Databricks: Sales Specialist - Lakebase — Bengaluru, India; Mumbai, India

About Databricks

Databricks develops a platform for data, analytics and AI. Its employer material describes bringing related capabilities together so organisations can build and scale applications, analytics and agents using their information. The advertised platform portfolio includes data-engineering, lakehouse, governance and AI-related products. Its business connects the infrastructure used to manage data with the tools used to derive insights or create applications, rather than treating those activities as entirely separate technology projects.

The position and its setting

Databricks lists Sales Specialist - Lakebase in Bengaluru, India; Mumbai, India, under reference 8477547002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: HQ Management
• Employer listing date: 14 April 2026

Responsibilities and work described

• Drive new Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team
• Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences
• Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders
• Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists
• Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references
• Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape
• Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs
• Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization

Essential requirements and candidate background

• 7+ years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals
• Success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders
• Understanding: modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies
• Sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners)
• Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities
• Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers
• Value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes
• Communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences
• Bachelor’s degree or equivalent practical experience

Preferred experience and additional strengths

• Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts
• Familiarity: data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies
• Understanding: reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications
• Exposure: AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services
• Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives
• Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions

Location, schedule and contract conditions

• Advertised location: Bengaluru, India; Mumbai, India

Benefits mentioned by the employer

• 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 click here

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Sales Specialist - Lakebase vacancy is not an offer for reference 8477547002; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Databricks

Applications follow the official employer page linked below.

Open the official Databricks posting below and match the title and reference 8477547002.

Compare your qualifications and experience with the essential conditions for the Bengaluru, India; Mumbai, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: AWS

For AWS experience, describe the workload and the services you actually configured or operated. Useful detail includes deployment, access controls, monitoring, recovery or cost decisions where those were your responsibility.

Relevant skills

• AWS
• GCP
• Azure
• AI/ML
• Google Cloud
• Excel
• AI
• compliance
• sales
• marketing