Why This Role Stands Out
This hybrid role offers a significant opportunity to shape the growth of cutting-edge AI startups by partnering with founders and CTOs, developing your executive relationship skills within a reputable company. You'll thrive here if you're a results-driven hunter with a passion for technology and building strategic partnerships, so consider applying to make a real impact in the dynamic AI landscape.
Quick Overview
Job Description
Position Overview
We are seeking a high-caliber, results-driven Sales Executive to identify, acquire, and grow strategic partnerships with high-growth AI startups across the US, with a primary focus on the Bay Area. In this hunter-focused role, you will act as the principal executive driving new business and long-term engagement. You will partner with founders, CTOs, and Heads of AI/Engineering to solve their scaling, deployment, and infrastructure challenges.
Key Responsibilities
Market Penetration & Hunting: Identify and capture new business opportunities within the fast-paced AI startup ecosystem (Seed to Series D/E).
Strategic Account Planning: Build a robust sales pipeline and execute account strategies that position our services as the primary engineering partner for AI product development and scaling.
Executive Relationship Management: Establish trusted advisory roles with Founders, CTOs, and VPs of Engineering. Lead high-level pitches and business reviews.
Solution Alignment: Partner with our internal AI Architects and Delivery Heads to structure proposals, SOWs, and technical bids that address specific startup needs (e.g., MLOps pipelines, LLM fine-tuning, cloud cost optimization).
Required Qualifications & Background
Experience: 10–15+ years in professional services sales, account management, or business development within the tech services or consulting sector.
Startup Ecosystem Knowledge: Proven track record of networking, selling, and managing relationships within the venture-backed startup ecosystem in the Bay Area.
Domain Fluency: Strong technical fluency in the current AI/ML stack, including:
AI Engineering: LLMs, Generative AI workflows, MLOps, and vector databases.
Cloud/Platform: Google Cloud Platform (Google Cloud Platform) or AWS services relevant to AI scaling (GKE, BigQuery, TPGPUs).
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