Business Operations

TLDR

Drive operational strategy and financial modeling to support a rapidly expanding AI platform in the mining industry, enhancing both productivity and safety.

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 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.

Our founders previously built Blend Labs (publicly traded fintech, founded as CTO) and Even (acquired by Walmart), with early careers at Palantir. We're a small, senior team that ships daily to production mines.

The Opportunity

Realm is rapidly expanding across the American coal mining industry, where we are positioned to boost coal production by $10B per year. To support that growth, we’re hiring a biz/rev ops generalist who thrives in ambiguity, loves building systems, and can partner closely with leadership to operationalize strategy across the business.

This role is 1/3 business operations & finance, 1/3 revenue operations & sales strategy, and 1/3 special cross-functional projects that unlock company-level impact.

What You’ll Do

Business Operations & Finance

  • Build and refine operational frameworks to track key business metrics

  • Lead financial modeling, forecasting, and scenario analysis

  • Assist with board decks, investor updates

  • Drive planning processes and translate strategy into executable deliverables

Revenue Operations & Sales Strategy

  • Partner with sales leadership to optimize pipeline performance and forecasting

  • Build and manage CRM structures and processes (Reevo/Attio/HubSpot or equivalents)

  • Develop sales analytics, incentive models, and operational cadence to drive revenue scaling

Special Projects

  • Lead cross-functional initiatives (e.g., pricing, GTM experiments, integrations, image labeling)

  • Create dashboards and reporting infrastructure for exec decisions

  • Improve internal tooling, automation, and processes to accelerate growth - experience vibe-coding is a huge plus

What We’re Looking For

Must-Have Qualifications

  • 5+ years of relevant experience in business ops, revenue ops, strategy, or finance

  • Early-stage startup experience

  • Low ego, high EQ, and a strong collaborator

  • You know how to ruthlessly prioritize, think clearly about trade-offs

  • Strong analytical capability - you’re confident with data, financial modeling, and metrics

  • Excellent collaborator with a bias for action in a fast-paced, high-growth environment

  • Comfortable operating with autonomy and prioritizing across ambiguous priorities

  • Move fast, can tackle ambiguous problems, and sweat the details

  • Based in US - citizen or permanent resident

Nice-to-Haves

  • Experience in SaaS or enterprise software scale-up

  • Revenue ops, GTM analytics, or sales enablement background

  • Familiarity with predictive analytics platforms or industrial tech

Why Realm?

  • Work on mission-critical problems at the intersection of AI, security, and global infrastructure

  • High-ownership, high-impact role with direct influence on company growth

  • Competitive compensation with significant equity upside

  • Dynamic, remote work environment with global reach

Realm is an AI-driven platform that transforms mining operations by reducing downtime and enhancing efficiency. It serves mining companies by integrating with their existing systems to predict equipment failures and ensure safer operations. What sets Realm apart is its ability to orchestrate real-time responses, preventing failures before they occur.

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