Sr. Manager - BFSI, Field Engineering

Menlo Ventures; Mumbai; On-site; INR 1,800,000 - 2,500,000; Full time

Benefits offered by this job

Comprehensive benefits

Diversity and inclusion programs

Job summary

Menlo Ventures is seeking a Manager for Field Engineering (Data & AI) in Mumbai, India. You will lead a team that focuses on key customers and guide pre-sales efforts, enhancing team effectiveness in delivering business value.

The ideal candidate has over 6 years of experience in managing technical teams and is knowledgeable in Data Engineering, AI, and Cloud software. This role entails building relationships with C-suite stakeholders and scaling a high-performing team.

Qualifications

• 6+ years of experience in a pre-sales/consulting/customer-facing managerial role.
• Experience managing a team of successful Big Data, Cloud, or SaaS professionals.
• 6+ years in Big Data Architecture and incorporating data engineering and machine learning.

Responsibilities

• Manage hiring and build the solutions architect team.
• Rapidly scale the field engineering organization.
• Coach and mentor the team to enhance their effectiveness.

Skills

Big Data

Cloud technologies

SaaS

Apache Spark

Data Engineering

Machine Learning

Data Science

Team management

Job 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 expansion, you will build and lead a technical pre‑sales team. You will guide and get involved to enhance your team's effectiveness; be an expert at positioning and articulating business‑value‑focused solutions to our customers and prospects; whilst coaching new sales and pre‑sales team members to work together, support various stages of the sales cycles; and build relationships with key stakeholders in large corporations.

Impact & Responsibilities

• 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.

Qualifications

• 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.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please see the benefits information.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.

Compliance

If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.