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Programmatic Advertising Remote Jobs in California

tvScientific

Software Engineer II, Backend

San Francisco, CA · On-site +1

$123K - $254K/yr

Our platform is built by industry leaders with a long history in programmatic advertising, digital ... Visit our PinFlex page to learn more about our working model. #LI-SM4 #LI-REMOTE At Pinterest we ...

Pinterest

Sr. Data Scientist, tvScientific

San Francisco, CA · On-site +1

$139K - $287K/yr

Our platform is built by industry leaders with a long history in programmatic advertising, digital ... Visit our PinFlex page to learn more about our working model. #LI-SM4 #LI-REMOTE At Pinterest we ...

Directive

Understand the value of Programmatic campaigns * Drive cross-sells, upsells and referrals via ... Execute and optimize advertising campaigns within LinkedIn including ad copywriting, TAM ...

Directive

Understand the value of Programmatic campaigns * Drive cross-sells, upsells and referrals via ... Execute and optimize advertising campaigns within LinkedIn including ad copywriting, TAM ...

Illumin

Sales Director, AdTech

Daly City, CA · On-site +1

Who we are At illumin, we are transforming the advertising landscape. Our platform offers an ... Please note that this is a remote opportunity selling into clients within the west coast. This job ...

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All JobsProgrammatic Advertising JobsProgrammatic Advertising Remote JobsProgrammatic Advertising Remote Jobs in California

Programmatic Advertising Remote information

What are the key skills and qualifications needed to thrive as a Programmatic Advertising Specialist in a remote role, and why are they important?

To excel as a Programmatic Advertising Specialist in a remote setting, you need a strong grasp of digital marketing concepts, data analysis, and experience with programmatic ad buying, often backed by a relevant degree or certifications such as Google Display & Video 360. Familiarity with demand-side platforms (DSPs), ad servers, analytics tools, and industry certifications is typically required. Exceptional communication, proactive problem-solving, and self-management skills help you collaborate effectively with distributed teams and clients. These competencies ensure campaigns are optimized, goals are met efficiently, and clients receive high ROI in the fast-evolving digital advertising landscape.

What is the difference between Programmatic Advertising Remote vs Programmatic Media Buyer?

AspectProgrammatic Advertising RemoteProgrammatic Media Buyer
CredentialsExperience with ad platforms, certifications like IAB or Google AdsSimilar certifications, often required to operate ad platforms
Work EnvironmentRemote, digital workspace, collaborative toolsRemote or in-office, client-facing or agency setting
Industry UsageUsed across digital marketing agencies, brands, ad tech firmsCommonly employed in media agencies, brands, and ad tech companies

Programmatic Advertising Remote and Programmatic Media Buyer roles share similar credentials and work environments, often involving digital platforms and certifications. While Programmatic Advertising Remote emphasizes a remote, flexible setup, Programmatic Media Buyers focus on executing ad campaigns across various platforms. Both roles are integral to digital marketing and frequently overlap in skills and industry usage.

What are some common challenges faced by remote professionals in programmatic advertising, and how can they be managed?

Remote professionals in programmatic advertising often face challenges such as coordinating with cross-functional teams across time zones, staying updated with rapidly evolving ad technologies, and maintaining clear communication with clients and partners. To manage these challenges, it's helpful to establish regular check-ins, use collaborative project management tools, and proactively share updates and insights with team members. Additionally, dedicating time for continuous learning and staying engaged with industry trends is crucial for success in a remote environment.

What is programmatic advertising in a remote job context?

Programmatic advertising refers to the automated buying and selling of digital advertising space using software and data-driven strategies. In a remote job context, professionals manage campaigns, analyze data, and optimize ad performance from anywhere, collaborating with teams and clients virtually. This role typically requires proficiency with programmatic platforms, understanding of digital marketing, and strong communication skills to coordinate across time zones. Remote programmatic advertising jobs offer flexibility while leveraging technology to streamline ad delivery and maximize ROI for clients.
What are the most commonly searched types of Programmatic Advertising jobs in California? The most popular types of Programmatic Advertising jobs in California are:
What are popular job titles related to Programmatic Advertising Remote jobs in California? For Programmatic Advertising Remote jobs in California, the most frequently searched job titles are:
What job categories do people searching Programmatic Advertising Remote jobs in California look for? The top searched job categories for Programmatic Advertising Remote jobs in California are:
What cities in California are hiring for Programmatic Advertising Remote jobs? Cities in California with the most Programmatic Advertising Remote job openings:
Programmatic Advertising Remote jobs near you
Software Engineer II, Big Data

Software Engineer II, Big Data

tvScientific

San Francisco, CA • On-site, Remote

$123K - $254K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

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.
As a Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to evolve our core data pipelines, design for efficiency as we scale, and store data in optimal engines and formats. This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization.
What you'll do:
  • Design and implement robust data infrastructure in AWS, using Spark with Scala
  • Evolve our core data pipelines to efficiently scale for our massive growth
  • Store data in optimal engines and formats, matching your designs to our performance needs and cost factors
  • Collaborate with our cross-functional teams to design data solutions that meet business needs
  • Design and implement knowledge graphs, exposing their functionality both via Batch Processing and APIs
  • Leverage and optimize AWS resources while designing for scale
  • Collaborate closely with our Data Science and Product teams
  • How we'll define success:
    • Successful design and implementation of scalable and efficient data infrastructure
    • Timely delivery and optimization of data assets and APIs
    • High attention to detail in implementation of automated data quality checks
    • Effective collaboration with cross-functional teams

What we're looking for:
  • Production data engineering experience
  • Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala is preferred
  • Experience in delivering significant technical initiatives and building reliable, large scale services
  • Experience in delivering APIs backed by relationship-heavy datasets
  • Familiarity with data lakes, cloud warehouses, and storage formats
  • Strong proficiency in AWS services
  • Expertise in SQL for data manipulation and extraction
  • Excellent written and verbal communication skills
  • Bachelor's degree in Computer Science or a related field
  • 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
  • Nice-to-haves:
    • Experience in adtech
    • Experience implementing data governance practices, including data quality, metadata management, and access controls
    • Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
    • Familiarity with data table formats like Apache Iceberg, Delta
    • Previous experience building out a Data Engineering function
    • Proven experience working closely with Data Science teams on machine learning pipelines

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.

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

#LI-SM4
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$123,696-$254,667 USD

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