You will own the end-to-end marketing strategy, budget allocation, and execution across all acquisition channels. This includes managing paid media, affiliate partnerships, funnel optimization, and marketing analytics to drive growth.
You will own marketing and product analytics, including tracking, reporting, and performance analysis across all acquisition channels. This involves managing GTM setups, investigating data discrepancies, and providing actionable insights to drive business and marketing decisions.
You will be responsible for building the affiliate channel from the ground up by recruiting partners, negotiating commercial terms, and launching performance-based campaigns. Additionally, you will manage partner relationships, monitor unit economics, and optimize traffic quality to ensure sustainable growth.
You will own the entire sales process, including lead distribution, script development, and team performance management. You are responsible for coaching sales representatives, monitoring key metrics, and ensuring all sales activities comply with healthcare regulations.
You will manage the technical infrastructure of the sales team, including dialer configurations, lead routing, and deliverability monitoring. You are responsible for ensuring data accuracy, building reporting dashboards, and maintaining compliance across all communication channels.
Manage the full client lifecycle, including complex international licensing projects and the design of sophisticated ownership and investment structures. Provide expert legal counsel, draft legal opinions, and resolve regulatory challenges while mentoring junior staff.
You will lead and scale the support, retention, and winback teams to optimize customer lifetime value and brand reputation. You are responsible for setting strategic targets, managing supervisors, and ensuring all operations comply with healthcare privacy regulations.
Develop and maintain ParaView plugins and custom readers in C++ to integrate large scientific datasets into the VTK pipeline. Optimize performance for memory-intensive visualization workflows including progressive loading, caching, and prefetching.
You will own the product roadmap and define workflows for scientific data ingestion, visualization, and AI model training. You will collaborate closely with engineering teams to translate complex technical requirements into clear product decisions and platform capabilities.
Develop and validate new web acquisition models from scratch by building and launching Web2Web/Web2App funnels. Analyze unit economics, conversion rates, and customer journeys to scale growth strategies and team operations.
You will benchmark compression technology across various Physics AI architectures and datasets to optimize training efficiency and model performance. Additionally, you will design reproducible benchmark methodologies and integrate compressed datasets into distributed training workflows.
You will build and scale the core AI infrastructure, focusing on LLM-powered workflows and multi-agent systems. The role involves designing technical architecture, ensuring system reliability, and managing production pipelines.
You will own the end-to-end B2B pipeline, including lead generation, CRM management, and LinkedIn strategy. Additionally, you will act as the operational bridge between Product, Development, and Sales to ensure effective market positioning.
The CRM will develop and improve CRM strategies across the player lifecycle, identifying growth opportunities based on player behavior and data. They will also build and optimize automated customer journeys and manage CRM campaigns across various channels.
Provide comprehensive legal support for a mobile AI product, focusing on IP protection, data privacy, and platform compliance. Manage employment contracts, commercial agreements, and investment rounds including SAFE and term sheets.
Manage and scale paid acquisition campaigns primarily on Meta, while also expanding to Google Ads and other channels. Collaborate with creative and CRO teams to optimize conversion and contribute to campaign strategies.
Design and implement a multi-agent AI architecture for an automated video production system. Orchestrate complex workflows using n8n to integrate multimodal tools for scripting, editing, and synthesis.
Lead the development of scalable ML solutions and define standardized data science processes to drive business value. Collaborate with stakeholders to translate complex business problems into actionable data-driven recommendations and production-ready models.
Develop and maintain high-RPS collection endpoints and a B2B web analytics platform. Collaborate with stakeholders to translate business requirements into technical solutions for a browser-based SDK and backend infrastructure.
The role involves creating, managing, and scaling advertising campaigns on Meta while optimizing performance metrics like ROAS and CPA. You will also collaborate with product and creative teams to test hypotheses and research competitor strategies.
