Top AI Jobs in Seattle, WA

Own the full enterprise sales cycle across mid-market and Fortune 500 employers, from territory planning and prospecting through closing. Build relationships with complex buying committees, sell Avante’s AI benefits intelligence platform, conduct demos and proof-of-concepts, co-sell with brokers and consultants, and maintain rigorous pipeline and forecast discipline. The role requires executive-level communication, consultative new-category selling, active use of AI tools, and collaboration across sales, marketing, engineering, customer success, and product.

Leads AI and automation product strategy for disability and absence claims operations. Responsibilities include prioritizing AI opportunities, owning roadmaps, designing human-in-the-loop workflows, defining safeguards and success metrics, partnering with engineering, coaching Product Owners, managing delivery increments, and communicating operational impact to senior leadership.

Own CodePath EDU end to end, developing the product roadmap through faculty and administrator research. Lead LMS integrations, ship AI-powered features, define adoption and retention metrics, improve design quality, and partner with higher education teams to expand institutional adoption. The role requires building and scaling products for professional users across startup and larger-company environments.

Generate sales pipeline through cold calling, email campaigns, LinkedIn outreach, lead research, qualification, and targeted messaging. Identify prospect needs, position solution value, schedule discovery calls, and transfer qualified opportunities to Account Executives. Track activities in Salesforce, build internal relationships, participate in onboarding and product education, and collaborate with fellow representatives to improve sales performance.

Owns strategic planning, governance, prioritization, risk management, and execution across a portfolio of Superintelligence Lab programs. The role establishes phase-gate standards, manages change, tracks portfolio health through dashboards and metrics, resolves blockers, advises cross-functional teams, and communicates progress to executives. It requires strong technical program management experience, Jira proficiency, Agile and SDLC knowledge, and the ability to apply AI technologies to improve business outcomes.

Lead technical pre-sales engagements for large LATAM enterprise customers. Partner with account teams and channel partners, conduct Spanish-language discovery sessions and demonstrations, advocate for Atlassian Rovo and Teamwork Graph, architect customized solutions, and translate complex business challenges into measurable customer value. Build executive relationships, influence cross-functional teams, provide market feedback to Product Management, and support complex, high-stakes enterprise deals.

Own recruiting and selection for Claude Corps fellowship cohorts, including hiring plans, sourcing, pipeline forecasting, selection processes, interviewer training, offer acceptance, and onboarding handoffs. Lead recruiters, screeners, coordinators, and managers; develop team leadership; improve recruiting processes and use data and AI to scale hiring while maintaining candidate quality. Partner with Marketing, Anthropic, program teams, and organizational leaders to meet cohort hiring goals.

Own and grow complex strategic enterprise accounts in mobility and fleet technology. Build executive relationships, identify multi-year growth opportunities, lead sales cycles from discovery through close, and translate HERE’s location, data, and AI capabilities into customer business outcomes. The role requires coordinating internal teams, engaging technical and business leaders, and strengthening HERE’s Bay Area presence.

Provides organization-wide technical leadership for Atlassian’s Dev AI platforms and autonomous developer initiatives. Defines multi-year architectures for agent runtimes, orchestration engines, execution sandboxes, memory systems, and context retrieval. Drives distributed-system architecture, reliability, security, responsible AI governance, evaluation, and operational standards. Leads cross-organizational technical initiatives, resolves architectural ambiguity, mentors senior engineers, partners with product and engineering leaders, and remains hands-on with strategic prototypes and architectural validation.

Analyze sales performance, forecasts, pipelines, and channels to identify efficiency and revenue-growth opportunities. Build Tableau and Salesforce dashboards, deliver insights to leadership, support sales experiments, optimize processes, administer CRM data, and manage incentive and awards reporting. Partner cross-functionally with Sales, Finance, Marketing, Technology, Analytics, and executive stakeholders while evaluating AI and other sales technology solutions.

Leads the global content platform strategy and organization, covering content acquisition, verification, moderation, enrichment, distribution, licensing, and syndication. Defines product vision, roadmaps, quality and trust standards, and AI/ML applications for personalization, summarization, moderation, and structured data. Builds product teams, operating models, talent systems, and succession plans while partnering with technology, legal, policy, trust and safety, marketing, data science, and supply teams.

Leads AI transformation, governance, quality oversight, risk management, and responsible adoption across Pfizer Global Supply and QSEO. Establishes GxP-compliant AI lifecycle practices, inspection-readiness frameworks, governance forums, portfolio monitoring, inventory management, metrics, and reporting. Advises senior leaders on AI regulations, deployment risks, investment priorities, and compliance while leading cross-functional initiatives and influencing stakeholders across Quality, Digital, Operations, and R&D.

