Scale seeks a business-minded Director and Associate General Counsel, Compliance to lead Scale’s corporate compliance program. This role will set the legal standards, governance model, and escalation framework for the program, working closely with cross-functional partners to translate that guidance into practical workflows.

This is a high-impact role for a lawyer who combines strong legal judgment with practical program execution in a fast-moving, high-visibility business.

You Will:

• Advise on anti-bribery and anti-corruption, conflicts of interest, gifts and entertainment, third-party risk, and other sensitive corporate compliance matters.
• Lead or support privileged compliance investigations, remediation, and escalations, coordinating across Legal and with outside counsel where matters involve potential litigation or enforcement risk.
• Develop practical compliance policies, workflows, training, and reporting processes that support Scale’s growth and IPO-readiness.
• Mature Scale’s Enterprise Risk Management process, including risk assessment methodology, risk register governance, mitigation tracking, and leadership reporting.
• Set legal standards for compliance operations, including hotline triage, sensitive matter review, policy governance, training requirements, and remediation escalation.
• Partner across Legal, GRC, Security, Product, Engineering, Finance, People, Public Sector, and other business teams on compliance and IPO-readiness.
• Represent Scale’s corporate compliance function with internal and external stakeholders, including customers, auditors, partners, and regulators.

Ideally, you’d have:

• JD and active bar membership in at least one U.S. jurisdiction.
• 10+ years of legal experience across corporate compliance, investigations, regulatory counseling, GRC, internal controls, or related areas.
• Experience building or scaling compliance programs in high-growth technology or similarly complex environments.
• Strong experience with anti-bribery and anti-corruption, conflicts of interest, third-party risk, hotline governance, and privileged investigations.
• Experience maturing ERM, policy governance, training, remediation tracking, risk reporting, and IPO-readiness or public-company compliance.
• Strong judgment and communication skills, with the ability to work effectively across legal, technical, operational, and executive stakeholders.

Nice to haves:

• Experience with AI governance or regulation.
• Familiarity with government contractor compliance, export controls, or industrial security.
• Experience with multinational compliance programs, including Europe, the Middle East, Asia, and Latin America.

Come join our growing legal team to work on the most exciting issues at the leading edge of AI!

At Scale AI, we are powering the leading AI models and pioneering the next era of advanced AI systems for the world’s largest enterprises and forward-thinking governments. You will join a solutions-oriented legal team in a place where a healthy culture meets high standards and the ambition to shape the future of AI.

You will help grow Scale’s Global Public Sector business across Europe, the Middle East, and Asia. While work variety is guaranteed, in your role you will primarily help build and deploy a range of Generative and Agentic AI systems that deliver real-world impact for governments and public sector entities.

We are looking for a relentlessly curious, open-minded, and action-oriented commercial attorney who has fun negotiating complex agreements and can optimise risk – all while being a great teammate. If you enjoy solving novel challenges while continuously learning and building strong relationships, we’d love to hear from you!

You will:

• Drive Scale AI’s international expansion by enabling market entry and operations outside the US, particularly in support of the Global Public Sector team
• Draft, review, and negotiate a wide range of commercial agreements with global entities, including Sovereign AI deals, master services agreements, and bespoke software development agreements
• Manage complex public tenders as a prime, subcontractor, or consortium partner
• Counsel on privacy and emerging regulatory requirements
• Design, implement, and iterate on policies and processes to manage legal and business risk
• Partner within Legal and across functions and geographies, proactively delivering solutions that move the business forward

Ideally you'd have:

• UK, common law, or EU legal qualification with substantial experience working on English law matters 
• 7+ years PQE in the technology sector across leading law firms, in-house, or government 
• Solid commercial and IP legal skills combined with strong business and technical acumen    
• Extensive experience negotiating complex SaaS and bespoke software development agreements
• Experience with government engagements and public procurement processes
• Familiarity with EU law
• Passion for partnering with Sales and developing practical, risk-optimised solutions 
• A collaborative, low-ego approach to working across the organisation on projects large and small
• An ability to prioritise and the willingness to embrace new challenges as part of a fluid scope of work 

Nice to have:

• Experience with legal issues related to AI, including emerging AI regulatory requirements
• Privacy counselling and regulatory compliance experience
• Experience working at or closely with GCC-based governments and enterprises
• Proficiency in Arabic

Role Summary

Scale is building the infrastructure layer for institutional intelligence — the compounding asset that makes the world's most consequential organizations more capable over time. The Chief of Staff to the VP of Product sits at the center of that work.

This is not a chief of staff role in the traditional sense. This person is not a scheduler, a note-taker, or a communications coordinator. They are an extension of the VP of Product, absorbing context across every workstream, making real prioritization calls, and operating at a level of organized precision that makes the rest of the function run faster.

The right person for this role wants to grow into product leadership and understands that the fastest path there is to operate at close range with someone doing the job. They will be in every room, on every decision, and responsible for ensuring that nothing falls through the cracks, including the principal.

What You'll Do

• Prepare the VP for every significant meeting, external or internal: customer briefings, executive reviews, board-adjacent discussions with the right level of context and the right framing.
• Represent the VP in internal workstreams where her presence isn't required but her perspective is. This means you actually have the perspective, not just her notes.
• Drive follow-through on decisions made in meetings: own the action items, chase closures, and surface blockers before they become problems.
• Build and maintain the operational infrastructure that keeps the product org coordinated. Rhythms, comms, templates, and shared context without it becoming process for its own sake.
• Engage directly with engineering leads, PMs, and go-to-market partners with enough technical and product fluency to move things forward, not just relay information.
• Move people without authority. You will regularly need engineers, PMs, GTM leads, and customers to do things that aren't in their immediate interest to prioritize. You get there by being trusted, well-framed, and well-timed, not by invoking the principal's name.

What We're Looking For

Must-Have Qualifications

• 10 years of experience in product management, technical program management, strategy, or a role with real operational ownership - not coordination.
• Demonstrated record of managing complexity: multiple parallel workstreams, competing stakeholder demands, and ambiguous ownership  and keeping all of it moving without dropping threads.
• Extreme organizational precision. Their systems are legible to others, not just themselves.
• Enough technical fluency to hold a real conversation with a platform engineer. Not deep coding, but genuine comprehension of how systems work: APIs, infrastructure, deployment, architecture at a conceptual level and curiosity to learn.
• The judgment to act on behalf of the principal. 
• Strong, precise written communication. First drafts should be clean. Recaps, briefs, and async updates should require minimal editing.

Scale's Finance Analytics and Data Science team is looking for an experienced data leader to manage a team of analysts and data engineers building internal tools and AI agents that automate workflows across finance and accounting.

In this role, you will lead a small team while staying technically hands-on, working closely with stakeholders across business finance, corporate finance, and accounting to understand their workflows and build systems that enable faster turnaround times with higher degrees of accuracy.

You will guide your team in designing data models, prototyping internal tools, and implementing agent-driven workflows using our internal data infrastructure, system integration tooling, Scale's proprietary AI platform, and emerging AI tools.

We're looking for someone who enjoys solving complex problems, building systems from the ground up, translating ambiguous business needs into scalable technical solutions, and developing the people around them.

Key Responsibilities

• Lead and grow a small team of analysts and engineers, providing technical mentorship, career development, and day-to-day guidance
  
  
• Design and develop end-to-end agent-driven workflows that automate finance and accounting processes, and improve operational efficiency
  
  
• Build scalable data models and pipelines that serve as the foundation for analytics assets (e.g., dashboards), agentic workflows and system automations
  
  
• Partner with stakeholders across finance, accounting, and customer operations to translate business requirements into technical requirements and system designs
  
  
• Collaborate with engineering teams in the development of internal tools to improve Scale’s financial system infrastructure
  
  
• Evangelize and support the adoption of AI-enabled automation across finance and accounting teams

Ideally, you have:

• 6+ years of experience in data analytics, analytics engineering, or data science role
  
  
• 1-3+ years of people management experience
  
  
• Expert knowledge of SQL and Python for data analysis and modeling
  
  
• Experience building internal tools, automation systems, or data products
  
  
• Experience building a reliable transformation layer and pipelines from ambiguous business processes using tools such DBT to create a foundational data models
  
  
• Experience partnering with engineering, and business stakeholders to automate manual workflows
  
  
• Strong problem-solving skills and the ability to operate independently in a fast-paced environment
  
  
• Excellent communication skills and experience working cross-functionally with business stakeholders
  
  
• Familiarity with finance or accounting terminology
  
  
• Experience with BI tools such as Tableau, Metabase, or Looker
  
  
• Familiarity with JavaScript and modern automation tooling is a plus but not required

The Role

As Scale expands, our Recruiting team plays a critical role in meeting ambitious hiring goals. We’re looking for a GTM Recruiter to partner with our Sales and Operations teams. This is a high-impact role where you’ll help shape our hiring strategies, build diverse pipelines, and deliver a world-class candidate experience.

What You’ll Do

• Act as a strategic partner to GTM and AI leaders, developing a deep understanding of their teams, roles, and priorities.
• Lead full-cycle recruiting: from outreach and sourcing through offer negotiation and close.
• Build strong, trust-based relationships with hiring managers and cross-functional partners.
• Use data and metrics to inform decisions, optimize processes, and influence stakeholders.
• Collaborate with recruiting coordinators and sourcers to ensure a transparent, consistent, and candidate-first interview experience.
• Champion inclusive hiring practices to build diverse, high-performing teams.
• Educate and guide hiring teams on interview best practices and market insights.
• Serve as a skilled problem solver, negotiator, and coach throughout the hiring process.

What We’re Looking For

• 4+ years of full-cycle recruiting experience in high-growth, technical environments.
• Proven success hiring for GTM, sales, ops, and/or AI/ML talent.
• Strong ability to use data and insights to influence leaders and drive decisions.
• Excellent written and verbal communication skills, with the ability to distill complex information.
• Skilled in negotiation and market positioning, with up-to-date knowledge of technical talent markets.
• Strong organizational and stakeholder management skills, including Director+ level partnership.

Location

• This a hybrid role is based in our San Francisco office (3 days per week in office)

This is a Contract role, the pay target for this position is  $75 per hour. This position is tied to our San Francisco office and requires coming into the office 3 times a week. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. 

This posting is for candidates who attended the DC SACC '26 and met with a member of our team.

