Top Artificial Intelligence Jobs

Leads a global 60-person BDR organization responsible for inbound and outbound pipeline generation across public-sector, enterprise, and destination-marketing segments. Develops go-to-market strategy, improves conversion and pipeline velocity, implements AI and sales technologies, establishes performance systems, and partners with Sales, Marketing, Product Marketing, Communications, and Revenue Operations. Oversees playbooks, qualification, coaching, technology adoption, cross-functional alignment, and talent development.

Leads Granicus’s end-to-end AI go-to-market strategy, including commercialization, pipeline generation, strategic enterprise deals, customer value realization, and repeatable sales motions. Builds and manages AI Advisors, Architects, and Value Engineers while partnering across Sales, Product, Marketing, Services, and Customer Success. Establishes performance metrics, develops market feedback loops, enables the field, and translates AI capabilities into differentiated customer and business outcomes.

Leads firmwide legal AI initiatives by identifying use cases, building and implementing AI agents, evaluating emerging solutions, supporting pilots, resolving technical issues, and driving adoption. Collaborates with attorneys, IT, vendors, and leadership to assess risks, document technical limitations, deliver training and content, manage testing milestones, and provide recommendations based on pilot results and use-case data.

Generates demand and qualified opportunities for AI solutions serving government organizations. Conducts high-volume discovery calls, identifies AI and process-automation opportunities, progresses prospects through qualification, and scopes pre-sales engagements. Partners with account executives, BDRs, marketing, revenue operations, and AI specialists while maintaining Salesforce pipeline accuracy. Advises customers on AI use cases, surfaces market insights, and supports bookings across assigned territories.

Staff Product Manager responsible for importing, modeling, governing, and activating contract data across Ironclad’s platform. The role defines data foundations, knowledge graph capabilities, AI agents, integrations, schemas, APIs, quality metrics, lineage, and trust controls. This leader partners across Engineering, AI, Design, Search, Contract Understanding, and business teams to deliver context-aware experiences that support search, analytics, workflows, predictions, recommendations, and automated actions.

Participate in a 12-week technical internship through a software engineering, AI/ML, cloud and DevOps, cybersecurity, data, or research focus area. Interns will contribute to technical projects, participate in Agile ceremonies, research and test solutions, collaborate with mentors and cross-functional teams, document progress, and present a final capstone project. The role is primarily remote with one required onsite summit in Bridgeport, West Virginia.

Lead Hyperbolic Labs’ global marketing function, building the brand and communications strategy for its AI cloud, GPU marketplace, and inference services. Develop product positioning, messaging, and storytelling for technical and enterprise audiences; use quantitative metrics to improve acquisition and engagement; partner with engineering and product teams; and build, recruit, and lead the marketing organization. Manage ecosystem partnerships, community advocates, channel growth, and creative experimentation.

Leads the design and delivery of compliant training for AbbVie’s oncology access and reimbursement organization. Develops learning solutions, facilitates training, coaches participants, provides performance feedback, develops guest and regional trainers, and aligns programs with franchise strategies. Builds stakeholder partnerships across learning, commercial, marketing, and patient services teams; leads cross-functional initiatives; mentors training colleagues; and executes independently.

Develop and adapt generative AI foundation models for protein, antibody, small-molecule, and nucleic-acid design. Curate and encode experimental datasets, fine-tune models, incorporate assay feedback, and collaborate with laboratory teams and clinicians on closed-loop AI-driven therapeutic development.

Lead capability development across full project lifecycles, guiding agile teams in reverse engineering, vulnerability analysis, exploit development, and systems security research. Develop Linux exploitation capabilities, including kernel exploitation, privilege escalation, and persistence. Apply operating-system internals knowledge, AI and machine learning, product security, cryptographic resilience, and anti-forensic techniques while mentoring cyber personnel and supporting national security missions.

Supports computer network operations capability development across the full project lifecycle. Leads agile teams conducting reverse engineering, vulnerability analysis, software and analytic development, malware research, cryptographic solution design, and exploit-related security work. Applies automation, virtualization, AI and machine learning, and network operations expertise to develop resilient capabilities, address system and policy constraints, and counter advanced adversaries in national security environments.

Develop and deploy AI/ML solutions for classified government and intelligence workflows. Responsibilities include building LLM-powered and agent-based automation, integrating AI into operational systems, developing data pipelines, evaluating models, optimizing workflows, and conducting operational testing. The role requires collaboration with mission users, analysts, developers, and leadership while ensuring scalable, reliable, and secure production solutions.

