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Principal Product Manager - MLOps Platform

In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity.


If you'd like to build the world's best deep learning cloud, join us. 

*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

About the role

We're looking for a Principal Product Manager to lead Lambda’s MLOps platform – from strategy formation through implementation, launch, and iterative improvement. Your job is to eliminate the friction ML teams face when developing, deploying, and maintaining models. You’ll tackle problems around data pipelines, experiment reproducibility, deployment complexity, monitoring failures, and model drift.

Your success depends on your ability to deeply understand real-world ML workflows, collaborate effectively with engineers and researchers, and translate high degrees of uncertainty and ambiguity into actionable plans.

In this role, you will:

  • Own strategy and roadmap for the MLOps Platform layer of Lambda’s public cloud.

  • Own revenue growth, profitability, adoption, and customer satisfaction.

  • Drive execution across engineering, support, sale, marketing, and leadership. 

  • Ensure we’re ahead of the curve on emerging trends, research, competition, and tools.

  • Develop partnerships with key AI ecosystem players to enhance our MLOps capabilities and market reach.

  • Define key performance metrics and success benchmarks to measure, optimize, and demonstrate Lambda’s leadership in operationalizing machine learning at scale.

Your technical qualification:

  • You have 10+ years of product management experience and 5+ years in the trenches with ML model builders.

  • You have personally led a new product, from initial conception to commercial success.

  • You already deeply understand how model builders debug, iterate, experiment, and suffer in the real world.

  • You’re technical enough that the engineers you work with regularly forget you're a PM.

  • You’re already ahead of the curve in AI – keeping up with emerging trends, techniques, tools, and research.

  • You have a strong technical foundation – CS, Engineering, Math degree (or equivalent experience).

You'll thrive if:

  • You ship the right thing fast and own outcomes.

  • You do whatever it takes to get the job done.

  • You find crisp paths forward through uncertainty, ambiguity, constraints, and obstacles.

  • You quickly identify what truly matters and make hard trade-offs without hesitation.

  • Teams leave meetings with you energized, aligned, and fully clear on next steps.

  • You thrive in high-stakes, fast-moving environments.

  • You can mobilize teams from standstill to full-speed execution.

Salary range information

The annual salary range for this role is $300,000 - $385,000, based on market data and experience. A higher or lower salary may be offered depending on qualifications.

About Lambda

  • Founded in 2012, ~350 employees (2024) and growing fast

  • We offer generous cash & equity compensation

  • Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.

  • We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability

  • Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

  • Health, dental, and vision coverage for you and your dependents

  • Commuter/Work from home stipends for select roles

  • 401k Plan with 2% company match (USA employees)

  • Flexible Paid Time Off Plan that we all actually use

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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CEO of Lambda
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Stephen Balaban
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Average salary estimate

$342500 / YEARLY (est.)
min
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$300000K
$385000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Principal Product Manager - MLOps Platform, Lambda

Lambda is on the lookout for an enthusiastic and experienced Principal Product Manager for our MLOps Platform, based in our lively San Francisco office. Since our inception in 2012, we've been committed to revolutionizing the AI computing landscape, and your role will be a central part of this journey. In this dynamic position, you’ll take the lead on shaping the strategy and roadmap for our MLOps Platform. Your main objective? To smooth out the bumps and hurdles that ML teams frequently encounter as they develop, deploy, and maintain models. By understanding the nuances of real-world ML workflows and working closely with our talented engineers and researchers, you'll transform complex challenges into actionable plans. You’ll oversee revenue growth and customer satisfaction while staying ahead of industry trends and forging valuable partnerships within the AI ecosystem. With 10+ years of product management experience, including a solid 5 years working closely with ML model builders, you’ll bring a depth of knowledge to tackle various pivotal problems such as data pipelines and monitoring model drift. If you're passionate about the intersection of AI and product management and are ready to help craft the ultimate deep learning cloud, we invite you to join our collaborative team at Lambda. Let’s make computation as indispensable as electricity, together!

Frequently Asked Questions (FAQs) for Principal Product Manager - MLOps Platform Role at Lambda
What responsibilities does the Principal Product Manager at Lambda engage in?

As the Principal Product Manager at Lambda, you will lead the MLOps Platform from strategy formulation through to implementation and launch. Your responsibilities will include owning the roadmap for the platform, ensuring revenue growth and customer satisfaction, and driving execution across various teams including engineering and sales. By addressing real-world challenges faced by ML teams, you'll help eliminate friction in model development and deployment, making a significant impact on the organization's success.

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What qualifications are necessary for the Principal Product Manager position at Lambda?