It was great meeting you at the DC SACC 2026! Whether we chatted at our booth or during a session, we’re thrilled to connect with people who are passionate about pushing the boundaries of machine learning and AI.

At Scale AI, our mission is to develop reliable AI systems for the world’s most important decisions. Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. We’re currently growing our team across multiple roles.

If you're excited about the challenges we’re working on, drop your info here, and we’ll make sure someone from our team reaches out if there's a good fit with one of our open roles. Even if the timing isn’t quite right, we’d love to stay in touch.

We look forward to continuing the conversation! In the meantime, you can read more about our work at scale.com/public-sector.

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.

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 a technical program manager (TPM) to lead and coordinate delivery of computer vision workflows for a national security customer. As a TPM on our public sector delivery team, you will own or support a customer account plan, triage customer technical issues, use data and analytics to align internal resources around Scale’s hardest problems, and drive the creation of tools that add direct value to Scale’s Public Sector customers.

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
• Learn technical concepts and tools to necessary depth, leveraging that expertise to create solutions from scratch or drastically improve existing solutions
• 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%

The next frontier for AI is the physical world. At Scale, we're pioneering this shift, moving artificial intelligence from digital spaces into robotics and autonomous systems. Our Robotics team is building the data platform that will power the future of Physical AI. We are looking for a pivotal Solutions Engineer, to be based in our San Francisco Corporate Headquarters.

As a Solutions Engineer, you'll be a trusted technical partner, building deep relationships with some of the world's most innovative model builders and renowned robotics companies.  You will partner closely with Product, Sales and Machine Learning Engineers to guide prospective customers through the pre-sales process, delivering customized demos and pilots that secure the "technical win." You'll define customer technical requirements, develop actionable Statements of Work, and collaborate with the delivery team on initial implementation. Your relentless curiosity about customer needs, combined with your expert knowledge of Scale's products will allow you to design creative and impactful solutions.

This is a critical role that directly influences multi-million dollar contracts and initiatives. You'll travel globally to conduct on-site technical workshops and scope new projects, while also leading demos and pilots for new prospects. You'll be part of a tight-knit, specialized team, influencing a rapidly growing business that is expanding into new product areas.

In this role, you will:

• Partner with Scale Account Executives and Engagement Managers to deliver new customer pilots and grow technical relationships with existing clients.
• Work with Product Engineering and Product Management to influence our product roadmap based on your frontline insights.
• Become a domain expert in next-generation Robotics and physical AI (e.g. VLMs, VLAs, World Models)
• Be accountable for the technical customer experience and commercial growth, expanding relationships and use cases with existing customers.
• Collaborate with highly technical engineers at our customer sites to ensure satisfaction with our data, software platforms, and workflows.
• Design and develop playbooks, demos, and other tools to ensure efficient and successful pilots and customer expansions.
• Pioneer the development of a global Robotics Data Marketplace, actively seeking out and engaging with key international partners to build a comprehensive data ecosystem.
• Evangelize Scale by interacting with customers at major industry events and academic conferences.

You have:

• A strong engineering background, preferably in Robotics, Mechatronics, Computer Science, Mathematics, or other Engineering fields.
• 3+ years of experience developing with Python, C++, Java, and/or other scripting languages.
• Hands-on experience in Robotics and Physical AI
• Exceptional project management and interpersonal skills, strong attention to detail, and a strong sense of ownership.
• The presentation skills and technical credibility to speak confidently with a variety of stakeholders, from executives to front-line engineers.
• A high level of comfort communicating effectively across internal and external organizations.
• Regular travel within the Bay Area.
• International travel approximately once every two months.
• Intellectual curiosity, empathy, and the ability to operate with a high degree of autonomy.

Bonus points if you have:

• Prior sales, solutions engineering,  or partnership experience with a track record of successfully achieving quota.
• Ideally would have experience selling complex technical solutions to enterprises with deal sizes of $500K to $5M+.

Scale AI operates a global two-sided marketplace. On the demand side, AI labs and enterprises need high-quality training data. On the supply side, 500,000+ contributors across 100+ countries perform the annotation, evaluation, and data-generation work that makes frontier AI possible. For example, our contributor network includes Math PHDs from Vietnam, law professors at top colleges and investment bankers modeling efficient capital structures - all in service of training next-gen AIs. Keeping this marketplace trustworthy and free from fraud is foundational — to contributor experience, to customer data quality, and to the health of the business.

We are looking for a senior Product Manager to lead Trust & Safety at Scale. This is a high-autonomy, high-impact role. You will own the product strategy for fraud detection, prevention, and remediation across our contributor ecosystem — building the systems that protect our platform from abuse while preserving a fair, transparent experience for legitimate contributors. T&S at Scale intersects every part of the contributor lifecycle: onboarding, task assignment, quality assessment, and payments. The scope is global, the adversaries are sophisticated, and the stakes are real.

This role requires deep domain expertise in fraud and trust & safety. You should bring a strong point of view on how to build world-class T&S systems — because you will be the resident expert. You will set the vision for moving T&S from a reactive, fire-fighting posture to a proactive, intelligence-driven function with scalable detection and prevention infrastructure.

About the Role:

• You will be the most senior T&S product leader at Scale, reporting directly to the Head of GenAI Product. You will have dedicated engineering, data science, and operations partners, and will work closely with EPD leadership and Delivery Ops.
• T&S at Scale is not a mature function — it has been built reactively over time in response to specific fraud incidents. The platform needs a cohesive strategy that balances fraud mitigation with contributor growth, reduces false positives, and replaces ad-hoc solutions with scalable systems. You will inherit a patchwork of existing tools, signals and products and shape them into a coherent, defensible platform with mature processes.
• The contributor marketplace creates unique fraud vectors: account farming, task manipulation, quality gaming, payment fraud, and collusion — all evolving as AI capabilities change. You need to stay at the leading edge of adversarial behavior in AI-native marketplaces.
• This is a highly cross-functional role. You will collaborate with stakeholders across Ops, EPD, Finance, and leadership. Fires happen weekly. You need to be the person who navigates complexity and drives resolution efficiently.

You will:

• Set the product vision and strategy for Trust & Safety at Scale, shifting the function from reactive incident response to proactive, intelligence-driven fraud prevention
• Own the product roadmap for fraud detection, prevention, and remediation systems — including the Risk Engine, data signals intelligence, anomaly detection, and contributor investigation tooling
• Build a balanced approach to fraud mitigation and growth protection — ensuring T&S interventions don’t unnecessarily throttle the contributor funnel or create friction for legitimate users
• Investigate and deeply understand contributor behavior patterns to identify emerging fraud vectors before they become material
• Drive cross-functional alignment across Ops, EPD, Finance, and executive leadership — independently handling escalations, stakeholder conflicts, and weekly fire drills without requiring constant HM involvement
• Translate complex fraud patterns into clear product requirements for engineering, and partner with data science to build and improve detection models
• Build long-term instrumentation, monitoring, and evaluation capabilities to measure fraud rates, false positive rates, contributor impact, and financial exposure
• Establish business cases quantifying fraud losses and ROI of prevention investments to secure resources and prioritize effectively
• Partner with Finance and Delivery Ops leadership to manage the financial impact of fraud on business profitability

Ideally, you’d have:

• 8–12 years of experience in Product Management in the tech industry, with at least 3–4 years leading Trust & Safety, Fraud, or Risk product teams
• Deep domain expertise in fraud (not security) — specifically consumer product fraud, marketplace fraud, or contributor/gig-economy fraud. FinTech/payments fraud alone is not sufficient; we need someone who understands platform-level abuse and adversarial user behavior
• Track record of building T&S systems at consumer-facing marketplace companies (e.g., Uber, DoorDash, Airbnb, eBay, Instacart) or similar high-growth platforms with global contributor/user bases
• Proven ability to balance fraud mitigation with growth protection — you’ve made hard tradeoff decisions between blocking bad actors and preserving good UX
• Exceptional stakeholder management skills — you’ve navigated complex orgs with Ops, Engineering, and leadership stakeholders who have competing priorities and strong opinions. You handle escalations, build trust, and drive alignment independently
• Strong analytical capabilities — you can investigate contributor behavior data, define fraud metrics, and build detection logic. High proficiency in SQL
• Experience setting ambitious product vision and executing against it — you’ve moved a function from reactive to proactive
• Bachelor’s or advanced degree in a quantitative, engineering, or related discipline

Nice to Have:

• Experience building T&S systems with global/international coverage across diverse contributor populations
• Understanding of AI-enabled fraud vectors and how adversarial behavior evolves as AI capabilities improve
• Experience with contributor/gig-economy platforms specifically (not just consumer marketplaces)
• Experience working at early-to-growth-stage companies where T&S was being built or rebuilt from scratch

Senior Software Engineer, Platform — Connectivity

The Connectivity team owns the core platform that enables Scale to continuously generate, evaluate, and deliver high-quality training data to our customers. Our systems sit at the center of Scale’s data and AI infrastructure, powering large-scale workflows while supporting frontier AI capabilities such as multi-modality, long-horizon reasoning, and agentic behavior.

We’re looking for a senior engineer with deep experience building robust platforms, someone who brings strong architectural judgment, a bias toward correctness and reliability, and the ability to design systems that scale and evolve cleanly over time. This is a backend-heavy role with full-stack expectations and significant ownership from design through long-term operation.

What You’ll Do

• Design and own foundational platform systems that support scalable data generation, evaluation, and bespoke customer delivery across Scale’s ecosystem.
• Architect extensible, production-grade services that can support frontier AI workflows, including multi-modal inputs, long-running processes, and agentic orchestration.
• Build and operate distributed systems at scale, with strong guarantees around correctness, reliability, observability, and cost efficiency.
• Integrate with public LLM APIs and AI services, designing abstractions that are resilient to model churn, latency variability, and evolving usage patterns.
• Design and maintain data transformation and processing systems, supporting complex schema evolution, customization, and high-throughput workloads.
• Partner closely with infrastructure, product, and customer-facing teams to define requirements, shape technical direction, and deliver seamless integration experiences for customers.
• Lead multi-quarter technical initiatives, including authoring and driving a 6+ month technical roadmap for major platform investments.
• Apply strong engineering judgment in ambiguous problem spaces, balancing speed with long-term maintainability and operational excellence.
• Raise the quality bar through thoughtful system design reviews, rigorous code reviews, and mentorship grounded in real-world production experience.

