Product Development Manager

We are seeking a highly skilled Product Development Manager with a strong technical background in electrical engineering, computer science, or computer engineering to lead the development of cloud-based IoT platforms and AI-driven digital transformation solutions. The ideal candidate must have expertise in IoT communication protocols, AI fundamentals, SaaS, PaaS, and IaaS business models, and experience managing product life cycles using Agile methodologies.

Additionally, the candidate should have strong project management skills with PMP certification and be capable of developing and executing go-to-market strategies, including applying the 5 P’s of marketing. Fluency in Arabic and experience in the Saudi or Gulf digital and communications market is highly preferred..

Responsibilities:

Product Development & Strategy

•Oversee the end-to-end product development lifecycle for IoT and AI-based cloud solutions.

•Define product roadmaps and prioritize features based on market trends, customer needs, and business impact.

•Ensure seamless integration of AI and IoT technologies into cloud-based platforms.

•Work closely with engineering, UX/UI, and data science teams to develop and launch innovative solutions.

Project & Agile Product Management

•Lead Agile development teams, manage backlogs, and ensure timely product releases.

•Apply Project Management (PMP-certified) methodologies to ensure efficient execution, risk management, and cross-functional collaboration.

•Track and measure KPIs to assess product performance and drive continuous improvement.

IoT Communications & AI Integration

•Oversee IoT device connectivity and cloud integration using MQTT, CoAP, LoRaWAN, NB-IoT, 5G, and OPC UA.

•Ensure the successful deployment of AI-driven analytics and automation into IoT platforms.

•Optimize edge computing and real-time data processing capabilities.

Business Models & Financial Analysis

•Develop SaaS, PaaS, and IaaS monetization models, including subscription, pay-per-use, and freemium strategies.

•Conduct financial modeling, ROI analysis, and pricing strategy development.

•Align product initiatives with business objectives and market trends.

Go-to-Market (GTM) Strategy & Marketing Execution

• Develop and implement go-to-market plans, applying the 5 P’s of marketing (Product, Price, Place, Promotion, People).

•Define customer segments, personas, and value propositions for AI and IoT solutions.

•Work with sales, marketing, and partnerships teams to enhance market adoption.

•Lead competitive analysis to ensure differentiation in the market.

Qualifications:

•Technical & Industry Knowledge

➢Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or Computer Engineering.

➢5+ years of experience in product development within IoT, AI, and cloud-based digital transformation.

➢Strong knowledge of IoT communication protocols (MQTT, CoAP, OPC UA, Zigbee, Modbus, LoRaWAN).

➢Experience in AI/ML deployment, cloud computing (AWS IoT, Azure IoT, Google Cloud IoT), and edge computing.

•Project & Product Management

➢PMP certification and expertise in Agile methodologies (Scrum, Kanban, SAFe).

➢Proven track record of leading cross-functional teams and managing complex product lifecycles.

➢Experience with JIRA, Confluence, or other project management tools.

•Business & Marketing Expertise

➢ Deep understanding of SaaS, PaaS, and IaaS business models.

➢ Strong background in financial modeling, pricing strategies, and market research.

➢ Ability to develop and execute go-to-market strategies, applying the 5 P’s of marketing.

•Regional & Language Expertise

➢Fluency in Arabic and English (both written and spoken).

➢Preferably with experience in the Saudi or Gulf digital and communications market.

➢Strong understanding of local regulatory requirements, market trends, and business culture in the region.

•Develop comprehensive automation and control system solutions, including:

➢Programmable Logic Controllers (PLC)

➢Distributed Control Systems (DCS)

➢Supervisory Control and Data Acquisition (SCADA)

➢Instrumentation systems (sensors, transmitters, actuators)

➢Safety Instrumented Systems (SIS)

➢Advanced Process Control (APC)

➢Manufacturing Execution Systems (MES)

• Experience in cloud platforms (AWS, Azure, Google Cloud).

•Knowledge of containerized applications (Docker, Kubernetes).

•Certifications in Agile Product Management, AI, IoT, or Cloud Computing