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July 15, 2026

Senior Operations Specialist

Senior • On-site

140,004 - 159,996 USD/yr

San Francisco, CA

Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.

Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.

We serve solo researchers, startups, and large enterprises.

What We're Looking for

Lightning AI is looking for a Senior Operations Specialist to sit within our centralized Operations Team. The role of the Ops team at Lightning is to enable Lightning to operate with greater velocity, efficiency, connectivity, and context.

  • Classic operator: understand problems with analytical rigor and empathy-driven intuition, and deliver high-impact solutions that unblock growth.
  • Project owner: build plans, align cross-functional teams, and drive results through communication and impact tracking.
  • Solutions builder: code and build solutions from scratch, iterate based on feedback, and ensure sustainability.

AI is central to the role through agents, workflows, connections, and automation.

Who You Are

You thrive in high-agency environments with minimal direction. You are skilled at cross-functional collaboration, solving root problems sustainably, and operating with reliability and low ego.

What You'll Do

  • Take end-to-end ownership of projects that unblock company growth.
  • Partner with teams across the organization to identify friction and build scalable AI-powered internal tools.
  • Collaborate with embedded operators across PeopleOps, SalesOps, LegalOps, and other teams.
  • Support central Ops initiatives such as Business Health, Internal Communications, and Company Event Planning.
  • Maintain internal Ops documentation and organizational context.
  • Solve ambiguous, time-sensitive operational problems and build durable systems.
  • Measure impact using a data-driven approach and continuously iterate.

Required Qualifications

  • 4+ years of experience in operations, consulting, or high-ownership roles.
  • Demonstrated end-to-end project ownership.
  • Experience diagnosing problems and driving change across stakeholder groups.
  • Ability to build and deploy AI agents or multi-step automations.
  • Experience with third-party APIs, SaaS platforms, workflow automation tools, and AI coding tools.
  • Strong analytical thinking.
  • Experience in high-growth startup environments.

Nice to Haves

  • Proficiency in SQL and/or Python for data extraction, analysis, and scripting.
  • Familiarity with the modern data stack including BigQuery, Looker, dbt, and Fivetran.
  • Experience in product-led or developer-tool companies.
  • Experience in centralized Ops or Center of Excellence models.

Compensation

The anticipated annual base salary range for this role is $140,000—$160,000 USD. Eligible employees may also receive discretionary bonuses, equity, and comprehensive benefits.

Benefits and Perks

  • Comprehensive medical, dental, and vision coverage
  • Retirement and financial wellness support
  • Generous paid time off and holidays
  • Paid parental leave
  • Professional development support
  • Wellness and work-from-home stipends
  • Flexible work environment

Lightning AI is committed to fostering an inclusive and diverse workplace and providing equal employment opportunities.

