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Field Engineer, Public Sector

Negotiable

As a Field Engineer on our federal AI projects, you'll work directly with our largest public sector customers to make sure their experience with Scale's technology is smooth and successful. You'll help these customers build production-grade data pipelines, working closely with our Product, Engineering, and Operations teams. This means learning each customer's use cases in depth and building the tools and documentation they need to grow. The role sits at the intersection of customer delivery, product, and engineering. The ideal candidate is a generalist software engineer who enjoys working with clients, takes ambiguous problems and turns them into practical solutions, and collaborates closely with Product and Engineering along the way. An active TS/SCI clearance is required. What You'll Do - Build end-to-end data integrations that sync customer data to and from Scale's platform - Work with customers' engineering teams to optimize data pipelines, including input on API endpoint design and input/output schemas - Design and maintain playbooks, internal tools, documentation, and SDKs that set customers up for long-term success - Partner with engineers and Operations to resolve technical blockers, debug delivery issues, and own technical escalations from customers - Own the customer's technical experience throughout their time with Scale - Work with Account Executives and Product Managers to identify customer-specific feature requests - Develop expertise in large language models, 2D image annotation, and API integrations - Represent Scale and engage with customers at major events What We're Looking For - Experience as a customer-facing engineer or in a similar hybrid role - Hands-on technical experience working with clients in a pre- or post-sales capacity - Development experience with Python, JavaScript, or other modern languages - A strong engineering background, ideally in computer science, mathematics, or another quantitative field - Strong project management and interpersonal skills - The ability to present credibly to both executives and front-line engineers - Comfort communicating across internal and external teams - Intellectual curiosity, empathy, and the ability to move quickly Nice to Have - Experience in AI - Experience working in classified environments - Prior experience as a technical go-to-market resource - Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and CI/CD - Hands-on experience with Kubernetes and Helm charts - Experience automating infrastructure with Ansible or similar tools 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; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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. The base salary range for this full-time position in the location of Washington DC/Hawaii is: $180,550 - $226,550 USD The base salary range for this full-time position in the location of St. Louis/Suffolk is: $150,400 - $188,000 USD 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 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 . 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.

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Field Engineer, Data Engine

Negotiable

Scale AI is seeking a highly skilled and motivated AI Data Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows. You will: - Be open to >50% onsite work in a secured space. - Collaborate with cross-functional teams to define and execute the vision for data pipelines and agents. - Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back. - Deploy and maintain Scale software at customer sites. - Develop customer requested features and work closely with them to ensure that they win customer love. - Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions. - Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions. - This role will require at minimum an active Secret clearance and willingness to obtain a TS/SCI security clearance. Ideally you have: - Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles - Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles. - Prior experience developing with Python - Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus - Linux experience: Understanding of shell scripting, operating systems, etc - Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc) is a plus. - Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles 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; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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: $190,000 - $290,000 USD The base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is: $170,000 - $260,000 USD The base salary range for this full-time position in the location of St. Louis is: $140,000 - $220,000 USD 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 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 . 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.

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Executive Assistant

Negotiable

Scale AI is seeking a highly skilled Executive Assistant based in Washington, DC to support the General Manager and VP of Engineering of Public Sector in their day to day role, plus ad-hoc support to the Public Sector LT team. This role is crucial in ensuring smooth operations and effective communication both internally and externally. This person will quickly learn each executive's working style and preferences, act autonomously or with little direction, and respond quickly when priorities change. What You’ll Do - Manage complex calendars and schedules for the team, including coordinating meetings, track travel and manage requests, and prioritizing commitments with team members - Book travel including flights, accommodation and transportation - Manage bookings for client meals, events, and similar requests - Act as a primary point of contact for internal and external stakeholders, including clients, partners, and government ministries - Building strong relationships with key EAs and Chiefs of Staff of priority customers - Handle high-level administrative tasks such as email management, expenses, document preparation and team administration - Coordinate and plan internal team events, off-site meetings, and company initiatives - Manage any high priority / VIP meetings, guest visits, etc. - Plan and run team social events, keeping the events varied and within set budgets - Manage confidential information with utmost discretion and professionalism Qualifications - 7+ years of experience as an executive assistant in a fast-paced environment, preferably in the tech or AI industry - Exceptional organizational and time-management skills - Strong communication skills, both written and spoken - Proficiency in office productivity tools and ability to learn new software quickly - Experience in building and managing relationships with high-level external stakeholders, including government officials - Ability to work flexibly and adapt to changing priorities with multiple stakeholders involved 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; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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. The base salary range for this full-time position in the location of Washington DC is: $136,000 - $170,000 USD 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 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 . 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.

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Enterprise AI Development Strategist

Negotiable

The AI Development Strategist will report directly to vertical sales leadership and will play a critical role in generating and qualifying pipeline across Scale AI’s enterprise business. This is an education-focused, customer-facing role responsible for owning early-stage enterprise opportunities through Stage 2 qualification while helping prospective customers understand Scale AI’s capabilities, AI infrastructure offerings, and output methodology. This role is designed as a bridge into strategic enterprise AI sales and is ideal for experienced outbound or mid-market sales professionals looking to transition into enterprise AI sales. Unlike traditional SDR roles, this position is structured as a closing-capable role with meaningful ownership over customer engagement, qualification strategy, and pipeline generation. You will partner closely with Enterprise Account Executives and cross-functional teams to identify high-potential opportunities, educate customers on AI use cases, and ensure strong opportunity transition into active enterprise sales cycles. In this role, you will: - Own outbound prospecting and customer engagement through Stage 2 qualification - Drive customer outreach and education during the M1 phase of the sales process - Build trust with prospective customers and teach them about Scale AI’s capabilities, AI workflows, and output methodology - Lead discovery conversations to identify and qualify high-potential enterprise opportunities - Develop key narratives, content, and research through Stage 2 qualification - Lead cross-functional coordination, including with Solutions Engineering, Marketing, and GTM Strategy - Partner closely with Account Executives to transition qualified opportunities into active deal cycles - Develop a strong understanding of enterprise AI deployment patterns and customer use cases - Maintain strong CRM hygiene and pipeline visibility using Salesforce and related sales tools - Operate effectively within a verticalized sales organization across industries including Consumer, Financial and Professional Services, and Healthcare & Life Sciences (HCLS) - Thrive in a fast-moving environment while balancing customer education, outbound activity, and pipeline quality Ideally you will have: - 1-2 years of experience as an account executive OR 4+ years of experience in outbound sales, business development, SDR, BDR, or closing roles - Experience selling SaaS, infrastructure, data, or technical products preferred - Demonstrated ability to generate qualified pipeline and exceed activity or revenue targets - Strong consultative communication and discovery skills - Ability to educate customers on complex technical concepts and workflows - Strong intellectual curiosity and willingness to develop expertise in AI fundamentals and enterprise AI workflows - Experience working in fast-paced, high-growth environments - Excellent writing and verbal communication skills - Strong sales process and systems skills (Salesforce, Outreach, Slack, Clari preferred) - Demonstrated ability to collaborate effectively with cross-functional teams and sales leadership - Strong organizational skills, attention to detail, and ability to manage multiple opportunities simultaneously - Technical curiosity or familiarity with AI, machine learning, or data infrastructure highly valued 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; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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: $80,000 - $100,000 USD 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 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 . 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.

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Enterprise Account Executive (Healthcare & Life Sc...

Negotiable

The Enterprise Account Executive (Healthcare & Life Sciences) will report to the Director of Enterprise GTM and own revenue growth across a portfolio of Scale AI’s most strategic healthcare and life sciences customers. This role is focused on selling complex, agentic AI solutions - autonomous workflows powered by LLMs and human-in-the-loop systems - into health systems, payers, pharma, biotech, and digital health organizations. You will act as a strategic partner to clinical, operational, and technical leaders - helping them transform core workflows such as clinical documentation, prior authorization, revenue cycle, pharmacovigilance, clinical trials, medical affairs, and patient engagement through AI agents. This is a highly consultative, technical enterprise sales role requiring deep domain fluency, strong executive presence, and the ability to navigate regulatory, compliance, and multi-stakeholder complexity. You will own the full customer lifecycle - from origination through close, deployment, and expansion - while quarterbacking cross-functional teams across Solutions Engineering, Product, Research, and Delivery to land and scale high-impact AI programs. You Will: - Own and expand relationships with leading healthcare and life sciences organizations (providers, payers, pharma, biotech), focusing on multi-year, strategic AI initiatives - Sell agentic AI solutions by mapping Scale’s capabilities to high-impact workflows (e.g., clinical documentation, prior auth, revenue cycle, patient ops, clinical trials, drug safety, medical review) - Build trusted relationships with executive stakeholders (CIO, CTO, CMIO, Chief Data/AI Officer, Heads of Clinical Ops, R&D, Commercial) - Develop and execute multi-threaded account strategies that drive net-new revenue, expansion, and long-term platform adoption - Lead complex deal cycles, including ROI modeling, business case development, and mutual close plans across new business, renewals, and expansions - Partner closely with Solutions Engineering to design and land technically credible pilots, POVs, and production deployments - Navigate healthcare-specific regulatory and compliance requirements (e.g., HIPAA, GxP, data governance, auditability) throughout the sales process - Act as the voice of the customer internally - informing product roadmap, agent design, and vertical-specific solutions - Maintain strong pipeline discipline, forecasting accuracy, and deal hygiene using Salesforce, Clari, and related tools - Operate effectively in a fast-paced, cross-functional environment with high ownership and attention to detail Ideally, You Will Have: - 8–12+ years of enterprise sales experience, with significant focus on healthcare or life sciences (providers, payers, pharma, biotech, or digital health) - Proven track record of closing and expanding large, complex, multi-million dollar deals in regulated environments - Experience selling AI/ML, data platforms, or workflow automation technologies, with the ability to position agentic / LLM-driven solutions to both technical and non-technical stakeholders - Strong understanding of key healthcare/life sciences workflows (e.g., clinical operations, revenue cycle, patient engagement, R&D, clinical trials, pharmacovigilance) - Demonstrated success engaging executive stakeholders and building compelling ROI-driven business cases - Familiarity with regulatory and compliance considerations (e.g., HIPAA, FDA/GxP, data privacy, model governance) - Strong command of enterprise sales fundamentals, including account planning, multi-threading, and forecasting discipline - Ability to navigate long, complex sales cycles with multiple stakeholders and competing priorities - Excellent communication, storytelling, and executive presence - High degree of ownership, intellectual curiosity, and a consultative, customer-first mindset Nice to Haves: - Experience selling agentic AI, LLM platforms, or automation solutions into healthcare or life sciences - Background working with clinical, regulatory, or data organizations - Familiarity with EHR systems, clinical data, or real-world evidence platforms - Experience in high-growth or emerging technology environments 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; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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: $207,200 - $259,000 USD 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 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 . 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.

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Enterprise Account Executive (Financial Services)

Negotiable

The Enterprise Account Executive (Financial Services) will report to the Director of Enterprise GTM and own revenue growth across a portfolio of Scale AI’s most strategic financial services customers and prospects. This role is focused on selling complex, agentic AI solutions -autonomous workflows powered by LLMs and human-in-the-loop systems - into large banks, insurers, asset managers, and fintechs. You will operate as a strategic partner to senior executives across the business, technology, and risk organizations - helping them reimagine core workflows (e.g., underwriting, fraud detection, KYC, claims, research, and operations) through AI agents. This is a highly consultative, technical enterprise sales role requiring deep domain fluency, executive presence, and the ability to navigate regulatory, security, and multi-stakeholder complexity. You will own the full customer lifecycle - from origination through close, deployment, and expansion - while acting as the quarterback across Solutions Engineering, Product, Research, and Delivery teams to land and scale high-impact AI programs. You Will: - Own and expand relationships with the largest financial services institutions (banks, insurers, capital markets, fintech), focusing on high-impact, multi-year AI transformations - Sell agentic AI solutions by mapping Scale’s capabilities to mission-critical workflows (e.g., underwriting, fraud, compliance, customer ops, investment research) - Build trusted relationships with executive stakeholders (CIO, CTO, Chief Data/AI Officer, Heads of Risk/Operations/Lines of Business) and guide enterprise AI strategy - Develop and execute multi-threaded account plans that drive net-new revenue, expansion, and long-term platform adoption - Lead complex deal cycles, including business case development, ROI modeling, and mutual close plans across new business, renewals, and expansions - Partner deeply with Solutions Engineering to shape and land technically credible pilots, POVs, and production deployments - Navigate regulatory, security, and procurement processes unique to financial services environments - Act as the voice of the customer internally—informing product roadmap, agent design, and vertical-specific solutions - Maintain a strong command of pipeline, forecasting, and deal hygiene using Salesforce, Clari, and related tools - Operate with urgency and precision in a fast-paced, highly cross-functional environment Ideally, You Will Have: - 8–12+ years of enterprise sales experience, with significant focus on financial services (banking, insurance, capital markets, or fintech) - Proven track record of closing and expanding large, complex, multi-million dollar enterprise deals within highly regulated environments - Experience selling AI/ML, data platforms, or workflow automation technologies, with the ability to position agentic / LLM-driven solutions at a business and technical level - Deep understanding of financial services workflows (e.g., underwriting, claims, fraud, KYC/AML, research, operations) and how technology transforms them - Demonstrated success engaging and influencing executive stakeholders, including building and delivering compelling business cases and ROI narratives - Strong command of enterprise sales methodology, including account planning, multi-threading, and disciplined forecasting - Ability to navigate ambiguity, long sales cycles, and complex stakeholder landscapes with high ownership and resilience - Excellent communication and storytelling skills across both technical and non-technical audiences - High level of business acumen, technical curiosity, and a consultative, customer-first mindset Nice to Haves: - Experience selling agentic AI, LLM platforms, or automation solutions into financial services - Background working with or alongside risk, compliance, or data organizations within large enterprises - Familiarity with regulatory considerations (e.g., model risk management, auditability, data privacy) in AI deployments - Prior experience in high-growth or emerging technology environments 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; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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: $207,200 - $259,000 USD 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 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 . 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.

