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TikTok · New York, NY · Mid Level · Data, analytics and AI · posted yesterday
TikTok · San Jose, CA · posted 61 days ago
By AtiveSite · Published 07/11/2026 · Updated 08/11/2026 · Every figure is linked to its source below.
| Employer | TikTok |
|---|---|
| Location | San Jose, California |
| Field | Technology › Data, analytics and AI |
| Level | Senior Level |
| Source category | Software Engineering |
| Posted | 2026-09-08 (61 days ago) |
| Work arrangement | On-site at the location listed |
| Pay | Not published in the source listing |
Responsibilities
The Agentic Ops US team focuses on two major areas: Code Graph and Quality Validation. The code graph serves as the data foundation for validation, encompassing static relationships (function calls, experiment/instrumentation dependencies) and dynamic execution paths (reconstructed from traces). Quality validation covers static rule checking (mining soft and logical constraints) and dynamic issue detection, reproduction, and fixing. We aim to improve code reliability and R&D efficiency through systematic, data-driven approaches.
Responsibilities
- Design, develop, and optimize Code Graph capabilities, including static relationship extraction, dynamic trace processing, execution path reconstruction, and graph data modeling.
- Contribute to the architecture and technical design of core systems, with a system-level view of module boundaries, dependencies, scalability, and maintainability, and drive technical solutions through implementation.
- Design and develop static validation capabilities based on the code graph, including mining and validating logical and soft constraints, while continuously improving rule accuracy and coverage.
- Build dynamic validation capabilities for production issue detection, reproduction, root cause localization, and assisted fixing, and develop reusable solutions for common problem patterns.
- Conduct in-depth analysis of complex production quality issues by leveraging code, traces, and other runtime signals, identify root causes, extract generalized patterns, and drive automated validation coverage.
- Develop a deep understanding of code organization, module dependencies, build pipelines, and runtime behavior in large-scale client applications, and explore how Code Intelligence can improve the understandability and quality of complex codebases.
- Explore and introduce techniques in code analysis, program slicing, anomaly detection, LLMs / Agents, and related areas, and apply them to real-world engineering problems.
- Collaborate closely with client, backend, and infrastructure teams to dri
Qualifications
Minimum Qualification(s)
- Bachelor's degree or above in Computer Science, Software Engineering, Artificial Intelligence, or a related field, with 5+ years of professional software development experience.
- Strong programming fundamentals and proficiency in at least one mainstream programming language, such as Java / Kotlin / Go / Python / C++, with solid coding practices and engineering skills.
- Strong system design and software architecture skills, with the ability to decompose complex systems, define clear module boundaries, interfaces, and dependencies, and make sound trade-offs across maintainability, scalability, reliability, and performance.
- Hands-on experience with large-scale or complex engineering projects, with the ability to independently analyze problems, design technical solutions, implement core components, and drive solutions to production.
- Strong foundation in data structures and algorithms, with strong problem abstraction and analytical skills and the ability to quickly understand complex codebases and execution flows.
- Strong investigative mindset and curiosity about unfamiliar problems, with the ability to learn deeply from technical documentation, source code, papers, and other resources and translate insights into practical engineering solutions.
- Strong learning agility, with the ability to quickly ramp up on new technical domains, codebases, and complex systems.
Preferred Qualification(s)
- Android development experience is preferred, especially experience with Android Framework, application architecture, modularization, build systems, performance optimization, or large-scale Android applications.
- Experience with static analysis (e.g., AST, CFG, Call Graph, Data Flow / Pointer Analysis), program analysis, or compiler development.
- Experience with dynamic tracing, observability, or production diagnostics, such as eBPF, OpenTelemetry, or distributed tracing.
- Experience with Code Intelligence, Developer Infrastructure, automated testing, quality platforms, or Root Cause Analysis.
- Experience building large-scale distributed systems, graph processing systems, search/indexing infrastructure, or related platforms.
- Experience with LLMs, AI Coding Agents, Agentic Workflows, or AI for Software Engineering.
- Publications in academic conferences or journals related to code analysis, software engineering, or system reliability, or significant contributions to major open-source projects.
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $254400 - $480000 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.
Field: Technology Sub-niche: Data, analytics and AI All jobs at TikTok Jobs in California Jobs in San Jose, CA San Jose city guide California state guide Santa Clara County economy
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You apply on The Muse or on the employer's page; AtiveSite does not receive or process applications and is not affiliated with The Muse. The description above is shown as the source published it.
This is a Senior Level role in the Technology field (Data, analytics and AI) at TikTok. Senior roles usually expect substantial experience, ownership of results and often the ability to guide others.
We could not match this job title to one occupation in the official wage statistics, so no pay estimate is shown. Pay is not in the source listing; ask the employer for the range and compare in the 240 job niches.
Estimate for a wage earner: 2026 federal brackets and standard deduction (IRS), Social Security 6.2% up to $184,500, Medicare 1.45% (+0.9% above $200,000 single / $250,000 married), and a state rate you set; set your own state tax rate. It ignores credits, pre-tax deductions, local taxes and benefits. Sources: IRS: tax year 2026 inflation adjustments · SSA wage base per Federal Register notice 2025-19763.
