Engagement Manager, Enterprise
Company: Scale AI, Inc.
Location: Seattle
Posted on: September 4, 2024
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Job Description:
Scale is at the forefront of the AI revolution, working with
some of the largest companies in the world to unlock the potential
of Generative AI models for their business.We are building the
Scale GenAI Platform, a full-stack product to build, test, and
deploy enterprise-ready Generative AI applications, customized with
the customer's own proprietary data.
Scale GP enables customers across industries to rapidly develop and
deploy custom GenAI solutions like:
Content-generation systems that enable sales teams to be more
effective and efficient.
Highly customized wealth management copilots that make advisors
more effective by helping them tap into their knowledge bases
quickly and accurately.
Text2SQL business intelligence applications to make analysts more
efficient and embed a culture of data-driven decision-making.
We are seeking an experienced Engagement Manager to join our team
and play a pivotal role in working with our customers to build and
scale our fast growing product to shape the future of GenAI
adoption in the enterprise space. The ideal candidate will have a
strong understanding of customer management principles and
practices, as well as ideally experience with enterprise software.
You will be responsible for owning customer engagements from
kickoff onwards, and working closely with internal cross functional
teams.
You will:
Work with customer executive leaders to determine and execute the
overall strategy, manage relationships with day to day customer
teams, and drive business impact
Work with leading machine learning, product, engineering, and
business teams at world class companies across industries to help
them build and improve GenAI applications that drive business
value
Partner with the customer team to understand their internal
operations and pain points, and understand where Scale can have the
biggest impact
Oversee customer onboarding, execute business review, and manage
long term health of the customer base
Own day to day delivery and manage project timelines and customer
deliverables
Manage the long-term health of the customer base by identifying and
preempting areas of risk or concern
Create an effective feedback loop between the customer team and
internal product, machine learning, engineering, and go-to-market
teams
Strategically identify ways we can make customer success repeatable
and solve issues for future customers
Ideally you'd have:
4+ years of consulting or customer engagement experience
2+ years of direct technical experience or experience working
closely with engineers on technical projects
Experience operating in a fast-paced environment with high
ambiguity
Exceptional leadership, presentation and communication skills with
the ability to influence cross-functional teams
Strong understanding of generative AI technologies and their
applications in enterprise settings
Nice to have:
Technical degree in computer science, engineering, or related
quantitative field
Working knowledge of SQL and some coding skills (Python)
Compensation packages at Scale for eligible roles include base
salary, equity, and benefits. The range displayed on each job
posting reflects the minimum and maximum target for new hire
salaries for the position, determined by work location and
additional factors, including job-related skills, experience,
interview performance, and relevant education or training. Scale
employees in eligible roles are also granted equity based
compensation, subject to Board of Director approval. Your recruiter
can share more about the specific salary range for your preferred
location during the hiring process, and confirm whether the hired
role will be eligible for equity grant. You'll also receive
benefits including, but not limited to: Comprehensive health,
dental and vision coverage, retirement benefits, a learning and
development stipend, and generous PTO. Additionally, this role may
be eligible for additional benefits such as a commuter
stipend.Please reference the job posting's subtitle for where this
position will be located. For pay transparency purposes, the base
salary range for this full-time position in the locations of San
Francisco, New York, Seattle is:$130,000-$160,000 USDPLEASE
NOTE:Our policy requires a 90-day waiting period before
reconsidering candidates for the same role. This allows us to
ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, we believe that the transition from traditional software
to AI is one of the most important shifts of our time. Our mission
is to make that happen faster across every industry, and our team
is transforming how organizations build and deploy AI. Our products
power the world's most advanced LLMs, generative models, and
computer vision models. We are trusted by generative AI companies
such as OpenAI, Meta, and Microsoft, government agencies like the
U.S. Army and U.S. Air Force, and enterprises including GM and
Accenture. We are expanding our team to accelerate the development
of AI applications.
We believe that everyone should be able to bring their whole selves
to work, which is why we are proud to be an affirmative action
employer and inclusive and equal opportunity workplace. We are
committed to equal employment opportunity regardless of race,
color, ancestry, religion, sex, national origin, sexual
orientation, age, citizenship, marital status, disability status,
gender identity or Veteran status.
We are committed to working with and providing reasonable
accommodations to applicants with physical and mental disabilities.
If you need assistance and/or a reasonable accommodation in the
application or recruiting process due to a disability, please
contact us at accommodations@scale.com. Please see the United
States Department of Labor's for additional information.
We comply with the United States Department of Labor's .
PLEASE NOTE: We collect, retain and use personal data for our
professional business purposes, including notifying you of job
opportunities that may be of interest and sharing with our
affiliates. We limit the personal data we collect to that which we
believe is appropriate and necessary to manage applicants' needs,
provide our services, and comply with applicable laws. Any
information we collect in connection with your application will be
treated in accordance with our internal policies and programs
designed to protect personal data. Please see our for additional
information.
Keywords: Scale AI, Inc., Seattle , Engagement Manager, Enterprise, Executive , Seattle, Washington
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