Top Artificial Intelligence Jobs

Owns partner-delivered Fin implementation projects, onboarding and certifying service partners, enabling AI-first customer service deployments, monitoring portfolio KPIs, managing escalations and project risks, and driving partner operational efficiency. Collaborates with Sales, Customer Success, Support, and R&D to ensure customer outcomes, resolve issues, provide product feedback, and conduct quarterly business reviews with service partners.

Owns partner-delivered Fin implementation projects, onboarding and certifying service partners, translating customer requirements into deployment plans, driving AI adoption and portfolio KPIs, managing escalations and project risks, improving partner operations, and coordinating with Sales, Customer Success, Support, and R&D. Leads partner business reviews and ensures delivery quality, customer outcomes, and continuous partner enablement.

Develops enterprise cloud data security and data risk management solutions for prospects and clients. Responsibilities include architecting solutions, delivering proof-of-value engagements and technical demonstrations, consulting with executive stakeholders, coordinating internal resources, supporting partner channels, and contributing to sales and marketing events. The role requires cloud security expertise, knowledge of AWS or Azure, networking, databases, encryption, IAM, privacy, and regulatory frameworks, with travel up to 50% within the assigned territory.

Build and lead Rubrik’s global professional services resource management and capacity planning function. Standardize workflows across NAM, EMEA, and APAC; improve data integrity, reporting, automation, and PSA system adoption; forecast capacity and demand; manage subcontractor partnerships; and provide executives with utilization and talent distribution insights. Partner with delivery, finance, HR, and regional leaders to drive consistent global execution and operational efficiency.

Develop and execute integrated marketing programs for Paymode and Bottomline to generate pipeline, accelerate revenue, strengthen market awareness, and improve customer engagement. Analyze campaign and customer data, optimize marketing investments, champion AI-enabled workflows, personalize audience strategies, conduct testing, and collaborate with sales, product, marketing, analysts, and influencers.

Own and administer content operations platforms, including workflow and digital asset management systems. Define content lifecycle processes, manage platform adoption and user enablement, oversee vendors and licenses, prioritize business requirements, and develop platform roadmaps. Partner with Marketing, Creative, IT, and agencies on integrations and scalable workflows. Implement AI and automation use cases to improve content production efficiency, platform utilization, and marketing execution.

Develop data collection tools, visualizations, dashboards, algorithms, and scripts to analyze structured and unstructured data. Build predictive analytics and machine learning solutions, integrate models into production applications, and create API-based data pipelines. Translate complex data into actionable insights for Air Force mission leaders while managing enterprise-scale data science projects and communicating findings to technical and non-technical audiences.

Lead customer workflow discovery, onboarding, adoption, and pilot engagements for accounting firms using Clark. Manage customer communications, translate audit workflow challenges into product feedback, create and track engineering issues in Linear, and partner with Product and Engineering on prioritization. Improve implementation processes, help customers adopt AI-powered automation, and build trusted relationships with audit professionals across multiple engagements.

Founding Product Designer responsible for defining Clark’s product experience across AI-powered audit and accounting workflows. The role owns design from research and wireframes through production, creates intuitive enterprise workflows, evolves the design system, and collaborates closely with engineering, product, audit experts, and customers. The designer will establish design practices and ensure complex, high-trust software is clear, accessible, reliable, and easy to use.

Own the Custom Algorithms product end to end, including roadmap, model quality, advertiser launches, diagnostics, and scalable delivery. Partner with data science, engineering, sales, and account management to improve campaign performance, accelerate launches, and drive revenue. Translate machine-learning behavior into commercial outcomes, author product requirements, investigate underperforming campaigns, and lead cross-functional stakeholders. The role requires strong ML literacy, commercial product ownership, analytical independence, and excellent communication.

Open application for unconventional talent interested in helping build Ami, a voice-first AI companion for seniors. The role seeks builders who can ship, learn, prioritize amid ambiguity, collaborate across operations and engineering, and contribute to hardware and socially intelligent AI models in a fast-moving startup environment.

Serves as a client-facing investment subject matter expert on artificial intelligence and innovation. Translates how AI supports investment research, portfolio construction, risk management, and decision-making into clear presentations, messaging, and thought leadership. Partners with investment, technology, sales, marketing, communications, and client teams to support acquisition and retention. Monitors AI developments, communicates their market implications, and brings client and industry insights back to the organization. Requires 20–40% domestic and international travel.

