Principal Product Manager, Law Enforcement Officer Experience

BusPatrol

9d • Hybrid

About The Position

BusPatrol is hiring a Principal Product Manager to own the end-to-end experience for law enforcement officers reviewing and approving captured school-bus safety events. The role focuses on turning raw events into high-trust evidence packages that support fast, confident, and defensible decisions while preserving human judgment and accountability.

The product manager will define the review and approval experience, determine what an evidence package must contain, and work with AI and Automation partners to reduce friction and increase throughput. The experience must support high-volume work—up to 100,000 reviews per day—without sacrificing accuracy, trust, compliance, or careful handling of ambiguous cases. The role will establish metrics, instrumentation, auditability, and feedback loops to measure review quality, speed, consistency, and rework and to improve upstream capture and modeling.

Reporting to the Director of Product Management, this role works across Product, Design, User Research, Engineering, Legal, Operations, leadership, and external partners. It also sets a high bar for product craft and mentors other product managers. The position is hybrid in Austin, Texas, and eligible for relocation. Travel may be up to 20%.

Requirements

• At least 8 years of product management experience, including ownership of a significant product domain or platform end to end.
• Deep experience designing workflow, operational, or review tooling in which people make high-stakes decisions based on data and speed and accuracy both matter.
• Strong understanding of human-in-the-loop and decision-UX design, including reducing cognitive load, building trust, and guiding people toward accurate outcomes.
• Demonstrated ability to turn ambiguous, high-volume problems into clear product strategy and deliver shipped products.
• Excellent written communication, including the ability to distill complex problems into concise narratives for senior audiences.
• Strong presentation skills for communicating with development teams, executives, and external users or partners.
• Strong data and analytical skills, including defining and instrumenting metrics, interpreting behavior, and using evidence to guide roadmaps.
• Comfort with ambiguity and a structured, systems-thinking approach.
• Strong experimentation skills, including experiment design, setup, administration, measurement, and reporting of learnings and business value.
• Proven ability to influence and align senior stakeholders and cross-functional partners without direct authority.
• Fluency with modern AI tools such as Claude or ChatGPT for research, analysis, drafting, and prototyping.
• Bias for action and sound judgment about when to move quickly and when to slow down.

Nice To Haves

• Familiarity with public-sector, municipal, or business-to-government customers and procurement dynamics.
• Experience working directly with law enforcement or public safety representatives.
• Experience with machine-learning-assisted or computer-vision-driven review pipelines with human verification.
• Experience in a high-volume, high-stakes review domain such as trust and safety, content moderation, claims adjudication, fraud review, medical imaging review, or e-discovery.
• Experience building products subject to scrutiny, audit, contest, or reliance by external parties.
• Master’s degree or MBA in a related discipline such as product, technology management, design, or analytics.
• Appreciation for applying AI to public safety and a considered perspective on how AI changes the economics of human review.

Responsibilities

• Set and drive the end-to-end vision for how captured evidence is assembled, presented, reviewed, and approved.
• Map the reviewer and approver journey, identify friction, and remove unnecessary steps, clicks, and ambiguity.
• Design the experience to make correct decisions easier and incorrect decisions harder.
• Define the contents and standards of a reviewable evidence package in partnership with law enforcement partners and Legal.
• Ensure evidence packages are complete, well-ordered, and self-explanatory.
• Reduce cognitive load with clear information hierarchy, sensible defaults, and interfaces that support accurate decisions.
• Design for high-volume reviews while preserving trust, compliance, and careful handling of edge cases and ambiguity.
• Identify where automation can reduce friction and improve throughput while preserving human judgment and accountability.
• Instrument and measure review speed, accuracy, consistency, and rework.
• Build auditability into decisions through decision logs, reason codes, evidence lineage, and traceable overrides.
• Connect reviewer decisions with upstream capture and modeling so the system improves what it sends for human review.
• Use reviewer and approver behavior to inform product priorities.
• Translate complex, ambiguous problems into a clear roadmap and product vision for senior leaders.
• Influence and align leadership, engineering, research, design, operations, and partners or customers without direct authority.
• Set product craft standards and mentor product managers in discovery, prioritization, and execution.

Benefits

• Competitive salary and benefits package.
• Comprehensive personal time off, including volunteering and birthday days off.
• Opportunity to work on a company mission dedicated to children’s safety.
• Opportunity to contribute to purpose-driven work that makes a difference in people’s lives.
• Competitive incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: No Education Listed