Top Artificial Intelligence Jobs

Generate top-of-funnel pipeline through targeted outbound campaigns, re-engage stalled prospects, coordinate qualified opportunities with Account Executives, and own the prospect experience through handoff. Collaborate with Marketing, RevOps, and sales leadership to improve targeting, outreach processes, and lead funnel efficiency using Attio.

Own global marketing strategy and organization, including positioning, brand leadership, product marketing, content, demand generation, and go-to-market execution. Partner with Sales, Product, and Customer teams to drive pipeline and revenue growth, particularly in North America. Build an 18-month roadmap, lead rebranding and repositioning initiatives, strengthen analyst and client relationships, and transform demand generation into a demand creation engine while leading a team of 20 or more.

Own strategic relationships with NetSuite implementation, consulting, accounting advisory, private equity, and direct NetSuite partners. Responsibilities include partner recruitment, onboarding, tier progression, co-selling, pipeline generation, QBRs, attribution tracking, agreement and margin negotiations, outsourced delivery enablement, and gathering market feedback. The role requires building partner-sourced revenue, improving channel performance, and developing durable executive relationships across the NetSuite ecosystem.

Lead technical client onboarding, migrations, solution design, integrations, data orchestration, troubleshooting, and project delivery for Movable Ink’s AI-powered personalization platform. Partner with clients and internal teams to implement custom workflows, APIs, webhooks, and data solutions. Conduct training and workshops, provide product expertise, advise on roadmap improvements, and support long-term client success across email and mobile marketing programs.

Build and operate foundational developer infrastructure across CI, build systems, deployment orchestration, and test platforms. Improve build speed, deployment safety, test reliability, observability, and engineering productivity at scale. Own services from architecture through production, including SLOs and on-call operations. Lead cross-functional technical projects, partner with engineering teams, mentor engineers, and shape platform strategy.

Own the full-cycle sales process, closing inbound deals and generating outbound pipeline across SMB, mid-market, and enterprise segments. Develop the company’s initial sales motion, including ICP definition, messaging, pricing conversations, CRM processes, and repeatable playbooks. The role requires cold outreach, flexible sales execution across deal sizes, and daily in-person collaboration with the founding team in New York City.

Build next-generation voice AI systems for consumer and business applications. Develop persistent memory, complex reasoning, speech pipelines, and production-grade agentic workflows. As an early technical contributor, the ML Engineer will help shape core architecture, take ambiguous concepts through production, and influence user interactions with advanced language models in a fast-paced pre-seed startup.

Own senior client relationships and delivery success across multiple concurrent engagements. Lead engagement teams, manage scope, economics, profitability, and risk, and communicate with C-suite stakeholders. Develop team members, support recruiting, identify account growth opportunities, and contribute to business strategy. Collaborate with data, software, AI, and engineering specialists, using technical fluency to guide integrated solutions and deliver measurable client outcomes.

Own enterprise and strategic SaaS accounts by identifying new opportunities, managing complex sales cycles, conducting POCs, negotiating bespoke agreements, closing high-value deals, and driving adoption and expansion. The role includes territory planning, prospecting, stakeholder engagement, forecasting, tailored demos and business cases, pipeline optimization, and coaching team members while contributing to go-to-market improvements.

Drive new business and expansions in the Media & Entertainment vertical. Manage enterprise accounts, qualify opportunities, run demos, negotiate contracts, coordinate with Customer Success and cross-functional teams, and meet monthly/quarterly quotas while maintaining accurate CRM records and participating in industry events.