Chief Marketing Officer at LLMTrader | USA

Chief Marketing Officer

USA (Remote)

Salary Not AvailableSenior Level8+ years expFull time

Posted 4 months ago

The other 99% submit and hope. You're about to do something different.

Drive marketing leadership for a frontier AI/fintech company shaping revenue and category authority.

Own end-to-end marketing strategy tied to revenue and ARR goals
Must-have: 8+ years in B2B/fintech marketing with 3+ years in leadership
Standout: Product launches, competitive positioning, and AI narrative expertise

Set and execute end-to-end marketing strategy aligned tightly to revenue and ARR targets
Lead brand positioning, messaging architecture, and narrative in a fast-moving AI/fintech market
Drive B2B and B2C demand generation across organic, paid, partner, and community channels
Own product marketing: launches, competitive positioning, and customer-facing collateral
Build and scale content, SEO, and thought leadership to establish LLMTrader as a category authority
Manage media relations, analyst briefings (Gartner, Forrester), and industry conference presence
Design, instrument, and continually optimize the marketing funnel using rigorous analytics
Partner with Sales/CRO to sharpen ICP definition, nurture sequences, and pipeline velocity
Develop co-marketing and integration partnerships with brokers, exchanges, and data providers
Establish a community flywheel with traders, developers, and quant researchers as brand advocates

8+ years in B2B or fintech marketing, with 3+ years in a senior leadership role
Proven track record of owning revenue pipeline and CAC/LTV optimization
Experience marketing complex technical products to both technical and business buyers
Strong command of growth analytics: attribution modeling, funnel instrumentation, A/B testing
Exceptional written and verbal communicator who can simplify AI into compelling narratives
Experience hiring and leading distributed, async-first marketing teams
Comfortable with ambiguity and able to build structure without losing speed
Bachelor\'s degree required; MBA or advanced degree a plus

Background in algorithmic trading, quantitative finance, or market microstructure
Experience at an AI-native startup or frontier model company
Existing relationships with trading media, the VC ecosystem, or financial regulators
Community building experience among developer or quant audiences
Competitive executive comp package with meaningful equity stake / tokens / earnings from your own account
Flexible, async-first remote environment: we measure output, not hours
Annual learning and conference stipend
Direct access to and influence over company strategy at the executive table
Mission-driven team building something genuinely new at the frontier of AI and capital markets