Ideal Experience

• 7+ years of professional software engineering experience, with a strong background in building and operating large-scale, production-grade platforms.
  
  
• Deep expertise in distributed systems and cloud-native architectures, including Kubernetes, microservices, event-driven systems, caching, and production databases.
  
  
• Proven ability to lead multi-quarter technical initiatives, work effectively across cross-functional teams, and apply strong architectural judgment in ambiguous environments.
  
  
• Preferred: Experience integrating with public LLM APIs and designing systems that handle scale, reliability, latency, and cost tradeoffs.
  
  

Preferred: Experience building or operating data processing and transformation systems supporting complex workflows and evolving schemas.

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are seeking a strong Senior Full-Stack Engineer to help us build, scale, and refine our rapidly growing product. The ideal candidate is deeply grounded in software engineering best practices and experienced in developing and scaling modern web applications end-to-end. You will work across the stack—from React/TypeScript frontends to Python-based backends—while integrating with LLMs and machine learning systems.

You will solve complex challenges in scalability, reliability, and product experience while owning significant product areas in a fast-paced environment.

What You’ll Do

• Own major full-stack product areas, driving features from design through production deployment.
  
  
• Build modern frontend experiences using React and TypeScript, ensuring performance, usability, and responsiveness.
  
  
• Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components.
  
  
• Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences.
  
  
• Deliver experiments and new features quickly, maintaining high quality and tight feedback loops with customers.
  
  
• Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP.
  
  
• Adapt quickly—learning new technologies, frameworks, and tools as needed across the stack.
  
  

Ideal Experience

• 5+ years of full-time engineering experience, post-graduation.
  
  
• Strong experience developing full-stack applications using React, TypeScript, and Python.
  
  
• Experience scaling or shipping products at high-growth startups.
  
  
• Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome).
  
  
• Proficiency with SQL and modern API development.
  
  
• Experience with Kubernetes, containerization, and microservice architectures.
  
  
• Experience working with at least one major cloud provider (AWS, GCP, or Azure).

Scale is looking for an Operations Program Manager (OPM) – Regional Lead (India) to drive system-level improvements, operational performance, and structural reliability across the region. In this role, you will act as both a systems owner and escalation authority—ensuring support workflows are scalable, efficient, and aligned with global standards while adapting to local operational needs.

As our operations continue to expand, this role will be critical in identifying root causes, implementing durable fixes, and driving measurable improvements in key performance metrics. You will serve as the bridge between frontline execution and system design, ensuring consistency, stability, and continuous improvement across regional operations.

You will be part of a highly collaborative and impact-driven team, working closely with Team Leads, SMEs, Product, Engineering, and Operations stakeholders. This role is ideal for someone who thrives in ambiguity, enjoys solving complex operational challenges, and is relentless in driving high-quality outcomes at scale.

You will:

• Identify recurring issue patterns and structural inefficiencies across the region

• Lead retrospectives on operational breakdowns and implement durable, system-level fixes

• Act as the escalation partner for complex and high-risk regional cases

• Define and drive regional KPI improvements across SLA, CSAT, backlog health, and escalation rates

• Track and measure the impact of operational changes and interventions

• Influence SOPs, macros, and documentation to improve clarity and reduce ambiguity

• Partner with Enablement to build scalable regional training programs

• Act as a regional training lead to reinforce workflows, policies, and quality standards

• Collaborate with Product, Engineering, and Operations to drive tooling and workflow improvements

• Translate frontline insights into clear, actionable requirements for system enhancements

• Identify risks within workflows and implement safeguards to improve consistency and reliability

• Strengthen auditability and operational defensibility across the region

Ideally you’d have:

• Experience in operations, program management, or process improvement roles in high-volume environments

• Strong analytical and problem-solving skills with a systems-thinking mindset

• Experience leading cross-functional initiatives and driving measurable outcomes

• Ability to identify root causes and implement scalable, long-term solutions

• Strong communication skills across technical and non-technical stakeholders

• Experience working with KPIs such as SLA, CSAT, backlog, and escalation metrics

Nice to haves:

• Experience in support operations, trust & safety, or platform operations

• Familiarity with workflow tools (e.g., Zendesk or similar systems)

• Experience building SOPs, training programs, or documentation frameworks

• Experience working in regional or global operations teams

This is a high-impact role focused on driving regional operational excellence, improving system reliability, and ensuring scalable support infrastructure as we continue to grow.

Scale is at the forefront of powering artificial intelligence. We believe that trust in AI is earned with high-quality data for training, fine-tuning, and evaluating AI systems. Our products are transforming how organizations build and deploy AI. Our customers are the world’s most innovative model developers and enterprise and public sector entities looking to apply AI in their organizations and institutions.

We're looking for an Industrial Security Specialist who will play a vital role in supporting personnel security, physical security and program support. The ideal candidate brings strategic and operational experience, a security-first mindset, and a willingness to engage directly with customers, employees and stakeholders. If you're excited by ensuring the integrity and protection of national security, we invite you to apply.

This Industrial Security Specialist will report to the Industrial Security team with close collaboration with GRC, Workplace, and cross-functional teams to support the Public Sector security strategy for Scale. 

You will:

• Balance the timelines and requirements of US Government contracts while supporting Scale AI Public Sector efforts, accredited facilities, and sensitive R&D initiatives
• Assist in the development and execution of security education and awareness programs
• Conduct audits and inspections to ensure compliance with DoD and company policies
• Support all aspects of personnel security management in working directly with government partners to ensure compliance
• Initiate, review, and submit electronic background investigations to DCSA
• Responsible for mandatory USG reporting as it relates to our personnel, facility, and insider threat programs
• Assists in the protection of government, intellectual, third party and company information from unauthorized disclosures
• Conduct security briefings, debriefings, and annual refresher training for cleared employees
• Ensure frameworks are met for NISPOM, ICDs, SAPs, OPSEC, Insider Threat and continuous evaluation programs.
• Prepare, send, and receive visitor certifications
• Review performance work statements (PWS) or Statements of Work (SOW) for contracts and ensure properly executed DD Form 254s. 
• Coordinate incident response and reporting for security violations or concerns.

Ideally you'd have:

• Active U.S. DoD Top Secret, and willingness to obtain a TS/SCI
• Familiarity with USG information systems, such as DISS, NBIS, NISS, SWFT, e-App
• Experience assisting with the implementation and maintenance of a relevant industrial security program
• Must be able to support work 2-3 days a week from the office
• Knowledge of industrial security procedures (NISPOM, ICDs, other DoD/IC regulations and procedures)

Nice to haves:

• Excellent written and verbal communication- able to align with security strategy, IT and executive teams
• Adaptability and Learning Agility: Willingness to quickly grasp and apply new concepts and stay up-to-date with emerging trends in industrial security
• Willingness to work in a dynamic, high-growth company where speed, adaptability, and judgment are essential
• FSO Program Management for Possessing Facilities certification

Scale AI is looking for an Internal Communications Senior Manager to join our Communications team. Reporting to the Internal Communications Lead, you will be a key driver in building and scaling a world-class internal comms function that connects every employee to Scale's mission, leadership vision, and business milestones. This is a high-impact, cross-functional role that will shape how nearly every team at Scale understands and rallies around company goals.

You will:

• Own and expand internal communications across all business units, building structured programs that help leaders engage and align their teams
• Identify gaps in the current internal comms landscape and design net-new programs, from concept through execution, that meet the evolving needs of a fast-growing, cross-functional organization.
• Partner closely with business unit leaders and chiefs of staff to develop and execute their communications strategies, including AMAs, leadership updates, and mission-critical announcements
• Drive the strategy and execution of company wide channels including all-hands meetings, AMAs, internal newsletters, and Slack channels with the goal of ensuring employees feel informed and connected to Scale's direction
• Develop a cohesive internal communications framework that ladders up to CEO and executive messaging, helping employees understand business performance, company milestones, and strategic priorities
• Act as a strategic advisor to senior leaders on how to communicate with and inspire their teams, improving leader visibility and employee engagement across the organization
• Build and maintain measurement frameworks (e.g., pulse surveys, engagement metrics) to assess program impact and continuously improve internal comms effectiveness
• Collaborate with the broader Communications team on crisis, policy, and corporate storytelling as needed, ensuring internal and external narratives are aligned

Ideally you'd have:

• 6+ years of experience in internal communications, with a proven track record of building and scaling internal comms programs at a fast-growing technology company
• Demonstrated experience advising and partnering with senior leaders and executives on communications strategy, with the ability to influence without authority
• Strong program management skills and the ability to build repeatable, scalable processes across a large, cross-functional organization
• Exceptional written and verbal communication skills, with the ability to craft compelling narratives that resonate with diverse internal audiences

Nice to haves:

• Experience working in a high-growth technology company
• Familiarity with internal comms tools, platforms (e.g., Slack, intranet systems, survey tools) programming, and data-driven approaches to measuring communication effectiveness
• Experience supporting CEO or executive-level communications in a fast-paced environment

Please note that in order to maintain integrity to our Scale titling philosophy, we do not internally use titles such as “senior,” but have levels to reflect seniority. Our Talent Acquisition team works closely with our employees to provide them the opportunity to grow their careers and demonstrate the scope of work in other ways aside from job titles. If you have further questions, please direct them to your recruiter and/or hiring manager, who can provide more insight.

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)

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
• 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
• 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%

Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. 

As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers.

Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer’s use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth.

Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with. 

The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply!

You will:

• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
• Work closely with our customer’s engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas
• Design, develop and maintain playbooks, internal tools, Scale’s documentation and SDKs to quickly get customers set up for long-term success
• Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer
• Be accountable for the customer’s technical experience throughout their time with Scale
• Work with AEs and PMs to identify customer-specific feature requests
• Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations
• Evangelize Scale and interact with customers at major events
• Have an active TS/SCI clearance

Ideally you'd have:

• Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way
• Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals
• Prior experience developing with Python and JavaScript, or other modern software languages
• Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields
• Strong project management and interpersonal skills
• Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers
• High level of comfort communicating effectively across internal and external organizations
• Intellectual curiosity, empathy, and ability to operate with high velocity

Nice to haves:

• Experience in AI
• Experience working in classified environments
• Previous experience as a technical go-to-market resource
• Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment
• Hands-on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment
• Experience automating infrastructure and configuration management using Ansible or similar tools

Scale AI builds the data infrastructure that powers the world’s most advanced AI. We are the trusted data partner behind frontier model makers and enterprise AI teams — providing the high-quality training data, evaluation frameworks, and human-feedback systems that make models smarter, safer, and more capable.

