Senior Producer (Mandarin-speaking)

Bellota Labs•Redwood City, CA

118d•$175,000 - $225,000

About The Position

Bellota Labs is a gaming studio focused on creating competitive, multiplayer-first experiences with an emphasis on live operations, player engagement, and long-term product excellence. We are the team behind ClubWPT Gold, the flagship product of the World Poker Tour (WPT). ClubWPT Gold combines competitive gameplay, live-service systems, and real-money prize structures, serving a dedicated player base. We operate with a high degree of ownership, speed, and accountability, seeking leaders who are passionate about building enduring products. As an AI-native studio, we expect our producers to leverage modern AI tools to enhance clarity, reduce cycle times, and empower the team with advanced capabilities.

Requirements

5+ years of experience in game production or technical production
Experience shipping and operating a live-service game
Strong understanding of agile development and production frameworks
Experience working closely with engineering teams on complex systems
Hands-on fluency with AI tools in a professional production workflow — for planning, documentation, meeting synthesis, stakeholder communication, and risk analysis — with clear judgment about where AI accelerates the work and where human leadership must lead
Excellent communication and stakeholder management skills
High ownership mentality and bias toward action

Nice To Haves

Experience in competitive multiplayer or real-money gaming environments
Background in technical production
Experience in early-stage or high-growth studios
Experience introducing or scaling AI-powered workflows in a production or PM context
Passion for poker, strategy games, or competitive ecosystems
Mandarin proficiency (preferred but not required)

Responsibilities

Own and drive development schedules across multiple teams, using AI tools to accelerate roadmap drafting, dependency mapping, and scenario planning.
Translate high-level product strategy into actionable roadmaps and milestones. Leverage AI (e.g., ChatGPT, Claude) to pressure-test plans, surface edge cases, and draft clear documentation at speed.
Partner with Design and Engineering leads to define scope and delivery timelines, using AI-assisted estimation and risk-analysis techniques to sharpen forecasts.
Proactively identify production risks and resolve blockers, using AI to synthesize signals across tickets, docs, and meeting notes so nothing falls through the cracks.
Facilitate sprint planning, milestone reviews, and cross-functional syncs. Use AI-powered meeting tools (e.g., Granola, Fireflies, Otter, Notion AI) to capture, summarize, and distribute action items.
Improve production workflows to increase clarity and velocity. Evaluate and roll out AI-powered PM tools (e.g., Linear, Jira, Notion, ClickUp with AI copilots) to reduce coordination tax across the org.
Coordinate internal stakeholders across product, engineering, and operations. Use AI to draft crisp status updates, executive summaries, and stakeholder comms that keep everyone aligned without drowning the team in meetings.
Support live ops initiatives, seasonal content, and ongoing feature releases, using AI tooling to monitor rollouts, synthesize player feedback, and accelerate post-mortems.
Champion AI in production workflows, continuously evaluating new tools and techniques that elevate team velocity, clarity, and quality — and sharing learnings broadly.