Advertising Agent Engineer

Responsibilities

Build data integrations and agent diagnosis for one ad platform, with human approval. 1. Build the data and workflow chain across accounts, campaigns, creatives, budgets, conversions, and costs in real Atoms advertising scenarios. Own integrations, diagnostic logic, launch, and reviews, using ROI, advertising efficiency, and conversion quality to assess results. 2. Integrate one major platform, such as Google Ads or Meta Ads, with internal product data before adding others. Align data definitions and address click IDs, attribution windows, conversion delays, and duplicate conversions. 3. Build monitoring, anomaly detection, and campaign reviews. Analyze CTR, CPC, CPA, CAC, CVR, ROAS, and LTV to provide explainable recommendations and automation for budgets, creatives, campaigns, and advertising strategy. 4. Connect ad traffic with landing pages, registration, activation, and payment outcomes to inform channel comparisons and budget decisions. This role owns advertising data quality, efficiency, and ROI; Growth Engineer coordinates growth across the full funnel and channels. 5. Turn validated advertising workflows into Agent tasks, tools, and interfaces. Establish tiered permissions, approvals, tests, and rollback for high-risk budget and campaign actions, with evaluations and production monitoring.

Qualifications

We welcome engineers experienced in complex platform APIs and data systems, as well as MarTech engineers who understand advertising data and attribution and can build software. You can align inconsistent cross-platform data, validate it, and ship working services. Use Claude Code, Codex, or similar AI coding tools in daily work while owning data accuracy, permission safety, and outcomes. You can read English API and product documentation. 1. Bachelor's degree or above and 3+ years of software development experience. You have independently launched a service, tool, or product from scratch and can explain your contribution, technical decisions, and results. 2. Backend or full-stack skills in at least one of Python, Go, or JavaScript / TypeScript. You can independently build services, APIs, data processing, tests, and deployments. 3. A shipped Agent or LLM application involving several of tool calling, workflows, state management, error handling, evaluation, or production monitoring. Your work goes beyond calling a model API or building a UI. 4. Experience in at least one of these paths: complex third-party APIs, data cleaning, pipelines, or task scheduling with cross-platform data quality challenges; or advertising data, attribution, or MarTech projects combined with independent software delivery. 5. An understanding of CTR, CPC, CPA, CAC, CVR, ROAS, and LTV and how they relate to advertising efficiency, conversion quality, and business results. Manual ad account management is not the core of this role. Nice to have Integration experience with Google Ads or Meta Ads, or work on marketing technology, advertising data, attribution, budget automation, and related safeguards. Show project results or review materials and explain your contribution.

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