Sales Director, Enterprise

SambaNova is redefining the economics of AI inference. We build AI accelerators and deliver them as rack-scale systems that let enterprises deploy state-of-the-art AI — from the largest open-source models to demanding production workloads — in their own data centers, at speed and efficiency the incumbent platforms can't match.

Financial services is where enterprise AI gets real: the largest institutions in the world are moving AI from experimentation into production, and they need to do it with performance, control, and economics that public cloud consumption can't deliver. We are hiring an Account Director, based in New York, to build and drive a large book of business across US financial services — global banks, capital markets firms, asset managers, and insurers. Reporting directly to the VP of Americas, you will own the number and run every pursuit end to end with high touch: from first executive conversation, through technical and risk validation, to negotiated production deployments. This is a senior, relationship-driven seat for a seller who is already trusted at the executive level in this industry and knows how to move a large institution from interest to commitment.

• Own the financial services number. Build and drive the book of business across US financial institutions — named accounts and expansion alike. You carry the quota and the account strategy.
• Sell high and wide. Open and cultivate relationships with CIOs, CTOs, heads of AI/ML, and line-of-business executives. Deals in this segment are won in the executive suite and defended in the architecture review — you operate credibly in both.
• Run the full pursuit end to end, high touch. Qualify rigorously. map the buying committee — technology, risk, procurement, finance — build the win plan, and personally drive every stage from discovery through commercial close.
• Navigate the institution. Understand how large financial institutions actually adopt technology: model risk management, information security review, vendor risk, data residency, and regulatory posture. Anticipate these gates and build them into the deal plan rather than discovering them in month nine.
• Sell the business case. Position on-premises AI deployment in terms the institution's economics: cost versus public cloud consumption at production scale, data control, latency, and the ability to run frontier open-source models inside their own walls.
• Lead the pursuit team. Partner with Solutions Architects on technical validation and POCs, and orchestrate SambaNova executives into accounts deliberately and at the right altitude.
• Build the segment playbook. Define the repeatable financial services motion — use cases, references, deal constructs — and lay the foundation for the enterprise team as it scales, with the opportunity to lead it.
• Forecast with discipline. Own pipeline integrity and forecast accuracy for the segment, and bring structured market and competitive intelligence back to sales and product leadership.

• 10+ years of quota-carrying enterprise technology sales with a substantial track record selling into US financial services — banks, capital markets, asset management, or insurance — including large, complex infrastructure or platform deals.
• Established senior relationships in the sector: you can open doors at the CIO/CTO and head-of-AI level at major institutions today, not build toward them.
• Command of long-cycle, multi-stakeholder enterprise pursuits — technology, risk, compliance, procurement, and executive sponsors in parallel — with deal values in the seven to eight figures.
• Working fluency in AI and data center infrastructure: how enterprises evaluate compute, where inference workloads are heading, and the tradeoffs between public cloud, private deployment, and hybrid.
• Familiarity with the governance realities of financial institutions — model risk, information security review, vendor onboarding — and a record of getting deals through them.
• Executive presence: you represent the company credibly with C-level customers and partner naturally with our own executives in strategic pursuits.

• Existing relationships across multiple top-20 US financial institutions.
• Experience selling AI infrastructure, accelerated compute, or on-premises platforms into regulated industries.
• Experience displacing or selling against public cloud consumption with an on-premises or hybrid economic case.
• A track record of landing a new vendor inside a major bank — first deal through vendor risk, then expansion.
• History of building or leading an enterprise segment as it scaled.