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Product Manager- Revenue Platforms​/Revenue Operations Manager

Job in Semarang, Indonesia
Listing for: Demandlane
Full Time position
Listed on 2025-12-11
Job specializations:
  • Business
    Data Analyst
  • IT/Tech
    Data Analyst, Data Science Manager
Job Description & How to Apply Below
Position: Product Manager- Revenue Platforms / Revenue Operations Manager

Product Manager
- Revenue Platforms / Revenue Operations Manager

We’re hiring a Revenue Operations Manager (Indonesia - Remote) with strong experience in a Revenue Ops, Product Ops, Lead Operations, or Growth Operations role coming from a good Lead Generation company background.

Hands‑on experience managing API‑based integrations (e.g., REST, webhook posts), ability to write and debug automation workflows (e.g., Zapier, Make, or n8n); strong command of spreadsheets, data wrangling, and metrics tracking; analytical thinker who can interpret performance data and act on it.

About Us

Demandlane is a Silicon Valley based company focused on case acquisition for lawyers. Specifically, we focus on mass tort case acquisition, leveraging AI to improve case acquisition. We have a team of senior product, marketing, and engineering leaders from Silicon Valley, India, Indonesia, Nigeria and Romania with proven experience in launching successful products. We provide a fast‑paced environment, work on many exciting problem areas, offer opportunities to learn and grow, and offer excellent pay based on performance.

We are a remote‑first team spread across many cities in India, Romania, Indonesia, Nigeria and the US.

Responsibilities
  • Buyer Management & Lead Routing
    • Manage daily/weekly lead caps for buyers to maximize revenue and quality.
    • Build and maintain logic trees for lead grading and routing (e.g., grade A to buyer X, overflow to buyer Y).
    • Monitor buyer response quality, rejection trends, and conversion rates.
    • Prioritize high‑performing buyers and work with the sales team to sunset underperformers.
    • Coordinate with internal stakeholders to onboard new buyers or update parameters.
    • Work with Finance to assist in generating and validating weekly invoices for lead delivery.
    • Maintain internal tracking sheets or automated dashboards of buyer revenue.
    • Flag revenue discrepancies, disputes, or missed caps and ensure timely resolution.
    • Support Sales and Product Ops in forecasting and pacing lead traffic for revenue planning.
  • Integration & Technical Operations
    • Own the end‑to‑end API setup for lead posting to buyers, including testing, QA, and documentation.
    • Work with internal automation tools (e.g., Zapier, n8n) to create or enhance workflows.
    • Troubleshoot posting failures, rejection reasons, and work with buyers to resolve them quickly.
    • Maintain a central knowledge base or playbook of integrations and schema versions.
  • Quantitative & Statistical Analysis
    • Analyze lead‑to‑revenue trends across campaigns, lead sources, and buyer segments.
    • Run experiments (e.g., alternate routing logic, traffic pauses, pricing thresholds) and assess impact.
    • Use analytical tools (Excel, Google Sheets, SQL, or Looker/Tableau) to build internal visibility into performance.
    • Recommend optimizations to improve RPM (revenue per 1000 leads) and lead utilization.
  • Required Skills
    • 4+ years of experience in a Revenue Ops, Product Ops, Lead Operations, or Growth Operations role.
    • Hands‑on experience managing API‑based integrations (e.g., REST, webhook posts).
    • Ability to write and debug automation workflows (e.g., Zapier, Make, or n8n).
    • Strong command of spreadsheets, data wrangling, and metrics tracking.
    • Analytical thinker who can interpret performance data and act on it.
    • Exceptional attention to detail with a bias for operational excellence.
    • Clear and professional communication skills for both internal and buyer‑facing conversations.
    Nice to Have
    • Experience in lead generation, affiliate marketing, or pay‑per‑lead businesses.
    • Knowledge of SQL and data visualization tools (Looker, Tableau, Metabase).
    • Prior involvement in revenue forecasting, pacing, or financial ops.
    • Familiarity with call center operations, lead scoring models, or lead resale frameworks.
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