Job Overview
Location
San Francisco
Job Type
Full-time
Category
Product Management
Date Posted
June 4, 2026
Full Job Description
đź“‹ Description
- • Define how piping information is developed and validated during FEED and early detailed design phases to inform product requirements and validation checks.
- • Review and validate piping-related content across P&IDs, line lists, and technical specifications to ensure accuracy and compliance.
- • Create repeatable automated checks to identify tagging errors, completeness gaps, and consistency issues before they propagate into downstream design stages.
- • Map sources of piping rework across projects to determine root causes and prioritize automation opportunities.
- • Clarify interface points between piping and other disciplines including Process, Mechanical, I&C, and Electrical to ensure integrated workflow design.
- • Distinguish between repetitive tasks suitable for automation and tasks requiring expert engineering judgment to guide product development.
- • Translate real-world piping workflows from EPC and owner-operator environments into actionable product specifications for AI-driven preconstruction tools.
- • Identify common inconsistencies between P&IDs, line lists, and vendor package submissions to inform validation logic.
- • Collaborate with engineering and product teams to ensure software solutions align with industry standards and field realities.
- • Contribute to the design of workflows that preserve engineering quality while reducing manual effort in preconstruction phases.
- • Support the development of AI models by providing domain-specific feedback on piping data patterns, anomalies, and decision thresholds.
- • Ensure product validation rules reflect ASME B31.3 and other relevant downstream piping practices.
- • Help shape the product roadmap by highlighting pain points in current piping design processes and proposing automated solutions.
- • Maintain awareness of industry trends in digital engineering, 3D modeling, and constructability analysis to inform product evolution.
- • Act as a bridge between field engineering teams and software development teams to ensure technical accuracy and usability of AI tools.
- • Participate in client and stakeholder discussions to understand real-world constraints and translate them into product requirements.
- • Document piping workflows, validation criteria, and failure modes to support training, onboarding, and continuous improvement of AI systems.
- • Contribute to internal knowledge sharing on piping best practices, common errors, and efficiency opportunities in preconstruction.
- • Ensure all product checks are grounded in actual engineering practice, not theoretical assumptions.
- • Maintain alignment with industry norms for piping deliverables, including valve selection logic and line numbering conventions.
🎯 Requirements
- • 7+ years of experience at an EPC, PMC, or owner operator
- • Strong understanding of FEED and early detailed design piping workflows
- • Experience with P&ID reviews and common piping deliverables (line list, specs, valve selection logic)
- • Familiarity with ASME B31.3 and downstream piping practices
- • Ability to spot inconsistencies across P&IDs, line lists, and vendor packages
- • Clear understanding of cross-discipline dependencies
🏖️ Benefits
- • Meaningful base + equity
- • Unlimited PTO: We believe great work requires recharging.
- • Insurance: Generous health insurance covering medical, dental, and vision.
- • Health and Wellness Budget: We provide up to $150/mo reimbursement for health and wellness spending, such as gym memberships, fitness classes, or similar.
Skills & Technologies
Senior
Onsite
About Candid Intelligence Ltd.
UK-based data and analytics firm building cloud-native platforms that automate data preparation, governance and advanced analytics for enterprises. Focuses on regulated industries such as finance, healthcare and government, delivering secure, scalable solutions that reduce manual data work, improve compliance and accelerate insight generation through modern data engineering and machine-learning techniques.
Get more remote jobs like this
Subscribe to the weekly newsletter for similar remote roles and curated hiring updates.
Newsletter
Weekly remote jobs and featured talent.
No spam. Only curated remote roles and product updates. You can unsubscribe anytime.
Similar Opportunities
Expired
Extend Your Team, LLC
Metro Manila
Full-time
Expired May 11, 2026
Onsite
Degree Required
3 months ago
Expired
Affirm Holdings, Inc.
Remote US
Full-time
Expired Jun 2, 2026
REST
Senior
Remote
+1 more
2 months ago
