Veryfi empowers organizations to transform their unstructured data in the form of receipts, invoices, purchase orders, checks, W2s and other business documents into structured data at scale. Their suite of data transformation APIs can be leveraged for many use cases in financial services to deliver valuable business intelligence in seconds. Trusted by enterprises and technology companies alike, Veryfi’s AI-based platform is being leveraged by companies worldwide.
Veryfi is backed by NewView Capital (NVC), Act One Ventures, TI PLatform, Y Combinator and Zillionize
Veryfi Raises $12 Million To Use AI To Tackle The Unstructured Data Entry Market https://www.forbes.com/sites/rebeccaszkutak/2021/04/26/veryfi-raises-12-million-to-use-ai-to-tackle-the-unstructured-data-entry-market/?sh=886fe19183f8
The Untapped Potential of Unstructured Data https://nvc.vc/perspectives/veryfi-the-untapped-potential-of-unstructured-data/
Capterra Reviews https://www.capterra.com/p/141684/Veryfi-Receipts-and-Expenses/reviews/
COME AND SAY G'DAY!
Who are We?
Veryfi is a Series A fintech startup creating products that change the world, liberating users from manual data entry and all the inefficiencies associated with that. In this position, you will gain the experience working with a full, diverse marketing team and bring both product-focused and branded stories to life.
Job Description:
Content is built to enhance brand visibility, drive traffic, and generate conversions. This internship provides an excellent opportunity to gain hands-on experience in content marketing for an expansive tech industry.
As a Content Marketing Intern, you will play a pivotal role in assisting the Marketing team in producing content, measuring effectiveness of the written and video content you produce, and identifying gaps in topics branded by the business.
Responsibilities:
Your Skills:
Digital portfolio or strong examples showcasing previous work is required.
Our HQ is located in San Mateo, CA.This role entails a commitment of at least 15 hours per week.
(a) Native Mobile apps: Swift, Objective-C & Kotlin
(b) Backend: Python 3, TensorFlow, APIs on Django, Hub/Web on Flask
(c) IaaS: AWS with auto deploys to 4 geographies (read the deployment posts by Andrew here https://medium.com/the-road-to-silicon-valley)
(d) Database: Amazon Aurora
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