Job Description

About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an Always Day 1 mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

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.

Responsibilities
Team Introduction

The TikTok Search Product Team helps users discover content, find information, and make decisions on TikTok. Our local services team connects TikTok's content ecosystem with location and business information to help users explore places and plan real-world experiences.

We are looking for a Product Manager to develop local services capabilities for TikTok's AI assistant. This role focuses on conversational experiences that help users discover places, compare options, verify business information, and decide where to go across markets and local service categories.

Responsibilities

- Own the product strategy and roadmap for AI-powered local services discovery and decision-making. Identify user needs across dining, hotels, leisure, and other local experiences, and translate them into prioritized product requirements and measurable goals

- Design conversational user journeys that incorporate location, budget, preferences, and contextual constraints. Improve how the assistant clarifies needs, retains context across multiple turns, compares candidates, and provides relevant recommendations

- Develop experiences that combine TikTok videos, business information, place cards, and maps. Define how information is retrieved, organized, and presented so users can understand recommendations and evaluate their options

- Partner with machine learning and engineering teams to define domain-specific agent skills, retrieval tools, and tool-use requirements. Establish expected behavior for place discovery, business verification, and local trip planning, including handling missing information and tool failures

- Build evaluation datasets and quality standards for local services scenarios. Assess place relevance, factual accuracy, information freshness, personalization, and task completion use conversation and tool-execution records to diagnose failures and guide improvements

- Drive integration with TikTok search and place detail pages, working with partner teams on contextual handoffs and navigation or reservation entry points. Coordinate product delivery, testing, and experiments, and improve the experience through user research and data analysis

Qualifications
Minimum Qualifications

- Experience independently managing consumer search, recommendation, conversational AI, or location-based products, from problem definition through delivery and iteration

- Strong understanding of local services discovery and decision-making journeys, including how users evaluate businesses using location, availability, price, preferences, and content

- Practical understanding of LLM-based products, including retrieval, prompt design, tool use, and multi-turn interactions, with the ability to translate model limitations into clear product requirements

- Experience developing evaluation datasets, quality criteria, or experimentation frameworks, and using both qualitative reviews and quantitative evidence to prioritize improvements

- Strong analytical skills, including the ability to use SQL to investigate user behavior and product performance.

Proven ability to coordinate machine learning, engineering, design, data science, and operations teams to deliver complex products

Preferred Qualifications

- Experience with POI data, maps, geospatial search, business information quality, or content-based local discovery

- Experience building AI agents, personalized assistants, or products that combine video, text, and structured information

- Experience developing products across multiple markets or languages proficiency in Python for analysis and evaluation is a plus