Top Artificial Intelligence Jobs

Manage and grow a sales pipeline, conduct consultative discovery, deliver product demonstrations, and close new mid-market and enterprise business. Build executive relationships, run structured sales processes, perform targeted outbound prospecting, and collaborate with product, marketing, and engineering. Become a product expert and communicate Unify’s technical value proposition and ROI to decision-makers.

Lead growth and marketing for Nango, building awareness and qualified demand among developers and technical leaders. Responsibilities include expanding content, social, partnerships, and paid channels; hosting events; refining messaging; securing speaking opportunities; testing growth experiments; tracking awareness and pipeline impact; and creating repeatable playbooks before building a team.

Leads the design and hands-on development of production AI solutions, including multi-agent systems, self-improving evaluation loops, open-model integration, multimodal and voice pipelines, and full-stack applications. Engages strategic customers through discovery, workshops, prototypes, and production deployments. Sets technical direction, mentors solutions engineers, develops SambaStack tooling, publishes reference architectures, and communicates product feedback to engineering and product teams.

Full-cycle enterprise seller responsible for closing $250K–$1M+ deals in regulated markets. Run consultative discovery, solution scoping, executive negotiations, ROI-driven business cases, CRM discipline (HubSpot), playbook development, and represent the company at industry events.

Build and optimize HubSpot environments across multiple clients, including CRM architecture, data governance, workflows, automations, integrations, APIs, webhooks, migrations, reporting data, and troubleshooting. Audit data quality, resolve integrity issues, establish scalable standards, document systems, and improve CRM reliability and performance within an agency or client-services environment.

Direct system-level Signal Integrity and Power Integrity architecture, analysis, simulation, and optimization for a next-generation MPU. The role covers high-speed serial and memory interfaces, including DDR5 and LPDDR, correlates simulations with lab measurements, resolves silicon-to-system integrity issues, and collaborates across silicon, package, PCB, architecture, and manufacturing teams. It also evaluates future package and PCB technologies and provides technical leadership and mentorship.

Build and operate Python and FastAPI platform services powering healthcare workflows, while developing end-to-end frontend features with JavaScript, TypeScript, and React. Responsibilities include API design, data modeling, system integrations, reliability, observability, performance improvements, code reviews, mentoring, and project ownership from design through launch. The role partners with product, design, and engineering teams to deliver secure, maintainable, accessible solutions.

Engineering Manager, Applied AI leads and coaches engineers while remaining hands-on on client engagements. Responsibilities include reviewing architecture, agent, prompt, and evaluation designs; resolving technical and client challenges; managing staffing and delivery; hiring and onboarding engineers; and improving engineering practices. The role requires strong software engineering experience, Python expertise, client-facing delivery experience, and familiarity with agents, evaluations, multi-agent systems, and AI coding tools.

Design and operate Trajectory’s recruiting system, including talent identification, engagement, outreach, interview pipelines, candidate closing, recruiting events, funnel metrics, and AI-powered automation. The role partners closely with founders to attract exceptional technical candidates and creates scalable processes for sourcing, assessing, and hiring talent.

Own revenue enablement across onboarding, ramp, certifications, coaching, GTM communications, systems, and AI infrastructure. Run multi-week enablement programs for sales, post-sales, and SDR teams; track productivity and ramp metrics; lead methodology and tooling change management; and build AI-assisted internal tools and automations. Partner closely with Post-Sales, Product, managers, and global GTM teams in a fast-growing B2B technology company.