Senior Marketing Operations Analyst - India
Quick Summary
Build, QA, and send emails in Marketo from intake requests: template setup, token population, smart list configuration, scheduling,
If you don’t think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we’re looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others.
About the Role
~1 min readKong's Marketing Operations team is the operational backbone of the go-to-market engine. This role is built around execution, but it doesn't stop there. You'll own the day-to-day intake queue, turning marketer requests into clean, accurate, on-time programs in Marketo. And you'll bring enough curiosity and systems thinking to spot what's inefficient, broken, or worth automating, and say something about it.
You'll work closely with a globally distributed team supporting the systems, processes, and data infrastructure that connect marketing activity to pipeline.
Responsibilities
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Build, QA, and send emails in Marketo from intake requests: template setup, token population, smart list configuration, scheduling, and send confirmation
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Process list imports end-to-end: field normalization, deduplication checks, schema mapping, and load validation against Salesforce
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Build audience segments and smart lists for campaign targeting based on marketer-provided criteria; validate logic before use and flag coverage gaps
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Maintain lead flow integrity for records touching your work: lifecycle stage accuracy, routing correctness, and Marketo-SFDC sync health
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Handle operational workflows including suppression list updates, unsubscribe management, and compliance record corrections
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Identify recurring patterns in the intake queue and propose process improvements or automation before someone has to ask twice
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Document execution workflows and build repeatable checklists so output quality stays consistent at volume
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Stay current on marketing automation capabilities and adjacent GTM tooling; bring ideas back and pressure-test them against real use cases
4-6+ years in marketing operations, revenue operations, or a GTM systems role
Strong hands-on Marketo experience: email execution, smart lists, tokens, program architecture, and troubleshooting
Working knowledge of Salesforce: enough to validate sync behavior, catch attribution gaps, and escalate when something doesn't land correctly
Comfort with data: list hygiene, field normalization, deduplication logic, and compliance requirements (GDPR, CAN-SPAM)
A process improvement instinct: you see how something works and immediately think about how it could work better
High accuracy and attention to detail; you QA your own work before it goes live and own the fix when it doesn't
Ability to manage a queue of concurrent requests, prioritize effectively, and communicate proactively when something is blocked
Comfortable working autonomously and asynchronously with a globally distributed team
Nice to Have
~1 min readExperience with HTML email editing
Hands-on experience with GTM orchestration or workflow automation tools such as Clay, Zapier, or similar
Familiarity with data platforms like Snowflake or BI tools like Tableau
Exposure to lead scoring models and attribution methodology
Background in B2B SaaS or a technical product environment
Someone who takes pride in execution quality and doesn't let a request go out the door with a broken link or the wrong segment. Who also notices when the same type of request comes in for the tenth time and asks whether it should be automated instead. The work is high-volume and detail-intensive, and the best person in this role will do it well while quietly making it easier for everyone around them.
#LI-SP1
Kong Inc., the AI Connectivity Company, is building the connectivity layer of AI. Trusted by the Fortune 500® and AI-native startups alike, Kong’s unified API and AI platform enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI traffic — on any model, any cloud. For more information, visit www.konghq.com.
Location & Eligibility
Listing Details
- Posted
- June 16, 2026
- First seen
- September 25, 2026
- Last seen
- September 26, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 14%
- Scored at
- September 25, 2026
Signal breakdown
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