Data Domain Expert
About the job
- Three to six years of experience in mechanical engineering, electrical engineering, or electronics engineering roles within original equipment manufacturers or manufacturing organizations.
- Strong understanding of mechanical and manufacturing concepts.
- Ability to interpret technical data and explain it clearly to non-domain teams.
- Experience reviewing, validating, or tagging data.
- Strong domain fundamentals with a practical mindset.
- Ability to make judgment calls on data relevance.
- Good communication and collaboration skills.
- Comfort working in a fast-moving startup environment.
- Understand and review mechanical and manufacturing-related client data.
- Guide data processing teams on data relevance and usage.
- Help define tagging and classification guidelines.
- Review processed outputs and provide feedback for corrections.
- Support quality checks and validation activities.
- Assist during client discussions when domain input is required.
- Experience working with engineering design documents, bills of materials, product lifecycle management software, and computer-aided design models.
- Experience working with data, analytics, or artificial intelligence teams.
- Exposure to quality, process, or documentation-heavy projects.
- Familiarity with tools used for tagging or reviewing data.
About the company
Apiphany provides an AI-powered platform that automatically extracts key information from unstructured documents like invoices, contracts, and reports to create structured data. It works by applying artificial intelligence, machine learning, and natural language processing to understand document context, identify important data points, and extract them, with models that improve over time and seamless integration with existing workflows. It differentiates itself through context-aware extraction, continuously improving models, multi-industry applicability, strong security and compliance, and a user-friendly way to configure data workflows. Its goal is to help businesses save time and reduce costs by turning unstructured data into reliable, actionable information for smarter decisions.
Company Size
11-50
Company Stage
N/A
Total Funding
N/A
Headquarters
San Francisco, California
Founded
2023
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Simplify's Take
What believers are saying
- The October 2026 site update shows active product development and messaging refinement.
- Fika Ventures still publicly lists Apiphany, signaling investor support in October 2026.
- Seven open roles and 2025 headcount signals indicate continued hiring momentum.
What critics are saying
- Apiphany is still seed-stage, with last funding on September 1, 2024.
- Its homepage leans on customer logos like Boeing and NASA without independent proof.
- If pilots stall at NVIDIA or Boeing, rival PLM AI vendors win the budget.
What makes Apiphany unique
- Apiphany claims physics-first AI for hardware engineering, not generic document extraction.
- It integrates with Teamcenter, Windchill, SAP, Jira, and SharePoint without rip-and-replace.
- The Engineering Context Graph surfaces decision traces, precedent, and anomaly alerts.
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Benefits
- Health Insurance
- Dental Insurance
- Vision Insurance
- 401(k) Retirement Plan
- Hybrid Work Options
- Unlimited Paid Time Off