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Enterprise Account Executive

Negotiable

The Enterprise Account Executive will report to the Director of Enterprise GTM and will own revenue growth across a portfolio of Scale AI’s largest and most strategic enterprise customers. This role is focused on selling complex, highly technical AI solutions into F500 organizations, partnering with executive, technical, and operational stakeholders to drive long-term value and expansion. You will be responsible for full-cycle enterprise sales - from prospecting and deal strategy through close, renewal, and expansion - while serving as the quarterback across internal teams including Solutions Engineering, Product, Research, and Operations. This role requires strong ownership, executive presence, and the ability to navigate multi-stakeholder enterprise buying processes in a fast-paced environment. You Will: - Own and drive relationships with Scale’s largest and most complex Fortune 500 prospects and customers - Build trusted relationships with executive, technical, and operational stakeholders across multiple business units - Develop and execute comprehensive account strategies to drive net-new revenue, expansion, and long-term partnerships - Lead strategic deal planning and mutual close plans across new business, renewals, and expansions - Partner closely with Solutions Engineering and Product teams to deliver compelling, technically credible value propositions - Act as the voice of the customer internally, influencing product roadmap, research priorities, and delivery execution - Maintain deep understanding of customer business goals, AI maturity, and industry trends to proactively identify opportunities - Consistently communicate account health, pipeline, and forecast accuracy using Salesforce, Clari, and related tools - Thrive in a fast-moving, multi-threaded environment while maintaining strong attention to detail and prioritization Ideally, You Will Have: - 8+ years of enterprise sales or account management experience, including 2+ years selling deeply technical solutions to both business and technical audiences - A proven track record of closing and expanding large, complex enterprise deals - Demonstrated success consistently achieving or exceeding quota in enterprise sales roles - Experience building and executing long-term account strategies to drive sustained revenue growth - Strong ability to lead enterprise renewal processes from strategy through close - Excellent written and verbal communication skills, with comfort presenting to executive audiences - Strong command of enterprise sales processes and systems (Salesforce, Clari, Outreach, Slack) - A consultative, customer-first mindset with the ability to influence cross-functional internal teams - Experience developing executive-level materials and business cases - Strong project management, organizational skills, and attention to detail - Technical background or strong technical curiosity highly valued, especially familiarity with AI, ML, or data platforms Sales Commission: This role is eligible to earn commissions. 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; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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: $207,200 - $259,000 USD 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 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 . 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.

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Engineering Manager, UAE

Negotiable

About Scale AI Scale's rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing governments 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 As these applications move from prototype to production, we're investing heavily in the infrastructure and people that keep them reliable, secure, and trusted by our government partners. At Scale, we're not just building AI solutions - we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you. Role Overview We are looking for a technically strong and client-oriented Engineering Manager to lead the development of AI applications directly for UAE government agencies, based in the UAE. The UAE is one of the most ambitious AI-first governments in the world, with sweeping national initiatives around smart government, digital transformation, and sovereign AI — and this role puts you at the center of that mission. This role requires someone who is equally at home in a government stakeholder meeting as they are in a technical design review. You will own engineering delivery, embed deeply with UAE government clients, and help build Scale's presence as the leading AI partner for public sector transformation in the region. What You'll Do - Lead and manage a team of engineers building AI-powered applications for UAE federal and local government clients, ensuring high-quality delivery and strong client outcomes - Act as the primary technical point of contact for UAE government stakeholders — building trusted relationships, leading discovery workshops, and presenting solutions at the executive level - Design, build, and optimize full stack AI applications end-to-end, spanning data pipelines, ML model integration, APIs, and frontend delivery - Develop and deploy AI/ML solutions including LLM-powered applications, AI agents, and intelligent automation tailored to UAE government use cases - Architect and maintain robust API integrations between Scale's platform and UAE government systems and third-party services - Partner with product, go to market, and government counterparts to translate requirements into scalable engineering solutions and drive delivery from concept to production - Represent Scale AI in client-facing settings including workshops, technical demos, and executive briefings with UAE ministry and agency stakeholders - Manage delivery across multiple concurrent workstreams, balancing velocity and quality in a dynamic, fast-paced environment - Mentor and grow engineers on the team, building a culture of technical excellence, ownership, and client focus - Contribute to shaping team culture, engineering processes, and best practices as a key leader within the Global Public Sector organization What We're Looking For - 6+ years of total software engineering experience, with a strong background in AI/ML engineering and full stack development - 3+ years of engineering leadership experience, with a proven ability to manage and grow high-performing technical teams - Strong AI/ML engineering foundation — hands-on experience building, fine-tuning, or deploying machine learning models and LLM-based applications in production environments - Full stack engineering proficiency across the entire application stack, including backend services, APIs, data pipelines, and frontend interfaces - Proven experience in a customer-facing or client-embedded engineering role — confident engaging directly with government or enterprise clients, running technical workshops, and communicating clearly with non-technical stakeholders - Experience designing and integrating APIs at scale, including RESTful services and AI/ML APIs - Ability to turn complex government requirements into practical, scalable engineering solutions under real delivery pressure - Track record of shipping high-quality products and features at pace in dynamic, ambiguous environments - Excellent communication and presentation skills, with the ability to tailor technical content for senior government audiences - Familiarity with UAE government digital transformation priorities — including initiatives such as UAE Vision 2031, smart government programs, or national AI strategies — is strongly preferred - Experience working in or with the UAE or broader GCC region is strongly preferred; Arabic language skills a plus 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 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 . 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.

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Engineering Manager, Saudi Arabia

Negotiable

About Scale AI Scale's rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing governments 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 As these applications move from prototype to production, we're investing heavily in the infrastructure and people that keep them reliable, secure, and trusted by our government partners. At Scale, we're not just building AI solutions - we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you. Role Overview We are looking for a technically strong and customer-oriented Engineering Manager to lead the development of AI applications for Saudi government clients. This role sits at the intersection of engineering leadership, AI/ML delivery, and direct client engagement—requiring someone who is equally comfortable presenting to a government stakeholder as they are reviewing a system architecture or shipping code. As a founding member of our regional team, you will help define how Scale AI shows up for some of the most ambitious public sector AI initiatives in the Gulf. If you thrive in fast-paced, high-impact environments and want to shape the future of AI in government, we would love to hear from you. What You'll Do - Lead and manage a team of engineers delivering AI-powered applications for KSA government clients, ensuring high-quality output and on-time delivery - Serve as the primary technical point of contact for KSA government stakeholders—translating complex engineering concepts into clear, accessible language for non-technical audiences - Design, build, and optimize full stack AI applications end-to-end, from data pipelines and ML model integration through to APIs and frontend delivery - Develop and deploy AI/ML solutions including LLM-powered features, AI agents, and intelligent automation tailored to government use cases - Build and maintain robust API integrations connecting Scale's platform with government systems and third-party services - Partner with product, go to market, and government counterparts to define requirements, scope solutions, and drive delivery from conceptualization through production - Represent Scale in client-facing settings including workshops, demos, and executive briefings with KSA government agencies - Manage the full product lifecycle across multiple workstreams simultaneously, balancing speed and quality in a fast-paced environment - Inspire, mentor, and grow engineers on the team, fostering a culture of technical excellence and customer focus - Influence team culture, engineering processes, and best practices as a senior leader within the Global Public Sector organization What We're Looking For - 6+ years of total software engineering experience, with a strong background in AI/ML engineering and full stack development - 3+ years of engineering leadership experience, with a demonstrated ability to manage and develop high-performing technical teams - Strong AI/ML engineering foundation—hands-on experience building, training, fine-tuning, or deploying machine learning models and LLM-based applications in production - Full stack engineering proficiency across the entire application stack, including backend services, APIs, data pipelines, and frontend interfaces - Proven experience in a customer-facing or client-embedded engineering role—comfortable engaging directly with government or enterprise clients, leading technical discussions, and building trust with non-technical stakeholders - Experience designing and integrating APIs at scale, including RESTful services and AI/ML APIs - Ability to translate complex government business requirements into practical, scalable engineering solutions - Track record of shipping high-quality products and features at pace in dynamic, ambiguous environments - Excellent communication and presentation skills, with the ability to adapt technical content for diverse audiences - Desire to work in a very fast-paced, high-stakes environment where your work directly impacts citizens - Experience working in or with the Gulf Cooperation Council (GCC) region is strongly preferred; Arabic language skills a plus 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 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 . 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.

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Engineering Manager, Infrastructure

Negotiable

At Scale AI, our mission is to accelerate the development of AI applications. For 10 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About our Enterprise Team: Our team owns the full deployment lifecycle of SGP in live customer environments — from initial rollout through long-term operational health. We work cross-functionally with customers, GTM, product, and infrastructure to ensure every deployment is production-ready, secure, and built to last. We’re looking for an Infrastructure Engineering Manager to help shape the future of AI-powered applications. In this role, you’ll bridge the gap between AI research and production, leading a team that is turning innovative prototypes into scalable, high-performance enterprise solutions. Your team will work on interactive AI applications, enterprise SaaS products, and platform capabilities that redefine how businesses leverage AI. We don't just ship and move on. We stay close to the customer experience, translating real-world deployment challenges into platform improvements, automation, and scalable playbooks that make every future rollout smoother than the last. If you're energized by solving complex technical problems at the intersection of customer impact and platform excellence, this is the team for you. Responsibilities: - Define and execute the infrastructure roadmap aligned with business and engineering priorities. - Lead the design and implementation of scalable, secure, and reliable infrastructure systems. - Set and maintain SLAs/SLOs for platform uptime, performance, and developer experience. - Manage the engineering team and drive technical delivery - Design, build, and optimize backend services for advanced AI-driven applications, focusing on AI agents, evaluation tooling, and automation - Influence the culture, values, and processes of a growing engineering team - Inspire and mentor engineers. - Work closely with product, security, and engineering leadership to align on goals and priorities. Requirements: - At least 5 years of relevant experience and at least 2+ years of experience managing infrastructure or platform teams. - Proven experience with cloud platforms such as AWS, GCP, Azure or OCI. - Proven experience with kubernetes deployments on on-prem infrastructure. - Deep understanding of CI/CD pipelines (e.g., Circle CI, Github Actions), infrastructure-as-code (e.g., Terraform), and container orchestration (e.g., Kubernetes). - Experience managing production environments with high availability, reliability, and scalability requirements. - Familiarity with monitoring, alerting, and incident response best practices. - Experience working with modern developer platforms and internal tooling to improve engineering velocity. - Solid foundation and real-world experience in network engineering 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 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 . 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.

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Engineering Manager, Global Public Sector

Negotiable

Scale’s rapidly growing International 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 Our Scale Generative AI Platform (SGP) powers production-grade GenAI applications with foundational services, APIs, and infrastructure that accelerate adoption across industries. As more of these applications move from prototype to production, we are investing heavily in the core platform that enables this scale. We are looking for a technical and strategic Engineering Manager to lead our Engineering efforts Internationally to power custom applications we build for our public sector clients. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: - Manage the engineering team and drive technical delivery. - Design, build, and optimize backend services for advanced AI-driven applications, focusing on AI agents, evaluation tooling, and automation. - Comfortable working cross functionally, whether that be internal or external customers - Work across the entire product lifecycle from conceptualization through production - Build features end-to-end, system design, debugging and testing - Deliver experiments at a high velocity and level of quality to engage our customers - Influence the culture, values, and processes of a growing engineering team - Inspire and mentor engineers. - Collaborating with cross-functional teams to define, design, and ship new product features and experiences Ideally you’d have: - At least 5 years of relevant experience and at least 2 years of experience managing back engineers is preferred - Proven success in leading, managing, and developing high-performing Engineering teams - Expertise in identifying product engagement patterns and trends for large scale consumer products - Track record of shipping high-quality products and features at scale - Desire to work in a very fast-paced environment - Ability to turn business and product ideas into engineering solutions - Excellent problem-solving skills, and be able to work independently or as part of a team 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 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 . 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.

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Engineering Manager, Agent Oversight

Negotiable

About Scale Scale's mission is to develop reliable AI systems for the world's most important decisions. As the leading AI data foundry, we provide the high-quality data and full-stack technologies that power the world's most advanced models — fueling breakthroughs in generative AI, defense, and autonomous vehicles. We partner with leading enterprises and governments to bring AI into production that performs when it matters most, combining rigorous evaluation with full-stack deployment so our customers can build AI they can trust. About the Team Applied Intelligence Systems is Scale's team focused on pushing the frontier of what agentic applications can do. We build the infrastructure and tooling that power agentic AI in production, paired with applied ML research, design, and evaluation to ensure these systems perform reliably at the scale enterprises and governments demand. We're growing fast, with increasing traction across both commercial and public sector customers, and we're just getting started — this team will define what dependable, production-grade agentic AI looks like. About the Role As Engineering Manager for Agent Oversight, you'll lead the team building our platform for monitoring, evaluating, and improving agentic applications across enterprise and government customers. Agent development tooling is still nascent industry-wide, and we're building the platform to close that gap — covering deployment, monitoring, evaluation, ML-driven improvement, and continuous learning, so agents get better over time. You'll manage the engineering team, drive technical delivery, and work cross-functionally with customers and internal partners to bring these capabilities to production, with the ambition of setting the industry standard for how agentic applications are monitored and improved. Our platform already powers agent deployments for multiple enterprise and government customers. This is a US-based team with members across New York and San Francisco, and you'll help define and grow the team as we scale. You will: - Lead a multi-disciplinary team of software and ML engineers to drive technical delivery across the Scale Generative AI Platform (SGP) - Own the platform's roadmap across deployment, monitoring, evaluation, and ML-driven improvement of agentic applications - Work cross-functionally with customers, forward deployed teams, product, and internal engineering teams to translate enterprise and government requirements into platform capabilities - Build and ship features end-to-end, from system design through debugging and testing - Drive high-velocity experimentation to validate and improve platform capabilities based on real customer usage - Establish the technical direction, culture, and processes for a fast-growing team - Mentor and develop both engineers and ML engineers/scientists, and influence how the team scales technically and organizationally Requirements: - 7+ years of engineering experience, including 2+ years directly managing engineers or ML engineers responsible for a production ML/LLM-powered system — not just consuming a third-party ML API within a feature - Hands-on familiarity with agent architectures — tool use, planning, multi-agent orchestration — and the technical depth to make informed tradeoffs with your team - You can review ML experiment design or evaluation methodology well enough to ask sharp questions and earn credibility with ML engineers and scientists, even if you're not running the experiments yourself - Track record owning the full lifecycle of platform-level infrastructure — from initial design through scaling it across multiple internal or external teams as usage, headcount, and complexity grow - Experience collaborating with product managers, forward deployed engineering (FDE) teams, and customers to translate real-world requirements into prioritization decisions and shipped platform capabilities - Track record of building and growing high-performing engineering teams — including hiring, retention, or measurable improvements in team output or velocity Nice To Haves: - Experience building or overseeing evaluation, monitoring, or observability systems for ML/LLM-powered products in production - Strong grasp of the full ML/agent development lifecycle — from experimentation through production deployment and iteration - Deep understanding of modern LLMs and agentic system design, including prompt- and system-level optimization and integration with external tools, APIs, and services - Published research, open-source contributions, or patents in agentic systems, LLMs, or applied ML - Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints 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; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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: $248,400 - $310,500 USD 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 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 . 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.

