Top Artificial Intelligence Jobs

Leads AI workforce adoption and enablement for a government program by assessing learning needs, creating training plans and practical exercises, delivering workshops and coaching, developing proficiency assessments, and measuring adoption. The role guides users in interpreting AI-assisted results, verifying sources, applying human oversight, and using approved AI tools within mission workflows. It also tracks adoption metrics, analyzes feedback and assessment data, coordinates targeted interventions, maintains training records and dashboards, and briefs government stakeholders on progress and improvement opportunities.

Own the Bay Area enterprise sales territory, targeting security leaders across major industries. Drive complex cybersecurity deals from prospecting through negotiation and close, convert pilots into multi-year agreements, expand customer accounts, and build executive relationships. Refine positioning, pricing, and sales processes while feeding market insights back to product and leadership.

Leads 6–8 enterprise Account Executives across the Western U.S., owning bookings, forecasting, pipeline development, major deal execution, hiring, coaching, and cross-functional collaboration. The role requires building repeatable enterprise sales motions, improving multi-product attachment, mentoring sellers, and maintaining strong executive relationships. Travel is required for customer meetings, executive briefings, partner work, and industry events.

Leads 6–8 enterprise Account Executives across the Western U.S., owning bookings, forecasting, pipeline coverage, strategic deals, hiring, coaching, and team development. The role requires direct involvement in major enterprise sales opportunities, cross-functional collaboration, executive engagement, and adoption of MEDDPICC, Salesforce, Gong, Clari, and AI-enabled workflows. Travel is required for customer meetings, executive briefings, partner work, and industry events.

Develop and evaluate AI, generative AI, LLM, RAG, and agentic workflow solutions for pharmaceutical development, manufacturing, regulatory, quality, and supply-chain processes. Build reusable components, apply responsible AI and software engineering practices, validate outputs, and collaborate with scientific and technical stakeholders in regulated environments. The role requires Python development, pharmaceutical CMC knowledge, and communication with technical and non-technical teams.

Leads and scales a regional Forward Deployed Engineering team serving public sector customers. Owns technical discovery, architecture reviews, proposal scoping, delivery quality, executive customer relationships, and production AI workflow deployments. Builds reusable solutions, informs product roadmaps, and develops GSI and consulting partner capabilities. The role also hires, coaches, and sets technical performance standards for engineers.

Own commercial business development across robotics, AI infrastructure, energy, industrial automation, and emerging hardware. Identify and qualify prospects, build executive and technical relationships, manage opportunities through proposals and contract execution, and develop strategic partnerships. Translate customer requirements into manufacturing opportunities, support RFQs and feasibility assessments, build GTM strategies, forecast pipeline, and convert pilot projects into recurring production programs.

Lead ElevenLabs’ US public sector business by developing government relationships, driving AI product adoption and revenue, building strategic partnerships, influencing policy, monitoring AI regulations, and advising leadership. The role spans federal and state institutions, policymakers, industry associations, and coalitions, with emphasis on AI governance, safety, copyright, privacy, transparency, data protection, competition, and digital rights.

Leads the enterprise business intelligence and analytics strategy, roadmap, reporting, dashboards, KPI frameworks, predictive analytics, data governance, and responsible AI practices. Advises executives, oversees analytics delivery and team development, strengthens data quality and self-service reporting, manages priorities and vendors, and drives cross-functional adoption of data-informed decision-making across the credit union.

Lead global communications strategy for OpenAI’s cybersecurity work, including product launches, research, threat reporting, policy initiatives, and major company milestones. Build trusted media relationships, translate complex technical topics into clear messaging, advise senior executives, and coordinate communications across security, product, research, legal, policy, and marketing teams. The role combines long-term strategy with hands-on leadership during high-visibility launches, disclosures, incidents, and rapidly evolving security issues.

Designs and scales experiential learning programs that build employee AI fluency across roles and regions. Responsibilities include needs analysis, curriculum and journey design, tool-specific training for generative AI and Microsoft Copilot, content QA, learner testing, stakeholder collaboration, measurement planning, benchmarking, and responsible AI education. The role partners with HR, technology, analytics, compliance, product, and business teams to drive AI adoption in a regulated enterprise environment.

Leads organizational change and adoption for AI initiatives, Planisware enhancements, workflow automation, and reporting modernization across drug development. Develops stakeholder engagement, communications, training, readiness, and reinforcement strategies; builds change champion networks; tracks adoption and value-realization metrics; supports responsible AI use; and coordinates user acceptance testing, go-live readiness, and post-implementation monitoring.

Own new enterprise business development across the North American technology sector. Prospect and close complex $100K–$1M+ SaaS and AI deals, manage multi-stakeholder sales cycles, conduct value-based discovery and demonstrations, maintain predictable pipelines, exceed revenue targets, and collaborate with regional, solutions engineering, and product teams.