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159,996 - 219,996 USD/yr

🏢 Summary: Senior Technical Program Manager role focused on leading large-scale infrastructure programs across compute, networking, storage, datacenter operations, and platform rollouts. The position involves coordinating cross-functional teams, managing dependencies and risks, and driving execution for infrastructure expansion and hardware readiness initiatives in a fast-paced AI infrastructure environment. 🗂️ Requirements: 8+ years of Technical Program Management experience, Experience in infrastructure, cloud, or distributed systems environments, Experience managing network, compute, storage, and datacenter infrastructure programs, Program planning and dependency management expertise, Risk mitigation and cross-functional coordination skills, Experience managing multiple technical workstreams simultaneously, Strong communication skills with engineering and operations stakeholders, Ability to operate in ambiguous and fast-moving environments 📃 Skills: Python, PyTorch, GPU, Networking, Storage, Datacenter, Cloud, Infrastructure, Observability, Security 🏢 Description: Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. What You'll Do We are seeking an experienced Senior Technical Program Manager to lead complex, cross-functional programs that span compute, network, storage, observability, and datacenter operations. You will drive delivery of high impact initiatives, define clear milestones and dependencies, and partner closely with engineering, operations, and leadership to ensure predictable execution in a fast moving technical environment. Responsibilities: - Drive execution across multiple infrastructure programs, including network builds and upgrades, storage initiatives, datacenter builds and expansions, and hardware/platform rollouts - Own program planning, milestone definition, and dependency management across parallel workstreams - Partner with Infra Engineering, Network, DC Operations, Hardware, Security, and Platform teams to align scope, timelines, and delivery - Coordinate execution across initiatives such as: - Network expansions, upgrades, and large-scale migrations - Datacenter expansions and capacity growth - Hardware bring-up and infrastructure readiness - Next-generation platform rollouts (e.g. new GPU architectures), ensuring end-to-end readiness across infrastructure layers - Drive cross-functional alignment to ensure infrastructure is ready for deployment, bring-up, and customer usage - Manage risks, blockers, and dependencies across engineering and operations teams - Provide clear, concise program updates to leadership, highlighting progress, risks, and mitigation plans - Operate effectively in a fast-moving, ambiguous environment with shifting priorities - Contribute to improving execution frameworks, tooling, and program visibility across the infrastructure organization Who You Are - 8+ years of experience as a Technical Program Manager in infrastructure, cloud, or distributed systems environments - Strong experience driving execution across multiple technical workstreams (network, compute, storage, datacenter infrastructure) - Proven ability to coordinate complex, cross-functional programs without needing to be the deepest domain expert in every area - Experience operating across multiple infrastructure domains rather than a single area of specialization - Comfortable operating in ambiguous environments with evolving priorities and limited process - Strong communicator who can align engineering, operations, and leadership stakeholders - Skilled in program planning, dependency management, and risk mitigation - Able to manage multiple programs simultaneously while maintaining execution quality Ideal Experiences - Experience supporting infrastructure scale-out, hardware deployment, or capacity expansion programs - Familiarity with GPU/compute platforms, network infrastructure, storage systems, or datacenter operations - Experience coordinating infrastructure readiness for new hardware or platform rollouts - Background working in fast-paced or high-growth environments - Experience partnering across hardware, network, and platform/software teams Compensation The anticipated annual base salary range for this role is: $160,000—$220,000 USD Benefits and Perks Benefits include: - Comprehensive medical, dental and vision coverage (U.S.); Private medical and dental insurance (U.K.) - Retirement and financial wellness support (U.S.); Pension contribution (U.K.) - Generous paid time off, plus holidays - Paid parental leave - Professional development support - Wellness and work-from-home stipends - Flexible work environment At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic.

Technology

Lightning AI

Senior Technical Program Manager

Senior

On-site

Seattle, WA

159,996 - 219,996 USD/yr

🏢 Summary: Senior Technical Program Manager role focused on leading large-scale infrastructure programs across compute, networking, storage, datacenter operations, and hardware platform rollouts. The position involves coordinating cross-functional teams, managing execution and dependencies, and ensuring infrastructure readiness for AI platform deployments in a fast-paced environment. 🗂️ Requirements: 8+ years of Technical Program Management experience, Experience in infrastructure, cloud, or distributed systems environments, Experience managing network, compute, storage, and datacenter infrastructure programs, Program planning and dependency management skills, Risk mitigation and cross-functional coordination experience, Ability to manage multiple technical programs simultaneously, Experience operating in ambiguous, fast-moving environments, Strong communication with engineering and operations stakeholders 📃 Skills: Python, PyTorch, GPU, Networking, Storage, Datacenter, Infrastructure, Cloud, Observability, Security 🏢 Description: Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. What You'll Do We are seeking an experienced Senior Technical Program Manager to lead complex, cross-functional programs that span compute, network, storage, observability, and datacenter operations. You will drive delivery of high impact initiatives, define clear milestones and dependencies, and partner closely with engineering, operations, and leadership to ensure predictable execution in a fast moving technical environment. Responsibilities: - Drive execution across multiple infrastructure programs, including network builds and upgrades, storage initiatives, datacenter builds and expansions, and hardware/platform rollouts - Own program planning, milestone definition, and dependency management across parallel workstreams - Partner with Infra Engineering, Network, DC Operations, Hardware, Security, and Platform teams to align scope, timelines, and delivery - Coordinate execution across initiatives such as: - Network expansions, upgrades, and large-scale migrations - Datacenter expansions and capacity growth - Hardware bring-up and infrastructure readiness - Next-generation platform rollouts (e.g. new GPU architectures), ensuring end-to-end readiness across infrastructure layers - Drive cross-functional alignment to ensure infrastructure is ready for deployment, bring-up, and customer usage - Manage risks, blockers, and dependencies across engineering and operations teams - Provide clear, concise program updates to leadership, highlighting progress, risks, and mitigation plans - Operate effectively in a fast-moving, ambiguous environment with shifting priorities - Contribute to improving execution frameworks, tooling, and program visibility across the infrastructure organization Who You Are - 8+ years of experience as a Technical Program Manager in infrastructure, cloud, or distributed systems environments - Strong experience driving execution across multiple technical workstreams (network, compute, storage, datacenter infrastructure) - Proven ability to coordinate complex, cross-functional programs without needing to be the deepest domain expert in every area - Experience operating across multiple infrastructure domains rather than a single area of specialization - Comfortable operating in ambiguous environments with evolving priorities and limited process - Strong communicator who can align engineering, operations, and leadership stakeholders - Skilled in program planning, dependency management, and risk mitigation - Able to manage multiple programs simultaneously while maintaining execution quality Ideal Experiences - Experience supporting infrastructure scale-out, hardware deployment, or capacity expansion programs - Familiarity with GPU/compute platforms, network infrastructure, storage systems, or datacenter operations - Experience coordinating infrastructure readiness for new hardware or platform rollouts - Background working in fast-paced or high-growth environments - Experience partnering across hardware, network, and platform/software teams Compensation The anticipated annual base salary range for this role is: $160,000—$220,000 USD Benefits and Perks Benefits include: - Comprehensive medical, dental and vision coverage (U.S.); Private medical and dental insurance (U.K.) - Retirement and financial wellness support (U.S.); Pension contribution (U.K.) - Generous paid time off, plus holidays - Paid parental leave - Professional development support - Wellness and work-from-home stipends - Flexible work environment At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic.

