> Markdown version of [/jobs/ext/4617145-principal-ai-sales-specialist](https://www.wearedevelopers.com/jobs/ext/4617145-principal-ai-sales-specialist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal AI Sales Specialist - **Company:** Cohesity, Inc. - **Location:** New York, NY, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Data Architecture, Data Infrastructure, AI Platforms, Data Analytics - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25304_65c0d49df1ca7d58ead0ba62a8343300 ## About the Role * 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. * Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support decision making. * Professional English language proficiency for customer and internal communication., * 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. ## Description * 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., * 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.