Top Artificial Intelligence Jobs

Own strategic technical success for Fortune 100 enterprise customers, driving adoption, retention, onboarding, and expansion of Snyk’s application security platform. Build trusted relationships with engineering and security leaders, lead business reviews, demonstrate ROI through data-driven storytelling, advocate for customer needs, and coordinate resources to resolve technical challenges and support DevSecOps transformations.

The role involves designing cloud infrastructure, managing production Kubernetes clusters, optimizing CI/CD pipelines, enhancing developer experience, and ensuring reliable AI workloads. Candidates should have extensive experience in infrastructure and distributed systems engineering with strong coding skills and cloud expertise.

Manage assigned client accounts to ensure satisfaction and renewals. Coach clients on SailPoint/IdentityIQ identity and access solutions, monitor usage and risks, provide strategic updates, identify expansion opportunities, and drive resolutions to customer issues.

Lead SailPoint’s unified Adversary Intelligence organization combining cyber threat intelligence and red team operations. Direct intelligence collection, analysis, adversary emulation, purple teaming, AI-driven automation, custom tool development, strategic risk reporting, executive briefings, and collaboration with SOC, incident response, detection engineering, DevOps, and product security teams. Mentor senior offensive security engineers and intelligence analysts while improving defensive telemetry, detection maturity, and enterprise security posture.

Leads legal operations programs that scale the global legal team. Responsibilities include managing major initiatives, designing technical architectures, building workflow automations and integrations, developing internal tools, connecting legal systems with company platforms, enforcing standard procedures, resolving escalated issues, and guiding analysts on configuration and automation work.

Build and operate Vercel’s data platform infrastructure, including streaming systems, storage layers, observability, access controls, and internal tooling. Work with Kafka, ClickHouse, Tinybird, and Snowflake to support reliable, scalable data movement and self-service data consumption. Contribute to platform features, fixes, compliance practices, and architecture decisions while developing greater independence through mentorship and code review.

Own reliable billing, usage, and contract data pipelines; build dbt transformations, data models, semantic datasets, and finance reporting infrastructure. Resolve data quality issues, establish testing and documentation standards, support revenue recognition and forecasting, partner with Finance stakeholders, make architecture decisions, review code, and mentor engineers.

Lead Vercel’s consumption forecasting strategy and end-to-end machine learning systems across infrastructure products. Develop advanced time-series, probabilistic, hierarchical, causal, and predictive models for operational and financial planning. Build scalable tooling for backtesting, monitoring, drift detection, retraining, and explainability. Partner with Finance, Infrastructure, Product, and GTM leadership on revenue planning, capacity optimization, pricing, and adoption scenarios. Set technical standards, influence organizational ML practices, and mentor senior data scientists and ML engineers.

Lead principal engineers and technical leaders in Manufacturing Development Engineering to accelerate DRAM and semiconductor process development. Define MDE operating models, drive performance metrics (safety, cycle time, tool performance), partner across functions to remove barriers, and champion systems and AI adoption to improve decision-making and development velocity.

Lead development and maintenance of advanced CAD tools and methodologies for semiconductor memory. Establish CAD build standards, integrate solutions with cross-functional teams, benchmark against industry, mentor engineers, and coordinate continuous improvement of CAD tools to support DRAM/NAND device development.

Develop and validate next-generation DRAM, advanced DRAM, and emerging memory device technologies. Define electrical specifications, design experiments, model device behavior using TCAD and compact modeling, analyze array-level failures and variability, develop reliability stress methodologies, and optimize yield, quality, performance, and cost. Collaborate with process integration, design, and product engineering teams to translate device insights into manufacturable memory solutions.

Lead multi-year strategic planning and annual operating cycles, evaluate portfolio tradeoffs, build financial models for capital allocation, and translate strategy into cross-functional execution plans with KPIs. Conduct market sizing, competitive analysis, scenario modeling, and track performance through operating cadences to identify bottlenecks and recommend solutions.

Manage end-to-end employee lifecycle operations globally, including onboarding, offboarding, leave administration, HRIS data integrity, audits, reporting, and PX Operations support. Improve processes and SOPs, partner cross-functionally, resolve employee/manager operational issues, and scale People Operations for a growing, fast-paced organization.

Lead enterprise strategy and operations: develop multi-year strategic plans, build financial models for capital allocation, translate priorities into cross-functional execution with KPIs, and track performance to sustain execution velocity.

Lead NPI sourcing strategy for Space, Sensors and Navigation programs: develop supplier partnerships, select and negotiate with suppliers, manage contracts and producibility, ensure early supplier engagement with engineering, and drive transition from development to production while collaborating with buyers, ISC, program managers, and quality.

Partner with the CRO and global revenue leadership to design org structure, drive performance calibration, build management capability, lead complex ER and restructures, and translate global people frameworks into local impact across US, EMEA, and APAC.

As a Lead Legal Engineer, you will lead complex client engagements, manage a team of Legal Engineers, and drive effective implementations while ensuring measurable outcomes and stakeholder satisfaction.

Own strategy, roadmap, and execution for consumption-based pricing and metering. Build in-product pricing experiences and backend billing infrastructure, partner with engineering and finance, run pricing experiments using data and customer insight, and translate pricing into packaging, billing, and forecasting to scale for legal teams.

Serve as the primary customer contact during cybersecurity solution onboarding. Coordinate implementation projects, timelines, milestones, dependencies, and deliverables; perform software installation, configuration, validation, and basic troubleshooting. Advise customers on technical prerequisites and best practices, maintain implementation records, gather feedback, and escalate complex issues. The role combines customer-facing technical implementation, project coordination, and cybersecurity SaaS expertise.