Leads Snap’s Content Machine Learning Engineering organization, setting multi-year strategy for recommendation, ranking, content understanding, reliability, and experimentation. Oversees distributed teams, develops organizational roadmaps, partners with executives and cross-functional leaders, influences scalable architecture decisions, and builds high-performing engineering teams. The role requires strong expertise in machine learning, deep learning, AI, ranking systems, and large-scale engineering leadership.

Leads the development and deployment of data solutions using Palantir Foundry and AIP. Manages engineering teams, coaches team members, oversees project planning and execution, analyzes system interactions, manages client relationships, and drives innovation. The role applies software engineering, data engineering, analytics, and AI/ML techniques to deliver scalable client solutions while maintaining technical and professional standards.

Leads the development and deployment of software and data solutions using Palantir Foundry and AI/ML technologies. Responsibilities include data engineering, analytics, system improvement, client account management, project ownership, team leadership, coaching, stakeholder engagement, and continuous improvement. The role requires building scalable applications with large datasets and delivering customer-focused solutions.

An 11-week analyst internship involving qualitative and quantitative data analysis, performance trend research, opportunity identification, and recommendations supporting business decisions in the insurance industry. Interns collaborate individually and in teams, use analytical and technical tools, participate in training, and develop business acumen while exploring potential full-time opportunities.

Develop and analyze alternative navigation algorithms and systems for aerospace applications. The role involves integrating sensor-fusion solutions, conducting research and testing, validating navigation performance, and collaborating with multidisciplinary teams. Responsibilities include developing resilient navigation for GPS-denied environments, modeling errors, detecting and mitigating faults, and transitioning research innovations into deployable aerospace products. The position is hybrid in Redmond, Washington, or Plymouth, Minnesota, with no relocation offered.

Leads research, analysis, design, development, simulation, and validation of advanced aerospace navigation algorithms and systems. Provides technical direction, mentors engineering teams, shapes technology roadmaps, and integrates sensor-fusion solutions into aerospace platforms. The role emphasizes resilient navigation in GPS-denied environments, regulatory compliance, hardware-in-the-loop testing, high-performance embedded computing, and transitioning research innovations into operational products.

Deploys, configures, optimizes, and supports CrowdStrike Falcon’s AI-powered detection and response capabilities. The role tunes machine learning models, develops security automation playbooks, troubleshoots customer environments, integrates Falcon with existing tools, supports threat hunting and forensic analysis, and develops AI training and customer-facing materials. Requires extensive IT deployment, endpoint, security automation, operating system, AI/ML, scripting, and customer consulting experience, with travel up to 25%.

Owns the enterprise AI portfolio, product lifecycle, integrated roadmap, operating cadence, and cross-team delivery dependencies. Leads planning, portfolio reviews, executive forums, backlog management, prioritization, Agile ceremonies, risk resolution, and high-visibility initiatives. Partners with engineering, architecture, security, identity, and leadership teams to deliver AI products aligned with business goals, technical performance targets, employee satisfaction, and committed timelines.

Supports two VP-level executives by managing complex calendars, global travel, leadership meetings, events, recruiting coordination, onboarding logistics, expenses, and follow-up on action items. The role requires anticipating priorities, handling confidential information, coordinating across time zones, using AI tools responsibly, and supporting special projects within GitLab’s CRO organization.

Designs, builds, and operates scalable machine learning platform capabilities across feature engineering, model training, inference, monitoring, and lifecycle management. The role delivers reliable software and infrastructure, improves platform performance and observability, influences architecture and technical standards, and partners with engineering stakeholders to safely integrate AI/ML solutions at scale.

Design, develop, deploy, monitor, and maintain AI-enabled enterprise and cloud security solutions. Build machine learning workflows, data pipelines, and scalable security capabilities using Python, Java, TensorFlow, and related libraries. Analyze security risks and data quality, translate technical findings into client recommendations, support security controls across cloud and infrastructure environments, review deliverables, and mentor junior team members.

Leads multidisciplinary teams delivering AI-enabled, cloud-native applications on AWS. Oversees architecture, development, testing, deployment, modernization, platform engineering, security, reliability, and client advisory activities. Translates business objectives into technical roadmaps, guides complex engineering work, coordinates cross-functional architecture reviews, communicates delivery risks and options, and coaches teams across multiple workstreams.

Partners with sales teams to support mid-market customers throughout the pre-sales cycle. Conducts discovery, identifies business problems, maps needs to Atlassian products, leads customized value-based demonstrations, guides technical decisions, expands cross-product opportunities, and builds executive relationships. Tracks customer feedback and competitive intelligence, collaborates with product management, and continuously develops product, solution, platform, and sales expertise.