Jobs at Peregrine Technologies, Inc.

Owner of top-of-funnel expansion across local government: prospect, qualify, and convert leads from events, field engagement, and inbound/outbound outreach. Book discovery and demo meetings, maintain CRM hygiene, surface territory insights, and partner with Account Executives to progress opportunities. Role emphasizes high activity, travel, and building scalable qualification frameworks for public safety and government accounts.

Manage day-to-day operations and visitor experience for Peregrine's DC office: greet guests, coordinate conference rooms and events, manage vendor relationships, handle workspace setup and badge access, partner with cross-functional teams, and support safety and operational procedures to maintain a polished, well-organized workplace.

Own Peregrine’s end-to-end procurement function: source vendors, negotiate contracts, manage renewals, track spend, coordinate security/privacy reviews, build intake/PO workflows, and partner cross-functionally to drive savings and process.

Drive federal law enforcement sales by managing full sales lifecycle, navigating federal procurement, building executive relationships, creating account plans and playbooks, and coordinating deployments with product and security teams to scale Peregrine's AI-enabled platform across agencies.

Build and ship user-facing features across Peregrine's platform (search, maps, dashboards, dossiers, collaboration). Work full-stack with design and product to deliver fast, reliable, AI-assisted experiences, focusing on latency, interaction design, trust, and scalability. Collaborate with deployment and users to iterate and own major product features end-to-end.

Lead statewide expansion by building relationships with Texas state and local leaders, mapping agency priorities to Peregrine products, converting policy/funding/procurement opportunities into deployments and revenue, managing external partners, and coordinating cross-functional teams to accelerate contracting and adoption.

Build production-grade, generative AI features enabling natural-language interactions and AI agents. Work on scaling ingestion, real-time querying/notification, and fast search across terabytes of data. Collaborate with deployment teams and users to iterate on safe, impactful AI-driven user experiences.

Build and optimize Peregrine's mission-critical platform: design and ship large features, re-architect systems (e.g., Elasticsearch), improve performance, and collaborate with deployment and product teams to deliver reliable, production-grade infrastructure and capabilities.

Design and build core access control and data governance systems across a multi-tenant platform. Implement fine-grained permissions, auditability, policy enforcement, metadata management, and compliance features. Collaborate with product managers, own large components end-to-end, and mentor engineers while balancing security and usability.

Own and build the end-to-end data layer: design high-throughput real-time ingestion, architect petabyte-scale open table formats, implement and optimize Spark-based batch/stream pipelines, enable Kafka/Flink integrations, ensure performance/reliability/cost efficiency, define data contracts and schemas, and establish infrastructure best practices on AWS GovCloud, Kubernetes, and Airflow.

Lead and mentor engineering teams to design, build, and ship scalable, production-grade software. Own major features, drive technical decisions, collaborate with product and design, and ensure reliable distributed systems supporting real-time collaboration, high-scale data ingestion, and ML-powered features.

Lead and deliver large, production-grade software features across backend, frontend, and ML infrastructure. Mentor engineers, drive technical decisions, collaborate with product and design, and ensure scalable, well-tested systems that serve public safety customers.

Lead and evolve Peregrine's brand identity and campaigns, manage and mentor a creative team, partner with product and marketing to translate complex AI/data concepts into human-centered storytelling, and oversee visual, motion, digital, and environmental design across multi-channel initiatives.

Build and operate a centralized enablement system that maps personas to use cases and workflows, create templates, playbooks, demo scripts and training, deliver ongoing training and on-demand resources, partner with Product, Solutions Engineering, and Sales, incorporate field feedback, and measure adoption and impact.

Lead development of generative AI features and agents, scale platform to ingest and query terabytes of data in real time, optimize search and notifications, ship production-grade software across full stack, and collaborate with deployment teams and users to iterate on safe, impactful AI-driven user experiences.

Design, build, and operate petabyte-scale data infrastructure: real-time ingestion, storage (open table formats), and serving. Lead performance, reliability, and cost optimization across Spark and streaming pipelines (Kafka/Flink), define data contracts, and establish best practices and tooling. Collaborate with platform, product, and deployment teams to deliver production-grade data systems on AWS GovCloud, Kubernetes, and Airflow.

Lead product deployments for public-sector customers, identify high-impact workflows, design data models and pipelines, write code to integrate data, build executive relationships, and deliver mission-critical solutions with speed and quality.

Design, build, and operate petabyte-scale data infrastructure: real-time ingestion, storage (open table formats), and serving. Architect scalable Iceberg-based data lakes, optimize Spark pipelines and streaming (Kafka/Flink), drive reliability, cost efficiency, and data contracts; collaborate with product and platform teams and establish best practices and tooling.

Design, build, and operate high-throughput real-time data integration and storage systems. Architect open table format layers at petabyte scale, build and optimize Spark-based batch and streaming pipelines, manage stream processing (Kafka/Flink), orchestrate pipelines (Airflow), and ensure performance, reliability, and cost efficiency across the data stack. Collaborate with platform and product teams and own end-to-end data infrastructure.

Design and build core data governance and access-control systems for a multi-tenant data platform. Implement fine-grained permissions, auditability, policy enforcement, metadata management, data labeling, and compliance. Collaborate with product, architect scalable secure systems, drive projects end-to-end, and mentor senior engineers to elevate engineering and security practices.