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Presales Engineer (USA West Coast)

Role overview

Qualifications

  • Strong foundation in databases
  • Understanding of relational and NoSQL systems
  • Knowledge of search engines and indexing fundamentals
  • Ability to communicate with engineers and product teams

Responsibilities

  • Understand use cases and turn vague ideas into clear requirements
  • Shape realistic PoCs including storage models, querying patterns, and performance expectations
  • Guide teams through architectural decisions and explain trade-offs
  • Run demos and technical sessions and act as the main technical point of contact during evaluations

Key facts

Hard skills

Other skills

  • Problem Solving
  • Communication

About the company

Q-tech logo

Q-tech

Staffing & Recruiting

We are a tech recruitment company specialising in information technology, dedicated to connecting your team with exceptional talent in the industry. We collaborate with a diverse range of clients - from early-stage startups and growing scale-ups to established medium-sized businesses and multinational corporations (banking, retail, industry) - to identify the IT talent that brings their most ambitious projects to life. For each project, we design a tailored recruitment plan - from crafting standout job offers and selecting top candidates to providing ongoing support throughout the negotiation and onboarding process. Our headhunters speak the language of tech. That's why we have created different specialized teams focused on what matters: systems, software and product engineering, management functions, sales and marketing. If you’re looking for talent, let’s chat: cfont@q-techrec.com

Company details

IndustryStaffing & Recruiting
Company size11 - 50

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Job description

I’m supporting a fast-growing and well-funded product company in the AI infrastructure space, and their Pre-Sales Engineer position for the West Coast feels like a strong match for your background.

They build one of the most widely adopted vector databases in the market, used by teams at Disney, Microsoft and Twitter, plus hundreds of smaller companies building real AI products. They’ve grown to around 100 people, fully distributed, with a very technical, hands-on culture.

The role sits at the intersection of architecture, problem-solving and customer interaction. You’d work with companies already exploring the product and help them evaluate it properly. Typical activities include:

  • Understanding use cases and turning vague ideas into clear requirements

  • Shaping realistic PoCs (storage models, querying patterns, performance expectations)

  • Guiding teams through architectural decisions and explaining trade-offs

  • Running demos and technical sessions

  • Acting as the main technical point of contact during evaluations


The key requirement is a strong foundation in databases: relational, NoSQL, search engines, indexing fundamentals. You don’t need to write production code, and you don’t need a specialised ML background. What matters is how well you understand data systems and how clearly you can communicate with both engineers and product teams. Everything else (RAG, LLMs, cloud) is useful but not essential.

It’s a 100% remote role in the US (West Coast), with occasional travel for customer sessions or internal events.
Compensation is in the 160 to 180k USD base range plus stock options, with high ownership thanks to the team’s size and seniority.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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