Enterprise AI Engineering Manager

Spellbook

United States

Hybrid

USD 170.000 - 250.000

Vollzeit

Vor 9 Tagen

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Autonomy & accountability
Company benefits
Mental health stipend
Holiday closure
Monthly meals
Wellness allowance
Stock options

Zusammenfassung

Spellbook, the AI copilot for transactional lawyers, is hiring an Engineering Manager to lead the backend, full‑stack, and forward‑deployed teams. You’ll translate customer requests and roadmap bets into a prioritized plan and drive delivery for enterprise customers.

You will work closely with sales, pre-sales, product, design, and customer success to prototype quickly, decide what to demo, and when prototypes should become product.

Qualifikationen

  • 5+ years of software development and technical leadership.
  • Experience leading engineers and delivering production software.
  • Experience working with sales or customer-facing teams on enterprise deals: scoping, technical due diligence, demos, security and procurement reviews.
  • Sound judgement. A record of prioritizing ruthlessly, making tradeoffs transparent, pushing back constructively on sales or customers when needed, and making good calls without waiting for direction.
  • Strong product sense. You can turn ambiguous customer asks into focused plans and shipped results.
  • Strong system design and backend or full-stack skills.
  • Regular use of coding agents or similar AI tools, with concrete examples of improving speed or quality.
  • Clear communicator who aligns engineering, sales, product, and customers around tradeoffs.

Aufgaben

  • Own the Enterprise engineering plan. Turn customer asks and roadmap bets into a prioritized plan with clear owners, milestones, and risks.
  • Partner with sales and the deal desk. Join pre-sales and active deal discussions, size effort and feasibility quickly, and make tradeoffs transparent. Run the deal-desk process from engineering’s side: intake, decision heuristics, and a clear path for the big requests we commit to.
  • Lead pre-sales prototyping. Work with sales, FDEs, and engineers to scope and build fast prototypes and proofs of concept for large deals (integrations, intake flows, workflows). Decide which ones are worth building, keep them time-boxed, and turn the winners into production plans or reusable product capabilities.
  • Lead, coach, and grow engineers across backend, full-stack, and forward-deployed roles, and hire the next ones. Set a high bar for performance without adding unnecessary process.
  • Drive delivery across teams. Manage dependencies with Core, ACM, and Platform, and surface blockers early.
  • Stay technical. Review designs and critical code, prototype when it helps, and step in on the hardest problems.
  • Partner with product, design, and customer success to decide what to build and to feed what we learn from deployments back into the core product.
  • Raise the team’s AI velocity. Adopt coding agents and automated review where they improve speed or quality, and define practical standards for quality and reliability.

Kenntnisse

Software leadership
Delivery ownership
Enterprise deals
Judgement
Product sense
System design
AI tooling
Communication

Jobbeschreibung

Spellbook, the AI copilot for transactional lawyers, is hiring an Engineering Manager to lead the backend, full‑stack, and forward‑deployed teams. You’ll translate customer requests and roadmap bets into a prioritized plan and drive delivery for enterprise customers.

You will work closely with sales, pre-sales, product, design, and customer success to prototype quickly, decide what to demo, and when prototypes should become product.

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