This is editorial guidance, not information from the employer.
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The job is in San Jose, CA. Below is what the official statistics say about living and working there.
How San Jose compares. Among the 145 largest places in California, San Jose is #3 by population, #30 for household income (#1 = highest), #110 for rent (#1 = cheapest), #48 for college degrees (#1 = most). Its county, Santa Clara County, is #1 of 58 counties for average pay ($197,043).
San Jose has 990,138 residents (ACS 2020–2024), about 2.5% of the population of California. It covers 178 square miles of land, which works out to roughly 5,564 people per square mile. The median age is 38.2, about the same as the state median (38.2 against 37.9).
The median gross rent is $2,669 a month (rent plus utilities), 31% above the state median ($2,669 against $2,036). Over a year that is 21.9% of the median household income. US housing guidance treats housing as affordable when it takes 30% of income or less, so the typical household is under that line. The median home value is $1,233,200, which is 8.4 times the median household income ($146,427); a ratio above 5 usually means buying is out of reach without savings or a second income. 55.8% of households own their home, about the same as the state average (55.8% against 55.9%).
The San Jose-Sunnyvale-Santa Clara, CA metropolitan area has 1,134,970 jobs in the BLS wage survey, and the median pay across all occupations is $84,050 a year, 65% above the national median ($84,050 against $50,980). The biggest occupation groups are computer and mathematical (149,970 jobs, median $186,320); management (115,110 jobs, median $210,750); business and financial operations (94,210 jobs, median $125,240). The area is most specialised in computer and mathematical (3.9 times) and architecture and engineering (2.5 times), where the share of workers is well above the national share. The best-paying groups with at least 5,000 jobs are management ($210,750) and legal ($195,190). In 2026M09 the unemployment rate of Santa Clara County was 4.2%. 67.6% of residents aged 16 and over are in the labour force. The city lies in Santa Clara County; its jobs, pay by industry and GDP are on the county page.
Among workers, 62.9% drive alone, 2.4% use public transit, 1.8% walk, 20.3% work from home. 15.3% of workers commute 45 minutes or more, 21% below the state average (15.3% against 19.4%).
47.3% of adults aged 25 and over hold a bachelor's degree or higher, 28% above the state share (47.3% against 37.1%). 42.0% of residents were born outside the United States, 56% above the state share (42.0% against 27.0%). The poverty rate is 8.1%, 32% below the state rate (8.1% against 12.0%).
The warmest month is Aug, averaging 68°F (19.8°C), and the coolest is Jan at 47°F (8.3°C). About 510 mm (20 inches) of precipitation falls in a year; Dec is the wettest month (114 mm) and Jul the driest (0 mm). These values come from NASA satellite-based climatology on a grid of about 50 km, so they describe the wider area, not a weather station in the city.
Closest cities in this guide: Campbell (8 miles, similar rent); Los Gatos (9 miles, rent 22% higher); Santa Clara (10 miles, rent 13% higher); Milpitas (10 miles, rent 17% higher). Rent differences are against San Jose; use the Compare tab to put any two cities side by side.
Full guide to San Jose →California guideAll jobs in San Jose
These links go to official sources and open in a new window. The first one is the government's or company's own site as listed in Wikidata (property "official website"); check it before relying on it.
Places within 50 miles (straight line) of San Jose, CA that have a guide, with what living there costs. No pay estimate is shown because the title did not match one occupation.
