• Lead the end-to-end AI/ML lifecycle • Define and drive the AI architecture that supports complex product requirements • Design and oversee the creation of high-fidelity AI prototypes • Set the standard for model tuning and evaluation frameworks • Partner with core engineering teams to build infrastructure and CI/CD pipelines (MLOps) • Conduct deep research into emerging AI technologies • Mentor senior and mid-level engineers

Title: Software Engineer, AI Infrastructure Location: Bay Area, San Francisco, United States Job Description: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: Glean is looking for software engineers to help build the world's best search and assistant product for work. Our engineers work on a range of systems across the stack, including generative AI, RAG, query understanding, document understanding, domain-adapted language models, natural language question-answering, evaluation, and experimentation. We interact regularly with customers, deeply understand their pain points, and use whatever tool is necessary, simple or complex, to solve their problems. You will: - Design, build, and improve AI/ML systems and data pipelines infrastructure, including platforms that power large language model serving, routing, and orchestration at scale. - Work with and enable other engineers focused on modeling and Agentic capabilities - Build agentic systems that leverage AI to proactively monitor, diagnose, debug and maintain infrastructure health at scale across cloud deployments - Write robust code that's easy to read, maintain, and test - Mentor more junior engineers, or learn from battle-tested ones About you: - 2-5 years of experience - BA/BS in computer science, math, sciences, or a related degree - Proven ability to design, build, and ship production-ready software, ideally around AI/ML infrastructure (Batch processing pipelines, Serving infrastructure, LLM orchestration etc.) - Strong coding skills (Python, Go, Java) - Thrive in a customer-focused, tight-knit and cross-functional environment — being a team player and willing to take on whatever is most impactful for the company is a must - A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features Location: - This role is hybrid (3-4 days a week in one of our Bay Area offices) Compensation & Benefits: The standard base salary range for this position is $175,000 - $270,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-HYBRID

AI ML Engineer We are seeking a Senior AI/ML Engineer with 5+ years of hands-on experience in Artificial Intelligence and Machine Learning. The ideal candidate should have worked in organizations where AI/ML technologies are actively implemented in production environments, particularly in Document AI and intelligent automation. Key Responsibilities - Design, develop, and deploy scalable AI/ML models for document processing and automation. - Build end-to-end pipelines for data extraction, classification, and validation. - Implement and integrate Document AI and OCR-based solutions. - Develop LLM-driven applications using modern frameworks and orchestration tools. - Collaborate with cross-functional teams to deliver business-focused AI solutions. - Optimize model performance, accuracy, and scalability in production environments. - Stay updated with the latest advancements in AI/ML technologies. Core Competencies - Strong experience in production-grade AI/ML implementations. - Expertise in Intelligent Document Processing (IDP) and Document AI. - Hands-on experience with LLM frameworks and workflow orchestration. - Strong analytical, problem-solving, and debugging skills. - Ability to work in fast-paced, technology-driven environments. Must-Have Technical Skills - Rossum - Hyperscience - Nanonets - Infrrd - Microsoft Azure AI Document Intelligence - AWS Textract - LandingAI ADE Split - LlamaParse - LayoutLMv3 - Donut (Document Understanding Transformer) - LangGraph - LangChain Education & Qualifications - Bachelor’s or Master’s degree in Artificial Intelligence, Machine Learning, Computer Science, or a related field. Additional Requirement - Candidates must have prior experience working with organizations that actively utilize AI/ML technologies in real-world, production-grade environments. - Strong Mathematical foundation (Linear Algebra, Probability, Statistics, Optimization) is highly desirable. Preferred Qualifications - Experience in large-scale AI deployments on cloud platforms. - Strong background in NLP, OCR, and document automation workflows. - Experience with model fine-tuning, prompt engineering, and evaluation techniques.

