• This is a senior marketing role inside a shared services function that supports a growing portfolio of B2B SaaS companies. • You will work across multiple businesses — each with its own product, market, buyer persona, and growth challenge. • You will need to get up to speed fast, form a sharp point of view quickly, and drive execution without waiting for someone to hand you a playbook. • There is no single playbook — you will help build them. • You are not here to manage a content calendar for one brand. • You are here to make multiple businesses more competitive, more visible, and better at generating pipeline — simultaneously.

• Lead design and development of backend services and integrations across platform components • Drive integration efforts between platform components and blockchain layers • Collaborate closely with cross-functional teams to define and deliver solutions • Guide the team on implementation, quality, and engineering best practices • Ensure alignment across services in a highly integrated environment • Contribute to system design, technical documentation, and diagrams • Ensure code quality and reliability through testing and continuous improvements • Troubleshoot and resolve issues across distributed systems and integrations

• As a Staff Engineer, you will lead the development and refinement of major subsystems. • Responsibilities include creating and refining product features, ensuring seamless day-to-day operations, identifying patterns for streamlined development, and presenting technical and product insights to stakeholders. • At the staff full-stack level, you’ll set a technical vision, delivering flexible, efficient, and scalable solutions aligning with business needs. • Shape our technical systems’ future state by aligning high-level product goals with a deep understanding of existing systems, guiding strategic technical and product decisions for both short and long terms. • Lead engineers across teams in crafting technical solutions, engaging in the development of product and UX requirements, and fostering a culture of technical excellence. • Collaborate with various teams - product, engineering, data science, data engineering, and UX - to contribute to the development of efficient solutions and uphold technical quality.

• Building AI Autonomous Agentic production-ready framework • Optimizing the latency of complex database queries in SQL DB or Elastic • Adding Redis queues and a worker container to execute async tasks • Coming up with a new architecture for ingestion pipeline to increase throughput and cut cost • Building SDKs or APIs with high focus on DX