| Place ⇅ | Distance from the job city ⇅ | Median rent ⇅ | Median home value ⇅ | Median household income ⇅ | Commute 45+ min ⇅ | Rent as % of occupation pay ⇅ | Open jobs there ⇅ |
|---|---|---|---|---|---|---|---|
| San Jose, CA | 0 mi | $2,669 | $1,233,200 | $146,427 | 15.3% | n/a | Jobs |
| Campbell, CA | 8 mi | $2,737 | $1,617,000 | $145,268 | 10.4% | n/a | Jobs |
| Los Gatos, CA | 9 mi | $3,247 | $2,000,001 | $217,554 | 17.6% | n/a | — |
| Santa Clara, CA | 10 mi | $3,016 | $1,582,600 | $178,958 | 8.9% | n/a | — |
| Milpitas, CA | 10 mi | $3,120 | $1,251,700 | $178,798 | 15.2% | n/a | Jobs |
| Saratoga, CA | 12 mi | $3,501 | $2,000,001 | $250,001 | 8.3% | n/a | — |
| Cupertino, CA | 13 mi | $3,501 | $2,000,001 | $234,707 | 9.1% | n/a | Jobs |
| Sunnyvale, CA | 13 mi | $3,039 | $1,801,800 | $186,170 | 9.0% | n/a | Jobs |
| Morgan Hill, CA | 15 mi | $2,474 | $1,210,200 | $163,920 | 32.9% | n/a | — |
| Fremont, CA | 15 mi | $2,933 | $1,403,800 | $181,506 | 23.6% | n/a | Jobs |
| Mountain View, CA | 16 mi | $3,062 | $1,927,000 | $189,917 | 9.3% | n/a | Jobs |
| Los Altos, CA | 16 mi | $3,501 | $2,000,001 | $250,001 | 8.3% | n/a | — |
| Los Altos Hills, CA | 18 mi | $3,501 | $2,000,001 | $250,001 | 18.0% | n/a | — |
| Newark, CA | 19 mi | $2,776 | $1,142,800 | $169,064 | 22.2% | n/a | — |
| Palo Alto, CA | 19 mi | $3,484 | $2,000,001 | $231,101 | 8.2% | n/a | Jobs |
| East Palo Alto, CA | 21 mi | $2,244 | $1,102,600 | $113,493 | 9.7% | n/a | — |
| Menlo Park, CA | 22 mi | $3,239 | $2,000,001 | $210,025 | 11.5% | n/a | Jobs |
| Gilroy, CA | 24 mi | $2,301 | $1,027,400 | $133,107 | 32.4% | n/a | — |
| Atherton, CA | 24 mi | $3,501 | $2,000,001 | $250,001 | 7.0% | n/a | — |
| Union City, CA | 24 mi | $2,713 | $1,104,900 | $133,715 | 24.0% | n/a | — |
We could not match this title to one occupation, so here are the other sub-niches in Technology, where your skills may carry over:
Cybersecurity (366) Software engineering (1880) Cloud, IT and infrastructure (504) Product management (412)
How far San Jose, CA is from the 20 largest US cities, in straight-line miles (not driving distance). Click a column to sort.
| From ⇅ | Straight-line distance (miles) ⇅ | Population of that city ⇅ |
|---|---|---|
| San Jose, CA | 0 mi | 990,138 |
| San Francisco, CA | 73 mi | 830,235 |
| Los Angeles, CA | 296 mi | 3,857,263 |
| San Diego, CA | 407 mi | 1,389,526 |
| Phoenix, AZ | 604 mi | 1,642,323 |
| Seattle, WA | 714 mi | 754,195 |
| Denver, CO | 930 mi | 718,877 |
| Oklahoma City, OK | 1,354 mi | 697,125 |
| Fort Worth, TX | 1,414 mi | 963,194 |
| San Antonio, TX | 1,444 mi | 1,479,835 |
| Dallas, TX | 1,446 mi | 1,307,930 |
| Austin, TX | 1,459 mi | 979,539 |
| Houston, TX | 1,602 mi | 2,328,253 |
| Chicago, IL | 1,832 mi | 2,711,226 |
| Indianapolis, IN | 1,923 mi | 885,860 |
| Columbus, OH | 2,087 mi | 914,802 |
| Charlotte, NC | 2,270 mi | 903,844 |
| Jacksonville, FL | 2,337 mi | 977,670 |
| Philadelphia, PA | 2,497 mi | 1,579,706 |
| New York, NY | 2,550 mi | 8,483,844 |
| City ⇅ | Straight-line distance ⇅ | Open jobs ⇅ |
|---|---|---|
| Campbell, CA | 8 mi | 7 |
| Milpitas, CA | 10 mi | 2 |
| Sunnyvale, CA | 13 mi | 12 |
| Fremont, CA | 15 mi | 2 |
| Palo Alto, CA | 19 mi | 24 |
| Capitola, CA | 23 mi | 1 |
| Pleasanton, CA | 26 mi | 1 |
| Redwood City, CA | 27 mi | 27 |
| Belmont, CA | 30 mi | 2 |
| Alameda, CA | 39 mi | 15 |
| San Francisco, CA | 73 mi | 587 |
| Sacramento, CA | 90 mi | 38 |
TikTok is the employer in this listing. See all its open jobs here →
Company description (from The Muse): As the leading destination for short-form mobile video, TikTok’s mission is to inspire creativity and bring joy.
size: Large Size; industries: Entertainment & Gaming, Social Media, Technology; locations on The Muse: Dubai, United Arab Emirates, London, United Kingdom, Los Angeles, CA, New York, NY, Paris, France, Singapore.
We do not hold headcount or revenue for this employer. Check its careers site and, if it is listed on a stock exchange, its public filings (SEC EDGAR search).
The employer's profile on The Muse →
What it is like to work at a company (culture, schedules, benefits) is not in the source data, so we do not describe it. Read the description and ask the questions under "How to prepare".
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A senior level role in technology (data, analytics and ai) listed 61 days ago. The full description is on this page and on The Muse.
San Jose, CA.
Use the "View this job and apply on The Muse" button. AtiveSite does not receive applications.
The listing does not publish pay, and we could not match the title to one official occupation.
Median rent in San Jose is $2,669 a month and median household income $146,427 (ACS 2020–2024).
It was posted on 2026-09-08 (61 days ago). Jobs older than 90 days are not shown.
Yes: browse data, analytics and ai jobs in California.
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