Engineering Manager, IoT Development

Andium Homes

7h•$160,000 - $200,000

About The Position

We're looking for a technically seasoned Engineering Manager to lead and scale our IoT development efforts. This is not a traditional EM role. You will sit at the convergence of hardware, embedded systems, supply chain, and software — co-owning delivery execution across multiple engineering disciplines while directly supporting the development of cross-functional team culture, process excellence, and technical quality. You bring hands-on depth in hardware/IoT engineering, comfort navigating contract manufacturing relationships, and the organizational instincts to run multi-team coordination across diverse engineering domains. You are a builder of people, processes, and systems — equally at home reviewing a firmware dependency as you are facilitating a sprint retrospective or partnering with supply chain on component EOL risk.

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.

Nice To Haves

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.

Responsibilities

Engineering Team Leadership
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.
Hardware & IoT Delivery
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.
Supply Chain & Contract Manufacturing
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.
Cross-Functional Coordination
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.