Technical Program Manager — AdCloud AI Bidding

Posted 13 Days Ago
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Taipei City, TWN
In-Office
Mid level
Artificial Intelligence
The Role
Lead cross-team technical programs for AI bidding and campaign optimization, coordinating scientists, engineers, product teams, external partners, and internal users. Responsibilities include planning delivery timelines, translating requirements into technical solutions, defining experiment and migration SOPs, coordinating A/B testing and rollouts, managing reviews and prioritization, documenting trade-offs, and validating decisions with SQL and spreadsheets.
Summary Generated by Built In
About Appier

Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier's mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.


About the Role

The AI Bidding team owns the bidding algorithm and campaign optimization behind Appier's programmatic ad platform. We're looking for a TPM to work closely with scientists and serve as the bridge across engineering teams (Scientist, Bidding serving, Creative, Internal Dashboard, Technical support, etc) and drive cross-team technical programs to completion. Business-side communication is primarily routed through the Product Manager, but this role still needs to understand business requirements well enough to translate them into technical scope and trade-offs.


What You Will Do
  • Lead the planning, scheduling, and delivery tracking of cross-team technical programs (e.g., model iteration, algorithm migration, dashboard migration), keeping timelines and priorities aligned
  • Clarify technical details with external partners, and translate them into the design of internal technical solutions
  • Define and maintain SOPs for experiments, feature rollouts, and migration plans (including rollback planning); coordinate A/B test design and rollout sign-off with internal users
  • Run the cross-team working model through acceptance and feasibility reviews, estimation and prioritization rules, and checkpoint cadence, and track them through Jira/BT.
  • Write technical documentation and communication materials that make solutions and trade-offs clear to non-technical stakeholders
  • Perform basic data queries to validate decisions independently (SQL/spreadsheets) 

Minimum Qualifications
  • 3+ years of experience as a Technical PM, ideally in adtech or e-commerce
  • Dig into and find the fundamental root cause before proposing solutions
  • Experience analyzing pros and cons across solutions
  • Experience coordinating across engineering and business-facing teams, with strong stakeholder management skills
  • Working SQL/data-analysis skills, able to independently validate data for decision-making
  • Familiar with project management tools such as Jira/Confluence

Preferred Qualifications
  • Familiarity with adtech concepts such as attribution, tracking and rendering behavior
  • Experience with real-time bidding / DSP systems / user-value prediction or other online serving systems
  • Basic Python/PySpark skills to write your own queries
  • Fluent in both English and Mandarin, for coordinating with international partners

#LI-TC1

Skills Required

  • 3+ years of experience as a Technical Project Manager, ideally in adtech or e-commerce
  • Ability to identify fundamental root causes before proposing solutions
  • Experience analyzing pros and cons across potential solutions
  • Experience coordinating engineering and business-facing teams
  • Strong stakeholder management skills
  • Working SQL and data-analysis skills sufficient to independently validate data
  • Familiarity with project management tools such as Jira and Confluence
  • Familiarity with adtech concepts including attribution, tracking, and rendering behavior
  • Experience with real-time bidding, DSP systems, user-value prediction, or other online serving systems
  • Basic Python or PySpark skills for writing queries
  • Fluency in English and Mandarin
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The Company
HQ: Taipei City
642 Employees
Year Founded: 2012

What We Do

Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

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