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Sight Machine

SaaS manufacturing analytics platform with AI

Forward Deployed Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAHybrid

About the Job

Requirements

  • Strong technical background with experience coordinating complex technical delivery across multiple workstreams
  • Ability to quickly assess technical deliverables and identify quality issues or gaps
  • Pragmatic, resourceful approach to problem-solving with comfort managing ambiguity
  • Experience working with modern data technologies and understanding of data engineering principles
  • Clear communication skills with both technical teams and non-technical stakeholders
  • Demonstrated ownership mentality and ability to escalate early when things go off track
  • Capability to execute quick technical changes to maintain momentum
  • Ability to work independently and collaboratively with other teams to achieve goals and represent the business
  • Experience working with batch or streaming data processes
  • Strong analytical ability and problem-solving skills
  • Comfortable working with customers to understand how we can help improve their process

Responsibilities

  • Own end-to-end technical delivery outcomes, serving as the single point of accountability for technical execution
  • Coordinate work across data architects, data engineering teams, and contractors to ensure seamless integration
  • Set design criteria and parameters for what needs to be built, ensuring alignment with customer requirements and Sight Machine platform capabilities
  • Define detailed data modeling specifications, including KPI formulas, field requirements, and data model structures
  • Work with data architects to create clear specifications for cleansing rules, derivations, and edge cases
  • Evaluate deliverables from contractors and internal teams against requirements, ensuring quality and completeness
  • Validate that data architecture is delivering what the client needs and meeting business objectives
  • Raise red flags early when projects are off track, communicating risks and mitigation strategies
  • Ensure everyone building anything understands what needs to be built and why, maintaining clarity across all contributors
  • Outline technical requirements and specifications with clarity and precision
  • Document decisions and rationale to maintain institutional knowledge
  • Divide work appropriately and create evaluation criteria for contractors to follow
  • Maintain technical documentation that enables efficient knowledge transfer and onboarding
  • Brief contractors on what needs to be built, providing clear technical specifications
  • Review contractor work for completeness and accuracy against defined criteria
  • Coordinate multiple contractors working on different aspects of the solution
  • Escalate when contractors drop off or deliverables are at risk
  • This position requires up to 40% domestic and international travel to client business and factory sites to kick off engagements, walk factory floors, and lead on-site technical coordination sessions. The frequency of travel will vary depending on the client

Desired Qualifications

  • Experience in manufacturing environments and understanding of manufacturing processes
  • Background in data science or analytics in manufacturing contexts
  • Prior experience managing or coordinating contractor teams
  • Familiarity with Azure-based data platforms and cloud infrastructure
  • Experience with technologies such as Python, Java, Git, and Pandas or R
  • Experience working in a manufacturing environment or on 6 sigma projects
  • Experience in data analysis with SQL or NoSQL databases

About the Company

Sight Machine

SaaS manufacturing analytics platform with AI

Sight Machine provides an AI-powered software platform for manufacturing analytics. It collects data from factories via connected equipment and systems, then uses AI to analyze the data in real time and deliver actionable insights through dashboards and reports. This helps large manufacturers improve operational efficiency, reduce waste, and enhance product quality. The platform is offered as a software-as-a-service (SaaS) with optional custom analytics and consulting services. Compared to competitors, Sight Machine focuses on enterprise-scale, real-time analytics across multiple industries (such as automotive, electronics, and consumer goods) to give companies a unified view of their operations and enable data-driven decisions at scale. The goal is to help manufacturers optimize production, predict maintenance needs, and lower costs to increase profitability.

Company size
51-200
Company stage
Late Stage VC
Total funding
$69.9M
Headquarters
San Francisco, CA
Founded
2012

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