Sales Director, Enterprise

SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value.

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.

What you'll be doing

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.

What we need to see

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 he …