Realmalliance
Forward Deployed Engineer - Birmingham, AL
Birmingham, AL · Exec
Sponsorship not specifiedDetected 115 days ago
GitCloud PlatformsLinuxDevOpsData EngineeringComputer VisionLeadershipCommunicationCollaborationProblem SolvingSCADA
About the role
- 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 leadership team brings experience from Uber, Metropolis, and other high-bar organizations.
- We're a small, senior team that ships daily to production mines.
Responsibilities
- Build a ground-truth understanding of customer operations-shadowing operators, analysts, and frontline teams to understand workflows, constraints, and integration requirements
- Rapidly prototype tools and integrations in the field ("vibe-coding") to validate ideas, solve urgent problems, and prove feasibility before handing off to engineering
- Lead all technical integration work, including APIs, data pipelines, hardware/software interfaces, and security/compliance-sensitive deployment setups
- AI isn't just our product - it's how we build.
Requirements
- 2+ years of software engineering or forward deployed / mission operations experience, with a record of shipping impactful work
- Experience working directly with enterprise, industrial, government, defense, or security-critical products
- Strong technical fluency and the ability to work closely with engineers-comfortable reading, writing, and debugging code enough to build prototypes
- Low ego, high EQ, and exceptional collaborative instincts-able to build trust inside Realm and with external partners
- Strong coding skills, problem-solving ability, and grasp of computer science fundamentals
- Mastery of core development/infrastructure/DevOps tools (Git, Linux)
- Demonstrated ability to lead cross-functional problem solving, influence technical teams, and drive projects from inception to delivery
- Ability to thrive in ambiguous environments-strong prioritization, structured thinking, and comfort balancing long-term vision with immediate needs
- Excellent written and verbal communication skills, able to simplify complexity for a wide range of stakeholders
- Strong data instincts-comfortable analyzing data, forming hypotheses, and making data-informed decisions
- Hands-on prototyping and AI-assisted coding skills; comfortable hacking together real solutions quickly to test ideas
- Move fast, can tackle ambiguous problems, and sweat the details
Nice to have
- Background deploying software to industrial or government settings, with an understanding of constraints like safety, latency, offline ops, or compliance
- Familiarity with mobile or web applications, cloud infrastructure, IoT/industrial systems, or real-time data pipelines
- Experience navigating sensitive or mission-critical customer environments
- Expertise around mining, industrial safety regulations, etc.
- 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
- Based in US - citizen (preferred) or permanent resident
Compensation
- Competitive compensation with significant equity upside
Company info
- Our culture values high agency, deep ownership, collaboration, and autonomy across a fully remote workforce.
- Ensure customers succeed in mission-critical contexts by enabling smooth deployment, data flow, connectivity, and operational reliability
- 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).
- Spend >50% of your time onsite with customers in Birmingham, AL
Visa & Work Authorization
- Based in US - citizen (preferred) or permanent resident
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This listing is sourced directly from Realmalliance's careers page and normalized into a canonical job model.