Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

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.

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.

Manage the lifecycle, security, reliability, and cost optimization of large-scale AWS infrastructure. Responsibilities include patching and upgrades, vulnerability remediation, automation with scripting and infrastructure tools, incident response, troubleshooting, monitoring, and compliance. The role requires extensive AWS experience across multi-account environments, Kubernetes and Terraform expertise, operational scripting, cloud security hardening, and monitoring with tools such as Datadog or CloudWatch.

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.