Senior Staff SWE, AI Agentic at Moloco

Redwood City, California, United States

Moloco Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AdTech, Machine LearningIndustries

Requirements

  • 8+ years of backend or systems engineering experience, with a proven track record of designing scalable and distributed infrastructure
  • Strong programming skills in Python, Go, Java, or similar languages
  • Experience working with cloud-native systems and ML/AI pipelines
  • Familiarity with orchestration tools, microservices architecture, and real-time data processing
  • Excellent communication and cross-functional collaboration skills
  • Experience working on LLM-based systems, agentic AI, or orchestration of autonomous agents
  • Background in tools for campaign performance, troubleshooting, or optimization
  • Startup or zero-to-one build experience
  • Experience building frameworks that support modular, reusable agent components
  • Passion for turning cutting-edge AI into practical, high-impact solutions

Responsibilities

  • Design and implement scalable, production-grade systems for agentic AI infrastructure
  • Build components including the Prompt Store, Orchestrator/Sequencer, Data Connectors, and Agent Frameworks
  • Enable intelligent agent behaviors to automate decision-making, support reasoning, and reduce time-to-insight for internal and customer-facing workflows
  • Collaborate with product, ML, and data engineering to ensure system integration, performance, and agility
  • Help drive the technical roadmap and influence broader AI strategy at Moloco

Skills

Machine Learning
AI
Cloud Computing
DevOps
Software Engineering
Performance Advertising

Moloco

Machine learning for user acquisition and monetization

About Moloco

Moloco helps businesses in the digital advertising industry acquire and re-engage high-value users by using machine learning and first-party data. Their services optimize advertising efforts based on real-time data, allowing clients to achieve their unique business goals regardless of budget or location. Unlike competitors, Moloco focuses on maximizing the value of every user and delivering outcomes that align with advertisers' objectives. The company's goal is to expand clients' user bases and increase revenue through effective performance advertising.

Redwood City, CaliforniaHeadquarters
2013Year Founded
$186.4MTotal Funding
SERIES_CCompany Stage
Fintech, AI & Machine LearningIndustries
501-1,000Employees

Benefits

Comprehensive health and wellness: Competitive health, dental, vision and life insurance (covered at 100% for you) and your family.
Professional development: Teach yourself something new and get reimbursed each year for your professional development.
Food and snacks: Enjoy lunch on us. We bring lunch in for employees everyday, In addition, our micro-kitchens are filled with healthy snacks and beverages for you to enjoy
Paid parental leave: Our maternity/paternity leave plan also has you covered when you welcome a new child into your family.
Unlimited vacation: We encourage team members to take time off to relax and recharge with our flexible paid time off policy.
Financial benefits: We provide stock options and generous 401k/pension with an employer match that helps you prepare for your future.

Risks

Increased competition from AI-driven platforms like The Trade Desk may erode market share.
Rapid expansion in India may face regulatory and cultural challenges.
Dependence on large partnerships poses risks if these are disrupted or terminated.

Differentiation

Moloco leverages first-party data for precise user targeting and engagement.
The company uses machine learning to optimize advertising campaigns for unique business goals.
Moloco's partnerships with major brands enhance its credibility and market reach.

Upsides

Expansion into India aligns with growing digital ad spend in emerging markets.
Partnerships in streaming services tap into the rising connected TV ad opportunities.
Investment in Topsort positions Moloco in the growing retail media network sector.

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