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Forward Deployed Engineer

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Remote

Forward Deployed Engineer

Re:Build Manufacturing

Forward Deployed Engineer

Skills

PythonSnowflakeMachine LearningAISupply ChainComplianceRisk Management

4 months ago

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Important information


Salary:

$120,223 – $180,334 / year

Location:

United States

Work mode:

Remote

Published on:

1 September 2026

What they need


Who you are

  • 3+ years of software engineering, solutions platform delivery or technical implementation experience, ideally in customer-facing contexts
  • Experienced in programming languages such as Python or similar, with a strong understanding of APIs and systems integration
  • Ability to rapidly understand unfamiliar technical ecosystems and workflows and build integration paths
  • Excellent communication skills. Confident translating for both technical and non-technical collaborators
  • High ownership approach with comfort operating independently, navigating ambiguity
  • Demonstrated experience working with enterprise customers; particularly in manufacturing, quality, engineering services, or supply chain operations
  • Experience with LLMs, generative AI pipelines and agent-style automation frameworks (agent workflows, tool orchestration, retrieval-augmented generation)
  • Prior consulting, technical solution engineering or internal tools engineering experience
  • Demonstrated experience leading complex customer deployments involving cloud infrastructure, identity/SSO, data access, and integration with enterprise systems
  • Proven ability to establish standards and operating rhythm (playbooks, quality gates, blocking issue models, delivery targets) across distributed teams
  • Executive-level collaborator management: able to communicate with senior collaborators; adept at navigating ambiguity and driving decisions
  • Ability to travel up to 75% of the time, with extended periods embedded at specific collaborator sites
  • Solid engineering foundation. Desired areas of study include, though are not restricted to, Computer Science, Mathematics, Software Engineering, Physics, and Machine Learning
  • Familiarity with enterprise ecosystems such as Snowflake, Atlassian suite of tools, and common integration approaches
  • Background in regulated industries and governance-heavy environments (auditability, privacy, retention)
  • Ability to operate autonomously, thrive under ambiguity, and represent DIG at the highest level in customer environments
  • Experience partnering with product teams on platformization (turning custom work into reusable product capabilities)
  • Prior enterprise delivery leadership experience driving multi-workstream execution, program governance, and executive steering across complex collaborator environments
  • Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum

What the job involves

  • Digital innovation is central to Re:Build Manufacturing’s mission and essential for scaling as a world-class industrial company
  • The Forward Deployed Engineer (FDE) in the Digital Innovation Group (DIG) works directly at Re:Build sites alongside collaborators
  • They quickly prototype and deliver full-stack digital solutions that address real business challenges and create measurable impact
  • The FDE uses technical skills, AI knowledge, and awareness of industry developments to provide these solutions
  • They lead client workshops, develop solution strategies, manage critical technical issues, and cultivate positive relationships with site teams
  • The FDE also ensures risk management by aligning solutions with DIG’s security protocols, data standards, and AI governance guidelines while following coding practices
  • This role suits experienced engineers who combine strong technical insight, customer focus, product awareness, and who excel in responsibility and ownership
  • Collaborate directly with team members to understand business processes, difficulties, and success criteria; and proactively uncover new opportunities to implement digital solutions
  • Own the full lifecycle of prototypes and production solutions, from discovery and prioritization through build, deployment, and post-launch iteration
  • Build prototype solutions to validate approaches and accelerate discovery
  • Use knowledge in AI and machine learning to recommend approaches where AI can generate measurable business impact for interested parties
  • Bring external innovation to internal problems
  • Identify and resolve bugs in prototypes while optimizing code for performance and scalability
  • Provide technical mentorship and support throughout implementation, including resolving issues, optimization, and adoption support
  • Contribute to software build and architecture, ensuring scalability and reliability in line with team goals
  • Ensure adherence to guidelines and coding standards through code reviews
  • Develop and maintain technical documentation, implementation playbooks, and reusable assets to accelerate future deployments
  • Risk, security, and compliance leadership: Guarantee that implementations meet DIG's security protocols, data management criteria, and AI governance standards
  • Travel up to 75% of the time to portfolio locations, mainly stationed at a particular site to speed up solution implementation (domestic US travel only)
  • Other responsibilities as assigned

Benefits

  • Medical
  • Dental
  • Vision
  • FSA/HSA
  • PTO/Paid Vacation
  • 401(k)
  • Long Term Incentive Program
  • Employee Assistance Program
  • Group Term Life/AD&D
  • STD/LTD
  • Voluntary Critical Illness
  • Worker's Compensation
  • Accident Coverage/Travel Assistance
  • Voluntary Supplemental Life
  • Parental Leave Program
  • Wellness Program
  • Tuition Reimbursement
  • Company Sponsored Events
  • Re:Build University

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