Senior Product Manager

Sapience AI Corporation•Seattle, WA

6d•$180,000 - $190,000

About The Position

Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share. Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves. 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. 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. 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.

Requirements

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.
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.
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 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.

Nice To Haves

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.

Responsibilities

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.
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.
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.
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.
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.
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.
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.
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.