Build production-ready AI applications, agents, automation, and developer tools for customer implementations. Develop AI-powered data conversion, testing, configuration, and workflow solutions using LLMs and AWS technologies. Collaborate with Implementation, Engineering, QA, and DevOps teams to integrate solutions into CI/CD pipelines, evaluate emerging AI capabilities, and optimize system reliability, accuracy, and scalability.

The Senior Director Analyst will engage with clients to provide expert advice on identity management technologies, conduct research, produce advisory documents, and deliver presentations.

Leads complex customer-facing and internal technology projects across data center infrastructure, AI, cybersecurity, and digital transformation. Responsibilities include planning, execution, governance, budgeting, risk and issue management, technical readiness validation, cross-functional coordination, customer communication, logistics, reporting, change control, and project closure. The role manages multiple concurrent initiatives, supports PMO maturity and continuous improvement, presents to executives, and mentors junior project managers.

Leads complex AI infrastructure, deployment, cybersecurity, datacenter, and transformation programs. Establishes governance, roadmaps, risk controls, resource planning, executive reporting, and cross-functional accountability. Manages GPU and HPC deployments, customer onboarding, operational readiness, technical workshops, and strategic stakeholder relationships. Drives AI program prioritization, continuous improvement, workforce capability development, and delivery excellence across technical and business organizations.

Commercial and Product Counsel will review and negotiate commercial contracts, advise on product and privacy matters, support technology clients, and improve legal operations. The role involves creating review playbooks, identifying contractual risks, operating internal legal technology, partnering with product and engineering teams, and standardizing scalable workflows. Candidates must be California-barred attorneys with 5–8 years of experience, significant technology company experience, and in-house or sole-counsel experience. The position is in-person in San Francisco and requires a fast-paced, high-responsibility working style.

The Staff Software Engineer will lead the development of cloud-native AI platforms, optimizing AI workload deployment in Kubernetes environments and collaborating with cross-functional teams.

Leads AI transformation for the internal audit function by implementing AI-enabled reporting and documentation solutions, establishing workflows and quality controls, maintaining dashboards, and developing policies, templates, and standards. Oversees audit operations, reporting schedules, training records, resource tracking, executive communications, and departmental processes. Facilitates professional development and ensures consistent, efficient audit deliverables using AI, analytics, and Microsoft Office tools.

Work across AI, backend, and frontend: curate and clean writing datasets, fine-tune large language models, run training experiments, develop metrics and eval sets, build backend services in Python/Django, and implement frontend features with React.

Reports on high school sports and student-athletes across Oregon, covering games, breaking news, features, rankings, polls, previews, awards, and investigative trends. Builds relationships with coaches and athletic directors, monitors social media and regulatory developments, pitches stories, and writes independently under tight deadlines. The role emphasizes digital audience growth through newsletters, social media, video, AI, and reader metrics. It is hybrid in the Portland area and requires reliable transportation, nights, and weekends.

Own Tulip’s revenue data architecture and strategy, using SQL, BI, and AI to improve account targeting, pricing, forecasting, retention, and expansion. Build health scores, churn and upsell models, renewal pricing strategies, and executive-level NRR/GRR reporting. Partner closely with Sales, Customer Success, Services, Support, Finance, Product, and executive leadership while mentoring analysts and commercial teams on data-driven decision-making.

Design, build, and deploy scalable ML pipelines for multimodal neuroscience data. Research, train, and deploy advanced deep learning and reinforcement learning models to predict brain states, detect pathological patterns, and generate personalized neuromodulation parameters. Select AI frameworks and cloud infrastructure, collaborate with computational neuroscientists, and contribute to IP and publications.

Build and maintain scalable AI Search software across the full development lifecycle, including Java and front-end development, ServiceNow administrative tools, search UI components, GraphQL APIs, analytics dashboards, and machine-learning functionality. Own design, coding, testing, deployment, reliability, and performance optimization. Develop automated and manual tests using Jenkins, JUnit, Playwright, Selenium, and related frameworks. Collaborate with Product Owners and engineering teams in Agile Scrum processes while supporting customer-reported search UI and UX issues.

Own a portfolio of post-sale accounts, carrying an individual quota and growing net dollar retention through expansions, product adoption, executive relationship development, and enterprise account navigation. Identify and close growth opportunities, manage procurement and approval processes, translate measurement data into investment, protect account health, and help build Agentio’s account-growth playbook in a fast-paced startup environment.