The Role:
The Solution Manager (SM) role is a critical nexus point for data management, project governance, and hands-on client coaching. As a Solution Manager, you will operate at the intersection of data, technology, agronomy, customer delivery, and sales enablement. The SM is the main account owner, the gatekeeper for the customer lifecycle and the professional hands-on coach.
This is a highly cross-functional role that combines end-to-end project ownership, deep solution expertise, and active participation in pre- and post-sales processes. You will take full ownership and autonomously own and govern customer engagements from kickoff through implementation and adoption, while also supporting sales teams with agronomic expertise, product demonstrations, proof-of-concept (POC) execution, and opportunity validation.
You will serve as a trusted and highly effective advisor to customers and internal stakeholders alike ensuring successful delivery, strong adoption, and measurable business impact.
Key Responsibilities:
End-to-End Project & Delivery Ownership
- Manage and own the formal gates for customer phase transitions, through kick-off, onboarding, and ongoing execution, including metric validation and stakeholder engagements.
- Ensure account health, and meeting project scope, milestones, success criteria, and delivery targets.
- Manage timelines, risks, dependencies, and changes across multiple concurrent projects.
- Ensure seamless execution and high-quality delivery in customer-facing environments.
Customer-Facing Leadership
The role is highly dynamic in terms of workplace, often requiring in-person, face-to-face training sessions, frequent field visits, and extended on-site work at client offices.
- Act as the primary point of contact for assigned customers.
- Expertly lead kickoff meetings, implementation workshops, training sessions, and status reviews.
- Act as the hands-on technical coach and trainer during the Onboarding phase, guiding users through practical application and scenario-based training.
- Drive deep, hands-on engagement with customers across the entire post-sales lifecycle (Onboarding, Adoption, and Growth), leading all professional training and optimization sessions on a regular cadence.
- Proactively manage expectations, escalations, and stakeholder alignment.
Cross-Functional Interface Management
- Serve as the central coordination point between customers and internal teams (Sales, Product, Engineering, Data Science).
- Translate customer needs into structured technical and operational requirements, support continuous improvement and optimization initiatives. Work closely with domain experts and product teams to continuously increase product knowledge, professionalism, and customer-facing expertise.
- Drive alignment and execution across multiple internal workstreams to ensure customers reach defined value milestones and measurable outcomes.
Sales Enablement & Agronomic Expertise
- Help drive sales process through professional agronomic knowledge and hands-on support to sales teams.
- Coordinate with the Sales team and perform professional product demonstrations for prospects and customers, as needed.
- Act as a domain expert during customer discussions, helping translate agronomic and business needs into platform capabilities.
About You:
- 3–6 years of experience in Customer Success, Solution Management, Project Management, Sales Engineering, Agronomy, or similar customer-facing roles.
- Proven ability to manage complex, multi-stakeholder projects end-to-end.
- Experience supporting sales processes, including demos, POCs, and opportunity validation
- Strong analytical mindset and comfort working with large datasets.
- Excellent communication skills and ability to explain complex concepts to non-technical audiences.
- Highly organized, proactive, and solution-oriented.
- Ability to thrive in a fast-paced, customer-intensive environment.
- Background in agriculture, AgTech, or data-driven domain solutions.
- B.Sc. or M.Sc. in Agriculture, AgriTech, Plant Protection, or a related field.
- Experience supporting sales processes, including demos, POCs, and opportunity validation (advantage).
- Strong analytical mindset and comfort working with large datasets (advantage).