Technology

Datadog

Manager II, Engineering - AI Platform Training, Serving and Storage (NorAm)

Senior

On-site

New York, NY

19,500 - 25,000 USD/yr

🏢 Summary: Leadership role to build and scale a 0→1 ML/AI platform enabling large-scale model training and inference across the organization. The position drives technical vision, roadmap, and organizational structure while overseeing multiple teams and managers. It covers the full AI lifecycle, from training and serving to deployment and monitoring, using open-source tooling. 🗂️ Requirements: Experience building 0→1 ML/AI platforms, Hands-on experience with open-source ML infrastructure (e.g., Ray, AnyScale), Strong technical background in large-scale training and inference systems, Experience managing managers and leading multiple engineering teams, Proven record of delivering production-grade AI systems, Experience defining technical vision and roadmap for AI platforms, Experience supporting full AI lifecycle: training, serving, deployment, monitoring 📃 Skills: Python, Ray, AnyScale, ML, AI, OpenSource, Training, Inference, Deployment, Monitoring, Infrastructure, Platforms 🏢 Description: The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI, LLMObs and all our AI research. You’ll join a new and fast growing team that is critical to the future of Datadog. You will support building and scaling the team, help define our technical vision and help shape the roadmap. You will manage other managers and help define the future structure of our organization, participating in the recruitment of the future managers and ICs of the department. You’ll work closely with partner teams in the AI platform organization ensuring a seamless AI development cycle. You’ll also partner with the Applied AI org, product engineering teams, and Datadog infrastructure & tooling teams to build out systems from the ground up. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Lead a fast-growing organization around 20 people across 2 teams soon to be 3. You will define the roadmap for your scope and work with ICs and managers to establish the technical direction Collaborate with the engineering team and product manager to define the future of the roadmap Create a strong organizational culture centered around our engineering standards and customer- focused approach Support the whole lifecycle of AI development, including model training, serving, deployment and monitoring Who You Are: You’ve led teams that have built 0 to 1 ML/AI Platforms, with an emphasis on Open Source Tooling (i.e. Ray / AnyScale), versus pure out-of-the-box solutions. An experienced engineer and team player with strong technical skills to influence the technical direction of your teams A people leader with strong interpersonal skills, who has built and led high-performing software engineering teams, including managing managers Interested in working on an early stage project with many challenges to solve and a fast iteration cycle. You bring a strong bias for delivery and make impact through ambiguity. You have a track record of delivering high-quality software on schedule and collaborating closely with product partners. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our Internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$234,000—$300,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Technology

