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Microsoft Capability Lead - eCommerce AI Agent Operations Taiwan, Taoyuan City 712921110
16.10.2025
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Required/minimum qualifications
- Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development
- OR equivalent experience.
- 2+ years of experience managing cross-functional and/or cross-team projects.
- 4+ years of experience in marketing technology, product, or program delivery for large-scale B2B go-to-market.
Additional or preferred qualifications
- Bachelor's Degree AND 8+ years experience engineering, product/technical program management, data analysis, or product development
- OR equivalent experience.
- 6+ years of experience managing cross-functional and/or cross-team projects.
- 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos).
- Demonstrated ability to turn ambiguous problems into scalable processes and tooling (standardization → optimization → automation) with measurable business outcomes.
- Experimentation and analytics chops: defining KPIs, instrumenting telemetry, running A/B tests, analyzing uplift, and converting insights into product/process changes.
- Fluency in compliant audience targeting and activation (consent management, suppression rules, segmentation, frequency capping) and how these interact with campaign orchestration.
- Excellent cross-functional influence skills; able to align Marketing, Sales, Engineering, Data/Privacy, and Legal on requirements, trade-offs, and launch criteria.
- Clear, executive-ready communication—concise writing, crisp status/reporting, and the ability to narrate both technical and business impact.
- Familiarity with MarTech platforms (journey orchestration, customer data platform (CDP), email service provider (ESP)/marketing automation) and event/real-time integrations.
- Working knowledge of Responsible AI and global privacy/regulatory frameworks (e.g., GDPR, CCPA) applied to automated customer interactions.
- Practical scripting/data skills (SQL/Python) for prototyping evaluations, building dashboards, or automating ops tasks.
- Background in eCommerce or revenue-adjacent scenarios (upsell, cross-sell, guided buying, lead qualification) and attribution/measurement.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Responsibilities
- Translate ambiguous business goals into standard business processes for agents, define success metrics, and experiment plans; validate impact via A/B tests and holdouts.
- Lead the end-to-end rollout of customer-facing AI Agents as a standard marketing capability: from standardized manual processes to fully-automated optimized self-serve capabilities enabling repeatable and scaled deployment across GTM campaigns.
- Maintain high-quality documentation for Marketers on these evolving processes.
- Create clear and detailed requirements to automate these processes.
- Operationalize agent knowledge management: define ingestion/refresh cadences, taxonomies, and QA for product, offer, and policy content; in partnership with Engineering establish guardrails and drift monitoring.
- Build and evolve processes and tooling for compliant targeting and activation (consent, suppression, frequency, geo/segment eligibility) across channels like web chat, email, and in-product.
- Define and maintain KPI frameworks (engagement, conversion, revenue influence, CSAT/NPS, safety/quality), instrument telemetry, and publish executive-ready readouts.
- Partnering with Marketing, Sales, and Engineering lead a v-team to enable operational capabilities aligned with shaping roadmaps, prioritizing high-ROI scenarios, and unblocking adoption in a global, matrixed organization.
- Champion Responsible AI: privacy, security, fairness, transparency, and brand safety; ensure adherence to Microsoft policies, legal requirements, and regional regulations.
- Embody our and .
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