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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
Software engineers at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Senior Software Engineer, Backend Development at Ad Cloud Platform Team, you will design and build scalable and performant backend architecture, own and drive the technical roadmap for sizable projects or services, mentor junior engineers, and facilitate high performance agile teams collaborating with cross-functional teams.
About you
[Minimum Qualifications]
[Preferred Qualifications]
#LI-AK1
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Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI.
Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.
At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers. We are focused on leveraging the latest technologies in Large Language Models (LLMs) and AI Agent systems, while ensuring that the solutions we develop are cost-effective, secure, and reliable.
As an AI Agent Engineer, you'll be at the forefront of deploying AI agents that address real-world challenges. In this role, you will work closely with customers as well as our software and machine learning engineers, ensuring high-impact AI Agent deployments and contributing to the continuous improvement of our core AI platform. You’ll develop intelligent AI agents, integrate them seamlessly with external systems and offer hands-on technical expertise to ensure successful deployments.. This position requires strong engineering skills, adaptability, and customer engagement. If you are self-driven, analytical, and eager to leverage AI in practical applications, this role is for you.
What You'll Do :
Perks & Benefits:
We offer a comprehensive and people-first benefits package to support you at work and in life:
Compensation at Cresta
Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.
The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai
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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]
[Nice to have]
Appier is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
#LI-AK1
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Apply to Appier
Dcard GNTC 團隊致力於打造企業級 AI 工作平台,讓企業都能透過 AI 提升工作效率、創造更高價值。
我們相信 AI 不只是工具,更是每個團隊成員的智能助手,能夠深度整合企業資料與流程,協助團隊做出更精準的決策、產出更高品質的成果。我們提供全方位的企業 AI 工作平台,使企業夥伴可以提升決策與洞察 、加速企劃產出 ,並且能透過 Agent 自動化處理例行任務,讓團隊專注於更具創造性與決策價值的工作。
為了達成這個目標,我們需要 Fullstack Engineer 加入我們,負責 Dcard GNTC 企業 Agent 平台的前後端開發與系統架構設計。你將端到端打造完整的生成式 AI 應用,為企業客戶提供優質的產品體驗。
狄卡科技股份有限公司及其關係企業基於「員工招募」之目的,將蒐集您的「識別類、特徵類、社會情況、教育、考選、技術或其他專業、受僱情形」等個人資料,或您主動為求職目的而提供的資料(履歷、自傳等),以在招募期間及地區內,作為本次招募作業審核、評選、聯繫之用。如您未獲錄取,我們仍將保留您的資料以便向您通知新的職缺機會。
您得以致電狄卡科技股份有限公司及其關係企業(電子信箱:hr.ta@dcard.cc)行使請求查閱、補充、更正;請求提供複製本;請求停止蒐集、處理、利用;請求刪除個人資料等權利。如您未正確、完整提供各項資料,將可能影響聘用審核、評選或聯繫。
Ready to apply?
Apply to DcardDcard GNTC 團隊致力於打造企業級 AI 工作平台,讓企業都能透過 AI 提升工作效率、創造更高價值。
我們相信 AI 不只是工具,更是每個團隊成員的智能助手,能夠深度整合企業資料與流程,協助團隊做出更精準的決策、產出更高品質的成果。我們提供全方位的企業 AI 工作平台,使企業夥伴可以提升決策與洞察 、加速企劃產出 ,並且能透過 Agent 自動化處理例行任務,讓團隊專注於更具創造性與決策價值的工作。
為了達成這個目標,我們需要 Forward Deployed Engineer 加入我們,你將駐點或遠端與企業客戶深度合作,從業務需求拆解、原型設計,到雲端部署與維運,端到端交付生成式 AI 解決方案。歡迎加入這個熱愛挑戰的技術團隊,一起打造被千萬人喜愛與使用的產品!
狄卡科技股份有限公司及其關係企業基於「員工招募」之目的,將蒐集您的「識別類、特徵類、社會情況、教育、考選、技術或其他專業、受僱情形」等個人資料,或您主動為求職目的而提供的資料(履歷、自傳等),以在招募期間及地區內,作為本次招募作業審核、評選、聯繫之用。如您未獲錄取,我們仍將保留您的資料以便向您通知新的職缺機會。
您得以致電狄卡科技股份有限公司及其關係企業(電子信箱:hr.ta@dcard.cc)行使請求查閱、補充、更正;請求提供複製本;請求停止蒐集、處理、利用;請求刪除個人資料等權利。如您未正確、完整提供各項資料,將可能影響聘用審核、評選或聯繫。
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About the role
We are seeking an experienced Machine Learning Lead to helm our Machine Learning team.
