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Adtech Engineer Jobs in Pittsburgh, PA (NOW HIRING)

Adtech Engineer information

See Pittsburgh, PA salary details

$30.1K

$93K

$123.8K

How much do adtech engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for adtech engineer in Pittsburgh, PA is $93,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,600.00 and $112,600.00 per year, depending on experience, location, and employer.

What is an adtech engineer?

Adtech Engineers are technology professionals who design, develop, and maintain software systems used in the digital advertising industry. They work on platforms that enable the buying, selling, targeting, and analysis of online ads, such as ad servers, real-time bidding systems, and data management platforms. Their role often involves integrating advertising technologies, optimizing ad delivery, and ensuring compliance with privacy regulations. Adtech Engineers collaborate with product managers, data scientists, and marketers to deliver effective advertising solutions.

What are some common challenges an adtech engineer faces when integrating new advertising technologies with existing platforms?

Adtech Engineers often encounter challenges when integrating new advertising technologies, such as ensuring compatibility with legacy systems, maintaining data privacy compliance, and minimizing disruption to current ad delivery pipelines. Balancing rapid implementation with thorough testing can be complex, especially given the fast-paced evolution of ad tech standards and third-party tools. Successful engineers proactively collaborate with product managers, data teams, and external vendors to troubleshoot issues and develop scalable solutions that support the organization's advertising objectives.

What are the key skills and qualifications needed to thrive as an adtech engineer, and why are they important?

To thrive as an Adtech Engineer, you need a solid background in computer science, programming (especially JavaScript, Python, or Java), and a clear understanding of digital advertising technologies and protocols. Familiarity with ad servers, programmatic platforms (like Google Ad Manager or The Trade Desk), SDKs, APIs, and industry certifications such as IAB Digital Ad Operations are highly valued. Strong problem-solving, communication, and collaboration skills help you navigate complex integrations and work effectively with product, sales, and analytics teams. These skills are essential to optimize ad delivery, ensure technical compliance, and drive successful advertising outcomes in a rapidly evolving ecosystem.

What is the difference between Adtech Engineer vs Data Engineer?

AspectAdtech EngineerData Engineer
CredentialsBachelor's in Computer Science, relevant certifications in ad tech or digital marketingBachelor's in Computer Science, certifications in data management or cloud platforms
Work EnvironmentDigital advertising agencies, ad tech companies, marketing teamsData-driven companies, tech firms, analytics teams
Industry UsageUsed in digital advertising, programmatic ad platforms, marketing techUsed in data infrastructure, big data processing, analytics pipelines

Adtech Engineers focus on developing and maintaining advertising technology platforms, while Data Engineers build and manage data pipelines and infrastructure. Both roles require technical skills but serve different functions within digital marketing and data management environments.

What are popular job titles related to Adtech Engineer jobs in Pittsburgh, PA?

For Adtech Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Adtech Engineer jobs in Pittsburgh, PA look for?

The top searched job categories for Adtech Engineer jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Adtech Engineer jobs?

Cities near Pittsburgh, PA with the most Adtech Engineer job openings:

Infographic showing various Adtech Engineer job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% In-person job distribution, with an average salary of $93,000 per year, or $44.7 per hour.

Product Manager, Audience Extension Network - Innovation_Delivery_Transformation

Pittsburgh, PA • On-site


Deloitte
Finance and Insurance • 10K+ employees

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services

Good employer

Recommended by students

Paid breaks


Full-time

Posted 4 days ago


Job description

The Team

ConvergeSPORTS is a product-driven business combining Deloitte's sports industry experience with proprietary data, AI-native decision intelligence, and reusable Converge capabilities. We help sports organizations grow revenue, deepen fan engagement, optimize partnerships, and improve commercial performance while operating with the focus of a product company.

Audience Extension Network is the monetization layer that helps teams and leagues reach fans beyond the arena by combining first-party fan data, partner inventory, and premium publisher reach. The product sits at the intersection of sports media, retail media, adtech, sponsorship, and data-driven audience activation.

Position Summary

ConvergeSPORTS is seeking a commercially minded Product Manager to build and scale Audience Extension Network, the platform that helps sports organizations extend their first-party fan data into premium, addressable reach beyond the arena. In this role, you will shape the product vision, translate rich fan and campaign data into compelling commercial narratives, and partner closely with product, engineering, data science, and sales to bring the offering to market. This is an opportunity to sit at the intersection of sports media, retail media, and adtech and turn audience insight into repeatable revenue for some of the biggest names in sports.

Recruiting for this role ends on 09/26/26.

Work you'll do

As the Product Manager for Audience Extension Network, you will own the product thinking behind the offering and turn it into a repeatable commercial engine - connecting the data spine, market needs, and go-to-market strategy so the business can monetize fandom more effectively.

  • Define and maintain the product roadmap for Audience Extension Network across audience curation, measurement, targeting, activation, and monetization.
  • Translate large fan, media, campaign, and partner data sets into insights, narratives, and opportunity sizing that support commercial decisions.
  • Partner with sales, marketing, design, engineering, data science, and external partners to shape requirements and prioritize product investments.
  • Support pitches, demos, executive presentations, and client workshops with clear product storytelling and strong commercial framing.
  • Build product collateral such as one-pagers, pitch decks, case studies, demo scripts, and market-facing narratives.
  • Track market, competitor, and category movement across retail media, sports media, sponsorship, and adtech and use those signals to inform roadmap choices.
  • Use feedback from clients, sponsors, publishers, and internal sellers to refine the product experience and improve commercial traction.
  • Help shape pricing, packaging, and commercialization plans so the product can be sold consistently and credibly.
  • Own backlog prioritization and product decisions in partnership with delivery teams so the product can move from concept to repeatable execution.
  • Contribute to where we show up in market by supporting marketing, networking, conferences, and broader brand-building activities.

