Senior Sales Manager, AI Native

Represent Fireworks in the GenAI ecosystem - demo days, meetups, and online communities - and build the team's presence there.

Create a culture of accountability, curiosity, technical depth, and continuous improvement.

What we’re looking for

5+ years of experience in sales or business development selling to technical buyers, with experience managing or formally coaching quota-carrying AEs.

Proven ability to win and grow accounts in a technical, infrastructure, AI, or developer-oriented market - especially consumption or usage-based models.

Strong coaching skills, especially around technical discovery, multi-threading, POC and evaluation management, negotiation, and executive communication.

Comfort operating in an early-stage or high-growth environment where playbooks are still being built.

Ability to understand and explain technical topics like open-source inference, API performance, model tuning, or GPU architecture - and to hold your own with a founder or ML lead.

Strong analytical orientation and ability to use pipeline and consumption metrics to diagnose performance and improve team execution.

Excellent written and verbal communication skills.

High standards for talent, process, and operational rigor.

Ability to partner cross-functionally with Product, Engineering, Applied ML, Marketing, RevOps, and Recruiting.

Genuine enthusiasm for working with startup founders and builders on the front lines of the GenAI movement.

Nice to Have

Experience selling into engineering leaders, product leaders, founders, or AI/ML teams.

Experience supporting AI-native, developer-tooling, data infrastructure, cloud, or open-source GTM motions.

Prior experience building a sales team or segment from an early stage.

Background in a technical or product role before moving into sales leadership.

Familiarity with tools such as Salesforce, Gong, Lemlist, LinkedIn Sales Navigator, Clay, or similar revenue platforms.

What Success Looks Like

The team consistently lands and grows GenAI-native accounts aligned to Fireworks' priority segments.

AEs are technically credible, run rigorous evaluations and POCs, and shorten time from first conversation to production workload.

Consumption in existing accounts grows predictably, with expansion identified from usage data rather than guesswork.

Forecasts are accurate, pipeline is well-inspected, and the operating rhythm is clear to everyone on the team.

New AEs ramp quickly and understand both the technical context and commercial value of Fireworks.

Feedback from the segment reliably reaches product and engineering and shapes what we build.

Location

San Mateo, CA / San Francisco, CA

Why Fireworks?

Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.

Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.

Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.

Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.

Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.