Develop and deliver technical training for SIGINT and RF communications personnel while performing software quality assurance and test engineering. Create test plans and cases, execute automated and manual tests, generate test data, document results, communicate defects, and automate security and performance testing. Train military and government audiences, evaluate training effectiveness, ensure compliance with government standards, and mentor junior personnel.

Identify, develop, negotiate, and close complex enterprise software deals within a defined Southeast territory. Build relationships with senior executives and multiple stakeholders, uncover client needs, create business opportunities through networking and referrals, and position Sprinklr’s Unified-CXM platform. The role requires strong enterprise SaaS sales experience, customer relationship building, industry and competitor knowledge, and the ability to navigate complex, organization-wide sales cycles.

Leads global ecosystem marketing and communications programs, owning operating models, governance, playbooks, partner marketing, content, executive communications, change management, budgets, quality, and value tracking. Manages a global team, oversees signature programs, develops joint messaging, navigates complex stakeholder and partner relationships, and applies AI and technology marketing expertise to scalable marketing initiatives.

Supports the SPARC team by translating complex data and business information into clear visual stories and executive-ready communications. Responsibilities include refining dashboards, creating graphics and diagrams, developing presentations and templates, researching visualization and user experience practices, assisting with strategic messaging, and presenting recommendations to leadership. The intern will collaborate with analysts and business leaders while exploring AI-enabled approaches to content development and information delivery.

Leads social analytics, listening, consumer intelligence, and performance measurement across paid, owned, earned, and influencer marketing. Develops KPI frameworks, dashboards, automated reporting, and data-quality processes; translates social performance data into strategic recommendations and client-ready presentations. Partners with analytics, media, strategy, account, and technology teams to improve workflows and decision-making. Explores AI and emerging technologies to enhance insight generation and reporting.

Conduct outbound phone and email outreach to lawyers, law firms, corporations, and legal decision-makers. Research accounts, identify prospects, qualify leads, handle objections, book meetings, and generate sales-qualified opportunities for regional sales executives. Maintain activity and meeting quotas, collaborate with the sales team, participate in training, and build expertise in a high-energy environment.

Conduct AI research for semiconductor manufacturing equipment, develop and evaluate solutions, translate research ideas into Python or C/C++ code, contribute to existing and new codebases, and share technical insights with the AI research team. Interns will complete meaningful project work, apply Lean principles, collaborate across cultures, and support the organization’s AI/ML research roadmap.

Process engineering intern supporting thin-film development in a research laboratory. Responsibilities include designing process optimization experiments, analyzing tool and metrology data, integrating plasma diagnostic signals, developing and validating reduced-order chamber models, simulating electromagnetic fields and plasmas, and performing supervised laboratory sample preparation and data collection. The role emphasizes Lean principles, continuous improvement, collaboration, and applying statistical, computational, and machine learning methods.

Leads the North American talent acquisition function, managing a distributed recruiting team and delivering hiring outcomes across technical, go-to-market, and corporate roles. Develops workforce and staffing strategies, coaches recruiters and hiring managers, improves structured hiring and candidate experience, and uses recruiting metrics to guide decisions. Oversees recruiting technology, employer branding, agency and RPO partnerships, vendor spend, and AI-enabled process improvements.

Provides technical leadership for enterprise software, cloud, and IT solutions supporting mission-critical customer functions. Designs and maintains secure, scalable AWS architectures; establishes technical standards; evaluates AI/ML and emerging technologies; develops technical roadmaps; and supports modernization and cloud migration. Collaborates with engineers, data scientists, analysts, project managers, stakeholders, and partners while preparing architecture documentation, briefings, and technical guidance. Ensures solutions meet customer mission requirements, security standards, performance goals, and delivery schedules.

Supports responsible AI governance by developing frameworks, conducting fairness and risk assessments, monitoring regulatory requirements, maintaining compliance documentation, educating stakeholders, and improving AI oversight practices. Works across technical, legal, compliance, risk, and business teams to promote ethical, transparent, accountable, and trustworthy AI systems.

Leads business analysis for AI and automation initiatives, identifying adoption opportunities, developing business cases, gathering requirements, and aligning business needs with technical solutions. The role facilitates stakeholder workshops, supports solution design, testing, deployment, change management, governance, and benefits realization. It also advises executives, monitors outcomes, promotes business analysis standards, and mentors junior analysts.

Own the strategy, roadmap, development, delivery, and continuous improvement of AI-powered products. Translate business and customer needs into product requirements, coordinate engineering and AI teams, define success metrics, monitor adoption and ROI, and support responsible AI governance. The role also involves stakeholder management, leadership communication, market and technology evaluation, release planning, and ensuring successful product implementation.