Weaviate is an AI startup with open source and creativity 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
Full Sales Lifecycle: Manage the end-to-end sales process - from initial outreach and lead qualification to complex contract negotiations and closing.
Territory Strategy: Develop and execute a strategic plan to penetrate key industries (Finance, E-commerce, Healthcare, etc.) within the region.
Solution Selling: Conduct deep discovery to understand prospect pain points and demonstrate how Weaviate’s vector search and AI features provide a competitive edge.
Community Engagement: Work closely with our Developer Relations and Marketing teams to leverage our massive open-source community as a source of enterprise opportunities.
Pipeline Management: Maintain accurate forecasts and CRM records (Salesforce/HubSpot) to ensure predictable revenue growth.
What we are looking for
Experience: 4+ years of B2B SaaS sales experience, preferably in infrastructure, databases, or AI/ML.
US (West) Expertise: Proven track record of hitting and exceeding quotas within the US West Coast market, including familiarity with regional procurement and legal nuances.
Technical Fluency: You do not need to be a developer, but you should be able to comfortably discuss APIs, LLMs, vector embeddings, and cloud architecture (AWS/GCP/Azure).
Communication: Exceptional verbal and written communication skills in English.
Mindset: A 'builder' mentality. You thrive in the ambiguity of a fast-growing startup and enjoy creating your own playbooks.
Training in sales methodologies (e.g., MEDDIC, SPIN, Challenger) is highly desirable.
Quick learner with high emotional intelligence (EQ) and the ability to influence key stakeholders.
Passionate about advancing your career in enterprise sales and deepening your knowledge of our products.
Aligned with our company values and culture.
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.
You will work at the forefront of search, ML/AI, and cloud-native technologies - and all of it is open source.
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’re interested in Weaviate and this role, please apply through this vacancy. We’ll be in touch in response to your application. This way, we can ensure you have the best experience while allowing our team to focus on doing their best work.
Skills Required
- 4+ years of B2B SaaS sales experience
- Proven quota attainment within the US West Coast market
- Ability to discuss APIs, LLMs, vector embeddings, and cloud architecture
- Exceptional verbal and written communication skills in English
- Builder mentality and ability to create sales playbooks in a startup environment
- Quick learner with high emotional intelligence and stakeholder influence skills
- Passion for enterprise sales and product knowledge development
- Alignment with company values and culture
- Experience selling infrastructure, databases, or AI/ML solutions
- Training in MEDDIC, SPIN, Challenger, or similar sales methodologies
What We Do
Weaviate is an open-source, AI-native vector database that enables developers to build and scale AI applications efficiently. It provides the storage, management, and retrieval of data objects represented as vectors, supporting semantic and hybrid search capabilities. Designed for the modern AI ecosystem, Weaviate serves as a foundation for vector search, RAG, and memory, allowing organizations to launch production-ready AI applications faster.
