The TPM will be responsible for managing the backlog, prioritizing initiatives, and facilitating technical literacy among the team. They will also drive change management and adoption, creating structural mechanisms to gather feedback from consultants and driving continuous improvement.

Additionally, the TPM will organize and energize our specialization Guilds, facilitating technical deep dives and ensuring that meetings have deep value. They will also facilitate collaboration and integration between the Services teams, Solutions Architects, Customer Architects, and Product Engineering.

The TPM will manage internal communications to the Global Services organization, drafting newsletters, release notes, and hosting enablement calls. They will also work with Field Engineering leadership to ensure that the assets we build are applicable and used across the entire field teams.

The TPM will define success metrics, move beyond vanity metrics, and track important metrics that prove business value. They will also run sprint planning, stand-ups, and retrospectives with an engineering approach, holding the team accountable for their deliverables.

To be successful in this role, you will need 5+ years of experience as a Program Manager, Technical Project Manager, or Delivery Lead, ideally within a Professional Services, Consulting, or SaaS Customer Success environment. You will also need strong communication skills, mastery of project management tools, and technical aptitude.

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Responsibilities:

• Develop and maintain software, tooling, and automations to ensure the reliability and scalability of our global infrastructure.

• Lead technical initiatives to automate system engineering efforts, ensuring the reliability of our global infrastructure.

• Collaborate with engineers to identify, implement, and deliver solutions that meet the needs of our customers.

• Champion an environment focused on collaboration, operational excellence, and uplifting others.

• Respond to and prevent repeated customer impact in response to major incidents and prioritized problem management.

Requirements:

• Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability.

• Background in software engineering to collaborate with engineers to expertly identify, implement, and deliver solutions.

• Experience in public cloud and managed Kubernetes services is advantageous.

• Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships.

Preferred Qualifications:

• Operated a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform.

• Built or operated a Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it.

• Written non-trivial programs in Golang or other programming languages.

• Worked with containerized services (such as Docker).

• Proven experience in leading and improving alerting and major incident management standard processes metrics systems (e.g. Elastic Stack, Graphite, Prometheus, Influx) to diagnose issues and quantify impacts to present to others at varying levels of the organization.

• Experienced in system administration with professional skills in Linux on distributed systems at scale.

• Diagnosed or designed, implemented, and created solutions with the Elastic Stack.

• Thrived in a self-organizing and sharing in a globally distributed team environment.

• Strengthened team members in bringing out the best of each other by uplifting others with coaching and mentoring.

Compensation:

• This role is eligible to participate in Elastic's stock program.

• Total rewards package includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

• Typical starting salary range for this role is $154,800-$195,600 USD.

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As a Technical Product Manager, you will partner with Support, Revenue Operations, program management, and IT to execute the vision, prioritize, and deliver lovable product features that balance innovation with operational excellence.

Key responsibilities include:

User Discovery: Interview internal users to uncover friction points and root causes, translating these insights into detailed functional requirements and clear feature initiatives tied to business outcomes. Cross-Functional Collaboration: Partner with Field, Engineering, and Revenue Operations to scope, plan, and launch 'lovable' products. Outcome Driven: Define and build success metrics directly into the product design phase, using data to inform current execution and future strategy. Innovation: Identify and apply improvements to internal workflows and new feature sets, incorporating GenAI where appropriate. Efficiency & Adoption: Drive internal efficiency, high feature adoption, and operational cost reduction.

Requirements include:

Technical Fluency: A strong technical background with the ability to discuss trade-offs with engineers. Functional Precision: Proven track record of refining high-level business requirements to granular, actionable technical specifications. Analytical Outlook: Professional experience using data to drive continuous improvement and track product-level success. Leadership & Ownership: Ability to operate with high autonomy and ownership in a fast-paced environment, leading cross-team projects to completion. Humble Attitude: A commitment to the success of the team and the company above all else.

Bonus points include familiarity with SQL and platforms like Pendo, Amplitude, Fullstory, or Looker, experience with Elastic Cloud, Elastic Stack, or similar cloud-based search and analytics platforms, and experience or willingness to work in a distributed, remote-first organization.

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As a Partner Solutions Architect, you will:

• Own Technical Engagement Plans (TEPs) for focus partners, establishing long-term technical roadmaps at the CTO and Practice Lead level.
• Guide partners through high-stakes Technical Validation cycles, ensuring Elastic solutions are built to best-practice standards.
• Lead 'one-to-many' technical 'Build-a-thons' and hands-on laboratory sessions that empower partner engineers to lead their own implementations.
• Build deep relationships with partner pre-sales teams to guide them through the 'how-to' of complex Search AI, Observability, and Security architectures at the configuration level.
• Collaborate on 'design wins' by developing repeatable technical blueprints.

