the Solutions Architect team to understand customers' business needs and identify revenue potential in their accounts.
- Interfacing with leadership & C-suite stakeholders at strategic customers to position Databricks' strength and build trust and credibility.
- Building Databricks' brand in India in partnership with the Marketing and Sales team.
- Bringing the experience, priorities, and takeaways of the field engineering team to the planning and strategy roadmap of the organisation.
We look for candidates with:
- 6+ years of experience in a pre-sales / consulting / customer-facing managerial role, developing, managing, and building a team of successful Big Data, Cloud, or SaaS professionals.
- Experience working with strategic Banking / Financial Services / Digital Enterprise accounts generating +$1M ARR.
- 6+ years of experience in Big Data Architecture incorporating components of Data Engineering / Data Warehouse / Machine Learning / Data Science.
- Experience in scaling and mentoring field and technical teams managing both in-person and remote working models.
- Knowledge and passion for data-driven decisions, AI, and Cloud software models.
- Knowledge of Apache Spark™ / Databricks ecosystem.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://job-boards.greenhouse.io/databricks/jobs/8438779002