
Pibit.AI is an SF–based insurtech company reconstructing the art (and science) of commercial underwriting for carriers and MGAs. At the heart is the CURE™ platform, the industry’s only centralized…

Pibit.AI is an SF–based insurtech company reconstructing the art (and science) of commercial underwriting for carriers and MGAs. At the heart is the CURE™ platform, the industry’s only centralized…
Sector: Insurtech — AI-driven commercial underwriting automation
Flagship product: CURE platform (ClearCURE, DocumentCURE, ResearchCURE, RiskCURE, WorkflowCURE)
Headquarters: South San Francisco, CA
Investors (examples): Y Combinator, Arali Ventures
Commercial underwriting inefficiency: manual submission intake, unstructured insurance documents (loss runs), slow decision-making and suboptimal underwriting outcomes.
Insurtech
YC program participation; YC investment reported Aug 2021 (~$125k) in public profiles
$500k
“Backed by early-stage investors including Y Combinator and Arali Ventures”
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We are Hiring !!!
We are urgently looking for people who are ready to join immediately.
Open Position
: Process Analyst ( Non- Tech)
Experience
: 0-2 Years
Working hours
: US Time Zone ( Night Shift)
Location
: Bangalore
Work Mode : Onsite (Remote not available)
Eligibility Note:
Who We Are:
We are a fast-growing, Y Combinator-backed startup founded by IIT Roorkee alumni, focused on transforming the insurance industry through intelligent automation. At Pibit AI, we leverage advanced deep learning models to convert unstructured documents into structured data, helping leading insurance companies reduce manual effort, minimize errors, and improve operational efficiency.
Who We’re Looking For:
We are looking for a Process Analyst to support our data extraction and evaluation processes. In this role, you will ensure the accuracy and completeness of extracted information by reviewing data against source documents and maintaining defined quality standards. The ideal candidate should have strong analytical thinking, attention to detail, and the ability to work in a fast-paced environment.
Key Responsibilities:
• Perform quality checks on extracted data to ensure accuracy, completeness, and consistency.
• Review and evaluate different use cases and workflows as part of the data validation process.
• Validate extracted information against source documents and identify discrepancies or missing data.
• Ensure compliance with defined quality standards and turnaround time (TAT) requirements.
• Document findings, edge cases, and quality issues during the evaluation process.
• Collaborate with internal teams to provide feedback for improving data extraction models and workflows.
• Support the assessment and validation of operational workflows and requirements.
Qualifications:
Why Join Us?
● Competitive salary with strong growth opportunities
● Work with cutting-edge AI-driven solutions
● Energetic and collaborative team culture
● Opportunity to build expertise in operations and data processes
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