Machine Learning Managers
Company websitejobsforhumanity.com (Jobs for Humanity, opens in new tab)
Base salary $149,040 to $311,600
Employer-published annual base salary, USD. Advertised base range in United States
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationUnited States
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
Company Description
Jobs for Humanity is collaborating with Upwardly Global and with Tiktok to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life.Company Name: Tiktok
Job Description
Product Manager, Privacy-Preserving Machine Learning
San Jose
Regular
Product
Commercial product (ads)
Job ID: A03013
Responsibilities
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joya mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impactfor ourselves, our company, and the communities we serve. Join us.
The digital ads ecosystem is experiencing a major shift toward privacy-centric changes. The Privacy Preserving Machine Learning team is built to proactively solve the most important privacy problems for our consumers and advertisers with innovative technologies. This team sits at the center of Signal & Identity, Targeting, Optimization and Measurement teams. We are looking for a candidate who is passionate about privacy and is well versed in digital ads products to join our team and help our business revolutionize digital ad products in a more privacy-centric ecosystem!
Responsibilities
- Define the product vision, strategy, roadmap and success metrics
- Prioritize features with quantitative and qualitative input
- Work with cross-functional/cross-org teams to execute on product roadmap and ship products
- Clearly communicate with stakeholders to ensure smooth execution
- Ultimately, you will be the product owner, so being willing to be flexible and fill in the gaps where needed is very important
Qualifications
- 2+ years of direct Product Management experience with a track record of shipping successful products (Note: This does not mean total years of experience.)
- Experience building ML recommendation models
- Deep understanding of ad tech, i.e. targeting, delivery, signal & identity, or measurement space
- Problem-driven and goal-driven
- Ability to navigate in an ambiguous situation and figure out the right problems to solve with the right strategy
- Great communication skills
- Proven ability to work cross-functionally in a highly collaborative environment
Preferred Qualifications
- Relevant experience in the privacy space
- Technical education or engineering/DS background (CS, EE, Stats, etc.)
- Experience working with global teams
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
For Pay Transparency - Compensation Description (annually): The base salary range for this position in the selected city is $149,040 - $311,600 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.
A wide range of benefits are offered to eligible employees, including premium coverage for employee medical insurance, dental and vision plans, short/long term disability, life insurance, AD&D insurance, and flexible spending account options. Time off and leave plans include paid holidays, personal time off, sick days, parental leave, and supplemental disability. Additional benefits such as mental and emotional health benefits, 401k company match, gym reimbursements, and cellphone service reimbursements are also provided.
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:
- Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues
- Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems
- Exercising sound judgment
Source: Jobs for Humanity on SmartRecruiters · View original posting (opens in new tab)
Pay in context
This role's base floor ($149,040) is above 16% of the 1,469 Data & ML roles in California listed on this site. Their median floor is $190,000; the middle half runs from $160,000 to $229,900.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingMachine Learning Managers$149,040 to $311,600
Corporate Counsels$154K to $230K
Google Cloud Architects$142K to $211K
Product Research Analysts$141K to $296K
Machine Learning Engineers$136,800 to $280,000
NPI Program Managers$130,600 to $179,630
Optical Systems Engineers$120K to $130K
Chart as a table
| Role | Published base |
|---|---|
| Machine Learning Managers (this listing) | $149,040 - $311,600 |
| Corporate Counsels | $154K - $230K |
| Google Cloud Architects | $142K - $211K |
| Product Research Analysts | $141K - $296K |
| Machine Learning Engineers | $136,800 - $280,000 |
| NPI Program Managers | $130,600 - $179,630 |
| Optical Systems Engineers | $120K - $130K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- fields changed
- Observed since
- Employer-stated posting date
- 2024-09-25
Where this pay comes from
Location as the employer wrote it: San Jose, CALIFORNIA, United States
For Pay Transparency - Compensation Description (annually): The base salary range for this position in the selected city is $149,040 - $311,600 annually. Compensation may vary outside of this range depen
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
