Senior Pre-Sales Engineer — AI for Law Firms

DeepJudge AG

Zürich

Hybrid

CHF 130,000 - 180,000

Full time

14 days+

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Job summary

DeepJudge AG in Switzerland is seeking an experienced technical pre-sales professional to own the sales engineering lifecycle from discovery to deployment discussions. You will articulate how DeepJudge fits into large law firms and corporate legal teams, balancing on-premises and cloud options with strong security focus.

You'll partner with Sales, Revenue, Product, and Engineering to address technical questions, build collateral, and create scalable processes as the team grows, working closely

Qualifications

  • 4+ years in a client-facing, technical, or analytical role.
  • Ability to understand a complex product and explain it clearly to partners and executives.
  • Interest in technology, AI, and legal tech with a track record of ramping fast on technical topics.
  • Strong ownership to run a process and manage stakeholders with minimal hand-holding.

Responsibilities

  • Lead technical discovery, demos, and Q&A on product, deployment, security, and integrations for late-stage and large prospects.
  • Serve as trusted technical advisor to Sales and coordinate with deployments team.
  • Own and improve security overviews, deployment guides, integration references, and demo materials.
  • Partner with Sales, Revenue, Product, and Engineering to answer technical questions and feed customer insight into roadmap.
  • Build a repeatable, scalable pre-sales process as we grow.

Skills

Client-facing technical role
Sales engineering
Solution architecture
Complex product storytelling

Job description

DeepJudge AG in Switzerland is seeking an experienced technical pre-sales professional to own the sales engineering lifecycle from discovery to deployment discussions. You will articulate how DeepJudge fits into large law firms and corporate legal teams, balancing on-premises and cloud options with strong security focus.

You'll partner with Sales, Revenue, Product, and Engineering to address technical questions, build collateral, and create scalable processes as the team grows, working closely

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