You are a Systems Engineer at heart, but you are ready to apply LLMs, RAG, and predictive modeling to solve infrastructure challenges at scale.

Our Team's Stack:

• Languages: Python, Go, bash/sh
• Observability: Prometheus, Victoria Metrics, Grafana
• OS & Kernel: Linux Kernel (custom build), Ubuntu
• Hardware: Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs
• Containerization: Docker, Kubernetes (k8s), KubeVirt, containerd, kubelet

Responsibilities:

• Pipeline Architecture: Design, maintain, and automate reproducible OS image build pipelines for our massive fleet of GPU-accelerated servers.
• Kernel Distribution: Collaborate with kernel engineers to package, validate, and distribute custom Linux builds across Intel, AMD, and ARM architectures.
• Dependency Management: Build tooling to manage dependencies, versioning, and release workflows, ensuring hermetic builds.
• Telemetry & Metrics: Standardize the collection of build metrics to create a baseline for future AI modeling.
• 'Smart' CI/CD & Auto-Remediation: Architect AI agents that ingest and analyze build logs in real-time. Develop systems that auto-triage errors, categorize failure patterns, and generate context-aware fix suggestions for engineering teams.
• Predictive Regression Modeling: Design ML workflows that utilize historical performance data to detect kernel and OS regressions (latency, throughput, stability) in staging environments before they impact production.
• Dynamic Kernel Tuning: Implement closed-loop feedback systems that analyze real-time system metrics and automatically suggest or apply sysctl parameter optimizations for specific customer workloads.
• Next-Gen ChatOps: Engineer LLM-driven interfaces for Slack/internal tools, enabling stakeholders to query build statuses, request log summaries, or provision resources using natural language commands.

Requirements:

• 4+ years of professional experience in Linux Systems Engineering, Release Engineering, or DevOps.
• Deep knowledge of Linux internals (boot process, kernel modules, networking stack).
• Experience with package management (Debian/Ubuntu) and build systems.
• Strong proficiency in Python (essential for the AI integration aspects of this role).
• Demonstrable experience integrating API-based AI models (OpenAI, Anthropic, or local open-source models) into software workflows.
• Understanding of RAG (Retrieval-Augmented Generation) architectures for querying technical documentation or logs.
• Experience building event-driven automation (e.g., using webhooks to trigger analysis agents).
• Familiarity with data structures required for vector search or time-series analysis.

Nice-to-haves:

• Experience with Kubeflow or MLFlow.
• Background in High-Performance Computing (HPC).
• Experience fine-tuning small language models (SLMs) for code or log analysis tasks.

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To be successful, you will have experience marketing to developers and need to become comfortable with the technical aspects of Elastic's products and solutions, including LLM and SLMs, the markets they play in, as well as, the creative aspects of positioning technology through messaging and narratives that are compelling, authentic, and differentiated!

Key responsibilities include: Acting as a technical product marketing lead for the Jina AI, and taking ownership of the strategy to drive awareness and market penetration of key capabilities Serving as an internal authority on the developer persona Crafting compelling, technical and differentiated outbound product messaging and content (like blogs, videos, tutorials, web pages, webinars that resonate with developers) Enabling the field on our solutions, through training and content (e.g. pitch decks and playbooks.) Building and implementing plans to reach and champion relationships with our developer and technology partner ecosystem Planning and implementing product launches (with operational marketing teams), including creating launch materials and content to support and coordinate with team members Building a positive partnership with peers in Product Management, Engineering and Community to effectively launch new features and products and engage with users Attending and presenting at Elastic events, third party trade shows and other events to help showcase our products to technical audiences.

What you bring: 7-10 years of experience in product marketing in a technical environment Proven track record of effectively marketing technical products to developers or technical audiences Curiosity about the 'how' of technology to tell compelling stories about the 'why' Ability to work in a very cross functional role, with a highly distributed team Experience driving a GTM and crafting high quality assets Be a spokesperson for product capabilities and Elastic at large for internal and external audiences - including webinars, trainings, and analyst briefings Excellent spoken and written communication skills

Bonus considerations: Direct experience with developers, and audiences that build applications Product marketing experience with technical AI, SaaS or infrastructure products preferred Experience crafting engaging content for developers, including blog posts, decks, videos, etc. Comfortable marketing to technical leaders Familiarity with Elasticsearch, Elastic Platform or our solutions

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 $135,700-$214,700 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.

Additional information: 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

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Microsoft AI are looking for a talented Principal Software Engineer - AI Ads to shape the future of online advertising in Mountain View, CA or Redmond, WA. You'll lead the design and development of large-scale shopping ads infrastructure that powers billions of products worldwide.

About the Role

As a Principal Software Engineer - AI Ads, you will be responsible for leading the design, development, and optimization of large-scale shopping ads infrastructure and algorithms. You will build and maintain the universal product graph spanning billions of products across multiple languages. You will develop scalable systems for data ingestion, storage, retrieval, and real-time serving at global scale. You will apply machine learning (ML), nature language processing (NLP), and deep learning (DL) models to improve ad relevance, personalization, and selection.

Accountabilities

• Lead the design, development, and optimization of large-scale shopping ads infrastructure and algorithms.
• Build and maintain the universal product graph spanning billions of products across multiple languages.
• Develop scalable systems for data ingestion, storage, retrieval, and real-time serving at global scale.
• Apply machine learning (ML), nature language processing (NLP), and deep learning (DL) models to improve ad relevance, personalization, and selection.

The Candidate we're looking for

Experience:

• 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Deep learning frameworks (e.g., PyTorch, TensorFlow), LLMs/SLMs, and AI Agents.
• Cloud services, large-scale big data platforms, and streaming/real-time frameworks (e.g., Kafka, Flink, Spark Streaming), and AI infrastructure development.

Personal attributes:

• Ability to meet Microsoft, customer and/or government security screening requirements.

Benefits

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge AI innovation at massive scale.
• Collaborative and dynamic work environment.
• Professional development opportunities.

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