What Code Four does
Code Four slashes the administrative burden on law enforcement through AI-driven automation. Officers spend up to a third of their shifts manually transcribing body camera footage, creating inaccuracies, reducing transparency, and cutting into frontline duties. We're here to eliminate these inefficiencies by integrating with body cameras, record management systems, and digital evidence management systems—acting as a software layer for data processing. We free the most overworked and underappreciated people in the world: police officers.
2 open roles
What the role involves
What you would do. • Own the full sales cycle — prospect, qualify, demo, pilot, navigate RFP/procurement, and close net-new police, sheriff, and city/county IT deals. • Tell a killer ROI story — quantify time saved per report, OT reductions, and stronger case quality from AI drafting/redaction. • Forecast like a pro — maintain a crisp 30/60/90 in Pipedrive, self-source pipeline, and beat quota. • Feed Product & Marketing — bring back field objections, DA policy needs, and RMS/CAD integration notes to shape roadmap and messaging. What you bring. • Start-up grit & bias for action — build playbooks, travel for demos/tradeshows, close; that’s all. • Consistent outperformance — $1M + new-logo quotas with largely self-sourced pipeline. • Access — chiefs/command staff, records/IT, procurement, and DA offices. • Public-sector fluency — CJIS, chain of custody, InfoSec, grants, budget cycles, RFPs. Nice to have: 5+ years selling into public safety/GovTech — RMS/CAD, digital evidence, justice SaaS, or adjacent. Why you win w/ us. • Rocket-ship trajectory — fast-growing with pilots converting to multi-year rollouts. • Tangible impact — hours back per report, stronger case quality, better transparency. • Comp package — competitive base + 15-30% uncapped commission, meaningful equity, full benefits. • A-team culture — low-ego, high-ownership, obsessed with winning with our agencies.
What the role involves
Skills: Next.js, TypeScript, GCP, Distributed Systems, Realtime Video/Audio, GraphQL/REST We’re looking for a fullstack engineer to own massive slices of our product surface: from low‑latency video ingest to the interfaces officers use to review evidence and approve auto‑generated reports. You’ll work shoulder‑to‑shoulder with the founders, ship fast, and help define the engineering culture and architecture that powers mission‑critical workflows for law enforcement. 💻 What You’ll Own Event‑driven backend: Architect our Next.js / TypeScript / GCP stack. Design schemas, queues, and webhook ingestion from BWC vendors, RMS/CAD, and DEMS to drive real‑time, personalized officer workflows. ML integration surface: Productionize CV / VLM / ASR endpoints from our ML team and expose them through resilient APIs with strict latency/error budgets. Evidence UX: Build intuitive dashboards that let officers review, redact, and approve reports with minimal clicks—while preserving full auditability. Security & compliance: Enforce end‑to‑end encryption, audit logging, role‑based access, and CJIS controls across services. System design & technical strategy: Decide how we scale to dozens of agencies, each with unique policies and templates, without sacrificing speed.
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Company facts compiled from public sources and last refreshed 9 September 2026. Details change; treat the company’s own site as the authority.