Product Manager - Enterprise Products

• Own the requirements and roadmap for our proprietary firmware and its companion applications, translating field, customer and business needs into device behaviour.
• Own over-the-air firmware release planning and rollout — staged deployment, rollback strategy, and adoption tracking across a large installed base.
• Work with embedded engineering to prioritise between new capability, reliability and field-serviceability.

• Own the software side of the device lifecycle: mobile device management (MDM) integrations, enrolment and provisioning journeys, policy and security configuration.
• Design the operational processes that surround enrollment at scale, and work with market teams to make them workable in the field.
• Manage integrations with external firmware and third-party device platforms.

• Own the products built on top of the telemetry our devices generate — end-user and internal applications, analytics and data exploration tools.
• Own the underlying data definitions: what the devices report, at what fidelity and frequency, and how that contract evolves as firmware and applications change on either side of it.
• Maintain and improve the pipelines and interfaces through which this data reaches the business.

• Partner with manufacturing, procurement, quality and logistics teams to build and improve systems and automations for their processes.
• Digitise shop-floor workflows and give the business visibility into throughput, yield and quality.

• Identify manual, document-heavy processes across logistics and build systems that automate paperwork generation, approvals and shipment status tracking.

• Work with stakeholders including customers, agents, operations, field teams, and business leads to identify workflow pain points.
• Document opportunities as structured briefs rather than simple ticket descriptions.
• Use AI to synthesize inputs, identify patterns, and convert ambiguity into actionable solutions.

• Build working proofs-of-concept using LLM APIs, automation tools, or lightweight scripts.
• Validate whether an AI-first approach solves the problem effectively.
• Ship quickly and learn even faster.

• Create sharp, handoff-ready documentation such as use cases, flow charts, PRDs, and system requirements.
• Use AI in documentation workflows but ensure accuracy by catching errors that AI may introduce.

• Coordinate releases, manage testing, and track adoption.
• Resolve stakeholder queries and issues through WhatsApp, ticketing tools, and email.
• Own rollout sequencing and ensure readiness across teams.

• Identify repetitive business processes and automate them using reliable tools.
• Perform regular assessments  to track, monitor, and drive product usage.

• Work closely with cross-functional groups and the development team throughout the product lifecycle.
• Keep stakeholders informed at every stage.

Background and approach

• A bachelor’s degree in Engineering (mandatory).
• 3–5 years of prior professional experience in product management, 
• Experience building software applications for IoT or connected-hardware products, or working closely with embedded/firmware teams.
• Ability to structure and analyze ambiguous problems.
• Clear communication skills across workflows, feature descriptions, Slack messages, and stakeholder updates.
• Comfort working across teams you have no authority over, and the patience to keep making a case with evidence rather than volume.
• Travel as required to Sun King markets and manufacturing / vendor sites.

Language

• Professional working proficiency in Mandarin (mandatory) — you will work daily with manufacturing, quality and vendor teams in China.
• Professional working proficiency in English (mandatory) — you will work with colleagues, field teams and stakeholders across our markets in Africa and Asia, and all product documentation is written in English.

Essential technical skills

• Hands-on experience with SQL.
• Working understanding of how connected devices report data — telemetry, cellular/GSM connectivity, data definitions, and over-the-air update mechanics. You will not write firmware, but you must be able to reason about it with the engineers who do.
• Comfort with APIs and integrations, including third-party device management platforms.
• Experience working with data to track and push product usage.
• A GitHub profile or portfolio with shipped prototypes, automations, or internal tools.
• Evidence of LLM and AI foundations (Anthropic courses, fast.ai, DeepLearning.AI, or equivalent self-learning).
• Comfortable using AI tools to build small automations, prototypes and internal tools.

Good to have

• Experience with manufacturing execution, quality control or shop-floor systems.
• Experience with supply chain, logistics or trade documentation workflows.
• Python or another scripting language for extraction, reconciliation and one-off analysis.
• Exposure to pay-as-you-go, asset finance, microfinance or emerging-market lending.