Senior Product Manager
We are looking for a Senior Product Manager to lead the development of an AI-driven operations platform that translates operational standards, farm data, and real-world constraints into plans, daily actions, and controlled workflows.
Responsibilities
- Own product discovery, requirements, and delivery for core operational workflows.
- Map complex real-world processes and translate them into clear product logic, user journeys, and system requirements.
- Define workflows for planning, task execution, approvals, exceptions, replanning, and operational reporting.
- Work with domain experts to convert standards and business rules into structured product requirements.
- Define which decisions should be automated, which should use AI, and which require human review.
- Write clear product specifications, acceptance criteria, and process diagrams.
- Prioritise the roadmap based on operational impact, user needs, and technical constraints.
- Work closely with engineering throughout design, development, testing, and rollout.
- Spend time with field and operational users to understand how the product performs in practice.
- Measure adoption, process compliance, execution quality, and business outcomes.
- Ensure that new features simplify operations rather than digitising unnecessary complexity.
- Coordinate integrations and data flows between internal and third-party systems.
Requirements
- Significant experience as a Product Manager or Senior Product Manager in a technology company.
- Experience building complex B2B, operational, or workflow-driven software.
- Strong ability to understand ambiguous processes and convert them into structured product requirements.
- Experience working closely with engineering teams on backend-heavy or data-intensive products.
- Experience with AI-enabled products, intelligent automation, or decision-support systems.
- Strong understanding of how to combine automation, business rules, and human-in-the-loop workflows.
Nice to have
- Workflow automation, logistics, supply chain, agricultural operations, or industrial software.
- Products used by distributed field teams.
- AI agents, LLM-based workflows, or AI product evaluation.
- Offline-first or low-connectivity products.
- Experience working across multiple countries and operational environments.
Benefits
- A central role in building the digital infrastructure of two markets from the ground up
- Direct impact on business outcomes — without layers of bureaucracy
- Work at the intersection of agribusiness and enterprise technology
- Competitive compensation aligned with market rates
- Flexible working arrangement