Scale operates as a two-sided marketplace. On the demand side, our customers — leading AI labs and enterprises — need precisely labeled, expert-curated data to train and evaluate their models. On the supply side, we work with a global network of 500,000+ skilled contributors across 100+ countries who perform the complex annotation, evaluation, and data-generation tasks that fuel AI progress. Product Managers at Scale sit at the intersection of these two sides, shaping the systems, tooling, and experiences that make this marketplace work at unprecedented quality and scale.

We are hiring Product Managers across multiple teams within our GenAI organization. These roles span both demand-side products (the tools and platforms our customers interact with) and supply-side products (the systems that power our contributor ecosystem). Each role offers the opportunity to work on high-impact, technically complex problems at the frontier of AI — with dedicated engineering, design, and data science teams.

About the Role

• Scale’s GenAI platform is how the world’s leading AI companies — from frontier model labs to Fortune 500 enterprises — create the training data that makes their models best-in-class. As a PM here, you are building the systems that directly shape AI model quality.
• These roles are deeply cross-functional. You will work with dedicated engineering, design, and data science teams, as well as operations, finance, growth, and customer-facing stakeholders. The problems are technically complex, the pace is fast, and the impact is measurable.
• Whether you are on the demand side (shaping the products customers use to create and evaluate training data) or the supply side (building the systems that power our global contributor marketplace), you will own your product area end-to-end — from strategy to execution to instrumentation.
• Scale is a growth-stage company with the resources of a well-funded leader and the urgency of a startup. PMs here operate with significant autonomy, ship frequently, and are expected to be deeply analytical and hands-on.

Example Product Management Openings:

Task UX (Demand Side) — Own the end-to-end tasking product. You will define how tasks are designed, how contributors interact with multi-turn chat interfaces, and how in-task quality is measured and enforced across diverse conversational modalities. This is a critical surface area for training the next generation of models.

Multi-Dimensional Quality (Demand Side) — Own Scale’s MDQ measurement framework, the CoPilot assisted-annotation experience, and our data pipeline connectivity layer. You will drive the core data quality infrastructure that customers depend on — defining how quality is decomposed, measured, and surfaced, while building AI-assisted tooling that helps contributors produce higher-quality outputs faster.

Pay & Incentives (Supply Side) — This PM owns the payment and incentive systems that serve Scale’s global contributor base. You will ensure 500,000+ contributors across 100+ countries are paid accurately and on time, set pay rates methodically by skill and geography, and design incentive structures that balance cost efficiency, data quality, and contributor satisfaction. This role sits at the intersection of marketplace economics, global payments operations, and contributor experience.

You Will

• Set the product strategy and roadmap for your area, grounded in customer needs, data analysis, and business impact
• Develop and execute a data-driven product roadmap through close collaboration with senior leadership, engineering, operations, data science, analytics, and design
• Translate customer and internal-user needs into clear, well-defined functional and technical requirements backed by data analysis and deep understanding of your users
• Guide and interface closely with engineering and data teams to define scope, review and refine technical capabilities, prioritize projects for release, and identify new opportunities
• Build long-term instrumentation, monitoring, and evaluation capabilities for product performance tracking and insight generation
• Establish business cases and projected return on investment to identify and prioritize opportunities
• Partner with finance and business leaders to manage impact on the profitability and growth of the overall business
• Communicate product vision, strategy, and progress to executive stakeholders and cross-functional partners

Ideally, You’d Have

• 4–10 years of experience in Product Management in the tech industry, with scope appropriate to level (L4: 4–6 yrs, L5: 6–8 yrs, L6: 8–10+ yrs)
• Strong business acumen and analytical rigor, with demonstrated success driving products in ambiguous, high-growth environments
• Experience translating complex technical systems into clear product strategies — comfort engaging deeply with engineering and data science teams
• Excellent communication and stakeholder management skills, capable of influencing across technical and non-technical audiences
• Experience building products from the ground up and iterating through the scaling journey of a business
• Bachelor’s or advanced degree in a quantitative, engineering, or related discipline

Nice to Have:

• Experience in AI/ML, data infrastructure, or marketplace businesses
• Strong understanding of the AI landscape — model training workflows, data labeling, evaluation, and deployment
• Experience with global payment systems, contributor/gig-economy platforms, or trust & safety domains  
• Experience working at high-growth startups or scaling consumer/enterprise platforms

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.

The 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. As our business scales, we are growing the GFD Project Management Office (PMO) to act as the connective tissue that brings structure to ambiguity by aligning teams, organizing cross-functional workstreams, and keeping priorities coordinated across the organization.

As 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. Your focus will be integrating engineering roadmaps, customer delivery timelines, and security constraints to enable successful deployments in complex, isolated environments.

What You Will Do

• Lead as a Horizontal PMO Partner: Serve as a central node within the growing GFD PMO, driving alignment across Engineering, Product, and Design (EPD) initiatives and ensuring priorities remain top-of-mind across the organization.
• Spearhead Niche Initiatives: Take on Scale’s difficult-but-ambiguous problems, breaking them down in a structured way and driving them to successful outcomes. You will dive into both technology and organizational processes to craft effective solutions and gain efficiencies, track resourcing and vendor management, and align internal resources to solve unique organizational, and technical challenges. 
• Bridge EPD, Delivery, and GTM: Act as the primary technical program manager uniting GFD with Product, ML, Mission & Field Engineering, Delivery, and GTM teams to wrangle contractual deliverables across EPD, unblock complex custom integrations, and drive technical milestones against critical contract checkpoints.
• Optimize Cross-Functional Processes: Collaborate with stakeholders across the company to improve processes and procedures, ensuring Scale's continued success.
• Foster Communication: Create an effective feedback loop between all teams within EPD as well as with partner teams like Legal, BizOps, and Partnerships.
• Navigate Ambiguity: Transition AI/ML technologies and processes into working Public Sector products/solutions even when requirements are undefined or ambiguous.

Ideally You’d Have

• Current or past Security Clearance (TS/SCI preferred).
• Proven experience partnering closely with Product and cross-functional Engineering teams to align technical roadmaps, manage dependencies, and drive complex, multi-team initiatives.
• Experience in project management, including planning, organizing, and managing resources.
• A demonstrated capacity to operate effectively and maintain high-quality output within a high-tempo, ambiguous, or chaotic environment.
• Experience in security and compliance, with a focus on cross-departmental collaboration.
• Experience in delivering secure and reliable solutions within classified, isolated, and air-gapped environments.
• Demonstrated understanding of security practices within cloud environments (e.g., AWS, Azure, GCP).
• Experience in a high growth, fast-paced technology company.
• An action-oriented mindset, balancing creative problem-solving with a strong drive to achieve outcomes.

Nice to Haves

• Experience in microservice design and Kubernetes-based container orchestration.
• Experience applying AI or Machine Learning.
• Strong analytical skills, with experience using data analysis tools or software.
• Demonstrated history of fostering cross-functional collaboration with Delivery, Sales, and Engineering teams.
• Backlog refinement & roadmapping experience with tools like Linear and JIRA.
• Proven experience translating complex SOW requirements into tactical engineering deliverables 
• Experience maintaining alignment with organizational capacity planning and delivery timelines.
• Background in Software, Security, or System Engineering.

(Note this role must be based within the continental United States and requires current US Citizenship to support Scale’s Public Sector business.)

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:

1. Building custom AI applications that will impact millions of citizens and government employees
2. Generating high-quality training data for custom LLMs
3. Upskilling and AI advisory services to spread the impact of AI

As a Strategist, you’ll be responsible for growing the Global Public Sector business unit and partnering with technical stakeholders to identify and win major opportunities in the public sector and selected accounts across the GCC. You will develop and execute on a go to market strategy for customer acquisition, navigating a dynamic and often unstructured environment to make impactful decisions. This is a technical role that requires the following:

• A deep interest in AI and data and the ability to articulate technical concepts in simple, precise language
• Experience successfully navigating and partnering with governments and senior stakeholders across the GCC
• Working cross-functionally with Scale Leadership, Product, Marketing, Legal, Finance, Operations, and Compliance to ensure customer success
• An ability to earn trust and develop close relationships with key decision-makers and influencers within accounts
• An ability to uncover business challenges, shape and scope how AI can address these challenges, and build business cases to show the impact and value of Scale’s offerings

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 and be a founding member of our team, we’d love to hear from you.

You will:

• Work closely with Scale Leadership, Head of EMEA, Engagement Management, Account Executives and the EMEA Strategy team on overall GTM strategy across the region
• Work with potential clients to identify impactful AI solutions and shape and scope their high level vision for AI
• Demonstrate the value and impact associated with each AI application
• Navigate complicated organizations, developing relationships, and answering client questions to qualify an identified opportunity to a signed deal
• Build trust and credibility with clients, acting as a reliable AI advisor beyond the core operating capacity of projects
• Specific responsibilities include:
• Customer Communications
• Relationship Management
• AI analysis and thought leadership
• Financial modeling and commercial literacy
• Pitch deck and proposal development
• AI workshop design and execution
• Creating demos of potential AI solutions  using tools like Replit or Lovable
• Measuring and communicating the impact and value of AI applications

Ideally, you’d have:

• 5+ years of public sector sales or consulting experience, and/or sales experience in complex environments  
• A track record of personally shaping and closing $500K to $5M+ deals for complex solutions for public sector accounts
• Experience in building GTM strategies to effectively scale growth 
• Experience in partnering with both business and technical stakeholders to identify challenges and formulating solutions to address them 
• Passion for what you do and the creativity and willingness to think outside of the box
• Demonstrated ability to develop strong consultative relationships with external partners and internal cross-functional teams at all levels
• Experience creating, developing, and communicating executive-level materials
• Written and spoken fluency in Arabic required

Nice to haves:

• Experience selling AI products or services

As an Account Executive, you’ll be responsible for growing the Global Public Sector business unit and partnering with technical stakeholders to identify and win major opportunities in the public sector and selected accounts in Saudi Arabia. You will develop and execute on a go-to-market strategy for customer acquisition, navigating a dynamic and often unstructured environment to make impactful decisions. This is a technical role that requires the following:

• A deep interest in AI and data and the ability to articulate technical concepts in simple, precise language
• Experience successfully navigating and partnering with governments and senior stakeholders across the GCC
• Working cross-functionally with Scale Leadership, Product, Marketing, Legal, Finance, Operations, and Compliance to ensure customer success
• An ability to earn trust and develop close relationships with key decision-makers and influencers within accounts
• An ability to uncover business challenges, shape and scope how AI can address these challenges, and build business cases to show the impact and value of Scale’s offerings

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 and be a founding member of our team, we’d love to hear from you.

