Cohesity
Senior AI Sales Specialist

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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?
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.
HOW YOU’LL SPEND YOUR TIME HERE
- Own GAIA revenue number across product/infrastructure and consulting-advisory bookings for your territory — you generate it, you carry it, you close it.
- Be the AI subject-matter resource in every deal you touch — data architecture, use cases, deployment models, and the business case behind them, credible enough to hold the room with a CAIO, CDO, or VP of AI.
- Build pipeline, Partner with marketing, SDRs, and field sales, but don't wait on them — daily and weekly outbound across multiple channels is part of the job, not a fallback.
- 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 — not a template with a logo swapped in.
- Blend product/infrastructure opportunities with consulting and advisory engagements into multi-phase account plans — the first deal should set up the next one.
- Work the AI partner ecosystem for your region — NVIDIA, the hyperscalers, infrastructure OEMs, and emerging AI vendors — for joint pipeline, co-sell motion, and deal registration.
- Run disciplined pipeline hygiene: accurate CRM, honest stage progression, forecasts people can plan against.
- Show up in cadence calls and pipeline reviews with something useful — market intel, competitive read, what worked and what didn't — not just a status update.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Experience
WE’D LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING:
- 10-12 years of quota-carrying technology sales experience, including time in a specialist selling role, with 2-3 years specifically selling AI products to VP of AI, CAIO, CDO, or equivalent buyers.
- Infrastructure selling experience — you know what it takes to get a platform decision made, not just a point-tool purchase.
- A demonstrated track record generating your own pipeline in complex, multi-stakeholder enterprise accounts — hunter, not order-taker.
- Working fluency in the AI landscape: platforms, deployment models, use cases, value drivers, and where the risk actually sits. This is a business-value and consultative-selling role, not a hands-on technical practitioner seat.
- 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 — you drive the AI motion, field account teams own the primary relationship, and you make that partnership work.
- Disciplined CRM and forecasting habits. If it's not in the system, it doesn't count.
- Bachelor's degree required.
WE ARE EXTRA EXCITED IF YOU HAVE ANY OF THE FOLLOWING:
- Existing relationships with CAIOs, CDOs, or VP-of-AI buyers at Fortune 500 or high-growth East Coast enterprises.
- 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.
- Language capability matched to the assigned territory (e.g., Arabic for Emerging/Gulf accounts, Mandarin/Cantonese for APJ) is strongly preferred; business-level English is required for all positions.


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HOW YOU WILL BE MEASURED
- 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 — labs, deployment, consulting/advisory — that build multi-phase account plans.
- 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.
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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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