AI Product Manager, Agents & Orchestration

1mind · Remote, United States

AI Product Manager, Agents & Orchestration

This is a fully remote opportunity and can be worked from any location in the United States.
1mind is building the next generation of revenue teams.
We are creating a new category of enterprise software:

Autonomous Customer Experience.

Our platform deploys

Superhumans

, go-to-market teammates with a face, a voice, and a GTM brain that serve the buyer across the entire journey with one continuous memory. Join us as we define the category and build the platform that powers the next generation of revenue teams. 1mind is building the AI-led GTM workforce: Superhumans that run SDR, SE, onboarding, account management and customer success work end to end, on top of a shared context graph that compounds with every customer conversation. The next product leap is orchestration: teams of agents that hand work to each other, run packaged GTM plays, and bring in humans only when the trust ladder says so.
Youll work directly with the GenAI team, report to the Chief Product Officer, and decide how agents plan, call tools, share memory, hand off, and get evaluated. Then youll turn that into a platform that other PMs, forward-deployed engineers and customers build on.
Large platforms are consolidating the two ends of the funnel, and the live-conversation middle is still open. Expect to ship a v1 that isnt clean, then make it better every week.
Own the agent runtime every Superhuman runs on: planning, tool calling, memory reads and writes against the context graph, guardrails, and the Assist, Co-pilot and Autonomous trust ladder. Design multi-agent orchestration: handoffs between Superhumans across the customer journey (inbound SDR to SE Ride-Along to onboarding to CSM), shared state across a deal or account, and conflict resolution when two agents want to act on the same contact.
Packaged plays by funnel-stage outcome, like qualification and activation or retention and expansion, that customers configure instead of build. Define the platform surface: the APIs, configuration and admin experiences that app-layer PMs, forward-deployed engineers and enterprise admins use to compose and tune agents, including per-enterprise adapters and fine-tuning hooks.
Run a weekly ship cadence with GenAI and engineering, with enablement and customer success looped in before every release.
Write the specs engineers want to build from (data models, state machines, API shapes and the tradeoffs between them), and prototype in code or no-code tools before you write the doc.
5+ years of product management, including at least 2 years shipping LLM-based agents to production users. Hands-on with the agent stack: tool calling, planning loops, memory and retrieval, multi-agent handoff patterns, and the ways each one fails. Experience at an AI-native company, or on a large platform team paired with founder or early-stage startup experience, preferred. Technical enough to spec data models, state machines and API shapes, and to explain the tradeoffs between them.
~ Comfortable deciding with incomplete data and shipping weekly. Youd rather fix a v1 in production than polish a v2 in a doc.
~ Clear writing. SFT, DPO or reward-based training on outcome-labeled data, or per-tenant adapters.
Workflow or orchestration products at the platform level.
Enterprise platform experience: admin surfaces, permissions, audit, and the customers who ask for them.
The compensation package for this position also includes stock options and company-paid benefits.
1minds total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. We believe in providing interesting and meaningful work in a supportive and inclusive environment - free from discrimination for everyone without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, or veteran status. Please note that all legitimate communication from 1mind will come only from email addresses ending in @1mind.We will never ask for payment, financial information, or personal details outside of our official application process. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, notetaking, or summarizing responses. If you would like more information about how your data is processed or prefer to opt out of any AI-assisted tools, please let your recruiter know. LI-Remote