You will:

• Work closely with Scale Leadership, Head of EMEA, Engagement Management, Account Executives and the EMEA Strategy team on overall GTM strategy across the region
• Work with potential clients to identify impactful AI solutions and shape and scope their high level vision for AI
• Demonstrate the value and impact associated with each AI application
• Navigate complicated organizations, developing relationships, and answering client questions to qualify an identified opportunity to a signed deal
• Build trust and credibility with clients, acting as a reliable AI advisor beyond the core operating capacity of projects
• Specific responsibilities include:
• Customer communications
• Relationship management
• AI analysis and thought leadership
• Financial modeling and commercial literacy
• Pitch deck and proposal development
• AI workshop design and execution
• Creating demos of potential AI solutions using tools like Replit or Lovable
• Measuring and communicating the impact and value of AI applications

Ideally, you’d have:

• 5+ years of public sector sales or consulting experience, and/or sales experience in complex environments  
• A track record of personally shaping and closing $500K to $5M+ deals for complex solutions for public sector accounts
• Experience in building GTM strategies to effectively scale growth 
• Experience in partnering with both business and technical stakeholders to identify challenges and formulating solutions to address them 
• Passion for what you do and the creativity and willingness to think outside the box
• Demonstrated ability to develop strong consultative relationships with external partners and internal cross-functional teams at all levels
• Experience creating, developing, and communicating executive-level materials
• Written and spoken fluency in Arabic required

Nice to haves:

• Experience selling AI products or services

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.

Scale is looking for a Support Systems & Routing Specialist to own and optimize the core infrastructure powering our contributor support operations. In this role, you will be responsible for configuring and maintaining systems like Zendesk, designing routing logic, and building scalable frameworks that ensure tickets are assigned accurately and efficiently.

As our operations continue to grow, this role will play a critical part in ensuring our support systems scale seamlessly with increasing volume and complexity. You will partner closely with Support Ops, Product, Engineering, and cross-functional stakeholders to translate operational needs into robust system configurations.

You will be part of a highly detail-oriented and systems-driven team, where your work directly impacts operational efficiency and contributor experience. This role is ideal for someone who thrives in building and improving systems that others rely on daily, and who enjoys solving complex operational challenges at scale.

You will:

• Own end-to-end Zendesk configuration, including ticket forms, fields, macros, triggers, automations, SLAs, and views
• Design and maintain routing logic to ensure accurate ticket distribution across skills, queues, and teams
• Build and manage the support agent skills framework (skills, tiers, certifications, queue structures)
• Monitor and optimize queue health, load balancing, and ticket assignment accuracy
• Configure and maintain integrations across support tools and reporting systems
• Troubleshoot system issues and partner with Engineering or vendors when needed
• Collaborate with Support Ops, T&S, TPMs, and Product to implement and improve workflows
• Document system configurations, workflows, and best practices clearly
• Provide training and guidance to stakeholders on system usage and routing logic

Ideally you’d have:

• Experience administering Zendesk or similar support CRM systems
• Experience designing routing logic or managing skills-based systems in high-volume environments
• Strong systems-thinking and analytical mindset
• High attention to detail with the ability to identify risks and inconsistencies
• Experience working cross-functionally with both technical and non-technical stakeholders
• Ability to own and manage complex system configurations end-to-end

Nice to haves:

• Experience working with operational data (Google Sheets, dashboards, reporting tools)
• Familiarity with SQL or data analysis for routing optimization
• Basic scripting knowledge (Python or JavaScript)
• Experience scaling support systems in fast-growing environments

The goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and  unique access to massive datasets to deliver improvements to our customers.

Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like Donovan and Thunderforge. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications.

You will:

• Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers
• Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics
• Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines
• Work with massive datasets to develop both generic models as well as fine tune models for specific products
• Build scalable machine learning infrastructure to automate and optimize our ML services
• Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations
• Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment
• Comfortable with light travel (approximately 10%) for customer interaction and team needs
• This role will require an active security clearance or the ability to obtain a security clearance

Ideally You’d Have:

• Extensive experience with GenAI, Agentic AI, natural language processing, deep learning and deep reinforcement learning, or computer vision in a production environment
• Solid background in algorithms, data structures, and object-oriented programming
• Strong programing skills in Python, experience in Tensorflow or PyTorch

Nice to Haves:

• Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization
• Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments
• Experience with computer vision, generative AI models, large language models, or agentic systems
• Familiarity with ML evaluation frameworks and agentic model design

Scale’s mission is to accelerate the development of AI applications by providing the highest quality data. We believe that robust financial infrastructure is the backbone that allows our researchers and engineers to innovate at scale. Our Accounting team doesn't just record transactions; we build the systems that enable the next generation of AI breakthroughs.

We are looking for a Senior Manager, Technical Revenue Accounting to join our Accounting Team. In this role, you will be the primary orchestrator for revenue integrity at an innovative AI company. You will serve as a technical subject matter expert, architecting solutions for complex transactions and ensuring our financial systems scale as fast as our technology. If you are looking to make a significant impact at the intersection of frontier AI and financial infrastructure, come join us.

You will:

• Lead Revenue Accounting Team: Oversee monthly accounting close activities, including the review of complex journal entries and key account reconciliations including the management and development of a small team.
• Technical Oversight: Ensure strict compliance with ASC 606 and U.S. GAAP; serve as the final word on revenue recognition for both standard and highly bespoke contracts.
• Strategic Collaboration: Partner with Finance and Strategy teams on revenue metrics, flux analysis, and long-range forecasting.
• Audit Readiness: Lead the preparation of consolidated financial statements and footnotes; act as a primary point of contact for external auditors for all revenue related contracts and matters including developing footnotes and other financial reported items.

Ideally you'd have:

• Education: Bachelor’s degree in Accounting; CPA is highly preferred.
• Experience: 7+ years of progressive accounting experience, with a mix of Big 4 public accounting and high-growth industry experience (SaaS preferred).
• Leadership: 1+ years of experience managing and developing high-performing teams.
• Technical Rigor: Deep expertise in ASC 606 and the ability to translate complex technical research into actionable operational policies.
• Agility: A proven track record of problem-solving in a fast-moving, "ambiguity-heavy" environment.
• Systems Fluency: Experience with enterprise-level ERPs and revenue recognition software.

Senior Machine Learning Engineer - Model Evaluations, Public Sector

The Public Sector ML team at Scale deploys advanced AI systems—including LLMs, agentic models, and multimodal pipelines—into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions.

You will:

• Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge–based evaluations.
• Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes.
• Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing.
• Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes.
• Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems.
• Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases.
• Collaborate with operations teams and subject matter experts to produce high-quality evaluation datasets.
• Comfortable with light travel (approximately 10%) for customer interaction and team needs.

This role will require an active security clearance or the ability to obtain a security clearance.

Ideally you’d have:

• Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings.
• Strong programming skills in Python; experience with TensorFlow or PyTorch.
• Background in algorithms, data structures, and object-oriented programming.
• Experience with LLM pipelines, simulation environments, or automated evaluation systems.
• Ability to convert research insights into measurable evaluation criteria.

Nice to haves:

• Graduate degree in CS, ML, or AI.
• Cloud experience (AWS, GCP) and model deployment experience.
• Experience with LLM evaluation, CV robustness, or RL validation.
• Knowledge of interpretability, adversarial robustness, or AI safety frameworks.
• Familiarity with ML evaluation frameworks and agentic model design.
• Experience in regulated, classified, or mission-critical ML domains.

National Security Hackathon Attendees – Stay Connected with Scale AI

This posting is for candidates who attended National Security Hackathon and connected with a member of the Scale AI team.

It was great meeting you at the Hackathon! Whether we spoke at our booth or on the floor, we always enjoy connecting with people who are passionate about advancing AI and machine learning.

At Scale AI, our mission is to develop reliable AI systems for the world's most important decisions. For the past ten years, Scale has been the leading AI data foundry, supporting some of the most exciting advancements in AI, including generative AI, defense applications, robotics, and autonomous systems.

We’re continuing to grow our team across a range of technical and mission-focused roles.

If you're excited about the problems we’re tackling, feel free to share your information here. A member of our team will reach out if there’s a strong fit with one of our open opportunities. And even if the timing isn’t right today, we’d love to stay connected.

We look forward to continuing the conversation. In the meantime, you can learn more about our work at scale.com.

About Scale

At Scale AI, our mission is to accelerate the development of AI applications. For 8 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 the ACE team 

The Agent Capabilities & Environments (ACE) team, part of Scale’s Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. 

About This Role

This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions.

Ideally you’d have: 

• Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes.
• A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.)
• At least three years of experience addressing sophisticated ML problems, either in a research setting or product development.
• Strong written and verbal communication skills and the ability to operate cross-functionally. 

Nice to have:

• Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax. 
• Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents.
• Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc.
• Familiarity with agentic reasoning methods such as STaR and PLANSEARCH 
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment.

Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions.

PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in Canada; visa sponsorship is not available for this role.

About the Program

The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.

What You'll Do

• Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex, domain-specific problems and datasets to rigorously evaluate AI models, and provide expert insights that enhance their accuracy, reasoning, and overall performance. 
• Join the HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
• Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition.

Who Should Apply

• Professional and Academic Background: 5+ years of software engineering or related technical experience, or equivalent domain expertise through academic work (e.g. PhD, postdoctoral research, or faculty experience in Computer Science or related field).
• Skills: Demonstrated coding proficiency and analytical abilities, with deep expertise in one or more of the following programming languages: Python, Java, Rust, Swift, JavaScript, or C++.
• Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration.

Why Join the HFC?

• Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology.
• Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions.
• Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.
• Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location. 

