--- title: "Senior Product Manager" description: "ABOUT US: At Nace AI, we are redefining how professional services operate by delivering Sovereign Specialized Intelligence. As an applied research and produc…" canonical: "https://nace.ai/careers/b6df4ec4-2a5e-4f15-a2d0-c36e2c5df914" updated: 2026-03-26 --- # Senior Product Manager > ABOUT US: At Nace AI, we are redefining how professional services operate by delivering Sovereign Specialized Intelligence. As an applied research and produc… Product · Palo Alto, CA · Full-time [Apply for this position](https://jobs.ashbyhq.com/nace.ai/b6df4ec4-2a5e-4f15-a2d0-c36e2c5df914/application) ABOUT US: At Nace AI, we are redefining how professional services operate by delivering Sovereign Specialized Intelligence. As an applied research and product company, we equip enterprises with a comprehensive AI stack to build customized, secure intelligence tailored to their unique business needs. Driven by advanced Small Language Models and our dynamic metamodel framework, our flagship platforms - Nace Data Intelligence and the Nace SLM Cloud - enable true end-to-end business process automation. The result is transformative ROI: professional services firms using Nace AI are currently recovering 1,000 hours per client engagement, drastically reducing overhead and accelerating delivery. The work we are doing has a meaningful impact across industries, and every hire at Nace AI plays a critical role in shaping the company’s trajectory. This is a unique opportunity to join a high conviction AI company at an early stage and directly influence its growth. If building a world-class AI team from the ground up excites you, we’d love to talk. ROLE OVERVIEW We are seeking a Product Manager to lead the strategy, roadmap, and execution of Nace.AI http://Nace.AI’s AI-Agentic products. You will define product vision, analyze user and market needs, and work closely with engineering, design, and ML teams to deliver scalable, high-impact features. You will manage the full product lifecycle and ensure solutions align with business goals and user expectations. KEY RESPONSIBILITIES: - Define and maintain the product roadmap, prioritizing features based on user value and business impact. - Translate customer feedback, market trends, and data insights into actionable product requirements. - Collaborate with engineering, design, and AI/ML teams to deliver high-quality product releases on time. - Oversee the full product lifecycle—from discovery and scoping to launch, testing, and iteration. - Set, monitor, and analyze product KPIs to drive data-informed decisions and continuous improvement. - Conduct user research and validate assumptions through experiments, prototypes, and feedback loops. QUALIFICATIONS: - Bachelor’s degree in CS, Engineering, or related field. - Experience as a Product Manager, ideally in SaaS or AI/ML products. - Strong analytical, organizational, and communication skills. - Ability to work cross-functionally in fast-paced environments. PREFERRED QUALIFICATIONS: - Experience with AI/ML products or data platforms. - Familiarity with agile methodologies and modern PM tools (Linear, Figma, Miro, Notion, etc). - Startup or high-growth environment experience.We are seeking a Product Manager to lead the strategy, roadmap, and execution of Nace.AI http://Nace.AI’s AI-Agentic products. WHY NACE.AI http://Nace.AI? Pedigree: Work with a team from top-tier institutions and companies, backed by the best VCs in the world. Impact: You are joining early enough to shape the culture and the growth roadmap of a company aiming to be the "OS" for professional knowledge. Competitive Package: Silicon Valley-standard salary, significant equity, and premium benefits. [Apply for this position](https://jobs.ashbyhq.com/nace.ai/b6df4ec4-2a5e-4f15-a2d0-c36e2c5df914/application) ## For agents - [Drex API guide](https://nace.ai/drex.md): the decision model: request shape, question types, benchmarks and deployment, as markdown - [Decision endpoint](https://console.nace.ai/v1/systemone): POST with model "drex-latest", a state string and typed questions (choice, noul, score); https://console.nace.ai/v1/models lists checkpoints - [Document endpoints](https://console.nace.ai/v1/documents/{parse|split|classify|extract|ground}): POST a source (a public URL, an uploaded workspace file or a finished parse job) and poll GET https://console.nace.ai/v1/documents/jobs/{id}; the same key and credit as decisions - [Console](https://console.nace.ai): API keys, the playground, usage and billing; send `Authorization: Bearer $NACE_API_KEY` on every request - [Console docs](https://console.nace.ai/docs): quickstart, question types, the document routes, errors, limits and pricing - [Nace Document Intelligence](https://nace.ai/perception.md): the Perception series: parse, split, classify, extract and ground any file type with a location on every value - [Drex for Search](https://nace.ai/drex/search.md): Drex for Search: decision-powered retrieval for agents, Drex finds the page, cited search through the CLI, SDKs, MCP and REST, and the public benchmark ranks - [Use cases](https://nace.ai/use-cases.md): every Drex use case with its proof figures: browser use and search for developers, enterprise finance teams and professional firms - [Developers](https://nace.ai/developers.md): The execution layer for agents: Perception, Decision and Search behind one key, the Drex Max frontier, install steps, a scripted agent session and the four deployment boundaries - [Site index](https://nace.ai/llms.txt): every page on nace.ai; append `.md` to any page URL or send `Accept: text/markdown` for the markdown version