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Remote Principal Buyer Jobs (NOW HIRING)

Findem

Principal Product Manager

San Francisco, CA · On-site +1

$200K - $210K/yr

Own the company's thesis for the market segment including the target buyer and customer personas ... Tier One Markets (SF, NYC, Seattle): $200,000 - $210,000 per year All Other Remote US: $190,000 ...

Homeward

Principal Integrated Marketer

$18.50/hr

... that give buyers and sellers certainty and convenience. We're a fast-paced, remote-first real ... We're looking for a Principal Integrated Marketer to help Homeward build trust and confidence with ...

New

Findem

Principal Product Manager

Mundelein, IL · Remote

$190K - $210K/yr

Own the company's thesis for the market segment including the target buyer and customer personas ... Tier One Markets (SF, NYC, Seattle): $200,000 - $210,000 per year All Other Remote US: $190,000 ...

Findem

Principal Product Manager

OR · Remote

$190K - $210K/yr

Own the company's thesis for the market segment including the target buyer and customer personas ... Tier One Markets (SF, NYC, Seattle): $200,000 - $210,000 per year All Other Remote US: $190,000 ...

Findem

Principal Product Manager

San Francisco, CA · On-site +1

$200K - $210K/yr

Own the company's thesis for the market segment including the target buyer and customer personas ... Tier One Markets (SF, NYC, Seattle): $200,000 - $210,000 per year All Other Remote US: $190,000 ...

Findem

Principal Product Manager

San Francisco, CA · On-site +1

$200K - $210K/yr

Own the company's thesis for the market segment including the target buyer and customer personas ... Tier One Markets (SF, NYC, Seattle): $200,000 - $210,000 per year All Other Remote US: $190,000 ...

Findem

Principal Product Manager

OR · On-site +1

$200K - $210K/yr

Own the company's thesis for the market segment including the target buyer and customer personas ... Tier One Markets (SF, NYC, Seattle): $200,000 - $210,000 per year All Other Remote US: $190,000 ...

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All JobsPrincipal Buyer JobsRemote Principal Buyer Jobs

Remote Principal Buyer information

See salary details

$36.5K

$109.4K

$182K

How much do remote principal buyer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote principal buyer in the United States is $109,393.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,000.00 and $125,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Principal Buyer vs Remote Procurement Manager?

AspectRemote Principal BuyerRemote Procurement Manager
Required CredentialsPurchasing certifications, industry-specific knowledgeProcurement certifications, supply chain expertise
Work EnvironmentStrategic sourcing, supplier negotiationsOverseeing procurement processes, team management
Employer & Industry UsageManufacturing, retail, technologyCorporate, government, large enterprises
Search & Comparison IntentFocus on strategic purchasing rolesFocus on procurement operations management

The Remote Principal Buyer primarily focuses on strategic sourcing and supplier negotiations, often working independently to secure the best deals. In contrast, the Remote Procurement Manager oversees procurement processes and manages teams to ensure supply chain efficiency. Both roles require procurement-related credentials and are common in various industries, but they differ in scope and responsibilities.

More about Remote Principal Buyer jobs
What cities are hiring for Remote Principal Buyer jobs? Cities with the most Remote Principal Buyer job openings:
What are the most commonly searched types of Principal Buyer jobs? The most popular types of Principal Buyer jobs are:
What states have the most Remote Principal Buyer jobs? States with the most job openings for Remote Principal Buyer jobs include:
What job categories do people searching Remote Principal Buyer jobs look for? The top searched job categories for Remote Principal Buyer jobs are:
Remote Principal Buyer jobs near you
Infographic showing various Remote Principal Buyer job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $109,393 per year, or $52.6 per hour.