Leads integration and deployment of spectral exploitation tools and environments within large-scale NSG TCPED systems. Translates mission needs into system requirements, performs systems integration, supports architecture and requirements traceability, and advises on technical planning, project management, performance, risk, and interface design. Collaborates with systems engineers, image scientists, and developers to deliver interoperable mission solutions for processing and exploiting literal and non-literal spectral data.

Leads and advises on requirements engineering, architecture, systems integration, reliability, testing, acquisition planning, risk management, and technical strategy across complex GEOINT systems. Coordinates multidisciplinary engineering teams, evaluates cloud and emerging technologies, conducts trade studies and alternatives analyses, and translates mission needs into system capabilities. Requires extensive systems engineering experience, TS/SCI clearance eligibility, and expertise in large-scale government or industry systems, with preferred knowledge of MBSE, AI, cloud, big data, and geospatial technologies.

Leads product marketing for AI security capabilities, including buyer research, win/loss analysis, messaging, launches, technical content, industry adaptation, sales enablement, analyst briefings, and customer advisory programs. Measures program effectiveness and collaborates with product management, sales, competitive marketing, solution marketing, technical marketing, and demand generation. The role requires cybersecurity product marketing experience, technical buyer engagement, identity security knowledge, and understanding of AI-agent risks.

Design and evaluate enterprise software experiences through user research, interviews, surveys, journey maps, wireframes, mockups, prototypes, and usability testing. Collaborate with cross-functional teams to define product functionality, UX patterns, AI/ML workflows, dashboards, procurement flows, taxonomy tools, and admin interfaces. Build reusable Figma components, communicate design decisions, and lead projects from requirements through delivery.

Leads technical sales cycles for robotic automation solutions, including prospecting, discovery, solution development, demonstrations, proposals, negotiation, and closing. Builds client relationships, supports customers before and after sales, coordinates engineering, quality, logistics, and delivery teams, resolves equipment issues, tracks opportunities, and researches robotics technologies. The role requires industrial customer support, technical account management, manufacturing process coordination, and 30% domestic travel.

Oversee programs and launch readiness initiatives across Clearing Operations, coordinating people, processes, and technology. Partner with Product, Engineering, Risk, Compliance, desk leads, and senior stakeholders to ensure operational requirements, regulatory obligations, and efficiency goals are met. Track progress, measure outcomes, communicate updates, and drive multiple medium- to large-scale projects supporting brokerage clearing operations and business growth.

Develop and support AI-enabled applications and automation using Python, .NET, LLMs, machine learning, APIs, and cloud services. Responsibilities include building AI workflows and RAG solutions, integrating enterprise systems, evaluating model performance, troubleshooting applications, and following security, privacy, governance, and responsible AI practices. The role also involves prototyping, testing, documentation, collaboration with business and technical teams, and continuous learning.

Design, develop, commission, and improve automation systems for a scrap-to-rod copper production line. Responsibilities include controls architecture, PLC logic, safety systems, instrumentation, Siemens and Ignition integration, vendor-system commissioning, process-data analysis, machine vision and AI optimization, and internal tooling. The role requires hands-on plant-floor work and ownership from system concept through production ramp-up.

Leads strategic life sciences and pharmaceutical market research engagements, owning account success, client relationships, revenue growth, proposals, and business development. Oversees complex qualitative and quantitative research, manages escalations, develops new offerings and thought leadership, and coaches research leaders and cross-functional teams. Requires pharma or life sciences commercial research expertise, people leadership, strong research design capabilities, and a record of growing accounts and winning new work. The role is remote in the U.S. with occasional client travel.

Drives execution across the Medication Contracting portfolio by developing integrated project plans, coordinating stakeholders and dependencies, tracking risks and decisions, leading stand-ups, managing governance reporting, improving CRM and portfolio processes, and supporting change management. The role also leads selected workstreams and process-improvement initiatives while partnering with health plans, contracting teams, business analysts, and executive stakeholders.

Lead the Credit & Payments product pod, owning credit decisioning, underwriting, servicing, collections, payments, ledger controls, reconciliation, and facility reporting. Set the product roadmap, replace manual operations with software, embed financial products into the platform, and collaborate with engineering, credit, finance, capital markets, sales, executives, creditors, and regulators. Build scalable, compliant lending and money-movement workflows using data and AI.

Leads a sales team to achieve regional revenue quotas and expand market presence. Responsibilities include strategic planning, business development, new account acquisition, existing account growth, recruiting and training account executives, budgeting, coaching, and performance management. The role requires strong technology sales expertise, consistent quota achievement, presentation skills, and a team-oriented approach. It is based in the Greater Philadelphia area with at least two onsite days weekly and requires 30% business travel.