Why this role stands out
This role offers an exciting opportunity to develop cutting-edge AI agents for advertising optimization, leveraging LLMs and foundation models to directly impact advertiser success on a rapidly growing platform. You'll thrive here if you're a mid-senior engineer eager to innovate in a dynamic, fast-paced environment recognized for its industry leadership and commitment to solving complex challenges. Apply now to contribute to the future of content intelligence and gain invaluable experience in a unicorn company.
Quick overview
Job description
About NewsBreak
Local life runs on local information. What happened down the street? Who can fix this? Where should we go tonight? NewsBreak started in 2015 to answer these questions, and today more than 40 million people a month rely on us to follow what’s going on in their zip code.
Three platforms with one vision: powering local life. Led by founder and CEO Jeff Zheng, NewsBreak is our local life and news platform; Nearby AI connects people with local businesses; and NDot AI helps publishers and creators grow and earn.
Building for the long term. A $115 million Series C made us a unicorn in 2021, and we keep investing in our people. We’re Great Place to Work® certified and named to Fast Company’s Best Workplaces for Innovators (2025) and Fortune’s Best Workplaces in the Bay Area™ (2026).
Everyone makes an impact. Whether you write code, shape products, tell our story, or run the business, we want people who own projects end to end, stay curious, and speak up. Join us.
Learn more at: NewsBreak, Nearby AI, NDot AI
About the Role
Are you looking to engage in AI Account Management algorithm work as an excellent engineer to join our advertising team? In this role, you will be responsible for designing, developing, and optimizing an AI-driven intelligent account hosting and optimization platform. You will utilize LLMs, Multimodal Foundation Models, and related techniques to build AI advertising expert systems (AI Agents) that run a closed optimization loop — autonomously diagnosing accounts and safely auto-tuning delivery.
Your work will directly lower the delivery barrier for global advertisers on our platform. While ensuring the health and compliance of the account ecosystem, your intelligent operations will maximize advertisers' willingness to spend and platform revenue.
Responsibilities
- Build In-house AI Account Manager System: Own the algorithm and system design for the core "AI Account Manager" — realizing automated hosting, autonomous optimization, and intelligent scheduling of optimization across many advertiser accounts running concurrently.
- Construct Intelligent Diagnosis and Strategy Recommendation Models: Analyze advertisers' performance data and delivery history to assess account health and automatically diagnose delivery pain points (such as inability to scale volume, sudden drops in ROI, or budget capping), then use LLMs to generate and safely execute actionable, auditable account-level tuning strategies.
- Ensure Reliability and Measurable Quality: Build the long-running services, observability, dry-run safeguards, and offline/online evaluation that keep optimization quality measurable and catch regressions before they reach live spend.
- Cross-team Collaboration to Drive Growth: Work closely with the platform-side ad delivery algorithm team and product managers to transform AI account management capabilities into the platform's core commercial competitiveness, improving advertiser retention rate and overall consumption.
Minimal Qualifications
- Education Background: Bachelor's/Master's degree or higher in Computer Science, Artificial Intelligence, Data Science, or related fields.
- Work Experience:
- Possess a basic understanding of fields such as ad delivery platforms or recommendation systems; fresh graduates are acceptable.
- Familiar with building, deploying, and optimizing agentic systems in production environments.
- Strong software-engineering fundamentals: production-quality code, asynchronous/concurrent programming, typed and data-modeled code, and a solid testing discipline.
- Core Technical Stack:
- Master LLMs, RAG, tool-use, memory handling, and agent orchestration (including MCP-style tool ecosystems).
- Hands-on with harness engineering, structured/schema-validated LLM outputs, and integration with modern model APIs.
- Experience with REST/API integration and building reliable long-running services; familiar with modern deployment tools such as Kubernetes.
- Solid grounding in machine learning and AI fundamentals; familiar with advertising or recommendation system concepts.
- Possess excellent analytical and complex problem-solving abilities.
Preferred Qualifications
- Industry Background: Algorithm experience in the field of ad delivery, with more than 2 years applying large-model capabilities to systems such as automated delivery, automated hosting, autonomous tuning, or automatic scheduling.
- AI Production Experience: Experience landing commercial AI agents (agent-based systems), large-model instruction tuning, or multimodal models.
- Business Acumen: Understanding of digital advertising mechanics and core metrics (CPA, ROAS, CVR, CTR, conversions) and of online A/B experimentation.
What We Offer
- Technical Hard Power Born for Monetization: Participate in using the most cutting-edge Generative AI and Agent technologies to reshape the B-end ad monetization ecosystem under internet scale.
- Direct Commercial Impact: Your algorithm and engineering optimizations will directly reflect on the real growth of advertisers and the platform's revenue flywheel.
- Top-tier Computing Resources and Environment: Access to industry-leading foundation models, large-scale computing infrastructure, and opportunities to work side-by-side with world-class advertising, AI, and infrastructure engineers.
Benefits
We offer a competitive benefits package:
- Health, dental, and vision care for you and your family (100% coverage for employee)
- Top-tier 401(K) plan with company matching
- Paid time off and paid holidays
- FSA, HSA and commuter benefits programs
- Team activity budget
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