Application Process

1. Apply: We review applications on a rolling basis.
2. Interview: Candidates will meet with the HFC team to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI.
3. Join the Collective: Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship.

PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the country they reside in.

About the Program

The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.

What You'll Do

• Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex, domain-specific problems and datasets to rigorously evaluate AI models, and provide expert insights that enhance their accuracy, reasoning, and overall performance. 
• HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
• Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict, PropensityBench, Professional Reasoning Benchmark).

Who Should Apply

• Professional and Academic Background: 5+ years of software engineering or related technical experience, or equivalent domain expertise through academic work (e.g. PhD, postdoctoral research, or faculty experience in Computer Science or related field).
• Skills: Demonstrated coding proficiency and analytical abilities, with deep expertise in one or more of the following programming languages: Python, Java, Rust, Swift, JavaScript, or C++.
• Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration.

Why Join the HFC?

• Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology.
• Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions.
• Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.
• Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location. 

Application Process

1. Apply: We review applications on a rolling basis.
2. Interview: Candidates will get to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI.
3. Join the Collective: Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship.

PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the United States; visa sponsorship is not available for this role.

About the Program

The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.

What You'll Do

• Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex, domain-specific problems and datasets to rigorously evaluate AI models, and provide expert insights that enhance their accuracy, reasoning, and overall performance. 
  
• HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
• Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict, PropensityBench, Professional Reasoning Benchmark).

Who Should Apply

• Professional and Academic Background: 5+ years of software engineering or related technical experience, or equivalent domain expertise through academic work (e.g. PhD, postdoctoral research, or faculty experience in Computer Science or related field).
• Skills: Demonstrated coding proficiency and analytical abilities, with deep expertise in one or more of the following programming languages: Python, Java, Rust, Swift, JavaScript, or C++.
• Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration.

Why Join the HFC?

• Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology.
• Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions.
• Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments. 
• Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location. 

Application Process

1. Apply: We review applications on a rolling basis. 
2. Interview: Candidates will get to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI.
3. Join the Collective: Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship.

Scale is growing rapidly, and joining the Global Public Sector team is an opportunity to work on one of the most exciting and quickly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work with governments and government-backed entities outside of the United States. 

We develop bespoke solutions that leverage our customers’ proprietary data and expertise to transform their organizations with AI. We work with them to understand their pain points and workflows and then forward deploy our team to build cutting-edge solutions. The applications we build are powered by the Scale GenAI Platform, a full stack product to build, test and deploy frontier AI agents.

• Developing custom AI applications
• Building custom LLMs
• Providing high-quality training data for research and government institutions building LLMs
• Developing partnerships to foster regional talent growth and AI adoption

We are looking for an entrepreneurial and experienced product leader to play a pivotal role in the ideation and development of transformative AI solutions. The ideal candidate has deep experience with AI/ML application development, can think strategically about how to solve a problem, is an excellent listener, is comfortable getting into the weeds operationally, and has a strong understanding of software engineering principles and practices. You will be responsible for owning large AI projects for one or many customers.

You will lead a cross-functional team of engineers, MLEs, and operators to build a highly impactful solution for our customers that will drive millions in revenue for our business as well. 

Responsibilities: 

• Lead design workshops with the client to define custom AI solutions 
• Scope out new AI application use cases across various government entities
• Lead cross-functional development of AI applications and custom LLMs with diverse stakeholders (Engineering + Ops + Go-to-Market)
• Consistently engage with future end-users to solicit feedback and ensure we are prioritizing effectively
• Stay up to date with latest research in applied AI and training custom LLMs
• Scope out model evaluation sets and performance requirements, consistently review results, and iterate on the solution
• Give regular progress updates to the client and Global Public Sector leadership

Minimum Qualifications: 

• 4+ years of experience building products with specific experience within the last 1-2 years building AI-powered products
• Strong technical background (STEM degree) and/or experience building technical software products 
• Strong understanding of generative AI technologies and their applications in both enterprise and consumer settings
• Experience with vibe coding tools (i.e., Replit, Lovable, Bolt, etc.) and design tools (i.e., Figma/Canva/Miro)
• Exceptional leadership, presentation and communication skills with the ability to influence cross-functional teams

Nice to haves:

• Coding experience (Python)
• Proficiency in Arabic, both written and spoken

About the Role

The Head of Financial Systems will own the strategy, implementation, and continuous improvement of Scale AI's finance technology stack. You are a builder-first leader who blends enterprise architecture with AI automation - eliminating manual workflows, tightening the financial data fabric, and enabling the Finance team to move with the speed and rigor the business demands. You will be the primary technology partner to the Finance leadership team, and the person ultimately accountable for the reliability, scalability, and intelligence of every system that touches the financial close, revenue, and spend lifecycle.

Key Responsibilities

ERP Ownership & Optimization Own the full lifecycle of our ERP environment (NetSuite or equivalent), including architecture, configuration, integrations, and roadmap. Ensure the platform reliably supports the General Ledger, AP, AR, Procure-to-Pay, Fixed Assets, Revenue Recognition, Sales Audit, and International Consolidations & Reporting.

Order-to-Cash & Procure-to-Pay Drive end-to-end process excellence across Order-to-Cash (Sales/Revenue Capture, Sales Audit, Billing) and Procure-to-Pay (Direct & Indirect Purchasing). Identify gaps between upstream systems and ERP, and close them through disciplined integration design.

AI Agent Deployment Identify opportunities to replace manual finance workflows with AI/LLM-powered agents. Build and manage internal agents that automate forecasting inputs, variance analysis, close task management, and reconciliation — reducing cycle time and surfacing actionable insights for Finance leadership.

Systems Integration & Data Architecture Design scalable data flows and APIs that connect the ERP to adjacent finance tools (billing, expense, FP&A, treasury) into a cohesive, auditable ecosystem. Ensure clean, governed data movement from source systems to the general ledger and reporting layer.

Operational Excellence & Controls Establish disciplined change management, clear data governance, and measurable SLAs across all financial systems. Stabilize environments to support audit readiness, SOX compliance, and regulatory requirements.Finance Stakeholder Partnership Serve as the primary technology partner to the CFO, Controller, FP&A, and Accounting teams. Translate complex technical constraints into business outcomes and align system roadmaps with Finance's strategic priorities.

Team Leadership Build and lead a high-impact Finance Systems team. Foster a culture of curiosity, speed, and user-centricity — where the team is as proud of a clean reconciliation workflow as any external product shipped.

What You'll Bring

• 8+ years of experience leading finance systems or enterprise application functions in a fast-paced, high-growth environment
• Deep, hands-on knowledge of ERP platforms (NetSuite strongly preferred) across core modules: GL, AP, AR, Fixed Assets, Revenue Recognition, Procure-to-Pay, Sales Audit, and International Consolidations
• Strong understanding of Order-to-Cash and Procure-to-Pay process design, including the touchpoints between upstream sales/procurement systems and the ERP
• Strong understanding of Sox IT General controls and track record implementing them
• Proven track record designing and deploying AI/LLM-powered workflows or agentic systems to improve Finance team efficiency
• Ability to design and govern scalable integrations and data flows across SaaS tools
• Experience influencing Finance leadership, translating technical complexity into clear business decisions
• Proficiency is an iPaaS platform (e.g., Workato, Mulesoft, Boomi, etc.) - Workato Certification is big plus
• Proficiency in Python or SQL to personally prototype, audit, and quality-check automation logic
• Familiarity with adjacent Finance tooling: expense management, FP&A platforms, billing systems, and treasury tools

As a Software Engineer on the Machine Learning Infrastructure team, you will build the "Operating System" for our large-scale GPU clusters. You will architect a high-performance training platform that handles the immense complexity of multi-thousand GPU workloads, ensuring every cycle is used efficiently. Your work directly determines the velocity at which our researchers can train and iterate on the world’s most advanced models.

The ideal candidate is a systems expert who thrives on solving the orchestration, networking, and reliability challenges that emerge at massive scale. You will partner closely with researchers to build a seamless, resilient environment that transforms raw compute into breakthrough AI.

You will:

• Architect and scale a multi-tenant orchestration layer that abstracts away the complexity of GPU clusters, ensuring high utilization and seamless job recovery.
• Design and implement scheduling primitives to optimize the lifecycle of training jobs.
• Develop deep observability and automated health-checking into the training stack to proactively identify and isolate hardware failures
• Evaluate and integrate emerging technologies in the CNCF and AI ecosystem (e.g. Ray, Kueue), making data-driven build vs. buy decisions that balance velocity with long-term maintainability.
• Work closely with Finance and Procurement teams to drive our capacity planning process.
• Participate in our team’s on call process to ensure the availability of our services.
• Own projects end-to-end, from requirements, scoping, design, to implementation, in a highly collaborative and cross-functional environment.

Ideally you'd have:

• 5+ years of experience in backend or infrastructure engineering, with at least 2 years focused on orchestrating ML workloads at scale (100+ GPU nodes).
• Strong programming skills in one or more languages (e.g. Python, Go, Rust, C++)
• Experience with complex compute management systems that cover queueing, quotas, preemption, and gang scheduling.
• Experience with distributed training infrastructure, such as EFA, Infiniband, and topology-aware scheduling.
• Experience with distributed storage systems (e.g. Lustre, S3) as they relate to training throughput
• Expert-level knowledge of Kubernetes internals (Custom Resources, Operators, Admission Controllers) and how they interact with device plugins for specialized hardware.
• 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 distributed training techniques such as DeepSpeed, FSDP, etc.
• Experience with the NVIDIA software and hardware stack (CUDA, NCCL)
• Experience with PyTorch
• Familiarity with post-training algorithms such as GRPO, and with Reinforcement Learning

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.

Scale AI is seeking a highly motivated Senior Accountant to join our growing accounting team and assist in preparing day to day corporate accounting operations, supporting the month end close process, and helping to implement systems and processes that will support Scale as we continue to grow. You’ll have the opportunity to work in a dynamic, fast and high-growth environment.

The ideal candidate thrives in a high-growth start-up, is detail-oriented, and has excellent interpersonal and communication skills. Additionally, the candidate has demonstrated the ability to build scalable cross-functional relationships through systems and process implementation. We hope you will join our team!

