Top Artificial Intelligence Jobs

Lead diverse design work across brand, presentations, web, social, and video. Create visual identities for incubations, support portfolio companies, maintain the firm website, edit videos, collaborate with agencies, and improve design systems and workflows.

Identify and outbound-prospect target enterprise accounts, engage senior stakeholders, qualify opportunities via structured discovery (e.g., MEDDPICC), build multichannel outreach sequences, and create accurate handoffs to Account Executives to convert prospects into sales pipeline.

Drive sales growth and manage key client relationships by developing strategic business plans, leading contract negotiations, collaborating with internal teams, presenting quarterly business reviews, identifying new revenue opportunities, and ensuring client success while meeting sales targets.

Support go-to-market strategy and execution across inbound and outbound channels: define ICPs, join user calls, create Excel demo videos, run outreach using Clay/HeyReach/Instantly, post and measure performance on social platforms, and optimize funnel metrics (visits, conversion, retention, referral).

Design and build full‑stack applications that automate business processes using artificial intelligence. Integrate AI models into backend and frontend systems, implement APIs, deploy services, and collaborate with stakeholders to translate business needs into automated features.

Early founding full‑stack engineer working with CTO and founders to build an AI-native litigation OS. Implement React/Next.js frontend, TypeScript backend, and Postgres data layers; design claim→element→fact→evidence schemas, entity-extraction pipelines, agent workflows to surface gaps, and evaluation loops that learn from attorney corrections. Collaborate directly with litigators; hybrid NYC role.

Lead development of production-ready AI filmmaking workflows: evaluate generative models, prototype and harden techniques, build shared playbooks, collaborate with filmmakers, engineering, and model partners to deliver reliable, cost-effective studio capabilities.

Join a Cognitive Intelligence team to design, implement, and validate unsupervised deep learning, reinforcement learning, and Bayesian models for real-time transactional intelligence. Present findings to technical and management teams, collaborate with Product and Engineering, influence product roadmap, and deliver scalable, secure, fault-tolerant ML services targeting anti-money-laundering and financial crime detection.

Top-of-funnel SDR focused solely on outbound prospecting (email, LinkedIn, cold calling), running discovery calls and tailored product demos, qualifying leads, and delivering clean handoffs to CSMs. No post-sale or account management responsibilities.

Manage customer implementations and ongoing support, train users, troubleshoot issues, gather and synthesize customer feedback, and liaise with product and engineering to improve the product and roadmap while ensuring strong customer relationships.