Product Manager, AI Applications

Posted 8 Days Ago
Be an Early Applicant
Hiring Remotely in Kuwait
Remote
Mid level
Artificial Intelligence • Big Data • Machine Learning
The Data Platform for AI: High quality training and validation data for AI applications.
The Role
Own the end-to-end development of custom AI applications for government and government-backed customers across the Middle East. Lead client workshops, define use cases and roadmaps, build MVPs, coordinate engineering and machine learning teams, evaluate model performance, gather user feedback, and communicate progress to clients and leadership.
Summary Generated by Built In

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:

  • Creating custom AI applications that will impact millions of citizens
  • Generating high-quality training data for national LLMs
  • Upskilling and advisory services to spread the impact of AI

We are looking for an entrepreneurial and experienced product leader to play a pivotal role in the ideation and development of transformative AI solutions for government and government-backed customers across the Middle East. The ideal candidate has deep experience building AI/ML applications, thinks strategically about how to solve a problem, is an excellent listener, is comfortable getting into the weeds, and has a strong understanding of software engineering principles and practices. You will own large AI projects end to end, working directly with customers and leading a cross-functional team of engineers, MLEs, and operators to deliver solutions that drive meaningful impact for our customers and significant revenue for our business.

You will:

  • Lead design workshops with clients to define custom AI solutions
  • Scope new AI application use cases across government entities, and turn them into a clear roadmap, phasing, and success metrics
  • Build MVPs and demos to validate ideas quickly, and take the best of them to production
  • Lead cross-functional development with diverse stakeholders (Engineering, MLE, Operations, and Go-to-Market)
  • Engage consistently with end users to gather feedback and ensure we are prioritizing effectively
  • Scope model evaluation sets and performance requirements, review results, and iterate on the solution
  • Stay up to date with the latest research in applied AI and training custom LLMs
  • Give regular progress updates to the client and Global Public Sector leadership

Ideally, you’d have:

  • 4+ years of experience building products, including 1–2+ years building AI-powered products in production
  • Strong technical background (STEM degree) and/or experience building technical software products
  • Hands-on experience with LLMs and applied AI, and a strong understanding of generative AI in enterprise settings
  • Sharp product sense and customer instinct: the conviction to take a position and defend it, and the judgment to change it when the evidence says so
  • Comfort with client-facing work and the pace and ambiguity of a forward-deployed team
  • Experience with vibe coding tools (e.g., Replit, Lovable, Bolt) and design tools (e.g., Figma, Canva, Miro)
  • Exceptional leadership, presentation, and communication skills, with the ability to influence cross-functional teams

Nice to haves:

  • Proficiency in Arabic, both written and spoken
  • Coding experience (Python)
  • Prior experience as a founder, founding engineer, or forward-deployed PM
  • Experience working with government or GCC customers

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.

About Us:

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 [email protected]. 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. 

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 privacy policy for additional information.

Skills Required

  • 4+ years of experience building products
  • 1–2+ years building AI-powered products in production
  • Strong technical background, including a STEM degree and/or experience building technical software products
  • Hands-on experience with LLMs and applied AI
  • Strong understanding of generative AI in enterprise settings
  • Strong product judgment and customer-focused decision-making
  • Experience with client-facing work in fast-paced, ambiguous environments
  • Experience with vibe coding tools such as Replit, Lovable, or Bolt
  • Experience with design tools such as Figma, Canva, or Miro
  • Exceptional leadership, presentation, and communication skills
  • Proficiency in Arabic, written and spoken
  • Coding experience in Python
  • Experience as a founder, founding engineer, or forward-deployed product manager
  • Experience working with government or GCC customers

Scale AI Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Scale AI and has not been reviewed or approved by Scale AI.

  • Healthcare Strength — Company materials and third‑party pages describe comprehensive medical, dental, and vision coverage along with mental‑health services and an EAP. Health insurance is portrayed as strong, with options like HSA/FSA and indications of high premium coverage.
  • Leave & Time Off Breadth — Descriptions highlight generous PTO, paid holidays and sick time, bereavement, volunteer time, and role‑dependent flexibility or remote options. This breadth is positioned as part of a supportive time‑off approach, with specifics varying by location.
  • Equity Value & Accessibility — Full‑time offers commonly include equity and an ESPP, which can meaningfully lift total compensation, especially in engineering and senior roles. Job postings and compensation snapshots consistently reference base‑plus‑equity packages aligned with competitive AI market pay.

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The Company
HQ: San Francisco, CA
523 Employees
Year Founded: 2016

What We Do

Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.

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