- Bachelor's degree or equivalent
- 3+ years of business development, partnership management, or sourcing new business experience
- Degree in a highly quantitative field (Computer Science, Machine Learning, Operations Research, Statistics/ Math etc.) or equivalent experience.
- Go-to-market experience in driving adoption of new products/ services/ features across a large customer base with demonstrable results delivered.
- Experience in managing multiple initiatives simultaneously (campaigns, projects, launches etc.) working across multiple functional teams (Product, Marketing, SAs, Specialist Sellers).
- Experience managing, tracking, and communicating subjective and objective business performance, risks and projections.
- Experience in advocating on customers behalf by understanding their pain points, helping customers navigate through technology options and adoption challenges, and conveying insights back to product teams.
Are you energized to drive adoption of generative AI and machine learning technologies at AWS customers and service evolution of these technologies with AWS Service leadership? Are you passionate about building new businesses? AWS is seeking a Go-To-Market (GTM) Specialist to drive business development efforts to scale world-wide adoption of key components of AWS AI/ML platform. As GenAI/ML Specialist you will be responsible for defining, building and deploying targeted programs to accelerate worldwide adoption of SageMaker AI.
The ideal candidate will possess outbound product management or business development experience in machine learning, deep learning, or generative AI. They will have experience in driving engagements and interactions directly with customers at large enterprises and technology partners. The candidate will have technical knowledge and business experience to communicate the benefits of using managed ML/Deep Learning/GenAI services to ML platform engineering, data science and business intelligence teams at Manager and Director levels at our customers. Finally, the candidate will have experience in, and be passionate about executing scalable programs that apply holistic, business problem-driven approaches to selling to enterprises and enterprise partners.
Key job responsibilities
Be the outward face of AWS generative AI and machine learning by defining and executing go-to-market activities for Amazon SageMaker. You will be working hand-in-hand with AWS generative AI and machine learning Solution Architects, Product Managers and Marketing Managers to run world-wide sales plays and campaigns that target specific customer cohorts and drive specific use-cases and service capabilities. You will be engaging directly with customers’ business stakeholders on a daily basis to understand their needs in generative AI and machine learning and help them adopt the right Service capabilities. Your work will drive the process that regional AI/ML presales and account teams will follow to accelerate sales and partner engagements of the AWS ML Services portfolio and you will synthesize data and information gathered from these customers and partners into your GTM strategy to successfully scale service adoption. This entails developing and driving messaging with pre-sales and sales teams, garnering impactful customer and market insights, communicating those findings to product teams. This also involves educating and enabling regional AI/ML presales and AWS account teams to drive effective sales plays and campaigns to accelerate worldwide adoption of AWS ML Services.
A day in the life
The candidate will drive outbound product management and business development for deep learning and generative AI. They will drive engagements and interactions directly with customers at large enterprises and technology partners. They will utilize their technical knowledge and business experience to communicate the benefits of using SageMaker AI to ML platform engineering and data science teams with Managers and Directors of these teams. They will work with a technology ecosystem of generative AI and machine learning vendors, partners and customers, to execute on the GTM strategies. They will build consensus across multiple functional teams (Product, Marketing, SAs, Specialist Sellers) by driving scalable programs that apply holistic, business problem-driven approaches to selling to enterprises and enterprise partners.
About the team
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
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
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.
- 3+ years of product management, business development and/or global technical pre-sales roles at B2B companies (Enterprises, Startups, Management consulting or System Integration Services Companies, preferably in ML, AI).
- Experience in driving adoption of complex product portfolios with price, performance tradeoffs and communicating it to field teams and customers.
- Experience driving outbound product management, business development and/or technical pre-sales for end-end solutions consisting of several products/services.
- Technical/business background in deep learning / generative AI.
- Publications or presentation in recognized deep learning / generative AI journals and/or conferences
- MBA
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $83,100/year in our lowest geographic market up to $177,800/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. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