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Engagement Manager, Public Sector (CO Springs)

Negotiable

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. We’re hiring an engagement manager (EM) to lead and coordinate delivery of agentic workflows for a national security customer. As an EM on our public sector delivery team, you will own or support a large account plan, manage day-to-day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments. You will: - Manage customer relationships from the executive to the end user - Work alongside customers to scope agentic workflow use cases that Scale’s engineering team will build and you will ultimately refine - Lead a cross-functional project team to deliver on and exceed the customer's AI/ML objectives - Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success - Oversee onboarding and successful implementation of customer accounts Must haves: - An active TS/SCI clearance - 5+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions - A track record of structured, analytics-driven problem solving - Excellent verbal and written communication skills - Willingness to be onsite with the customer in the Colorado Springs area 4 days per week and able to travel at least 25% of the time (as needed) We have a diverse team with a variety of skill sets, many have: - 10+ years of professional experience, often in a customer-facing technical program management role in industry or government - Prior experience at an API technology company and / or managing technical customers using an API - A technical degree in computer science, engineering, or related field - Proficiency in Python, SQL or other programming languages - Domain expertise in a relevant field (e.g. modeling and simulation, joint planning processes, intelligence workflows, etc) 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; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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 Washington DC and Colorado is: $166,400 - $249,000 USD 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 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 . 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.

S

Engagement Manager, Public Sector

Negotiable

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. We’re hiring an engagement manager (EM) to lead and coordinate delivery of agentic workflows for a national security customer. As an EM on our public sector delivery team, you will own or support a large account plan, manage day-to-day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments. You will: - Manage customer relationships from the executive to the end user - Work alongside customers to scope agentic workflow use cases that Scale’s engineering team will build and you will ultimately refine - Lead a cross-functional project team to deliver on and exceed the customer's AI/ML objectives - Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success - Oversee onboarding and successful implementation of customer accounts We have a diverse team with a variety of skill sets, many have: - A technical background (education or professional experience with computer science, economics, statistics, engineering) - A proven track record in B2B client-facing roles and expanding client relationships - Prior experience owning the technical implementation of solutions to the government Must haves: - An active TS/SCI clearance - 5+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions - A track record of structured, analytics-driven problem solving - Excellent verbal and written communication skills - Willingness to be onsite with customers 4+ days per week in the Suffolk, VA area with occasional travel (less than 25%) to Scale’s DC office We have a diverse team with a variety of skill sets, many have: - 10+ years of professional experience, often in a customer-facing technical program management role in industry or government - Prior experience at an API technology company and / or managing technical customers using an API - A technical degree in computer science, engineering, or related field - Proficiency in Python, SQL or other programming languages - Domain expertise in a relevant field (e.g. modeling and simulation, joint planning processes, intelligence workflows, etc) 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; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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. The base salary range for this full-time position in the location of Maryland/Florida/Arizona/Virginia is: $166,400 - $249,000 USD 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 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 . 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.

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Engagement Manager, Public Sector

Negotiable

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. We’re hiring an engagement manager (EM) to lead and coordinate delivery of agentic workflows for a national security customer. As an EM on our public sector delivery team, you will own or support a large account plan, manage day-to-day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments. You will: - Manage customer relationships from the executive to the end user - Work alongside customers to scope agentic workflow use cases that Scale’s engineering team will build and you will ultimately refine - Lead or support a cross-functional project team to deliver on and exceed the customer's AI/ML objectives - Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success - Oversee onboarding and successful implementation of customer accounts We have a diverse team with a variety of skill sets, many have: - A technical background (education or professional experience with computer science, economics, statistics, engineering) - A proven track record in B2B client-facing roles and expanding client relationships - Prior experience owning the technical implementation of solutions to the government Must haves: - An active TS/SCI clearance (Full Scope Polygraph is a nice to have) - 3+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions - A track record of structured, analytics-driven problem solving - Excellent verbal and written communication skills - Ability to be forward deployed and willingness to travel 25% (50% travel is a nice to have) 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; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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. The base salary range for this full-time position in the location of Washington DC is: $199,200 - $249,000 USD 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 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 . 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.

S

Engagement Manager (Hawaii), Public Sector

Negotiable

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. We’re hiring an engagement manager (EM) to lead and coordinate delivery of agentic workflows for a national security customer. As an EM on our public sector delivery team, you will own or support a large account plan, manage day-to-day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments. You will: - Manage customer relationships from the executive to the end user - Work alongside customers to scope agentic workflow use cases that Scale’s engineering team will build and you will ultimately refine - Lead a cross-functional project team to deliver on and exceed the customer's AI/ML objectives - Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success - Oversee onboarding and successful implementation of customer accounts Must haves: - An active TS/SCI clearance - 5+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions - A track record of structured, analytics-driven problem solving - Excellent verbal and written communication skills - Willingness to be onsite with customers in locations throughout the Oahu area 4 days per week and able to travel at least 25% of the time (as needed) We have a diverse team with a variety of skill sets, many have: - 10+ years of professional experience, often in a customer-facing technical program management role in industry or government - Prior experience at an API technology company and / or managing technical customers using an API - A technical degree in computer science, engineering, or related field - Proficiency in Python, SQL or other programming languages - Domain expertise in a relevant field (e.g. modeling and simulation, joint planning processes, intelligence workflows, etc) 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; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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. The base salary range for this full-time position in the location of Honolulu, Hawaii is: $166,400 - $249,000 USD 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 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 . 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.

S

Engagement Manager, Global Public Sector

Negotiable

About the team: Scale is growing rapidly, and joining the Global Public Sector team is an opportunity to work on one of the most rapidly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work outside of the United States. There are three core types of work involved: - Building custom AI applications for government - Providing high-quality training data for research institutions building LLMs from scratch - Partnerships, upskilling, and advisory About the role: As the Engagement Manager, you will be responsible for establishing deep customer and prospect relationships, proactively identifying opportunities where Scale can build custom AI applications to improve lives for citizens and residents, overseeing the execution to ensure timelines are met and/or communicated effectively, interfacing with premier research institutions to discuss how Scale can best support them, and partnering with organizations who are looking to train and educate people on how to use AI, AI safety, and more. You and your team will work closely with the business development and go-to-market team, the product and engineering execution teams, and various customers and prospects to ensure success. The ideal candidate has a nose for value and opportunity, is highly personable and can build relationships with all types of stakeholders, is an excellent communicator, is highly organized, and has a demonstrated track record of high-achievement. They are naturally empathetic and excel at building long-term relationships through diligent problem-solving and thoughtful, strategic discussions. The blend of customer engagement, operations, and business development to drive our most important outcomes makes this a unique and exciting role at the heart of one of Scale's most exciting growth businesses. You will: - Drive the process of identifying high-value use cases for custom LLMs that Scale can build within government entities - Partner with clients to understand their most pressing problems and brainstorm how Scale can best help - Manage the long-term health of clients by identifying and preempting areas of risk or concern - Be the main point-of-contact for clients if they have any questions, issues, or concerns and triage accordingly - Collaborate with the operational and engineering execution teams to track delivery and timelines - Review, track and improve operational performances and be obsessed with continuous improvement - Brainstorm with premier research institutions building Arabic LLMs how Scale can best support and/or ideas they should consider testing - Have proficiency in reading, writing, and speaking in Arabic Ideally you'd have: - 7+ years of total work experience, with experience in consulting or as a technical program management role in industry - Experience at a consulting firm or a leading tech company - A proven track record in B2B client facing roles and expanding client relationships - Ability to understand APIs and the ML training lifecycle and build great relationships with technical customers - Great cross-functional experience and collaborative ability - Excellent verbal and written communications - A track record of structured, analytics-driven problem solving - A history of diligence and organization across multiple work streams - An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results - Analytical, planning, and process improvement capability 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 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 . 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.

S

Engagement Manager (Computer Vision), Public Secto...

Negotiable

Engagement Manager (Computer Vision), Public Sector Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade computer vision solutions and delivering them into operational use cases that matter. We’re hiring an Engagement Manager (EM) to lead and coordinate delivery of computer vision workflows for a national security customer. As an EM on our public sector delivery team, you will own or support a customer account plan, manage day-to-day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments. You will: - Manage customer relationships from the executive to the end user - Work alongside customers to scope computer vision use cases that Scale’s engineering team will build and you will ultimately refine - Lead or support a cross-functional project team to deliver on and exceed the customer's AI/ML objectives - Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success - Oversee onboarding and successful implementation of customer accounts - Partner with engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision domain We have a diverse team with a variety of skill sets, many have: - A technical background (education or professional experience with computer science, economics, statistics, engineering) - A proven track record in B2B client-facing roles and expanding client relationships - Prior experience owning the technical implementation of solutions to the government Must haves: - An active TS/SCI clearance - 3+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions - A deep understanding of ML operations process - A track record of structured, analytics-driven problem solving - Excellent verbal and written communication skills - Willingness to be onsite with customers up to 4 days per week in the DMV area and / or prepared to travel a minimum of 25% 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; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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. The base salary range for this full-time position in the location of Washington DC is: $187,200 - $234,000 USD 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 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 . 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.

S

Engagement Manager

Negotiable

As an Engagement Manager on Scale's Generative AI team, you'll be the face of Scale to the world's leading AI labs and model builders — the labs training the foundational LLM and agent capabilities defining the field. You'll own these customer relationships end to end: translating what researchers need into the complex human-data programs our delivery teams execute, advocating for customer success internally, and earning Scale more work through precise, trustworthy follow-through. You'll work cross-functionally with Operations, ML, Engineering, and Finance to ensure the seamless delivery of Scale's GenAI products and services. You won't run data pipelines yourself — you own the customer relationship, shape requirements into delivery outcomes, and partner closely with the teams who execute them. The ideal candidate is organized, execution-focused, and thrives on managing complexity. Precision across tracking, documentation, and customer follow-through is what builds trust and wins repeat work. What you’ll do: - Own end-to-end account management for assigned frontier-lab customers, from opportunity scoping through project kickoff to completion. - Translate customer requirements into well-defined human-data programs run by Scale's internal delivery operations teams. - Manage customer communications, action items, and follow-ups across multiple concurrent projects with strong attention to detail. - Act as a consultative thought partner to Scale's customers, shaping their needs into clear, deliverable project outcomes. - Monitor delivery against customer throughput and quality standards, proactively flagging risks and escalating blockers with proposed solutions. - Partner cross-functionally with operations, engineering, and planning teams to improve delivery efficiency and drive better customer outcomes. What we’re looking for: - 3+ years of work experience in consulting, technical program management, or project management. - 2+ years of experience in B2B client-facing roles. - Experience in a high-growth environment, working cross-functionally and wearing multiple hats. - A technical background (education or professional experience with CS, Engineering, Economics, Mathematics, or another STEM field) - Enough understanding of the ML training lifecycle to discuss use cases meaningfully with technical customers — or a clear ability to learn it quickly. 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; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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: $160,800 - $201,000 USD 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 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 . 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.

S

Engagement Management Lead

Negotiable

The shift from traditional software to AI is one of the most important transitions of our time, and the frontier AI labs driving it depend on Scale to do it. As an Engagement Management Lead on Scale's Generative AI team, you'll operate at the center of our most strategic frontier-lab relationships — serving as a trusted, operationally grounded thought partner to the world's leading AI research teams. You will also directly oversee account management and growth strategy for the customers to which you’re assigned. You'll build deep relationships with GenAI researchers and other key customer contacts, navigate challenging conversations with confidence rooted in operational knowledge, and earn new work by driving exceptional customer success. The strongest EM Leads are naturally empathetic and excel at building long-term relationships through diligent problem solving and thoughtful, strategic discussion. You won't run data pipelines yourself — you own the customer relationship end to end, translate research needs into complex human-data programs, partner closely with the operations, engineering, and ML teams who execute them, and think strategically about how to sustainably grow Scale’s GenAI business. The ideal candidate pairs a technical foundation with proven judgment in high-stakes, client-facing settings. What you’ll do: - Own a portfolio of complex, strategic Gen AI accounts with full accountability for customer success and commercial development. - Build and maintain deep, trust-based relationships with frontier AI lab researchers and operations leads, serving as a thought partner across the project lifecycle from ideation to execution. - Translate ambiguous customer requirements into well-defined human-data programs run by Scale's internal delivery teams. - Navigate sometimes challenging customer conversations about quality, throughput, and delivery expectations with confidence and clarity grounded in deep operational knowledge. - Identify and develop expansion opportunities through close, consultative customer engagement. - Partner cross-functionally with operations, engineering, and planning teams to improve delivery and drive better customer outcomes. What we’re looking for: - 5+ years in consulting or in a technical product or program management role. - A proven track record in B2B, client-facing experience — including building and expanding relationships and navigating complex customer dynamics. - A technical foundation (academic or professional exposure to CS, Engineering, Economics, Statistics, or another STEM field). - Enough understanding of the ML training lifecycle to discuss use cases meaningfully with technical customers. Ideally you’d have: - A graduate degree (PhD, MS) or research experience in a STEM field. - Experience at a frontier lab or a company developing foundational models, or a technical role at a high-growth AI company. - Hands-on experience working with data or AI/ML models — through engineering, research, or a technical product role. 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; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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: $192,800 - $241,000 USD 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 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 . 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.

