Sand Tech Holdings Limited
Forward Deployed Engineer - USA
United States · Director · Full-time
Sponsorship not specifiedDetected 5 days ago
PythonFull-Stack DevelopmentSQLCloud PlatformsPlatform EngineeringMachine LearningData ScienceProduct ManagementResearchCommunicationCollaboration
About the role
- Forward Deployed Engineers (FDEs) are Sand's frontline inside our most strategic customers
- This is a value-engineering role: hands-on, deeply technical, fast, and focused on proving ROI in real operational environments.
- As an FDE, you will sit inside one of our US industries-Energy, Utilities, or Public Sector-and be deployed full-time on-site with a client.
Responsibilities
- Self-drive to communicate constantly using web collaboration and video conferencing is essential.
- Embed directly inside the client to unlock data, map value streams, and build lightweight production-grade solutions.
- Deliver measurable outcomes within weeks-fast deployments, clear ROI proof points, and visible operational value.
- Maintain a production mindset: reliability, iteration, and continuous improvement of deployed solutions.
- Build deep trust with operators, engineers, and senior stakeholders through hands-on delivery-not slides.
- Translate complex technical problems into simple, actionable insights that drive adoption and operational use.
Nice to have
- Train users, institutionalize capabilities, and transfer knowledge so the client can sustain value.
- Pattern Capture & Platform Feedback
- Ensure every deployment contributes to reusability, pattern libraries, and cross-vertical knowledge.
- Growth Contribution (non-sales, but commercial)
- Identify expansion opportunities through on-the-ground insights and signal them to the MD and Solutions Director.
- Help shape new enterprise AI propositions with real-world field intelligence from Energy/Utilities/Public Sector operations.
- 2-6 years of experience as a Data Scientist, Data Engineer, ML Engineer, or Software Engineer working with real datasets and operational environments.
- Experience deploying solutions in Energy (Oil & Gas, Power), Utilities (Water/Gas/Electric), or Public Sector strongly preferred.
Skills
- Strong coding ability (Python preferred) plus SQL, wrangling, and modern data tooling.
- Experience with APIs, cloud environments, data ingestion patterns, and analytical tooling.
- Ability to turn messy, real-world data into operational insights and deployed tools.
- Understanding of ML modeling, optimisation, or operations research is a plus (but not required).
- Experience with visualization tools and rapid prototyping frameworks.
- Why this role matters
- Personal Attributes
Company info
- to harness AI to solve humanity's most pressing challenges.
- We let Our Clients Run the Company, Surf Like Yvon to stay true to our values, and Play the Long Game with integrity.
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