FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.
Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.
Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.
Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.
We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected statu
You will own, integrate, and continuously improve our go-to-market stack — working both internally and with external implementation partners:
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Salesforce — system of record and the hub everything else connects into.
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ZoomInfo & Clay — enrichment, prospecting, and account/contact data quality.
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Gong — conversation intelligence and automatic activity capture.
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AWS & Snowflake — the GTM data layer and warehouse where clean CRM data flows for reporting and analytics.
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Claude — AI automation across the stack — used to clean data, automate manual GTM work, and accelerate reporting.
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Salesforce administration, configuration, and governance — objects, fields, page layouts, validation rules, and user management. You protect data quality aggressively and keep the org clean as we scale.
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Data and integrations: connecting ZoomInfo, Clay, and Gong into Salesforce, and the GTM data layer on AWS and Snowflake — partnering with our data team so clean, trusted data flows from the CRM into the warehouse for reporting and analytics.
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AI-assisted automation: building Claude-powered workflows that automate manual GTM tasks, enrich and clean records, and speed up reporting. You will be encouraged to find and ship these.
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Implementation partners: owning external implementation partners — you scope requirements, manage the engagement, and review what they deliver so changes land cleanly and don't create technical debt.
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Workflow and automation: lead routing, ownership rules, and SLA enforcement, plus the MQL→SQL→SAL handoff logic so no lead falls through the cracks and reps trust the system.
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Reporting and dashboards: pipeline stages and exit criteria, opportunity scoring, and the dashboards leadership and the board rely on — pipeline coverage, ARR, activity, and funnel conversion.
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Data hygiene: deduplication, normalization, and enrichment routines that keep Salesforce the source of truth. No forecast or comp calculation is worth anything on top of garbage data.
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Documentation and enablement: clear documentation of how every system and process works, so the stack does not live only in your head and the next hire can pick it up.
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2–5 years in RevOps, Sales Operations, Marketing Operations, or CRM administration at a B2B company.
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Hands-on administration experience with Salesforce — you can build fields, flows, validation rules, and reports yourself, not just file tickets.
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Strong data instincts: comfortable in spreadsheets at an advanced level, and able to spot when numbers are wrong before anyone else does.
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Experience integrating at least one adjacent GTM tool (e.g., ZoomInfo, Clay, Gong, or similar enrichment/intelligence tooling) with a CRM either on your own or working with external partners.
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Clear communicator who can translate a messy business request into a clean system requirement — and document it.
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Salesforce Administrator certification.
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Exposure to complex, multi-stakeholder enterprise sales cycles (pilots/POCs, land-and-expand) or hardware/services revenue models.
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Familiarity with Snowflake, SQL, or a cloud data stack (AWS), and comfort using AI tools like Claude to automate work.
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Experience managing external implementation partners or systems integrators.
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Experience at an early-stage, high-growth startup where you built process rather than inheriting it.
Field AI
Robotics · Series D · Mission Viejo, USA