Chief Product and Technology Officer — San Francisco Bay Area
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Локация: San Francisco Bay Area
Формат: не указан
Занятость: Полная занятость
Грейд: Lead / руководитель
KAswGK is an agentic organic growth platform. We get brands recommended and bought across humans and AI agents, from discoverability to revenue.
Our bet.
• Search is now an answer, and increasingly an action an agent takes for a person.
• Every brand has three kinds of visitors: humans who search and buy, crawlers that index, and agents that discover, compare, and transact.
• We are building the Organic Growth OS for all three that drives enterprise first outcomes
• The winners of the next decade will be the brands that machines understand, trust, recommend, and can act on.
Agentic commerce.
• A new buyer has arrived, and it is not human: AI agents research, compare, add to cart, check out, and book for customers.
• Winning it means being legible to agents: discoverable in AI answers, readable at the catalog and pricing level, verifiable by identity, and able to transact.
• Most brands are invisible or unusable to agents today.
• We close that gap, and prove it with attribution from recommendation to agent action to revenue.
The role.
• A seat for an entrepreneur, not a hire to run an existing machine.
• Own Atlas and the platform around it end to end: product, architecture, and applied AI in one mandate.
• The prize is US mid-market and enterprise growth.
Platform-led operations.
• KAswGK is moving from an AI-enabled services business that delivers with people to a platform first business that delivers with agents. You own that transition.
• Today human teams run much of the client work: audits, briefs, technical fixes, content operations, and reporting.
• The shift: move delivery onto Atlas so agents execute, while humans move up to strategy, judgment, creative direction, and client relationships.
• The principle: agents drive delivery, humans augment strategy on top.
• Decompose the services playbook into deterministic tasks and agent workflows, and automate the delivery layer end to end.
• Instrument it with monitors and evals so quality holds without a person checking every output.
• Redesign how the company is organized around the platform, not headcount.
You will:
• Own the Atlas roadmap and agent architecture, deciding where LLMs beat deterministic code.
• Grow the automation surface and raise the share of work done with no human in the loop.
• Own agent readiness, identity, and commerce so agents can discover, trust, and buy.
• Run the monitors, evals, and guardrails that make autonomous output reliable enough to sell on outcomes.
• Build and scale the product, engineering, and AI teams, and tie the roadmap to ARR and margin.
• Convert WzqhAn'Q services delivery into platform-led agent workflows, retiring manual steps so agents execute and strategists direct.
Who you are.
• A founder or founding engineer who has taken something from zero and wants to build again.
• Has scaled product and engineering teams through real growth.
• Has shipped agentic systems to production, not demos, and knows when to use LLMs versus deterministic code.
• Has built for US mid-market and enterprise buyers and their reliability and security bar.
• Combined product and technology fluency. SEO, GEO, or MarTech experience is a plus.
• Has turned a manual operation into a product or platform, and wants to do it at WzqhAn'Q scale.