You Will:

• Prepare journal entries and day to day corporate accounting activities, support the month end close process, and provide timely and accurate month-end close financials that are U.S. GAAP compliant 
• Build or enhance balance sheet account reconciliation workpaper including reviewing and performing some clean-up of historical reconciliations and related balances
• Collaborate within Accounting and Finance teams on metrics, flux analysis, forecast, and projections and support preparation of the monthly reporting package
• Prepare documents supporting internal and external audits and ensure the successful completion of those audits
• Support the implementation of new systems, tools, and processes to streamline close and build scalable solutions to support the growth of the Company
• Identify and drive process improvements to gain efficiencies and reduce close timeline
• Develop, maintain and improve internal controls which relate to assigned areas

Ideally You Have:

• Bachelor’s degree in Accounting; CPA or in the process of working towards one.
• 3+ years of relevant accounting experience; Combination of public accounting (Big 4 strongly preferred) and industry experience (start-up through to becoming a public Company experience a plus)
• Strong knowledge of U.S. GAAP and SOX
• Experience with general ledger functions and the month end/year end close process is strongly preferred
• Experience with financial audit preparation is strongly preferred
• Proven proficiency of Microsoft Office Suite (Word, PowerPoint, etc); must be highly proficient in Excel
• Excellent writing, oral communication, analytical, organizational, and interpersonal skills with a high attention to detail
• Excellent problem solving skills; project management experience a plus, ability to work in a fast pace environment

Nice to Haves: 

• Direct accounting experience for any/all of the following areas: accruals, investment, internally use software, ASC 842 leases, cloud computing arrangement, stock-based compensation and/or consolidation and Fx.
• Proficiency in SQL, NetSuite, FloQast, Coupa and Jira considered a plus

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

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

Scale plays a critical role in powering the next generation of AI applications across the enterprise. As our customer base grows exponentially, Principal Solutions Engineers operate as senior technical leaders on the front lines—shaping how the world’s most innovative companies adopt, deploy, and scale AI with Scale.

Principal Solutions Engineers are trusted advisors to both customers and internal stakeholders, owning the most complex and high-impact opportunities. They partner closely with Sales, Product, and Engineering leadership to drive technical strategy, secure executive alignment, and deliver differentiated solutions that win and expand strategic accounts. Beyond individual deals, they influence product direction, define best practices, and elevate the capabilities of the broader Solutions Engineering organization.

You will:

• Own technical strategy and execution for the company’s most complex, high-value enterprise opportunities, acting as the ultimate arbiter of the “technical win”
• Serve as a trusted advisor to executive stakeholders (CTOs, Heads of AI, Engineering leaders), guiding long-term AI/LLM adoption strategies
• Architect and lead end-to-end solution design, from discovery through pilots and productionization, across ambiguous and evolving customer requirements
• Drive cross-functional alignment across Sales, Product, and Engineering to unblock critical technical and business challenges
• Define and shape large, multi-phase Scopes of Work, translating ambiguous customer problems into scalable, production-ready solutions
• Lead high-impact customer engagements, including executive presentations, technical deep dives, and workshops
• Influence Scale’s product roadmap by synthesizing customer insights and advocating for high-leverage feature development
• Mentor and elevate other Solutions Engineers, establishing best practices across demos, pilots, and technical sales strategy
• Drive org-level initiatives that improve win rates, shorten sales cycles, and increase the scalability of the Solutions Engineering function

Ideally, you'd have:

• Deep technical background with significant experience in customer-facing engineering roles (pre-sales, forward-deployed, or post-sales) at enterprise scale
• Proven track record of owning and closing complex, multi-stakeholder technical deals with Fortune 500 or equivalent enterprises
• Strong systems thinking and architecture experience across cloud, data, and AI/ML systems
• Hands-on experience with programming languages such as Python, Java, or similar, with the ability to prototype and validate solutions when needed
• Experience operating as a senior technical advisor to executive stakeholders, with strong presence and credibility
• Demonstrated ability to navigate ambiguity, influence without authority, and drive alignment across diverse teams
• Exceptional communication skills, with the ability to translate between business, product, and technical audiences
• High degree of ownership, intellectual curiosity, and bias for action in fast-paced, ambiguous environments

Nice to haves:

• Deep experience with Generative AI / LLM applications in enterprise environments
• Background in forward-deployed engineering or building production-grade ML systems
• Experience in regulated industries such as financial services, insurance, or healthcare

At Scale, we develop reliable AI systems for the world’s most important decisions. The Brand Experience manages all aspects of Scale’s brand, including the company’s front door scale.com. It’s often a prospect's first real experience with our brand and what we build. The Web Experience Manager will lead our small team of developers and designers, and take full ownership of the strategy, operations, and quality of our digital presence.

This role sits at the intersections of brand, engineering, marketing, and design. You'll translate priorities from cross-functional teams into a clear roadmap, hold a high bar for quality, expertly leverage modern AI web tools, and make sure the team has the clarity and support they need to do their best work. You're a people-first leader with enough technical depth to make good calls quickly.

You will: 

Lead the Team

• Own the web roadmap by maintaining, prioritizing, and communicating clearly so the team is always working on what matters most
• Manage and develop a lean team of web developers and designers by supporting career growth, handling resource allocation, and proposing and scoping new initiatives
• Serve as the connection point between the web team and cross-functional partners (Brand, Marketing, and Product) by translating priorities into a well-sequenced backlog, protecting the team's focus

Own Quality & Reliability

• Own the quality of everything that ships by building the testing and review framework, managing deployments, and setting the standard for what "done" means
• Design and run the planning around urgent issues; set clear response-time SLAs for site performance and internal support requests and hold to them
• Build the systems to keep marketing sites secure, performant, and compliant 24/7
• Lead post-mortems after incidents by coordinating the fix, communicating status to stakeholders, documenting learnings with rigor, and adjusting the roadmap accordingly

Manage Our Stack

• Oversee Scale's integrations on web properties by monitoring for performance, output quality, and consistency
• Manage relationships with web vendors, internal security, and IT teams
• Regularly audit the AI tooling to ensure we're using the best tools efficiently, pilot new tools, and flag when something needs to be updated or replaced

Ideally you’d have:

• 4+ years in web management, digital operations, or a related field, including direct people management
• Technical fluency: You’re comfortable in conversations about architecture, deployment pipelines, or front-end frameworks, even if you're not writing the code
• Experience managing AI integrations or APIs: genuine curiosity about how the underlying models work
• Operational instinct: you keep clean documentation, run tight sprint cycles, and treat QA as a feature, not a chore
• Calm under pressure: You're the person who steadies the team when something breaks
• Ambitious and meticulous: You’re motivated by achieving broader business results, and you sweat the small details that compound over time into a reputation for quality

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 custom LLMs
• Upskilling and advisory services to spread the impact of AI

As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.

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:

• Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery.
• Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems. 
• Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability.
• Contribute to core platform features designed to be reused across diverse international client use cases.
• Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture.

Ideally you’d have:

• Bachelor’s degree in Computer Science or a related quantitative field 
• 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python,  Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP.
• Proven ability to architect scalable, production-grade applications with a strong handle on cloud environments and infrastructure health.
• Experience working directly within customer infrastructure to deploy, maintain, and troubleshoot complex, end-to-end solutions.
• A self-starting approach with the technical maturity to navigate ambiguous requirements and deliver reliable software.
• Driven async communication methodologies to reduce communication frictions

Nice to haves:

• Past experience working in a forward deployed engineer / dedicated customer engineer role
• Experience working cross functionally with operations
• Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape

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 custom LLMs
• Upskilling and advisory services to spread the impact of AI

As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.

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:

• Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation
• Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes.
• Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments.
• Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases.
• Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture.
• Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team.

Ideally you’d have:

• Masters or Phd in Computer Science or equivalent deep industry experience in architecting complex, distributed systems.
• 10+ years of full-stack expertise across Python, Node.js, and React, with a proven track record of designing high-scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP).
• Expert ability to design and oversee production-grade ecosystems, ensuring world-class standards for system integrity, security, and long-term scalability.
• Extensive experience deploying and troubleshooting sophisticated end-to-end solutions directly within complex, high-security client environments.
• A self-driven leader capable of resolving extreme ambiguity, mentoring senior staff, and setting the technical vision for the organization.
• A driver of asynchronous workflows and documentation-first cultures to streamline global engineering velocity and reduce friction.
• Proficient in Arabic

Nice to haves:

• Past experience working at a startup as a CTO or founding engineer or in a forward deployed engineer / dedicated customer engineer role
• Experience working cross functionally with operations
• Proven track record of building LLM-driven solutions with the strategic foresight to anticipate landscape shifts and architect future-proof systems.

At Scale, our mission is to develop reliable AI systems for the world’s most important decisions. The Public Sector team is at the forefront of this mission, partnering with government agencies to deploy mission-critical agentic solutions. 

Role Overview

The Public Sector GenAI T&E Product Manager will be a high-horsepower technical leader, defining the vision and owning the roadmap for our evaluation capabilities. This role requires thriving in unscripted, high-stakes environments, as you will be the primary owner for the T&E tech stack—the robust infrastructure required to continuously measure, improve, and prove the superiority and sustained performance of our agentic applications.

Traversing multiple engineering organizations across Scale, you will identify bottlenecks, distill technical friction into actionable plans, and drive execution. You will work across Scale’s commercial and public sector teams to define requirements, ensuring our evaluation services are robust enough for the most demanding government use cases. Key objectives include refining the tech stack that allows ML teams to hillclimb, and surfacing critical performance information to stakeholders.  

Minimum Qualifications (Quantifiable)

• Engineering Depth: 3+ years of experience in software engineering, systems architecture, or highly technical program management. You must be able to read code, understand system architecture, and participate in technical design reviews alongside engineering teams.
• Evaluation Systems Expertise: Proven experience designing, owning the roadmap for, or operating the infrastructure required to continuously measure, improve, and show the performance of AI applications. 
• Problem Distillation: Demonstrated experience taking a vaguely defined problem (e.g., "our evaluation cycles are too slow") and delivering a technical roadmap, resource requirements, and measurable success metrics within a narrow time window.
• Ambiguity Management: Proven track record of taking a project from "stalled/undefined" to "shipped" in a high-pressure environment. You can point to at least two instances where you inherited a failing project and saw it through to production.
• Cross-Functional Leadership: Led multiple projects that required direct alignment between at least three distinct engineering organizations (e.g., Infrastructure, ML Research, and Product).
• Operational Execution: Experience using technical project management frameworks (e.g., Linear) to provide consistent weekly reporting on delivery velocity and blockers to executive stakeholders.

