SEM Lead

Job Summary

The SEM Lead will design, govern, and execute the global Google Ads Search infrastructure for Labhouse's app ecosystem. This technical leader will manage budget allocations, design intent-based keyword structures, refine Smart Bidding conversion signals, write custom scripts or data queries, and collaborate cross-functionally with Product and Data teams to align search traffic directly with LTV, CAC, and bottom-line profitability targets.

Qualification

Candidates must possess the following foundational academic, quantitative, and communication profiles:

• Academic Foundation: Bachelor’s degree in Marketing, Business Administration, Economics, or a related field. An advanced technical background in Engineering, Data Science, Mathematics, or equivalent heavily quantitative disciplines is highly valued.
• Analytical Capability: Advanced quantitative literacy with a proven ability to independently build lookback dashboards, write automation scripts, and interact directly with raw operational data.
• Linguistic Skill: Good level of spoken and written English, with the capacity to translate complex data anomalies into clear, scannable insights for interdepartmental teams.

Experience

Candidates must demonstrate deep, hands-on technical proficiency across Google Search ecosystems, attribution modeling, and automated environments:

Core Search Technical Mastery

• Expert Google Ads History: Deep, verifiable, hands-on experience architecting and scaling complex Google Ads Search accounts from the ground up.
• Structural Intent Segmentation: Complete mastery over account architecture, keyword intent grouping, phrase/exact match type interactions, automated search term mining, and negative keyword filtering matrices.
• Signal Engineering: Comprehensive understanding of Google's Smart Bidding algorithms, tracking pixels, server-to-server conversion signals, offline conversion importing, and multi-touch attribution mechanisms.

Business Analytics & Tooling

• Unit Economics Focus: A proven history of evaluating channel health based strictly on hard business metrics—including Customer Acquisition Cost (CAC), Lifetime Value (LTV), and net revenue margins—rather than cost-per-click (CPC) or click-through rates (CTR).
• Data Tech Stack: Practical experience querying, transforming, or visualizing raw data streams using tools like Google Analytics 4 (GA4), Looker Studio, BigQuery, or custom Google Ads JavaScript scripts.
• Multi-Product Portfolios (Preferred): Prior exposure managing performance marketing campaigns within native mobile application environments (iOS/Android) or multi-product subscription portfolios.
• Supplemental Networks (Preferred): Tactical familiarity navigating the Google Display Network (GDN) and managing YouTube Ads conversion campaigns.

Key Responsibilities

Strategic Account Architecture & Scaling

• Own Search Strategy: Architect, deploy, and continuously optimize advanced Google Ads Search frameworks across our entire expanding app portfolio.
• Govern Budget Allocations: Oversee macro budget distribution across active applications, ensuring capital shifts dynamically toward high-yielding, high-LTV user cohorts.
• Maximize Capital Efficiency: Scale campaign volume while safeguarding unit economics, ensuring that bid increases are never treated as the primary lever for growth.

Signal Optimization & Data Engineering

• Refine Algorithm Inputs: Audit and optimize the quality of conversion signals fed into automated bidding algorithms to ensure Google maximizes actual downstream subscription revenue.
• Build Automated Systems: Develop custom dashboards, data automations, or platform scripts to track search terms, minimize budget waste, and surface real-time performance anomalies.
• Deconstruct Data Trajectories: Partner directly with central Data and Analytics teams to extract insights from raw BigQuery logs and GA4 behavior metrics.

Cross-Functional Growth Integration

• Collaborate with Product Teams: Work alongside Product Managers and Engineering leads to align outbound search intent with inbound onboarding flows and feature landing experiences.
• Provide Strategic Transparency: Serve as the central source of knowledge for search metrics within the company, delivering clear performance transparency and strategic recommendations to executive founders.
• Integrate AI Innovations: Participate actively in internal startup testing circles, including exploring the deployment of generative AI features within new product launches.

Skills Required:

• Economics / Statistics
• Sales / Marketing / Business / Management