Act as the embedded technical lead to design, build, and demo production-grade agentic AI solutions for game development. Lead knowledge transfer sessions and provide technical architecture oversight across multiple game studios.
Neurons Lab
11 Remote Job Openings at Neurons Lab
The COO will own the operational, financial, and executional backbone of the company to enable the CEO to focus on vision and growth. Responsibilities include managing the executive team, overseeing financial performance, and scaling the company's operating system.
You will facilitate executive distillation sessions to translate strategic goals and operational processes into actionable AI context packs. Additionally, you will interpret process-mining data to design optimization reports and build prototypes for AI agent skills.
You will build unstructured data pipelines to ingest, parse, and resolve entities from various sources like email, Slack, and documents. Additionally, you will implement vector and graph storage, PII redaction, and incremental sync processes to support AI agents.
You will design and architect a private, access-scoped AI context layer and agentic system for a European investment group. This involves hands-on development, managing technical decisions, and communicating complex architectural concepts to C-level stakeholders.
Lead the creation and commercialization of packaged BFSI solutions focusing on GenAI, ML, and Cloud technologies. Drive pre-sales motions, establish strategic alliances with hyperscalers, and develop thought leadership to accelerate deal conversion.
The role focuses on generating a predictable revenue pipeline and achieving quarterly sales targets within the Financial Services industry. Responsibilities include owning the full sales cycle, executing multi-channel C-suite outreach, and coordinating AI solution scoping with engineering teams.
Drive AI adoption across multiple engineering organizations by translating CTO visions into team-level disciplines and reusable practices. Manage the diffusion loop to detect, package, and transfer successful AI workflows between companies while maintaining operational rhythms and reporting.
Lead the design and optimization of an AI-driven offensive security pipeline, focusing on automated exploitation and runtime anomaly detection. Act as the primary security domain expert to challenge existing methodologies and present technical roadmaps to C-level executives.
Identify and validate high-value AI opportunities by developing business cases and redesigning business processes for financial environments. Lead the implementation of AI solutions from prototyping to production while ensuring regulatory compliance and measurable ROI.
The main objective is to develop, adjust, and deliver engaging AI enablement training sessions for diverse business audiences across various industries. This involves clearly communicating complex AI concepts and facilitating practical exercises applying AI tools to real-world business scenarios.
