Consent Optimization Product Jobs

1 job found

1mo ago

Product Operation Manager, Local Service-GPS

TikTok San Jose, CA

San Jose, CA

1mo ago Closed

$94k - $220k/yr Full time Manager Analytics Business Analytics

This position is no longer accepting applications (closed Aug 2, 2026).

Job Description

Product Operations Manager for Local Service-GPS at TikTok in San Jose, onsite, focusing on location permission growth, Local Services campaign operations, and data-driven optimization.

Responsibilities

Leverage user behavior insights, content signals, and analytics to craft engaging, user-facing mechanisms and growth initiatives that raise the location permission opt-in rate.
Iterate in-app narratives, incentives, and contextual prompts to secure user consent and broaden Local Services signal coverage.
Manage end-to-end Local Services campaigns, including planning, execution, iteration, and performance reviews.
Elevate core metrics such as location permission opt-in rate, user location accuracy, and related funnel indicators through structured campaign operations.
Develop and maintain campaign monitoring frameworks and KPI dashboards.
Perform data analysis, run A/B tests, and conduct post-campaign reviews to identify growth opportunities and continuously optimize strategy, mechanics, and user experience.
Translate complex business goals and privacy constraints into scalable, compliant, and user-friendly campaign solutions.

Requirements

Bachelor’s degree or higher; 3+ years of experience in operations, growth, strategy, or campaign management at internet platforms.
Proven track record of driving business metrics through campaigns or growth initiatives, especially in user permissions, product adoption, or funnel optimization.
High learning agility and ownership mindset; able to quickly understand new products, policies and systems, and independently advance projects in a fast-paced environment.
Excellent cross-functional communication and stakeholder management; capable of coordinating multiple teams and pushing complex initiatives end-to-end under ambiguity and pressure.
Strong data literacy and structured thinking; comfortable using data to define problems, evaluate performance, and make decisions.
Goal-driven, resilient and detail-oriented; able to balance long-term strategy with hands-on execution and rapid iteration.
Experience in local services, maps / location-based services or O2O industries is preferred.
Strong product sense, data analytics and problem solving skills.
Deep understanding of user behavior and in-app experience is a plus.
Experience with dashboards, experiments or SQL is a plus.

Technologies

Benefits

Medical, dental, and vision coverage
401(k) savings plan with company match
Paid parental leave
Short-term and long-term disability insurance
Life insurance
Wellbeing programs
Ten paid holidays per year
Ten paid sick days per year
Seventeen days of paid personal time, prorated at hire with accruals increasing with tenure
Discretionary bonuses or incentives
Restricted stock units

Compensation

Salary: USD 93,600 - 220,400 per year

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