For EmployersCoach ConnectReviewsAbout FairygodbossCareers @ FairygodbossPrivacy PolicyTerms & Conditions
Fairygodboss
CommunityJobsAdviceEventsReviewsFor EmployersCoach Connect
Sign inGet StartedGet started
CommunityJobsAdviceEvents
TikTok

Software Engineer, Pangle - SIA

May 18, 2026• San Jose

About us

TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

★ 4.5 out of 5 · 6 reviews

  • Size: 10,000+ employees
  • Industry: Technology: Consumer Internet
View company profile ›

Why you should apply for a job to TikTok:

  • 4.5/5 in overall job satisfaction
  • 4.5/5 in supportive management
  • 100% say women are treated fairly and equally to men
  • 100% would recommend this company to other women
  • 100% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Responsibilities

Pangle is the ad network of TikTok for Business, helping mobile developers accelerate growth, deliver engaging ad experiences, and maximize revenue by accessing TikTok's global advertising demand. Operating in more than 36 countries and regions, Pangle has built a strong reputation for driving measurable results for app partners worldwide.

The Pangle SIA (Signal, Identity, Attribution) team builds the foundational infrastructure that powers measurement, targeting, and optimization across TikTok for Business's global ads network ecosystem. As part of Pangle, TikTok's performance advertising network, we develop large-scale systems that enable advertisers and partners to better understand user engagement, campaign effectiveness, and cross-platform ad performance in a privacy-aware and reliable way.

Our team focuses on building highly scalable real-time and offline infrastructure for signal processing, identity resolution, attribution, conversion measurement, and ads data intelligence. We work on distributed systems and machine learning infrastructure that support critical advertising capabilities including ads delivery optimization, attribution accuracy, event processing, and performance analytics. Our platforms serve as core building blocks for advertisers, measurement partners, and internal ML systems across global business products.

As part of the team, you will:
- Design and build large-scale backend services for signal ingestion, identity matching, attribution, and ads measurement that directly power ads delivery and business growth.
- Develop scalable real-time and batch data pipelines that maximize the value of first-party and third-party signals across global advertising traffic.
- Build foundational data and ML infrastructure that supports audience systems, ads ranking, conversion optimization, and performance measurement.
- Apply both strong backend engineering and data-driven thinking to improve signal quality, system reliability, model effectiveness, and business outcomes.
- Leverage AI agents and LLM-powered automation to improve signal processing, data operations, optimization workflows, and engineering productivity across the Pangle ecosystem.

Qualifications

Minimum Qualifications:
- BS or MS degree in Computer Science, Engineering, or related technical field
- 2+ years of experience in software development (backend services) or infrastructure engineering
- Strong coding skills in one or more languages (e.g., Go, Python, C++, Java)
- Solid understanding of distributed systems, backend architectures, and data processing frameworks
- Ability to think critically, solve complex problems, and communicate effectively across teams
- Strong interest in adopting and leveraging AI technologies, including LLMs and AI agents, to accelerate software development, improve operational efficiency, and drive engineering innovation and productivity

Preferred Qualifications:
- Experience building or maintaining large-scale advertising infrastructure or similar high-throughput, low-latency systems.
- Excellent teamwork and communication skills, with a strong sense of ownership and the ability to move projects forward independently.
- Strong business and data intuition, passion for tackling complex problems, and proven ability in abstraction, project execution, and innovation.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $162000 - $316800 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

Responsibilities

Responsibilities

Pangle is the ad network of TikTok for Business, helping mobile developers accelerate growth, deliver engaging ad experiences, and maximize revenue by accessing TikTok's global advertising demand. Operating in more than 36 countries and regions, Pangle has built a strong reputation for driving measurable results for app partners worldwide.

The Pangle SIA (Signal, Identity, Attribution) team builds the foundational infrastructure that powers measurement, targeting, and optimization across TikTok for Business's global ads network ecosystem. As part of Pangle, TikTok's performance advertising network, we develop large-scale systems that enable advertisers and partners to better understand user engagement, campaign effectiveness, and cross-platform ad performance in a privacy-aware and reliable way.

Our team focuses on building highly scalable real-time and offline infrastructure for signal processing, identity resolution, attribution, conversion measurement, and ads data intelligence. We work on distributed systems and machine learning infrastructure that support critical advertising capabilities including ads delivery optimization, attribution accuracy, event processing, and performance analytics. Our platforms serve as core building blocks for advertisers, measurement partners, and internal ML systems across global business products.

As part of the team, you will:
- Design and build large-scale backend services for signal ingestion, identity matching, attribution, and ads measurement that directly power ads delivery and business growth.
- Develop scalable real-time and batch data pipelines that maximize the value of first-party and third-party signals across global advertising traffic.
- Build foundational data and ML infrastructure that supports audience systems, ads ranking, conversion optimization, and performance measurement.
- Apply both strong backend engineering and data-driven thinking to improve signal quality, system reliability, model effectiveness, and business outcomes.
- Leverage AI agents and LLM-powered automation to improve signal processing, data operations, optimization workflows, and engineering productivity across the Pangle ecosystem.

Qualifications

Qualifications

Minimum Qualifications:
- BS or MS degree in Computer Science, Engineering, or related technical field
- 2+ years of experience in software development (backend services) or infrastructure engineering
- Strong coding skills in one or more languages (e.g., Go, Python, C++, Java)
- Solid understanding of distributed systems, backend architectures, and data processing frameworks
- Ability to think critically, solve complex problems, and communicate effectively across teams
- Strong interest in adopting and leveraging AI technologies, including LLMs and AI agents, to accelerate software development, improve operational efficiency, and drive engineering innovation and productivity

Preferred Qualifications:
- Experience building or maintaining large-scale advertising infrastructure or similar high-throughput, low-latency systems.
- Excellent teamwork and communication skills, with a strong sense of ownership and the ability to move projects forward independently.
- Strong business and data intuition, passion for tackling complex problems, and proven ability in abstraction, project execution, and innovation.

Want more jobs like this?

Get jobs in San Jose delivered to your inbox when you sign up.

Additional Information

  • Salary: $162,000 – $316,800
  • Posted: May 18, 2026
Apply on company site
Apply on company site

Suggested Searches

  • TikTok Jobs
  • All Jobs

Search Additional Jobs

  • Remote-Friendly Software Engineer, Pangle - SIA Jobs
  • San Jose Jobs
Fairygodboss

Fairygodboss

  • Community Guidelines
  • Submissions & Editorial Guidelines
  • Privacy Policy
  • Terms & Conditions
  • The Muse

Advice

  • Community
  • Articles
  • Podcasts
  • Research
  • Pregnancy Week by Week
  • Browse Discussions

Jobs

  • Browse All Jobs
  • Remote Jobs
  • Company Reviews
  • Best Companies for Women

Events

  • Events Calendar
  • Virtual Career Fairs

Employers

  • Partner with Us

© 2026 FGB Muse Group Inc.

© 2026 FGB Muse Group Inc. All rights reserved.

  • About
    • About Us
    • Community Partners
  • Careers
  • FAQs
    • Community Guidelines
    • Submissions & Editorial Guidelines
  • Privacy Policy
  • Terms & Conditions