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Enablement Manager (Support)

Negotiable

Role Summary The Support Enablement Manager builds and scales the training, onboarding, and quality-assurance programs that power a high-performing contributor-support team. The role owns the full enablement lifecycle — from designing and delivering onboarding curricula to formalizing QA frameworks that drive measurable improvement across the support organization. Enablement priorities are set in partnership with the Regional Manager; the Manager owns execution end to end within that scope and brings recommendations when scope needs to change. This is a hands-on leadership role: assess the landscape, prioritize, build the plan, lead a small team, and deliver results, working cross-functionally with Regional Managers, Team Managers, SMEs, and WFM. Key Responsibilities - Own the enablement function end to end — assess gaps, prioritize initiatives, and drive them to completion within scope agreed with the Regional Manager; surface recommendations when scope should change. - Onboarding & curriculum — own the end-to-end onboarding for new Support Specialists; design, build, and continuously improve structured training that reflects current workflows, tools, and contributor-experience standards, so agents ramp quickly and confidently. - Coaching & development — build and maintain ongoing training across all tiers; partner with Team Managers to close skill gaps with targeted interventions that translate into performance improvement. - Quality assurance — own the QA program: scorecard design, calibration, audits, and reporting; keep QA consistent, fair, and actionable, and require that quality feedback cite a current source document. - Knowledge base / SSOT — own the support knowledge base and its review cadence so guides stay accurate and current, and retire stale content. - Team leadership — lead, develop, and manage a small team of Enablement & QA Specialists; set priorities, coach, and keep the team unblocked and accountable to high-quality output. - Cross-functional partnership — align training and quality initiatives with operational priorities alongside Team Managers, SMEs, Workforce Management, and regional leadership. - Reporting & insights — track enablement and quality metrics, surface trends and recommendations, and use data to show program impact and where to invest. Minimum Qualifications - Experience — 4–6 years in enablement, training, L&D, or instructional design, with 2+ years leading or managing a team. Demonstrated track record of building and scaling training programs from the ground up with measurable, lasting results, in a fast-paced tech or operations environment. - Skills — expert instructional design and curriculum development (scalable, engaging, outcome-driven); proven ability to assess complex process gaps, establish structure, and lead organizational change; exceptional written and verbal English with the ability to influence stakeholders at all levels. - Technical — proficiency with Zendesk, Slack, and Google Workspace; hands-on experience with LMS platforms, training-delivery tools, and QA/scorecard tooling; familiarity with Redash or Snowflake a plus. - Attributes — self-directed, high ownership, precise, and consistently delivers finished work; balances strong independent execution with tight alignment on shared priorities. Preferred (nice to have) - Experience owning a QA program (scorecards, calibration) in a support, BPO, or contributor-marketplace context. - Fully bilingual English / Spanish. - Experience leading a distributed / remote team across LatAm. What Success Looks Like - First 90 days — audited existing training and QA, aligned with regional leadership on what to formalize, fix, or retire, and published a prioritized enablement plan. - Establishes a training cadence the team trusts and benefits from, with QA running consistently on calibrated scorecards and an up-to-date knowledge base. - Measured against onboarding time-to-productivity / ramp velocity, IQS (quality), critical-miss rate, KC / assessment pass rate, and QA audit coverage — each trending to target. - Impact is visible in ramp times, agent confidence, and the overall consistency of the contributor experience. 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 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 . 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.

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EMEA Assurance Lead

Negotiable

Scale is powering the generative AI wave by providing the data and infrastructure for companies to build large-scale foundation models. AI is rapidly changing the world, and Scale is growing to meet that rapid demand across global markets, including accelerating public sector business across EMEA. Scale seeks an EMEA Assurance Lead to drive assurance programs across Scale's EMEA public sector and commercial business. Reporting to the Head of Global Assurance, this is a hands-on individual contributor role with significant autonomy. You will independently design and own EMEA-specific controls within Scale's global assurance framework, while staying tightly aligned with the global controls library and reporting cadences. You will be part of the global GRC team and work across Global Public Sector, Enterprise, Security, Engineering, Product, and Legal to deliver region-specific authorizations, certifications, and customer assurance outcomes across EMEA, with a focus on the GCC, UK, and EU markets. You Will - Lead region-specific assurance programs across the GCC and UK, including Qatar NCSA National Information Assurance (NIA), KSA NCA Essential Cybersecurity Controls (ECC), UAE DESC Information Security Regulation (ISR), and UK Cyber Essentials Plus, Defence Cyber Certification (DCC), and NCSC Secure by Design (SdB). You will own controls mapping, evidence collection, gap analysis, certification timelines, and submission management for each, working with accredited external assessors where required. - Work with the global GRC team to maintain and renew Scale's existing certifications and obtain new ones, including SOC 2, ISO 27001, ISO 42001, and ISO 9001. You will also own their extension to EMEA and international operations, including for NATO-aligned defence tenders. - Design and maintain EMEA-specific controls, adapting Scale's global controls framework to sovereign regulatory and customer requirements, including data residency and sector-specific requirements (e.g., health sector), identifying where existing controls satisfy local standards and where new controls or evidence artifacts are needed. - Set priorities and operating cadences for EMEA assurance workflows, including intake, evidence collection, control owner follow-up, remediation tracking, and deadline management, reporting progress through Scale's global assurance dashboards. - Support EMEA public sector customer assurance activities, including security questionnaires, compliance due diligence responses, customer-facing assurance discussions, and compliance input to bid and capture processes where assurance readiness is a procurement gate. - Partner with Legal on EMEA contract-driven assurance obligations, data protection and AI governance compliance intersections (e.g., GDPR, Qatar PDPPL, EU AI Act), and sensitive escalations involving sovereign regulators. - Manage relationships with EMEA-based external auditors, assessors, certification bodies, and regulatory counterparts. - Support internal and external audits across EMEA and report into the Head of Global Assurance on program health, key risks, certification timelines, and regional regulatory developments. Ideally, You’d Have - 7+ years of experience in cybersecurity compliance, GRC, public sector assurance, IT audit, cloud security, or related roles, with meaningful exposure to EMEA markets. - Experience executing government or public sector assurance programs in the UK, EU, or GCC, including working with external certification bodies, government assessors, or authorizing officials. - Deep familiarity with one or more of: UK Cyber Essentials/Cyber Essentials+, ISO 27001, ISO 9001, ISO 42001, SOC 2, or equivalent frameworks, and with sovereign security regimes in the GCC (e.g., Qatar NCSA NIA, KSA SCCC/NCA, UAE DESC/NESA). - Familiarity with relevant EMEA data protection and AI governance requirements (e.g., GDPR, PDPPL, EU AI Act) and how they translate into technical and organisational controls. - Experience managing controls mapping, evidence collection, remediation tracking, and audit coordination across distributed engineering and infrastructure teams. - Experience with cloud environments (one or more of: AWS, Azure, GCP) and the ability to assess cloud architecture against compliance requirements. - Strong communication skills, sound judgment on escalation, and the ability to operate autonomously in a region while maintaining alignment with a global program. Nice to Have - Relevant certifications such as CISSP, CISM, CISA, ISO 27001 Lead Auditor, ISO 42001 Internal Auditor, or CCSP. - Experience with NATO information assurance standards or defence procurement prerequisites. - Familiarity with EMEA health-sector or medical-device regulatory requirements, particularly in the GCC and the UK. - Working knowledge of Arabic. - UK SC or DV clearance, or eligibility for equivalent EMEA government security clearances. - Experience at a Big 4 firm or in a high-growth technology company. For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted. Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process. 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 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 . 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.

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Director of Product Management, Forward Deployed &...

Negotiable

Role Summary Lead a high-stakes team of Product Managers responsible for successful delivery and integration of Scale products into complex customer environments. Own the feedback loop that converts bespoke field wins into scalable, repeatable product strategy, partnering deeply with Sales/GTM and EPD (Eng/Product/Design). Core Responsibilities - Hire, mentor, and deploy PMs across strategic accounts (e.g., Fortune 100, government). - Identify patterns across deployments; decide which bespoke solutions should move from custom to core product. - Primary product partner to Sales/GTM leadership to align roadmap with market demand. - Provide strategic + technical oversight to unblock high-priority deployments in “red zones.” - Champion the voice of the field within internal EPD teams. Ideal Background - 10+ years of product leadership, including 4+ years managing Product Management teams. - Experience in forward-deployed models or top-tier technical consulting / implementation. - High technical IQ: comfort with APIs, data pipelines, SQL; understands how data quality affects model performance. - Extreme ownership + systems thinking; navigates complex stakeholder landscapes from engineers to C-suite. 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 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 . 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.

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Director of Product Management, Forward Deployed &...

Negotiable

Role Summary Lead a high-stakes team of Product Managers responsible for successful delivery and integration of Scale products into complex customer environments. Own the feedback loop that converts bespoke field wins into scalable, repeatable product strategy, partnering deeply with Sales/GTM and EPD (Eng/Product/Design). Core Responsibilities - Hire, mentor, and deploy PMs across strategic accounts (e.g., Fortune 100, government). - Identify patterns across deployments; decide which bespoke solutions should move from custom to core product. - Primary product partner to Sales/GTM leadership to align roadmap with market demand. - Provide strategic + technical oversight to unblock high-priority deployments in “red zones.” - Champion the voice of the field within internal EPD teams. Ideal Background - 10+ years of product leadership, including 4+ years managing Product Management teams. - Experience in forward-deployed models or top-tier technical consulting / implementation. - High technical IQ: comfort with APIs, data pipelines, SQL; understands how data quality affects model performance. - Extreme ownership + systems thinking; navigates complex stakeholder landscapes from engineers to C-suite. 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 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 . 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.

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Director, Forward Deployed Engineering

Negotiable

Director, Forward Deployed Engineering At Scale AI, we're not just building AI tools—we're pioneering the next era of enterprise AI. The world's largest enterprises are racing to deploy Generative AI into the core of their operations, and Scale is the partner that gets them there. Our Forward Deployed Engineering team sits at the intersection of customer delivery and core platform development, embedding alongside customers to turn research breakthroughs into production systems that drive measurable business outcomes. We're hiring a Director of Forward Deployed Engineering to oversee delivery for our largest and most strategic accounts. You'll lead a team of elite engineers who embed directly with Fortune 500 customers to ship deeply integrated AI agents—owning everything from agent design and evaluation to the backend services, data systems, and cloud infrastructure that make them production-ready. You'll partner closely with our Forward Deployed and Product teams to make sure we're shipping as efficiently as possible, turning hard-won field lessons into reusable platform capabilities that compound our velocity over time. This is a high-autonomy, founder-mindset role. You'll own outcomes end-to-end, scale a team that can operate under pressure, and shape how AI adoption actually happens inside the world's biggest enterprises. Your success will be measured by how consistently your team ships, how durably those deployments stick, and how clearly the signal from the field sharpens our product roadmap. You Will - Own delivery for our largest accounts. Lead end-to-end execution across our most strategic enterprise customers—scoping engagements, sequencing delivery, removing blockers, and making sharp trade-offs between scope, speed, and quality to drive production adoption. - Lead and grow the team. Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set the technical bar, establish hiring standards, and build onboarding and career frameworks that let the team scale without losing intensity. - Provide holistic technical oversight. Maintain a deep working understanding of every layer of what we ship—agents, models, evaluations, backend services, data pipelines, and cloud infrastructure—so you can review architectures, debug production issues, and raise the quality bar across every engagement. - Partner with Product and core Engineering. Work closely with Forward Deployed, Product, and Platform teams to ensure we ship efficiently. Identify patterns across engagements and codify them into reusable platform capabilities, playbooks, and building blocks that make the next deployment faster than the last. - Engage directly with customer leadership. Forge trusted relationships with senior stakeholders at Fortune 500 customers. Translate ambiguous business problems into concrete technical roadmaps with measurable outcomes, and represent Scale at the executive level. - Enforce production excellence. Set and hold the standard for reliability, security, observability, and evaluation across deployed agents—making sure the systems we ship are genuinely enterprise-ready, not just demo-ready. - Drive the feedback loop into product. Translate field insights into sharp, actionable input for Product and Research, influencing model choices, platform features, and roadmap priorities. - Operate with founder mindset. Own outcomes without waiting to be asked. Move with urgency in ambiguous environments. Make sound calls under pressure and model the calm, focus, and judgment the team needs when stakes are high. Ideally You’d Have - 10+ years of software engineering or technical delivery experience , including 3+ years leading high-performing customer-facing engineering teams (Forward Deployed, Solutions Engineering, Applied AI, or similar). - A solid engineering background. You've led high-pressure technical projects from prototype to production, and you're still comfortable whiteboarding system architectures, reviewing code, and debugging production issues alongside your team. - Proven ability to scale a delivery team. You've built hiring bars, onboarding programs, and operating standards for technical organizations, and you've interviewed and hired at volume for senior engineering roles. - Hands-on fluency with the full AI stack. Deep familiarity with LLMs and agent systems, evaluation frameworks, backend and API design (Python or TypeScript), data systems (PostgreSQL, DynamoDB, MongoDB, or similar), and cloud infrastructure (AWS, Azure, or GCP) including Kubernetes, Docker, and IaC tooling. - Experience deploying AI into complex enterprise environments , including navigating security reviews, identity/SSO, data residency, legacy integrations, and compliance requirements. - A track record of turning field work into product leverage. You've codified repeatable patterns from customer engagements into tools, libraries, or platform features that scaled across the next wave of deployments. - Strong cross-functional leadership. You've aligned Sales, Product, Engineering, Research, and Customer Success around shared goals and delivered outcomes that required all of them to row in the same direction. - Founder mindset. High autonomy, high motivation, high ownership. Comfortable operating with ambiguity, bias toward action, and the judgment to know when to ship and when to raise the bar. Exceptional communication. You can translate technical tradeoffs into decisions for executive and non-technical audiences, and model the customer empathy you expect from your team. 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 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 . 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.