Senior Principal Machine Learning Engineer - Optimization

PubMatic

Redwood City, CA • On-site, Remote

$153K - $211K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 14 days ago

Job description

Role: Hybrid in Redwood City, CA. (Will consider Remote for the right candidate)
Must have: Experience building large-scale prediction or optimization systems
PubMatic is the leading AI-powered ad tech company delivering measurable advertising performance through an intelligent, unified platform that connects buyers, publishers, data partners, and commerce media across CTV, mobile app, and omnichannel environments.
About the Role:
We are looking for a Senior Principal Machine Learning Engineer to help build the next generation of performance optimization capabilities for PubMatic's Activate platform.
This role is focused on applying machine learning, prediction, ranking, calibration, experimentation, and optimization techniques to improve campaign outcomes across performance advertising goals such as CTR, VCR, CPC, CPA, and ROAS. The ideal candidate has strong ML fundamentals and experience building large-scale production models or optimization systems.
What You'll Do:
  • Build and improve machine learning models for campaign optimization, prediction, ranking, bidding, forecasting, and calibration.
  • Develop models and algorithms that improve advertiser outcomes while balancing spend delivery, cost efficiency, campaign goals, marketplace dynamics, and system constraints.
  • Work on large-scale ML systems using signals from auctions, impressions, clicks, video events, conversions, users, context, inventory, campaigns, and marketplace feedback.
  • Design and improve CTR, CVR, VCR, CPA, ROAS, app-install, user-value, and campaign-performance models.
  • Develop bidding, pacing-aware optimization, ranking, exploration, and value-estimation approaches for performance advertising.
  • Improve model calibration, online/offline evaluation, experimentation, observability, and production feedback loops.
  • Reason through sparse conversions, delayed feedback, biased logs, cold-start campaigns, attribution noise, and online/offline metric mismatch.
  • Partner with performance advertising signal engineers to define model-ready features, labels, attribution windows, negative examples, training datasets, and online serving requirements.
  • Partner with engineering, product, analytics, and platform teams to translate model outputs into real-time decisioning systems.
  • Help evolve Activate from a media buying execution platform into a performance optimization platform.
  • Provide technical leadership and mentorship to engineers and applied scientists working on performance optimization problems.
  • 10+ years of experience building production machine learning, ranking, recommendation, prediction, optimization, ads, marketplace, bidding, or pricing systems.
  • Strong understanding of supervised learning, ranking, calibration, causal thinking, experimentation, statistical evaluation, and model monitoring.
  • Experience building large-scale prediction or optimization systems in production.
  • Experience with CTR/CVR prediction, conversion modeling, bid optimization, value modeling, forecasting, calibration, or performance optimization.
  • Strong ability to reason about model quality, business impact, system constraints, production tradeoffs, and online performance.
  • Experience working with large-scale data and distributed ML workflows.
  • Strong engineering skills in Python, Java, SQL, Spark, TensorFlow, PyTorch, XGBoost, or similar technologies.
  • Ability to provide technical leadership across ambiguous, high-impact optimization problems.
  • BS, MS, or PhD in Computer Science, Machine Learning, Statistics, Mathematics, Engineering, or a related technical field.

Preferred Experience:
    • Experience in ads, search, recommendations, marketplaces, e-commerce, fintech, pricing, bidding, or real-time optimization systems.
    • Experience with performance advertising goals such as CTR, VCR, CPC, CPA, ROAS, app install, retargeting, or user-value optimization.
    • Familiarity with real-time bidding, programmatic advertising, ad serving, attribution, pacing, identity, incrementality, or performance advertising.
    • Experience with exploration/exploitation, counterfactual evaluation, uplift modeling, delayed-feedback modeling, or learning under biased logs.
    • Experience with model calibration, model observability, A/B testing, online experimentation, incrementality testing, or lift measurement.
    • Experience working cross-functionally with product, engineering, analytics, and business stakeholders.

We'd love for you to have:
  • 10+ years of experience building production machine learning, ranking, recommendation, prediction, optimization, ads, marketplace, bidding, or pricing systems.
  • Strong understanding of supervised learning, ranking, calibration, causal thinking, experimentation, statistical evaluation, and model monitoring.
  • Experience building large-scale prediction or optimization systems in production.
  • Experience with CTR/CVR prediction, conversion modeling, bid optimization, value modeling, forecasting, calibration, or performance optimization.
  • Strong ability to reason about model quality, business impact, system constraints, production tradeoffs, and online performance.
  • Experience working with large-scale data and distributed ML workflows.
  • Strong engineering skills in Python, Java, SQL, Spark, TensorFlow, PyTorch, XGBoost, or similar technologies.
  • Ability to provide technical leadership across ambiguous, high-impact optimization problems.
  • BS, MS, or PhD in Computer Science, Machine Learning, Statistics, Mathematics, Engineering, or a related technical field.

Additional Information
Return to Office: PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days "in office" and 2 days "working remotely") that is intended to maximize collaboration, innovation, and productivity among teams and across functions.
Benefits: Our benefits package includes the best of what leading organizations provide such as, paid leave programs, paid holidays, healthcare, dental and vision insurance, disability and life insurance, commuter benefits, physical and financial wellness programs, unlimited DTO in the US (that we actually require you to use!), reimbursement for mobile and fully stocked pantries plus in-office catered lunches 5 days per week.
Diversity and Inclusion: PubMatic is proud to be an equal opportunity employer; we don't just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status
About PubMatic
PubMatic is one of the world's leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes. Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.
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Compensation Disclosure
In accordance with applicable law, the below salary range provided is PubMatic's reasonable estimate of the total compensation for this role. New hires and current team members are typically compensated toward the middle of our pay range. The actual amount may vary, based on non-discriminatory factors such as location, experience, knowledge, skills and abilities. In addition to salary PubMatic also offers a bonus, restricted stock units, and a competitive benefits package.
Total Compensation Range
$260,000-$330,000 USD

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