Performance Marketing Manager
Location: Hybrid · Category: Marketing & Growth · Seniority: Mid-Level · Posted: September 6, 2026 · Verified: Nov 12, 2026
Role Overview & Description
Track team expansion and market signals for Lebesgue
Polaris7 monitors open roles, strategic market movements, and M&A developments in real time. Get automated intelligence briefings on Lebesgue and benchmark against direct competitors.
Lebesgue
lebesgue.ioAI marketing analytics for e-commerce growth teams.
Unlock full company profile, competitors & live market signals for Lebesgue
Similar Positions in DACH
Related roles across advertising, media, and data
Leads and optimizes paid search (SEM) campaigns across Hong Kong and Taiwan markets, focusing on Google Ads and Microsoft Advertising. Monitors performance, analyzes data, and provides actionable insights to meet strict KPIs, while collaborating with cross-regional teams. Proficiency in Traditional Chinese is required for client communication.
Manages paid search and paid social campaigns for clients, ensuring KPI achievement within budget and timeline. Delivers performance reporting, advocates best practices, and drives process improvements and automation. Requires 12-24 months of Google Ads and Meta Ads experience, strong data analysis, and client-facing presentation skills.
This role manages search performance marketing campaigns, focusing on optimizing paid search strategies to drive client KPIs. It involves keyword research, bid management, and performance analysis to maximize ROI.
This role focuses on performance marketing across Meta, Google, and email/SMS channels. It involves managing paid campaigns, optimizing ROI, and driving customer acquisition through data-driven strategies.
More Positions at Lebesgue
3 more open roles
This Full Stack Developer role focuses on developing and maintaining the core Lebesgue product, collaborating with the Data Science team to build analytics-driven features. The developer will work on both frontend and backend, contributing to a scalable and user-friendly application using Python, FastAPI, React, Next.js, and AWS.
Develop and improve mathematical and machine learning models for e-commerce problems. The role involves implementing models in R and Python and educating customers on online advertising. Requires a degree in a quantitative field and experience with statistical modeling.
Elevate user experience and UI quality for the analytics-driven SaaS product. The role involves building and refining user interfaces, integrating APIs, and contributing to the design system. Requires strong proficiency in JavaScript/TypeScript, React, and modern frontend frameworks.
