Operations Lead

Arcadia is the AI-powered energy intelligence platform for businesses. We replace fragmented tools and manual workflows with one platform to pay utility bills, buy energy, and advance sustainability — across every location, at enterprise scale. Trusted by Fortune 2000 companies, Arcadia combines unified data, AI-powered analytics, and expert advisory to help enterprise teams save money, mitigate risk, and cut carbon . We deliver this through three comprehensive solutions: Utility Bill Management: Automating the entire utility bill lifecycle — from data capture and validation to payment processing and auditing. Energy Procurement Advisory : Bringing together comprehensive data, AI-powered analytics, market expertise, and a strong partner network to make sophisticated procurement options accessible to all. . Sustainability Reporting — Verified emissions data with seamless integration into leading sustainability platforms. Tackling the world's most complex energy challenges requires diverse thinking. We're building teams of people from different backgrounds, industries, and disciplines — united by a belief that energy management should be simple, intelligent, and a genuine driver of business value. What we’re looking for: Most companies adopt AI by bolting it onto how they already work. The teams that pull ahead go further: they rethink the workflow itself, so people spend less time on repetitive work and more on the problems that actually need them. AI is already gaining momentum across Arcadia. This role exists to make it take hold: to turn early wins into scaled, lasting change. The AI Operations Lead is the product owner of Arcadia's AI transformation. You will work directly with teams across the company, in product, engineering, go-to-market, finance, and operations, to learn how the work actually happensdefine the highest-leverage AI opportunities, and drive them from idea to adopted workflow. In practice that means owning the road map and requirements for the Claude skills, agents, and workflows teams adopt, partnering with engineering to build them, and establishing the patterns, standards, and champion network that let those wins compound long after you have moved to the next team. The role reports into R&D Operations, the function that already connects these teams, and carries a mandate that spans all of them. Outcomes are the bar. An AI workflow earns its place by what it changes for the team, not by how novel it is, and that standard decides what scales and what gets retired. You will hold the work to that test: adoption that holds, time given back to people for higher-value work, and workflows that outlast the team where they started. You are as fluent in scoping a Claude skill and writing the requirements behind it as you are mapping a messy process or bringing a skeptical team along, and you solve a problem once, turn it into a pattern, and hand it to the rest of the company. Arcadia is open to fully remote candidates and employees have access to co‑working spaces. #LI-REMOTE "Remote first" culture - work anywhere in the continental US as long as you have a reliable internet connection Flexible PTO - no accrued hours and no limit on the number of vacation days exempt employees can take each year 11 annual holidays 10 days sick leave Up to 2 weeks bereavement leave 2 professional development days off Parental Leave Benefits for ALL parents 75-95% employer cost coverage for medical, dental, and vision benefits for employees and dependents Celebrating Diversity and Inclusion Here at Arcadia, we cultivate diversity, celebrate individuality, and believe unique perspectives are key to our collective success in creating a clean energy future. Arcadia is committed to equal employment opportunities regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any status protected by applicable federal, state, or local law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation by emailing View email address on click.appcast.io prior to completing your application. Target Annual Compensation Range for this role will be $127,500-$228,400. There will also be a competitive benefits and equity (bonus if applicable) component to the package. The exact compensation at which this job is filled will be determined by the skills, experience, and location of the qualified candidate. Please note that we are unable to offer visa sponsorship for this position at this time. Automated Screening: Arcadia uses AI‑assisted technology to evaluate candidates on relevant skills, experience, and education as outlined in the job description. Human review is part of all hiring decisions. Candidates may request an alternative selection process by contacting View email address on click.appcast.io before submitting their application. Data Privacy & California Residents: You voluntarily provide personal information (such as your resume, contact details, and assessment responses) when submitting an application. We may use this to evaluate your candidacy and derive inferences from this data to match your profile with open roles. For California Residents: This collection is consistent with the CCPA. You have the right to request access to or deletion of your data by contacting View email address on click.appcast.io. Select R&D & Data roles: We are proud to offer visa sponsorship opportunities for qualified candidates interested in joining our team Other roles: Please note that we are unable to offer visa sponsorship for this position at this time What you'll do: Embed team to team. Rotate through teams across the company to map current‑state workflows end to end: where time goes, where decisions stall, where handoffs between teams and functions compress or disappear. Translate that into a prioritized set of high‑leverage AI opportunities for each team, backed by a clear point of view on sequencing and expected impact. Own the product definition for Claude skills and workflows. Write the requirements, define the success criteria, and set priority for the reusable Claude skills, agents, and automations teams adopt, then partner closely with engineering to ship them. Redesign the workflow around the capability and outcome rather than bolting AI onto an unchanged process. Engage and grow the champion network. Every team is expected to have an AI champion. In many cases you'll help identify who that should be, then enable them to extend, maintain, and evangelize workflows after you've moved on, so capability compounds instead of depending on you. Codify what works. Turn every win into a reusable pattern (a shared library of skills, templates, and playbooks) so a solution built for one team becomes a starting point for the next. Keep builds safe and compliant. Partner with the governance lanes (Security & Compliance; AI Technical Approach) so every workflow meets Arcadia's data‑handling, classification, and human‑in-the‑loop standards by design. Measure and report impact. Track adoption, time saved, and workflow outcomes. Make the case for scaling what works and retiring what doesn't, and feed signal back to leadership. What will help you succeed: Must-haves: 5–8 years of product management, workflow, or process‑design experience, spotting where work breaks down across departments and turning that into prioritized, well‑scoped initiatives that teams actually adopted, not just launched. Extra credit if you've shipped AI‑enabled workflows or automations directly. Strong workflow- and process‑design instincts. You can sit with a team in any function, see the real operating model underneath the org chart, and define what needs to change. Fluency in translating a business problem into clear requirements and success criteria that engineering can build against, and in evaluating tradeoffs in a build even if you are not the one writing the code. The interpersonal range to win trust across very different teams and cultures, and to bring a skeptic along. A bias for reusable systems over heroics. You'd rather define the pattern once than solve the same problem ten times. Comfort operating in ambiguity inside a fast‑moving, post‑acquisition organization. Nice-to-haves: Experience standing up enablement, center-of‑excellence, or champion‑network models. Familiarity with AI governance concepts (data classification, human-in-the-loop, security review). Exposure to AI‑native operating models at high‑performing software organizations. Background in R&D, product, or engineering operations. Hands‑on experience building Claude skills, agents, or similar automations, though this is not required. What Success Looks Like (First Two Quarters): A repeatable engagement model for embedding with a team, mapping its workflow, and defining and shipping its first production AI workflow in partnership with engineering. A growing, self‑sustaining champion network across the company, with champions independently maintaining and extending what's been built. A shared skill-and-workflow library that measurably shortens the time to stand up the next team. Documented adoption and time‑saved outcomes that move teams out of the pilot loop and into scaled use. #J-18808-Ljbffr