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!

Company Overview:

At Veryfi, we specialize in providing cutting-edge AI and machine learning solutions for expense and document management. Our technology empowers businesses across various industries to streamline their processes, achieve greater efficiency, and gain valuable insights from their data.

Role Overview:

As a Technical Account Manager (TAM) at Veryfi, you will be the primary technical point of contact for our key clients. You'll play a crucial role in ensuring successful onboarding, maintaining strong client relationships, and driving customer satisfaction by providing technical expertise and support.

Responsibilities:

• Serve as the primary technical point of contact for assigned clients, understanding their document processing automation needs and ensuring successful implementation of Veryfi's data extraction solutions
• Guide clients through API implementation, providing code samples, documentation, and best practices to ensure successful integration with their systems
• Conduct regular check-ins with clients to understand their evolving needs, address technical challenges, and identify opportunities for expanded use of Veryfi's platform
• Collaborate with the Engineering team to troubleshoot client issues, prioritize bug fixes, and communicate timelines for resolution
• Gather client feedback on product features and communicate requirements to the Product team
• Develop deep expertise in document processing workflows and Veryfi's AI/ML capabilities to advise clients on optimization
• Monitor client API usage patterns to identify potential performance issues or opportunities for improvement
• Be the Industry Expert for our clients educating them on new releases and how they apply to them and new services & features that they can use.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field
• 3-5 years experience in a customer-facing technical role (Technical Support, Solutions Engineering, or Technical Account Management)
• Technical background with the ability to understand and articulate complex technical concepts.
• Exceptional communication and interpersonal skills with the ability to build and maintain strong client relationships.
• Ability to thrive in a fast-paced environment, manage priorities effectively, and adapt to evolving client needs.
• Proactive mindset with a focus on problem-solving and delivering exceptional customer service.
• Ability to read and understand client code to diagnose integration issues. Experience & programming skills in Python is a strong plus.
• Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders
• Problem-solving mindset with attention to detail and ability to prioritize effectively in a fast-paced environment

Preferred Qualifications:

• Good understanding AI/ML technologies and their application in business solutions.
• Strong Experience working with APIs

(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