Level

Ravelin

Pre Sales Manager

AI in this role


Who are we? 

Hi! 👋 We are Ravelin! We're a fraud detection company using advanced machine learning and network analysis technology to solve big problems. Our goal is to make online transactions safer and help our clients feel confident serving their customers. 

And we have fun in the meantime! We are a friendly bunch and pride ourselves in having a strong culture and adhering to our values of empathy, ambition, unity and integrity. We really value work/life balance and we embrace a flat hierarchy structure company-wide. Join us and you’ll learn fast about cutting-edge tech and work with some of the brightest and nicest people around - check out our Glassdoor reviews. 
If this sounds like your cup of tea, we would love to hear from you! For more information check out our blog to see if you would like to help us prevent crime and protect the world's biggest online businesses.


The Role

Ravelin is looking for a Technical Pre-Sales Manager with proven experience and a passion for selling technology solutions to senior executives. You will be responsible for working closely with the sellers to mitigate technical red flags & bottlenecks as the prospect moves through the sales funnel, as well as supporting a smooth onboarding transition to a live paying client. 




Key Responsibilities

External

Act as a knowledgeable and trusted advisor to prospective clients on the technical capabilities of Ravelin to identify appropriate implementation and deployment options
  • Run discovery sessions and tailored demonstrations to gather technical requirements
  • Support and manage Proof of Concepts where necessary
  • Liaise with delivery teams to ensure accurate understanding of the prospect client’s platform
  • Technical consultation during the sales process, and supporting the curation of Ravelin implementation plans
  • Understand in-depth the prospect’s existing internal fraud prevention, Account Take Over and similar systems
  • Develop relationships within the prospective client’s organisation

Internal
  • Be a subject matter expert on Ravelin’s solutions and use cases
  • Collaborate across internal functions, especially Product and Integration
  • Work directly with internal teams to deliver technical specifications of prospect client’s bespoke requirements
  • Maintain and improve our knowledge base and RFP answers.
  • Act and encourage sharing and excellence as one of a pool of resource, globally

Skills, Knowledge and Expertise


  • Experience in working in a similar pre-sales technical/engineering/consulting roles
  • Experience in card payments and authentication
  • Technical awareness of EMVco standards, including flows, data requirements and protocol versions.  
  • Be able to demonstrate a strong balance of both commercial and technical acumen in supporting the delivery of revenue to the business
  • Technical awareness as part of software sales discussions e.g. operating systems (Linux), cloud computing (Azure, AWS), data types (CSV, XML, JSON) and database technologies & storage
  • Strong ability to engage and manage expectations with different internal and external stakeholders
  • Strong academic background, preferably Technology or scientific degree
  • A thirst to learn
  • Initiate improvements in knowledge and sharing of work for the good of all
  • Ability to creatively explain and present complex concepts in an easy to understand manner
  • An ability to understand the business value of the Ravelin proposition and express that in meaningful terms to exec levels in the target client
  • Knowledge of fraud prevention would be a nice to have

How we rate this

Pre Sales Manager at Ravelin rates 34 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. â—Źâ—Źâ—Źâ—Ź Builds AI80 to 100
  2. â—Źâ—Źâ—Źâ—‹ Works on AI60 to 79
  3. â—Źâ—Źâ—‹â—‹ Uses AI40 to 59
  4. â—Źâ—‹â—‹â—‹ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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