Head of Business Development
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About the Role
We're looking for a Head of Business Development to build the BD function at RadixArk from the ground up. The BD team is the institutional memory of this company — maintaining active relationships across every customer we've touched, detecting signals early, and ensuring nothing falls through the cracks. You'll design the system, build the team, and run it.
The role is equal parts relationship and rigor. You'll hold the relationship thread across a broad customer surface while tracking coverage rates, handoff volume, signal trends, and engagement quality — and translating that into clear intelligence for the broader commercial organization.
We move fast, operate with a sense of urgency, and expect the same from everyone on the team.
What You'll Own
Team Building
Hire and develop a BD team; establish the culture, methodology, and cadence for maintaining customer relationships at scale
Define the norms for how the BD team operates — how we track, how we communicate, how we escalate
Own the BD team's contribution to our single source of truth: the shared tracking sheet used by both BD and Adoption
Relationship Coverage
Maintain broad, active relationships across our full customer surface: early adopters, shallow contacts, and gated prospects we haven't yet engaged deeply
Design and run regular check-in rhythms (watching channels) that give us continuous pulse on the market without requiring deep-dive bandwidth from the full team
Provide genuine relational continuity for customers when the Adoption team doesn't have capacity — not just placeholder outreach, but real emotional presence
Downstream Handoff
Identify customers who are ready for deeper engagement and hand them off cleanly to the Adoption team — with full context, no gaps
Ensure raw data on gated customers remains accessible and well-documented so the Adoption team can run market research without starting from zero
Strategy & Intelligence
Serve as the alert system for the company: surface important signals — bad news, emerging trends, inflection points — before they become surprises
Synthesize BD observations into regular summaries and analyses that inform commercial strategy and resource allocation
Own the bidirectional feedback loop between the BD team and the Adoption team — make sure learning flows both ways
Provide guidance on where the company should invest engagement resources and where to pull back
Strategic Partnerships
Lead partnership development with industry leaders, regional leaders, and category leaders or rising stars in the AI infrastructure ecosystem
Own the full partnership lifecycle from prospecting to structuring to activation
Who You Are
Available for a in-office schedule with 5 days per week onsite at our Palo Alto office
10+ years of BD, sales, or partnerships experience, with meaningful time at a high-growth technology company
Proven track record building teams and systems from scratch — you know what it means to create culture and methodology, not just inherit it
Deeply organized and systems-oriented: you think in coverage maps, tracking layers, and signal structures
Strong commercial instincts — you know which customers matter most and how to prioritize attention accordingly
Excellent communicator who builds genuine relationships, not just transactional touchpoints
Comfortable operating at every level: you'll set strategy and do the outreach in the same week
Low ego, high output — you do what it takes to keep the relationship surface warm and the team informed
Experience in developer tools, infrastructure, or deep tech is a strong plus
About RadixArk
RadixArk is an infrastructure-first company built by engineers who've shipped production AI systems, created SGLang (20K+ GitHub stars, the fastest open LLM serving engine), and developed Miles (our large-scale RL framework).
We're on a mission to democratize frontier-level AI infrastructure by building world-class open systems for inference and training. Our team has optimized kernels serving billions of tokens daily, designed distributed training systems coordinating 10,000+ GPUs, and contributed to infrastructure that powers leading AI companies and research labs.
We're backed by well-known infrastructure investors and partner with Nvidia, Google, AWS, and frontier AI labs. Join us in building infrastructure that gives real leverage back to the AI community.
Compensation
We offer competitive compensation with meaningful equity, comprehensive benefits, and flexible work arrangements. Compensation depends on location, experience, and level.
Equal Opportunity
RadixArk is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Available for a in-office schedule with 5 days per week onsite at our Palo Alto office
10+ years of BD, sales, or partnerships experience, with meaningful time at a high-growth technology company
Proven track record building teams and systems from scratch — you know what it means to create culture and methodology, not just inherit it
Deeply organized and systems-oriented: you think in coverage maps, tracking layers, and signal structures
Strong commercial instincts — you know which customers matter most and how to prioritize attention accordingly
Excellent communicator who builds genuine relationships, not just transactional touchpoints
Comfortable operating at every level: you'll set strategy and do the outreach in the same week
Low ego, high output — you do what it takes to keep the relationship surface warm and the team informed
Experience in developer tools, infrastructure, or deep tech is a strong plus
About RadixArk
RadixArk is an infrastructure-first company built by engineers who've shipped production AI systems, created SGLang (20K+ GitHub stars, the fastest open LLM serving engine), and developed Miles (our large-scale RL framework).
We're on a mission to democratize frontier-level AI infrastructure by building world-class open systems for inference and training. Our team has optimized kernels serving billions of tokens daily, designed distributed training systems coordinating 10,000+ GPUs, and contributed to infrastructure that powers leading AI companies and research labs.
We're backed by well-known infrastructure investors and partner with Nvidia, Google, AWS, and frontier AI labs. Join us in building infrastructure that gives real leverage back to the AI community.
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