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Remote Programmatic Jobs in California (NOW HIRING)

Recruitics

Paid Social Media Manager

Lafayette, CA · Remote

... programmatic media buys (programmatic display, digital-out-of-home (DOOH), digital audio or ... Comprehensive health, dental, and vision insurance * #AnywhereAugust - We support remote work ...

Revive Media

Senior Product Manager, Ad Tech

Los Angeles, CA · Remote

$136K - $179K/yr

We are a small, remote-first team of high-performing professionals with diverse backgrounds located ... Experience with ad tech fundamentals, particularly audience targeting, programmatic inventory ...

Revive Media

Senior Product Manager, Ad Tech

Los Angeles, CA · Remote

$136K - $179K/yr

We are a small, remote-first team of high-performing professionals with diverse backgrounds located ... Experience with ad tech fundamentals, particularly audience targeting, programmatic inventory ...

New

Revive Media

Senior Product Manager, Ad Tech

Los Angeles, CA · On-site +1

$136K - $179K/yr

We are a small, remote-first team of high-performing professionals with diverse backgrounds located ... Experience with ad tech fundamentals, particularly audience targeting, programmatic inventory ...

Recruitics UK

Paid Social Media Manager

Lafayette, CA · Remote

... programmatic media buys (programmatic display, digital-out-of-home (DOOH), digital audio or ... Comprehensive health, dental, and vision insurance * #AnywhereAugust - We support remote work ...

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Remote Programmatic information

See California salary details

$46.4K

$80.3K

$181.1K

How much do remote programmatic jobs pay per year?

As of Aug 1, 2026, the average yearly pay for remote programmatic in California is $80,302.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $87,800.00 per year, depending on experience, location, and employer.

What is a Remote Programmatic job?

A Remote Programmatic job involves managing automated digital advertising campaigns from a remote location. This role typically includes optimizing bids, analyzing data, and using platforms like Google DV360 or The Trade Desk to maximize ad performance. Professionals in this field ensure targeted ads reach the right audience efficiently. They often collaborate with marketing teams, data analysts, and ad tech providers. Strong analytical skills and knowledge of demand-side platforms (DSPs) are essential for success.

What are the key skills and qualifications needed to thrive in the Remote Programmatic position, and why are they important?

To thrive as a Remote Programmatic professional, you need a strong understanding of digital advertising, real-time bidding, and data analysis, generally supported by experience in online marketing or advertising technology. Familiarity with demand side platforms (DSPs), ad servers, analytics tools like Google Analytics, and programmatic certification courses such as IAB Digital Media Buying & Planning are commonly required. Excellent communication, attention to detail, analytical thinking, and time management skills help individuals excel in this role. These qualifications and soft skills are essential for optimizing digital campaigns, managing multiple projects remotely, and delivering measurable results for clients or employers.

What are some common challenges faced by Remote Programmatic professionals, and how can they be addressed?

Remote Programmatic professionals often face challenges such as staying updated with rapidly evolving ad technologies, troubleshooting campaign performance issues, and communicating effectively with distributed teams. To address these, it's important to dedicate time for ongoing industry training, participate in regular team meetings, and leverage collaboration tools like Slack or project management platforms. Being proactive about learning and communication can help you swiftly adapt to new trends and resolve issues efficiently. Many companies also offer mentorship, webinars, and continuous education resources to support their remote programmatic teams.

What are the most commonly searched types of Programmatic jobs in California? The most popular types of Programmatic jobs in California are:
What are popular job titles related to Remote Programmatic jobs in California? For Remote Programmatic jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Programmatic jobs in California look for? The top searched job categories for Remote Programmatic jobs in California are:
What cities in California are hiring for Remote Programmatic jobs? Cities in California with the most Remote Programmatic job openings:
Remote Programmatic jobs near you
Infographic showing various Remote Programmatic job openings in California as of July 2026, with employment types broken down into 75% Full Time, 14% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $80,302 per year, or $38.6 per hour.

Sr. Engineering Manager, Programmatic Ad Tech, tvScientific

Pinterest

San Francisco, CA • Remote

Other

Re-posted yesterday

Job description

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

The Ad Server team is seeking a technical leader to oversee tvScientific's emerging ad server stack and help drive the ad server independence initiative. This role will be responsible for leading key architectural decisions across core components and integration interfaces, while coordinating the subteams responsible for bidder infrastructure, index building, and VAST serving, initially through dotted-line leadership and over time through direct management of a growing multidisciplinary team.

What you'll do: 

  • Lead and make key architectural decisions across the tvScientific ad server tech stack and its major integration points.
  • Take technical ownership of the ad server independence roadmap, including developing a clear understanding of the current state of initiatives, ownership across subcomponents, and resourcing needs.
  • Oversee and organize the subteams supporting the initiative, including bidder, index building, and VAST serving.
  • Serve as the technical DRI for bidder integration work with Pinterest, partnering closely on milestone sequencing, delivery planning, and execution.
  • Identify and drive opportunities for shared components and common infrastructure with Pinterest where it makes strategic and technical sense.
  • Participate in key strategic technical roadmap and architecture decisions for the Ad Server team.
  • Help scale the team over time, including supporting the growth of a multidisciplinary engineering organization.

What we're looking for:

  • Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience.
  • 9+ years of software engineering experience, including 5+ years of ad industry experience with 3+ years deep in programmatic ad tech.
  • 5+ years of engineering management experience.
  • A history of designing scalable, resilient, and observable production systems.
  • Demonstrated ability to build and operate high volume, data-intensive services.
  • Experience working with ML in low-latency environments.
  • Strong data literacy and the ability to use data to inform technical and strategic decisions.
  • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.
  • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).
  • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.


Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement: 

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

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