Databricks: Partner Enablement Operations Manager — Bengaluru, India; Mumbai, India

Databricks lists a Partner Enablement Operations Manager opening in Bengaluru, India; Mumbai, India. The job description covers Excel, AI, compliance, training, stakeholder management.

Recruitment overview

OrganisationDatabricks
Post / rolePartner Enablement Operations Manager
DepartmentField Engineering - Enablement
Employment typeNot specified
Notification / job ID8644000002
Job locationBengaluru, India; Mumbai, India
Work arrangementNot specified
Educational qualificationSee the employer’s role-specific qualification criteria
Experience required10+ years of experience in Learning Operations, Program Management, Professional Services Operations, or a related operational leadership field in a high-growth technology environment
Salary / stipendSee employer notice for pay details
Last date to applySee official notice

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 Partner Enablement Operations Manager in Bengaluru, India; Mumbai, India, under reference 8644000002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

  • Department: Field Engineering - Enablement
  • Employer listing date: 4 August 2026

Responsibilities and work described

  • Own the partner enablement operating model, including core planning cadences, governance mechanisms, and execution frameworks that connect strategy to execution
  • Run QBRs, MBRs, and executive reviews for partner enablement leadership, using clear metrics and forward-looking insights to drive accountability and decision-making
  • Leadership: end-to-end execution of partner enablement initiatives, ensuring timelines, dependencies, and deliverables are managed effectively across functions and regions
  • Building: and maintain dashboards and operating reviews that surface partner engagement, program performance, risk signals, and areas requiring intervention
  • Act as a key point of contact for cross-regional operational issues and escalations, resolving immediate friction while converting recurring issues into structural improvements
  • Design: and implement scalable workflows, SOPs, SLAs, and intake mechanisms that improve consistency, reduce manual effort, and create a better experience for internal stakeholders and partners
  • Introduce AI-enabled and automation-first workflows for intake, reporting, support, certification, and partner operations where they can safely improve speed, quality, and scale
  • Collaboration: closely with the Partner organization, Learning and Enablement, Professional Services, and other cross-functional teams to remove friction and improve execution across the partner ecosystem
  • Partner closely with the broader operations business to drive cross-functional leverage of ideas and excellence, ensuring new methods and operational innovations are scaled beyond just partner operations
  • Establishment: clear ownership models, decision rights, and governance guardrails to support regional nuance without creating shadow processes or operational inconsistencies
  • Architecture: and maintain automated intake management workflows and SLA tracking mechanisms to optimize request processing and eliminate wait-time bottlenecks
  • Establishment: standardized metric definitions and executive reporting frameworks that pair activity and outcome indicators to ensure reporting integrity across cross-functional teams

Essential requirements and candidate background

  • 10+ years of experience in Learning Operations, Program Management, Professional Services Operations, or a related operational leadership field in a high-growth technology environment
  • Experience supporting global or multi-region teams and translating central strategy into executable operating plans
  • Demonstrated ownership of operating cadence, forecasting, planning, and execution frameworks in a complex, matrixed environment
  • Analytical capability and the ability to turn data into executive insight, operational decisions, and measurable business outcomes
  • Experience improving processes and workflows, with a clear track record of reducing manual effort and increasing scale through automation or AI-enabled solutions
  • Stakeholder management skills and the ability to influence senior leaders across functions without direct authority
  • Work independently, manage priorities across time zones, and drive execution in ambiguous, fast-moving environments
  • Must be open to working a flexible schedule, including frequent late hours to accommodate discussions with the broader enablement team and partner liaisons, the majority of whom are based in the AMER timezone
  • Drive cross-functional alignment and lead strategic delivery across matrixed global organizations
  • Experience designing and optimizing workflow automation, structured intake management, and operational reporting engines with strict metric definition discipline

Preferred experience and additional strengths

  • Preferred experience in the Data & AI space, with a understanding of Databricks' platform capabilities, key differentiators, and end-to-end solutions, and the ability to work effectively with technical stakeholders
  • Experience: partner enablement, customer education, learning operations, or training operations
  • Deep expertise working with and for System Integrators (SIs) and ISVs, with a grasp of their core operational principles and business models
  • Fluency: AI tools, workflow automation, and analytics platforms used to streamline operations and generate actionable insights
  • Commercial and operational acumen, including comfort with utilization, forecasting, partner spend, margin thinking, or RevOps-aligned execution
  • Experience operating in a highly matrixed international environment with sensitivity to regional and cultural nuance

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

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Partner Enablement Operations Manager vacancy is not an offer for reference 8644000002; 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 8644000002.

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: Excel

Excel examples should identify the task, the data and the checks used to avoid an incorrect result. Explain whether you built a reporting workbook, reconciled records, automated a process or maintained an existing model.

Relevant skills

  • AI/ML
  • Excel
  • AI
  • compliance
  • training
  • stakeholder management

Important links

Official notification / job descriptionOpen official page

Read the complete official notice before applying. Availability and requirements can change.

For corrections, see our editorial policy and contact information.