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

Own full-cycle recruiting for go-to-market roles, partnering with sales and other GTM leaders to define hiring plans, anticipate headcount needs, source and close talent, advise on compensation and leveling, and deliver a thoughtful candidate experience. The role focuses primarily on building enterprise sales teams while supporting marketing and select general and administrative hiring in a fast-growing environment.

Build and execute Latent’s security roadmap across cloud, AI, data, application, product, IT, and incident response. The role develops security automations, IAM workflows, secure SDLC practices, AWS and CI/CD hardening, vulnerability management, endpoint controls, and incident detections. It partners closely with engineering, product, legal, GTM, IT, and employees to secure healthcare and AI systems while enabling rapid business growth.

Lead the strategy, architecture, and team responsible for production AI agents and intelligence systems for clinical and operational workflows. Own the Latent Agent harness, evaluation systems, shared AI foundations, reliability, monitoring, and service-level objectives. Guide build-versus-buy and model development decisions, partner with Product and business leaders, and hire and develop a high-performing applied AI organization focused on measurable outcomes.

Owns 340B subject-matter expertise, customer engagement, sales enablement, ecosystem partnerships, regulatory analysis, and product feedback. The role supports strategic opportunities, negotiates partnerships with TPAs and wholesalers, builds executive relationships, develops ROI cases, accelerates deals, and represents the company at industry events. Requires deep 340B expertise, commercial experience, executive communication, partnership development, and willingness to travel 30–40%.

Leads Latent’s partner enablement function by defining strategy, building a trainer team, and creating scalable training infrastructure. Develops role-based curricula, self-service resources, and onboarding programs for clinicians, pharmacists, and healthcare operations users. Establishes adoption and proficiency metrics, partners with Product, Implementation, Account Management, Sales, and Clinical teams, and creates feedback loops to improve product adoption, retention, expansion, and partner satisfaction.

Own the full enterprise sales cycle for high-value healthcare technology deals, from strategic account planning through contract execution. Build C-suite relationships across major health systems, manage complex buying committees, develop ROI-driven business cases, lead pilots and security reviews, negotiate multi-year agreements, and close seven-figure enterprise software contracts. Partner with Product, Customer Success, Solutions Engineering, Legal, and leadership while building pipeline and representing the company at executive events.

Own product strategy, roadmaps, discovery, execution, metrics, and outcomes for enterprise healthcare and clinical AI products. Partner with customers, engineering, design, commercial teams, and leadership to translate complex workflow problems into scalable solutions. Lead initiatives from concept through launch, define requirements, make trade-offs, conduct user research, and continuously improve products using data and feedback.

Own technical recruiting searches end to end, including hiring-manager intake, sourcing, candidate management, pipeline development, interviews, offers, and closing. Build proactive pipelines for software and technology roles, monitor pipeline health, provide market insight, and drive an average of 2–3 hires monthly. Help improve recruiting processes in a fast-growing startup environment.

Own end-to-end product design for clinical AI products, from discovery through delivery. Design complex enterprise workflows for healthcare and operational teams, simplify dense clinical processes, address permissions and edge cases, conduct customer discovery, establish design standards, and partner with engineering on implementation. The role requires strong product thinking, autonomy, collaboration, rapid execution, and high design quality in an ambiguous startup environment.

Lead multiple product engineering teams, mentor engineering leads, hire and develop engineers, define technical strategy and roadmaps, align teams with product and business priorities, and establish engineering management practices as the organization grows.