About Appier 

Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com.

About the role

We are looking for a Product Manager who combines sharp product instincts with real software engineering fluency to own and drive complex, multi-system SaaS products within Appier's Ad Cloud platform.

You will be responsible for defining, designing, and shipping products that span multiple backend systems, API integrations, and cross-functional stakeholders. This isn't a wireframe-and-handoff role, you'll write functional specs with API-level precision, navigate system-of-record ownership across 5+ services, and make architectural trade-off decisions alongside engineering leads.

You'll also be expected to leverage modern AI agent tools (Claude Code, Cursor, Copilot, LLM-based automation) as a core part of your PM workflow, from rapid prototyping of product specs and whitepaper-grade documentation, to data analysis and stakeholder communication. We believe PMs who can wield AI tools effectively operate at 3-5x the output of those who don't.

What You Will Do

Product Design & System Architecture [Core]

- Own the end-to-end product lifecycle for complex SaaS modules that orchestrate across multiple dependent systems (e.g., creative management, tracking, campaign operations, entity hierarchies)
- Author whitepaper-grade product design documents that cover system context maps, interoperability flows, entity hierarchies, state machines, and functional matrices, with enough precision for engineers to implement without ambiguity
- Define system-of-record ownership, API contracts, and data flow directions across multi-system architectures
- Make scope and trade-off decisions across milestones, balancing feature completeness against release velocity

Technical Specification & Execution [Technical]

- Write functional specifications at the API-level: request/response payloads, error handling contracts, idempotency requirements, and cascade/inheritance rules
- Define status matrices with explicit state transitions, ownership boundaries, and cross-system sync behaviors (one-way sync vs. bidirectional, lock/unlock mechanisms)
- Decompose large product initiatives (70+ features) into staged delivery plans with clear dependency graphs, checkpoint gates, and decision trackers for blocking items
- Work directly with engineering teams on implementation trade-offs, you read code, understand database schemas, and can evaluate technical proposals on their merits

AI-Augmented Product Management [AI]

- Use AI agent tools (LLM coding assistants, AI research agents, prompt-driven automation) as daily productivity multipliers for spec writing, competitive analysis, data modeling, and stakeholder communication
- Evaluate how AI/LLM capabilities can be embedded into the product itself, identifying where intelligent automation, content generation, or predictive features create user value
- Prototype product concepts rapidly using AI-assisted development tools, reducing the spec-to-prototype cycle from weeks to days

Cross-Functional Leadership [Leadership]

- Serve as the central product authority across engineering, design, customer success, and sales teams, translating business requirements into precise technical specifications and vice versa
- Drive decision-making on blocking items by framing trade-offs clearly, proposing options with pros/cons, and driving resolution with stakeholders
- Manage product rollouts with permission controls, feature gating, and phased go-live strategies for internal and external users

What You Will Need

[Minimum qualifications]

• Experience: 2-5 years as a Product Manager, Technical PM, or Software Engineer transitioning to product, with a track record of shipping multi-system SaaS/AI-native products
• Engineering Fluency: Solid software development background, you can read and reason about code (any language), understand REST API design, database schemas, state machines, and system architecture diagrams. Prior hands-on engineering experience is strongly preferred
• Spec Quality: Demonstrated ability to write precise technical specifications, not just user stories, but API contracts, entity relationship models, status transition matrices, and interoperability flow diagrams
• Scope Management: Experience with complex product decomposition, breaking down a 50+ feature scope into staged milestones with dependency tracking, decision logs, and blocking item resolution
• AI Tool Fluency: Working fluency with AI/LLM tools, you actively use AI coding assistants, LLM-based research tools, or prompt engineering in your daily workflow. You understand what these tools can and cannot do
• Communication: Excellent communication skills in both English and Mandarin, with the ability to produce clear written artifacts (whitepapers, PRDs, playbooks) that serve as single-source-of-truth references for cross-functional teams
• AI Agent Frameworks: Hands-on experience with modern AI agent frameworks (Claude Code, Cursor, Codex ect) or building AI-powered product features

[Nice to have]

• Background in AdTech, MarTech, or enterprise SaaS platforms with multi-tenant architectures
• Experience managing products that involve third-party system integrations and API partnerships
• Familiarity with Agile/Scrum delivery, but comfort operating in a hybrid model where staged milestone planning coexists with sprint-level execution

Appier is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

#LI-AK1

About Appier 

Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com.

^{About the role}

[The seniority/title is determined by job-related skills, experience, and evaluation after the interview.] 

We’re hiring Product Builders to shape the future of marketing for agents — where AI agents are no longer tools, but active participants in how products are built, decisions are made, and value is delivered.

AI agents are fundamentally reshaping:

• how products are built (AI-native, faster, more iterative)
• how marketing flows work (agent-driven discovery, decisioning, and execution)
• how brands and customers communicate (from campaigns → conversations → autonomous interactions)

This shift unlocks a new wave of opportunities — to redesign workflows, reimagine user experiences, and build entirely new product categories.

This is not a traditional PM / designer / engineer / GTM role.

You’ll operate as a builder at the frontier, using vibe coding, AI tools, and rapid prototyping to explore and ship products in this emerging space. You won’t just define what to build — you’ll build, test, and evolve it.

What you’ll do

Build, not just define

• Design and ship products — where agents discover, decide, and act on behalf of users.
• Ship fast, learn fast — iterate based on simulation or real usage.

Own problems end-to-end

• Identify meaningful problems worth solving (clear “why this matters”).
• Drive from discovery → prototype → launch → iteration → scale.

Operate with high agency

• Don’t wait for perfect clarity — create momentum, test hypotheses, and move forward.
• Take ownership of outcomes, not just outputs.

