Cohesity
Senior AI Sales Specialist
Hong Kong - Remote · Cohesity - Singapore
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- Seniority
- Senior
- Countries
- HK, SG
- Work mode
- On-site / unstated
- First seen by hirly
- 21 Sept 2026
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the posting
Cohesity is the leader in AI-powered data security. Over 13,600 enterprise customers, including over 85 of the Fortune 100 and nearly 70% of the Global 500, rely on Cohesity to strengthen their resilience while providing Gen AI insights into their vast amounts of data. Formed from the combination of Cohesity with Veritas’ enterprise data protection business, the company’s solutions secure and protect data on-premises, in the cloud, and at the edge. Backed by NVIDIA, IBM, HPE, Cisco, AWS, Google Cloud, and others, Cohesity is headquartered in Santa Clara, CA, with offices around the globe.
We’ve been named a Leader by multiple analyst firms and have been globally recognized for Innovation, Product Strength, and Simplicity in Design , and our culture .
Want to join the leader in AI-powered data security?
Cohesity is the leader in AI-powered data security. Over 13,600 enterprise customers, including more than 85 of the Fortune 100 and nearly 70% of the Global 500, rely on Cohesity to secure and activate their data. Backed by NVIDIA, IBM, HPE, Cisco, AWS, Google Cloud, and others, Cohesity is headquartered in Santa Clara, CA, with offices around the globe. GAIA is Cohesity’s enterprise AI platform for unlocking the value of unstructured data across the Cohesity Data Cloud. It helps customers securely search, understand, summarize, and reason across current and historical enterprise information, while preserving permissions, provenance, and governance. GAIA also provides a foundation for agentic AI by making trusted enterprise context available to AI applications, copilots, and agents - helping customers move from simply protecting data to using it as a strategic source of intelligence and action.
Why now: This role is a founding GTM role in Cohesity's new AI Business Unit. GAIA is where the market is heading - enterprises secured their data with us; now they want to activate it for AI.
You'll build the sales playbook on top of 13,000 existing customers and co-sell muscle from NVIDIA and the hyperscalers, carrying a brand-new number in a market that's just opening. Ground floor, executive air cover, and a partner ecosystem already generating pipeline.
The Senior AI Sales Specialist role is based out of Hong Kong and responsible for APJ region.
HOW YOU’LL SPEND YOUR TIME HERE
- Own GAIA revenue number across product/infrastructure and consulting-advisory bookings for APJ (you generate it, you carry it, you close it).
- Be the AI subject-matter resource in data architecture, use cases, deployment models, and the business case behind them, credible enough to hold the room with a C-level.
- Build pipeline, partner with marketing, SDRs, and field sales on daily and weekly outbound across multiple channels
- Identify, qualify, develop, and close AI opportunities by working existing field relationships and building new ones with your own network.
- Build and deliver executive-quality pitch decks, proposals, and business cases that translate the technology into a value story specific to the account.
- Blend product/infrastructure opportunities with consulting and advisory engagements into multi-phase account plans.
- Work on the AI partner ecosystem with NVIDIA, the hyperscalers, infrastructure OEMs, and emerging AI vendors.
- Run disciplined pipeline hygiene: accurate CRM, honest stage progression, forecasts people can plan against.
- Pipeline reviews and cadence calls on market intel, competitive read, what worked and what didn't.
- Attainment of assigned AI revenue quota across product, infrastructure, and consulting/advisory bookings.
- Pipeline generation volume, velocity, and conversion against regional targets, plus growth in account participation.
- Services attach on AI engagements
- Field collaboration: joint pipeline generated with account teams, inclusion in account planning, field satisfaction.
- Partner co-sell: deal registrations earned, joint pipeline built with AI partner sales teams, win-rate impact.
- Win rate on competitive deals you led the pitch on.
- CRM accuracy and forecast reliability.
WE’D LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING:
- 10-12 years of proven quota-carrying technology sales track record experience, with 2-3 years specifically selling AI products to C-levels of large enterprises.
- A demonstrated track record generating your own pipeline in complex, multi-stakeholder enterprise accounts
- Working fluency in the AI landscape: platforms, deployment models, use cases, value drivers, and where the risk actually sits.
- Experience selling both product/infrastructure and consulting-advisory engagements to enterprise, data-driven, or high-growth technology customers.
- Proven ability to build and deliver executive-grade decks and proposals that hold up in front of a buying committee.
- Comfort operating in a co-sell/specialist model driving the AI motion.
- Prior specialist overlay experience at a data infrastructure, cloud, or AI platform vendor.
- Comfort working a co-sell motion with NVIDIA, AWS, Azure, or GCP field teams.
- Bachelor's degree.
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Equal Employment Opportunity Employer (EEOE)
Cohesity is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at 1-855-9COHESITY or talent@cohesity.com for assistance.
In-Office Expectations
Cohesity employees who are within a reasonable commute (e.g. within a forty-five (45) minute average travel time) work out of our core offices 2-3 days a week of their choosing.
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