About ScienceLogic… ScienceLogic is redefining IT operations for the modern enterprise. Our AIOps platform empowers organizations to achieve Autonomic IT — where systems are self-healing, self-optimizing, and seamlessly aligned with business outcomes. We help enterprises and service providers gain unified visibility across hybrid and multi-cloud environments, automate workflows, and unlock performance at scale. We’re accelerating digital transformation through the power of automation, AI, and analytics — giving IT and business leaders the tools to deliver superior customer experiences, drive efficiency, and innovate with confidence. We are seeking a visionary VP of Engineering to lead the development and delivery of ScienceLogic’s Skylar AI platform. This is a rare opportunity to own and shape the engineering strategy for a transformative AI product from the ground up - building the teams, systems, and culture that will drive ScienceLogic’s next decade of innovation. The ideal candidate is a deeply technical AI practitioner and proven engineering leader who thrives at the intersection of cutting-edge AI research and large-scale enterprise software delivery. You will report to the CPEO and work in close partnership with Product, Design, Sales, and Customer Success to build AI experiences that are not only technically exceptional but commercially impactful. Key Responsibilities Own the Skylar AI Engineering Vision • Working with the Skylar AI CTO, define and drive the end-to-end engineering strategy for the Skylar AI platform, including model architecture, inference infrastructure, data pipelines, APIs, and runtime services. • Translate product and business objectives into a compelling technical roadmap, with clear milestones, priorities, and measurable outcomes. • Serve as the primary engineering authority for Skylar AI—maintaining deep, hands-on engagement with core AI/ML systems, architecture decisions, and emerging capabilities. • Champion responsible and explainable AI practices, establishing engineering standards that ensure reliability, safety, fairness, and scale. Transform Engineering for an AI-First World • Lead the transformation of ScienceLogic’s engineering processes, tooling, and culture to be AI-centric—embedding AI-assisted development, automated testing, and intelligent observability throughout the SDLC. • Champion modern engineering methodologies including AI-augmented CI/CD, LLM-assisted code review, and automated quality assurance pipelines. • Establish best practices for working with foundation models, fine-tuning workflows, RAG architectures, and AI evaluation frameworks. • Drive a culture of continuous experimentation and rapid iteration, enabling the team to quickly test hypotheses, learn from data, and ship with confidence. Build & Lead a World-Class Engineering Organization • Recruit, develop, and retain exceptional engineering talent, building diverse, high-performing teams capable of delivering category-defining AI products. • Create a culture of accountability, psychological safety, and excellence—where engineers are empowered to take ownership and push the boundaries of what’s possible. • Define clear career paths, performance standards, and mentorship programs that attract top AI/ML engineers and grow them into future leaders. • Lead geographically distributed teams with consistency and clarity, fostering cohesion and alignment across time zones and functions. • Manage engineering capacity and resource planning to support aggressive growth targets while maintaining quality and sustainable team health. Drive Cross-Functional Alignment & Executive Partnership • Partner closely with the CTO, CPO, and executive leadership to align engineering investments with ScienceLogic’s revenue growth and strategic priorities. • Collaborate with Sales, Marketing, and Customer Success to incorporate customer insights into the engineering roadmap and communicate platform capabilities with clarity and confidence. • Represent Skylar AI externally as a thought leader—speaking at industry events, engaging with key customers and partners, and elevating ScienceLogic’s AI brand. • Communicate roadmaps, progress, risks, and tradeoffs with precision and transparency to all stakeholders, including the board of directors. Skills & Experience Required • 15+ years of progressive engineering leadership experience, including 5+ years in senior roles (VP or equivalent) leading large-scale product engineering organizations. • Deep, hands-on technical expertise in AI/ML—including experience with LLMs, neural networks, model training/fine-tuning, vector databases, RAG architectures, and AI evaluation methodologies. • Proven track record of transforming engineering organizations to adopt AI-centric development practices, tooling, and workflows. • Demonstrated success building and scaling high-performing, geographically distributed engineering teams in a fast-paced enterprise software environment. • Strong command of modern cloud-native architectures—microservices, Kubernetes, event-driven systems—and experience delivering highly available, enterprise-grade SaaS platforms. • Exceptional communication skills: ability to distill complex technical concepts for executive, customer, and board audiences with clarity and confidence. • Track record of delivering products on time and on budget, with measurable business impact. • Outstanding cross-functional collaboration skills and executive presence. Preferred • Experience in IT Operations, AIOps, ITOM, or ITSM domains. • Advanced degree (MS or PhD) in Computer Science, AI/ML, or a related technical discipline. • Experience presenting at industry conferences or contributing to the external AI/engineering community as a thought leader. Why ScienceLogic • Own and define the engineering story for a flagship AI platform at the forefront of enterprise IT transformation. • Join a leadership team that values bold thinking, transparency, and a relentless focus on customer outcomes. • Competitive compensation package including equity, comprehensive benefits, and flexible remote work. • A collaborative, mission-driven culture where your work directly shapes the future of AI-powered IT operations. Benefits & Perks - Comprehensive medical, dental and vision plans. - 401(k) plan with employer match. - Flexible Paid Time Off (FTO) so that you can take the time that you need to re-energize. - Volunteer Time Off (VTO) - take two days off per calendar year to volunteer with your preferred charitable organization. - 5-year Service Milestone Sabbatical. - Paid parental leave. - Generous employee referral bonus program. - Pet insurance. - HQ Office centrally located in Reston Town Center featuring a well-stocked kitchen with rotating snacks and beverages, and catered lunch on Thursdays. - Regular virtual company-wide events, including cooking classes, yoga, meditation and more. - The opportunity to learn and develop from some of the best and brightest minds in the industry! Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At ScienceLogic, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which you are applying. About ScienceLogic ScienceLogic is a leader in IT Operations Management, providing modern IT operations with actionable insights to resolve and predict problems faster in a digital, ephemeral world. Its solution sees everything across cloud and distributed architectures, contextualizes data through relationship mapping, and acts on this insight through integration and automation. www.sciencelogic.com