PubMatic, Inc.
Senior Principal Software Engineer, Mobile App Monetization
PubMatic, Inc., Redwood City, California, United States, 94061
Senior Principal Software Engineer, Mobile App Monetization
About the Role: PubMatic is seeking an experienced and technically driven
Principal Software Engineer
to lead the design and development of our next-generation
mobile app monetization platform
. This role is focused on building high-performance, scalable, real-time systems that drive programmatic monetization across various mobile ad formats, including
banners
,
interstitials
,
rewarded video
, and
native ads
. The ideal candidate is a seasoned backend engineer with deep domain expertise in
mobile app advertising
,
OpenRTB protocols
, and
SDK-DSP-SSP integration workflows
. You will work closely with Product, Data Science, and Monetization teams to design
ML-integrated systems
that optimize yield, latency, and reliability across our mobile ecosystem. What You'll Do: Architect and implement scalable APIs and backend services powering mobile app monetization, including SDK-driven request handling, real-time targeting, ML-based decisioning, and campaign selection logic. Develop
low-latency, high-throughput server-side systems
capable of handling billions of RTB bid requests daily. Collaborate with ML Engineering and Data Science teams to integrate models for
yield optimization
and
performance enhancement
. Design and support
A/B testing and experimentation frameworks
to evaluate monetization strategies across diverse ad traffic. Contribute to the long-term
technical strategy
and roadmap for the mobile monetization platform. Champion engineering best practices in
observability
,
fault tolerance
,
API performance
, and
modular architecture
. Who You Are: 8+ years of backend engineering experience
, with a proven track record of building
high-scale, low-latency systems
, preferably in the
mobile app advertising
or programmatic AdTech domain. Strong programming expertise in
C++
, with additional experience in
Go
or
Java
. Solid understanding of
Linux/UNIX environments
and system-level programming (multi-threading, multi-processing, memory management). Proficient in
data structures, algorithms
, and core
computer science principles
, with experience designing
modular, scalable, and fault-tolerant systems
. Deep understanding of
programmatic advertising workflows
, including
RTB
,
OpenRTB 2.x/2.6
,
bid lifecycle
, and
mobile SDK monetization
. Experience integrating with
DSPs, ad exchanges, mediation platforms
, and working with
SDK-DSP-SSP pipelines
, including
device graph utilization
and
session-aware ad serving
. Familiarity with
rewarded video
,
native ad formats
,
in-app gaming monetization
, and
mobile-specific privacy regulations
(e.g.,
ATT
,
COPPA
). Hands-on experience with
real-time ML inference pipelines
, working closely with ML engineers and integrating model predictions into latency-sensitive systems. Practical knowledge of
containerized and microservice architectures
, with experience in
API integrations
,
caching solutions
,
data stores
, and
cloud-native deployments
. Skilled in
troubleshooting production issues
, performing root cause analysis, and supporting live systems with minimal downtime. Ability to write
clean, modular, loosely coupled code
and develop systems with strong observability and monitoring. Exposure to
generative AI tools
and familiarity with
prompt engineering
and
AI-powered developer environments
. Working knowledge of scripting languages such as
Python
,
Shell
, or
Perl
, and hands-on experience with relational databases, preferably
MySQL
. Excellent interpersonal, written, and verbal communication skills with a collaborative mindset and strong ownership over deliverables. Proficiency in AI-assisted coding, automation, prompt engineering, and an understanding of the strengths and limitations of LLM-generated code is a strong plus. Bonus Qualifications: Hands-on experience with mobile monetization SDKs
, including client-server interaction and mediation logic. Contributions to open-source AdTech projects
, such as Prebid Mobile, RTBkit, or header bidding libraries. Familiarity with industry-standard ML model serving infrastructures designed for real-time inferencing. Understanding of
mobile-specific user acquisition and attribution platforms
. Experience working with
incrementality measurement
,
retargeting systems
, or
audience segmentation
for mobile performance marketing. Exposure to
privacy-preserving user ID solutions
(e.g., UID2.0, RampID) and frameworks like
SKAdNetwork
(for iOS post-ATT monetization). Experience with
cross-format monetization strategies
, such as combining display, video, and native monetization within the same app session. Familiarity with
real-time analytics
pipelines used to measure monetization KPIs and yield efficiency. Publications, patents, or speaking engagements in the areas of mobile monetization, AdTech infrastructure, or ML for AdTech 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. #LI-HYBRID Compensation Disclosure In accordance with applicable law, the below salary rang e 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, skill s and abilities. In addition to salary PubMatic also offers a bonus, restricted stock units, and a competitive benefits package.
