{"id":1206091,"url":"https://alion.io/job/lightning-ai-senior-product-manager-ai-infrastructure","title":"Senior Product Manager, AI Infrastructure","company":{"id":9002,"name":"Lightning AI","domain":"lightning.ai","url":"https://alion.io/company/lightning-ai","size_band":"501-1000","is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":86,"open_postings":21,"ghost_share":0,"stale_share":0.571,"repost_share":0,"time_to_fill_p50_days":50,"computed_at":"2026-09-24T05:45:00Z"}},"role":"Product","role_family":"Product","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Kubernetes","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch Lightning","optional":false},{"name":"Ray","optional":true},{"name":"SLURM","optional":true}],"status":"live","first_seen_at":"2026-09-24T21:45:59Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-24T23:54:26Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Who We Are\nLightning 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.\nThrough 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.\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\nThe Way We Work\nThe people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice:\nMove with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.\nTake Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through.\nCommunicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together.\nBuild Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work.\nRaise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.\nThink Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.\nWho We're Looking For\nWe’re looking for a Product Manager, AI Infrastructure to own the product experience for Lightning AI’s GPU cloud, from capacity and provisioning through workload execution, reliability, observability, and customer consumption.\nThis role sits at the intersection of AI infrastructure, cloud platforms, and developer experience. You’ll define how customers discover, provision, configure, and operate GPU compute, while partnering closely with infrastructure engineering and operations to make the platform more reliable, efficient, and scalable.\nThe right candidate understands that infrastructure itself is the product. You should be comfortable reasoning about GPU availability and utilization, cluster provisioning, networking and storage, scheduling and orchestration, workload reliability, and the APIs and workflows that expose these systems to customers.\nYou’ll work across Engineering, Infrastructure, Sales, customers, and the executive team to determine what we build, how infrastructure capabilities are exposed and packaged, and where Lightning AI can differentiate from hyperscalers and other GPU clouds.\nThis is a high-ownership role. You’ll investigate infrastructure and customer problems directly, use data to understand reliability and utilization, make technical tradeoffs with engineers, and drive products from problem definition through launch, adoption, and iteration.\nYou’ll join the Product team and report to our VP of Product. This is a hybrid role based in New York City or San Francisco, with an in-office expectation of two days per week.\nWhat You’ll Do\nOwn the product vision and roadmap for Lightning AI’s GPU cloud infrastructure.\nDefine how customers discover, provision, configure, and consume GPU compute.\nBuild product experiences around GPU capacity, clusters, scheduling, networking, storage, and workload execution.\nPartner closely with infrastructure and platform engineering to improve availability, reliability, utilization, and performance.\nDevelop a deep understanding of customer workloads, from experimentation and training through inference, and translate those needs into infrastructure capabilities.\nUse infrastructure and product data to identify capacity constraints, reliability issues, performance bottlenecks, and opportunities to improve the customer experience.\nDefine the APIs, interfaces, and developer workflows through which customers interact with infrastructure.\nMake product tradeoffs across customer experience, infrastructure efficiency, reliability, cost, and engineering complexity.\nOwn pricing, packaging, and consumption models in partnership with Ops, Sales, and Finance.\nPartner with GTM on positioning, technical sales conversations, customer feedback, and competitive differentiation.\nDefine and track metrics across GPU utilization, provisioning, workload reliability, infrastructure consumption, adoption, and retention.\nTake products from problem discovery through requirements, launch, adoption, and iteration.\nWhat You’ll Need\n7+ years of product management experience, including 3+ years building cloud infrastructure, compute, platform, developer tooling, or AI infrastructure products.\nExperience building technical products for developers, infrastructure teams, ML engineers, AI researchers, or other technical users.\nStrong understanding of cloud infrastructure concepts including compute, networking, storage, provisioning, scheduling, and orchestration.\nFamiliarity with GPU infrastructure and the requirements of large-scale AI training, experimentation, or inference workloads.\nTechnical depth to work directly with engineers on APIs, distributed systems, Kubernetes, workload orchestration, observability, and infrastructure reliability.\nExperience using data to understand infrastructure utilization, capacity, reliability, performance, and customer behavior.\nTrack record of owning technical products from problem definition through launch and adoption.\nStrong product judgment and ability to turn complex infrastructure capabilities into simple customer experiences.\nExperience with pricing, packaging, consumption-based products, or cloud infrastructure unit economics.\nStrong prioritization skills and comfort making tradeoffs across customer needs, reliability, infrastructure efficiency, and engineering investment.\nStrong written and verbal communication across technical, customer, and executive audiences.\nComfortable moving quickly and operating in ambiguous environments.\nBS in Computer Science, Engineering, or equivalent practical experience.\nBonus Points\nExperience at a GPU cloud, neocloud, hyperscaler, AI infrastructure company, or infrastructure developer-tools company.\nExperience building products involving GPU provisioning, cluster management, capacity management, workload scheduling, or distributed compute.\nFamiliarity with GPUs, Kubernetes, Slurm, Ray, PyTorch, distributed training, or similar infrastructure technologies.\nExperience with reserved capacity, on-demand compute, utilization optimization, or other cloud consumption models.\nExperience building infrastructure products that support large-scale AI training and inference.\nExperience working closely with data center, hardware, networking, or infrastructure operations teams.\nWe are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits.\nThe anticipated annual base salary range for this role is:\n$200,000—$250,000 USD\nBenefits and Perks\nWe offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success:\nComprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents.\nMeaningful Equity: RSUs that give employees a stake in the company's long-term success.\n Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.).\nFlexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance.\nCompany-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge.\nPaid Parental & Family Leave: Paid leave to support you and your family through life's important moments.\nProfessional Development: Annual learning and development allowance to support your professional growth.\nWellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being.\nSabbatical Program: Four weeks of paid sabbatical leave after four years of service.\nFlexible Work: Flexible schedules and a hybrid work model for our office-based teams.\n In-Office Meals: Complimentary meals at our office hubs.\nBenefits may vary by location, team, and role.\nAt 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. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.","description_format":"text","description_chars":9291,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule","Flexible time off","Hybrid work","Office meals","Parental leave","Professional development","Unlimited PTO"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["MLOps","AI Compute & Inference","AI Development Tools"],"lifecycle":[{"event":"open","at":"2026-09-24T23:54:26Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":50,"reasons":["conf:2","win:early"],"computed_at":"2026-09-25T01:57:09Z"},"pay":{"stated_usd_annual":250000,"is_top_pay":true},"html_url":"https://alion.io/job/lightning-ai-senior-product-manager-ai-infrastructure","json_url":"https://alion.io/job/lightning-ai-senior-product-manager-ai-infrastructure.json","meta":{"generated_at":"2026-09-25T01:57:09Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1992,"day_limit":5000,"remaining_today":3008,"minute_limit":60,"resets_at":"2026-09-26T00:00:00Z"}}}