Top Tech Jobs & Startup Jobs in NYC, NY

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.

Lead AI policy development, regulatory engagement, government relations, and external advocacy in the US and globally. Develop policy positions, respond to rulemakings, advise executives, monitor regulatory changes, build stakeholder relationships, and represent the company with governments, trade associations, standards organizations, and think tanks. Collaborate cross-functionally and advance AI policy research and thought leadership.

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.

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.

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.