At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. 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 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 Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision .
Задачи
Partner with Scale AEs on the customer journey, delivering tailored demos and prototypes according to the customer's requirements
Develop technical domain expertise in Generative AI / large language model applications for Enterprise use cases, including customers in financial services, insurance, SaaS, and similar enterprises
Be accountable for securing the “technical win” by unblocking technical challenges
Interact with customers daily to understand their needs and design solutions to better serve them
Design and develop “Scopes of Work” by breaking down customer challenges into a project plan
Work closely with forward-deployed Software and Machine learning Engineers to develop agents in the initial post-sales stage
Work with AEs and PMs to identify customer-specific feature requests
Drive strategic initiatives to improve the efficiency and effectiveness of the Solution Engineering team
Ideally, you'd have
Strong engineering background with prior experience working with clients in a pre or post-sales capacity to realize business goals
Prior experience developing with Python, Java and/or other web development languages
Experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end-customer engagement
A track record as a self-starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership
Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers
High level of comfort communicating effectively across internal and external organizations
Intellectual curiosity, empathy, and ability to operate with high velocity
Scale plays a vital role in the development of AI applications
Our customer base is growing exponentially, and you will be on the front lines, ensuring that the world's most innovative companies become passionate, lifelong Scale customers
Solutions Engineers partner closely with AEs, Product, and MLEs to lead prospective customers through pre-sales, delivering customized demos and pilots to secure the “technical win”
Solutions Engineers scope customer technical requirements and develop an actionable SOW
They will work closely with the delivery team to help with initial implementation
Solutions Engineers are relentlessly curious about customer needs and pain points
They employ their expert Scale product knowledge and GenAI knowledge to design solutions that best address these needs
Требования
Solutions Engineers are strong relationship builders, great project managers, and provide technical expertise
Будет плюсом
GenAI Experience
Forward deployed engineering experience
Machine Learning Experience
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
PLEASE 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
Условия
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 and may be inclusive of several career levels at Scale
180,000 — $225,000 USD
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История публикации
Появилась в Вакандии30 дней
Перепубликациинетпубликовалась один раз
Проверяли на источникеВидели 30 дней назад
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ГеографияСан-Франциско, СШАвычитано из текста вакансии
Зарплата≈ 10 143 USD в месяцнаша оценка, в вакансии не названа
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Найдено публикаций
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Посмотреть публикации и даты
greenhouseОсновная публикация · 2025-04-22
SA
Работодатель
Scale AI
50 активных вакансий · вилка работодателя указана в 17%
Вакандия показывает вакансию, но не отправляет отклик и не проверяет работодателя. Сам отклик вы оставляете на внешнем сайте — job-boards.greenhouse.io.
Признаки мошенничества
Просят предоплату, «залог» или деньги за обучение и оборудование.
Требуют код из SMS, данные банковской карты или доступ к «Госуслугам».
Быстро уводят в мессенджер и торопят с решением.
Обещают большой доход без опыта и без деталей задач.
Настоящий работодатель не просит денег и платёжных данных до трудоустройства.