Manager, Field Engineering

Databricks

6 - 11 years

9 - 13 Lacs

mumbai

Posted:-1 days ago| Platform:

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san spark diversity and inclusion machine learning cloud presales data analytics big data field engineering financial services

Work Mode

Work from Office

Job Type

Full Time

Job Description

Manage hiring, building the Pre-Sales team consisting of Solutions Architects in the Data & AI domain.
Rapidly scale the designated Field Engineering segment organisation without sacrificing calibre.
Build a collaborative culture within a rapid-growth team. To embody and promote Databricks customer-obsessed, teamwork and diverse culture.
Support increasing Return on Investment of SA involvement in sales cycles by 2-3x over 18 months.
Promote a solution and value-based selling field-engineering organisation.
Coach and mentor the Solutions Architect team to understand our customers business needs and identify revenue potential in their accounts.
Interface with leadership & C-suite stakeholders at strategic customers in the assigned region to position the strength of Databricks, the comprehensive solutions strategy, and build trust and credibility in the account.
Build Databricks brand in India in partnership with the Marketing and Sales team
Bring the experience, priorities, and takeaways of the field engineering team to the planning and strategy roadmap of the organisation.

What we look for:

6+ years 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 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
Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
Knowledgeable in Apache Spark / Databricks ecosystem

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