Sr. Ai / Ml Specialist Solutions Architect, Latam Startups Team, Aws Wwso Startups, Gtm, Genai

Amazon.Com; Teletrabalho; BRL 160.000 - 200.000; Tempo integral

Resumo da oferta

A leading cloud service provider is seeking a Specialist Solutions Architect to help startups adopt AWS technologies with a focus on Generative AI and other AI/ML workloads. The role involves interacting with startup executives, developing programs that leverage AWS solutions, and delivering technical sessions. Ideal candidates possess a Bachelor's degree and substantial experience in technical management, machine learning, and data-driven storytelling. This position emphasizes work-life balance and career growth.

Serviços

Flexible work environment

Career growth opportunities

Inclusive team culture

Qualificações

• 5+ years management of technical, customer-facing resources.
• 5+ years of hands-on experience with machine learning algorithms.
• 1+ years of hands-on experience with Generative AI.

Responsabilidades

• Interact with startups at the CxO level to ease adoption and develop pipeline.
• Become a trusted advisor through Technical Thought Leadership.
• Collaborate with AWS Product and Technical teams to create solutions.

Conhecimentos

Technical thought leadership

Machine learning algorithms

Generative AI

Data-driven storytelling

Formação académica

Bachelor's degree

Ferramentas

Cloud software

Descrição da oferta de emprego

DESCRIPTION

Are you a customer-obsessed builder with a passion for helping customers achieve their full potential?

Do you have the business savvy, AI / ML and GenAI background and sales skills necessary to help position AWS as the cloud provider of choice for Startups?

Do you love building new strategic and data-driven businesses?

Join the Worldwide Specialist Organization (WWSO) Startup team as a GTM Specialist Solutions Architect!

The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth.

We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses.

WWSO teams include business development, specialist and technical solutions architecture.

As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses.

We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.

The WWSO team helps customers adopt our newest and most advantageous technologies.

We are technology specialists.

The WWSO Startup team is a team dedicated to helping Startups scale quickly and cost-effectively on AWS.

We want Startups to grow better when they choose AWS and we make it easier by recommending the right technologies and then by helping customers get up and running quickly.

This position specifically is part of the WWSO Startup team, where you will be a Specialist Solution Architect that helps Startups adopt AWS' technologies with a focus on GenAI, among other AI / ML workloads.

You will 1 / Be the best storytellers and technologists, 2 / Work with the most promising Startups, 3 / Scale tech knowledge via products, programs, and the AWS Field, and 4 / Gather critical Startup feedback to inform our product roadmaps.

Key job responsibilities

• Interact with startups at the CxO / VP level, as well as with developers and technical architects, to ease adoption, develop pipeline, secure lighthouse customers, drive top-line revenue, and explore strategic partnerships.
• Become a trusted advisor within startup founders through Technical Thought Leadership and demonstrate AWS values.
• Develop and deploy programs that leverage AWS Field Solution Architect teams, as well as technology and consulting partner channels.
• Collaborate with AWS Product and Technical teams to create solutions that solve customer problems, including reference architectures, patterns, automation, and release plan.
• Deliver technical speaking sessions and guided workshops to tech leaders and developers.
• Help to influence product roadmap by communicating the voice of startups internally.

About the team

About AWS

Diverse Experiences

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 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

• Bachelor's degree
• 5+ years management of technical, customer facing resources
• 5+ years of hands-on experience with machine learning algorithms, model development, common frameworks, workflow tools, and applied AI
• 1+ years of hands-on experience with Generative AI

PREFERRED QUALIFICATIONS

• Startup background and experience at a VC or PE-backed firm in a Technical Executive capacity.
• Familiarity with open-source software used by Startups and working knowledge of software development tools and methodologies common to Startups.
• Strong data-based storytelling skills with a high degree of comfort speaking with Startup executives and developers.
• Cloud expertise as demonstrated by one or more cloud certifications.
• Demonstrated ability to adapt to new technol