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Digital Revenue Manager

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Lab Alley LLC
Full Time position
Listed on 2026-07-30
Job specializations:
  • IT/Tech
    CRM Systems & Management, Data Analyst
Salary/Wage Range or Industry Benchmark: 70000 - 100000 USD Yearly USD 70000.00 100000.00 YEAR
Job Description & How to Apply Below

The Opportunity

We are seeking a tenacious, tech-savvy, and data-driven Digital Revenue Manager who thinks like a growth strategist.

You are not a traditional, high-touch account manager who relies on manual, 1-on-1 phone calls. Instead, you marry behavioral insights with automation to run an efficient digital revenue loop. Supported by an on-staff Data Analyst, you will translate complex customer trends into sharp operational workflows, optimized CRMs, and automated AI engagement. You'll do this while also leading a small group of Customer Success Managers to carry out growth strategies with existing customers.

  • Resilient & Fast-Paced: You thrive where data velocity is high (marketplace volume is scaling >50% YoY).
  • Revenue-Hungry: You treat revenue leakage, abandoned carts, and inactive accounts as personal challenges to solve.
  • Automation-First: You are a CRM power-user who leverages tech to amplify a small team's impact.
Key Responsibilities
  • Turn Insights into Action: Partner with our data analyst, tech team, and marketing to convert customer behavior and cart abandonment data into automated retention workflows.
  • Retain & Expand: Drive repeat business, digital portal adoption, and lifetime value (LTV).
  • Protect Margins: Use data to systematically eliminate revenue leakage, bad discounts, and unnecessary refunds.
  • Account Segmentation: Tier clients to scale outreach via automated systems rather than manual labor.
  • Fuel the Pipeline: Spot organic expansion opportunities in the data and collaborate with Marketing on targeted campaigns.
Tech, Automation & AI Integration
  • CRM Optimization: Build and manage workflows, custom modules, and automated triggers.
  • AI

    Roadmap:

    Partner with Marketing, IT, and Customer Care Manager to build adaptive onboarding forms, smart clarification questions, and dynamic pricing.
  • Omnichannel Handoffs: Ensure data from AI chat assistants flows seamlessly to frontline staff without losing context.
Campaigns & Team Leadership
  • Feedback Loops: Optimize automated feedback loops (e.g., driving regional referrals in TX).
  • Team Leadership: Manage and mentor a small group of hybrid & remote customer success staff.
  • Training & Talent: Work with the Customer Care Manager to train Customer Care teams on CRM/AI tools; identify structural gaps and hire to support scaling workflows.
Job Requirements & Qualifications
  • Experience: 3+ years in Tech Enabled Customer Success, Operations, or Rev Ops—ideally within E-commerce, B2B digital marketplaces, or tech-enabled distribution.
  • CRM Power-User: Advanced capability in CRMs (Zoho or Hub Spot are ideal) (specifically designing workflows and cross-departmental triggers).
  • E-Commerce Tech: Familiarity with modern platforms (Adobe Commerce/Magento is a major plus).
  • Data Fluency: Proven ability to define data needs and convert database inputs into actionable, automated retention workflows.
  • Mindset: A strict preference for building scalable systems over manual relationship management.
Benefits & Logistics
  • Comprehensive Benefits: Medical, Dental, Vision, Short Term Disability, Life & Accidental Death & Dismemberment, Supplemental Health Insurance, Wellness Program, Employee Discount Program.
  • Financial & Time Off: 401k, Paid Time Off.
  • Growth Opportunities: Organized team events, professional development, and clear career growth paths.

This is a full-time position (40 hours per week, occasional overtime) with a typical schedule of Monday-Friday, 8 AM - 5 PM. This role reports to the CEO.

Note:

Lab Alley uses E-Verify for all positions and conducts background checks.

Lab Alley is an equal opportunity employer and considers all applicants for all positions without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by law.

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