Product Manager- TikTok Commerce Recommendation

$161,280 - $399,600/Yr

Tiktok - San Jose, CA

Full-time - Mid Level

San Jose, CA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

TikTok is the leading destination for short-form mobile video, with a mission to inspire creativity and bring joy to over 1 billion users globally. The US e-commerce recommendation team plays a crucial role in supporting TikTok's e-commerce business growth by enhancing the consumer, seller, and creator experience through innovative recommendation products. We are seeking experienced Product Managers (PMs) who can identify business problems and opportunities within the US market and develop cutting-edge recommendation products that align with our high business goals. As a Product Manager, you will be responsible for driving long-term e-commerce business development on TikTok by leveraging the power of recommendation and personalization. You will set a clear product roadmap by analyzing and identifying business problems and opportunities, defining key milestones, and managing product development cycles. Collaboration with cross-functional teams will be essential as you build and iterate on our strategies and products, ensuring that we remain at the forefront of the e-commerce landscape. At TikTok, we value humility, intelligence, compassion, and creativity. We encourage our employees to lead with curiosity and embrace calculated risks while navigating ambiguity. The opportunities for growth and impact are limitless for those who dare to pursue bold ideas that push the boundaries of possibility. Join us in making a significant impact in the world of e-commerce and beyond.

Responsibilities

• Drive long-term e-commerce business development on TikTok by leveraging recommendation and personalization.
• Set clear product roadmap by analyzing and identifying business problems/opportunities.
• Define product key milestones and manage product development cycles.
• Collaborate with cross-functional teams to build and iterate strategies and products.

Requirements

• BA/BS degree or above in Computer Science, EE, Mathematics, Statistics, or equivalent practical experience.
• 3+ years of experience in recommendation/ad delivery/search products; experience in e-commerce platform recommendation/e-commerce ad delivery products is preferred.
• Strong cross-team/culture collaboration ability and excellent communication skills.
• Fast learning and self-driving.

Nice-to-haves

• Experience with machine learning/recommendation systems is a plus.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents.
• Health Savings Account (HSA) with company match.
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.
• Flexible Spending Account (FSA) Options like Health Care, Limited Purpose and Dependent Care.
• 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) and 10 paid sick days per year.
• 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
• Mental and emotional health benefits through EAP and Lyra.
• 401K company match, gym and cellphone service reimbursements.