Where this role sits

This role owns a product area end to end. Where the product marketer is the market lens, you are the person accountable for what we build, how it works, and whether it ships and succeeds.

You lead a cross-functional team of engineers, designers, and applied AI specialists to turn strategy into a product members rely on. You own the roadmap for your area, the decisions inside it, and the outcomes it produces.

You work at the center of the product organization, translating a clear point of view into shipped work that moves MINERVA and the COGENT architecture forward through each GR/GA milestone.
Why this role exists

In an AI market where capabilities can be copied in weeks, the advantage goes to teams that decide well and ship fast. Someone has to hold the point of view, make the calls, and keep a team building the right thing.

Collective intelligence is hard product work: reasoning over messy knowledge, earning member trust, and fitting into how communities already operate. It needs an owner who can hold both the ambition and the details.

The Senior Product Manager is that owner. You set direction for your area, make the hard prioritization calls, and are accountable for whether the product succeeds with the people it serves.
What you will own (Areas of Responsibility)

You hold eight areas of responsibility inside the product organization. Each one is yours to set direction on, build, and measure.
1. Product strategy and roadmap ownership

• Own the strategy and roadmap for your product area, grounded in member needs, market evidence, and company goals.
• Make clear prioritization calls, and protect the roadmap from reactive churn.
• Sequence work so each release builds toward a strategy, not a list of features.

2. Discovery and definition

• Run discovery with members, buyers, and internal experts to understand the real problem before committing to a solution.
• Write clear definitions of what to build and why, including the assumptions and the bet behind each one.
• Validate early and often, so the team learns fast and adjusts faster.

3. Delivery and execution

• Lead a cross-functional team through delivery, unblocking decisions and keeping momentum.
• Own trade-offs on scope, quality, and time, and make them explicit.
• Ship reliably, and hold a clear bar for what launch-ready means.

4. AI product judgment

• Make sound calls about where AI helps, where it fails, and how to design for its limits.
• Design for trust: provenance, guardrails, and honest handling of uncertainty in what the platform tells members.
• Partner with applied AI and research to turn capability into dependable product behavior.

5. Member trust and outcomes

• Keep member value and trust at the center of every decision.
• Define the outcomes your area is accountable for, and measure them honestly.
• Own adoption and time-to-value, not just shipped features.

6. Metrics, instrumentation, and learning

• Instrument your area so you can tell whether a bet is working.
• Turn signals into decisions, and shorten the distance from learning to change.
• Run experiments where the answer is genuinely uncertain.

7. Cross-functional alignment

• Align engineering, design, product marketing, and operations around a shared plan and a shared point of view.
• Communicate clearly across the company, up and sideways, so people know what is happening and why.
• Partner with the product marketer as the market lens, and with go-to-market on launch readiness.

8. Roadmap for platform capability

• Advance the underlying platform capability your area depends on, in partnership with platform and architecture teams.
• Balance customer-facing value with the durable investments MINERVA and COGENT need.
• Help steer the platform through GR and GA milestones with a clear view of what each unlocks.

AI-augmented ways of working

AI is embedded in how you work, from discovery through delivery. You use AI to synthesize research, draft definitions, analyze signals, and explore options, then apply the judgment that turns those outputs into sound product decisions.

The standard is human in partnership: AI accelerates the work, you own the judgment, the interpretation, and the call. The people who create the most value here are not the ones producing the most output. They are the ones turning evidence into clear, durable decisions.
What this role is not

To keep the boundary clear:

• This is not a product marketing role. You partner with the market lens, but you own delivery, the roadmap, and the outcomes of your area.
• This is not a project-management-only role. You own strategy and hard calls, not just coordination and timelines.
• This is not an engineering management role. You lead the product direction, while engineering leadership owns the team and craft.
• This is not a feature-factory role. You are accountable for outcomes and member trust, not a count of shipped features.

What success looks like

We measure this role on outcomes the team can see:

• Right bets, shipped. Your area builds the right thing more often, and it ships.
• Member value. Members reach value faster, and adoption in your area grows over time.
• A clear point of view. Your team shares a direction that holds up under pressure.
• Trustworthy AI. The product handles uncertainty honestly, and members trust what it tells them.
• Fast learning. The distance from signal to decision keeps getting shorter in your area.
• Durable platform. Your work advances MINERVA and COGENT, not just the surface.

Who you are
Required qualifications

• Six or more years in product management, with a track record of owning a product area end to end.
• Experience shipping AI or ML products, with sound judgment about their strengths and limits.
• A record of setting strategy, making hard prioritization calls, and delivering outcomes.
• Strong discovery and validation instincts with real members and buyers.
• Technical fluency to partner credibly with engineering and applied AI.
• Analytical rigor with product metrics and the judgment to separate signal from noise.
• Excellent communication and cross-functional leadership.

Preferred qualifications

• Experience with retrieval, agents, knowledge graphs, or neuro-symbolic systems.
• Experience building trust-sensitive products with sensitive data.
• Familiarity with CRM, AMS, or knowledge-platform ecosystems.
• Domain understanding of professional communities or membership-driven organizations.
• Experience helping define a new product or category.

How you work

• You lead with the member and name the real problem before the solution.
• You hold a clear, bold point of view and defend it with evidence.
• You make hard calls, own them, and keep the team moving.
• You treat trust and honesty about AI's limits as first-order.
• You communicate clearly and bring people with you.
• You treat learning as the job and change course without ego.

Skills & Competencies

• Product strategy, roadmap ownership, and prioritization.
• Discovery, problem definition, and validation.
• AI product design, including designing for model limits and uncertainty.
• Metrics, instrumentation, and experimentation.
• Cross-functional leadership and clear written communication.
• Trust, provenance, and governance in AI products.
• Balancing customer value with durable platform investment.

Services & Tools Experience

• Product analytics and experimentation platforms.
• Roadmapping, discovery, and collaboration tools.
• Familiarity with LLM, retrieval, vector, and graph systems at a working level.
• SQL for pulling and reasoning about product data.
• Design and prototyping tools for collaborating with design.
• Issue tracking and delivery tooling.
• Familiarity with Sapience AI's MINERVA platform and COGENT architecture (trained on the job).

Prior Experience & Background

• Prior senior product management at a software or AI company.
• A track record of owning a product area and its outcomes.
• Experience shipping AI-driven products to real audiences.
• Experience in trust-sensitive or regulated domains is a plus.

Cross-functional partners

You work most closely with Engineering, Product Design, Applied AI, and Product Operations, and you partner tightly with Product Marketing as the market lens. You align with go-to-market teams on launch readiness while they own the campaigns and sales motion downstream.
How we hire

We review every application, and we encourage you to apply even if you do not match every line above. Research shows that talented people, especially those from underrepresented communities, often hold back when they do not meet every qualification. If that is the only thing holding you back, apply anyway.

Compensation

Base Salary: $180,000 - $190,000 + early stage equity

Generous health and wellness benefits