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DevOps Engineer, Infrastructure & Security

Negotiable

As Scale's product portfolio and customer base expand, we are seeking skilled DevOps Engineers, Public Sector to be at the forefront of building out and enhancing our CI/CD pipelines. You will play a crucial role in streamlining our Software Development Life Cycle (SDLC) through collaborative efforts, moving us from a state of manual, disparate deployments to a more unified and automated system. These engineers will gain a deep understanding of our core products' architecture and composition, enabling them to effectively deploy and manage these systems when needed. A critical aspect of this role will be seamlessly integrating various machine learning (ML) tasks and updates into our SDLC, transforming currently separate ML components into a cohesive and automated workflow. While direct ML expertise is not required, a desire to learn and integrate ML components into the lifecycle is essential. Must have: - At least an active TS/SCI clearance and the ability & willingness to up level to CI Poly. This is a requirement and candidates will not be considered who do not hold at least a TS/SCI clearance. You will: - Design, develop, and maintain robust CI/CD pipelines to automate the deployment of our lowside and highside products. - Collaborate closely with product and engineering teams to enhance existing application code for improved compatibility and streamlined integration within automated pipelines. - Contribute to the overall architecture and design of our deployment systems, bringing new ideas to life for increased efficiency and reliability. - Troubleshoot and resolve complex deployment issues, ensuring minimal disruption to development cycles. - Develop a deep understanding of our product and ML architectures to facilitate seamless integration and deployment. - Document pipeline processes and configurations to ensure maintainability and knowledge transfer. - Proactively incorporate security best practices into all stages of the CI/CD pipeline, building security into our development processes. - Drive standardization and foster collaboration across different product teams to achieve a unified and efficient SDLC. Ideally you'd have: - 2-3 years of experience as a DevOps Engineer, DevSecOps Engineer, Software Engineer with a strong focus on CI/CD, or a similar role. - Proven track record of building or significantly enhancing CI/CD pipelines. - Experience configuring and adapting application code to integrate seamlessly with evolving CI/CD environments. - Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc. - Familiarity with cloud platforms (e.g., AWS, Azure, GCP). - Strong proficiency in scripting and automation (e.g., Python, Bash, PowerShell). - Familiarity with various CI/CD platforms (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps). - Knowledge of software architecture, system design, and version control systems. - Comfort with rapidly changing, fast-paced environments and a passion for finding automated solutions to complex problems. - Basic understanding of security best practices in software development and an eagerness to integrate them. - A hunger for learning new technologies, particularly in the realm of integrating ML into automated workflows. - Strong problem-solving, analytical, collaboration, and communication skills. Nice to haves: - Experience with containerization technologies (e.g., Docker, Kubernetes). - Exposure to machine learning lifecycles or MLOps concepts. - Prior experience in classified environments. 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; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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: $198,400 - $311,000 USD The base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is: $178,400 - $279,000 USD The base salary range for this full-time position in the location of St. Louis is: $148,800 - $233,000 USD 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 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 . 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.

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Deployment Strategist

Negotiable

Scale is building AI for the world's most consequential decisions. In the Intelligence Community, that means deploying Agentic AI into the workflows that power overhead intelligence, geospatial analysis, and imagery exploitation — the systems that give the United States and its allies an irreplaceable strategic edge. As the Defense Deployment Strategist for NRO and NGA, you are Scale's point of presence at the intersection of AI and national intelligence. You will lead the end-to-end effort to land, deploy, and scale Agentic AI capabilities inside two of the most technically sophisticated and mission-critical agencies in the U.S. government. This is not a sales role. This is a full-spectrum capture, deployment, and growth role — and you are the one running it. Deployment Strategist NRO and NGA represent the frontier of AI adoption within the IC. NGA's GEOINT Pathfinder, Foundation GEOINT Services, and data modernization programs are actively seeking agentic AI capabilities that can automate imagery exploitation, fuse multi-source intelligence, and accelerate analyst workflows. NRO's Ground Enterprise and Systems Acquisition Directorate are investing in AI-enabled data pipelines and autonomous processing at scale. Your job is to ensure Scale is embedded in both. Winning here means navigating IC acquisition authorities — not just standard DoD contracting. You understand the difference between an NGA BAA, an IC OTA, and a Program of Record. You know that the path from prototype to production inside the IC requires executive sponsorship at the SES/Flag level, and you know how to earn it. Responsibilities: This is an individual contributor role with heavy leadership expectations. You are the "CEO of the Account," responsible for the following: - Full-Spectrum Capture & Quota Ownership Carry and exceed a multi-million dollar annual revenue quota across NRO and NGA. You own the entire lifecycle: shaping requirements before the RFP drops, influencing the acquisition strategy, navigating source selection, and closing. You are not waiting for inbound leads — you are building the funnel. - Mission Partner Engagement Develop and execute deep account strategies for NRO and NGA. You will maintain active, trusted relationships with SES-level sponsors, PEOs, mission area leads, and technical evaluators. You understand their modernization roadmaps — GEOINT Pathfinder, the Ground Enterprise, IC IT Enterprise — and you position Scale at the center of their most ambitious programs. - IC Acquisition Navigation You know how to leverage IC-specific acquisition vehicles: NGA's research BAAs, NRO's OTAs, and classified program vehicles. You can shape a white paper, respond to an RFI, and architect a deal structure that survives IC oversight. You have navigated the Valley of Death before and helped a program cross it. - Agentic Solutioning for GEOINT & Overhead Intelligence Work directly with analysts, mission engineers, and imagery exploitation teams to co-design Agentic AI workflows. Whether the mission need is automating change detection, accelerating multi-INT fusion, or deploying foundation models against geospatial data pipelines — you can translate the operational requirement into a buildable technical specification for Scale's engineering team. - SI & Prime Orchestration The IC does not buy software directly from startups at scale. You will manage and negotiate teaming agreements with Tier 1 primes — Leidos, Booz Allen, Northrop Grumman, Maxar, L3Harris — ensuring Scale is the agentic AI engine inside their winning proposals. You are the lead negotiator for sub-contracting arrangements and you protect Scale's programmatic position through contract award. - Operational Transition & Scale When the contract is signed, your job deepens. You lead the account through delivery, ensuring Engagement Managers, Technical PMs, and Engineers have the customer context and executive backing to succeed. You own renewal, expansion, and the next use case — turning a single GEOINT workflow into a department-wide enterprise standard. Requirements: - Experience: 10+ years in enterprise technology sales, business development, or program capture specifically within the IC — with NRO and/or NGA as primary accounts. - Proven Wins: You have successfully closed and implemented multi-year IC contracts exceeding $25M. You have a line item in an IC budget with your fingerprints on it. - Domain Fluency: You speak GEOINT. You understand overhead collection, imagery exploitation, Foundation GEOINT Services, ISR data pipelines, and the multi-INT fusion challenges that NRO and NGA mission partners face daily. You don't need a glossary. - IC Acquisition Expertise: You have direct experience with NGA BAAs, IC OTAs, NRO acquisition vehicles, and the political dynamics of IC Program of Record integration. You understand how the DNI and IC CIO equities affect technology decisions. - IC Network: You have existing, active relationships at NRO and NGA — not just name recognition. SES-level sponsors, PEO staff, and mission-area technical leads who will take your call. - Clearance: Active TS/SCI; Full Scope Polygraph strongly preferred - Education: BS/BA required; technical degree, Master's, or MBA preferred. - Geography: Based in the National Capital Region (Springfield/Bethesda corridor preferred), with the ability to operate in classified environments. 20–30% travel. Who you are: - IC Native: You have lived in this world. You know the difference between NGA's GEOINT Services directorate and its Analysis directorate. You know what the Ground Enterprise means to the NRO's customers. You don't learn this customer set — you bring it. - The Closer-Operator: You can brief a Senior National Intelligence Officer in the morning and spend the afternoon in a SCIF working a proposal. Executive presence and tactical execution are the same skill to you. - Valley of Death Veteran: You have personally transitioned a technology from cool demo to deployed IC capability. You know who to call, which budget line to pursue, and how to keep a program alive through a continuing resolution. - Technically Credible: You are not a software engineer, but you can credibly explain Agentic AI, RAG pipelines, and foundation model fine-tuning to a skeptical NGA technical evaluator — and connect it to their mission problem. - Mission-Driven: You believe that winning in AI is winning the intelligence advantage of the next century. You want that win to belong to the United States and its allies, and you are willing to do the unglamorous work to make it happen. 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; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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. The base salary range for this full-time position in the location of Washington DC is: $203,200 - $254,000 USD 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 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 . 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.

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Deployment Strategist

Negotiable

Scale is building AI for the world’s most important decisions. From the front lines of national defense to the core of global enterprise, we provide the data engine and agentic infrastructure that powers the next generation of American and allied interests. As a Defense Deployment Strategist, you will be responsible for bridging the gap between cutting-edge AI research and mission-critical production. You will lead the charge in deploying Agentic AI — autonomous, reasoning systems — into the heart of defense workflows, ensuring that our nation's most complex decisions are supported by the world’s best technology. Deployment Strategist We are looking for a powerhouse executive account leader who understands that winning in the DoW isn't about a successful 6-month pilot; it’s about Program of Record integration. You will focus on landing and transitioning high-stakes prototypes into full-scale enterprise deployments, navigating the complexities of the Valley of Death by securing executive sponsorship and programmed funding. Responsibilities: This is an individual contributor role with heavy leadership expectations. You are the "CEO of the Account," responsible for the following: - Full-Spectrum Capture & Quota Ownership: Carry and exceed a multi-million dollar annual revenue quota. You are responsible for the entire lifecycle: from identifying the top of funnel opportunity and shaping requirements to the final contract award and revenue recognition. - Tactical Execution: You don't just delegate; you execute. You will personally draft high-impact white papers, lead the development of complex proposals, architect deal structures, and navigate the nuances of defense contracting. - Operational Transition: Once the deal is signed, your job isn't over. You will continue to lead the account, ensuring that the delivery team (Engagement Managers, Technical PMs, Engineers, and Product) enables mission success. You are the primary point of contact for the customer, ensuring the pilot doesn't just work, but scales. - Renewal, Expansion, & Growth: Own the long-term account strategy. You are responsible for identifying the next use case, securing the follow-on funding, and driving the 10x growth that turns a single deployment into a department-wide enterprise standard. - Direct Agentic Solutioning: Work in the weeds with technical teams and end-users to co-design Agentic AI workflows. You must be able to translate a customer’s vision into a specific technical requirement that our engineers can build against. - SI & Prime Orchestration: In partnership with Scale’s Partner Managers, you will actively manage and negotiate with Tier 1 Systems Integrators (SIs) and Defense Primes to ensure Scale is the agentic AI engine of their larger programs. You will be the lead negotiator for sub-contracting and teaming agreements. Requirements: - Experience: 10+ years of experience in complex enterprise IT sales or business development specifically within the DoW/IC. - Proven Track Record: You have successfully closed and implemented multi-year deals exceeding $25M. You know how to get a line item in the budget. - Domain Expertise: Deep understanding of the DoW’s modernization priorities, specifically in AI/ML, computer vision, or autonomous systems. - The Valley of Death Navigator: You have a demonstrated ability to transition technology from "cool demo" to "deployed capability" within a major PEO. - Strategic Network: Existing high-level relationships across the DoW, with a specific focus on Defense Agencies and enterprise IT, as well as a Rolodex of contacts at the major primes. - Clearance: Active Top Secret/SCI clearance is strongly preferred. - Education: BS/BA required; technical degree or MBA preferred. - Travel: Ability to travel 20-30% of the time. Who you are: - Mission-Driven: You believe that whoever wins in AI wins the next century, and you want that to be the United States and its allies. - Relentless: You thrive in the long-game of defense procurement. You aren't discouraged by bureaucracy; you see it as a puzzle to be solved. - Adaptive: You can operate in the high-velocity environment of a Series E startup while maintaining the polish required for the Pentagon. - The Closer-Operator: You have the executive presence to brief a PEO, but the tactical stamina to spend 10 hours in a SCIF working on a proposal response. - Radically Accountable: You don't wait for a marketing lead or a BD specialist to hand you a deal. You build your own funnel, navigate the "No's," and find the creative path to "Yes." - Technically Credible: You aren't a software engineer, but you can explain the difference between RAG and Agentic reasoning to a skeptical technical evaluator. 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; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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. The base salary range for this full-time position in the location of California is: $203,200 - $254,000 USD 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 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 . 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.

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Deployment Engineering Manager, Enterprise

Negotiable

At Scale AI, our mission is to accelerate the development of AI applications. For 10 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About our Enterprise Team: Our team owns the full deployment lifecycle of SGP in live customer environments — from initial rollout through long-term operational health. We work cross-functionally with customers, GTM, product, and infrastructure to ensure every deployment is production-ready, secure, and built to last. We’re looking for an Infrastructure Engineering Manager to help shape the future of AI-powered applications. In this role, you’ll bridge the gap between AI research and production, leading a team that is turning innovative prototypes into scalable, high-performance enterprise solutions. Your team will work on interactive AI applications, enterprise SaaS products, and platform capabilities that redefine how businesses leverage AI. We don't just ship and move on. We stay close to the customer experience, translating real-world deployment challenges into platform improvements, automation, and scalable playbooks that make every future rollout smoother than the last. If you're energized by solving complex technical problems at the intersection of customer impact and platform excellence, this is the team for you. Responsibilities: - Define and execute the infrastructure roadmap aligned with business and engineering priorities. - Lead the design and implementation of scalable, secure, and reliable infrastructure systems. - Set and maintain SLAs/SLOs for platform uptime, performance, and developer experience. - Manage the engineering team and drive technical delivery - Design, build, and optimize backend services for advanced AI-driven applications, focusing on AI agents, evaluation tooling, and automation - Influence the culture, values, and processes of a growing engineering team - Inspire and mentor engineers. - Work closely with product, security, and engineering leadership to align on goals and priorities. Requirements: - At least 5 years of relevant experience and at least 2+ years of experience managing infrastructure or platform teams. - Proven experience with cloud platforms such as AWS, GCP, or Azure. - Deep understanding of CI/CD pipelines, infrastructure-as-code (e.g., Terraform, Pulumi), and container orchestration (e.g., Kubernetes). - Experience managing production environments with high availability, reliability, and scalability requirements. - Familiarity with monitoring, alerting, and incident response best practices. - Experience working with modern developer platforms and internal tooling to improve engineering velocity. 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; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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 and New York is: $216,000 - $270,000 USD 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 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 . 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.

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Communications Senior Manager, Corporate & Product...

