Head of Product at 1mind overseeing AI-native platform with product vision and strategy. Lead product organization to build and ship applied AI systems in production.
Responsibilities
Own and articulate the product vision for 1mind as an AI-native system, not a traditional SaaS product.
Define strategy and roadmap across Superhuman capabilities, context & memory systems, retrieval and grounding, agent workflows, and customer-facing experiences.
Make principled tradeoffs across model capability, latency, reliability, cost, and user control.
Lead product direction for how Superhumans understand context: knowledge ingestion, RAG pipelines, long-term memory, session state, and dynamic grounding.
Partner with AI and engineering to design agent behaviors, tool use, browser/action execution, and multi-step reasoning flows.
Drive innovation in how intelligence is composed across voice, visual, and textual modalities.
Develop deep empathy for customers using AI in high-stakes GTM and support workflows.
Translate real customer pain into concrete AI capabilities that improve outcomes, not just demos.
Ensure products are explainable, debuggable, and trustworthy from a customer’s point of view.
Partner closely with engineering, AI, and design to turn ambiguous AI problems into shippable products.
Ensure strong product execution: clear problem framing, scoped bets, fast experimentation, and disciplined iteration.
Balance velocity with correctness in a system where failures are visible and costly.
Define success metrics for AI systems: quality, reliability, latency, cost, and downstream business impact.
Ensure products are instrumented for evaluation, feedback, and continuous improvement.
Build tight loops between production behavior, offline evaluation, and roadmap decisions.
Serve as the connective tissue between product, AI, engineering, GTM, and leadership.
Partner with sales and marketing to shape AI capabilities into clear customer value and market narratives.
Communicate roadmap, tradeoffs, and progress with clarity and credibility.
Build, mentor, and lead a high-performing product team as the company scales.
Establish best practices for AI-first product management, including discovery, evaluation, and launch standards.
Foster a culture of ownership, technical curiosity, and candid, constructive debate.
Requirements
10+ years of product management experience, with recent experience on AI-native or Applied-AI products.
Proven track record building and shipping applied AI systems in production (e.g., RAG, agents, context/memory systems, tool use).
Strong intuition for how models, retrieval, context, tools, and UX work together to create reliable intelligence.
Experience partnering closely with AI and infrastructure teams on real-world constraints (latency, cost, evals, reliability).
Systems thinker who can reason about complex technical architectures and translate them into clear product decisions.
Excellent communicator who can align executives, engineers, researchers, and GTM teams.
Comfortable operating in ambiguity and making high-leverage decisions with imperfect information.
Experience in GTM, conversational AI, or multimodal products is a strong plus.
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