About The Company:
With a $100B market opportunity that’s growing rapidly, Wallaroo.AI is standing at the forefront of enabling data scientists, AI teams and ML engineers to get from AI prototype to ROI in production with incredible efficiency, scale, and ease.Wallaroo.AI removes infrastructure bottlenecks and allows AI teams to deliver real-world results faster, so technical teams can reclaim 40% of their time, reduce infrastructure costs by as much as 80%, and get-to-value 3X faster - in any cloud, on-prem or edge environment.
Our enterprise platform provides powerful self-service tools, a purpose-built inference server for ML workflows, observability, and an A/B testing framework. We’re already working with some of the world’s leading brands. Backed by Microsoft’s M12, we raised a $25MM Series A in 2022. The time is NOW, join us on this incredible journey!
About You & Your Role:
As one of the earliest members of Wallaroo.AI’s Sales Engineering team, you will be tasked with aiding in building our function, processes, and continuously improving our current sales and evaluation practices. Simultaneously, you will play a critical role in driving successful pre-sales engagements with prospects and customers as an integral part of our overall enterprise sales motion. Additionally, you will become a recognized voice of the company and spokesperson at events, meetups, and other communities, while iInfluencing the roadmap and GTM decisions, infusing customer priorities into every decision we make.
You are curious and an avid learner who believes in continuous improvement, collaboration and always putting the customer first. Ideally you will lean on your past (or current) experience as a data scientist or ML Engineer to solve meaty problems for our clients. Alternatively, you have deep experience in a customer-facing role, such as Sales Engineering, Solution Architecture, Customer Success Engineering or Consultaing (with a highly technical product), and you have the tech chops to communicate with Data Science and ML Engineering leadership . Either way, you ask the right questions to quickly understand the customer's Machine Learning/AI Workflows and pain points and you articulate clearly and concisely the best possible technical solutions. Most of all, you care about the customer’s success and in seeing the value of the Wallaroo.AI solution when applied to their enterprise. You will be expected to own the technical side of relationships with Data Science/Machine Learning Engineering leadership at prospective clients, be diligent and detail-oriented in guiding them from technical discovery through structuring and executing an evaluation or proof of concept.
Because Wallaroo.AI has aggressive growth plans, you will be expected to leverage your skills and experience to aid in building the shared knowledge base and company-wide assets, pulling in relevant stakeholders (Founders, Engineering, Product, Marketing etc.) as necessary, so the entire team is aligned on overcoming challenges. . Your success will be measured by how efficiently you can demonstrate real value to the prospects in a timely manner. This will often mean applying your critical thinking skills to solve open-ended problems in a way that meets requirements and gives prospects the best possible experience, while staying organized to effectively support multiple opportunities in parallel.