Business Operations Associate
Databricks · Bengaluru, India; Mumbai, India · Sales Operations · listed May 22, 2026
The shape of it
Seniority
Entry level
Experience asked
5–8 years
Where
Not stated
Requirements listed
9
Length
1,149 words
In the posting’s own words
The Partner Strategy & Operations team supports Databricks' robust ecosystem of Cloud, SI, and ISV partners, working with the Databricks Partnerships team. Our team is laser-focused on driving operational scale in an extremely high-growth environment. We empower our stakeholders and senior leadership with the insights, tools, and decision criteria to inform proactive, effective, and data-driven programmatic strategies.
What it asks for · 9
- You take an AI-first, builder approach to operations. You build AI-powered solutions - automated dashboards, workflow automations, and decision-support tools - to accelerate analysis, streamline workflows, and reduce manual toil. You exercise sound judgment to validate AI outputs and refine solutions over time. You are always looking for ways to work smarter, not harder
- You are passionate about business process mapping, optimization, and automation. You can document current-state workflows, identify inefficiencies and cross-functional dependencies, design scalable improvements, define success metrics, and assess upstream/downstream implications on adjacent teams
- You are technical and proficient in SQL, reporting, and Salesforce. Whether it's building a Salesforce report, querying large datasets with SQL, or creating dashboards for stakeholders, data is a core part of your toolkit. You are proficient with 2+ complex systems that span beyond your team (e.g., Salesforce, JIRA, Databricks SQL, partner portals) and understand integrations, data flows, and dependencies between them
- You have strong attention to detail and a strong grasp of data quality principles. You own data cleansing, audits, and validation efforts to ensure accuracy and consistency across systems and reporting
- You apply business and functional context - Databricks' GTM model, partner ecosystem dynamics, and financial implications - to make recommendations aligned to company priorities and assess cross-functional trade-offs
- You excel in a collaborative, cross-functional environment. You regularly influence Directors and Sr. Directors and can navigate dependencies, bottlenecks, and trade-offs across Partner Sales, Partner Engineering, Alliances, and Finance
- You have a bias for action and take ownership. You scope and lead mid-sized, moderately complex, or ambiguous projects independently, balance multiple priorities, and drive workstreams to completion with minimal direction
- You have excellent written and verbal communication skills. You can create Director+ level presentations, decision documents, and proposals that clearly outline scope, objectives, outcomes, and asks
- You have 5–8 years of experience in operations, business operations, partner operations, or strategy & operations. You have experience working across 2+ functions at an enterprise technology or cloud/SaaS company
Also a plus
- Experience in PRM, cloud/SaaS, data platform, or enterprise software
- Familiarity with partner ecosystem models and GTM motions (SI, ISV, cloud, technology partners)
- Familiarity with PRM platforms (e.g., WorkSpan, Salesforce) for managing co-sell motions
- Experience in Co-sell & Pipeline Collaboration
- Exposure to workflow automation tools or experience contributing to approval and notification automations
- Experience with BI/analytics tools (Databricks SQL, Looker, Tableau)
- Exposure to JIRA, Confluence, or similar project management tools
- Basic Python or scripting for data manipulation and automation
What the job covers
- Identify manual bottlenecks, then design and build automation to streamline internal partner workflows
- Create standardized, automated playbooks for repeatable partner processes
- Own business and technical requirements for Salesforce and JIRA enhancements, partnering with IT to address gaps, improve system interoperability, and reduce manual overhead
- Define success metrics for process changes and assess upstream/downstream implications on adjacent teams before rolling out improvements
- Connect Legal, Finance, and Marketing tasks through automated project tracking systems
- Coordinate with IT to prioritize infrastructure updates that support automation goals
- Own data integrity initiatives through data cleansing, audits, and governance across partner datasets
- Build AI-powered solutions (e.g., approval workflows, scoring models, notification systems, automated dashboards) to improve efficiency and reduce manual work
- Build self-serve reporting and respond to escalated data inquiries across leads, pipeline, partner performance, and specializations
- Lead project intake, discovery, and requirements gathering for new Partner Ops and GTM initiatives
- Drive cross-functional initiatives from intake through delivery, proactively resolving blockers and dependencies across IT, GTM, Legal, Finance, and Marketing
- Regularly influence Directors and Sr. Directors with data-backed recommendations and sound judgment
Tools and skills named
Go to market
- Salesforce5×
- Go-to-market4×
- SaaS2×
- Partnerships
Data
- Databricks7×
- Looker
- Tableau
Ways of working
- Cross-functional6×
- Jira3×
Languages
- SQL4×
- Python
Operations & finance
- Excel
- Project management
Words the posting leans on
- partner25×
- data12×
- automation8×
- operations8×
- tools7×
- workflows7×
- cross-functional6×
- directors6×
- experience6×
- systems6×
- business5×
- project5×
- reporting5×
- salesforce5×
- build4×
- dependencies4×
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