Director, AI Compute Competitive Intelligence

Nscale; New York (NY); On-site; USD 220,000 - 380,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Flexible PTO

Parental leave

Retirement plan

Bonus eligibility

Equity option

Job summary

Nscale is seeking a Director of Competitive Insights to translate market moves into field‑ready playbooks and own the strategic narrative against legacy clouds and new GPU clouds. You will lead the analytics, craft practical battlecards, and guide pricing takedowns for Account Executives.

You will dive into GPU clusters, networks, and AI hyperscalers, building an intelligence engine that gives sellers an unfair advantage while collaborating with engineering and GTM teams.

Qualifications

• 8+ years in competitive intelligence or related tech marketing roles.
• Deep technical understanding of GPU clusters and AI hyperscalers.
• Proactive, investigative mindset with data-hunting skills.
• Strong storytelling to translate tech into sales messaging.
• Cross-functional influence across sales and engineering.

Responsibilities

• Monitor and reverse‑engineer competitor roadmaps and deployments.
• Create battlecards, objection‑handling guides, and pricing takedowns.
• Lead win/loss interviews and feed data into GTM and product strategy.
• Provide executive market briefings on AI compute demand and supply chain bottlenecks.
• Collaborate with engineering to benchmark latency, PUE, and TCO of competitor clusters.

Skills

Competitive intelligence

Technical product marketing

Technical sales

Storytelling

Cross-functional collaboration

Job description

Nscale is seeking a Director of Competitive Insights to translate market moves into field‑ready playbooks and own the strategic narrative against legacy clouds and new GPU clouds. You will lead the analytics, craft practical battlecards, and guide pricing takedowns for Account Executives.

You will dive into GPU clusters, networks, and AI hyperscalers, building an intelligence engine that gives sellers an unfair advantage while collaborating with engineering and GTM teams.