Top Artificial Intelligence Jobs

Quota-carrying partner leader owning AWS revenue relationships: build AWS field relationships, drive co-sell motions, create joint AI solutions, run demand-generation programs, enable sales teams, and manage partner operations and joint account planning.

Build and maintain Weekend's bundled Hub experience across TV, mobile, and web. Implement user-facing features primarily in TypeScript and React, own backend integrations where needed, collaborate with Product and Design, use analytics to measure impact, run growth experiments, perform code reviews, and ensure performance and high code quality.

Build and own game features end-to-end for live TV voice-AI titles using TypeScript, React, and AWS GameLift Streams. Ship production-quality, cross-platform experiences, improve CI/CD and telemetry, iterate using player data, and mentor teammates while collaborating with product and design.

Own technical pre-sales for enterprise deals: lead discovery, build live demos with customer data, respond to RFPs/security questionnaires, coach AEs, prioritize pipeline, and hand off scoped implementations while shaping product roadmap.

Own and close complex enterprise deals end-to-end: perform discovery, deliver deep technical product demos, build self-generated pipeline and repeatable playbooks, iterate sales methodology, partner with Product/Solutions/Engineering, and influence pricing, packaging, and roadmap.

Own and close enterprise new business with institutional commercial real estate firms across North America. Manage full sales cycle for complex AI platform, exceed revenue targets, build self-generated pipeline, create replicable playbooks, partner with Product/Solutions/Engineering to demonstrate ROI, and help shape US GTM, pricing, and long-term strategy.

Own and productize on‑prem agent deployments: helm charts, upgrades, rollback, and onboarding. Manage fleet versioning, debug k8s/temporal/storage/auth issues, triage CVEs, produce RCAs, and co‑own per‑customer patching and security communications.

Embed with enterprise customers to spec, implement, and ship production integrations that turn large enterprise APIs into agent-usable tool surfaces. Build eval harnesses, QA tooling, per-customer SDKs/patches, run customer syncs, and operate tooling as self-service while contributing code to the monorepo and improving agent-tool interfaces.

Lead and grow the Customer Success organization while directly managing strategic enterprise accounts. Own retention, renewals, expansion, and NRR through executive engagement, scalable renewal/upsell motions, forecasting, cross-functional collaboration, operational improvements, and talent development. Act as escalation point for key accounts and drive KPI accountability for retention, churn, product adoption, and expansion.

As an AI Data Engineer, you will build and maintain data pipelines and AI models to enhance GTM strategies, improving decision-making and operational efficiency.

Provide Tier 1/2 technical support, run onboarding (configure integrations and workflows), partner with account managers on implementations and demos, monitor usage and resolve adoption blockers, surface product feedback, build documentation and automate repetitive workflows to shorten time-to-value.

Serve as HR Business Partner for Go-To-Market teams: advise leaders, manage employee relations and performance, ensure compliance (including immigration), design scalable people programs, and partner with specialist People teams (Compensation, Benefits, Legal, Finance) to support talent lifecycle and operational foundations across offices.

Lead immigration strategy for M&A and acqui-hires: conduct immigration due diligence, advise Corporate Development/Legal/People, design integration plans, ensure compliance and documentation, partner with external counsel, and build scalable M&A immigration playbooks.

Design and build deployment infrastructure to move validated inference builds into production across GPU/TPU/Trainium fleets. Improve capacity-aware scheduling, deployment observability, rollout strategies, pipeline parallelism, and self-service model onboarding while partnering with validation, autoscaling, and routing teams.

Full-stack .NET developer responsible for requirements analysis, design, development, testing, code reviews, deployment and production support for ASP.NET MVC/.NET Core web applications using C#, Entity Framework, JavaScript/jQuery and Kendo UI, working closely with stakeholders and the development team.

Support VDOT project planning and Agile team operations by maintaining schedules, Azure DevOps boards, and documentation. Assist Agile ceremonies, coordinate meetings, track action items, monitor risks/issues, perform basic data analysis, and ensure compliance with VDOT and Commonwealth governance standards.

Lead enterprise liquidity management and corporate cash forecasting. Improve and integrate forecasting models and data sources, aggregate internal and vendor cash data, perform back-testing, and partner with Finance, Treasury, FP&A, Controllers, and business lines to optimize cash and reporting.