Intenseye · 4 hours ago
Solutions Engineer (Implementation)
Intenseye is building an advanced AI-powered platform for industrial environments to enhance workplace safety. They are seeking an Implementation Solutions Engineer to lead the technical deployment of their safety platform across major manufacturing facilities, ensuring successful integration and operation of their technology.
AnalyticsArtificial Intelligence (AI)Computer VisionGenerative AISoftware
Responsibilities
Support sales team during technical proof-of-concept phases when specialized deployment expertise is needed
Lead end-to-end technical implementation of Intenseye solutions (Edge, Cloud, Hybrid)
Configure and deploy IP camera integrations (RTSP/ONVIF) across various VMS platforms (Avigilon, Genetec, Milestone)
Deploy and configure industrial protocol integrations (OPC UA, EtherNet/IP, Modbus TCP/RTU) with PLCs, SCADA, and IoT
Set up secure, outbound-only connectivity to Intenseye cloud services
Design deployment architectures, including edge processing, server specs, and network topology, based on customer constraints
Conduct IT requirements reviews, camera compatibility assessments, and validate technical prerequisites pre-deployment
Configure safety rules and use cases (PPE, restricted zones, LOTO) based on customer EHS requirements
Partner with Implementation Managers and Customer Success Managers to ensure smooth technical handoffs throughout the customer lifecycle
Work with Product and Engineering teams to identify custom solution requirements, escalate bugs, and provide field feedback
Collaborate with Security/Compliance teams to address customer IT security questionnaires and technical due diligence
Monitor deployment stability, coordinate model fine-tuning, and create technical documentation/runbooks for customers
Collaborate cross-functionally with Implementation Managers, Product/Engineering, Security/Compliance, and Sales teams
Qualification
Required
3+ years in technical implementation, solutions engineering, or systems integration deploying enterprise software/hardware
Strong expertise in networking (TCP/IP, DNS, VLANs, firewalls, VPN) and Windows/Linux server administration/virtualization
Hands-on experience with IP camera systems, RTSP, and Video Management Systems (VMS)
Experience with enterprise IT in manufacturing, logistics, or industrial environments (Fortune 500 a plus)
Ability to independently troubleshoot complex, multi-vendor technical environments
Proficiency with cloud connectivity (AWS/GCP/Azure), REST APIs, edge computing, and video codecs (H.264/H.265)
Excellent technical communication, project management, and customer-centric soft skills
Self-directed problem-solver with a willingness to travel up to 30-40% for on-site deployments
Familiarity with industrial systems (PLC, OPC UA, Modbus, SCADA) and DevOps tools (Docker, Python scripting) is a bonus
Excellent technical communication skills with ability to explain complex concepts to non-technical stakeholders
Strong project management skills with ability to manage multiple customer deployments simultaneously
Customer-centric mindset with focus on delivering successful outcomes under tight timelines
Self-directed problem solver who can work independently in remote customer environments
Willingness to travel up to 50-60% to customer sites for on-site deployments and troubleshooting
Preferred
Industry certifications: CCNA, CompTIA Network+, AWS Certified Solutions Architect, Azure Administrator
Experience with BalenaOS, fleet management platforms, or IoT device management
Background in EHS (Environmental Health & Safety) or workplace safety systems
Familiarity with AI/ML model deployment, computer vision, or edge AI applications
Experience with Apache Pulsar, NATS, or other message queue systems
Benefits
Hybrid Work - Remote + NYC office
Employee Stock Option Package
Comprehensive Family Medical Insurance, Dental & Vision
401(k) with employer matching
Life Insurance
Parental Leave
Annual Learning & Development Stipend
Flexible PTO
Company
Intenseye
Intenseye uses AI for real-time video analysis, enhancing safety, detecting hazards, and improving efficiency across industries.
Funding
Current Stage
Growth StageTotal Funding
$93.1MKey Investors
Lightspeed Venture PartnersInsight Partners
2024-02-27Series B· $64M
2021-09-21Series A· $25M
2021-02-11Seed· $4M
Recent News
2025-05-04
2025-01-02
Company data provided by crunchbase