Principal Venture Capital Bd Startups jobs at Amazon in United States, East Palo Alto

As a Principal Investment Manager within AWS, you will work with venture capital firms (or angel investors) to accelerate portfolio company success. You'll work closely with key investors to unlock the full potential of their portfolio companies on AWS, enabling faster innovation and scaling. Your role focuses on creating meaningful initiatives between the investors, helping startups leverage cloud to achieve breakthrough growth. You'll combine deep technical understanding of cloud and emerging technologies, such as generative AI with business acumen to identify opportunities and ensure startups have access to the tools, expertise, and support needed to build world-changing products on AWS infrastructure.Key job responsibilities
Design and implement solutions that address specific startup and investor needsTrack program effectiveness and provide insights based on feedback and resultsAbout the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.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

- 10+ years of experience in technology industry with focus on startups, ideally in combination with technical leadership roles
- Deep understanding of cloud computing architectures, services, and best practices and knowledge of generative AI technologies
- Ability to evaluate and guide early-stage and scaling companies
- Demonstrated success developing and executing business initiatives that drive measurable outcomes
- Bachelor's degree in technical or technical management field or equivalent experience

- Advanced degree (MBA or technical)
- Leadership experience at startups or at Venture Capital firms
- Experience building and scaling cloud-native applications from ground-up
- Strong analytical and technical assessment capabilities
- Experience with commercial aspects of fast-growing technical businesses
- Demonstrated ability to understand and evaluate emerging technologies
- Experience in multiple technical domains (AI/ML, Security, Infrastructure)

Key job responsibilities
• Manage a team of Business Development Managers, including hiring and developing your team
• Drive revenue, adoption and market segment share for our product
• Earn trust of customers and recommend product solutions that fit their business needs
• Measure performance, articulate root-cause analysis and make recommendations for improvement areas
• Relay market needs and customer feedback to internal Amazon teams including Product Management and Technical
• Create program goals and metrics, track progress and manage through obstacles to achieve your objectives
• Assess risks, anticipate challenges and provide escalation management when necessary
• Meet or exceed targets for customer and/or feature spend adoptionA day in the life

- 10+ years of building and leading large teams and working in matrixed operating structures experience
- Bachelor's degree or equivalent
- Experience working and communicating with multiple stakeholders, C-level executives and cross functional teams or equivalent
- Experience in strategic thinking about business, enterprise software products, and new technology platforms and architectures or equivalent

- 5+ years of managing and developing high performance teams experience

As a leader in the Data Center Capacity Delivery (DCCD) organization, you will research, develop, and ensure meticulous and timely delivery of our Data Centers. Principal Commissioning Engineers are hands-on, producing both detailed technical work and high-level program designs and process frameworks. They will aid in establishing testing methodologies, drive standardization, and increase quality across all AWS building sites.The successful candidate will have extensive experience in commissioning, program development and sustainment, and cross-functional collaboration. They must have a proven record of leading commissioning programs on large-scale critical infrastructure deployments, including Quality Control (QC), Startup, Functional Performance Testing (FPT), Integrated System Testing (IST), and cost- and schedule-mitigating measures. This position requires excellence in a fast-paced environment and the ability to manage concurrent responsibilities while supporting parallel initiatives.You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Key job responsibilities
* Serve as the Subject Matter Expert (SME) for electrical systems and the commissioning program for AWS leased/owned data centers
* Lead and support AWS pre-construction and construction management teams for new data center design and process improvement
* Lead and support AWS product teams and Principal Engineering for new data center design, new products, and product enhancements
* Lead and support reviews of design specifications, testing requirements, and test procedures and standards for adherence to commissioning specifications
* Lead and support workshops that drive alignment on key issues, construction practices, data center designs, and initiatives with the focus of increasing the effectiveness of construction and commissioning while enhancing customer experience and operational excellence
* Assist in Development and delivery of technical training programs for commissioning teams, to ensure consistency in procedures and knowledge transfer
* Conduct regular quality assurance audits of commissioning processes, documentation, and field execution to maintain high standards and identify areas for improvement
* Lead Correction of Errors (COE) investigations, root cause analysis (RCA), and implementation of preventive measures to enhance system reliability and operational efficiency
* Participate in technical interviews for commissioning team members and contractors, ensuring the selection of qualified personnel aligned with AWS standardsAdditional Job Requirements
· Ability and willingness to travel domestic and internationally for up to 50% of the year.
· Required to provide personal transportation for meetings and job visits away from the office; reimbursed.Amazon 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.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.

