Head of Product

1mind • San Francisco, CA

7d • Hybrid

About The Position

We’re looking for a Head of Product to own product vision, strategy, and execution for an AI-native platform at 1mind. This role is for a product leader who has built applied AI systems in production — not just shipped features powered by models, but designed end-to-end intelligence: context pipelines, retrieval systems, memory, tool orchestration, and evaluation loops that make AI reliable, useful, and controllable.
You’ll operate at multiple altitudes: setting long-term product direction for our Superhuman platform, translating company strategy into concrete roadmaps, and partnering deeply with engineering, AI, and design to ship real-time, multimodal AI experiences. You’ll be responsible for how intelligence is composed, grounded, evaluated, and evolved across the product.
As the company scales, you’ll also build and lead the product organization — setting the bar for AI-first product thinking, execution rigor, and customer impact.

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.

Nice To Haves

• Experience in GTM, conversational AI, or multimodal products is a strong plus.

Responsibilities

• AI-First Product Vision & Strategy
• 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.
• Context, Intelligence & Systems Design
• 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.
• Customer & Use-Case Depth
• 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.
• Execution & Iteration
• 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.
• Metrics, Evaluation & Learning Loops
• 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.
• Cross-Functional Leadership
• 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.
• Team & Culture
• 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.

Benefits

• 1mind's total compensation package is designed to be competitive and includes base salary, bonus, equity, and a full range of benefits and perks.
• Final compensation will depend on factors such as your skills, experience, qualifications, and will be determined during the interview process.
• The hiring manager will share more details about the full compensation package and benefits as you move through the process.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Education Level: No Education Listed