Top Artificial Intelligence Jobs

Leads the full scope of human resources for a manufacturing site, including employee relations, recruiting, performance management, compensation, training, organizational development, communications, and change management. Partners with site leaders on workforce strategy, lean operating practices, AI and digital HR tools, analytics, organizational design, employee engagement, and workforce reskilling. Supports high-volume hourly hiring and ensures fair, compliant, and effective HR practices across the site.

Supports the design, development, testing, evaluation, and deployment of AI and machine learning solutions for network management and digitization platforms. Responsibilities include data preprocessing, feature engineering, software integration, prototyping, documentation, code reviews, technical presentations, and researching emerging AI/ML technologies.

Leads and transforms an inbound SDR organization supporting product-led growth. Owns pipeline generation, SDR hiring and coaching, lead scoring, routing, automation, reporting, attribution, GTM workflows, and conversion to MRR. Partners with Revenue Operations, Sales, Product, Marketing, and Lifecycle teams to optimize sales engagement, improve efficiency, implement AI-driven processes, and guide organizational change.

Secure Realtor.com’s AI platforms across AWS and GCP by designing agent guardrails, identity controls, containment, supply-chain protections, detection, and incident response. Lead threat modeling, secure CI/CD, AI red teaming, and secure-by-default platform frameworks. Partner with enterprise cybersecurity, build security automation using AI agents, educate teams, evaluate emerging threats and vendors, and advise leadership on AI governance and risk.

Investigate cyberattacks, malware infections, data leakage, policy breaches, and insider threats. Conduct forensically sound collection and analysis of digital evidence from systems, memory, networks, and other artifacts. Support global incident response, collaborate with threat hunters and malware analysts, mentor junior staff, prepare investigation reports, identify root causes, recommend corrective actions, and improve forensic processes and documentation.

Generates qualified sales pipeline by researching and prospecting manufacturing accounts through email, phone, and LinkedIn. Qualifies leads, schedules discovery calls for Account Executives, collaborates with sales and marketing on targeted campaigns, maintains accurate CRM activity data, and provides feedback to improve messaging and outreach strategies.

Leads complex Snowflake implementation and migration programs for enterprise customers, serving as a trusted advisor to executive stakeholders. Owns program strategy, roadmaps, governance, budgets, risks, scope, stakeholder alignment, and end-to-end delivery. Supports sales pursuits, proposals, customer satisfaction, renewals, and process improvements while coordinating customers, partners, and internal teams.

Reports on community news outside Portland by monitoring public information, calendars, meetings, social media, and community conversations. Identifies, verifies, and develops timely stories; interviews sources; produces multiple daily posts; creates short social videos; and uses AI responsibly for research and context. The temporary, full-time role requires reliable transportation, independent work, and flexibility between remote work and the newsroom.

Leads CG Life’s integrated media group across earned, owned, paid, and corporate communications for pharmaceutical and life sciences clients. Responsibilities include setting group strategy, driving revenue and client growth, advising executive stakeholders, developing innovative AI- and data-enabled capabilities, improving media measurement, managing P&L performance, and leading approximately 30 professionals. Requires extensive pharma communications, agency leadership, business development, executive counseling, and integrated media experience.

Bridges military operators and technology teams by translating mission needs into actionable requirements, supporting operational adoption, customer engagement, training, demonstrations, exercises, and field events. Evaluates capabilities in operational environments, gathers feedback, supports requirements and roadmap development, and contributes to customer success and business-development activities. The role requires strong knowledge of military planning and decision-making, trusted customer relationships, an active TS/SCI clearance, and regular travel.

Leads global commercial digital transformation across marketing, sales, and innovation. Develops technology strategies, roadmaps, investment plans, and initiative portfolios; drives adoption of digital, data, and AI capabilities; ensures business value, governance, compliance, customer experience, and operational excellence. Builds stakeholder and partner relationships, oversees budgets and ROI, and develops inclusive, high-performing technology teams through coaching and mentorship.

Develop and improve quantitative equity investment strategies across the full research lifecycle, including idea generation, complex data sourcing, signal construction, statistical and machine learning analysis, portfolio construction, risk modeling, trading cost analysis, and execution. The role requires presenting research findings, collaborating with investment research teams, and applying advanced quantitative methods to real investment problems.

Define and execute the product vision, strategy, roadmap, and priorities for web, mobile, and AI-enabled products. Lead initiatives from discovery through launch and continuous improvement while partnering with engineering, data science, design, security, and business teams. Monitor KPIs, user behavior, product analytics, and model performance to guide decisions. Ensure responsible AI practices addressing privacy, security, data quality, bias, and reliability.

