Top AI Jobs in Seattle, WA

Product Counsel will advise product, engineering, data science, marketing, compliance, and sales teams throughout the product lifecycle. Responsibilities include counseling on regulatory compliance, privacy, intellectual property, consumer protection, AI and machine learning, data rights, platform architecture, APIs, identity and account security, and marketing. The role translates legal requirements into technical guidance, supports AI governance, monitors evolving laws, and develops scalable legal processes for a fast-paced technology company.

Drives enterprise sales growth for GitLab across the Northeast by managing strategic accounts, developing account plans, generating pipeline, and leading complex B2B software sales cycles. Builds C-level relationships, coordinates solutions architects and partners, guides customers through evaluation to implementation, expands platform adoption, forecasts opportunities, analyzes wins and losses, and presents business value. The role is fully remote and focused on AI-powered DevSecOps solutions.

The Sales Development Representative conducts outbound prospecting to internal IT departments and channel partners through phone, email, and LinkedIn. Responsibilities include building pipelines, qualifying prospects, setting product demos, supporting Account Executives, meeting sales quotas, maintaining accurate Salesforce records, and learning cybersecurity solutions. The role also involves exploring AI tools for prospect research, prioritization, outreach preparation, and follow-up in a remote environment.

Lead Shield AI’s digital factory and AI-enabled manufacturing roadmap. Deploy and improve MES, integrate ERP, PLM, QMS, automation, equipment, and connected factory infrastructure, and establish the digital thread across engineering, production, quality, maintenance, and supply chain. Identify and implement AI, predictive maintenance, machine vision, digital twin, analytics, and automation solutions while leading complex cross-functional factory transformation initiatives.

Analyzes the exposure management competitive landscape, synthesizes technical and market intelligence, conducts win/loss analysis, supports competitive deals, develops field enablement materials, and recommends product and go-to-market strategies. Partners with Product, Sales, Marketing, Strategy, Investor Relations, and senior leadership to translate complex cybersecurity concepts into actionable guidance and executive insights.

Own CX operations roadmap initiatives from concept through delivery, identifying opportunities for automation and AI. Build and optimize Salesforce and Intercom workflows, integrations, reports, dashboards, surveys, and routing logic. Partner with Engineering, Business Systems, BI, Sales, Finance, Marketing, and Enablement to deliver cross-functional solutions, drive adoption, and manage change. Analyze CX metrics including NPS, CSAT, retention, support, and success data to provide leadership recommendations while tracking risks, dependencies, and initiative progress.

Negotiate and advise on datacenter leasing, colocation, design/build, operations and maintenance, and infrastructure procurement agreements. Partner with procurement, engineering, operations, finance, tax, and compliance teams on risk, supplier performance, international expansion, and infrastructure transactions. Develop scalable legal templates, playbooks, fallback positions, and approval matrices while supporting high-priority vendor and operations agreements.

Leads a technical presales team supporting security, business applications, and employee/customer experience opportunities. Responsibilities include coaching and mentoring, managing performance and coverage, partnering with Sales and Services on solution strategies, reviewing proposals and demonstrations, monitoring pipeline KPIs, improving presales processes, supporting go-to-market initiatives, and advancing team capabilities in security, cloud, data, AI, and software engineering.

Leads technical customer engagements for strategic enterprise accounts, combining solution engineering, software implementation, consulting, and sales support. Responsibilities include discovering requirements, designing and documenting SailPoint solutions, conducting foundational implementations and proof-of-value engagements, educating customers on architecture and best practices, and developing AI-enabled demonstrations and agentic solutions. The role collaborates across sales, product, professional services, partners, and customer success, and may require up to 15% travel.

Lead Deepgram’s corporate legal function, including governance, IPO readiness, financings, M&A, employee equity, international subsidiaries, and regulatory developments. Partner with Finance, People, and company leadership to build scalable legal processes for a fast-growing AI company. Establish an AI-native legal practice while advising on a broad range of startup legal matters.

Design and deliver end-to-end AI/ML solutions for Oncology R&D, working with multimodal datasets. Partner with scientists and product leaders to prototype, iterate, and deploy decision-relevant models, document methods for transparency, and ensure solutions are scientifically grounded and usable.

Build and operate scalable AI infrastructure, backend services, and data pipelines supporting the full machine learning lifecycle. Responsibilities include data ingestion, anonymization, transformation, quality validation, lineage, model platform workflows, automation, and reliable production operations on AWS. The role owns features end-to-end, participates in architecture and on-call rotations, mentors engineers, and collaborates with scientists, ML engineers, product managers, and security teams.

