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Amazon Web Services Global Head of Business Development, Intelligent Search, AI Services Business Development in Virtual, United States

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Job summary

Are you passionate about Artificial Intelligence, Machine Learning, and scalable distributed systems? Are you passionate about developing impactful AI content and effective AI market strategies? Are you passionate about engaging the Artificial Intelligence community (AI researchers, developers building ML-powered products, data scientists and ML entrepreneurs in startups and enterprises)?

AWS is seeking a Global Head of Business Development for Intelligent Search with a specific focus on Amazon Kendra. The candidate will be responsible for developing and deploying go-to-market strategies across geographies and industries. The candidate will research, define, build and deploy effective and targeted programs to accelerate broad based sales and business development activities for artificial intelligence services. The candidate will facilitate the enablement of business development, sales and solution architects with specific customer centric value propositions, directly interfacing with the ML product management and development teams regarding customer and partner requirements. The candidate will work closely across multiple internal and external organizations – AWS Business Development, Sales, Marketing, Partners, and AI communities – to position the AWS AI services for customers and partners, and provide guidance on the value proposition and benefit those customers and partners. The candidate will be directly helping our customers to reinvent their own business models by harnessing the power of AWS machine learning technologies; driving adoption with key customers.

In addition, the Global Head of Business Development will synthesize data and information gathered from these engagements into succinct findings, derive strategic insights, and persuasively communicate findings and perspectives to product and sales teams, including senior leadership. The candidate will conduct market segmentation, market research, and identify strategic paths to entry for those segments, coordinating cross-functional teams around these engagements where appropriate.

The ideal candidate will possess a Technology and Business background that enables them to drive an engagement and interact at the highest levels of large enterprises and partners, as well as dig deep into data science, conduct research and root cause analysis. The candidate will have both the business and technical depth to effectively communicate the benefits of AI services, as well as broader ML technology adoption, from the AWS cloud to IT architects, engineering teams, and C-Level executives. The ideal candidate will have a demonstrated ability to think strategically and long-term about the needs of complex global businesses, the movements of AI/ML Customer Segments, meaningful ways to influence and engage with these market segments, and understand the impacts that these forces have on building pre-trained and applied AI services. The ideal candidate will also be familiar with enterprise grade IT, complex legacy IT environments, managed enterprise IT infrastructure services, Enterprise applications, and would have professional experience in market analysis, customer engagement management, business operations; and have a background that demonstrates success in the introduction and expansion of new technology globally. The ideal candidate will also bring to the role the ability to drive process improvement, work in ambiguous environments, and earn trust across stakeholders and backgrounds.

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Key job responsibilities

  • Facilitate GTM research for AI Services, particularly Natural Language Processing (NLP) technologies. Identifying Route to Market options, vetting out and documenting requirements to entry for various customer segments of interest

  • Building a strategic, long term GTM for execution across industries, cloud adoption stages, skill sets, user bases globally.

  • Identify and nurture relationships with early-adopter customers through all stages of adoption, setting up early-maturity services for a highly productive and efficient flywheel of customer feedback and adoption

  • Engage in internal process improvement and management across a large stream of workloads and stakeholders to optimize early-maturity service adoption and experiences

  • Serve as an evangelist for the AWS AI Services and ML Platform within AWS and externally.

  • Define, build and deploy enterprise focused sales plays and business development campaigns around the AWS AI offerings.

  • Engage, support and scale business development and sales teams across AWS to be capable of delivering the AWS AI value proposition to customers and partners.

  • Dive deep across product, marketing and technical communities to validate the GTM strategy and service relative requirements for early maturity services.

  • Establish mechanisms to measure and track metrics related to development of new AWS AI Services, and execute improvements to the approach based on those measurements.

  • Prepare and deliver business reviews to the senior management regarding the AWS AI Services business.

BASIC QUALIFICATIONS

  • 5+ years of business development, enterprise sales, strategic partnerships, or program/product management experience.

  • 3+ years of experience developing, launching, managing and deploying AI or ML products, hardware and intelligent edge / aiml at the edge

  • Strong verbal and written communications skills are a must, as well as leadership skills.

PREFERRED QUALIFICATIONS

  • Experience launching new SaaS or hardware based cloud services, and developing cloud products

  • Demonstrated experience interfacing with data scientists and product managers successfully.

  • Strong analytical skills, and demonstrated ability to turn detailed data analysis into useful strategic insight in order to drive customer adoption and make appropriate recommendations to the business.

  • Experience with, and detailed knowledge of managed services and insights related to cloud computing.

  • Demonstrated ability to conduct market research and GTM/RTM planning.

  • Product launch experience (SaaS/IaaS/XaaS preferred).

  • Experience developing and deploying GTM strategies for hardware devices - esp. those that are AIML enabled.

  • Demonstrated ability to work effectively across internal and external organizations is key.

  • Experience writing articles (business and technical), speaking at business or technology conferences, or publishing whitepapers / thought leadership content.

  • 5+ years in either SaaS-based adoption or enterprise sales in cloud across hosted and managed services.

  • Solid enterprise negotiation skills, and business and financial acumen.

  • Experience with technology delivery including but not limited the following industries: Financial Services, Insurance, Healthcare & Life Sciences.

  • Consulting or change leadership roles within enterprise organizations.

  • Experience selling to Fortune 1000 and/or Global 2000 organizations.

  • Experience with machine learning workloads on cloud, particularly with pre-trained or applied a.i. sciences

  • Experience with one or more general purpose programming languages, including but not limited to: Java, C/C++, C#, Objective C, Python, JavaScript, Go, Scala.

  • MBA or equivalent relevant business experience.

The base pay range for this position in Colorado is $147,900- $200,009/yr; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.

The pay range for this position in Jersey City is $162,690 - 220,109/yr; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Pay Transparency Regulation of Jersey City Municipal Code. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.

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.

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.

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