Product ops
Product Operations Manager (LLM Prompt Operations) - TikTok Safety Product (San Jose)
Location
:
San Jose
Employment Type
:
Regular
Job Code
:
A62545B
Responsibilities
About the Team
The Safety Product (or Platform Responsibility)team is at the forefront of building and optimizing content safety systems. With a focus on optimising and advancing content safety, we leverage advanced large language models to enhance review efficiency, risk control, and user trust. Working closely with business and technical stakeholders, we deliver scalable solutions that keep pace with rapid global growth.
Responsibilities
Lead the optimization of large language model (LLM) prompts in accordance with community guidelines, ensuring they align with safety and governance standards.
Develop and maintain processes for continuously cleaning and refining positive and negative examples to enhance model performance and accuracy.
Produce and curate high-quality ground truth datasets that support the training and validation of AI-driven safety frameworks.
Collaborate with cross-functional teams (ML engineers, data scientists, policy experts, operations) to implement structured and interpretable systems that improve platform safety and governance.
Analyze data trends and model outputs to identify areas for improvement and drive the iteration of prompt strategies.
Establish workflows for the regular evaluation and prioritization of prompt modifications based on community feedback and safety metrics.
Qualifications
Minimum Qualifications
1+ years of product management experience in consumer-facing mobile/web companies, preferably in AI/ML or Trust & Safety domains.
Hands-on experience with AI/ML systems, particularly in natural language processing, and the ability to translate model capabilities into effective product solutions.
Proven track record of delivering impactful products or process improvements that enhance safety, governance, or user experience.
Strong data analysis skills, with the ability to evaluate model quality, interpret trade-offs, and guide iterations based on data insights.
Excellent communication and project management skills, capable of influencing and aligning cross-functional stakeholders.
Preferred Qualifications
Prior experience in Trust & Safety, safety-by-design, or risk/governance products.
Familiarity with online safety regulations, AI policy trends, and emerging governance practices in the tech industry.
Experience managing products with safety-related metrics (e.g., precision/recall, error trade-offs, governance impact).
Experience with human-in-the-loop systems and machine moderation for reducing harmful content.
Experience working with international teams across diverse markets, time zones, and cultural contexts.
Job Information
?For Pay Transparency?Compensation Description (Annually)
The base salary range for this position in the selected city is $88000 - $151112 annually.
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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.
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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).
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The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
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