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 define, build and lead the business development efforts to scale world-wide adoption of key components of AWS AI/ML platform. As an ML Specialist you will be responsible for defining, building and deploying targeted programs to accelerate worldwide adoption of AWS ML Services.

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 the highest levels of large enterprises and technology partners. The candidate will have technical knowledge and business experience to communicate the benefits of using managed ML services in AWS to ML platform engineering, data science and business intelligence teams with Directors, VPs of these teams and with C-Level executives. Additionally, the ideal candidate will have a demonstrated ability to understand complex technology ecosystems (eg. generative AI and machine learning vendors, partners and customers), disambiguate how/why these technologies are built and consumed and bring clarity and direction to Go-to-Market (GTM) strategies and execute on them. Finally, the candidate will have experience in, and be passionate about building consensus across multiple functional teams (Product, Marketing, SAs, Specialist Sellers) to create scalable programs that apply holistic, business problem-driven approaches to selling to enterprises and enterprise partners.

Basic qualifications

• \tDegree in a highly quantitative field (Computer Science, Machine Learning, Operations Research, Statistics/ Math etc.) or equivalent experience.

• \t7+ years of product management, business development and/or technical pre-sales roles at B2B companies (Enterprises, Startups, Management consulting or System Integration Services Companies, preferably in Analytics, IoT, ML, AI).

• \tGo-to-market experience in driving adoption of new products/services/features across a large customer base with demonstrable results delivered.

• \tExperience in managing multiple initiatives simultaneously (campaigns, projects, launches etc.) working across multiple functional teams (Product, Marketing, SAs, Specialist Sellers).

• \tExperience managing, tracking, and communicating subjective and objective business performance, risks and projections.

• \tExperience 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.

Additional Preferred qualifications

• \tExperience in inventing and simplifying the positioning for complex product portfolios with price, performance tradeoffs and communicating it to field teams and customers.

• \tExperience driving outbound product management, business development and/or technical pre-sales for end-end solutions consisting of several products/services.

• \tExperience in aligning goals and objectives and building consensus across multiple functional teams.

• \tExperience coaching and developing other product/business development managers.

• \tTechnical/business background in deep learning / generative AI.

• \tPublications or presentation in recognized deep learning / generative AI journals and/or conferences

• \tMBA

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 define and 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 garnering impactful customer and market insights, developing messaging and solution strategies, communicating those findings to product and sales teams, including senior management. 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.

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

BASIC QUALIFICATIONS

- 7+ years of professional or military experience

- Bachelor's degree

- Experience developing strategies that influence leadership decisions at the organizational level

PREFERRED QUALIFICATIONS

- Experience as a founder or executive focused on related segments, or as a practice leader or business unit owner

- Experience selling to Fortune 1000 or Global 2000 organizations

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $140,800/year in our lowest geographic market up to $262,000/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.

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