Role

We are looking for our founding Product Manager - the first PM at Eubrics, working directly with the founders to expand the product from its initial US enterprise customers and scale it from there.

The product idea is already shaped. Your job is execution and expansion: turning the first US enterprise customers into real product wins, validating value, then replicating and scaling. You will own the product across three very different users on one platform - the admin who configures AI roleplays, the sales rep who practices and receives AI feedback, and the sales leader who reads the analytics - without over-optimizing for any one of them.

This is a hands-on, multi-hat role. You will move fast, prioritize ruthlessly, and work across product, GTM support, and customer success as the early stage demands. You will help shape not just how the product works, but how it feels.
WHY THIS ROLE MATTERS

Eubrics sits where generative AI, behavioral science, and high-stakes selling meet. The winners in this category will not simply have the best models - they will build experiences that advisors genuinely trust and use, and that leaders can measure. As the founding PM, you will decide what we build first, how we know it is working, and how the product earns its place inside large, regulated financial institutions. You will shape the product, the process, and the culture, with founder-level leverage from day one.
WHAT YOU'LL OWN

• 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.
• 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.
• 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.
• Overall design (UX/UI) to turn ideas into polished, well-thought-out experiences
• 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.
• Instrumentation and analytics: what to measure from day one (engagement quality over vanity metrics), the internal iteration loop, and the customer-facing analytics surface.

This role spans the whole product - discovery and UX one week; AI quality and instrumentation the next.
WHAT SUCCESS LOOKS LIKE

FIRST 6-9 MONTHS

• Eubrics has shipped a self-serve setup experience. When an enterprise client is onboarded, they can configure the platform, build roleplays, and train their own sales reps with no more than one or two sessions - preferably none
• The full value of Eubrics is delivered by the product itself, not by delivery or CS teams holding the customer's hand - human involvement shrinks over time, not grows
• You have defined how we measure AI-output quality and product engagement, and instrumented the product to capture it.
• Clients see movement on the metrics they actually hired us for - shorter sales ramp times, higher rep readiness, more confident/effective customer conversations, and ultimately more revenue closed
• The first US enterprise customers are live and validating real value - with a clear, data-backed view of what is working and what to build next.
• The product holds all three users well, and the roadmap reflects evidence from real usage rather than assumption.

WHAT YOU BRING

Must Have

• Early-stage product execution - you have taken a product from its first few paying customers through value validation and on to replication and expansion. You operate well without a big team or budget, move fast, prioritize ruthlessly, and are comfortable with ambiguity.
• Enterprise B2B fluency - you understand 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 - you can hold admin, end-user, and leader needs on one platform without over-optimizing for any one of them.
• Self-serve / DIY UX - you have designed setup flows that hide complexity but preserve power, using progressive disclosure for non-technical users.
• Hands-on AI / LLM product experience - you are comfortable with non-deterministic outputs and think in probabilities; you understand how product decisions shape model behavior, how to define quality for AI output, and how to design feedback loops. Critically, you have hands-on experience building agentic products - systems where AI takes multi-step actions, manages state, and operates with increasing autonomy - and you understand agent orchestration, failure modes, and human-in-the-loop design.
• Analytics & instrumentation - you know 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 Have

• 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.

What You Get

• The opportunity to build products at the intersection of AI, behavioral science, and modern software.
• A founding role with meaningful ownership of and influence over the product and its direction.
• Direct partnership with the founders on roadmap, strategy, and what gets built.
• A collaborative, low-bureaucracy environment with high trust and high clock-speed.
• Competitive compensation, including salary and meaningful equity.

If you want to own and scale the product of an AI-native company where judgment and craft matter as much as execution, we would love to talk.