- Bachelor’s degree in Electrical/Mechanical Engineering or equivalent, or relevant discipline work experience
- 7+ years’ experience directly related to the commissioning/startup of data centers/critical infrastructure or large-scale, utility systems, mechanical and electrical plant and experience with large infrastructure project execution.
- Strong understanding of construction processes, mechanical and electrical systems, and commissioning methodologies.
- Knowledge of industry standards/best practices related to Commissioning.
- Strategic thinking and long-term vision for technical direction

- Experience carrying design concepts through exploration, development, and into deployment or mass production

We are looking for technical builders who love the idea of working with early stage startups to help them as they grow. In this role, you’ll work directly with a variety of interesting customers and diagnostics startups) and help them make the best (and sometimes the most pragmatic) technical decisions along the way. You’ll have a chance to build enduring relationships with these companies and establish yourself as a trusted advisor.As a member of the Generative AI Startups team, you will work directly with customers to help them successfully leverage AWS technology to develop, train, tune, and deploy the next generation of generative AI foundation models at scale.As well as spending time working directly with customers, you’ll also get plenty of time to learn new technologies and keep your skills fresh. We have 200+ services across a range of different categories and it’s important that we can help startups take advantages of the right ones. You’ll also play an important role as an advocate with our product teams to make sure we are building the right products and features for the startups you work with. And for the customers you don’t get to work with on a 1:1 basis you’ll share knowledge more broadly by working on technical content and presenting at events.Key job responsibilities
-Help a diverse range of generative AI-focused startups to adopt the right architecture at each part of their lifecycle
-Support startups in architecting scalable, reliable and secure solutions
-Establish and build technical relationships within the startup ecosystem, including accelerators, incubators and VCsA day in the life
About the team
Diverse Experiences
Amazon 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
Work/Life BalanceMentorship and 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.

- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience

- 5+ years of infrastructure architecture, database architecture and networking experience
- Experience working with end user or developer communitiesPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

As a Principal Scientist in Sponsored Products, you will have deep subject matter expertise in the area of ML and GenAI models for ranking and retrieval systems. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. You will invent new product experiences that enable our shoppers to easily navigate our vast inventory either via search queries, multi-turn conversations, or other modes of input. You will liaise with internal Amazon partners and work on bringing state-of-the-art models to production in the retrieval and relevance ranking models used in Sponsored Products. You will stay abreast of the latest developments in the space of AI/ML/GenAI modeling and identify opportunities to improve the efficiency and productivity of the team. You will define a long-term science vision for our advertising business, driven by our customer’s needs, and translate it into actionable plans for our team of applied scientists, and engineers.Key job responsibilities
- Your influence scientific and engineering methods across all of Sponsored Product and Sponsored Brand.- You are a role model and help grow other scientists in the organization.- You have deep and broad expertise in Artificial Intelligence and GenAI. You draw from scientific and industrial maturity to make strategic judgement calls.- You have 10+ years of research experience after a PhD degree.

- PhD or equivalent in Computer science/Math or related field.
- Experience in building complex, real-time systems using GenAI, with successful delivery to customers.
- Computer Science fundamentals in data structures, algorithm design and complexity analysis.
- Ability to develop machine learning platform strategy in the domain of recommender systems.
- Ability to develop a GenAI strategy for recommender systems.

