Sight Machine · 4 hours ago
Manufacturing Outcomes Engineer
San Francisco, CA
Full-time
Onsite
Mid LevelSight Machine is a company focused on enhancing manufacturing processes through innovative data solutions. The Manufacturing Outcomes Engineer role involves technical coordination and quality assurance to ensure the successful delivery of Sight Machine's Manufacturing Data Platform, driving digital transformation for prominent manufacturers.
AnalyticsArtificial Intelligence (AI)AutomotiveBig DataInternet of ThingsMachine LearningManufacturingRoboticsSaaS
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
Qualification
Required
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
Preferred
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
Benefits
Competitive Salary + Stock Options
Health Care Coverage + Life Insurance + Health Savings Account + Flexible Spending Account (includes spouse + children)
Flexible Vacation Policy
Adaptable Working Schedule and Environment
Casual Dress Attire
Hybrid work flexibility
Catered Lunches, Snacks and Beverages
Commuter Savings Program
Company Outings
Designated Volunteering Hours + Group Volunteer Events
Company
Sight Machine
Sight Machine provides analytics platform that helps address critical challenges in quality and productivity throughout the enterprise.
Founded in 2012
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$80.4MKey Investors
NVenturesLS GroupJump Capital
2025-09-16Series Unknown
2019-04-23Series C· $29.4M
2017-12-23Series B· $20.48M
Leadership Team
Jon Sobel
Co-Founder and CEO
Kurt DeMaagd
Chief AI Officer
Recent News
MIT Technology Review
2025-11-21
2025-09-17
Company data provided by crunchbase