AI-First SVP of Product Management $400,000 USD/year

Pay is set based on global value, not the local market. Most roles = hourly rate x 40 hrs x 50 weeks ($200 USD/hour) Worldwide Fully-remote full-time (40 hrs/week) Flexible schedule Long-term role IgniteTech

AI-First SVP of Product Management $400,000 USD/year ($200 USD/hour)

Worldwide Fully-remote full-time (40 hrs/week)

Description

You’re a product exec who still ships. You can take a fixed product vision, slice it into the smallest valuable increments, and get enterprise-grade AI capabilities into production fast without turning the work into roadmap theater. You’ve already lived through the “AI will solve everything” phase, you know where it breaks, and you’re good at building anyway. If your best work happens when you own the outcome end-to-end (i.e., deciding, prototyping, hardening, launching, and watching real customers use it), then keep reading. Most of the software industry is doing AI like a costume change: sprinkle a chatbot on top, announce a “copilot,” call it innovation, and hope buyers don’t ask hard questions. We’re doing the opposite. We’re building AI-native capabilities that earn their place in the product by delivering measurable enterprise value, and we’re doing it at a speed that makes traditional planning cycles look like self-harm. Our edge is compressing Sell → Design → Build loops, ruthless scope control inside an established direction, and production deployments that meet enterprise standards without months of coordination overhead. The core of this job is rapid delivery of enterprise-grade, AI-native product capabilities into customer hands. It is personally prototyping with modern AI tooling to validate feasibility before engineering hardens the build. It is owning delivery from vision refinement to production deployment, making decisive tradeoffs, and shipping inside a fixed frame. It isn’t “adding AI features” without a clear value proposition. It isn’t a feature-request intake queue, a PRD factory, or a slide-deck career. It isn’t vague vision statements, model metrics detached from user reality, or optimism that assumes AI works perfectly. You’ll sit close to engineering and operate as a player-coach: part builder, part decision-maker, zero part coordinator. You’ll translate an established vision into executable scope, prototype quickly to collapse ambiguity, and drive releases that customers can actually adopt in real enterprise environments. If you’ve shipped net-new enterprise software, used AI as an execution layer, and you’re calm when the hype collides with production constraints, you’ll have the autonomy to move fast and the responsibility to make it hold up. If that sounds like relief instead of pressure, please apply.

What you will be doing

• Shipped Product Capabilities: Net-new or materially enhanced product features delivered into production and accessible to enterprise customers
• AI-Driven Prototypes: Working prototypes created using AI as the primary execution layer to validate functionality before production hardening
• Enterprise-Grade Production Deployments: Fully hardened, secure, reliable deployments that meet enterprise standards for quality, usability, and security

What you will NOT be doing

• Portfolio or roadmap-centric product leadership
• Reliance on customer discovery as the primary driver of direction
• Process-heavy or governance-oriented product roles
• Treating AI as an assistant rather than a core execution layer

Key responsibilities

• Rapid delivery of enterprise-grade, AI-native product capabilities into customer hands

Candidate requirements

• At least 5 years of experience shipping new products or major capabilities end-to-end
• Experience owning product delivery from vision refinement through production deployment
• Experience prototyping, testing, and iterating products or features using modern AI tooling
• Experience ensuring enterprise-software standards for quality, security, reliability, and deployment