Negotiable

Scale's mission is to develop reliable AI systems for the world's most important decisions. We provide the high-quality data that powers the world's AI models, and we help enterprises and governments build, deploy, and oversee AI applications that create real impact. As Communications Manager, Corporate and Product, you will help shape how Scale shows up when it comes to our work building enterprise AI, spanning company narrative, product launches, partner communications, media presence, and executive visibility. This role is centered on translating complex enterprise AI deployments and partnerships into clear, compelling narratives that resonate with business and vertical industry audiences. A core focus of the role is pitching and positioning Scale's enterprise wins, product launches, and customer partnerships, including how organizations across industries are using Scale's Generative AI Platform to build, deploy, and oversee AI applications that create real impact. You will also work closely with communications counterparts at partner companies to align messaging and coordinate joint announcements. You will help tell the story of how Scale's enterprise business powers mission-critical AI programs for the world's most consequential organizations, from Fortune 500 companies to leaders across every major industry. In this role, you will partner closely with enterprise product leaders and go-to-market teams, as well as teams across communications, social, and marketing. You will play a key role in strengthening Scale's reputation with enterprise customers, industry analysts, and the broader technology ecosystem. This position reports directly to the Head of Corporate & Product Communications. You Will - Support corporate and product communications initiatives with a strong emphasis on Scale's enterprise business, including customer and partnership announcements, product launches, executive visibility, and industry positioning. - Help translate complex enterprise AI deployments and business outcomes into narratives that resonate with business and vertical industry audiences. - Identify opportunities to position Scale as a trusted enterprise AI partner by developing media strategies, storylines, and press materials such as customer case studies, Q&As, briefing documents, and product announcements. - Partner closely with enterprise product managers and go-to-market leaders to deeply understand their work and accurately represent it externally. - Work closely with communications teams at partner organizations to coordinate joint announcements and ensure aligned messaging. - Build and maintain relationships with reporters and influencers across business and enterprise technology media. - Collaborate with legal, policy, marketing, and social teams to ensure messaging is accurate, consistent, and aligned across channels. - Contribute to the planning and execution of multi-channel communications campaigns that elevate Scale's enterprise credibility and product leadership. - Monitor media coverage and industry conversations to identify opportunities for Scale to lead, respond, or clarify. - Help prepare executives for interviews, conferences, briefings, and speaking opportunities. - Track performance against communications goals and refine strategies based on impact and feedback. Ideally you'd have: - 7+ years of experience in technology communications, product communications, or enterprise-focused PR (in-house or agency). - Strong understanding of enterprise technology, AI, or B2B software, with the ability to distill complex business and technical concepts into clear, simple stories. - Experience supporting enterprise product or platform communications strongly preferred. - Demonstrated success in media relations, including securing coverage for enterprise and business-driven stories across traditional and emerging formats. - Excellent writing and editing skills across formats, including narrative documents, announcement blog posts, and executive briefing materials. - Highly organized, with the ability to manage multiple complex projects in a fast-paced environment. - Comfortable working closely with product leaders, customers, and senior executives. - Genuine enthusiasm for enterprise AI adoption and the role it plays in transforming business. 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; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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 and New York is: $151,200 - $189,000 USD 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 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 . 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.

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Chief of Staff, Public Sector Engineering & Securi...

Negotiable

Chief of Staff, Public Sector As the Chief of Staff for Scale AI’s Public Sector business unit, you will be a strategic partner to the VP, Public Sector Engineering & Security, driving the execution of critical initiatives and optimizing the operational rhythm of the business. Your role will encompass strategic planning, cross-functional initiatives management, executive reporting, special project execution, and the synthesis of complex information to support Public Sector objectives and growth. We are seeking a hard charging, initiative-driven generalist that is obsessed with impact, deeply analytical, low ego, and ready to embrace the intensity required to achieve the goals of our growing Public Sector business. You will: - Act as an extension of the VP, Public Sector Engineering & Security by attending key meetings and calls on the VP’s behalf, supporting client development, external presentations, internal problem solving, and special projects - Run strategic planning for the business unit to include scoping business priorities, driving alignment among the VP, Public Sector Engineering + senior leadership (VPs of Engineering, Sales, and Operations), and leading initiatives that move the needle on key performance indicators (KPIs) - Own operational rhythms for the business unit (leadership meetings, all hands, offsite events), executive deliverables, and special projects - Own all executive-level reporting that communicates progress and blockers for the business unit and act as the primary liaison to central functions such as finance, communications, marketing, and legal - Report to the VP, Engineering & Security of Scale’s Public Sector business unit Ideally you’d have: - A strong orientation towards outcomes and a history of being scrappy when it counts - An effective interpersonal style that you bring to bear in everything from deep technical conversations with engineers to polished executive level comms - Proven ability to build high trust relationships with a wide range of people across the organization - Experience leading small teams and managing multiple, complex work streams - Excellent qualitative and quantitative analytical skills - A deep intellectual curiosity about AI and machine learning, particularly in applications that advance national security Nice to haves: - A Top Secret U.S. security clearance - 4+ years of experience in a highly strategic, analytical, and operational role - 2+ years experience in top-tier consulting, venture capital, or tech - An MBA, JD, or technical degree from a top program - Experience using Python, SQL, or similar analytical tools to translate insights into actionable outcomes 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; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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. The base salary range for this full-time position in the location of Washington DC is: $182,400 - $228,000 USD 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 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 . 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.

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Business Development Representative, Partnerships...

Negotiable

The Business Development Representative, Partnerships, Physical AI will report to the Strategic Partnerships Manager and will be responsible for identifying, sourcing, and qualifying new partnership opportunities across partnership categories within the Physical AI ecosystem. In this role, you will help build and maintain a healthy partner pipeline while serving as a key operational backbone for the partnerships function: owning the CRM, partner communications, and internal materials. This role requires strong organization, clear communication, and comfort operating in a fast-paced, evolving environment. This role is approximately 70% outbound sourcing, qualification, and partner-facing work, and 30% CRM ownership and internal materials management. In this role, you will: Core (outbound & qualification): - Identify and source potential partner candidates across partnership categories within the Physical AI space through inbound engagement, outbound outreach, and market mapping - Triage partner prospects by sharing and reviewing intake forms to assess initial fit - Coordinate and, as needed, lead discovery calls to qualify prospects against defined partnership criteria - Qualify partner prospects by sharing and reviewing intake forms, assessing candidates against defined criteria - Present qualified prospects to the partnership team for pilot consideration - Coordinate and support partner-facing touchpoints as needed Supporting (systems & materials): - Own and maintain the CRM for partnerships, ensuring accurate, up-to-date records of partner prospects, pipeline stage, and outreach history - Draft clear, tailored outreach and follow-up communications to partner prospects at each stage - Keep internal materials (intake forms, partner one-pagers, tracking sheets, FAQs) current and easily accessible for the broader GTM team - Collaborate with the partnership team to refine qualification criteria and improve the intake-to-pilot handoff - Take on ad-hoc projects related to partner research, market landscaping, or process improvement - Share out learnings on Physical AI partner trends, competitive landscape, and what's resonating in outreach Success in this role looks like: consistent growth in qualified partner pipeline and increasing pilot conversion rates for prospects you've sourced and qualified. Ideally, you will have: - Bachelor's degree or equivalent work experience - Ability to understand Scale's product offerings and how they apply to the Physical AI ecosystem - Ability to communicate Scale's value proposition clearly to both business and technical audiences - Passion for what you do, and the creativity and willingness to think outside of the box - Excellent writing and communication skills - Strong systems and process skills (e.g., Salesforce or similar CRM); comfort owning and maintaining a system of record - Demonstrated ability to develop strong, consultative relationships with external partners and internal cross-functional teams at all levels - Ability to develop and maintain clear, up-to-date internal and partner-facing materials - Strong project management skills, high detail orientation, and exceptional organizational skills - Curiosity about the rapidly evolving Physical AI landscape and a willingness to stay current on industry trends, prior experience is a plus but not required - Eagerness to learn and grow a career in partnerships or business development 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; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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: $80,000 - $100,000 USD 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 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 . 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.

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Associate General Counsel, Commercial

Negotiable

Scale is powering the generative AI wave — from the world-class data fueling frontier AI models and autonomous systems to the enterprise AI applications turning breakthroughs into business outcomes. AI is rapidly changing the world, and Scale is growing to meet that rapid demand. Scale’s Legal team works on exciting legal and commercial issues at the leading edge of artificial intelligence, autonomous systems, and machine learning technology. This role will support our Physical AI team, which is focused on the next frontier: building general AI that can reason and act in the physical world. While Physical AI will be the primary focus, this role may also flex across our GenAI data business and Enterprise/Applications team when extra hands are needed. You will act as a close business partner to its leadership, negotiate complex agreements and help shape the deal structures and go-to-market approaches that drive this business unit’s continued growth. You will join a creative and solutions-oriented team that collaborates internally with teams at Scale and externally with our customers. We are looking for a relentlessly curious, deliberately open-minded, pragmatic, and action-oriented commercial attorney who can negotiate complex agreements and effectively advise on legal risk — all while being a great teammate. This is an individual contributor role with significant scope and visibility that will run deals from end-to-end, collaborate with high level internal clients, and help shape Scale's commercial legal function as it scales with the business. If you enjoy solving novel and challenging problems and building strong teams and relationships while doing it, we'd love to hear from you! You will: - Draft, review, and negotiate master services agreements, statements of work and order forms with autonomous driving and robotics companies, working closely with our Sales organization to close revenue deals. - Work directly with leadership to shape the business and legal strategy for this business unit. - Draft, review, and negotiate a wide range of other agreements, including partnership, reseller and vendor agreements as well as DPAs. - Assess legal risk and give the business clear, practical guidance to help the business make informed decisions. - Provide hands-on legal support to sales, product, and other cross-functional teams. - Design, implement, and iterate on policies and processes to manage legal and business risk on a global scale. - Pitch in on deals for our GenAI and Enterprise legal teams when extra bandwidth is needed, with Physical AI as your home base. Ideally you'd have: - JD and a member of the California Bar in good standing. - At least 9+ years of combined law firm and in-house experience with training in commercial agreements, data licensing, and intellectual property. - Passion for partnering with Sales and closing revenue deals. - Experience with drafting and negotiating complex data licensing, services or technology agreements. - An ability to communicate clearly with business and technical audiences and effectively translate legal concepts for non-lawyers. - Roll-up-your-sleeves attitude to tackle projects large and small and a collaborative, low-ego approach to working across the organization. - Deep interest in artificial intelligence, autonomous vehicles, robotics, and the broader AI landscape. Nice to haves: - Experience with legal issues in autonomous vehicles or robotics. - Product or privacy counseling experience. 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; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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: $264,800 - $331,000 USD 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 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 . 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.

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Applied AI Engineer, Global Public Sector

Negotiable

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 hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI. You will also get the opportunity to develop and be part of creating custom datasets, evaluations, and fine-tuning these sophisticated models to maximize performance and apply on real world use cases with global reach. At Scale, we’re not just building AI solutions—we are building repeatable blocks to enable the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a member of our rapidly expanding team, we’d love to hear from you. You will: - Partner with public sector clients to deeply understand their challenges and define AI-driven solutions - Build and deploy end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models - Collaborate with cross-functional teams, including data annotation specialists, to create high-quality training datasets - Design and maintain robust evaluation frameworks to ensure the reliability and effectiveness of AI models - Participate in customer engagements, including occasional travel (approximately two weeks per quarter) - Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing Ideally you’d have: - A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience) - 7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++. - 2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines - Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure) - Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets - Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment Nice to haves: - Experience working at a startup, particularly as founding engineer - Experience building and deploying large-scale AI solutions - Strong written and verbal communication skills to operate in a cross-functional team environment - Proficiency in Arabic (if focused on language models) For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted. Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process. 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 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 . 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.

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[Annotations] Operations Program Manager

Negotiable

Scale AI sits at the forefront of enabling machine learning for advanced robotics systems. As an Operations Program Manager focused on data creation for robotics models, you will design and execute the solutions, tools, and processes that power high-quality training data at scale. You’ll ensure precise, timely delivery of datasets that drive perception, manipulation, and autonomous decision-making in robotic platforms. With rapid growth, new customer onboarding, and continual product innovation, we face both strategic questions and hands-on operational challenges—your contributions will be key to solving them. You will be part of a highly motivated team of operators and collaborators who will ensure steady delivery and customer satisfaction. You are relentless in driving stellar results, running pilots, tests, and experiments, then handing over new designs to a team of skilled operators. The blend of operations, process improvement, and cross-functional leadership make this a unique and exciting role that will provide an opportunity to work with multiple teams (e.g., Engineering, Marketing, Operations, Analytics, and several others) across the company and around the globe. You will: - Drive some of our most critical operational processes - Improve existing processes and tools globally - Collaborate with stakeholders to improve processes for new and existing customers - Create an effective feedback loop between the frontline, product, strategy, and customers - Build, maintain, and regularly communicate detailed reporting for other leaders across the company who will use your team's data to inform their own operations and strategy Ideally you'd have: - Industry experience in supply chain, finance planning, in an operational role and/or in a top tier consulting firm - An undergraduate degree from a top university in an analytics heavy major (e.g., Engineering or Economics) and/or a graduate degree from a top university in Engineering, Economics, or Business - Experience leading day to day activities and improving processes - An action oriented mindset that balances creative problem solving with the desire to run through walls to deliver outcomes - Analytical, planning, and process improvement capability Nice to haves: - Experience with reading SQL and/or another database language - Experience with Python and/or Mode Notepad scripting 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 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 . 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.

