Founding Product Manager

superset} Hive Community•San Francisco, CA

About The Position

Eubrics is an AI-native platform that helps financial-services professionals have higher-impact client conversations. We bring together generative AI, behavioral science, and organizational development in an AI sales-coaching platform. The platform allows reps to practice realistic roleplays, get instant AI feedback, and enables leaders to see where conversation quality and conversion are improving. With significant traction in India and a growing roster of enterprise clients, Eubrics is expanding its US business. This is an early-stage team building something new, offering hands-on work, challenging problems, and the opportunity to shape both the product and the company.

Requirements

Early-stage product execution — experience taking a product from its first few paying customers through value validation and on to replication and expansion.
Ability to operate well without a big team or budget, move fast, prioritize ruthlessly, and be comfortable with ambiguity.
Enterprise B2B fluency — understanding long buying cycles and multi-stakeholder sign-offs (IT, L&D, Sales Leadership, Procurement), SSO / RBAC / compliance expectations, and how to design for the post-sale moment so CS and onboarding work without implementation partners.
Multi-role product thinking — ability to hold admin, end-user, and leader needs on one platform without over-optimizing for any one of them.
Experience designing self-serve / DIY UX — setup flows that hide complexity but preserve power, using progressive disclosure for non-technical users.
Hands-on AI / LLM product experience — comfort with non-deterministic outputs and thinking in probabilities; understanding how product decisions shape model behavior, how to define quality for AI output, and how to design feedback loops.
Hands-on experience building agentic products — systems where AI takes multi-step actions, manages state, and operates with increasing autonomy — and understanding agent orchestration, failure modes, and human-in-the-loop design.
Experience with analytics & instrumentation — knowing what to measure, how to instrument from day one, and how to turn data into decisions, both for internal iteration and for the customer-facing analytics surface.

Nice To Haves

Familiarity with a sales methodology (MEDDIC, SPIN, or Challenger) — to judge whether roleplay content is genuinely useful for reps.
Understanding of L&D / sales-enablement as a product category (Highspot, Seismic, Gong) as adjacent competitors and integration partners.
Knowledge of the financial-advisory space, particularly regulated, high-stakes selling where roleplay quality affects compliance.
Conversational or voice-AI product experience - turn-taking, latency sensitivity, interruption handling, spoken UX - a strong differentiator given where Eubrics is headed.

Responsibilities

Own the entire product roadmap and prioritization — what gets built, in what order, and why — from the first US customers through value validation and on to replication and expansion.
Manage the experience for all three users — admin configuration, the sales-rep roleplay-and-feedback loop, and the sales-leader analytics view — held in balance on one platform.
Develop self-serve setup: DIY configuration flows that hide complexity but preserve power (progressive disclosure), so non-technical admins onboard with minimal friction and no implementation partners.
Oversee overall design (UX/UI) to turn ideas into polished, well-thought-out experiences.
Define the AI product surface: defining what "good" looks like for non-deterministic, agentic outputs; the feedback loops where customer data improves the model over time; agent orchestration, failure modes, and human-in-the-loop design.
Define instrumentation and analytics: what to measure from day one (engagement quality over vanity metrics), the internal iteration loop, and the customer-facing analytics surface.
Span the whole product — discovery and UX one week; AI quality and instrumentation the next.