Applied Science Manager, AWS Startups, AWS Startups

Trusted by more startups around the world AWS makes the power of cloud computing accessible for all by giving founders everywhere access to the same technology that powers the worlds largest companies. With nearly two decades of experience supporting hundreds of thousands of startups including 80% of unicorns we democratize cloud computing to help founders bring their innovative ideas to life.

We support founders at every stage of their journey from initial onboarding and credit programs to AI-powered guidance and scale solutions. Data is central to how we do this: it helps us identify high-potential startups early personalize the guidance we deliver and prioritize where we can create the most value for founders and for AWS.

We are seeking an Applied Science Manager to lead a team of applied scientists and analysts building the data and machine learning capabilities behind AWS Startups. You will own the science roadmap end-to-end from the data foundation that unifies signals about founders startups and their products through a portfolio of machine learning models to the surfaces that put insights in the hands of the teams and products that serve startups. You will balance hands-on technical leadership with people management setting the technical bar for your team while developing their careers.

Key job responsibilities
Lead coach and grow a team of applied scientists business intelligence engineers and business analysts; hire and develop talent and set a high technical bar.

Own and prioritize the teams science roadmap across data foundation model development and the delivery of insights into products and internal tools.

Set technical direction for the teams machine learning models and data assets balancing rapid experimentation with production quality cost and reliability.

Scope scientific projects design and evaluate experiments and ensure models are productionized and deliver measurable business impact.

Establish measurement evaluation and operational-excellence standards so model quality and impact are quantified and defensible.

Partner with product engineering design and go-to-market teams to translate science into products and repeatable scalable outcomes.

Communicate strategy results and trade-offs clearly to technical and non-technical leaders through written narratives and business reviews.

Foster a culture of scientific rigor rapid experimentation and operational excellence and proactively identify and escalate risks with clear mitigation plans.

About the team
The AWS Startups team builds innovative products and platforms that support startup customers throughout their journey from initial onboarding and credit programs to AI-powered guidance and scale solutions. Our portfolio serves hundreds of thousands of startup customers globally and we partner with business development field marketing and solutions architecture teams worldwide. We are building the next generation of AI-native products that make world-class cloud expertise accessible to every founder.

- 4 years of applied research experience
- 3 years of scientists or machine learning engineers management experience
- PhD or Masters degree and 4 years of applied research experience
- Experience in several of the following areas: machine learning statistics deep learning natural language processing or information retrieval
- Experience in one of the following programming languages: Java Python Ruby C# or C

- Experience building machine learning models or developing algorithms for business application
- Experience with training and deploying machine learning systems to solve large-scale optimizations or experience operating highly available distributed systems of data extraction ingestion and processing of large data sets
- Experience in delivering results managing a business intelligence or analytics team including employee development and performance management
- Experience operating highly available distributed systems of data extraction ingestion and processing of large data sets or experience with data infrastructures: relational analytic DBMS Elastic-Search and Big Data EMR/EC2/Glue/Lambda
- Experience communicating results to senior leadership or experience using complex financial models KPIs and data analysis to inform strategic business decisions and influence cross-functional stakeholders with proven business impact (e.g. financial savings operational improvements or customer benefits)
- Experience hiring developing and managing high-performing technical teams

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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 183800.00 - 248700.00 USD annually