Software Development Manager, GTM AI Tooling, Specialist Technology Team
Amazon
- Location
- Onsite (Jersey City, New Jersey · Austin, Texas · Seattle, Washington · New York, New York · Houston, Texas)
- Compensation
- $184k - $275k/yr
- Employment
- Full-time
- Level
- Senior Level
Posted 1 day ago
About the role
AWS Specialist Technology Team is seeking a Software Development Manager to lead the engineering team building AI-native, agentic solutions that transform AWS Go-To-Market strategies. You will architect production-grade AI systems and drive the development of the Specialist Knowledge Vault and recommendation engines to impact thousands of field team members.
Skills
Software development management
Generative AI
Agentic AI
LLMs
RAG
Multi-agent orchestration
Software architecture
Technical leadership
Product strategy
Cloud computing
Sales enablement
Knowledge management
Team development
Operational excellence
System design
Stakeholder management
Benefits
- Health insurance
- Dental
- Vision
- 401(k)
- Paid time off
- Parental leave
- Life insurance
Perks
- Restricted stock units
- Sign-on payments
Full job details
AWS Specialist Technology Team (STT) is seeking a Software Development Manager to lead the Specialist GTM AI Tooling engineering team, the group building AI-native, agentic solutions that are fundamentally transforming how AWS Go-To-Market (GTM) teams turn customer opportunities into sales plays, and how those plays reach thousands of AWS field team members in the tools where they already work. If you want to build production agentic AI systems that impact thousands of users daily (not research prototypes, but real AI agents solving real problems), this is the role for you.
You will own and grow a team of Software Development Engineers responsible for building brand new and enhancing existing products that collectively connect AWS's go-to-market strategy to field execution:
- Specialist Knowledge Vault (SKV) - An AI-first knowledge service that uses purpose-built crawlers to index specialist content from a wide range of sources, which removes manual consolidation. SKV lets Technical Field Communities (TFCs) endorse golden content, add agent steering, build reusable playbooks, and flag outdated or incorrect content. SKV powers the AWS Specialist Agent, which more than 11,000 field team members used across nearly 100,000 conversations in its first three months.
- SKV Playbooks for GTM - Your team will own playbooks in SKV and extend them to natively represent GTM sales plays, including positioning guidance for every stage of the sales funnel, so AI agents deliver the right play to sellers with endorsed content and clear provenance. You will build the capabilities that let domain and industry leaders author with AI assistance, draft and test changes before they go live, detect duplicate or conflicting plays, and score playbook health, then migrate AWS's service-aligned GTM domains onto the platform.
- SKV Recommendations Engine - Your team will own the closed-loop AI/ML recommendation service that analyzes agent conversations, telemetry, and customer feedback signals to tell content owners what to fix next: knowledge gaps where the agent had no good answer, and inaccurate or outdated content it should no longer trust. Recommendations become next-best actions, such as updating a playbook, refreshing a first call deck, or creating new solution guidance, which agents can draft automatically for human review.
- Alchemy - The platform where AWS GTM teams capture and prioritize customer use cases and map first-party and third-party solutions to them. Alchemy's taxonomy, data products, and MCP server, which now reaches more than three times as many users as its web interface, provide the structured GTM foundation and downstream integrations that the SKV experience builds on.
This is a high-impact, AI-first leadership role where you will architect agentic systems, ship production GenAI features, and lead a team solving problems at the intersection of knowledge management, agentic authoring, multi-agent orchestration, retrieval-augmented generation, and closed-loop measurement, all at AWS scale, using the very AI services AWS builds for its customers.
Key job responsibilities
- Lead the engineering team that owns GTM playbooks and the recommendations engine within the Specialist Knowledge Vault, along with the Alchemy platform and its integrations.
- Architect and ship production agentic AI systems using LLMs, RAG, MCP, and multi-agent orchestration, delivering endorsed sales plays, assets, and next-best actions to field teams in the tools where they already work.
- Build, manage, and develop a high-performing SDE team, maintaining Amazon's hiring bar while fostering a culture of technical ownership, rapid experimentation, and operational excellence.
- Drive the move of GTM authoring from hand-maintained sales plays to agent-assisted playbooks in KV, with versioning, pre-publish testing, conflict detection, and health scoring that give field teams confidence in AI output.
- Evolve the recommendations engine from identifying knowledge gaps and inaccurate content to recommending and drafting the next best action, using signals such as agent conversations, field adoption, pipeline, and customer feedback.
- Own the technical strategy and roadmap across all products, making trade-offs between speed-to-delivery and long-term platform scalability, in close partnership with the engineering teams that share the KV platform.
- Partner with Product, Science, GTM, TFC, and field leadership to translate ambiguous problems into engineering deliverables, and represent the team in executive reviews with Directors and VPs.