#J-18808-Ljbffr
About the Role: PubMatic is seeking an experienced and technically driven
Principal Software Engineer
to lead the design and development of our next-generation
mobile app monetization platform
. This role is focused on building high-performance, scalable, real-time systems that drive programmatic monetization across various mobile ad formats, including
banners
,
interstitials
,
rewarded video
, and
native ads
. The ideal candidate is a seasoned backend engineer with deep domain expertise in
mobile app advertising
,
OpenRTB protocols
, and
SDK-DSP-SSP integration workflows
. You will work closely with Product, Data Science, and Monetization teams to design
ML-integrated systems
that optimize yield, latency, and reliability across our mobile ecosystem. What You'll Do: Architect and implement scalable APIs and backend services powering mobile app monetization, including SDK-driven request handling, real-time targeting, ML-based decisioning, and campaign selection logic. Develop
low-latency, high-throughput server-side systems
capable of handling billions of RTB bid requests daily. Collaborate with ML Engineering and Data Science teams to integrate models for
yield optimization
and
performance enhancement
. Design and support
A/B testing and experimentation frameworks
to evaluate monetization strategies across diverse ad traffic. Contribute to the long-term
technical strategy
and roadmap for the mobile monetization platform. Champion engineering best practices in
observability
,
fault tolerance
,
API performance
, and
modular architecture
. Who You Are: 8+ years of backend engineering experience
, with a proven track record of building
high-scale, low-latency systems
, preferably in the
mobile app advertising
or programmatic AdTech domain. Strong programming expertise in
C++
, with additional experience in
Go
or
Java
. Solid understanding of
Linux/UNIX environments
and system-level programming (multi-threading, multi-processing, memory management). Proficient in
data structures, algorithms
, and core
computer science principles
, with experience designing
modular, scalable, and fault-tolerant systems
. Deep understanding of
programmatic advertising workflows
, including
RTB
,
OpenRTB 2.x/2.6
,
bid lifecycle
, and
mobile SDK monetization
. Experience integrating with
DSPs, ad exchanges, mediation platforms
, and working with
SDK-DSP-SSP pipelines
, including
device graph utilization
and
session-aware ad serving
. Familiarity with
rewarded video
,
native ad formats
,
in-app gaming monetization
, and
mobile-specific privacy regulations
(e.g.,
ATT
,
COPPA
). Hands-on experience with
real-time ML inference pipelines
, working closely with ML engineers and integrating model predictions into latency-sensitive systems. Practical knowledge of
containerized and microservice architectures
, with experience in
API integrations
,
caching solutions
,
data stores
, and
cloud-native deployments
. Skilled in
troubleshooting production issues
, performing root cause analysis, and supporting live systems with minimal downtime. Ability to write
clean, modular, loosely coupled code
and develop systems with strong observability and monitoring. Exposure to
generative AI tools
and familiarity with
prompt engineering
and
AI-powered developer environments
. Working knowledge of scripting languages such as
Python
,
Shell
, or
Perl
, and hands-on experience with relational databases, preferably
MySQL
. Excellent interpersonal, written, and verbal communication skills with a collaborative mindset and strong ownership over deliverables. Proficiency in AI-assisted coding, automation, prompt engineering, and an understanding of the strengths and limitations of LLM-generated code is a strong plus. Bonus Qualifications: Hands-on experience with mobile monetization SDKs
, including client-server interaction and mediation logic. Contributions to open-source AdTech projects
, such as Prebid Mobile, RTBkit, or header bidding libraries. Familiarity with industry-standard ML model serving infrastructures designed for real-time inferencing. Understanding of
mobile-specific user acquisition and attribution platforms
. Experience working with
incrementality measurement
,
retargeting systems
, or
audience segmentation
for mobile performance marketing. Exposure to
privacy-preserving user ID solutions
(e.g., UID2.0, RampID) and frameworks like
SKAdNetwork
(for iOS post-ATT monetization). Experience with
cross-format monetization strategies
, such as combining display, video, and native monetization within the same app session. Familiarity with
real-time analytics
pipelines used to measure monetization KPIs and yield efficiency. Publications, patents, or speaking engagements in the areas of mobile monetization, AdTech infrastructure, or ML for AdTech 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. #LI-HYBRID Compensation Disclosure In accordance with applicable law, the below salary rang e 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, skill s and abilities. In addition to salary PubMatic also offers a bonus, restricted stock units, and a competitive benefits package.
#J-18808-Ljbffr