Amazon
Software Development Manager, Autonomous Agentic Bidding
Amazon, Palo Alto, California, United States, 94306
Software Development Manager, Autonomous Agentic Bidding
We are seeking an exceptional Software Development Manager to lead the Autonomous Agentic Bidding team within the Autonomous Sponsored Products and Brands (SPB) organization in Amazon Ads. This is a high‑impact leadership role at the intersection of artificial intelligence, large‑scale distributed systems, and advertising technology, where you will drive the development of intelligent, hands‑off controls that revolutionize how advertisers achieve their business objectives.
In this position, you will lead a team building sophisticated autonomous bidding systems that process billions of advertising transactions daily across Amazon’s tier‑1 infrastructure. Your team's work directly impacts advertiser success by leveraging highly advanced techniques including predictive modeling, generative AI, control theory, agent‑based reinforcement learning, and advanced optimization methods to automatically adjust bids in real time without advertiser intervention. This autonomous approach enables advertisers to focus on strategy while our systems handle the complex, millisecond‑by‑millisecond bidding decisions that maximize their return on investment.
The technical challenges are substantial: you’ll be architecting systems that must maintain low latency while processing massive scale, incorporating multiple ML models that learn and adapt continuously, and ensuring rock‑solid reliability for a mission‑critical advertising platform that generates significant revenue for Amazon and its advertisers. Your solutions must balance competing objectives—advertiser goals, marketplace dynamics, customer experience, and system constraints—all while operating autonomously with appropriate guardrails and explainability.
Beyond the technical complexity, this role offers the opportunity to shape the future of advertising at Amazon. As autonomous systems become increasingly sophisticated, your team's innovations will define how advertisers interact with Amazon Ads, potentially reducing manual campaign management from hours per week to minutes per month. You’ll be building the foundation for truly autonomous advertising—systems that understand advertiser intent, adapt to market conditions, and deliver measurable business outcomes without constant human oversight.
The ideal candidate brings deep expertise in both machine learning systems and large‑scale distributed computing, combined with proven leadership in building and scaling high‑performing engineering teams. You should be equally comfortable discussing reinforcement learning algorithms with applied scientists, system architecture with senior engineers, and business impact with product leaders. This role requires someone who can balance innovation with operational excellence, move fast while maintaining quality, and inspire teams to solve problems that have never been solved before.
Key Job Responsibilities
Define long‑term vision and product strategy for bidding systems for Sponsored Products and Sponsored Brands
Lead the end‑to‑end architecture, design, and implementation of autonomous bidding systems processing billions of advertising transactions daily with high availability, low latency, and strict SLA requirements
Drive technical decisions around predictive modeling approaches, generative AI integration, multi‑agent reinforcement learning algorithms, control theory applications, and real‑time optimization methods for autonomous bid adjustment
Ensure system scalability, reliability, and performance for tier‑1 production services handling mission‑critical advertising workloads across multiple AWS regions
Establish engineering best practices for ML operations (MLOps), including model training pipelines, A/B testing frameworks, continuous deployment, monitoring, and automated rollback mechanisms
Design fault‑tolerant systems with appropriate circuit breakers, fallback strategies, and graceful degradation to maintain advertiser trust during system anomalies
Balance technical debt with feature velocity, making strategic decisions about when to refactor versus when to iterate
Build, mentor, and grow a high‑performing team of software engineers and applied scientists working on advanced autonomous systems and agentic AI
Basic Qualifications
3+ years of engineering team management experience
7+ years of working directly within engineering teams
3+ years of designing or architecting new and existing systems (design patterns, reliability, and scaling)
8+ years of leading the definition and development of multi‑tier web services
Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
Experience partnering with product or program management teams
Preferred Qualifications
Experience communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
Experience recruiting, hiring, mentoring/coaching, and managing teams of Software Engineers to improve their skills and make them more effective, product‑oriented software engineers
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County Applicants Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Compensation The base pay for this position ranges from $166,400 /year in our lowest geographic market up to $287,700 /year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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In this position, you will lead a team building sophisticated autonomous bidding systems that process billions of advertising transactions daily across Amazon’s tier‑1 infrastructure. Your team's work directly impacts advertiser success by leveraging highly advanced techniques including predictive modeling, generative AI, control theory, agent‑based reinforcement learning, and advanced optimization methods to automatically adjust bids in real time without advertiser intervention. This autonomous approach enables advertisers to focus on strategy while our systems handle the complex, millisecond‑by‑millisecond bidding decisions that maximize their return on investment.
The technical challenges are substantial: you’ll be architecting systems that must maintain low latency while processing massive scale, incorporating multiple ML models that learn and adapt continuously, and ensuring rock‑solid reliability for a mission‑critical advertising platform that generates significant revenue for Amazon and its advertisers. Your solutions must balance competing objectives—advertiser goals, marketplace dynamics, customer experience, and system constraints—all while operating autonomously with appropriate guardrails and explainability.
Beyond the technical complexity, this role offers the opportunity to shape the future of advertising at Amazon. As autonomous systems become increasingly sophisticated, your team's innovations will define how advertisers interact with Amazon Ads, potentially reducing manual campaign management from hours per week to minutes per month. You’ll be building the foundation for truly autonomous advertising—systems that understand advertiser intent, adapt to market conditions, and deliver measurable business outcomes without constant human oversight.
The ideal candidate brings deep expertise in both machine learning systems and large‑scale distributed computing, combined with proven leadership in building and scaling high‑performing engineering teams. You should be equally comfortable discussing reinforcement learning algorithms with applied scientists, system architecture with senior engineers, and business impact with product leaders. This role requires someone who can balance innovation with operational excellence, move fast while maintaining quality, and inspire teams to solve problems that have never been solved before.
Key Job Responsibilities
Define long‑term vision and product strategy for bidding systems for Sponsored Products and Sponsored Brands
Lead the end‑to‑end architecture, design, and implementation of autonomous bidding systems processing billions of advertising transactions daily with high availability, low latency, and strict SLA requirements
Drive technical decisions around predictive modeling approaches, generative AI integration, multi‑agent reinforcement learning algorithms, control theory applications, and real‑time optimization methods for autonomous bid adjustment
Ensure system scalability, reliability, and performance for tier‑1 production services handling mission‑critical advertising workloads across multiple AWS regions
Establish engineering best practices for ML operations (MLOps), including model training pipelines, A/B testing frameworks, continuous deployment, monitoring, and automated rollback mechanisms
Design fault‑tolerant systems with appropriate circuit breakers, fallback strategies, and graceful degradation to maintain advertiser trust during system anomalies
Balance technical debt with feature velocity, making strategic decisions about when to refactor versus when to iterate
Build, mentor, and grow a high‑performing team of software engineers and applied scientists working on advanced autonomous systems and agentic AI
Basic Qualifications
3+ years of engineering team management experience
7+ years of working directly within engineering teams
3+ years of designing or architecting new and existing systems (design patterns, reliability, and scaling)
8+ years of leading the definition and development of multi‑tier web services
Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
Experience partnering with product or program management teams
Preferred Qualifications
Experience communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
Experience recruiting, hiring, mentoring/coaching, and managing teams of Software Engineers to improve their skills and make them more effective, product‑oriented software engineers
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County Applicants Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Compensation The base pay for this position ranges from $166,400 /year in our lowest geographic market up to $287,700 /year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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