Superset

Superset

Founding Product Manager

San Francisco, CA

Sponsorship not specifiedDetected 17 days ago
LLMsAI OrchestrationProduct ManagementProduct StrategySalesProcurementCustomer SuccessLeadershipMentoring

About the role

  • The work is hands-on, the problems are hard, and the opportunity to shape both the product and the company is real.
  • 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.

Responsibilities

  • 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.
  • You will move fast, prioritize ruthlessly, and work across product, GTM support, and customer success as the early stage demands.
  • Overall design (UX/UI) to turn ideas into polished, well-thought-out experiences
  • 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.
  • The opportunity to build products at the intersection of AI, behavioral science, and modern software.
  • 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.

Requirements

  • Multi-role product thinking - you can hold admin, end-user, and leader needs on one platform without over-optimizing for any one of them.
  • Hands-on AI / LLM product experience - you are comfortable with non-deterministic outputs and think in probabilities
  • 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.
  • You have defined how we measure AI-output quality and product engagement, and instrumented the product to capture it.
  • 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.
  • Self-serve / DIY UX - you have designed setup flows that hide complexity but preserve power, using progressive disclosure for non-technical users.
  • 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.

Nice to have

  • Familiarity with a sales methodology (MEDDIC, SPIN, or Challenger) - to judge whether roleplay content is genuinely useful for reps.
  • 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.
  • 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.

Compensation

  • Competitive compensation, including salary and meaningful equity.

Benefits

  • Competitive compensation, including salary and meaningful equity.

Company info

  • reps practice realistic roleplays, get instant AI feedback, and leaders see where conversation quality and conversion are improving.
  • With meaningful traction in India and a growing roster of enterprise clients including Kaiser Permanente, Farmers Insurance, and Accenture across banking, insurance, and wealth, Eubrics is now building its US business.
  • We are a portfolio company of super{set}, a venture studio that conceives, funds, and builds AI-native companies from formation through scale, working alongside founders as operators from day one.
  • We are an early-stage team building something new.
  • 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.
  • turning the first US enterprise customers into real product wins, validating value, then replicating and scaling.
  • 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.

This listing is sourced directly from Superset's careers page and normalized into a canonical job model.