KIERAN NAIDU
San Jose
Summary
Data-Driven Sales Operations Specialist with 4+ years of experience driving CRM optimization, forecasting accuracy, competitive intelligence, and cross-functional GTM enablement across high-growth SaaS and media organizations. Proven ability to improve pipeline integrity, automate workflows, implement AI-driven forecasting solutions, and reduce reporting inefficiencies. Deep expertise in Salesforce architecture, sales analytics, dashboard development, and system integrations (Salesforce, Boostr, IronClad, Tableau, Jira).
Overview
4
4
years of professional experience
Work History
Sales Operations Specialist
Lyft
04.2025 - Current
- Built and operationalized a competitive intelligence engine using Sensor Tower data to identify new market opportunities, influencing vertical-specific GTM targeting.
- Incorporated competitive insights into bi-weekly executive performance reporting, improving leadership visibility into market share opportunities.
- Served as SME for Salesforce-Boostr-IronClad workflows, resolving close-won sequencing and contract logic issues, enhancing revenue recognition accuracy.
- Automated IO signer assignment and restricted premature opportunity stage progression via Jira workflow tickets, improving CRM data integrity.
- Engineered enhancements to week-over-week pipeline dashboards in SFDC and Claude, eliminating artificial revenue drops and improving forecast trustworthiness.
- Created business case for Einstein Forecasting implementation, assessing forecast hierarchy, data requirements, and custom revenue field modeling to support data-driven decisions.
- Defined Media Sales account taxonomy (18 industries / 94 sub-industries) to improve segmentation and forecasting accuracy.
- Led cross-functional product launches (i.e. Kantar/Nielsen Brand Study) within Salesforce and Boostr, contributing to improved Media Plans and RFPs.
Revenue Operations Specialist
UserTesting
01.2022 - 10.2024
- Supported global sales, renewals, and services programs across North America, EMEA, APAC, and partner channels to enhance revenue growth.
- Led creation of RevOps Ticketing System in Jira, increasing sales support efficiency by 40% and sustaining 96%+ satisfaction.
- Played key role in Salesforce implementation testing and system migration, accelerating sales cycle speed by 20%.
- Instituted auditing processes to ensure data cleanliness and enhance forecast accuracy for new business and renewals.
- Nearly doubled lead-to-opportunity conversion rate from 4% to 7% through improved lead routing and enrichment (RingLead, LeanData).
- Managed SPIFF and exception tracking to maintain accurate compensation for sales organization, supporting incentive alignment.
- Built and optimized Salesforce reports and Tableau dashboards for revenue leadership.
- Introduced AI-driven training enablement tools, reducing onboarding costs by 15%.
Education
B.S. - Business Administration (Finance)
San Diego State University
San Diego, CASkills
- Salesforce
- CRM Governance
- Pipeline forecasting
- Einstein Forecasting
- Workflow Automation
- Dashboard Development
- Data integrity controls
- Revenue Operations Strategy
- Market intelligence
- GTM Data Analytics
- Sales Data Modeling
- Cross-Functional Leadership
- Process improvement
- Attention to detail
- Customer segmentation
- Boostr
Timeline
Sales Operations Specialist
Lyft
04.2025 - Current
Revenue Operations Specialist
UserTesting
01.2022 - 10.2024
B.S. - Business Administration (Finance)
San Diego State University