Jobs at Scale AI

This role involves developing AI applications, focusing on LLMs and agent frameworks, and requires research skills in ML with experience in data strategy.

As a Senior Software Engineer, you'll scale the Scale Generative AI Platform, owning product areas, working across multiple tech stacks, and solving engineering challenges.

This role involves building and optimizing ML systems and frameworks, collaborating with teams to enhance research and development in ML models.

Conduct technical AI safety and alignment research by designing control protocols, monitoring systems, evaluations, threat models, tools, and datasets for frontier AI systems. Investigate deception, sabotage, reward hacking, multi-agent risks, monitorability, and recursive self-improvement. Build ML pipelines and evaluation harnesses, run experiments, collaborate with industry, government, and academia, and publish findings and policy-oriented technical reports.

Own revenue recognition and ensure ASC 606 compliance, review contracts, support month-end close, analyze complex transactions, maintain accounting policies, assess new standards, collaborate cross-functionally, improve processes, and support external audits. The role requires strong U.S. GAAP expertise, technical accounting research skills, and the ability to translate complex guidance into practical solutions.

Lead the architecture and implementation of AI-assisted developer tooling, local development workflows, build and test systems, CI/CD platforms, and deployment processes. Mentor software engineers, establish engineering best practices and governance, configure AI agents and MCP servers, improve development tools and languages, and communicate technical guidance to stakeholders.

Own growth programs that attract, onboard, and retain domain experts for AI systems. Set strategy, manage execution and teams, build expert pipelines, automate sourcing and onboarding with AI, analyze performance, run experiments, and scale successful processes into repeatable playbooks. The role requires strong ownership, data-driven decision-making, program operations experience, team leadership, and hands-on automation skills.

Serve as the finance business partner to the Applications business unit, leading strategic planning, forecasting, financial reporting, KPI development, and complex financial analysis. Manage revenue, delivery, headcount, and expense forecasts; support month-end close; evaluate investments and business opportunities; develop financial models; and improve reporting infrastructure and processes while partnering with leadership and accounting.

Leads quality control for high-impact generative AI programs, managing and developing quality specialists, translating customer requirements into measurable standards, and operating quality systems. Responsibilities include workforce planning, reporting, productivity measurement, defect analysis, root-cause investigation, cross-functional accountability, and development of scalable, technology-enabled quality operations.

Leads the global Corporate Accounting function, including multi-entity month-end close, general ledger, treasury operations, consolidation, policies, controls, and external audit support. Manages accounting leaders and drives process improvement and automation using NetSuite and AI-enabled close tools. Partners with Technical Accounting, Finance, and Tax to implement accounting guidance and scale systems, workflows, and controls while ensuring accurate U.S. GAAP reporting.

Lead architecture, development, reliability, and improvement of foundational data platforms covering storage, streaming, caching, indexing, and warehousing. Collaborate with cross-functional stakeholders, deliver platform features, improve engineering practices and tooling, present technical guidance, and mentor engineers. The role requires extensive distributed systems, cloud, database, containerization, deployment, and large-scale data platform experience, with emphasis on technical leadership and organizational collaboration.

Own and build Scale’s partner marketing function, driving pipeline through AWS, Google Cloud, Microsoft, and other strategic partners. Develop co-sell motions, account mapping, marketplace programs, joint campaigns, partner funding strategies, and executive reporting. Manage partner marketing budgets against pipeline outcomes, improve lead handoffs and opportunity conversion, and collaborate with Partnerships, Sales, Product Marketing, and Operations to package and promote joint offerings.

Leads product marketing for Scale’s enterprise applications business, with a focus on financial services and launching new verticals. Develops positioning, messaging, sales plays, enablement, marketing assets, integrated campaigns, ABM programs, event strategies, and go-to-market playbooks. Partners with sales, product, engineering, growth marketing, field marketing, and communications teams. Measures pipeline and program impact while influencing executive and cross-functional stakeholders.

As an Engagement Management Lead, you'll manage strategic customer relationships, oversee project delivery, and ensure quality outcomes while navigating complex customer dynamics.

Design, build, and maintain foundational platform systems and cloud infrastructure supporting Scale's AI data and RLHF products. Collaborate with cross-functional teams to define features, improve engineering practices, and drive platform reliability, deployment, and CI/CD workflows.

Conduct cutting-edge machine learning research involving frontier models, reinforcement learning, post-training, scalable oversight, synthetic data, safety, evaluation, and alignment. Interns develop and improve production ML systems, research new methods, conduct experiments, and may publish or ship work with mentorship from researchers and collaboration across industry and academia.

Design responsive, accessible, high-performing web experiences for Scale's digital properties, primarily scale.com. Create wireframes, prototypes, high-fidelity mockups, reusable design systems, components, and page templates. Partner with engineers and cross-functional stakeholders to communicate design intent, review implementations, evolve the brand, and improve user experiences. Explore emerging AI tools, interaction patterns, analytics, and experimentation to deliver innovative, scalable digital experiences.

Leads Scale’s global systems integrator partnership strategy, ecosystem expansion, and revenue growth. Responsibilities include selecting and managing GSI partners, negotiating alliance agreements, developing co-sell and joint solutions, enabling certified partner practices, generating sourced and influenced pipeline, and overseeing post-signature execution. The role requires strong relationships with major consultancies, enterprise AI or cloud partnership experience, complex commercial negotiation skills, and the ability to influence cross-functional teams without direct authority.

Leads strategic partnerships with frontier AI labs and foundation model providers. Builds joint go-to-market, co-selling, technology, and commercial partnerships; drives partner-sourced revenue, integrations, joint offerings, and enterprise deployments. Coordinates with sales, product, engineering, research, finance, legal, and marketing teams while tracking the AI model landscape and managing post-signature execution, launches, and business reviews.

Design and develop shared platform systems, foundational data platforms, cloud infrastructure, orchestration, and software delivery tooling. Partner with stakeholders and cross-functional teams to define and deliver features, improve engineering practices, and communicate technical concepts. The role requires expertise in backend systems, distributed systems, public cloud, containerization, databases, orchestration, and CI/CD, with opportunities to support AI-focused products.