Engineering Manager, IoT Development

Andium is an Industrial Internet of Things (IIOT) company focused on helping Oil & Gas companies achieve Net-Zero emission goals through innovative technology. They are seeking a seasoned Engineering Manager to lead their IoT development efforts, overseeing hardware and software integration while fostering a high-performance team culture.

Responsibilities:

• Lead, coach, and grow engineers across embedded firmware/software, hardware (electrical & mechanical), and adjacent teams
• Drive a high-performance team culture grounded in accountability, psychological safety, and continuous improvement
• Comfortable co-facilitating core agile/scrum ceremonies — sprint planning, backlog refinement, retrospectives, and reviews — with precision and consistency
• Own team velocity metrics, delivery health, and engineering throughput KPIs
• Partner closely with Product Management to align roadmap execution with team capacity and technical feasibility
• Help lead end-to-end delivery of IoT hardware and firmware programs — from component selection and EVT/DVT through production readiness
• Manage hardware development milestones, design freeze gates, and cross-discipline dependencies (mechanical, electrical, embedded)
• Translate hardware constraints, lead times, and supply chain risks into clear engineering plans and stakeholder communications
• Drive technical risk identification across hardware/firmware integration points, ensuring edge cases are surfaced and resolved early
• Serve as the engineering-side owner for contract manufacturer (CM) relationships — managing NPI handoffs, yield issues, and production quality gates
• Collaborate with supply chain on component sourcing strategy, approved vendor lists (AVLs), and EOL mitigation planning
• Drive BOM governance and DFM/DFT review processes in partnership with electrical and mechanical engineering teams
• Drive manufacturing readiness reviews (MRR) and ensure cross-functional sign-off before production milestones
• Interface with DevOps Engineering to ensure firmware deployment pipelines, OTA update infrastructure, and device provisioning systems are production-grade
• Partner with AI/ML Engineering to scope and integrate on-device or edge inference capabilities into IoT platform features
• Support Developer Experience (DX) Engineering in defining internal tooling requirements that improve hardware and firmware team workflows
• Collaborate with Product and Engineering leadership to refine the organizational model as teams scale

Requirements:

• 5+ years of experience in hardware or IoT engineering, with 5+ years in an engineering management or technical leadership role
• Direct, hands-on experience with embedded systems development — firmware, RTOS, bare-metal, or equivalent
• Deep familiarity with hardware development lifecycle stages — EVT, DVT, PVT, MP
• Proven track record managing or closely partnering with contract manufacturers across NPI, ramp, and sustaining engineering
• Practical knowledge of supply chain fundamentals — component sourcing, lead time management, BOM governance, AVL strategies
• Experience running Agile/Scrum teams with measurable delivery outcomes
• Strong communication skills — able to translate hardware constraints and technical complexity to executive stakeholders and cross-functional partners equally well
• Embedded C/C++, firmware OTA update architectures, RTOS fundamentals
• Schematic review, PCB design trade-offs, signal integrity concepts
• Mechanical enclosure design, IP ratings, thermal management considerations
• IoT connectivity protocols — MQTT, LTE-M, NB-IoT, LoRaWAN, BLE, Zigbee
• Cloud-connected device architectures — edge compute, device shadow/twin, telemetry pipelines
• CI/CD for firmware — build systems, simulation environments, hardware-in-the-loop (HIL) testing
• AI/ML at the edge — awareness of model quantization, TinyML, or on-device inference trade-offs is a plus
• Builder mentality — you create structure where ambiguity exists and process where chaos tends to live
• Player-coach orientation — not afraid to get into technical details when your team needs it
• Data-driven — you track the right metrics and use them to make decisions, not just report upward
• High trust communicator — proactive, clear, and calibrated across engineering, product, and executive audiences
• Experience in industrial IoT, energy, oil & gas, or critical infrastructure environments
• Prior exposure to multi-sensor data fusion, edge AI platforms, or real-time monitoring systems
• Familiarity with platform-product transitions — from services-led delivery toward scalable software platform models
• Background in both hardware-centric and software-centric product organizations
• Experience working with Jira, Confluence, or comparable tools for program/project tracking