Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions.
\nThe Global Forward Deployments (GFD) organization operates as a critical horizontal layer across Scale, sitting at the intersection of Engineering, Product, Design (EPD), Delivery, and GTM.
\nAs a Technical Program Manager within this expanding PMO, you will drive execution across diverse initiatives by partnering closely with Infrastructure & Security, Product, Software Engineering, Machine Learning, Mission/Field Engineering, Delivery, and Go-To-Market (GTM) teams.
\nThe base salary range for this full-time position in the locations of New York, NY is: $136,000-$260,000 USD The base salary range for this full-time position in the location of Washington DC is: $136,000-$260,000 USD
\nThis 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.
\nEmbedded 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.
\nAgentic Workflows & Automation →
\nAI Tooling & Internal Products →
\nMeasurement & Signal →
\nWe'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.
\nScale 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.
\nCompensation 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.
\nFor pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $74,400-$111,600 USD
\nPLEASE 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.
","enriched_at":1780743904123},{"id":"job_32b7fb46-703","title":"Growth Strategy & Operations Lead","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4701543005","location":"San Francisco, CA; New York, NY","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Operations","description":"We are seeking a Growth Strategy & Operations Lead to helm initiatives that will significantly drive revenue and expansion. This demanding and multi-faceted role requires a unique blend of skills across strategy, operations, and analytics, with the aim to catalyze rapid growth in a dynamic and evolving market.
\nAs a key member of our team, you will drive critical growth projects, collaborating with cross-functional teams including Engineering, Operations, and Go-to-Market. You will develop and enhance growth strategies, funnels and pipelines to meet the needs of strategic customers and market demands. You will oversee the growth operations, ensuring seamless execution and alignment with business objectives.
\nThe ideal candidate will bring a wealth of experience, a deep understanding of growth mechanisms, and a track record of delivering results in high-stakes environments. Compensation packages at Scale for eligible roles include base salary, equity, and benefits.
\nPlease note that our policy requires a 90-day waiting period before reconsidering candidates for the same role.
","enriched_at":1780387589798},{"id":"job_46d772f1-059","title":"Business Development Representative","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4699572005","location":"San Francisco, CA","job_type":"full-time","experience_level":"mid","work_arrangement":"onsite","category":"Sales","description":"The Business Development Representative will report directly to vertical sales leadership and 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.
\nThis role is designed as a bridge into strategic enterprise 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.
\nYou 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 handoff into active enterprise sales cycles.
\nIn this role, you will:
\nIdeally, You Will Have:
\nWe're hiring an engagement manager (EM) to lead and coordinate delivery of agentic workflows who is eager to travel regularly to Europe and ultimately relocate to Germany to be onsite with customers.
\nAs an EM on our public sector delivery team, you will support a large account plan, manage day-to-day execution for customers, and ensure an incredible customer experience.
\nThis role is ideal for someone who blends program leadership, technical fluency, and contract awareness , and who thrives in fast-moving, ambiguous, and mission-driven environments.
\nKey responsibilities include:
\nMust haves:
\nCompensation 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.
","enriched_at":1779501870671},{"id":"job_e50b6150-be4","title":"Staff Forward Deployed AI Engineer, Enterprise","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4694865005","location":"San Francisco, CA; New York, NY","job_type":"full-time","experience_level":"staff","work_arrangement":"remote","category":"Engineering","description":"As a Staff Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments.
\nThis is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows.
\nThe following are some examples of the types of projects we’ve worked on with customers. All of these projects leverage customer data, integrate directly into customers’ existing systems, and are deployed on their infrastructure.
\nFor a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly.
\nWorking with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a “next best action” copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn.
\nWe partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization’s nurses hundreds of hours each week.
\nCompensation 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.
\nFor pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $252,000-$315,000 USD
","enriched_at":1778969112353},{"id":"job_f4c2838c-adf","title":"Senior Staff Forward Deployed AI Engineer, Enterprise","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4694869005","location":"San Francisco, CA; New York, NY","job_type":"full-time","experience_level":"staff","work_arrangement":"remote","category":"Engineering","description":"As a Senior Staff Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments.
\nThis is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows.
\nThe following are some examples of the types of projects we’ve worked on with customers. All of these projects leverage customer data, integrate directly into customers’ existing systems, and are deployed on their infrastructure.
\nFor a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly.
\nWorking with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a “next best action” copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn.
\nWe partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization’s nurses hundreds of hours each week.
\nCompensation 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.
\nFor pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $288,000-$360,000 USD
","enriched_at":1778969096027},{"id":"job_add10c83-783","title":"Senior Forward Deployed AI Engineer, Enterprise","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4694863005","location":"San Francisco, CA; New York, NY","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"As a Senior Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments.
\nThis is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows.
\nThe following are some examples of the types of projects we’ve worked on with customers. All of these projects leverage customer data, integrate directly into customers’ existing systems, and are deployed on their infrastructure.
\nCompensation 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.
\nFor pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $216,000-$270,000 USD
","enriched_at":1778969079660},{"id":"job_e8a27ffb-e9e","title":"Forward Deployed AI Engineer, Enterprise","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4694861005","location":"San Francisco, CA; New York, NY","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"As a Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments.
\nThis is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows.
\nThe following are some examples of the types of projects we’ve worked on with customers. All of these projects leverage customer data, integrate directly into customers’ existing systems, and are deployed on their infrastructure.
\n+ For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly.
\n+ Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a “next best action” copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn.
\n+ We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization’s nurses hundreds of hours each week.
\nCompensation 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.
\nPlease 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
\nPLEASE 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.
","enriched_at":1778969064629},{"id":"job_a800837b-fa5","title":"Product Designer, Global Public Sector","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4565768005","location":"Doha, Qatar ; Dubai, UAE; Riyadh, Saudi Arabia","job_type":"full-time","experience_level":null,"work_arrangement":null,"category":"Design","description":"Do you thrive in the ambiguity and possibility of early stage product design? We're looking for a bilingual Product Designer to help build intuitive, AI-driven experiences for government and enterprise clients across the Middle East.
\nAt Scale AI, we're building the future of AI through high-quality data and world-class design. Our products power critical decisions for businesses and governments worldwide.
\nOwn the entire design process , from raw concept to final implementation , working directly with PMs and engineers to ship impactful products quickly
\nExtract key insights from PM and client feedback and translate them into compelling concepts
\nRespond effectively to multiple stakeholders and align them around a clear design direction
\nDeliver polished verbal communication and visual storytelling using AI tools like Cursor and Claude Design to bring concepts to life
\nMake design decisions informed by research, data, and user insights
\nPlease note that 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.
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