Operations Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $130k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

⚙️ Operations

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Logo of Fullsteam

Fullsteam

1001 - 5000 employees

🚘 Automotive

🏥 Healthcare

📦 Logistics

Automotive • Healthcare • Logistics

Fullsteam is a leading provider of modern and scalable payments technology integrated with vertical software to offer industry-specific features and end-to-end business management systems. It delivers mission-critical infrastructure and technology, empowering a wide range of niche industries such as automotive, healthcare, recreation, and self-storage. Fullsteam's cloud-first payments technology is designed for secure, seamless integration with other vertical software, transforming how various industries conduct business. The company also offers membership and event management software for nonprofits, as well as ERP solutions for B2B markets.

📋 Description

• Identify the highest-leverage business problems within an assigned business unit, including P&L lines, operational bottlenecks, and customer pain points • Build and ship working AI solutions on the agentic operating system • Encode business-unit domain knowledge into structured skills and context files for autonomous use by AI agents or new hires • Drive adoption through working demonstrations to skeptical stakeholders • Change positions based on evidence, including data, usage, logs, and unflattering results • Operate with resilience under resistance while maintaining momentum • Deliver measurable before-and-after outcomes from a personally led transformation

🎯 Requirements

• Domain fluency in at least one of: finance, operations, customer support, or engineering • Daily, hands-on use of AI as an operator, demonstrating live agents, automations, or skills libraries in production • Ability to cross disciplines and build practical tooling • Strong written communication; ability to produce standalone specs and context documents • High learning velocity • Comfort operating at pace under ambiguity • Evidence-driven decision-making • Demonstrated personal experience transforming a process, department, or product with measurable before-and-after results • Proven, current, hands-on experience using AI tools and agents in a production or business context • 1–3 years of software development or programming experience • 3+ years of operational experience improving business processes and delivering measurable outcomes • Experience operating across business, technology, and people disciplines • Track record of shipping early-stage functional solutions and iterating based on feedback • Comfort embedding within an operating business unit and working autonomously with minimal supervision • Master’s degree in Data Science, Statistics, Artificial Intelligence, or a related quantitative or technical field

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