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Weaviate

Open-source vector database for semantic search

Technical Sales Specialist

Account ExecutiveUpdated on Nov 13
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • 4+ years of B2B software sales experience in a competitive, fast-paced environment, ideally within enterprise SaaS, developer tools, databases, cloud infrastructure, or AI/ML technologies.
  • Experience supporting or managing complex sales cycles involving multiple stakeholders, technical evaluations, and enterprise buying processes.
  • Strong technical aptitude and the ability to confidently discuss APIs, cloud architecture, databases, vector search, large language models, and AI/ML use cases with technical audiences.
  • Demonstrated ability to collaborate effectively with Account Executives, Solutions Engineers, and cross-functional teams to advance opportunities and achieve shared revenue objectives.
  • Ability to conduct meaningful discovery, uncover customer needs, qualify opportunities, and connect technical solutions to measurable business outcomes.
  • Proven experience identifying, prospecting, qualifying, and developing sales opportunities through outbound engagement, inbound leads, and account-based strategies.
  • Strong understanding of enterprise sales processes, including stakeholder mapping, opportunity management, technical validation, objection handling, and deal progression.
  • Ability to establish credibility and build trusted relationships with developers, engineering leaders, technical decision-makers, and business stakeholders.
  • Strong revenue orientation with a track record of meeting or exceeding sales targets and contributing to pipeline and bookings growth.
  • Exceptional verbal and written communication skills, with the ability to simplify complex technical concepts and articulate compelling value propositions.
  • Ability to manage multiple opportunities, prioritize effectively, and drive initiatives forward with minimal oversight.
  • Comfort operating in a fast-growing startup environment, adapting to ambiguity, and helping develop scalable processes and sales playbooks.
  • Intellectual curiosity, willingness to deepen technical expertise, and interest in a career in enterprise technology sales.
  • Alignment with Weaviate's values, culture, and commitment to collaboration, ownership, and customer success.

Responsibilities

  • Partner closely with Enterprise Account Executives to develop and execute account strategies that drive pipeline creation, opportunity progression, and revenue growth.
  • Support opportunities throughout the sales lifecycle, from initial qualification and technical discovery through evaluation, negotiation support, and closing.
  • Collaborate with Account Executives to identify key stakeholders, map buying committees, develop account engagement strategies, and build relationships across complex enterprise organizations.
  • Proactively identify and address technical, commercial, and organizational obstacles that could delay or prevent deals from progressing.
  • Coordinate customer follow-ups, technical resources, stakeholder engagement, and next steps to maintain deal momentum.
  • Partner with Account Executives on account planning, opportunity strategy, and deal reviews to support execution against revenue objectives.
  • Own defined sales activities and opportunities while maintaining alignment with the Enterprise Account Executive responsible for the account.
  • Lead and support discovery conversations with technical and business stakeholders to understand customer architecture, use cases, challenges, and business objectives.
  • Develop an understanding of Weaviate's technology, including vector search, embeddings, retrieval-augmented generation, AI/ML workflows, APIs, and cloud-native infrastructure.
  • Translate technical capabilities into clear business outcomes and value propositions.
  • Partner with Solutions Engineering to coordinate technical deep dives, product demonstrations, proof-of-concept evaluations, and solution validation.
  • Help customers understand how Weaviate integrates into their technology environments and supports their AI initiatives.
  • Identify technical requirements, success criteria, and potential blockers early in the sales process to improve qualification and deal progression.
  • Build credibility with developers, architects, engineering leaders, and technical decision-makers while connecting technical value to enterprise priorities.
  • Identify and develop high-value opportunities within assigned enterprise accounts and territories in partnership with Enterprise Account Executives.
  • Use the open-source community, product usage signals, inbound engagement, and intent data to identify organizations showing adoption or commercial potential.
  • Identify opportunities to convert open-source users and product adoption into enterprise sales conversations.
  • Execute targeted outbound prospecting and account-based engagement strategies across technical and business stakeholders.
  • Partner with Marketing, Developer Relations, and Business Development to use inbound demand, community engagement, and buying signals.
  • Research target accounts to identify AI initiatives, infrastructure requirements, potential use cases, and opportunities for Weaviate adoption.
  • Develop personalized outreach strategies connecting customer challenges and technical needs to Weaviate's capabilities.
  • Generate qualified pipeline and advance opportunities that contribute to enterprise revenue goals.
  • Work with Enterprise Account Executives to deepen engagement within strategic accounts and identify opportunities for additional use cases, teams, and workloads.
  • Build relationships with stakeholders across engineering, data science, AI/ML, IT, and business functions.
  • Identify expansion signals through customer engagement, product adoption, and evolving technical requirements.
  • Support account penetration and multithreading strategies to expand Weaviate's presence within enterprise organizations.
  • Help develop account-specific value propositions, customer use cases, and business cases that support enterprise adoption and expansion.
  • Collaborate with internal stakeholders to maintain continuity between technical evaluation, commercial discussions, and long-term account development.
  • Maintain accurate opportunity records, customer interactions, next steps, and pipeline activity in Salesforce, HubSpot, or other CRM systems.
  • Work with Enterprise Account Executives, Solutions Engineering, Marketing, Developer Relations, and Revenue Operations to coordinate account engagement and sales execution.
  • Support opportunity qualification using established sales methodologies.
  • Help develop and refine sales plays, technical messaging, competitive positioning, objection handling, and enablement resources.
  • Participate in pipeline reviews, deal strategy sessions, and account planning discussions to identify risks, opportunities, and actions needed to advance deals.
  • Demonstrate urgency, accountability, and follow-through in managing customer interactions and internal deliverables.
  • Share customer insights, competitive intelligence, and feedback to improve the broader Enterprise sales organization.
  • Contribute to qualified pipeline, opportunity conversion, sales cycle velocity, and enterprise bookings by identifying opportunities, accelerating deal progression, strengthening account penetration, converting technical interest into qualified sales opportunities, and taking ownership of opportunity development and execution work.

Desired Qualifications

  • Experience in enterprise SaaS, developer tools, databases, cloud infrastructure, or AI/ML technologies is preferred.
  • Familiarity with structured qualification and sales methodologies such as MEDDIC, MEDDPICC, SPIN, or Challenger is highly desirable.

About the Company

Weaviate

Open-source vector database for semantic search

Weaviate develops an open-source vector database for AI-powered applications. It stores data objects alongside their vector embeddings, enabling fast semantic and similarity searches across unstructured data such as text, images, and audio. The system is cloud-native and modular, letting developers plug in ML models and frameworks from OpenAI, Cohere, and Hugging Face, and it scales horizontally through sharding. It offers a self-hosted option and managed cloud services (Weaviate Cloud and Enterprise Cloud) with features like hybrid search, advanced filtering, multi-tenancy, and RAG modules, helping developers build scalable AI data apps.

Company size
51-200
Company stage
Series B
Total funding
$67.7M
Headquarters
Amsterdam, Netherlands
Founded
2019

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