Top Artificial Intelligence Jobs

Own corporate IT across identity, access, endpoints, networks, SaaS, lab infrastructure, and robotics support. Manage onboarding, device lifecycle, networking, ticketing, procurement, asset inventory, conference-room technology, and endpoint security. Automate repetitive processes with Bash, Python, Ansible, and APIs while supporting engineering workstations, servers, storage, and vehicle data workflows. The role is primarily onsite in San Francisco, includes occasional after-hours on-call participation as the team grows, and requires working in lab and shop-floor environments.

Leads complex cross-functional biotechnology projects from initiation through completion while managing and developing the Project Management team. Establishes project management standards, integrated plans, risk and budget controls, accountability practices, reporting dashboards, and executive escalation processes. Supports preclinical, clinical, regulatory, and drug development initiatives, coordinates external partners, and drives timely delivery across scientific and business functions.

Own the product and engineering operating system, including quarterly planning, six-week release cycles, sizing, release readiness, customer feedback intake, product metrics, dashboards, and reporting. Coordinate cross-functional sign-offs, identify delivery risks, communicate release updates, and connect roadmap work to customer and business outcomes. Build lightweight processes, automations, and AI-assisted reporting for a fast-moving software startup.

Own the roadmap and outcomes for Credo AI’s AI governance solutions, taking research prototypes through validation, beta, and general availability. Lead AI-powered intake, risk mapping, knowledge graph recommendations, vendor risk, and evaluation capabilities. Define product metrics and quality thresholds, test features hands-on, prototype with AI coding tools, engage customers, and partner with Sales, Marketing, Customer Success, and Engineering on packaging, launches, and adoption.

Conducts risk reviews, tests operational controls, supports governance and reporting, evaluates incidents and losses, performs RCSA activities, reviews policies, escalates control issues, and leads remediation and operational loss event activities across Asset Servicing.

Executes operational risk and control reviews, tests processes, analyzes incidents and losses, supports RCSA activities, validates audit remediation, and recommends control enhancements. The role partners with global Operations stakeholders, reviews policies and procedures, monitors regulatory adherence, facilitates risk initiatives, and contributes to control governance, reporting, and strategic change.

Lead operational support for an enterprise CyberArk PAM environment, including monitoring, troubleshooting, incident resolution, root-cause analysis, maintenance, upgrades, integrations, automation, disaster recovery testing, documentation, and compliance evidence. Serve as a senior escalation point while partnering with engineering, infrastructure, application, architecture, and security teams to improve platform reliability, security, and resilience.

Lead Palantir Foundry deployments from problem discovery through implementation and value realization. Engage client stakeholders, design technical solutions, govern project delivery, drive user adoption, identify relevant datasets, measure business impact, and surface expansion opportunities. The role requires technical aptitude, business acumen, project management, strong communication, client relationship skills, and approximately 5% travel in the US and Canada.

Deploy and customize Palantir Foundry and AIP solutions for enterprise clients. Responsibilities include conducting client workshops, building data pipelines and operational workflows with Python and TypeScript, solving complex technical problems, training end users, documenting solutions, and supporting project delivery. The role requires strong data engineering, communication, analytical, and problem-solving skills, along with recent Palantir experience and approximately 5% travel in Canada and the United States.

Build and operate integrations and automations using iPaaS and APIs, ship production AI/LLM agents and workflows, implement identity-driven provisioning (SSO/SCIM/OAuth), and deliver monitored, reliable automations with runbooks while partnering across teams to scale systems.

Own Salesforce implementation and development while building the systems, integrations, automations, workflows, reporting, and dashboards that support scalable go-to-market operations. Partner with sales leadership to optimize pipeline management, prospecting, enrichment, outreach, forecasting, customer handoffs, and revenue technology. Evaluate and integrate GTM tools, improve data architecture, reduce manual work, and experiment with AI-powered workflows in a fast-moving B2B SaaS startup.

Generate qualified pipeline through personalized outbound phone, email, and LinkedIn outreach; re-engage marketing and event leads; partner with Account Executives to engage buying committees; research legal workflows and buyer needs; represent the company at industry events; manage territory plans, qualification processes, and CRM accuracy.

Leads actuarial strategy, health economic research, cost-savings analyses, risk-based pricing, performance guarantees, and financial value demonstrations. Partners with sales, customers, consultants, health plans, and internal teams to communicate healthcare economics and support commercial growth. Analyzes medical and pharmacy claims, evaluates clinical and financial outcomes, presents executive-ready findings, and informs product strategy, market opportunities, and value-based contracting.

Leads actuarial strategy, healthcare economics, cost-savings analyses, risk-based pricing, performance guarantees, and financial value demonstrations. Partners with sales, customers, consultants, payers, and internal teams to communicate clinical and economic impact. Analyzes medical and pharmacy claims, oversees reserves, supports value-based contracting, evaluates new products, tracks healthcare market trends, and presents findings to executive and external audiences.

Leads customer billing, invoicing, collections, revenue accounting, accounts receivable, sales tax, monthly close, reporting, and audit processes. Reviews contracts, resolves billing issues, ensures HIPAA-compliant data handling, and drives billing process improvements while partnering with cross-functional teams and external auditors.

Own post-sale relationships with K-12 school and district partners, including onboarding, implementation, educator training, adoption, renewals, retention, and expansion. Build trusted relationships with educators and district leaders, monitor usage and progress data, resolve implementation issues, maintain account plans and forecasts, and communicate partner feedback internally. The role requires approximately 30–50% travel for school visits, launches, training, and partner reviews.

Own Bloomy’s technology strategy, architecture, product development, AI engineering workflows, data infrastructure, reliability, security, and student data protection. Build across the full stack, operate production systems, improve AI-assisted development and LLM evaluation, and collaborate with the founder on product direction. Hire and lead the engineering team while working closely with educators and school partners to improve classroom usability and learning outcomes.

Serve as Bloomy’s founding engineer, shipping product across the stack, building AI agent orchestration and verification infrastructure, designing telemetry-driven learning systems, and shaping the technical roadmap. Work closely with teachers, students, and districts to translate feedback into product improvements. Own features from specification through production, using AI coding tools while maintaining strong technical judgment and quality standards.

Supports enterprise sales by leading discovery calls, solution presentations, and product demonstrations for insurance brokerage customers. Translates insurance workflows and customer requirements into solution designs, advises on configurations, supports onboarding, provides post-sale guidance, and trains internal teams. Requires deep insurance broker experience, strong communication, consultative selling skills, and Bay Area residency.