Enterprise Solution Engineer

About Weaviate

Weaviate is an AI startup with open source at its core. Our AI-native vector database uses machine learning to create meaningful insights from unstructured data in a completely new way. Named one of Forbes’ Top 50 AI startups, and with over a million monthly downloads, Weaviate is quickly growing in popularity with developers and enterprises alike.

Our team members work remotely across the globe with the flexibility to work from anywhere and at any time. Our people experience this as a massive benefit! Operating with a strong sense of ownership and collaboration, our teams prioritize results while empowering each individual to do their best work.

About this role

As an Enterprise Solution Engineer, you'll work closely with our pre and post-sales teams to win customers and make them successful with AI. Your mission is to embed deeply with our prospects from first touch, through proof of concepts, into production and beyond. You will become an expert on our enterprise customers: understanding their objectives, guiding them on how to successfully deploy Weaviate to deliver business value and using your learnings to inform our product evolution.

This role requires a curious and analytical approach, a sharp intuition for our product, and a strong degree of user insight to empower our customers to transform the way they operate through AI. Your technical expertise and ability to communicate effectively with diverse audiences will be key to driving customer success and ensuring the continued evolution of our product.

No two days are the same, but you can expect to:

• Collaborate with the Sales team to win and onboard customers.
• Meet with prospects and customers to understand their objectives, identify what we can do to make them successful, and then leverage the breadth of Weaviate’s resources to action.
• Build demos and Proof of Concepts (PoCs) to show the value that Weaviate can bring to a customer’s use case and domain.
• Empower customers to deliver unique AI workflows into production through workshops, training, and ad-hoc engagement.
• Evangelize the results of our work and identify next opportunities for each customer.
• Collaborate with our product teams to evolve and scale our product based on empirical evidence from the field.
• Drive customer communications, including kick-offs, onboarding, weekly calls, and QBRs.

What We Value

• Team members who will dive into the details to learn deeply about our customers.
• Relationship-orientation and high EQ.
• Low ego because the outcome matters more than who gets the credit.
• Adaptive and introspective; willing to learn, guide, lead, and follow.
• Unrelenting drive to help our customers succeed.

What we are looking for

• 5+ years of experience in a customer-facing role.
• Ability to travel 25 – 50% and the desire to be where our customers are.
• You have an interest in everything related to Search, AI, and ML.
• Experience in programming, e.g., Golang, Java, Python.
• Working experience with large-scale Search Engines (Solr, Elasticsearch, etc.).
• Excellent understanding of container orchestration, e.g., Kubernetes and Docker.
• Experience in setting up and managing deployments on major cloud providers such as AWS, GCP, Azure.
• Nice to have: you have experience writing infrastructure as code (Terraform, CDK, etc.).
• You are comfortable taking responsibility and using your excellent comprehension skills to develop solutions to complex customer problems quickly.
• Excellent written and verbal English communication skills.
• You have a strong bias for action.
• You are aligned with our company values.
• Location: Remote, based in US in order to support our US customers.

What we offer

• 100% remote with flexible work hours.
• Competitive compensation, including paid time off.
• Budget available to spend on going to conferences, co-working space, home office equipment, etc.
• Work with very experienced and fun team members.
• An atmosphere that encourages learning and personal growth, and that gives you lots of freedom, flexibility, and responsibilities.

Are you interested?

Have a look at this page to learn what you can expect from our interview process. Be aware that conducting a background check is part of our onboarding.

If you are interested in Weaviate and this role, you can apply via the ‘apply now!’ button below. All of our communication will be done in response to your application. If you have any questions feel free to reach out to our Head of People & Culture - and not to one of our colleagues (via LinkedIn). In this way, we ensure that our people can focus on doing their best work.