Top Tech Jobs & Startup Jobs

Build and improve ML systems powering core AI capabilities: create and maintain evaluation datasets, design experiments, train and fine-tune models (including RL approaches), analyze results to drive product decisions, participate in research, and partner with product and backend teams to integrate models into production.

Generalist product designer responsible for end-to-end design across product UI, website, and marketing. Design in Figma, ship production React/Typescript UI, extend the design system, create visual media, and collaborate closely with founders and engineers to ensure polished customer-facing experiences.

Own brand visual marketing and end-to-end motion/video production: pitch, design, shoot, edit, animate, and publish launch videos and social content. Build a scalable motion pipeline using code-driven tools and AI, maintain visual identity, proactively find product stories, and produce high-quality, frequent motion assets that match product launches and reinforce the brand.

Lead design and implementation of security architecture and controls across Macroscope’s distributed systems. Protect customer data, harden production, embed secure-by-default practices, and partner with engineering to improve IAM, cloud security, secrets management, CI/CD, vulnerability management, and monitoring.

The Technical Customer Success Engineer manages customer relationships post-sale, implements Macroscope, supports users, and gathers insights to enhance the product's future. They ensure a smooth onboarding experience for engineering teams and serve as the main point of contact for technical issues.

The Account Executive will handle full-cycle enterprise sales, engage with senior leaders, guide customer onboarding, and refine sales strategies based on market feedback.

Develop customer-facing web experiences, improve application infrastructure, collaborate with engineers and designers, and deliver scalable web applications.

As a Senior Applied ML Engineer at Macroscope, you will design, build, and optimize ML/AI systems, leading the AI Code Review process and ensuring integration with backend systems.

Build and maintain go-to-market infrastructure: CRM architecture, lead routing, enrichment, onboarding workflows, reporting, internal tooling, and AI-powered automations. Identify bottlenecks, eliminate manual work, integrate systems via APIs, and collaborate with founders, engineering, sales, and customer success to scale GTM processes and automate repetitive tasks.

Build and scale top-of-funnel demand across PLG and enterprise motions. Own paid acquisition (starting with Google Ads), growth experiments, content, events, partnerships, lifecycle campaigns, and product launches to generate qualified pipeline and revenue.