Leads AI/ML and data science products that improve engineering productivity. Translates ambiguous business challenges into scalable, production-grade solutions, shapes scientific direction, ensures methodological quality, mentors scientists, develops reusable frameworks, manages risks and delivery, and collaborates across engineering, data, software, and business teams. Communicates technical tradeoffs to stakeholders and leaders while driving measurable enterprise impact.

Own the enterprise AI assistant product lifecycle, including vision, strategy, roadmap, capability onboarding, entry points, backlog, and production performance. Evaluate AI advancements, conduct research, define requirements, coordinate Agile delivery, manage quality and usage-based costs, and partner with security, privacy, governance, platform, business, and operations teams. Success is measured through routing accuracy, answer quality, cost per interaction, product performance, and employee satisfaction.

Lead the commercial legal function in the Americas by negotiating SaaS, licensing, services, DPA, partner, and vendor agreements. Advise Sales, Marketing, and Operations, develop scalable contract processes and playbooks, support marketing claims, manage disputes and risk, and monitor developments in commercial law, cybersecurity, and AI.

Build and manage CuspAI’s US industrial partnerships pipeline, targeting materials, chemicals, semiconductor, and energy R&D organizations. Source, negotiate, and close complex B2B agreements; translate materials challenges into proposals with scientific and technical teams; expand partner relationships; shape go-to-market priorities and sales processes; provide market feedback to product and leadership; and represent the company at industry events. Regular travel within the US and to Europe is expected.

Manage the AI Strategies group's operating cadence and own projects including acquisition diligence, new business planning, and process implementation. Build models, memos, and presentations for leadership decisions, use AI tools to improve productivity, and develop toward leading transformations, functions, or businesses. The role is an onsite apprenticeship based in Austin for a highly driven, detail-oriented recent graduate or early-career professional.

Owns enterprise sales to major DUS lenders, managing the full process from discovery and pilots through pricing, legal, security review, procurement, and contract close. Builds senior relationships across agency lending, translates lender workflows into product feedback, co-pilots major accounts with the founder, and develops the playbook for expanding across additional lenders.

Lead production AI engineering for a software product, owning AI feature design, model integration, data flows, evaluation, deployment, monitoring, and support. Build automated quality checks, optimize latency and costs, investigate model, data, and interface issues, and release weekly. Establish long-term architecture and serve as the team’s model-related technical expert.

Own the company’s marketing function, including positioning, messaging, product launches, sales enablement, demand generation, field marketing, and brand programs. Translate complex AI products into compelling narratives for financial-services executives, drive measurable pipeline, use AI tools to accelerate marketing execution, and lead a small team while remaining hands-on with content, campaigns, and operational processes.

Lead legal support for AI products, platforms, data infrastructure, enterprise offerings, and career technology. Advise product, research, engineering, operations, and go-to-market teams on AI training data, intellectual property, privacy, regulated data, commercial relationships, contractor platforms, and AI governance. Build scalable legal review workflows, playbooks, templates, provenance documentation, and self-service guidance while partnering with commercial counsel and frontier AI labs.

Own the Responsible AI evaluation framework, evaluation program, and AI transparency standard. Define product vision, strategy, roadmap, features, user stories, and backlogs for AI evaluation tests and benchmarks. Partner with Legal, Privacy, AI engineering, and business stakeholders to prioritize evaluations, coordinate releases, monitor quality, and close findings. The role requires technical experience, product management expertise, Agile SDLC knowledge, and familiarity with Responsible AI frameworks and regulated AI applications.

Provides portfolio management and program analysis for a government customer, including portfolio health assessments, risk mitigation, cost and performance analysis, data collection, predictive modeling, dashboards, metrics, and executive briefings. Maintains SharePoint repositories and portfolio databases, develops policies and business rules, prepares technical documentation, and supports DoD planning, budgeting, interagency interactions, and senior leadership decisions. Requires onsite work at Fort Meade and an active TS/SCI clearance.

Leads technology, data, automation, analytics, and applied AI solutions supporting investment manager research across public and private markets. Translates business requirements into scalable production systems, develops applications and dashboards, improves data quality and governance, and prototypes AI/LLM capabilities. Partners with research, investment, data, technology, operations, and vendor stakeholders while managing complex initiatives, controls, priorities, and adoption.