To be successful in this role, you will require:

• Direct, hands-on experience with the Elastic Stack (ELK) or similar distributed search/analytics technologies (e.g., OpenSearch, Solr, Splunk, Datadog).
• 8+ years of experience in technical roles.
• Proven ability to design and build technical prototypes, ingest complex datasets, and optimize search/indexing performance.
• Hands-on experience with Kubernetes, Docker, and Infrastructure as Code (Terraform) on AWS, Azure, or GCP.
• 3+ years in a partner-facing role, with a focus on building technical practices and enabling third-party engineering teams.
• The ability to translate deep technical capabilities into scalable partner-led solutions.

If you are a motivated and experienced professional with a passion for technology and partnership development, we encourage you to apply for this exciting opportunity.

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Collaborate in an environment with an inclusive approach, and focus on operational perfection which uplifts others. Prevent repeated customer impact in response to major incidents and prioritized problem management. Our on-call rotation is spread well, and we address complex customer concerns too.

You will participate in coding, innovating technical designs, crafting solutions, improving resilience, and prioritizing security, bug fixes, and features. For example, debugging Azure Networking for Elastic Cloud Serverless is part of our efforts, and we want your experience to contribute to a truly exceptional customer experience!

You will take an engineering approach in leading technical initiatives for automating network engineering efforts to guarantee the reliability of the global Elastic infrastructure. You will grow our global Platform infrastructure to meet the increasing scaling demands by developing and maintaining software, codebases, tooling and automations.

You will collaborate in an environment with an inclusive approach, and focus on operational perfection which uplifts others. Prevent repeated customer impact in response to major incidents and prioritized problem management. Our on-call rotation is spread well, and we address complex customer concerns too.

You will participate in coding, innovating technical designs, crafting solutions, improving resilience, and prioritizing security, bug fixes, and features. For example, debugging Azure Networking for Elastic Cloud Serverless is part of our efforts, and we want your experience to contribute to a truly exceptional customer experience!

Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability. We want to hear about your customer-first approach in solving operational problems for both today and the future.

Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships. Examples of working in distributed teams or working remotely is desirable.

You have designed and built a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform

You have built Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it.

You have written product features or functions in Golang or other programming languages.

You have worked with containerized services (such as Docker).

You have proven results in leading and improving cross-team engineering initiatives.

You have experience in system administration with professional skills in Linux on distributed systems at scale.

You have diagnosed or designed, implemented and created solutions with the Elastic Stack.

You are experienced in a self-organizing and sharing in a globally distributed team environment.

You strengthen team members in bringing out the best of each other by uplifting others with coaching and mentoring.

Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is $189,800-$232,900 USD. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

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Key responsibilities include collaborating with product management, product design, and multiple teams across Elastic to define and evolve the end-to-end experiences for Observability. You will also be a contact point for other teams within Elastic, providing hands-on support and guidance. Additionally, you will help the team define coding practices and standards, foster a culture of mutual respect, collaboration, and consensus-based decision-making, and stay true to the principles of software development as adopted by the team.

The ideal candidate will have experience leading technical projects in the data and enterprise architecture areas, with a proven knowledge in building and running sophisticated technical infrastructures and engineering sound software systems. They should also have hands-on experience using and developing Observability tools, preferably in the Logs space, and experience mentoring expert engineers, providing technical and professional guidance. Furthermore, they should be able to define a long-term technical vision for an area of a data-intensive application, working across teams and organizations to collaboratively build the technical roadmap.

Bonus points for experience as a user of the Elastic Stack and experience in SRE roles.

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Key responsibilities include being a contact point for other teams within Elastic, fostering a culture of mutual respect, collaboration, and consensus-based decision-making, and being an awesome person to work with.

To be successful in this role, you will need to have a SRE background and experience operating large-scale production services with the help of Observability tools. You should be proficient in operating production infrastructure in K8s and at least one of the three major CSPs, as well as using Observability tools. You will also need to be able to use AI coding agents in the delivery workflow and have excellent verbal and written communication skills.

Bonus points will be given to those with experience as a user of the Elastic Stack.

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Your primary focus will be on building the platform and components that enable customers to gain insights from their data. This team builds and maintains the infrastructure that integrates advanced analytics and machine learning components into the distributed Elastic platform, making these available for our Search, Observability, and Security Solutions.

Key responsibilities include:

• Building and maintaining Machine Learning and advanced analytical platform components.
• Implementing scalable, high-quality, well-architected code.
• Collaborating with other engineering teams within Elastic that build on our platform.
• Assisting our support engineers and community.
• Promoting knowledge sharing and collaboration in a distributed team.

To succeed in this role, you should have strong skills in core Java and be conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You should also have a deep technical proficiency in algorithms and professional experience in leading the development of Machine Learning components.

Bonus points for experience with the Elastic Stack, C++, Python/Go, and open-source experience.

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We build everything from foundational infrastructure that extends Elasticsearch, to user-facing features like Agent Builder that enable customers to create powerful search and Agentic experiences. You'll be the technical leader shaping the architecture and vision for Elastic's Search products, ensuring that using Elasticsearch for building applications, Agents, or as a context engineering Platform is easy to get started with and operate, while preserving the flexibility to configure every aspect of search & relevance.