About the team
You will be joining a high-growth engineering organization that is at the forefront of applying generative AI and agentic technologies to transform how AWS GTM teams plan, author, and deliver strategy to the field. The pace of innovation is high, the problems are ambiguous, and the impact is measured by how quickly customer opportunities become sales plays in the hands of thousands of field team members and the pipeline they create. This role offers the opportunity to shape how an entire organization builds, governs, and measures AWS' go-to-market content.
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 3+ years of engineering team management experience
- 7+ years of engineering experience
- 6+ years of leading the definition and development of multi tier web services experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- 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 Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product 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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
USA, NJ, Jersey City - 203,400.00 - 275,200.00 USD annually
USA, NY, New York - 203,400.00 - 275,200.00 USD annually
USA, TX, Austin - 184,900.00 - 250,200.00 USD annually
USA, TX, Houston - 184,900.00 - 250,200.00 USD annually
USA, WA, Seattle - 184,900.00 - 250,200.00 USD annually
You will own and grow a team of Software Development Engineers responsible for building brand new and enhancing existing products that collectively connect AWS's go-to-market strategy to field execution:
- Specialist Knowledge Vault (SKV) - An AI-first knowledge service that uses purpose-built crawlers to index specialist content from a wide range of sources, which removes manual consolidation. SKV lets Technical Field Communities (TFCs) endorse golden content, add agent steering, build reusable playbooks, and flag outdated or incorrect content. SKV powers the AWS Specialist Agent, which more than 11,000 field team members used across nearly 100,000 conversations in its first three months.
- SKV Playbooks for GTM - Your team will own playbooks in SKV and extend them to natively represent GTM sales plays, including positioning guidance for every stage of the sales funnel, so AI agents deliver the right play to sellers with endorsed content and clear provenance. You will build the capabilities that let domain and industry leaders author with AI assistance, draft and test changes before they go live, detect duplicate or conflicting plays, and score playbook health, then migrate AWS's service-aligned GTM domains onto the platform.
- SKV Recommendations Engine - Your team will own the closed-loop AI/ML recommendation service that analyzes agent conversations, telemetry, and customer feedback signals to tell content owners what to fix next: knowledge gaps where the agent had no good answer, and inaccurate or outdated content it should no longer trust. Recommendations become next-best actions, such as updating a playbook, refreshing a first call deck, or creating new solution guidance, which agents can draft automatically for human review.
- Alchemy - The platform where AWS GTM teams capture and prioritize customer use cases and map first-party and third-party solutions to them. Alchemy's taxonomy, data products, and MCP server, which now reaches more than three times as many users as its web interface, provide the structured GTM foundation and downstream integrations that the SKV experience builds on.
This is a high-impact, AI-first leadership role where you will architect agentic systems, ship production GenAI features, and lead a team solving problems at the intersection of knowledge management, agentic authoring, multi-agent orchestration, retrieval-augmented generation, and closed-loop measurement, all at AWS scale, using the very AI services AWS builds for its customers.
Key job responsibilities
- Lead the engineering team that owns GTM playbooks and the recommendations engine within the Specialist Knowledge Vault, along with the Alchemy platform and its integrations.
- Architect and ship production agentic AI systems using LLMs, RAG, MCP, and multi-agent orchestration, delivering endorsed sales plays, assets, and next-best actions to field teams in the tools where they already work.
- Build, manage, and develop a high-performing SDE team, maintaining Amazon's hiring bar while fostering a culture of technical ownership, rapid experimentation, and operational excellence.
- Drive the move of GTM authoring from hand-maintained sales plays to agent-assisted playbooks in KV, with versioning, pre-publish testing, conflict detection, and health scoring that give field teams confidence in AI output.
- Evolve the recommendations engine from identifying knowledge gaps and inaccurate content to recommending and drafting the next best action, using signals such as agent conversations, field adoption, pipeline, and customer feedback.
- Own the technical strategy and roadmap across all products, making trade-offs between speed-to-delivery and long-term platform scalability, in close partnership with the engineering teams that share the KV platform.
- Partner with Product, Science, GTM, TFC, and field leadership to translate ambiguous problems into engineering deliverables, and represent the team in executive reviews with Directors and VPs.
About the team
You will be joining a high-growth engineering organization that is at the forefront of applying generative AI and agentic technologies to transform how AWS GTM teams plan, author, and deliver strategy to the field. The pace of innovation is high, the problems are ambiguous, and the impact is measured by how quickly customer opportunities become sales plays in the hands of thousands of field team members and the pipeline they create. This role offers the opportunity to shape how an entire organization builds, governs, and measures AWS' go-to-market content.
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 3+ years of engineering team management experience
- 7+ years of engineering experience
- 6+ years of leading the definition and development of multi tier web services experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- 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 Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product 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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NJ, Jersey City - 203,400.00 - 275,200.00 USD annually
USA, NY, New York - 203,400.00 - 275,200.00 USD annually
USA, TX, Austin - 184,900.00 - 250,200.00 USD annually
USA, TX, Houston - 184,900.00 - 250,200.00 USD annually
USA, WA, Seattle - 184,900.00 - 250,200.00 USD annually