In this pivotal role, you will be the engineering architect behind Vulcan’s core AI capabilities. You will act as the nexus between Research, Platform, and Product. Your mission is to translate cutting-edge findings on GenAI threats into robust, production-ready machine learning models that power our GenAI Security Guardrails (Blue Team) and Automated Vulnerability Assessment (Red Team).
Crucially, you will serve as the bridge between deep tech and business strategy, articulating technical constraints (like FLOPS and latency) to leadership and clients while guiding the engineering direction.
2. MLOps& Data Infrastructure:
3. Cross-Functional Implementation & Leadership:
4. Technical Strategy & Stakeholder Management:
Qualifications
Ready to apply?
Apply to AIFT
Dcard GNTC 團隊致力於打造企業級 AI 工作平台,讓企業都能透過 AI 提升工作效率、創造更高價值。
我們相信 AI 不只是工具,更是每個團隊成員的智能助手,能夠深度整合企業資料與流程,協助團隊做出更精準的決策、產出更高品質的成果。我們提供全方位的企業 AI 工作平台,使企業夥伴可以提升決策與洞察 、加速企劃產出 ,並且能透過 Agent 自動化處理例行任務,讓團隊專注於更具創造性與決策價值的工作。
為了達成這個目標,我們需要 Senior Backend Engineer 加入我們,負責 Dcard GNTC 企業 Agent 平台的後端架構設計、AI 模型整合與系統開發。你將專注於打造穩定、可擴展的生成式 AI 後端服務,為企業客戶提供強大的技術支撐。
狄卡科技股份有限公司及其關係企業基於「員工招募」之目的,將蒐集您的「識別類、特徵類、社會情況、教育、考選、技術或其他專業、受僱情形」等個人資料,或您主動為求職目的而提供的資料(履歷、自傳等),以在招募期間及地區內,作為本次招募作業審核、評選、聯繫之用。如您未獲錄取,我們仍將保留您的資料以便向您通知新的職缺機會。
您得以致電狄卡科技股份有限公司及其關係企業(電子信箱:hr.ta@dcard.cc)行使請求查閱、補充、更正;請求提供複製本;請求停止蒐集、處理、利用;請求刪除個人資料等權利。如您未正確、完整提供各項資料,將可能影響聘用審核、評選或聯繫。
Ready to apply?
Apply to DcardAbout the role
We are seeking an experienced Machine Learning Lead to helm our Machine Learning team.
In this pivotal role, you will be the engineering architect behind Vulcan’s core AI capabilities. You will act as the nexus between Research, Platform, and Product. Your mission is to translate cutting-edge findings on GenAI threats into robust, production-ready machine learning models that power our GenAI Security Guardrails (Blue Team) and Automated Vulnerability Assessment (Red Team).
Crucially, you will serve as the bridge between deep tech and business strategy, articulating technical constraints (like FLOPS and latency) to leadership and clients while guiding the engineering direction.
2. MLOps& Data Infrastructure:
3. Cross-Functional Implementation & Leadership:
4. Technical Strategy & Stakeholder Management:
Qualifications
To us, people are our greatest asset, and we are more than happy to invest in employees! We create a healthy work atmosphere and provide you with the tools and support for doing your job successfully. With a culture of flexibility and transparency, we believe there should be no barriers, and everyone’s contributions matter.
Work Life Balance is a must
Grow together & keep learning
Work Hard, Play even Harder
Ready to apply?
Apply to AIFT
About the role
We are looking for a talented Machine Learning Engineer to join our Product Core Engineering team. You will be responsible for building and optimizing machine learning workflows that directly power our AI-driven products. This role focuses on the full lifecycle of model development — from training and fine-tuning to deployment and monitoring — ensuring robust and efficient ML systems at scale.
Qualifications
To us, people are our greatest asset, and we are more than happy to invest in employees! We create a healthy work atmosphere and provide you with the tools and support for doing your job successfully. With a culture of flexibility and transparency, we believe there should be no barriers, and everyone’s contributions matter.
Work Life Balance is a must
Grow together & keep learning
Work Hard, Play even Harder
Ready to apply?
Apply to AIFT
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