10+ years of relevant, broad research experience after PhD degree or equivalent.
Deep expertise and knowledge of Generative AI methods involved in pre/post training, LLM optimizations for performance and throughput.
Proficiency in programming for algorithm and code reviews.
Strong core competency in mathematics and statistics.
Track record of successful projects in algorithm design and product development.
Publications at top-tier peer-reviewed conferences or journals.
Experience with mentorship and/or management of senior scientists and engineers.
Effective verbal and written communication skills with non-technical and technical audiences.
Experience working with real-world data sets and building scalable models from big data.
Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements.
Ability to take a project from requirements gathering and design to actual product launch.

Key job responsibilities
The Principal Applied Scientist in Advertiser Guidance team will lead 50+ builders in pioneering a new generation of agentic AI applications for Amazon advertisers. You will define and lead the science roadmap of developing agentic experiences for recommendations and guidance delivered to +1.6MM Sponsored Products and Brand advertisers across multiple channels (Ad Console, Sales-managed, and 3P partners).You will work at the forefront of applied AI, developing methods for fine-tuning, reinforcement learning, and preference optimization, while helping create evaluation frameworks that ensure safety, reliability, and trust at scale. You will work backwards from the needs of advertisers—delivering customer-facing products that directly help them create, optimize, and grow their campaigns.As a Principal Scientist, you will play a critical role in elevating the team’s scientific and technical rigor, identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling. You will communicate learnings to leadership and mentor and grow Applied AI talent across the Ads Org.

- PhD in Computer Science, Statistics or related field.
- 5+ years of applied ML experience in building customer-facing recommender systems involving AI, ML, and NLP.
- Hands-on experience with designing and prototyping AI solutions for real world applications.

- Research publications or patents in generative AI technologies
- Experience with natural language processing and generative model architectures
- Background in advertising technology or e-commerce platforms
- Demonstrated track record of innovative AI solution development

As a Senior Startup Investor Manager within AWS, you will partner with venture capital firms and angel investors to accelerate portfolio company success. You'll work with key investors to help unlock the potential of their portfolio companies on AWS, enabling faster innovation and scaling. Your role focuses on supporting meaningful initiatives between the investment community and AWS, helping startups leverage cloud to achieve breakthrough growth. You'll combine technical understanding of cloud and emerging technologies, such as generative AI, with business acumen to identify opportunities and ensure startups have access to the tools, expertise, and support needed to build world-changing products on AWS infrastructure.Key job responsibilities
• Support and execute initiatives with venture and angel firms, contributing to investor-focused programs that accelerate portfolio company success• Implement solutions that address specific startup and investor needs• Collaborate on cross-functional initiatives involving AWS Startups, Sales, Marketing, and Product teams• Monitor program effectiveness and provide feedback based on results• Collect early-stage market signals from investors and founders to support AWS innovation and help meet the evolving needs of tomorrow's breakthrough companies• Evaluate technical and business potential of startups through understanding of their architecture, technology stack, and market opportunity• Serve as technical advisor to portfolio companies, helping them optimize their cloud architecture and go-to-market approachAbout the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.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

- 7+ years of experience in technology industry with focus on startups, ideally in combination with technical roles
- Strong understanding of cloud computing architectures, services, and best practices and familiarity with generative AI technologies
- Experience supporting business initiatives that drive measurable outcomes
- Understanding of technical patterns and architectures for workloads relevant to startups
- Bachelor's degree in technical or technical management field or equivalent experience

- Advanced degree (MBA or technical)
- Experience at startups or venture capital/angel firms
- Experience building and scaling cloud-native applications from the ground up
- Strong analytical and technical assessment capabilities
- Experience with commercial aspects of fast-growing technical businesses
- Ability to understand and evaluate emerging technologies
- Experience in multiple technical domains (AI/ML, Security, Infrastructure)