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    Newbridge

    Chief Commercial Officer (CCO) | AI Product Company

    Newbridge
    Full-time
    RemoteSalesToday

    About this role

    Our client is a high-growth AI Product company building category-defining AI products for global markets. With strong product-market fit, institutional backing, and a world-class product & tech team, they are now entering their next phase of commercial scale-up.

    This is a pivotal leadership role responsible for turning product innovation into commercial success. You will own the full commercial charter - Go-to-Market Strategy, Sales, Business Development, Partnerships, Revenue Operations and Customer Growth.

    This is not just a sales leadership role - we are looking for a strategic commercial leader who can build a scalable, predictable revenue engine for an AI-first product in global markets.

    Key Responsibilities

    1. Commercial Strategy & GTM
    • Define and own the overall commercial strategy, GTM plan, and revenue roadmap for the AI product portfolio

    • Own pricing, packaging, and commercial models for different markets and segments

    • Identify and prioritize new markets, verticals, and customer segments for expansion

    1. Sales & Revenue Leadership
    • Build and scale the enterprise and mid-market sales organization from 0-to-1 and 1-to-100

    • Own all revenue targets - ARR, new logos, expansion, retention and profitability

    • Establish sales processes, forecasting, pipeline management and RevOps discipline

    1. Partnerships & Business Development
    • Build strategic partnerships - technology partners, channel partners, GSIs, and ecosystem alliances to accelerate distribution

    • Drive strategic deals and enterprise partnerships that open up new markets

    1. Customer & Market Leadership
    • Partner closely with Product & Marketing to translate customer insights into product and positioning

    • Act as the voice of the customer internally and the face of the company externally for commercial discussions

    • Lead customer success and expansion charter in partnership with CS team

    Who We Are Looking For

    • 12+ years of commercial experience with at least 5+ years leading Sales / Business Development / Commercial functions in a B2B SaaS / AI / Enterprise Tech Product company

    • Proven track record of scaling revenue from early stage to $10M+ / $50M+ ARR

    • Deep experience in selling AI / SaaS / Cloud / DeepTech products to enterprise customers globally

    • Strong experience in building and leading high-performing sales teams, partnerships and RevOps

    • Strategic + Hands-on - you can build strategy with the CEO and also close enterprise deals yourself

    • Excellent understanding of enterprise sales cycles, consultative selling, and AI product commercialization

    • Global mindset - experience in scaling across US, APAC, EMEA markets is a strong plus

    • MBA / Engineering background preferred but not mandatory. What matters is commercial achievement.

    What Our Client Offers

    • Leadership role with P&L ownership in a rocketship AI Product company

    • Direct reporting to CEO and seat at the leadership table

    • Opportunity to build and own the global commercial function from ground up

    • Competitive compensation + significant equity upside

    • High-growth, high-ownership, product-first culture

    About Newbridge

    Newbridge
    Newbridge

    Newbridge is a growing international technology organization operating across multiple sectors including fintech, digital asset trading, and software development. The company develops scalable web-based applications, advanced AI/ML systems, and mission-critical trading infrastructure serving institutional and professional market participants. They operate a global digital asset trading platform at institutional scale across multiple regions, offering high-performance trading ecosystems and blockchain-enabled financial services. The organization emphasizes modern engineering practices, cross-functional collaboration, and innovation in areas including distributed systems, machine learning, and exchange infrastructure.

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