The successful candidate would possess these skills:

  • Commercially minded, with the confidence to pitch, sell, and negotiate in front of clients, sponsors, and internal stakeholders.
  • Skilled at translating dense, data-rich findings into clear narratives that connect analytics to revenue and product decisions.
  • Comfortable operating at the intersection of product, sales, and delivery, and able to align technical and commercial priorities.
  • Entrepreneurial and resourceful, with a bias toward building repeatable, sellable product motions rather than one-off solutions.
  • Strong storyteller who can flex between executive audiences, technical teams, and external partners with equal credibility.

Qualifications

Required:

  • Bachelor's degree or equivalent experience.
  • 5+ years of experience in product management, product strategy, product marketing, commercial strategy, media, consulting, adtech, or adjacent digital businesses.
  • Experience working with large data sets, analytics outputs, or dashboards and translating them into executive-ready narratives or product decisions.
  • Experience supporting pitches, selling, commercial conversations, or client workshops.
  • Strong understanding of retail media, audience monetization, or digital media economics.
  • Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Experience in sports media, sponsorship, audience activation, retail media, or adtech.
  • Experience with Excel, PowerPoint, Tableau, SQL, or similar tools for insight generation and executive storytelling.
  • Experience building product narratives, case studies, pricing materials, or sales enablement content.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $141,200-$278,300.

Qualifications:

The Team

ConvergeSPORTS is a product-driven business combining Deloitte's sports industry experience with proprietary data, AI-native decision intelligence, and reusable Converge capabilities. We help sports organizations grow revenue, deepen fan engagement, optimize partnerships, and improve commercial performance while operating with the focus of a product company.

Audience Extension Network is the monetization layer that helps teams and leagues reach fans beyond the arena by combining first-party fan data, partner inventory, and premium publisher reach. The product sits at the intersection of sports media, retail media, adtech, sponsorship, and data-driven audience activation.

Position Summary

ConvergeSPORTS is seeking a commercially minded Product Manager to build and scale Audience Extension Network, the platform that helps sports organizations extend their first-party fan data into premium, addressable reach beyond the arena. In this role, you will shape the product vision, translate rich fan and campaign data into compelling commercial narratives, and partner closely with product, engineering, data science, and sales to bring the offering to market. This is an opportunity to sit at the intersection of sports media, retail media, and adtech and turn audience insight into repeatable revenue for some of the biggest names in sports.

Recruiting for this role ends on 09/26/26.

Work you'll do

As the Product Manager for Audience Extension Network, you will own the product thinking behind the offering and turn it into a repeatable commercial engine - connecting the data spine, market needs, and go-to-market strategy so the business can monetize fandom more effectively.

  • Define and maintain the product roadmap for Audience Extension Network across audience curation, measurement, targeting, activation, and monetization.
  • Translate large fan, media, campaign, and partner data sets into insights, narratives, and opportunity sizing that support commercial decisions.
  • Partner with sales, marketing, design, engineering, data science, and external partners to shape requirements and prioritize product investments.
  • Support pitches, demos, executive presentations, and client workshops with clear product storytelling and strong commercial framing.
  • Build product collateral such as one-pagers, pitch decks, case studies, demo scripts, and market-facing narratives.
  • Track market, competitor, and category movement across retail media, sports media, sponsorship, and adtech and use those signals to inform roadmap choices.
  • Use feedback from clients, sponsors, publishers, and internal sellers to refine the product experience and improve commercial traction.
  • Help shape pricing, packaging, and commercialization plans so the product can be sold consistently and credibly.
  • Own backlog prioritization and product decisions in partnership with delivery teams so the product can move from concept to repeatable execution.
  • Contribute to where we show up in market by supporting marketing, networking, conferences, and broader brand-building activities.

The successful candidate would possess these skills:

  • Commercially minded, with the confidence to pitch, sell, and negotiate in front of clients, sponsors, and internal stakeholders.
  • Skilled at translating dense, data-rich findings into clear narratives that connect analytics to revenue and product decisions.
  • Comfortable operating at the intersection of product, sales, and delivery, and able to align technical and commercial priorities.
  • Entrepreneurial and resourceful, with a bias toward building repeatable, sellable product motions rather than one-off solutions.
  • Strong storyteller who can flex between executive audiences, technical teams, and external partners with equal credibility.

Qualifications

Required:

  • Bachelor's degree or equivalent experience.
  • 5+ years of experience in product management, product strategy, product marketing, commercial strategy, media, consulting, adtech, or adjacent digital businesses.
  • Experience working with large data sets, analytics outputs, or dashboards and translating them into executive-ready narratives or product decisions.
  • Experience supporting pitches, selling, commercial conversations, or client workshops.
  • Strong understanding of retail media, audience monetization, or digital media economics.
  • Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Experience in sports media, sponsorship, audience activation, retail media, or adtech.
  • Experience with Excel, PowerPoint, Tableau, SQL, or similar tools for insight generation and executive storytelling.
  • Experience building product narratives, case studies, pricing materials, or sales enablement content.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $141,200-$278,300.

Education:Bachelor's DegreeEmployment Type:


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