AI Sales Engineer
Arize AIFull Time
Junior (1 to 2 years)
Candidates should have 5+ years of experience in a pre-sales role for a deeply technical product with a track record of owning multi-level technical sales, early-stage startup experience is highly desirable, experience with data processing, machine-learning systems, MLOps and machine learning infrastructure is required, working knowledge by applying popular machine learning frameworks (Pytorch, Tensorflow, etc) and data processing frameworks (Spark, Flink, Beam etc) to building production grade AI pipelines, general understanding and working knowledge of distributed systems at scale and familiarity with cloud platforms (AWS, GCP, Azure), Infrastructure as Code (Terraform, Cloudformation), Containers (Docker), Kubernetes and CI/CD systems, and strong knowledge of sales frameworks such as MEDDIC.
The Solution Engineer will contribute to building the pre-sales motion for Union, lead discovery, demo, design and solutioning efforts with prospects by partnering with Sales, Product, Engineering and post-Sales teams, drive adoption of Union by leveraging hands-on experience in building demonstrable use cases, troubleshooting workflows, and showcasing platform value to prospective customers, own the technical success of a trial by delivering on prospects’ success criteria, connect the dots between business value and technical outcomes, engage at all levels of technical stakeholders to drive technical debates and design choices with our mid-market and enterprise customers, contribute to the technical qualification of an opportunity through paring technical needs to key features and formulate unique selling propositions displacing competition, develop and advise prospects on representative demonstrable examples, reference architectures and best practices for optimal design, integration and operation of Union, actively support Union users with trials and production deployments by onboarding users and workflows, debugging problems related to infrastructure, platform or code in customers’ integrated end-to-end solution, represent the product at field events such as conferences, seminars, etc., dive deep into the suite of competitive and complementary technologies to better position Union during critical negotiations, and demonstrate a deep technical understanding of our product to our end users.
Managed platform for ML and data orchestration
Union.ai offers a managed platform for machine learning (ML) and data pipeline orchestration, with its main product, Flyte, designed to handle complex workflows using Python code. Union Cloud simplifies the deployment and management of Flyte, allowing ML engineers and data scientists to focus on their work without worrying about infrastructure. The company serves a range of clients, including large enterprises, and operates on a subscription-based model for its services. Union.ai's goal is to accelerate ML projects by automating processes involved in model development and deployment, resulting in faster time-to-market.