Redesign how brands and customers interact

• Explore new interaction models: agent-to-agent, human-in-the-loop, and autonomous workflows.
• Reimagine marketing workflows as agent-driven systems, not static funnels.

Focus on what truly matters

• Identify the core 1–3 things that make the product valuable, and execute them exceptionally well.
• Avoid overbuilding — prioritize signal over noise.

Collaborate to ship impact

• Work closely with engineering, design, data, and GTM as co-creators.
• Continuously refine based on real-world feedback and data.

What we’re looking for

We’re looking for experienced, high-agency product builders who thrive in new, undefined spaces.

Core traits

• Builder mindset: you ship, iterate, and learn quickly.
• High agency: you don’t wait — you create momentum.
• Strong product taste: you know what good looks like and push toward it.

Experience

• 3–8+ years in product, engineering, startup, or builder roles.
• Experience shipping products end-to-end (0→1 or 1→n) with multiple showcases, with learning and problems to share.
• Exposure to AI-native products, LLMs, or automation is required.

Skills

• Comfortable operating in ambiguity and fast-changing environments.
• Hands-on with prototyping (no-code, low-code, or code).
• Strong prioritization and product judgment.

Mindset

• You believe the future is being built now — and you want to build it.
• You learn by doing, not waiting.
• You care about real customer impact.

Bonus points

• Experience with AI agents, agent workflows, or automation systems
• Familiarity with marketing automation, CRM, or customer engagement platforms
• Experience with building AI products
• Background in startups or 0→1 product environments
• Technical background (engineering, data, etc.)

Why join us?

We’re at the start of a major shift: From marketing to users → marketing for agents. The way products are built, how decisions are made, and how brands interact with customers is being rewritten — and we’re building at the center of it. This means:

• New product categories
• New interaction models
• New ways to drive ROI

There are countless opportunities to create value for our customers in this wave — and we’re looking for builders to explore and capture them.

What success looks like in the first 6 months

• You’ve shipped multiple prototypes or products in the marketing-for-agents space with business impact
• You’ve identified and validated at least one high-impact opportunity in this new paradigm
• You’re operating as a trusted builder, turning ideas into real outcomes
• You’ve helped redefine how agent-driven marketing workflows should work
• Your work has contributed to shaping Appier’s direction in AI agents and agentic marketing

#LI-AK1

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 seniority/title is determined by job-related skills, experience, and evaluation after the interview.] 

We are looking for a data-driven and collaborative individual to join our team as an RTB Advertising Optimization PM. In this role, you will work closely with data scientists and campaign managers to improve RTB (Real-Time Bidding) campaign performance through model enhancements, strategic insights, and cross-team collaboration. You will have the opportunity to run large-scale A/B testing experiments on billions of ad requests daily, identify key signals that drive performance, and shape the optimization direction based on real-time data and industry trends. This is an ideal opportunity for someone who is passionate about advertising technology, machine learning applications, and performance marketing.

Key Responsibilities:

• Partner with data scientists and campaign managers to improve RTB model and algorithm performance.
• Analyze competitor strategies and market trends to identify optimization opportunities.
• Drive data-informed decision-making to improve campaign outcomes.
• Design and evaluate A/B experiments at scale using billions of daily auction requests.
• Research and test end-to-end RTB ad serving behaviors to uncover areas for improvement.
• Explore and evaluate potential new signals to enhance model effectiveness.
• Collaborate with the SSP partnership team to optimize traffic quality and supply-side performance.
• Coordinate cross-functional requirements with strong communication and alignment across teams.
  
  

Qualifications:
Education: Background in Engineering, Data Science, Marketing, or related fields is a plus.

Availability: Must be available full-time; based in TW preferred.

Language Skills:

• Proficient in English and Mandarin; able to clearly articulate ideas and findings across technical and non-technical audiences.
  
  

Bonus:

• Experience in digital advertising campaign operations, media buying, or performance optimization—especially within RTB environments—is a strong plus.

#LI-AK1

About Appier 

Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012, 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.

Job Title:
RTB Advertising Optimization & GTM PM

Location:
Preferred: Tokyo Japan (or available to travel to Japan frequently)

About the Role:
We are looking for a data-driven and collaborative individual to join our team as an RTB Advertising Optimization PM. In this role, you will work closely with data scientists, campaign managers, and Japan-based business teams to improve RTB (Real-Time Bidding) campaign performance through model enhancements, market insights, and cross-functional collaboration. You will also support local business development and sales teams in identifying key market challenges and shaping the go-to-market strategy. This role offers the opportunity to work with large-scale A/B experiments across billions of ad requests daily and to directly influence product optimization efforts in the Japan market.

Key Responsibilities:

• Partner with data scientists and campaign managers to improve RTB model and algorithm performance.
  Collaborate closely with Japan-based Sales teams to identify business challenges, define product solutions, and support go-to-market strategies.
• Analyze competitor strategies and market trends to uncover optimization opportunities.
• Drive data-informed decision-making to improve campaign outcomes.
• Design and evaluate A/B experiments at scale using billions of daily auction requests.
  Research and test end-to-end RTB ad serving behaviors to uncover areas for improvement.
• Explore and evaluate potential new signals to enhance model effectiveness.
• Work with the SSP partnership team to optimize traffic quality and supply-side performance.
• Coordinate cross-functional requirements with strong communication and alignment across regional and global teams.
  
  

Language Skills:

• Proficient in Japanese ///  Business-level English or Mandarin is a plus.
• Able to clearly communicate ideas and technical findings across both local and global stakeholders.

Bonus:

• Experience in digital advertising campaign operations, media buying, or performance optimization—especially within RTB environments—is a strong plus.

• Experience working directly with Japanese clients or stakeholders is a strong advantage.