Preferred Qualifications (Nice to Haves)

• Security Clearance: Active Secret, Top Secret, or TS/SCI clearance.
• GenAI Implementation: Practical experience developing or evaluating features built specifically on LLMs, RAG, or autonomous agent workflows.
• Technical Rigor: Advanced degree in Computer Science, Engineering, or a related field.
• Public Sector Expertise: 2+ years of experience working with DoD, IC, or Civil agencies on mission-critical software deployments.

Scale’s Global Public Sector (GPS) team is growing quickly as we work to build reliable AI systems for governments around the world. This is one of the most ambitious and high-impact problems of our time, and we’re assembling a team of sharp, mission-driven operators to help us do it.

We’re looking for a Business Operations & Strategy Associate to support critical initiatives across GPS product, engineering, sales, marketing and core operations. This role is ideal for a highly analytical generalist - someone who thrives in ambiguity and is able to move fluidly between strategic problem-solving and rolling up your sleeves to make the business run better day to day. No task is too small if it drives impact.

You will:

• Help drive the team’s core operating cadence and strategic planning moments, including structuring inputs for business reviews, planning cycles, deep dives and offsites to enable clear decisions and effective execution
• Partner with functional leads to track and pressure-test OKRs and key metrics, helping teams move from goals to measurable outcomes
• Drive preparation for team All Hands by shaping narratives, distilling complex work into clear updates, and ensuring follow-through on commitments
• Collaborate with Sales Operations on forecasting and pipeline reviews to improve predictability and drive tighter execution across the go-to-market team
• Work closely with Product Managers and Product Operations to connect roadmap decisions to delivery capacity, operational constraints, and downstream impact
• Identify and address cross-functional gaps in how we operate - structuring solutions and pushing them through to execution where ownership or process is unclear

Ideally you would have:

• A penchant for digging deeply into the data yourself, thinking from first principles, and iterating quickly to deliver results
• A strong orientation toward outcomes, and a history of being scrappy when it counts
• Low ego and highly collaborative - you’re excited to work alongside smart, humble teammates and do whatever it takes to help the team succeed
• An easygoing 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 in product or project management, taking projects from conception to launch
• Excellent qualitative and quantitative analytical skills

Nice to haves:

• ~3 years at a top-tier consulting firm, or experience in investment banking, private equity, or similar
• Exposure to tech, product or operational roles in a high-growth environment
• MBA a bonus (but not required)

Scale is powering this 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. Our customers include OpenAI, Microsoft, Adept, Stability AI and many more major players in this space!

The Platform team is responsible for building the core abstractions and infrastructure on which the products can be built and iterated rapidly. The team owns how data flows throughout the Scale platform. We’re looking for a database engineer with deep experience building and scaling both structured and unstructured database platforms supporting distributed systems, data-intensive applications, and machine learning infrastructure. You have a growth mindset and are comfortable learning new technologies.

You will:

• Build and mature database foundations for Scale, leveraging industry-standard platforms.
• Collaborate with stakeholders across the organization, such as software developers, platform engineers, machine learning scientists, customer operations, etc.
• Own services or systems and define their long-term health goals, while also improving the health of surrounding components.
• Mentor other engineers and become deeply involved in architectural design and database best-practices.
• Improve our high engineering standards, tooling, and process.
• Work directly with our engineering and sales teams to create backend database solutions to meet their challenging data and security needs.
• Work with our Security Team on security compliance, pen tests and mitigations that improve security across Scale.
• Build systems capable of handling millions of frames of data every day, making it available to both our workforce and our internal teams with high availability.

This role could be a fit if you have:

• 5+ years of industry experience as a database engineer post graduation.
• Engineering experience with building real-time and distributed system architecture.
• Experience designing and self hosting databases on industry standard public cloud platforms
• Deep familiarity with design, architecture, optimization, and tuning multiple database platforms such as MongoDB, Postgres, MySQL, DynamoDB, Redis
• Deep familiarity with SQL query optimization, database indexing, scalability (partitioning/sharding), and replication
• Experience developing and optimizing backup and restore functionality to meet RTO goals
• Intermediate experience in at least one coding language: Typescript, Python, Go, Java, C++ (note that we are mostly language-agnostic and are open to using whatever is the best tech for the problem at hand).
• Experience working with Docker, Kubernetes, and Infra-as-Code (e.g. Terraform); bonus points for experience supporting GPU/ML workloads.

Nice to haves:

• Prior startup experience to help us grow responsibly.
• Experience with AWS, Datadog, ElasticSearch
• Experience with cloud-based data warehouse solutions like Snowflake or Databricks.
• Experience with cost optimization strategies and techniques for database platforms.
• Experience developing and designing intermediary data abstraction layers.
• Mentored and grown members of your team or been a tech lead on large projects.

At Scale AI, we’re not just building AI tools—we’re pioneering the next era of enterprise AI. As businesses race to harness the power of Generative AI, Scale is at the forefront, delivering cutting-edge solutions that transform workflows, automate complex processes, and drive unparalleled efficiency for the largest enterprises. Our Scale Generative AI Platform (SGP) provides foundational services and APIs, enabling businesses to seamlessly integrate AI into their operations at production scale.

We’re looking for a Backend Engineer to help bring large-scale GenAI systems to production. In this role, you’ll build the core infrastructure that powers AI products for some of the world’s largest enterprises—designing scalable APIs, distributed data systems, and robust deployment pipelines that enable production-grade reliability and performance. 

This is a rare opportunity to be at the center of the GenAI revolution, solving hard backend and infrastructure challenges that make AI truly work at enterprise scale. If you're excited about shaping how AI systems are deployed and scaled in the real world, we want to hear from you.

At Scale, we don’t just follow AI advancements — we lead them. Backed by deep expertise in data, infrastructure, and model deployment, we are uniquely positioned to solve the hardest problems in AI adoption. Join us in shaping the future of enterprise AI, where your work will directly impact how businesses operate, innovate, and grow in the age of GenAI.

You Will:

• Design, build, and scale backend systems that power enterprise GenAI products, focusing on reliability, performance, and deployment across both Scale’s and customers’ infrastructure.
• Develop core services and APIs that integrate AI models and enterprise data sources securely and efficiently, enabling production-scale AI adoption.
• Architect scalable distributed systems for data processing, inference, and orchestration of large-scale GenAI workloads.
• Optimize backend performance for latency, throughput, and cost—ensuring AI applications can operate at enterprise scale across hybrid and multi-cloud environments.
• Manage and evolve cloud infrastructure (AWS, Azure, or GCP), driving automation, observability, and security for large-scale AI deployments.
• Collaborate with ML and product teams to bring cutting-edge GenAI models into production through efficient APIs, model serving systems, and evaluation frameworks.
• Continuously improve reliability and scalability, applying strong engineering practices to make AI systems robust, maintainable, and enterprise-ready.

Ideally, You Have:

• 4+ years of experience developing large-scale backend or infrastructure systems, with a strong emphasis on distributed services, reliability, and scalability.
• Proficiency in Python or TypeScript, with experience designing high-performance APIs and backend architectures using frameworks such as FastAPI, Flask, Express, or NestJS.
• Deep familiarity with cloud infrastructure (AWS and Azure preferred), including container orchestration (Kubernetes, Docker) and Infrastructure-as-Code tools like Terraform.
• Experience managing data systems such as relational and NoSQL databases (PostgreSQL, DynamoDB, etc.) and building pipelines for data-intensive applications.
• Hands-on experience with GenAI applications, model integration, or AI agent systems—understanding how to deploy, evaluate, and scale AI workloads in production.
• Strong understanding of observability, CI/CD, and security best practices for running services in enterprise or multi-tenant environments.
• Ability to balance rapid iteration with production-grade quality, shipping reliable backend systems in fast-paced environments.

Collaborative mindset, working closely with ML, infra, and product teams to bring complex GenAI systems into production at enterprise scale.

Scale AI is seeking a highly skilled and motivated Mission Software 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:

• Work directly with customers to understand their problems and translate those into features in Scale’s platform.
• Be open to >50% travel or relocation to a key customer geographic location.
• Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• 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 an active TS/SCI security clearance or the ability to obtain a security clearance.

Ideally you have:

• 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 and JavaScript, or other modern software languages. Familiarity with Node and React is a plus.
• 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) 
• 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
• 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

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)

Scale's Generative AI business is continuing to see tremendous growth and expansion. Engagement Managers (EMs) are the combination of externally customer-facing and internally operationally driven. In this role, you will operate at the center of Scale's most strategic customer relationships, serving as both a trusted operator and thought partner to the world's leading AI research teams. 

You are the frontline of Scale’s contact with our Gen AI customers, working with and being an advocate for customer data leaders and engineering/operations teams. You have a strong interest in how high-quality data can positively influence Gen AI models. You work towards finding not just one-off solutions, but repeatable and scalable ways to ensure we continually deliver.

The ideal candidate builds deep relationships with researchers and customer leads, navigates difficult conversations with confidence, and has a track record of earning new work through the quality of their execution and relationships. They are naturally empathetic and excel at building long-term relationships through diligent problem solving and thoughtful, strategic discussions.

You will:

• Own a portfolio of complex, strategic projects with full accountability for delivery, quality, customer sentiment, and commercial outcomes
• Build and maintain deep, trust-based relationships with customer researchers and leads, serving as a thought partner throughout the project lifecycle
• Navigate difficult customer conversations around pricing, quality, and delivery expectations with confidence and clarity
• Identify and develop expansion opportunities through close customer engagement and a strong track record of execution

Ideally you'd have:

• 5+ years of work experience, with experience in consulting or as a technical product or program management role
• A proven track record in B2B client-facing roles, including building and expanding relationships and navigating complex customer dynamics
• Ability to understand the ML training lifecycle and discuss use cases meaningfully with technical customers
• A technical background (education or professional experience with CS, Engineering, Economics, Statistics, or another STEM field)

Nice to haves:

• Graduate degree (PhD, MS) or research experience in a STEM field
• Experience at a frontier lab or company developing foundational models, or in a technical role at a high-growth AI company
• Hands-on technical experience working with data or AI/ML models, whether through engineering, research, or a technical product role