Sales Engineer - North America
Employment Type: Full-Time
Location Type: Remote
Salary: [Salary not specified]
About Us
At Union, we are solving one of the hardest challenges in AI infrastructure today: enabling high-velocity iteration while maintaining seamless production-readiness for AI workloads at scale. Flyte, the open-source project we steward, is the emerging standard for modern data and AI orchestration, with numerous leading technology organizations - like LinkedIn, Spotify, and Gojek - running millions of mission-critical workloads on the platform. We have a deep bench of infrastructure veterans from companies in the Big Three and beyond and a technical founding team who originally created Flyte while at Lyft.
The Opportunity
Reporting into our GTM team, we are hiring a Sales Engineer to support our sales team with our ambitious revenue growth goals as we continue to onboard new customers to Union.
Responsibilities
- Contribute to building our pre-sales motion for a deeply technical infrastructure product.
- 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 pairing technical needs to key features and formulating 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.
- Demonstrate a deep technical understanding of our product to our end users, and use your technical expertise and depth to help solve their needs.
About You
- Experience:
- 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.
- Possess working knowledge of sales frameworks such as MEDDIC.
- Skills & Traits:
- Highly organized and thrive in a high-volume environment that will naturally have ambiguities and competing priorities.
- Able to travel to conferences or customer locations with minimal restrictions and occasionally on short notice.
- Strong Plus:
- Have been a part of or contributed to the Flyte or Union communities.
Benefits & Belonging
At Union.ai, we know that employees who feel their best can build amazing things, and we are proud to offer best-in-class benefits that will continually evolve and grow as the needs of our employees do. Benefits may vary based on country.
- Excellent Medical: We pay 100% of your premiums and 90% for your dependents.
- Generous Dental and Vision Plans: We pay 90% of the premium.