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Principal Technical Product Manager

Summit

**
United States
Full Time
Posted 14 days ago

Some product challenges reach beyond a single roadmap. They involve shared technology, competing priorities, and decisions that affect how multiple services work together.

As a Principal Technical Product Manager at Summit, you’ll lead complex initiatives across products and technical domains. You’ll work with product leadership and partners across Delivery, Sales, and Marketing to turn strategic direction into clear product decisions, coordinated plans, and measurable outcomes.

This is a senior individual contributor role reporting into the Head of Product. Your impact will come through technical product judgment, influence across teams, and mentorship that strengthens how Summit plans and delivers complex product work.

What you'll own:
  • A product family, end to end. Own strategy, roadmap and P&L outcomes for our private cloud, storage, and OS management product families, from discovery through launch and adoption.
  • The roadmap, with real decision rights. Decide what we build, what we defer and what we kill. Bring a recommendation with the tradeoffs, not a list of options.
  • Customer and market truth.Spend time with customers, partners, and our Sales and SE teams every month. Turn what you hear and what the data shows into clear problem statements.
  • Launches that land.Ship with Engineering on a predictable cadence, and equip Sales, SEs and channel partners to sell what we ship from day one.
  • Cross-portfolio opportunities. Find where infrastructure and application-hosting products combine into offers neither unit could sell alone.
What success looks like:
  • First 30 days: You know the product, the customers and the team. You have met 3 customers and shadowed Sales and SE calls, and you can explain where the product wins and loses.
  • First 90 days: You have published a revised roadmap for your area with clear priorities and the reasoning behind them, and the team is shipping against it. At least one meaningful release is out the door.
  • First year: Your area has moved a business number we agreed on up front, such as bookings, net revenue retention rate, or EBITDA margin. Engineering, Sales and leadership trust your calls without needing to re-litigate them.
How you'll work:
  • You move with urgency. You see a two-week delay as a cost, not a calendar fact. You unblock things yourself, make reversible decisions quickly, and save deliberation for the ones that can't be undone.
  • You work independently and own the roadmap. Nobody hands you a backlog. You decide what matters, write it down, defend it, and change course when the evidence says so. You escalate decisions, not problems.
  • You’re curious about customers.You’d rather sit in on a customer call than read a summary of one, and you know our competitors’ pricing without looking it up.
  • You hold strong opinions loosely. You make decisions with data where it exists and judgment where it doesn’t, and you say “I was wrong” quickly.
  • You change your language for the room.With Engineering you go deep on architecture, APIs, hypervisors, networking and tradeoffs, and you earn their respect. With Sales, partners and customers you explain the same product in terms of outcomes, price and risk, without jargon. You write clearly for both.
  • You raise the bar for the team.Your requirements documents, roadmaps and launch plans become the examples others copy. You coach other PMs informally through your work.

What you bring:

Must-haves

  • 8+ years in product management, with B2B infrastructure, cloud, hosting, networking or developer-platform products
  • A track record of owning a roadmap and showing a measurable business result from it; you can name the number and what you did to move it
  • Technical depth to hold your own with infrastructure engineers on virtualization, storage, networking or platform APIs; an engineering or SE background is a plus
  • Evidence of shipping on a tight cadence, including at least one product taken from idea to launch
  • Clear, concise writing for both technical and executive or customer audiences
  • You use AI tools every day to move faster: research, drafting, analysis, prototyping

Nice-to-haves

  • Experience with private cloud platforms (e.g. CloudStack, VMware, Hyper-V, Proxmox, alternatives), storage arrays, AI infrastructure, or security products
  • Pricing, packaging or margin work for usage-based or hourly-billed services
  • Experience selling through channel partners or enabling a sales and SE team
  • Experience integrating products or teams after an acquisition

If you meet most of the must-haves and the role excites you, apply. We hire for capability, not checkboxes.

How We Work at Summit

How you approach the work matters just as much as what you do. At Summit, our core values show up in how we make decisions, work together, and support our customers.

We build the infrastructure that keeps businesses running. We need people who take that seriously, and have fun doing it.