TechTree

Senior/Staff Backend Engineer

Senior

On-site

Wroclaw, Poland

130,000 - 190,000 USD/yr

🏢 Summary: Senior or Staff Backend Engineer role focused on architecting and scaling AI-native backend services for a modern accounting platform. The position involves designing distributed systems, building secure and high-performance APIs, and establishing engineering standards to support rapid, reliable product delivery. You will work closely with Product, AI, and Operations teams to build scalable data pipelines and incident response infrastructure. 🗂️ Requirements: 5–10+ years of backend engineering experience, Proven experience designing and operating production backend systems at scale, Strong expertise in API design and data modelling, Deep understanding of distributed systems and architectural trade-offs, Hands-on experience with AWS or GCP in production environments, Practical experience with CI/CD pipelines and automated testing, Experience building and maintaining observability and on-call practices 📃 Skills: TypeScript, Node.js, React, AWS, GCP, Terraform, PostgreSQL, OpenAI, Azure, CI/CD, APIs, DistributedSystems, DataModelling, Observability 🏢 Description: ABOUT THE COMPANY We're an applied AI company building an AI-native alternative to legacy accounting software — a market worth tens of billions in annual recurring revenue. Our mission is to help entrepreneurs focus on what matters in their business and life, and to help their accountants become more strategic. We've raised $20M from a group of top-tier investors and have grown ARR 60% month-on-month since our public launch. We now serve thousands of businesses and are expanding our product to serve accountants directly — creating a two-sided platform where both business owners and their accountants use and recommend us. We're at an early but proven stage, moving fast, and building a world-class engineering team in Wrocław to match our ambition. ABOUT THE ROLE We're looking for a Senior or Staff Backend Engineer to own and evolve our backend services as we scale. This is a broad, high-impact role — you'll architect new features, build the systems that underpin our core product, and set the engineering standards that shape how the whole team works. The focus is on building a modern, AI-native developer experience. That means working closely with Product, AI, and Operations teams to design agentic systems, distributed data pipelines, and scalable incident response infrastructure — and doing it in a way that lets the team ship with confidence multiple times a day. WHAT YOU'LL WORK ON Architecture and feature design Partner with Product, AI, and Operations teams to architect new features and complex agentic systems. Make clear architectural trade-offs that balance platform, product, and business goals. Backend services and APIs Build and maintain the backend services and APIs that power the core product. Ensure systems are secure, well-tested, and high performance. Distributed systems Design and implement distributed services to orchestrate data pipelines, automate investigations, and enable incident response at scale. Operational excellence Own operational best practices so the team can ship multiple times a day with confidence. Healthy on-call culture and strong observability are part of what you'll build and maintain. Engineering standards Set the bar for writing, communication, and system design across the team. Your influence will shape how a modern AI-native product is built. WHAT WE LOOK FOR 5–10+ years of backend engineering experience A strong track record designing, building, and operating production backend systems at scale. Deep backend fundamentals Expertise in API design, data modelling, and reasoning about distributed systems trade-offs. You understand the nuances, not just the patterns. AWS or GCP hands-on experience Solid understanding of how infrastructure decisions impact application reliability and performance. You've run things in production, not just designed them. CI/CD in practice Practical experience with testing and deployment strategies in high-frequency shipping environments. Observability and on-call maturity A solid grasp of what good observability looks like and how to build healthy on-call practices that don't burn people out. Bonus Experience at an early-stage or scaling startup. Exposure to modern AI and ML systems. Experience shipping product without a dedicated product manager. TECH STACK TypeScript, React, Node.js, AWS, Terraform, PostgreSQL, OpenAI, Azure AI. The team uses GitHub, Slack, Linear, Figma, and Notion day to day. THE TEAM Small, senior, and in-person. The office is in central Wrocław, next to the main train station. The expectation is 4–5 days a week in the office — this is a deliberate choice, not a compromise. Relocation support is available for the right candidate. COMPENSATION & BENEFITS Salary $130,000 – $190,000 USD depending on experience, plus competitive equity. Wellness and commute stipend $100 per month. Hardware Premium hardware provided — MacBook Pro and AirPods. Food Daily in-office lunch and dinner. Time off 20 PTO days plus 9 US public holidays. Relocation Support available for candidates relocating to Wrocław.