Deployment Lead

The Electric Plant•San Francisco, CA

3d•Hybrid

About The Position

The Electric Plant Co. is building a new category of plant and tree intelligence. Our IoT hardware measures the hidden electrical signals in plants and trees, paired with environmental data, and our foundation model decodes those signals into real-time insights about plant health, growth, and stress. We're a small, fast-moving company in San Francisco working at the intersection of biology, hardware, AI, and IoT. We closed our seed round in November 2025 and our first commercial deployment launches in August. The Role We're hiring our first Deployment Lead to shape early pilots and scale 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 helping develop the playbook that scales us from the first deployments to thousands and then millions of connected plants. Our go-to-market is forward-deployed, embedding alongside our customers to co-build the working solution in the field. 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.

Requirements

You have personally deployed a technical product with real agricultural customers. Not just sold it, not just supported it from a distance — you have made early technology work in the field.
Agriculture or horticulture business fluency. You do not need to be a scientist; we have agronomy and science expertise for that. But you need to be credible with an owner or operator and understand how agricultural businesses make decisions.
Entrepreneurial, build-from-scratch instincts. You are comfortable with ambiguity, unfinished systems, biological variability, and customers who need value before the playbook exists.
Strong commercial judgment. You can own an executive customer relationship, work with the CEO to structure a pilot, and understand what matters economically.
Trust-builder. You can be honest about what's proven, what's still being learned, and what we need to do next without losing the customer's confidence.
Operationally obsessive. Checklists, follow-up, ownership, meeting notes, action items, SOPs, internal handoffs. You treat process as leverage, not bureaucracy.
Technically literate across hardware, connectivity, data, and software. You do not need to be the person debugging the device or writing the software, but you need to understand enough to coordinate the work and ask the right questions.
Comfortable joining an early deployment effort where many of the processes, tools, and best practices are still being developed.
Low-ego and high-agency. Early deployments break. You are happy to co-pilot with the founder at first, learn quickly, and gain more autonomy as the motion becomes real.
Comfort with significant field travel and working directly with customers outside a traditional office environment.
The bullseye candidate has been an early operator in AgTech and has sold, deployed, supported, and iterated a technical product with agricultural customers. Adjacent profiles can work if you have real ag-customer exposure and have operated close to the field.

Nice To Haves

Hardware, IoT, sensor, or connected-device deployment experience.
Precision agriculture, irrigation technology, orchard / specialty-crop technology, controlled-environment agriculture, or environmental monitoring experience.
Prior forward-deployed, field applications, solutions engineering, pilot-program, or technical implementation experience.
Experience turning early customer deployments into repeatable playbooks.
Data fluency: metadata, labeling, signal quality, ground truth, or the realities of building useful datasets from messy field environments.
Experience at an early-stage AgTech, climate tech, robotics, IoT, or hardware-software company.

Responsibilities

Own our first customer deployments from kickoff through value realization. This isn't a simple handoff from sales. You're the person responsible for making the deployment work in the field and for the customer.
Build trusted relationships with customer leadership, especially CEOs, owners, presidents, and operators running large agricultural businesses.
Translate plant intelligence into business value: irrigation decisions, operating changes, ROI, expansion opportunities, and the concrete outcomes the customer will actually act on.
Orchestrate the deployment team across field engineering, agronomy, customer operations, and product; make sure the work flows as one system instead of separate functions.
Work shoulder-to-shoulder with our CEO on the first deployments, then help turn that founder-led motion into a repeatable deployment playbook.
Be the customer-facing power user of Foundry, our software platform, and a key source of feedback as the engineering evolves our toolkit.
Help define what a successful deployment looks like: what gets installed, what gets measured, what gets validated, what gets reported, and what earns the customer's trust.
Turn messy field learning into repeatable process: checklists, SOPs, customer rhythms, internal feedback loops, and deployment practices that make the next deployment faster and better.
Look opportunistically for where the system can deliver more value: new use cases, new insights, new sites, new workflows, and new ways the model can improve through deployment.
Support the development of deployment processes, tools, and operating practices that make future deployments more effective.