Business Development Manager

  • Full Time
  • Washington DC area
  • No. of Vacancies: 2
  • Experience: 1 - 3 Year
  • Posted 2 years ago

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)?
GAIIFF is seeking a Sr. Business Development Manager (BDM) for business and portfolio. The BDM will be responsible for developing and deploying go-to-market strategies across geographies and industries. The BDM will research, define, build and deploy effective and targeted programs to accelerate broad based sales and business development activities for artificial intelligence services. The BDM 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 BDM 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 BDM 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 BDM 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 BDM 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, market 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 Market 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 a.i. 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 of new technology into global markets. 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.


Roles & Responsibilities

  • Facilitate early-stage GTM research for advances in AI Services, identifying Route to Market options, vetting out and documenting requirements to entry for various market segments of interest
  • Building a strategic, long term GTM for execution in markets across all 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
  • Define, build and deploy enterprise focused sales and business development campaigns around our AI offerings.
  • Dive deep across product, marketing and technical communities to validate the market strategy and relative requirements for early maturity services.
  • Establish mechanisms to measure and track metrics related to development of portfolio companies, and execute improvements to the approach based on those measurements.

Basic Qualifications

  • 2+ years of business development, enterprise sales, strategic partnerships, or program/product management experience.
  • Experience developing, launching, managing and deploying AI or ML products.

Preferred Qualification

  • Experience launching AWS services, and developing cloud products in their first year of life.
  • Demonstrated experience interfacing with data scientists and data engineers 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 market and insights related to cloud computing.
  • Demonstrated ability to conduct market research and GTM/RTM planning.
  • Product launch experience (XaaS preferred).
  • Strong verbal and written communications skills are a must, as well as leadership skills.
  • 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: Retail, Advertising and e-Commerce, Finance.
  • Consulting or change leadership roles within enterprise organizations.
  • Experience with machine learning workloads on cloud, particularly with pre-trained or applied a.i. sciences

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