Partner Sales Manager (Databricks / Salesforce / Data & AI Ecosystem)

CelerityHat Inc.

India

Remote

INR 1,500,000 - 2,500,000

Full time

23 hours ago
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Job summary

CelerityHat Inc. is seeking a driven Partner Sales Manager to expand strategic relationships with Salesforce, Databricks, Snowflake, cloud partners, SI’s and ISVs. The role focuses on generating qualified opportunities, co-selling programs, and revenue through partner ecosystems.

US evening shifts are required, with India-based remote work options. You will develop enterprise partnerships, build joint GTM strategies, and collaborate with cross-functional teams to drive success across AI, cloud,

Qualifications

  • 5–7 years of B2B technology sales experience.
  • Experience selling through or to ecosystem partners.
  • Experience managing strategic alliances rather than only inside sales.
  • Proven track record of exceeding revenue targets.

Responsibilities

  • Develop relationships with Databricks, Salesforce, and cloud ecosystem partners.
  • Build joint GTM strategies and co-selling initiatives.
  • Generate qualified enterprise opportunities through partner channels.
  • Work with Sales, Marketing, and Delivery teams of clients.
  • Manage executive-level stakeholder relationships.
  • Track partner pipeline and revenue targets.
  • Represent the company at conferences, webinars, and events.
  • Collaborate on solutions around AI, Data Engineering, Cloud Migration, Analytics, and Digital Transformation.

Skills

B2B tech sales
Ecosystem partnerships
Strategic alliances
Exceeding revenue targets
Partner ecosystem networks
Communication & negotiation

Job description

India (Remote) | Remote (US Evening Shift)


About the job

We are looking for a highly driven Partner Sales Manager to build and expand strategic relationships with Salesforce, Databricks, Snowflake, cloud partners, system integrators, and ISVs. The role focuses on generating qualified opportunities, building joint go-to-market programs, and driving revenue through the partner ecosystem. (US/Evening Shift – 5pm – 2am | 6pm – 3am | 7pm – 4am).

Key Responsibilities
  • Develop relationships with Databricks, Salesforce, and cloud ecosystem partners across the field and field leadership teams
  • Build joint GTM strategies and co-selling initiatives
  • Generate qualified enterprise opportunities through partner channels
  • Work closely with Sales, Marketing, and Delivery teams of CelerityHat’s clients
  • Manage executive-level stakeholder relationships
  • Track partner pipeline and revenue targets
  • Represent the company at conferences, webinars, and industry events
  • Collaborate on solution positioning around AI, Data Engineering, Cloud Migration, Analytics, and Digital Transformation
  • Responsible for periodical KPI reporting for each partner being managed
Experience & Background
  • 5 – 7 years of B2B technology sales experience
  • Experience selling through or to ecosystem partners
  • Experience managing strategic alliances rather than only inside sales will be preferred
  • Proven track record of exceeding revenue targets
Network & Relationships
  • Strong network across one or more ecosystems like Databricks, Salesforce, Snowflake, AWS, etc.
  • Ability to work with CXOs, Practice Heads, Delivery Leaders, and Partner Managers
  • Existing relationships within the Salesforce or Databricks ecosystem (preferred)
Technical & Domain Exposure
  • Strong understanding of Databricks, Snowflake, Microsoft Fabric, or AWS
  • Exposure to AI, Data Engineering, Cloud, Analytics, or Digital Transformation services
  • Exposure to Salesforce products: Agentforce, Data Cloud, MuleSoft, Tableau, or similar technologies, or
  • Familiarity with GenAI, Agentic AI, Data Lakes, or Lakehouse architecture (preferred)
Other Requirements
  • Excellent communication, negotiation, and relationship management skills
  • Comfortable representing the company at events such as Dreamforce, World Tours, Databricks Data + AI Summit, and regional partner events
  • Experience working with cross-functional global teams (preferred)
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