Responsibilities

• Own and evolve the architecture and roadmap for Search, Context Engineering, and Agent Building.
• Define and enhance the end-to-end developer and user experience across use-cases
• Collaborate with the team owning Elasticsearch and other engineering teams across Elastic to align priorities and make smart technology and design choices.
• Lead technical discussions with partners and customers to ensure our solutions meet real needs.
• Review and advise implementation designs.
• Evangelize the Search roadmap internally and externally.
• Mentor engineers and foster technical excellence.

Requirements

• Proven experience as technical leader for large, complex engineering teams and projects.
• Deep expertise in Java/JVM, search technologies, context engineering, experience building complex distributed systems, or understanding of the inner workings of databases/data stores
• Passion about Search
• Ability to reason about architecture at both high and detailed levels
• Hands-on experience: comfortable coding, reviewing PRs, and staying close to the team’s work
• Excellent communicator, collaborator, and problem solver
• Operates with high autonomy

Bonus Points

• Extensive technical leadership in search.
• Experience with the Elastic Stack.
• Built search products at scale.
• Open-source project leadership or major contributions.

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Your technical expertise, eye for business, and ability to deliver value will accelerate and improve the customer experience leading to customer continued satisfaction and expansion within the elastic portfolio. In your role, a crucial part of your responsibility is defining and communicating the technical success criteria for our customers. This involves crafting detailed Technical Success Plans tailored to the specific customers goals and critical metrics.

Collaborate closely with the account team, including the Account Executive and the Solutions Architect (Pre-sales engineer), to provide ongoing technical coverage and support, while the account team focuses on identifying new deals. Define the technical success plan for each customer, outlining the optimal use of Elastic solutions to achieve their business objectives. Ensure a successful technical customer journey, from onboarding to adoption, while continuously driving the consumption of Elastic solutions.

Understand and articulate the value proposition of Elastic solutions and align them with the customer's business goals. Work closely with customers to identify and eliminate technical frictions, promoting a smoother adoption and implementation of Elastic solutions. Liaise between customers and support, as necessary, to ensure an optimized support resolution experience smoothing the adoption curve for the customer.

As a hands-on technical authority, collaborate with the Service Team to deliver personalized, frictionless solutions that meet the unique needs of each customer. Develop a comprehensive understanding of the customer's business needs and translate these into technical requirements for Elastic solutions. Find opportunities for expansion, at which point the account team takes over to expand the subscription, aiming to grow annual recurring revenue (ARR).

Foster ongoing customer relationships, ensuring that customers continue to increase their utilization of Elastic solutions, further driving ARR. Continuously review and assess customer consumption of Elastic solutions, proactively suggesting upgrades and enhancements that increase value and drive further consumption.

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You'll collaborate with Elastic’s Professional Services, Engineering, Product, and Sales teams to accelerate adoption of the Elastic Observability platform, ensuring customers maximise the value of their data while achieving business outcomes. This is a highly impactful role, with opportunities to guide strategy, lead complex implementations, and mentor both customers and teammates.

Key responsibilities include:

• Translating business and technical requirements into scalable, outcome-driven solutions built on the Elastic Stack.
• Leading end-to-end delivery of customer engagements , from discovery and design through implementation, enablement, and optimisation.
• Partnering with customers to architect, deploy, and operationalise Elastic solutions that drive measurable value and adoption.
• Providing technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles.
• Collaborating cross-functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement.
• Capturing and sharing best practices, lessons learned, and solution patterns across the Elastic Services community.
• Contributing to internal enablement, mentoring, and a culture of continuous learning and collaboration

Required skills include:

• 5+ years as a consultant, architect, or engineer with expertise in observability, monitoring, or related domains.
• Expertise in the Telecommunications domain, especially with Mobile networks and devices.
• Strong experience with time-series data ingestion and processing, including pipelines with Elastic Agents, Beats, and Logstash.
• Knowledge of messaging queues (Kafka, Redis) and ingestion optimisation strategies.
• Understanding of observability concepts like distributed tracing, metrics pipelines, log aggregation, anomaly detection, SLOs/SLIs.
• Experience with one or more: Kubernetes, cloud platforms (AWS, Azure, GCP), or infrastructure as code.
• Familiarity with Elastic Common Schema (ECS), data parsing, and normalisation.
• Proven experience deploying Elastic Observability (APM, UEM, logs, metrics, infra, network monitoring) or similar solutions at enterprise scale.
• Hands-on expertise in distributed systems and large-scale infrastructure.
• Ability to design and build dashboards, visualisations, and alerting thresholds that drive actionable insights.
• Experience with Kubernetes, Linux, Java, databases, Docker, AWS/Azure/GCP, VMs, Lucene.
• Strong communication and presentation skills, with experience engaging directly with customers.
• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field, or equivalent experience.
• Comfortable working in highly distributed teams, both remote and on-site when needed.
• May require significant travel to customer sites to support engagements and solution implementations; candidates should be comfortable with varying levels of travel based on business needs.

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