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Wing Assistant

Strategy & Operations Manager – Client Onboarding, Activation & Retention

Wing Assistant

. Own the entire post-sale customer journey from deal close through month 12 and beyond .

Posted 11/12/2026full-timeRemote • Hong KongMid-LevelSenior💰 CN¥46,000 - CN¥63,000 per monthWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing the post-sale customer journey, focusing on retention, churn analysis, and cross-team collaboration. Proficient in building analytical models and dashboards using AI tools and SQL to drive data-informed decision-making.

Highest-signal resume keywords
Customer Journey ManagementData Analysis and SQL ProficiencyExperience with AI Coding ToolsStakeholder CollaborationManagement or Strategy Consulting Experience

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnalysisSQLRetention AnalysisChurn AnalysisRoot-Cause AnalysisAnalytical ModelingDashboard BuildingProcess RedesignFunnel AnalysisCohort Analysis
Soft Skills
Attention to DetailOwnership MentalityAbility to Thrive in AmbiguityCross-Cultural CommunicationStakeholder Management
Tools & Technologies
ClaudeAI Coding ToolsBI ToolsSpreadsheetsMCPs
Industry Keywords
Customer SuccessBusiness OperationsStrategy ConsultingPost-Sale ManagementOperational Excellence

Tech Stack

Tools & technologies
SQL

About the role

Key responsibilities & impact
  • Own the entire post-sale customer journey from deal close through month 12 and beyond
  • Manage the onboarding pipeline from signed deal to fully live account
  • Define activation and early-life health, identify at-risk accounts, and intervene early
  • Define, measure, and analyze retention and churn across logos, revenue, lifecycle, roles, segments, acquisition channels, and teams
  • Conduct root-cause analysis using funnels, cohorts, survival curves, leading indicators, qualitative information, and raw data
  • Map cross-team handoffs, identify friction, redesign processes, run experiments, and measure impact
  • Build dashboards, alerts, and workflow tools using Claude and other AI coding tools
  • Write SQL, reconcile data sources, and build analytical models
  • Collaborate with sales, recruiting, customer success, finance, product, and Philippines operations teams
  • Drive change through clarity and evidence without direct authority
  • Report weekly to leadership on pipeline, activation, and retention health, including changes and corrective actions
  • Map the customer journey, establish metric baselines, identify high-impact opportunities, launch interventions, ship tools, and run a weekly operating cadence

Requirements

What you’ll need
  • 3–7 years of experience, including at least 2 years in management or strategy consulting (MBB, Tier 2, Big 4 strategy or a strong boutique), or an equivalent analytical role such as strategy, BizOps or PE portfolio operations
  • Relentless attention to detail and ability to reconcile numbers to the dollar
  • Strong data skills and comfort working directly with databases, spreadsheets, and BI tools
  • Programming experience is a plus, but not necessary
  • Daily use of Claude or similar AI tools
  • Comfort connecting AI tools to data through MCPs
  • Experience building working tools with AI coding assistants such as Claude Code, Cursor, Replit, or Lovable; candidates should show something they have built
  • Fluent English, written and spoken
  • Ownership mentality and ability to thrive in ambiguity
  • Comfortable working with stakeholders across cultures, seniority levels, and functions
  • Final-stage candidates may be asked to complete background and reference checks
  • Must be available to work from the evening into the night, Hong Kong time
  • This must be the candidate's only professional commitment; other employment, consulting work, or business interests must be disclosed

Benefits

Comp & perks
  • Remote, full-time role
  • Occasional in-person meetings in Hong Kong
  • Occasional trips to the operation center in the Philippines
  • Opportunity to work with AI technologies and build tools using AI coding assistants
  • High ownership, tight feedback loops, and accountability for results
  • Equal opportunity employer