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[Annotations] Operations Associate

Negotiable

As a member of our operations team, you will be accountable for driving revenue by ensuring that Scale AI meets customer commitments in a timely manner while maintaining the highest quality standards. You will manage our supply operation funnel by building and running solutions, tools, and processes by working with a cross-functional team including Customer Operations, Product Operations, Product Managers, and many others. You will be solving problems no one has solved before, and you will need to be relentless in driving stellar results, running pilots, tests, and experiments. You’ll come up with creative solutions to bottlenecks. The blend of operations and ownership of our most important outcomes make this a unique and exciting role at the heart of Scale’s daily operations.The ideal candidate is scrappy, analytical, empathetic, outcome focused, and above all someone who drives and inspires results. You will: - Build and drive some of our most critical operational processes - Own the day-to-day delivery of customer commitments - Create an effective feedback loop between the front line, product, strategy, and customers - Collaborate with stakeholders to improve processes for new and existing customers Ideally you'd have: - Advanced English skills - Industry experience (+2) in an operational role and/or a top-tier consulting firm - An undergraduate degree with an analytics heavy major (e.g., Engineering or Economics) and/or a graduate degree in Engineering, Economics, or Business - An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results - Analytical, planning, and process improvement capability - Experience with reading SQL, or have demonstrated analytical skills 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 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 . 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.

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AI Upskilling Lead

Negotiable

About Scale AI At Scale AI, we enable governments to adopt AI with confidence. Our mission is not just to deploy the technology, but to ensure it is trusted, understood, and used. We are building a discipline that integrates enablement, change management, and AI fluency to support national transformation efforts. The Role We are looking for a senior individual contributor to own and scale the learning system that drives GenAI adoption across public sector audiences. This is a builder's role with three mandates: design the learning and define the course portfolio, run the platform that delivers it at national scale, and represent Scale's learning capability in the regional AI conversation. The throughline is adoption. The catalog you build is not generic literacy. It is purpose-built to move government teams onto Scale's deployed use cases, which makes this role the link between building national AI talent and driving the adoption that talent enables. This role sits at the top of the adoption funnel. The credibility you build, in the room and in public, is what opens the door to deeper engagements. Key Responsibilities Own the learning system - Lead LMS strategy, selection, and rollout, including certification and badging, as the scalable backbone for national delivery. - Define and own the course catalog: the portfolio of programs and courses that builds AI fluency and, by design, drives adoption of Scale's use cases. Make it discoverable so it actively pulls teams toward the capabilities it supports. - Design and launch flagship programs, starting with expanding our foundational AI literacy course, built modular so they extend across audiences and markets. - Build the measurement layer that ties learning to adoption outcomes, not just completion counts. Scale across geographies - Adapt programs across markets with localization as a design principle, not an afterthought: language, institutional context, and cultural norms handled at the build stage. - Stand up repeatable delivery frameworks so programs can scale without rebuilding from scratch in each market. - Partner with delivery vendors and national training bodies where local routing requires it. Teach and represent - Deliver high-stakes workshops and briefings to public sector audiences across all levels, from working teams to senior leadership. - Translate technical GenAI concepts into formats that land for non-technical audiences, drawing on a genuine technical background rather than borrowed scripts. - Work with marketing and events to plan speaker series, sessions, and public-facing moments that build Scale's standing in the regional AI-learning conversation. Who You Are - 8+ years in learning and development, instructional design, or enablement, with demonstrated ownership of a learning function, platform, or program at scale. Public sector or government experience is strongly preferred. - Hands-on LMS leadership: you have selected, stood up, or scaled a platform, not just authored content on one. - A technical foundation in GenAI: you can teach the concepts directly and adjust depth to the audience in front of you. - Track record scaling learning across geographies, with localization handled deliberately rather than bolted on. - You think about learning as a driver of adoption, not an end in itself, and design programs to move people toward using what they have learned. - Strong facilitation and presence: confident in front of senior government stakeholders and large mixed audiences. Arabic and English delivery strongly preferred. - A genuine learning enthusiast who pays attention to where the field is heading. Nice to have: an active presence creating AI-learning content on LinkedIn, YouTube, or similar. We read this as a signal that you understand micro-learning and social-native delivery, not as a personal-brand requirement. - Comfortable in fast-paced, ambiguous environments with a strong sense of ownership. Early Success Looks Like First 6 months - LMS strategy decided and the foundational program live, with certification or badging in place. - Course catalog defined, with the first programs mapped to live use cases. - Two audience tracks delivered, with satisfaction and early adoption signals captured. - At least one public-facing moment (speaker session, event, or series) delivered with marketing and events. By 12 months - A functioning LMS ecosystem delivering across more than one market, with localization proven, not promised. - A course catalog actively driving adoption of Scale's use cases, with measurable pull-through. - Public sector partners recognize Scale's learning work as credible and effective. - A repeatable enablement framework embedded in key engagements, with a measurement layer that connects learning to adoption. For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted. Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process. 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 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 . 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.

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AI Strategy Consultant, Frontier Tech

Negotiable

As a member of our Frontier Tech Consultant team, you will play a critical role in advancing cutting-edge AI innovations by conducting high-impact experiments and ensuring seamless execution at the highest quality standards. Your work will directly contribute to Scale AI’s growth, shaping the future of artificial intelligence. In this role, you will be working on various types of projects, including but not limited to: research experiments, dataset generation, data quality improvements, and in-depth technical analysis. You will tackle complex, technical and operational challenges while collaborating closely with Scale’s ML research scientists and SPM team. The ideal candidate is analytical, detail-oriented, and results-driven, with strong problem-solving abilities and excellent communication skills. We are looking for someone who thrives in a fast-paced environment, is proactive in overcoming challenges, and is committed to delivering exceptional outcomes. If you are eager to contribute to the forefront of AI innovation, we encourage you to apply. You will be responsible for: - Design and execute research experiments - Build and evaluate frontier LLM datasets - Develop training and testing material for frontier pipelines - Improve quality of existing and new products Ideally you’d have: - Strong machine learning knowledge, either by being in the final years of a ML PhD career or having already graduated - Strong writing and verbal communication skills - An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results - Analytical, planning, and process improvement capability - Experience working in a fast-paced, entrepreneurial environment - Technical skills including familiarity with Python, GPU, AWS, API, LLM, ML, and SQL Pay: $60-80/hr Commitment: This is a fully remote, US-based part-time (10-20 hours per week), on-going contract position staffed via HireArt. HireArt values diversity and is an Equal Opportunity Employer. We are interested in every qualified candidate who is eligible to work in the United States. Unfortunately, we are not able to sponsor visas, including CPT/OPT or employ corp-to-corp . LI-Onsite 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 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 . 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.

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AI Product Manager (Coding/Multimodal)

Negotiable

Scale is the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world's most important decisions. We are looking for an AI Product Manager to support Multimodal & Coding AI data verticals, including audio, image, video, and world models. This role is designed for someone early in their product career who is excited about AI and wants to develop into a full AI Product Manager over time. In this role, you will work closely with Senior AI Product Managers to drive execution across product, operations, and customer programs. You will help coordinate cross-functional initiatives, manage project timelines, support customer engagements, and contribute to product discovery and data development efforts. This position offers a clear growth path into AI Product Management, with increasing ownership of products, customer relationships, and business outcomes. You Will - Partner with Senior AI Product Managers to drive execution of strategic initiatives across Coding, Agentic, and RL data products. - Coordinate cross-functional projects across operations, engineering, research, and go-to-market teams to ensure timely delivery of customer commitments. - Track program milestones, risks, dependencies, and deliverables while driving accountability across stakeholders. - Support customer engagements by preparing materials, documenting requirements, coordinating follow-ups, and helping manage project execution. - Assist in defining data specifications, reviewing data quality, and identifying opportunities to improve product performance and operational efficiency. - Conduct market, customer, and competitive research to inform product strategy and roadmap decisions. - Contribute to the development of new AI data products, tooling, and evaluation workflows. - Develop a strong understanding of frontier AI models, agent systems, and data pipelines, with increasing ownership over product decisions over time. Ideally, You'd Have - 1–3 years of experience in project management, product operations, consulting, technical account management, customer success, or a related role. - Strong organizational skills with the ability to manage multiple projects and stakeholders simultaneously. - Excellent written and verbal communication skills. - Demonstrated ability to work effectively in cross-functional environments and drive projects to completion. - Technical curiosity and a desire to learn about AI systems, machine learning, coding, or data products. - Experience working with technical teams or customers is a plus. - A bias for action, strong ownership mentality, and willingness to operate in fast-moving environments. - Bachelor's degree in Computer Science, Engineering, Business, or a related field (or equivalent practical experience). Growth Opportunity This role is designed as an entry point into AI Product Management. Successful candidates will have opportunities to take on increasing ownership of product strategy, customer relationships, and business outcomes, with a defined path toward becoming an AI Product Manager. 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; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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: $171,200 - $214,000 USD 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 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 . 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.

S

AI Infrastructure Engineer, Serving Platform

Negotiable

As a Software Engineer on the ML Infrastructure team, you will design and build platforms for scalable, reliable, and efficient serving of LLMs. Our platform powers cutting-edge research and production systems, supporting both internal and external use cases across various environments. The ideal candidate combines strong ML fundamentals with deep expertise in backend system design. You’ll work in a highly collaborative environment, bridging research and engineering to deliver seamless experiences to our customers and accelerate innovation across the company. You will: - Build and maintain fault-tolerant, high-performance systems for serving LLMs and other models at scale. - Build an internal platform to empower LLM capability discovery. - Collaborate with researchers and engineers to integrate and optimize models for production and research use cases. - Conduct architecture and design reviews to uphold best practices in system design and scalability. - Develop monitoring and observability solutions to ensure system health and performance. - Lead projects end-to-end, from requirements gathering to implementation, in a cross-functional environment. Ideally you'd have: - 4+ years of experience building large-scale, high-performance backend systems. - Strong programming skills in one or more languages (e.g., Python, Go, Rust, C++). - Experience with LLM serving and routing fundamentals (e.g. rate limiting, token streaming, load balancing, budgets, etc.) - Experience with LLM capabilities and concepts such as reasoning, tool calling, prompt templates, etc. - Experience with containers and orchestration tools (e.g., Docker, Kubernetes). - Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform). - Proven ability to solve complex problems and work independently in fast-moving environments. Nice to haves: - Experience with modern LLM serving frameworks such as vLLM, SGLang, TensorRT-LLM, or text-generation-inference. 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 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 . 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.

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AI Infrastructure Engineer, Sandbox Platform

Negotiable

AI Infrastructure Engineer - Agent Sandbox Platform As a Software Engineer on the AI Infrastructure team, you'll help build and evolve our agent sandboxing platform — the secure, high-performance code execution layer powering our agentic workflows, deployed across both internal and customer-managed environments. This is a role for someone who cares as much about the experience of the engineers and researchers using this system as they do about the kernel internals underneath it. You'll combine deep systems expertise (isolation, virtualization, performance) with an obsession for developer experience: clean APIs, clear error messages, good docs, and a client library that feels well-crafted. You'll partner closely with internal teams to understand how they use the platform, debug their issues, and shape a roadmap that balances immediate needs with long-term architecture. You will: - Design and build the sandboxing platform, client library, and API surface for secure code execution across containerized and virtualized environments - Ensure strong isolation, security, and reproducibility of execution across user sessions and workloads - Optimize for cold-start latency, memory footprint, and resource utilization at scale - Drive down error rates through systematic debugging, monitoring, and proactive fixes - Partner closely with internal teams using the platform to understand their needs, debug issues, and build tooling that serves their use cases - Respond to incidents and production issues with urgency, conducting root cause analysis and implementing preventive fixes - Help develop and maintain a product roadmap for sandboxing, balancing immediate needs against long-term architectural investment - Lead architecture reviews and own projects end-to-end, from design through deployment, in fast-paced cross-functional settings Ideally you'd have: - 4+ years of experience building high-performance systems software, with meaningful time spent maintaining libraries, SDKs, or developer-facing APIs - Deep understanding of Linux internals: process isolation, memory management, cgroups, namespaces, etc. - Experience with containerization and virtualization technologies (e.g., Docker, Firecracker, gVisor, QEMU, Kata Containers) - Proficiency in a systems programming language such as Go, Rust, or C/C++ - A track record of obsessing over developer experience — API design, error propagation, documentation, and the small details that make a library feel well-crafted - Comfort working across infrastructure layers, from kernel modules to orchestration frameworks (e.g., Kubernetes) - Strong debugging skills and the ability to navigate performance/security tradeoffs in production systems - Comfort with ambiguity, and the ability to context-switch between reactive incident work and proactive product development Nice to haves: - Experience as a founder or early engineer at an infrastructure-focused startup, owning a product end-to-end - Familiarity with LLM agents and agent frameworks (e.g., OpenHands, Agent2Agent, MCP) - Experience running secure workloads in multi-tenant or untrusted environments (e.g., FaaS, CI sandboxes, remote notebooks) - Exposure to snapshotting and restore techniques (e.g., CRIU, VM snapshots, overlayfs) - Open-source contributions to systems or developer-tools projects - History of on-call/incident response for production systems 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; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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: $180,000 - $225,000 USD 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 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 . 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.

S

AI Infrastructure Engineer, Model Serving Platform

Negotiable

As a Software Engineer on the ML Infrastructure team, you will design and build platforms for scalable, reliable, and efficient serving of LLMs. Our platform powers cutting-edge research and production systems, supporting both internal and external use cases across various environments. The ideal candidate combines strong ML fundamentals with deep expertise in backend system design. You’ll work in a highly collaborative environment, bridging research and engineering to deliver seamless experiences to our customers and accelerate innovation across the company. You will: - Build and maintain fault-tolerant, high-performance systems for serving LLMs workloads at scale. - Build an internal platform to empower LLM capability discovery. - Collaborate with researchers and engineers to integrate and optimize models for production and research use cases. - Conduct architecture and design reviews to uphold best practices in system design and scalability. - Develop monitoring and observability solutions to ensure system health and performance. - Lead projects end-to-end, from requirements gathering to implementation, in a cross-functional environment. Ideally you'd have: - 4+ years of experience building large-scale, high-performance backend systems. - Strong programming skills in one or more languages (e.g., Python, Go, Rust, C++). - Experience with LLM serving and routing fundamentals (e.g. rate limiting, token streaming, load balancing, budgets, etc.) - Experience with LLM capabilities and concepts such as reasoning, tool calling, prompt templates, etc. - Experience with containers and orchestration tools (e.g., Docker, Kubernetes). - Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform). - Proven ability to solve complex problems and work independently in fast-moving environments. Nice to haves: - Experience with modern LLM serving frameworks such as vLLM, SGLang, TensorRT-LLM, or text-generation-inference. 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; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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: $180,000 - $225,000 USD 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 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 . 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.

