Business Development Manager, Enterprise

Overview

We're hiring our first Business Development Manager to own and expand the PrismaX pipeline. This is intentionally a broad BD seat, not a narrow quota-carrying sales role: sometimes it's a straight data deal, sometimes it's a partnership that opens a market before any dollar value is attached. You'll find where demand is in a fast-moving industry, close it, and bring the field's feedback back into our roadmap.

You will

• Build the pipeline from scratch. Stand up our entire sales funnel and go-to-market motion from the ground up: sourcing, qualification, process, and forecasting.
• Own the playbook. Define the sales methodology, process, and messaging yourself. We give direction on which markets; the how is yours.
• Drive full-cycle sales. Identify, qualify, and close high-value partnerships with AI foundation model companies, robotics labs, and data-collection firms, including well-funded stealth and early-stage shops, not just established enterprises.
• Problem solve. Take on difficult, ambiguous customer requirements and translate them into structured data collection solutions based on what PrismaX has to offer.
• Build high-trust relationships. Partner with Heads of AI and Engineering Directors to influence their long-term data strategy.
• Operate autonomously. Have full ownership of your pipeline and outcomes. We support our team, but you will have broad latitude to run as you get up to speed.
• Collaborate cross-functionally. Partner with our Product and Engineering teams to make sure feedback from the field is baked into the PrismaX roadmap.

You must have

• Bachelor's degree or higher from a top-tier university.
• Proven BD experience (4+ years) within high-growth Silicon Valley ecosystems, preferably within AI, SaaS, or high-growth tech.
• A proven track record of closing high-stakes, large-scale enterprise deals.
• Bay Area presence. You should be able to host local events and meetups to connect with prospects and build presence in the Bay's physical AI community.

Ideally, you would have

• The “athlete” mindset. The ability to run on your own in a rapidly changing industry during a period of hypergrowth, and an understanding of how training data distribution affects model performance.
• Technical depth. Technical familiarity with modern foundation model architectures and the underlying statistical principles.
• Outcome orientation. A history of being scrappy when it counts, and flexibility to accept a deliverable-based salary.