Job details
Salary $152,200 - $205,900 a year job type full-time
Full job description
* bachelor`s degree in a technical major (e.g., math, computer science, physics, engineering), or comparable years of experience * several years of experience managing customer relationships for complex, technical products or services to create strategic programs to drive adoption, preferably as a technical account manager, customer success manager, or similar role * proven experience in leading external customer-facing presentations and meetings, such as discovery sessions or requirements gathering and synthesizing those into strategies for technical and business results* proven experience evangelizing technical solutions to drive customer adoption * strong verbal and written communications skills are a must, as well as the ability to listen to the voice of the customer and to work effectively and collaboratively across internal and external teams
Job summary
Amazon web services (aws) is looking for a technical customer success manager who possesses a unique balance of business expertise, artificial intelligence (ai) and machine learning (ml) depth, and strong customer relationship management skillsThis role will work with customers across industries using aws ai/ml to enhance their business or operational outcomes by driving adoption of ml as a business transformation strategy.
Your broad responsibilities include forming long-term relationships with customers focused on broad ml transformation, be their single point of contact, and coordinate delivery of ml services across awsYou should be comfortable managing customer accounts and leading a discussion of complex business concepts with cross-functional groups which can include business executives, line managers, data scientists, as well as it operations resourcesIn addition, you will engage with other aws service teams, solutions architects, business development, marketing, partners and regional professional services organizations to drive a large and highly complex ml transformation strategy (mlts) developed by you in coordination with the customer.
You will evangelize aws ai/ml and be a trusted ml advisor to large enterprise customersYou will enjoy working with customers, listening to their business objectives and translating those into a concrete mlts using aws services that have business impactYou will have a passion for educating and ideating on ml-based solutions for a diverse and challenging set of customer problems across industriesYou will work across mlsl services, mlsl proserve teams, and other teams to guide business outcomes to program deliverables, including production deployed models, an ml operations (mlops) architecture, and greater horizontal and vertical adoption of ml within the customer’s accountYou will also be responsible for collecting metrics about the customer’s long-term business outcomes related to the mlts, creating quantifiable evidence for customers to understand the transformative power of ml.
You will also have a strong understanding of large-scale ai/ml solutions and business transformation with ai/mlThe ideal candidate will have past experience working as technical account manager, customer success manager, ml practitioner, analytics delivery lead, or industry executive and have an appreciation of the advantages of cloud computingYou will enjoy keeping your existing business and ai/ml skills honed and developing new ones, so you can make strong contributions to deep business discussions.
About us
Inclusive team culture
Here at aws, we embrace our differencesWe are committed to furthering our culture of inclusionWe have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globallyWe have innovative benefit offerings, and host annual and ongoing learning experiences, including our conversations on race and ethnicity (core) and amazecon (gender diversity) conferencesAmazon’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.
Work/life balance
Our team puts a high value on work-life balanceIt isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your lifeWe believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillmentWe offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & career growth
Our team is dedicated to supporting new membersWe have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorshipOur senior members enjoy one-on-one mentoring and thorough, but kind, code reviewsWe 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
Ensure customer success in defining and launching an ml transformation strategy to drive ai/ml on the aws platform
Educate customers on the value proposition of aws ai/ml and lead deep business discussions to identify business problems and develop a transformation strategy across technologies, disciplines, and teams to enable broad strategic adoption of ai/ml on aws
Build deep relationships with customer business and technical leaders to enable them to be aws ai/ml advocates
Lead workshops with customer leaders to identify ai/ml opportunities
Author or otherwise contribute to aws customer-facing publications such as read-outs
Act as a business liaison between customers, services, data scientists and support
* the successful candidate will possess both technical and customer-facing skills that will allow him/her to be the technical “face” of aws for the ml solutions labHe/she will be able to develop deep relationship with senior leadership with customers and partners, as well as to interact with and collaborate with software developers, it professionals, data scientists and system architects* graduate degree (e.g., mba, ms, jd, phd) * excellent speaking and presentation skills including formal presentations, white boarding, large and small group presentations, as well as strong writing skills * business understanding of cloud computing the pay range for this position in colorado is $152200 - $205900 per year; however, base pay offered may vary depending on job-related knowledge, skills, and experienceA 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 offeredThis information is provided per the colorado equal pay actBase pay information is based on market locationApplicants should apply via amazon`s internal or external careers siteAmazon is committed to a diverse and inclusive workplaceAmazon 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 statusFor individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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Posted 9 days ago
