Technical Support Engineer

Metaview•San Francisco, CA

12d•Hybrid

About The Position

Metaview is an AI company focused on recruiting. We build AI agents that help world-class companies hire with radically more speed and precision. We automate the toil, and augment the human for companies like Brex, Affirm, Deel, ElevenLabs, and Airtable. Founded by Siadhal and Shahriar after their experiences scaling Uber and Palantir, we’ve raised over $50m from top-tier investors. Most recently, Google Ventures led our series B. We’re growing 5x YoY, our customers are raving fans of the product, and our story has been covered in Fortune, Forbes, TechCrunch, and The Times. It’s still day 0: Now is the time to re-engineer how work gets done with AI at the core, and our toughest challenges still lie ahead. We’re looking for people seeking the hardest, most fulfilling work of their lives. How we work We operate with one core principle: velocity. In practice, this means we: Optimize everything we do around accelerating rate of learning. Do truly great work Communicate openly and directly, and with full context. All while maintaining a hard-earned reputation for craft and quality. The role: We're building out our first dedicated technical support function so our customers continue to get fast, expert troubleshooting and technical guidance on complex issues as we continue to scale. As our Technical Support Engineer, you'll become the go-to expert on how Metaview actually works under the hood—digging into logs, spotting patterns, and turning one-off problems into scalable solutions. You'll work closely with our Customer Success, Sales, Engineering teams, and you'll have real ownership over the internal tools and processes that make troubleshooting faster and more self-serve over time.

Requirements

1–3 years in a customer-facing technical support, solutions, or similar role at a B2B software company.
Comfort digging into logs, systems, and documentation to get to root causes,
Experience translating ambiguous customer issues into clear, structured problem statements and next steps.
Demonstrated ability to collaborate closely with Customer Success, Sales and Engineering, providing crisp, context-rich escalations.
SQL experience and basic coding proficiency; familiarity with low-code / internal tooling or a strong interest in building simple tools and automations to reduce manual work.
Clear, concise written and verbal communication, especially when explaining complex issues to non-technical stakeholders.
High ownership mindset: you’re hands-on, proactive, and motivated by improving the underlying system—not just closing tickets.
Happy to work in a hybrid working arrangement. We aim for 3 days (or more) per week in the office. This role is San Francisco based

Responsibilities

Take end-to-end ownership of escalated technical issues, ensuring they’re investigated and resolved quickly.
Use internal logs and tooling to diagnose issues, identify root causes, and clearly distinguish between configuration, customer-environment, and product problems.
Design and maintain lightweight internal tools and workflows that make recurring investigations faster and more self-service for the CS team.
Create and continuously improve internal documentation so that both humans and AI-powered tools can reliably surface the right answers.
Partner with Account Managers on key enterprise accounts, joining calls when needed to guide customers through technical troubleshooting.
Collaborate with Engineering to provide clear, well-scoped, and context-rich bug reports that accelerate prioritisation and fixes.

Benefits

The best co-workers you’ll ever have, in an environment that fosters cohesion, collaboration, and performance.
Supreme rate-of-learning as we re-orient how the world works with AI.
High compensation, through cash and equity.
All the benefits you’d expect and more.

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