Staff Product Manager - Applied AI Workflow

What Success looks like in 12 months,

• A significant IVMS workflow transformation is shipped, stable in production, and delivering its promised cost and automation impact
• A clear, sequenced plan exists for moving IVMS toward an autonomous-by-default workflow, with human intervention narrowed to a well-defined slice
• Manual-touch volume on IVMS is materially down vs. baseline; the cost-per-insight curve bends
• Every critical workflow step has a metric, a target, and a dashboard. The org can answer "how is the workflow performing this week?" without a Slack thread
• DS, Platform, CS, and GIS Ops consistently align to your decisions without escalation

How You Operate:

• Shape the question before deciding the answer: When handed an ambiguous problem, you don't just solve it as posed — you reframe it, sharpen the metric, and tell us when we're optimizing for the wrong thing
• First-principles process thinker: You can look at a 20-step workflow, ask why step 7 exists, and not lose nuance in the process
• Metric-native: You reach for a measurement before a meeting. You don't ship a workflow without a way to tell whether it's working
• Comfortable being the decider: When cohort logic or automation policy is contested, you make the call and defend it. You don't outsource hard calls upward by default
• Credible with technical peers: DS, Platform PM, and engineering find you a strong partner. You can hold a substantive conversation about model performance, confidence thresholds, and system constraints
• Write well, think in writing: Your primary artifacts are documents — workflow charters, frameworks, decision logs
• Influence without authority: CS, GIS Ops, the applied AI pod, and Platform don't report to you. You move them through clarity, credibility, and shared metrics
• Owner mentality: When the workflow underperforms, you don't say "the model was off" or "execution slipped." You own the outcome and find where the design failed

What we're looking for:

• 9-13 years of total experience, with at least 4-6 years as a Product Manager 
• At least one tour owning an internal, operational, or platform-style product — not exclusively customer-facing feature PM 
• A track record of cross-functional ownership at scale — not just shipping, but changing how the org made decisions in a domain
• Demonstrated ownership of operating KPIs (cost, cycle time, throughput, automation %, quality) under real accountability

Nice to have:

• Experience working on workflows or products that combine model output with human review, and comfort making decisions that depend on model performance
• Background in geospatial / remote sensing / satellite imagery, utilities, climate-tech, or labeling pipelines
• Experience scaling a function from zero at a Series B–D company in a resource-constrained environment

What this role is not:

• Not a feature PM role: You won't be designing what utilities see in the AiDASH product. That's owned by our IVMS / AIMS / CRIS PMs
• Not a platform or internal-tools PM role: You won't be writing PRDs for the labeling tool, QC dashboard, or routing engine. That's owned by our Platform PM — your peer, not your scope.
• Not an operations role: You won't run the workflow at scale. CS is the operating muscle that runs the workflow you design; GIS Ops is a separate execution function
• Not a process consultant or Op Excellence role: You don't map AS-IS / TO-BE flows and hand them over. You own the workflow as a product — its design, metrics, and evolution — and you're accountable to outcomes
• Not a data science role: You don't build models or design technical model evaluation strategies. You partner with the applied AI pod that does, and you make the policy calls their work informs
• Not customer-facing: You won't be in front of customers directly. The customer voice reaches you through CS and feature PMs
• Not a pure strategy or architect role: You'll be hands-on with frameworks, specs, and decisions — and driving adoption of the workflow

We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.

We are committed to providing an inclusive and accessible interview experience for all candidates. Please let us know if you require any accommodation during the interview process, and we will make every effort to meet your needs.

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