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Engagement Manager - Hawaii

Scale is looking for an Engagement Manager to enhance customer satisfaction and execute AI/ML solutions for our Public Sector customers, ensuring they become lifelong partners.

Skills

  • Technical background in computer science or related fields
  • Experience in B2B client-facing roles
  • Strong communication skills

Responsibilities

  • Manage customer relationships from executive to end user
  • Oversee onboarding and implementation of accounts
  • Lead cross-functional project teams to meet AI/ML objectives
  • Identify and manage customer risk areas
  • Advocate for operational fixes with engineering teams

Education

  • Bachelor's degree or higher in related fields

Benefits

  • Comprehensive health, dental, and vision coverage
  • Retirement benefits
  • Learning and development stipend
  • Generous PTO
  • Commuter stipend
To read the complete job description, please click on the ‘Apply’ button

Average salary estimate

$141019 / YEARLY (est.)
min
max
$113850K
$168188K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Engagement Manager - Hawaii, Scale AI

As the Engagement Manager for Scale in Hawaii, you'll play a pivotal role in serving our Public Sector customers, primarily based in Oahu. Your mission? Transform these customers into passionate lifetime partners of Scale! Every day will see you juggling various tasks, from crafting account plans to ensuring seamless execution for your clients. It's a position that perfectly blends customer success with technical program management. You'll be at the helm of managing relationships with key customer stakeholders, overseeing the onboarding process, and leading cross-functional teams to meet and exceed AI and ML objectives. Strategic thinking will be your best friend as you identify potential risks and advocate for customer needs with our engineering teams. You should be comfortable engaging with clients on various levels, understanding their operational concerns, and delivering high-value insights to drive our success. If you've got experience in B2B client-facing roles and hold an active Top Secret security clearance, this is your chance to shine. You'll also need a basic understanding of ML Operations, excellent communication skills, and a knack for structured problem-solving. Keep in mind, at Scale, you’ll be rewarded not just with a competitive salary but also with benefits that include health coverage, a learning stipend, and generous PTO. Ready to help drive the future of AI while making a meaningful impact? Join us at Scale, where we believe everyone should bring their whole selves to work and thrive in an inclusive environment.

Frequently Asked Questions (FAQs) for Engagement Manager - Hawaii Role at Scale AI
What are the main responsibilities of the Engagement Manager at Scale?

The Engagement Manager at Scale is responsible for ensuring exceptional customer experiences for Public Sector clients by managing relationships, overseeing onboarding processes, and leading teams to achieve AI/ML objectives. You'll also engage in strategic discussions with customers, advocate for their needs, and identify repeatable solutions to enhance customer success.

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What qualifications are needed for the Engagement Manager position at Scale?

To qualify for the Engagement Manager role at Scale, candidates should have a technical background, ideally in fields like computer science or engineering, along with at least 3 years of experience in customer-facing roles. An active Top Secret security clearance is required, as is a solid understanding of ML Operations processes and great communication skills.

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How does Scale support its Engagement Managers in their role?

Scale invests in its Engagement Managers by providing comprehensive benefits, including health, dental, and vision coverage, a generous PTO policy, and opportunities for professional development. Our team also functions collaboratively to ensure that each Manager has the support they need to succeed with clients.

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What is the travel requirement for the Engagement Manager at Scale?

The Engagement Manager position at Scale requires a willingness to travel at least 25% of the time. This travel is essential for building relationships and effectively managing customer engagements in the Public Sector, ensuring needs are met seamlessly.

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What does the application process look like for the Engagement Manager role at Scale?

The application process for the Engagement Manager position at Scale includes a thorough evaluation of your experience and skills. Post-application, you can expect interviews focusing on technical competencies, customer success strategies, and scenario-based assessments to gauge your problem-solving capabilities.

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Common Interview Questions for Engagement Manager - Hawaii
Can you describe your experience with managing customer relationships in a technical program management role?

In answering this question, focus on specific instances where you've successfully managed relationships, detailing how you navigated challenges, ensured client satisfaction, and contributed to long-term partnerships. Include metrics if available to showcase your success.

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How do you approach onboarding new clients?

Discuss your structured onboarding process, emphasizing communication, training, and support. Highlight a particular success story that illustrates how your onboarding strategy led to a positive customer experience.

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What strategies do you use to identify areas of risk within customer accounts?

Share your methodology for risk assessment, including data analysis and customer feedback. Provide examples of how you've proactively addressed these risks ahead of time, preserving customer relationships and driving success.

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How do you align internal resources to support customer objectives?

Explain your approach to cross-functional collaboration, detailing how you communicate client goals to different teams and ensure that everyone's efforts are directed towards common objectives.

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Describe a time when you had to act as an advocate for a client. What was the situation?

Provide a concrete example that illustrates your advocacy skills, focusing on how you identified client challenges, collaborated with internal teams, and ultimately delivered solutions that benefited the customer.

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What role does data play in your problem-solving process with clients?

Discuss how you leverage data analytics to inform decision-making and solve problems, emphasizing any tools or frameworks you utilize to gather insights and drive improvements.

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Have you ever had to handle an unhappy customer? How did you resolve the situation?

Share a specific scenario where you turned around a negative client experience, detailing your approach to listening, understanding their concerns, and implementing actions that restored their satisfaction.

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What are some best practices for managing multiple customer projects effectively?

Highlight your organizational methods, such as prioritization techniques, use of project management tools, and regular communication with clients to stay updated on progress and needs.

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How do you stay current with industry trends and developments in AI/ML?

Discuss your commitment to continuous learning by engaging with industry publications, attending webinars, and participating in networking events, ensuring you're knowledgeable about the latest advancements that relate to customer industries.

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What do you think is key to fostering long-term relationships with clients?

Emphasize the importance of trust, consistent communication, and delivering value. Provide examples of how you've built such relationships in past roles and the impact they had on your success.

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Inclusive & Diverse
Diversity of Opinions
Dare to be Different
Collaboration over Competition
Maternity Leave
Paternity Leave
Paid Time-Off
Paid Sick Days
Health Savings Account (HSA)
Flexible Spending Account (FSA)
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Resources
Life insurance
Disability Insurance

Scale accelerates AI development by providing the data infrastructure for AI. Its data-centric platform manages the entire ML lifecycle, from data annotation and curation to model testing and evaluation, enabling any organization - from the world'...

33 jobs
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FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$113,850/yr - $168,188/yr
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
April 6, 2025

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