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About the Role
Electric Plant is building a new category of technology that connects directly to plants, decodes their electrical signals, and turns that into useful intelligence for the people who manage plants at scale. Our go-to-market is forward-deployed — we embed alongside our customers and co-build the working solution in the field. We're hiring our first Deployment Lead to own the bridge from early pilots to real, repeatable deployments: standing up our first customer deployments, owning the relationship with the customer's leadership, translating plant intelligence into business value, and building the playbook (and eventually the team) that scales us from the first deployments to thousands and then millions of connected plants. The ideal person has founded or helped build an AgTech company and has personally deployed technology with real agricultural customers. You'll work directly with our CEO on the first deployments and have a genuine hand in shaping how this entire motion gets built. Our Deployment Lead will be based out of our San Francisco HQ, but there will be significant travel. If you're entrepreneurial, fluent in both the agriculture and the business, and energized by making powerful-but-early technology actually work in the field, this role is in the sweet spot.
Responsibilities
- Own customer deployments from kickoff through value realization, ensuring successful field operation and customer satisfaction.
- Build trusted relationships with customer leadership, including CEOs, owners, presidents, and operators of large agricultural businesses.
- Translate plant intelligence into tangible business value, such as irrigation decisions, operational changes, ROI, and actionable outcomes.
- Orchestrate cross-functional deployment teams, including field engineering, agronomy, customer operations, and product, to ensure seamless workflow.
- Collaborate with the CEO on initial deployments and develop a repeatable deployment playbook.
- Act as the customer-facing power user of the software platform and provide field-based feedback to engineering for product improvement.
- Define successful deployment criteria, including installation, measurement, validation, reporting, and trust-building.
- Transform field learnings into repeatable processes, such as checklists, SOPs, customer rhythms, and feedback loops.
- Identify opportunities to deliver additional value through new use cases, insights, sites, workflows, and model improvements.
- Build the operational foundation for a future deployment team to support scaling efforts.
Requirements
- Proven experience deploying a technical product with real agricultural customers.
- Fluency in agriculture or horticulture business operations and decision-making processes.
- Entrepreneurial mindset with comfort in ambiguity and unfinished systems.
- Strong commercial judgment, including executive relationship management and pilot structuring.
- Ability to build trust and maintain customer confidence through honest communication.
- Obsessive attention to operational details, including checklists, follow-up, and SOPs.
- Technical literacy across hardware, connectivity, data, and software.
- Comfort operating as the first person in a function with limited existing support or tooling.
- Low-ego and high-agency, with a willingness to co-pilot and learn quickly.
- Willingness to travel significantly and work directly with customers in non-traditional office environments.
- Experience as a former AgTech founder, co-founder, or early operator who has sold, deployed, supported, and iterated a technical product with agricultural customers.
- Adjacent profiles with real ag-customer exposure and field operations experience are also considered.
Skills
- Hardware deployment
- IoT deployment
- Sensor deployment
- Connected-device deployment
- Precision agriculture
- Irrigation technology
- Orchard/specialty-crop technology
- Controlled-environment agriculture
- Environmental monitoring
- Forward-deployed solutions
- Field applications
- Solutions engineering
- Pilot program management
- Technical implementation
- Playbook development
- Data fluency
- Metadata analysis
- Data labeling
- Signal quality assessment
- Ground truth validation
- Dataset building
- AgTech
- Climate tech
- Robotics
- Hardware-software integration
Location
- San Francisco, CA
- Remote (significant travel required)
Work Type
- Full-time
- Permanent
- Hybrid
Experience Level
- Early-stage company experience
- Founder/Co-founder experience
- Early operator experience
Salary/Compensations
- Competitive compensation for a Bay Area seed-stage company
- Meaningful early-stage equity
Benefits
- Standard benefits
About the Company
- Building a new category of plant and tree intelligence using IoT hardware and AI.
- IoT hardware measures electrical signals and environmental data.
- Foundation model decodes signals into real-time insights on plant health, growth, and stress.
- Operates at the intersection of biology, hardware, AI, and IoT.
- Closed seed round in November 2025.
- First commercial deployment launching in August.