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Elastic

Searches enterprise data and monitors systems

Senior Engineering Manager - Agents and Context, Platform

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeRemote in Greece€73.3k - €115.9kRemote

About the Job

Requirements

  • A proven track record as an established engineering manager of software engineering teams, including hiring, coaching, promotions and performance management.
  • A track record of delivering large, multi-team software initiatives in a distributed, async-first environment, including creating or improving team processes.
  • Previous hands-on software engineering experience as a senior contributor, with enough technical depth to understand a TypeScript/Node/React stack, an Elasticsearch-backed system, and how LLM-powered products are built and evaluated. Production coding is not expected, but the role requires identifying bottlenecks, risks and one-way-door decisions.
  • Familiarity with LLM applications, ideally including retrieval-augmented generation, agents and tool use, evaluation, and prompt and context engineering.
  • Strong written and verbal communication, including clear, concise long-form writing.
  • Ability to hold people accountable and navigate difficult conversations with empathy.

Responsibilities

  • Lead a distributed team of approximately 12 engineers building the Chat platform.
  • Own delivery of the Chat roadmap by breaking it into milestones, identifying risks and ensuring predictable delivery.
  • Run team hiring end to end, including job descriptions, interview loops, sourcing with Recruiting and onboarding.
  • Coach and develop engineers at every level through regular one-to-ones, clear expectations and honest feedback.
  • Run performance management, including promotions, development plans and managing underperformance through resolution.
  • Partner with the Technical Lead and Product Manager to shape the roadmap and priorities, and collaborate with data science, UX and other Agents and Context teams on shared primitives and quality signals.
  • Build and improve team processes for planning, asynchronous communication, release and on-call practice through consensus and clear writing.
  • Represent the team to leadership and stakeholders.

Desired Qualifications

  • Experience with Elasticsearch, Kibana, search and information retrieval, or open source communities.
  • Product acumen, including comfort with ambiguity, setting and communicating priorities, and interest in what makes an agentic product effective for users.

About the Company

Elastic

Searches enterprise data and monitors systems

Elastic builds search, observability and security software for developers, IT operations teams and security analysts. Elasticsearch indexes enterprise data so applications can retrieve records, while Kibana gives teams dashboards for exploring results and investigating system activity. Customers use the tools to search business information, monitor applications and infrastructure, and investigate threats across their data. Elastic sells managed cloud services and self-managed subscriptions, with resource-based hosted pricing, usage-based serverless pricing and licenses tied to nodes and memory. Founded in 2012, Elastic lists San Francisco, California, as its headquarters.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2012

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