Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
The Chat team, part of Elastic’s Agents and Context group, builds the conversational and agentic platform that lets customers chat with and operate on their own data in Elasticsearch. We own the conversation experience, the agent harness and tools, retrieval and citations, streaming, memory, and the evaluation layer that keeps answers grounded and reliable. Everything we ship is production software that other Elastic solutions build on.
As Senior Engineering Manager you will lead a distributed team of approximately 12 engineers building this platform. Every engineering team at Elastic is led by a trio of Product Manager, Technical Lead and Engineering Manager. You will directly manage the engineers on the team, act as its primary project manager, and work with the PM and Tech Lead to define and deliver the roadmap. This is a people and delivery leadership role in a fast-moving space: the right person is energized by shaping structure where there is little, and keeps a calm, direct style while priorities shift.
Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. As a result, our team is diverse and distributed across continents. The ability to lead a distributed team is critical.
What You Will Be Doing- Own delivery of the Chat roadmap: break it into milestones, see around corners on risk, and make sure the team ships predictably.
- Run hiring end to end for the team: job descriptions, interview loops, sourcing with Recruiting, and onboarding.
- Coach and develop engineers at every level, with regular 1:1s, clear expectations and honest feedback.
- Run performance management with consistency: promotions, development plans, and managing underperformance through to resolution.
- Partner with the Tech Lead and PM to shape roadmap and priorities, and with data science, UX, and the other Agents and Context teams on shared primitives and quality signals.
- Build and improve team process (planning, async communication, release and on-call practice) through consensus and clear writing rather than top-down mandate.
- Represent the team to leadership and stakeholders.
- 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. You will not write production code, but you need to spot bottlenecks, risks and one-way-door decisions.
- Familiarity with LLM applications, ideally including RAG, agents and tool use, evaluation, and prompt and context engineering.
- Experience with Elasticsearch, Kibana, search and information retrieval, or open source communities is a plus.
- Product acumen: comfortable with ambiguity, able to set and communicate priorities, and genuinely interested in what makes an agentic product good for users.
- Excellent written and verbal communication. Clear, concise long-form writing is how this team works.
- Direct, kind, calm and empathetic. You hold people accountable and navigate hard conversations without drama.
Compensation for this role is in the form of base salary. This role does not have a variable compensation component.
At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets.
The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position.
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.
- Competitive pay based on the work you do here and not your previous salary
- Health coverage for you and your family in many locations
- Ability to craft your calendar with flexible locations and schedules for many roles
- Generous number of vacation days each year
- Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
- Up to 40 hours each year to use toward volunteer projects you love
- Embracing parenthood with minimum of 16 weeks of parental leave
Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.
We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email [email protected]. We will reply to your request within 24 business hours of submission.
Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)
Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.
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Skills Required
- Established engineering manager experience leading software engineering teams
- Experience hiring, coaching, managing promotions, and handling performance management
- Experience delivering large, multi-team software initiatives in a distributed, async-first environment
- Experience creating or improving engineering team processes
- Previous hands-on software engineering experience as a senior contributor
- Technical depth with TypeScript, Node.js, React, Elasticsearch-backed systems, and LLM-powered products
- Familiarity with LLM applications, including RAG, agents, tool use, evaluation, prompt engineering, and context engineering
- Product acumen and ability to set and communicate priorities amid ambiguity
- Excellent written and verbal communication skills
- Ability to lead distributed teams across continents
- Experience with Elasticsearch, Kibana, search, information retrieval, or open source communities
- Experience with LLM applications involving RAG, agents, tool use, evaluation, prompt engineering, and context engineering
Elastic Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Elastic and has not been reviewed or approved by Elastic.
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Fair & Transparent Compensation — Pay is considered competitive across many technical and go‑to‑market roles and compares well within its peer group. Strong equity components and benefits bolster perceived total compensation.
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Healthcare Strength — Health coverage is described as fully paid for employees and families in many locations, which is unusually generous among tech firms. Comprehensive medical, dental, and vision coverage is emphasized in official materials.
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Parental & Family Support — A minimum of 16 weeks of paid parental leave is offered globally, with additional family‑formation support. These policies are positioned as core elements of the package.
Elastic Insights
What We Do
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
Why Work With Us
Free and open isn’t just how we build our products, it’s how we build our culture. We value creativity and mobility, so you can grow how (and where) you want to… and be happier at work.
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