Lead design and build of a global AI/ML deployment platform: architect control plane, multi-region deployments, APIs, autoscaling, and integrations. Own technical direction, engage clients, drive governance of AI-assisted development, and ensure resilient, secure production-grade infrastructure.

Leads strategic workforce management for Customer Experience operations, including AI-informed capacity planning, forecasting, scenario modeling, staffing plans, cost modeling, and automation productivity analysis. Partners with Finance, Product, Legal, Compliance, and senior leadership to align workforce priorities, regulatory readiness, and resourcing decisions. Drives strategic initiatives from business case development through execution and serves as a workforce planning center of excellence.

Leads enterprise sales and strategic customer relationships across utilities, power distribution, infrastructure, and data centers. Develops new business, manages pipelines, leads proposals and onboarding, and partners with operations, product, marketing, and leadership teams. Advises customers on workforce, contractor, outage, maintenance, and project needs while shaping go-to-market strategies and scalable sector processes. Mentors account team members and provides market insights to improve offerings and growth.

Own the vision, roadmap, go-to-market strategy, datasets, scoring, findings, automation, integrations, pricing, and reporting for CrowdStrike’s automated AI red-teaming product. Partner with engineering, data science, security research, sales, marketing, and customers to improve AI threat detection and define a new product category. Translate offensive security research and emerging AI threats into product requirements, technical strategy, and prioritized execution.

Lead executive and internal communications for the COO, serving as a strategic advisor and shaping leadership narratives, messaging, and organizational alignment. Draft executive remarks, business updates, Q&As, video scripts, and employee communications; support speaking engagements and change communications; partner with Marketing and External Communications; establish communication planning processes; and measure employee engagement effectiveness across a distributed operations workforce.

Own global compensation cycle administration, system configuration, benchmarking, job architecture, salary structures, pay reporting, equity support, and compensation analysis across the Americas, EMEA, and APAC. Partner with HR, recruiting, payroll, legal, finance, and managers on offers, promotions, pay equity, and transparency requirements. Improve compensation operations through AI and automation, maintain data integrity, and deliver training and communications on compensation programs.

Lead the technical vision and development of scalable ML and AI evaluation systems for Atlassian’s Rovo Chat. Build agentic capabilities, datasets, simulations, automated judges, experimentation platforms, and quality signals. Identify failure modes, ship interventions, and improve customer outcomes while balancing quality, latency, reliability, safety, and cost. Provide cross-organizational technical leadership, mentorship, design guidance, and strategic direction for AI products.

Designs, develops, experiments with, and productionizes machine learning, deep learning, and generative AI solutions. Builds LLM and agentic workflows, conducts model tuning and evaluation, optimizes system performance, and develops end-to-end Python solutions. Partners with product and engineering teams to integrate generative AI into scalable ML platforms and production services, with a focus on NLP, RAG, embeddings, inferencing, and MLOps.

Leads the design, experimentation, productionization, and optimization of machine learning, deep learning, generative AI, LLM, and agentic systems. Develops Python-based proofs of concept and production solutions, evaluates and tunes models, integrates generative AI into ML platforms, improves system performance, and partners with product and engineering teams. Acts as an ML subject matter expert while mentoring practitioners and influencing product and technical decisions.

Leads development of an enterprise Agent SDK and agentic AI platform. Designs production-grade agent capabilities, evaluation systems, model-serving workflows, retrieval-augmented generation, and tool-using agents. Writes code, optimizes performance, establishes engineering standards, and partners across product, data, platform, and application teams. Requires extensive experience building large-scale machine learning systems, cloud and Kubernetes workloads, and reliable generative AI solutions.

Lead customer success for strategic electric utility accounts, managing 4–5 technical team members and overseeing enterprise software deployments from pilot through long-term adoption. Advise utility executives, establish ROI frameworks, guide digital twin workflow integration, manage technical workstreams, and ensure measurable customer outcomes. Partner with Sales, Product, and Engineering on roadmap feedback, implementation risks, and expansion opportunities while maintaining executive governance and communication.

Designs, operates, and scales Kubernetes-based data and AI infrastructure across public cloud environments. Builds platforms for Kafka, Spark, Flink, AI gateways, model serving, traffic management, observability, and self-service deployment. Partners with engineering teams to improve reliability, scalability, performance, cost efficiency, and operational simplicity of distributed systems.

Leads strategic business development and enterprise software sales for electric utility and AEC customers. Develops account strategies, identifies and closes opportunities, builds executive relationships, manages complex negotiations, forms strategic partnerships, and collaborates with marketing, product, and customer success teams. The role focuses on substation design, utility planning, AI-enabled engineering workflows, digital twins, and infrastructure modernization, with 30–50% travel across North America.