To excel as a Principal Product Manager at Lambda, you should have over 10 years of product management experience and at least 5 years of direct involvement with ML model builders. A strong technical foundation in computer science, engineering, or mathematics is essential. You also need to demonstrate a track record of leading new products from conception to commercial success and showcasing a comprehensive understanding of the operational challenges ML teams face.

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How does the MLOps Platform at Lambda enhance the machine learning workflow?

The MLOps Platform at Lambda is designed to streamline the machine learning workflow by addressing barriers that ML teams encounter. This involves refining data pipelines, ensuring reproducibility of experiments, simplifying the deployment process, and implementing robust monitoring systems to manage model drift. As the Principal Product Manager, you'll be instrumental in optimizing these processes to enable teams to operationalize machine learning efficiently.

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What traits are essential for success in the Principal Product Manager role at Lambda?

Success in the Principal Product Manager position at Lambda requires an ability to move quickly, make decisive trade-offs, and inspire teams. You'll thrive if you can navigate through ambiguity and constraints while aligning different stakeholders towards a common goal. The role is demanding but rewarding, making it crucial for you to be energized and focused on outcomes while fostering collaboration.

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What is the expected salary range for the Principal Product Manager at Lambda?

The Principal Product Manager position at Lambda offers an attractive annual salary range of $300,000 to $385,000, depending on experience and qualifications. Lambda values its employees and offers generous cash and equity compensation packages, along with a comprehensive benefits program that includes health coverage, a 401k plan, and flexible paid time off.

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Common Interview Questions for Principal Product Manager - MLOps Platform
Can you describe a challenging product you managed and how you brought it to success?

When answering this question, focus on a specific product management experience where you encountered significant challenges. Highlight your strategic approach, the steps you took to overcome those hurdles, your collaboration with technical teams, and how you measured success. Show your problem-solving skills and ability to adapt under pressure.

Join Rise to see the full answer
How do you prioritize features when developing a product roadmap?

To tackle this question, outline your approach for evaluating user needs, market demands, and technical feasibility. Discuss frameworks you use for prioritization, such as RICE (Reach, Impact, Confidence, Effort) or MoSCoW (Must have, Should have, Could have, Won't have). This demonstrates your systematic approach to product management and ensuring alignment with key objectives.

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What experience do you have with machine learning workflows and MLOps?

Share any past experiences where you've supported ML teams, managed product initiatives related to MLOps, or contributed to the development of ML frameworks. Highlight your understanding of key challenges in the field and how your solutions improved the workflow. It's your opportunity to showcase your domain knowledge and hands-on experience.

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How do you effectively communicate with cross-functional teams, especially engineers?

Emphasize the importance of clarity and collaboration. Share specific instances where your communication skills led to enhanced team alignment or project success. Highlight your ability to translate complex technical concepts into simpler terms and vice versa, showing you can bridge the gap between teams.

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How do you keep up with trends in AI and MLOps?

Discuss your strategies for continuous learning, including attending conferences, following industry leaders, subscribing to relevant journals, or participating in online courses. Mention how staying informed influences your product management decisions and helps you to identify new opportunities for innovation.

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What metrics do you consider critical for measuring the success of an MLOps platform?

When discussing performance metrics, think about user engagement, model latency, error rate, deployment frequency, and customer satisfaction scores. Explain why these metrics matter and how you would track them to continually iterate and improve the MLOps platform at Lambda.

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Can you give an example of a successful product launch you've overseen?

Choose a well-documented product launch and describe the pre-launch activities, marketing strategies, team dynamics, and the post-launch analysis you undertook. Highlight how you measured success against goals and how customer feedback influenced future improvements.

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How do you handle competing priorities within a product team?

Showcase your conflict resolution skills. Discuss your method for evaluating the impact of competing priorities on overall product goals and how you facilitate conversations to find alignment. This illustrates your capability in fostering teamwork and maintaining productivity through challenges.

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What role does user feedback play in your product management process?

Explain how you incorporate user feedback at every stage, from ideation to post-launch. Describe specific tools or methods you use to gather this feedback and how it's fed back into the product development cycle, showcasing your commitment to user-centered design.

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What strategies do you employ to ensure the successful adoption of a new product?

Discuss strategies such as training sessions, workshops, targeted marketing, and creating informational resources to facilitate adoption. Highlight the importance of collaboration with sales and customer success teams to ensure users can leverage the product effectively.

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Lambda provides Artificial Intelligence and Machine Learning infrastructure to companies like Apple, Intel, Microsoft, MIT, Harvard, the Federal Government, and the DOD. Were headquartered in the Dogpatch and are a short walk from the 22nd Street ...

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DATE POSTED
March 19, 2025

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