S

AI Builder Intern

Negotiable

ABOUT THE ROLE This isn't a research internship. You won't spend the summer writing reports or sitting in strategy meetings. You'll spend it building — shipping AI-powered tools, automating workflows, and deploying agentic systems that real teams at Scale AI use every day. Embedded in the Data & Technology org, you'll work directly alongside engineers, data scientists, and ops leads on live automation initiatives. If you have strong instincts for what AI can do today, a bias for building over theorizing, and a fluency in modern LLM tooling — this role is for you. ──────────────────────────────────────── WHAT YOU'LL BUILD Agentic Workflows & Automation → Design and deploy multi-step agentic workflows using LLM-integrated frameworks (LangChain, LangGraph, CrewAI, or similar) → Build API-connected automations that tie together internal tools — Slack, Salesforce, Notion, and internal data systems → Prototype and iterate fast; build things that work, then make them better AI Tooling & Internal Products → Develop lightweight internal tools and dashboards that surface AI outputs to business teams → Vibe-code functional UIs — React, plain JS, or whatever gets to working fastest — for internal adoption → Identify friction points in current workflows and propose AI-first replacements Measurement & Signal → Instrument your own work — capture usage signals, time-saved estimates, and adoption metrics from day one → Contribute to the org's ROI measurement framework by tagging your projects to defined value categories ──────────────────────────────────────── A NOTE ON "VIBE CODING" We're not precious about how code gets written. Use Cursor, Claude, Copilot, or whatever gets you from idea to working demo in hours, not weeks. We care about judgment, craft, and what ships — not keystroke attribution. ──────────────────────────────────────── WHAT WE'RE LOOKING FOR → Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) — you've built something real with them → Comfortable with Python and/or JavaScript; able to read and write production-quality code → Familiarity with at least one agentic or automation framework (LangChain, AutoGen, n8n, Zapier + LLM, etc.) → Strong product instincts — you think about who will use what you build and why it matters → Able to move fast without breaking things that matter; iterative, scrappy, but deliberate → Currently enrolled in an undergraduate or graduate program in CS, data science, engineering, or related field ──────────────────────────────────────── BONUS POINTS → Prior internship or project experience in a BizOps, RevOps, or enterprise automation context → Experience integrating Slack, Salesforce, or finance/ops systems via APIs → You've built something with a multi-agent architecture — even a side project counts → Familiarity with prompt engineering, RAG pipelines, or LLM evals → An active GitHub, portfolio, or side project that shows what you can do ──────────────────────────────────────── WHY SCALE AI Scale AI is building the data infrastructure behind the world's most capable AI systems. As an AI Builder Intern on the Data & Technology team, you'll work inside one of the most AI-native organizations in the world — deploying the same tools you're learning about in an environment where the stakes are real and the pace is fast. You'll leave with production systems in your portfolio, not decks. And you'll work alongside people who think deeply about how AI transforms the way organizations actually run. 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; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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: $74,400 - $93,000 USD 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 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 . 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.

S

AI Applications Ops Lead, GPS

Negotiable

Role Overview 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 As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: - Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies. - Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment. - Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability. - Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks. - Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again. - Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials. - Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases. Ideally, you have: - Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector. - Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI. - System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core. - Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools. - Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them. - Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy. - Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it. For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted. Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process. 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 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 . 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.

S

AI Advisory Principal

Negotiable

Scale AI's Advisory practice is the most forward-leaning bet in our go-to-market motion. We're not waiting for clients to hand us a scope — we get in front of the decision, shape the right AI problems before a build begins, and make Scale the obvious partner for what comes next. Advisory is the structured answer to the question enterprises are already asking us: "What should we build, and where do we start?" It's a discovery and scoping phase that runs before delivery — designed to land bigger contracts, drive more predictable execution, and accelerate expansion. By 2027, it will be Scale's default first engagement with new enterprise clients. As an AI Advisory Principal, you lead Scale's Advisory work in your vertical, end-to-end. In pre-sales, you shape and qualify opportunities alongside Account Executives and sell the Advisory phase to clients. In delivery, you're the Directly Responsible Individual on engagements — owning the client relationship, running the discovery and scoping work, and accountable for the outcome. Underpinning both, you build out the vertical point of view — the industry and AI expertise that makes Advisory credible — and, as one of the function's first hires, help build the Advisory motion itself. This is a hands-on role: you do the advisory work, not just manage it. What You'll Own You own the engagement and the vertical — from the first pre-sales conversation through the final readout. - Lead engagements end-to-end. You're the Directly Responsible Individual on engagements — owning the client relationship, running workshops, leading the final readout, driving the direction, and accountable for the outcome (use-case selection, SOW quality, delivery). You coordinate and direct the Solutions Engineers, Designers, Tech Leads, and DSGs on the engagement without managing them directly. - Sell Advisory in your vertical. You build the approach, lead the Advisory portion of key pre-sales meetings, bring industry roadmap examples from buyer peers, and qualify opportunities with Account Executives — and you represent Scale and Advisory at industry events. - Build the vertical point of view. You develop your vertical's point of view — the AI-shaped problems, best practices, technology and learnings, and buyer-peer and competitor intelligence that make Advisory credible in the field. - Grow the playbook from the field. You surface what's working and what isn't across your engagements, document the patterns and reusable approaches, and work with DSGs to update the Advisory approach based on build feedback. - Manage your Consultant. You manage the Consultant on your engagements and overall — coaching them, giving feedback, and owning their professional development — and you provide input on Consultant hiring. Qualifications Ideally, you’d have - Senior manager or principal equivalent experience at a Tier 1 firm (McKinsey, Bain, BCG ideally); 7+ years of work experience. AI strategy or transformation experience strongly preferred. - Scoping, proposal, and pitching experience — comfortable shaping and selling an engagement, not just delivering it. - The judgment to advise clients directly on where AI creates value — identifying and shaping the right, AI-shaped use cases for their business. - The technical credibility to speak to AI builds credibility and to work closely with Solutions Engineers on feasibility. - A classic consulting toolkit e.g. strategy, operating-model, governance, change management, and exec-ready storytelling to assist clients in developing an AI strategy - Experience designing and facilitating client workshops. - A natural relationship-builder who establishes trusted-advisor credibility early, paired with the judgment to own outcomes independently. - Strategic but hands-on: able to think at the level of a client's AI agenda and still get into the day-to-day work of an engagement. - Willingness to travel 30-60 percent, which can include international trips depending on the account. Nice to Have - Deep expertise in at least one enterprise vertical (Consumer, Financial & Professional Services, Healthcare & Life Sciences) — the industry depth to be credible with senior stakeholders. - 0-to1 experience developing or deploying GenAI applications in an enterprise setting. 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; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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: $207,200 - $259,000 USD 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 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 . 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.

S

AI Advisory Consultant

Negotiable

Scale AI's Advisory practice is the most forward-leaning bet in our go-to-market motion. We're not waiting for clients to hand us a scope — we get in front of the decision, shape the right AI problems before a build begins, and make Scale the obvious partner for what comes next. Advisory is the structured answer to the question enterprises are already asking us: "What should we build, and where do we start?" It's a discovery and scoping phase that runs before delivery — designed to land bigger contracts, drive more predictable execution, and accelerate expansion. By 2027, it will be Scale's default first engagement with new enterprise clients. As an AI Advisory Consultant, you sit at the center of every engagement — paired with a Principal, producing the research, synthesis, impact sizing, and workshop materials that shape the work, and pressure-testing the team's assumptions. You also run the engagement day-to-day — owning the timelines, trackers, and coordination across Solutions Engineering and Design, and acting as the single source of truth that keeps everything on track from kickoff to final readout. This is a delivery role; you own real parts of the advisory work and partner closely with the Principal to deliver the engagement. It's a direct path into the AI Advisory Principal track. What You'll Own You're at the center of every engagement — doing the work and keeping it on track. - Deliver the core advisory work. You produce the output the engagement runs on — market research, impact sizing, synthesis, and workshop materials — working alongside the Principal. - Run the engagement day-to-day. You own the timelines, trackers, and single source of truth — monitoring open items and follow-ups across Solutions Engineering and Design, and keeping the engagement on track from kickoff to final readout. Working closely with the Solutions Engineering workstream, you weave their technical and feasibility findings into the readouts so the engagement tells one coherent story. - Build the case ahead of client conversations. You develop the research and supporting materials that set up pre-sales conversations to land, and support the Principal in building out vertical thought leadership. - Turn each engagement into reusable knowledge. You own the debrief notes, findings write-ups, and structured hand-offs after each engagement, and you contribute the patterns and materials that improve the motion and playbook. - Build the AI workflows that make us faster. You spot where the team's work can be automated or templatized — recaps, status tracking, synthesized readouts, reusable materials — and you build those AI-powered solutions, not just flag them. You also set up baseline measurement and tracking. Qualifications Ideally, you’d have - Consultant equivalent experience at a Tier 1 firm (McKinsey, Bain, BCG ideally); 3+ years of work experience. Experience on AI strategy or transformation projects strongly preferred. - A track record of structured, analytics-driven problem solving — turning messy, ambiguous inputs into a clear, defensible point of view. - Excellent communication — produces clean, exec-ready first drafts of findings and materials that need little editing. - A history of diligence and organization across multiple workstreams — owns the trackers and details so nothing slips, even under time pressure. - Technical credibility. No engineering degree required. You are curious enough to push back on engineering leads when the architecture or the accuracy story doesn't hold up. - Hands-on with GenAI in daily work — can point to concrete examples of using AI tools to work faster. - Commercial instinct. You think in business levers. You articulate ROI without prompting and spot upsell logic the Account Executives missed. - Willingness to travel 30-60 percent, which can include international trips depending on the account. Nice to Have - 0-to1 experience developing or deploying GenAI applications in an enterprise setting. - Exposure to enterprise AI or one of Scale's target verticals (Consumer, Financial & Professional Services, Healthcare & Life Sciences). - Experience designing and synthesizing design-thinking workshops. 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; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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: $141,600 - $177,000 USD 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 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 . 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.

X

Web Engineer - X

Negotiable

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We’re looking for exceptional Fullstack / Web Engineers that can work across the stack but have a passion for frontend development and a keen eye for design. You'll architect and optimize user-facing features that power real-time conversations for millions worldwide. Dive into cutting-edge technologies and scalable backend systems, collaborating with top-tier talent to push the boundaries of web performance and innovation. You have the ability to thrive in a fast-paced environment, where you proactively tackle high-impact challenges that shape the future of social media—perfect for engineers passionate about crafting seamless, responsive experiences that drive global engagement and redefine digital interaction. RESPONSIBILITIES: - Own and drive features from inception and design to implementation and launch, being the web expert on your team. - Build and maintain high-quality, performant products and features, leveraging the most modern and cutting edge web standards, technologies, frameworks, and AI tooling. - Responsible for fullstack features, including user dashboards, personalized experiences, content delivery, interactive tools, assessments, and real-time analytics - Lead architecture, scalability, and reliability decisions for high-concurrency, low-latency systems. - Uphold engineering excellence via testing, monitoring, deployment, and secure data handling. - Drive technical/product decisions with teams and deploy global features to maximize user value. BASIC QUALIFICATIONS: - 2+ years of web development experience. - Expert in TypeScript, Node.js, and modern web frameworks (e.g., React). - Expert in modern CSS/SASS - Experience in high-quality UI and UX design - Proven track record of optimizing applications for performance, security, and offline functionality. PREFERRED SKILLS AND EXPERIENCE: - 5+ years of experience in a web frontend role, working on a large scale consumer app. - Experience with backend development, proficiency in one or more of the following: Rust, Go, Java, Python, Scala. COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .

X

Warehouse Supervisor (Temporary)

Negotiable

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We are seeking an experienced and hands-on Warehouse Supervisor for a temporary assignment to lead warehouse and logistics operations in Jacksonville, Florida or Conroe, Texas. In this role, you will oversee daily warehouse activities, lead a team of logistics and material handlers, and ensure the efficient receiving, storage, staging, and distribution of high-value equipment (servers, networking gear, power and cooling systems, and other critical infrastructure). You will drive safety, accuracy, productivity, and process improvements in a fast-paced, high-growth environment. This is a temporary position ideal for a strong leader with warehouse supervision experience who can quickly establish operational excellence and support aggressive project timelines. Contracts may include the possibility of extension based on business needs. RESPONSIBILITIES: - Lead, coach, and supervise a team of warehouse associates, logistics specialists, and material handlers - Oversee all warehouse operations including receiving, inspection, put-away, picking, kitting, staging, shipping, and inventory control - Ensure high inventory accuracy through cycle counts, audits, and timely system updates in ERP/WMS - Monitor and optimize material flow to support construction and data center operations, including just-in-time delivery - Enforce safety protocols, conduct safety meetings, and maintain a clean, organized, and compliant work environment - Track performance metrics (on-time delivery, accuracy, productivity) and implement continuous improvement initiatives - Coordinate with procurement, carriers, suppliers, and internal stakeholders to resolve issues and meet schedules - Manage inbound and outbound logistics, returns, and reverse logistics for high-value and sensitive equipment - Provide hands-on support during peak periods, including extended hours or weekends as needed - Conduct performance feedback, training, and corrective action as required - Report on warehouse KPIs and escalate risks or bottlenecks to leadership BASIC QUALIFICATIONS: - 4+ years of warehouse or logistics experience, including 2+ years in a supervisory or lead role - Proven ability to lead and develop teams in a fast-paced environment - Strong knowledge of warehouse best practices, inventory management, and safety standards (OSHA) - Experience with ERP/WMS systems and Microsoft Office/Google Suite (especially Excel/Sheets) - Ability to lift up to 50 lbs. unassisted and perform physical tasks in a warehouse or data center environment - Valid driver’s license and willingness to work onsite in Jacksonville, FL or Conroe, TX with flexibility for extended hours PREFERRED SKILLS AND EXPERIENCE: - Background in data center, hyperscale, manufacturing, or technology supply chain environments - Forklift certification and experience with material handling equipment - Familiarity with TMS or advanced logistics tracking tools - Lean/Six Sigma experience or other process improvement certifications - Excellent leadership, communication, and problem-solving skills ADDITIONAL REQUIREMENTS: - This is a temporary position - Comfortable working in environments with noise and varying temperatures SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .