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4M Analytics

Lead Forward Deployed Engineer

4M Analytics

. Build and ship production-quality software in response to real customer problems .

Posted 9/18/2026full-timeAustin • Texas • United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in building and deploying software solutions in customer-facing environments, with strong capabilities in data management, cloud systems, and enterprise integration. Proven leadership in mentoring teams and making architectural decisions in ambiguous settings.

Highest-signal resume keywords
8+ Years Software Development ExperienceLeadership Experience in Technical DirectionStrong Fundamentals in Data and DatabasesFluency with AI Coding and Modern Development PracticesExperience with Geospatial and GIS

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software DevelopmentData ManagementCloud SystemsDistributed SystemsEnterprise Integration PatternsAI CodingAgentic FlowsSecurity and AuthenticationPrototypingField Solution Scaling
Soft Skills
Excellent Written CommunicationExcellent Verbal CommunicationCollaboration with Remote TeamsComfort with AmbiguityMentoring
Tools & Technologies
Enterprise APIsUtility GISNational Field-Technology PlatformsIndustry Ticketing NetworksIoTMobile HardwareField Hardware
Industry Keywords
Utility SoftwareEnergy SoftwareTransportation SoftwareAEC SoftwareIndustrial Software

Tech Stack

Tools & technologies
CloudDistributed SystemsIoT

About the role

Key responsibilities & impact
  • Build and ship production-quality software in response to real customer problems
  • Prototype and validate solutions in the field, then harden them
  • Spend time at customer and job sites alongside field crews, operations teams, and physical devices
  • Own integrations with enterprise APIs, utility GIS, national field-technology platforms, and industry ticketing networks
  • Work with undocumented behavior, legacy systems, and messy data
  • Turn field learning into reusable, scalable product capabilities
  • Partner with core engineering to scale field solutions into products
  • Set priorities, manage time, and make architecture decisions without a finished specification
  • Mentor engineers as the US team grows
  • Collaborate closely with the Israel-based engineering center across time zones

Requirements

What you’ll need
  • 8+ years building software, with a track record of shipping across the stack
  • Demonstrated success personally building and deploying systems in ambiguous, customer-facing environments
  • Leadership experience, including mentoring, setting technical direction, or running a small team
  • Strong fundamentals in data and databases, cloud and distributed systems, security and authentication, and enterprise integration patterns
  • Ability to learn an unfamiliar system quickly and make it work in the field
  • Fluency with AI coding, agentic flows, and modern development practices
  • Excellent written and verbal communication
  • Discipline to collaborate well with a remote team
  • Comfort with ambiguity
  • Bonus experience with geospatial and GIS
  • Bonus experience with IoT, mobile, or field hardware
  • Bonus experience with utility, energy, transportation, AEC, or industrial software

Benefits

Comp & perks
  • Opportunity to grow into owning broader product areas, leading new segments, or shaping the AI-product strategy
  • Opportunity to grow and lead a US engineering team
  • Regular travel to customer and field sites
  • Several trips a year to the R&D center in Israel