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Pre-sales technical role supporting Dedrone by Axon: master product technology, lead technical presentations and POCs, manage customer expectations, produce RFP/RFI responses and SOWs, coordinate pilots, provide first-level technical support, and develop partner relationships and technical documentation.

Lead pre-sales technical engagements for Dedrone airspace security: deliver technical presentations, support RFPs, manage POC/pilot logistics, develop SOWs, engage partners, and provide first-level technical support while traveling up to 50%.

Pre-sales Sales Engineer responsible for mastering Dedrone technology, leading technical and business presentations, managing POC/pilot deployments, responding to RFPs/RFIs, coordinating logistics across stakeholders, developing SOWs, and positioning products against competitors. Works cross-functionally, supports partners, provides first-level technical support through the sales cycle, and travels up to 50% to meet customers and attend industry events.

Work on deployment teams to capture customer outcomes, document user stories and workflows, discover complex requirements, configure the system, assess feasibility and change management, and design/execute functional acceptance tests and training to ensure successful software implementations.

Design, prototype and test densely packaged, battery-powered PCBs and electronic systems for UAVs/UGVs. Create schematics and multi-layer/rigid-flex layouts, build test rigs, verify boards, support firmware bring-up, and follow designs into manufacturing.

Design, build, and maintain cloud-based, fault-tolerant voice infrastructure for emergency 911 systems. Implement SIP routing, call state management, and provider integrations, drive platform architecture, collaborate across teams, and participate in on-call incident response to ensure uninterrupted call reliability.

Design, build, and maintain cloud-native voice infrastructure for 911 call handling, ensuring SIP routing, call state management, redundancy, and end-to-end reliability. Integrate with telephony providers, PSAPs, and partners, drive platform architecture, collaborate with operations and networking, and participate in on-call incident response for a zero-failure system.

As an AI Scientist, you'll develop advanced models in computer vision and machine learning, collaborating on cutting-edge AI applications for cloud and devices.

Lead quantitative and qualitative analysis for M&A, investments, and strategic initiatives. Drive diligence and execution, build financial models and board presentations, collaborate cross-functionally, and produce actionable strategic recommendations.

The role involves leading advancements in AI technologies, specifically LLM, MLLM, and Computer Vision, through research, mentoring, and developing models for law enforcement applications.