Our Core Values:

  • Empower our people
  • Constant elevation
  • Customer first
  • Focus on outcomes
  • Embrace curiosity
Benefits

Summit offers a total rewards package designed to support you at work, at home, and everywhere in between. Here’s a snapshot of what that looks like:

  • Flexible Time Off (yes, really) – take what you need, we trust you to manage it
  • Medical, Dental & Vision – comprehensive coverage with HSA/HRA options
  • 401(k) with 4% match – we invest alongside you
  • Parental Leave – paid time for the moments that matter most
  • Life & Disability Insurance – built-in peace of mind
  • Wellness Support – resources for your mental and physical health
  • Free Colocation & Cloud Access – build and experiment in real environments
  • Work From Anywhere – remote-friendly by design
  • A low-ego, get-it-done culture – come as you are, do great work
Compensation

The salary range for this role is $140,000 – $180,000 annually. Compensation is based on the responsibilities of the role, experience, skills, geographic market, and internal equity. We believe great careers are built one step at a time, and compensation should grow alongside your impact.

Internal candidates may see variations based on current role, compensation, and progression at Summit. Same thoughtful approach, just with additional context.

Summit is committed to a diverse and inclusive workplace. Summit is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

As part of this commitment, Summit will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email .

Originally posted on Himalayas

Senior Technical Product Manager, Infrastructure Resilience

NVIDIA

**
United States
Full Time
Posted 23 days ago

We're building software that helps cloud partners and operators understand why AI workloads fail and keep GPU clusters ready for work. You'll bring deep experience in GPU cluster operations to help automate investigations across hardware and software. Working with engineering and operations teams, you'll turn those findings into product priorities. We're hiring a Technical Product Manager to own AI infrastructure resilience platform capabilities and developer experience, including GPU node health contracts and interfaces, workload failure attribution, and the open-source software that operators and cloud partners build on. You will own the roadmap and work directly with the engineering and operations communities that deploy and extend this software. This role contributes to NVIDIA's open, modular infrastructure software for designing, operating, and optimizing AI factories at scale.

We encourage technical product managers, architects, site reliability engineers, and infrastructure engineers who understand the management of GPU clusters and want to help operators solve these problems to apply.

What you'll be doing:

  • Own the product vision, roadmap, and delivery priorities for AI infrastructure resilience, partnering with engineering on architecture and execution.
  • Work with customers and partners to identify gaps in GPU cluster operations and define platform capabilities that address them. Help operators assess node readiness and distinguish hardware failures from application failures, while shaping which signals are available through public interfaces or extensions that require additional access.
  • Work directly with cloud partners and cluster operators to translate their operational requirements into platform capabilities.
  • Lead community engagement for open-source platform projects, including contribution models, ecosystem partnerships, and developer adoption.

What we need to see:

  • 12+ years of experience across product management, solutions architecture, software engineering, or site reliability engineering on technical infrastructure products. Technical depth in GPU or AI infrastructure is required.
  • Knowledge of GPU failure modes: XID codes, ECC correctable and uncorrectable errors, DCGM metrics, NVLink and PCIe health signals.
  • Understanding of why AI workloads fail and GPU nodes become unavailable for scheduling. This includes distributed training failures (NCCL timeouts and framework errors), distinguishing hardware from application faults, scheduler health and drain behavior, and interpreting signals from DCGM, sysfs, and dmesg.
  • Demonstrated ability to work with senior technical customers and translate operational requirements into product decisions.
  • Strong written and verbal communication across technical and non-technical audiences.
  • Bachelor's degree in Computer Science or equivalent experience.

Ways to stand out from the crowd:

  • Hands-on experience as a site reliability or infrastructure engineer supporting GPU clusters. You have triaged workload failures, interpreted XID logs, and worked across teams to investigate failed training runs spanning thousands of GPUs.
  • Deep familiarity with GPU scheduling, topology-aware placement, or multi-tenant GPU cluster management: Slurm prolog/epilog, Kueue, or Kubernetes-native scheduler environments.
  • Experience building products that produce structured diagnostics or attribution output: health verdict schemas, log analysis pipelines, rules-engine systems, or observability APIs at data center scale.
  • Practical experience delivering or contributing to an open-source infrastructure project, including managing contributor engagement on GitHub.

Known throughout the tech industry as a highly sought-after employer, NVIDIA delivers highly competitive salaries and an extensive benefits package. As you consider your future, explore what we can provide for you and your family at


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 16, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Originally posted on Himalayas

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