Deployment Lead

As Realm’s first Deployment Strategist, you’ll turn customer problems into workflows that operators use every shift, and you’ll prove the value with data. You’ll own each deployment from discovery, deployment planning, adoption, and value measurement, working alongside the Forward Deployed Engineering and Product functions. When the product can’t do something yet, you’ll close the gap yourself with a manual report, a quick analysis or a prototype, then make the case for what engineering should build.

This role is hands-on and customer-facing. This role suits someone who is comfortable in front of executives and in the field, who does whatever it takes to deliver, and who wants to shape a product through direct contact with the people using it.

What You’ll Do

• Spend ~25% of your time onsite with customers across North America
• Learn the operation firsthand. Shadow operators, supervisors and site leaders to understand their workflows, constraints and what success means to them.
• Own the deployment plan for each customer. Set goals with each customer, run the weekly cadence with their leadership, and hold both Realm and the customer accountable for results. Report risks early and directly.
• Run the weekly cadence with customer stakeholders, including leadership, and report on progress, risks, and next steps with clarity and confidence
• Build to fill gaps. Use SQL, Python or AI coding tools to create reports, dashboards and lightweight tools that solve a customer problem now and test whether it’s worth building properly.
• Shape the product. Turn what you see in the field into clear requirements, backed by data and site observations, and help Product and Engineering decide what to build next.
• Support growth. Join sales visits to show prospects what Realm can do in their environment, and find expansion opportunities in existing accounts.
• Build the function. Help build the processes, playbooks, and culture that will scale Realm’s deployment function., Leads tiger teams and worldwide deployment activities for hardware and software upgrades across consular facilities. Responsibilities include server installation, hardware configuration management, operating system and security configuration, application upgrades, Oracle database changes, site surveys, logistics coordination, technical documentation, deployment schedules, project planning, SOP maintenance, and server refresh planning. Top Skills: Oracle Database Rise Baking Company, Lead the launch of ElevenLabs voice and audio AI solutions in a new market. Build and manage a team of forward-deployed engineers, engage strategic customers and executives, identify use cases, architect bespoke integrations, deliver demos, and oversee major implementations. The role combines technical prototyping, customer consulting, commercial strategy, team leadership, and collaboration with Research and Product teams to improve AI products and expand adoption. Top Skills: Api IntegrationAudio AiPythonVoice Ai

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Must-Have Qualifications

• 3-5 years in a customer-facing technical role (deployment, forward deployed, solutions engineering, TPM or product) where you owned outcomes, not only tasks
• A track record of leading complex deployments or projects end to end, including cross-functional work without formal authority
• You’ve built a process, playbook or team practice from scratch that others adopted
• Comfortable running meetings with senior stakeholders and delivering bad news
• Strong product judgment: you can tell what a customer asks for from what they need, and write it down clearly
• Hands-on building skills: you can put together a working report, dashboard or tool quickly
• Clear communication with everyone from frontline operators to executives
• US citizen or permanent resident, * Deployed technology in industrial, mining, energy or government settings, and understand constraints like safety, uptime, shift schedules, connectivity and compliance (e.g., MSHA)
• Familiarity with computer vision, AI/ML, IoT or real-time data products, enough to explain what they can and can’t do
• Experience mentoring, managing or hiring
• Experience in sensitive or mission-critical customer environments

• Work on mission-critical problems at the intersection of AI, security, and global infrastructure
• Shape the brand and product of a category-defining company from the ground up
• High-ownership, high-impact role with direct influence on company growth
• Competitive compensation with significant equity upside
• Dynamic, remote work environment with global reach

Perks/Benefits

Full medical, dental, and vision benefits

Unlimited PTO

401(k) with 4% safe-harbor match

Equity in an early-stage, fast-growing company

Home office allowance, Remote United States 160K-180K Annually Senior level 160K-180K Annually Senior level Food Leads a 24-month operating-model deployment across multiple plants, managing initiative rollout, adoption, waste reduction, continuous improvement, and downtime reduction. Builds data-driven action plans, coaches plant CI and operations leaders, validates implementation effectiveness, maintains governance tracking, escalates blockers, and transfers learning between plant teams and the central program. Requires substantial travel, daily plant-floor engagement, Lean/Six Sigma expertise, analytics fluency, and strong execution and coaching capabilities. Top Skills: LaunchpadLeanPatchSAPSix SigmaSmartsheet ElevenLabs

Posted Yesterday Be an Early Applicant Remote Hiring Remotely in USA Mid level Remote Hiring Remotely in USA Mid level Own end-to-end customer deployments for an AI platform used in mining. Learn site operations, create deployment plans, manage stakeholder cadences, track risks and value, and support adoption. Build reports, dashboards, and lightweight tools using SQL, Python, or AI coding tools. Translate field observations into product requirements, support sales and account expansion, and help establish scalable deployment processes and playbooks. The summary above was generated by AI Company Overview

Realm builds AI for the mining industry. We integrate with existing mine infrastructure - cameras, SCADA systems, drones, and data repositories - to predict equipment failures, detect unsafe behaviors, and optimize operations. Our platform deploys intelligence in various ways to improve productivity and safety - monitoring PPE compliance via computer vision, optimizing froth flotation processes, analyzing longwall shearer performance, tracking MSHA citation patterns, and more.

Our founders started their careers at Palantir before going on to build Blend Labs (publicly traded fintech, founded as CTO) and Even (acquired by Walmart). Our leadership team brings experience from Uber, Metropolis, and other high-bar organizations. We’re a small, senior team that ships daily to production mines.

AI isn’t just our product - it’s how we build. We’re an AI-first engineering team that uses the latest models and tooling throughout our development process, moving faster and at higher quality than traditional teams our size.

Our culture values high agency, deep ownership, collaboration, and autonomy across a fully remote workforce. Teams here move quickly and make meaningful contributions to a product that shapes global industrial outcomes.