Full-Time

Data Partnerships Analyst

Fabrion

Fabrion

AI-native platform for industrial manufacturing

No salary listed

United States

In Person

Category
Business & Strategy (1)
Required Skills
Python
SQL
Excel/Numbers/Sheets
Requirements
  • 3+ years experience in research, consulting, corporate strategy, business development or partnerships.
  • Strong analytical skills; comfort with messy datasets, Excel/Sheets, and SQL/Python basics.
  • Excellent communication and synthesis skills — able to distill complex market landscapes into crisp takeaways.
Responsibilities
  • Market Landscaping & Research: Identify, track, and evaluate relevant data providers across global markets.
  • Deal Support: Assist in structuring partnership discussions, including preparing briefs, evaluating contract terms, and surfacing risks or dependencies.
  • Data Evaluation: Assess sample datasets for coverage, quality, refresh frequency, schema design, and interoperability with Fabrion’s knowledge graphs.
  • Partnership Pipeline: Maintain CRM-style tracking of outreach, engagements, and deal status across priority providers.
  • Competitive Intelligence: Benchmark competitors’ data strategies and build landscape views of potential threats and opportunities.
  • Cross-Team Collaboration: Work with product, engineering and legal teams to translate data partnership requirements into technical and contractual frameworks.
Desired Qualifications
  • Automotive industry experience, particularly at an Original Equipment Manufacturer or Tier 1 supplier.
  • Exposure to Business-to-Business Software as a Service, data vendors, or enterprise technology ecosystems.
  • Prior experience evaluating or working with data providers (e.g., S&P, D&B, etc).
  • Understanding of trade data, entity mapping, risk and compliance frameworks (REACH, RoHS, ESG, sanctions).
  • Familiarity with data licensing, APIs, or data feeds.
  • Prior exposure to supply chain, automotive, or industrial domains.
  • Mindset: Systems thinker; Comfortable navigating ambiguity and building processes from scratch.
  • Bonus Skills: Familiarity with data licensing, APIs, or data feeds.

Fabrion builds an AI-native platform for industrial manufacturing to accelerate AI adoption across complex, multi-tier value chains. The product applies artificial intelligence and machine learning to optimize operations in manufacturing, supply chains, and value-chain processes, with the aim of improving speed, resilience, and overall productivity. Unlike generic AI tools, Fabrion targets industrial contexts and real-world industrial workflows to address efficiency and robustness in manufacturing environments. The company differentiates itself through a focused mission on the industrial sector, leveraging a dedicated platform designed for complex, multi-tier value chains and partnering with capital backers like 8VC to fund its early-stage development. Fabrion’s goal is to help manufacturers operate more efficiently and robustly by enabling AI-driven decision making across their value chains.

Company Size

N/A

Company Stage

N/A

Total Funding

N/A

Headquarters

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Founded

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Simplify Jobs

Simplify's Take

What believers are saying

  • Telit Cinterion's deviceWISE Suite validates market demand for OT-AI integration at scale.
  • Foundational Industries' autonomous factory buildout creates partnership opportunities for Fabrion's AI stack.
  • Multi-tier value chain optimization addresses $2T+ manufacturing inefficiency across supply chains globally.

What critics are saying

  • Telit Cinterion directly competes with unified data backbone for industrial AI integration.
  • Foundational Industries' hardware-software integration outpaces Fabrion's software-only platform capabilities.
  • 8VC's exclusive funding creates existential risk if reallocated to competing autonomous operations startups.

What makes Fabrion unique

  • Custom fine-tuned SLMs with RLHF governance differentiate from foundation model wrappers.
  • Bare-metal acceleration for ETL/training enables federated deployments across hyperscalers and edge.
  • Industry-specific knowledge graph connects fragmented data, teams, and suppliers across production lifecycle.

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Benefits

Health Insurance

401(k) Retirement Plan

Remote Work Options