Lead technical discovery and commercial execution for strategic AI-native accounts, managing complex deals and building relationships with founders and ML engineers at high-growth startups.
280k – 320k/yr
On-site7+ YOEAccount Executive
About the role
Technical Partnership & Execution
Lead technical and product discovery and conversations with founders, ML engineers, and infra leads.
Work closely with Field Engineering, Applied AI, Product and Research teams to shape tailored solutions, POCs, and fine-tuning approaches.
Translate customer feedback into actionable insights for Fireworks product and engineering with specificity and urgency.
Help customers get live quickly by coordinating onboarding, benchmarking, and integration efforts.
Deal Management & Commercial Execution
Lead structured discovery conversations to unpack customer pain points, constraints, and success criteria before proposing solutions.
Manage multiple concurrent accounts with fast iteration cycles. Prioritize ruthlessly, keep scope tight, and maintain momentum.
Structure and negotiate complex commercial terms.
Actively identify, engage, and qualify new prospects through executive and investor networks, industry events, and partnerships.
Run a disciplined operating cadence with your portfolio of customers: reviewing key trends, driving outcomes, and jointly planning the next phase of the partnership.
Executive Alignment and Ecosystem Presence
Own the relationship with key Strategic AI Native accounts, from first engagement through production deployment. Earn trust with ML engineers and Founders in the same meeting.
Nurture and shape strong executive relationships.
Be a visible representative of Fireworks in the AI startup ecosystem.
Requirements
7+ years of experience as a PM, strategic account executive, VC, or previous management consulting experience focused on serving highly technical buyers and portfolio companies.
Demonstrated ability to run multi-threaded customer engagements: mapping stakeholders, managing commercial cycles, and maintaining deal and relationship momentum.
Technical fluency to lead discovery with ML engineers and infrastructure leads and ability to discuss open-source vs. proprietary models, model tuning, reserved capacity, and compliance requirements.
Thrive in fast-moving environments and love engaging with leading startup founders and builders.
Proactive, persistent, and creative in breaking into accounts and building lasting relationships throughout the organization.
Strong communication skills and can earn trust with both engineers and executives.
Want to be on the front lines of the AI movement and work closely with companies shaping the future.
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