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Support the CEO exclusively by managing her calendar, travel, inbox, Slack, communications, and preparation for high-stakes meetings. The role requires independent prioritization, polished interaction with investors and executives, document drafting and proofreading, and reliable availability during demanding travel schedules, including occasional evenings and weekends. The assistant will also identify opportunities to automate repetitive tasks and may grow into a strategic executive business partner.

In the Content & Storytelling role, you will create videos and written content to showcase Netic's customers and their success stories using AI.

As a Founding Product Infrastructure Engineer, you will enhance system infrastructure for AI agents, focusing on reliability, scalability, and best practices. Responsibilities include managing CI/CD, databases, performance, and operational standards while planning for future growth.

Own end-to-end product design: research, prototype (using AI tools), iterate, ship, and refine. Build interaction patterns between humans and AI, create and maintain a scalable design system, collaborate with engineers and PMs, and set design team foundations.

As the Founding RevOps Lead, you will optimize revenue operations, manage Salesforce, ensure data integrity, lead forecasting, and streamline sales processes.

As a Founding Platform Engineer, you will design the semantic layer powering our system, build internal platforms, and collaborate with product teams to optimize data workflows and architecture.

The Founding Outbound SDR at Netic is responsible for generating pipeline, booking meetings with key accounts, and collaborating with teams to execute outbound campaigns.

The GTM Engineer will enhance data mapping, monitor intent signals, build foundational tools for sales and marketing, and improve customer success using GTM Engineering principles.

Founding Product Marketer to define positioning and messaging for Netic across verticals and buyer personas. Own launches, marketing campaigns, sales enablement assets, and feedback loops with product and sales. Use AI tools to accelerate research and asset production, run tests with growth, and iterate to drive measurable business outcomes.

Build and ship full‑stack product features for an AI platform: design, code, and deploy user-facing functionality; work with customers to gather feedback; own data models, APIs, front-end polish, testing, monitoring, and post-launch iteration to ensure reliability and value.