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

As a Senior Product Designer, you'll own the design process from concept to launch, creating intuitive experiences for AI-driven legal tools while mentoring other designers.

The Senior Manager, Product Lead will oversee a team of product managers, driving product strategy, talent development, and excellence in AI-powered legal products.

Manage and grow strategic partnerships with managed services providers, develop business plans, drive revenue, and collaborate with cross-functional teams to enhance partner relationships.

Sell Everlaw's eDiscovery SaaS to law firms and enterprise accounts. Prospect, run discovery calls and presentations, negotiate and close new business, expand account footprint, manage full sales cycle with cross-functional teams, and use the sales tech stack to build pipeline and meet quota.

Build and ship user-facing software; collaborate with product and design; mentor engineers; fix product defects; provide on-call support; and contribute to documentation and technical interviews.

Drive new business and close enterprise accounts (AmLaw 200) for Everlaw's cloud-based eDiscovery platform. Lead complex sales cycles from qualification through demo and close, present to senior legal stakeholders, build and manage pipeline, collaborate with SDRs and sales leadership, and meet quota through tailored demos, proofs of value, and continuous process improvement.

The role involves building AI platform capabilities, mentoring engineers, collaborating with teams, and scaling systems for large datasets as part of a legal tech transformation.

As a Staff/Principal AI Engineer, you'll design and implement AI strategies for legal tech, lead engineering teams, and guide AI projects while collaborating across departments.

The Senior Software Engineer will design CI/CD workflows, manage infrastructure as code, provide mentorship, and improve incident management processes while taking ownership of software features and quality.

Lead Everlaw's company-wide enterprise AI program across governance, tooling, adoption, measurement, and vendor/cost management. Build hands-on expertise in AI platforms and agents, evaluate tools with evidence-based rubrics, design reusable enablement playbooks, drive departmental adoption and workflow redesign, measure outcomes, and manage AI spend and vendor relationships while partnering with Legal, Security, IT, Finance, and L&D.