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The Infrastructure Engineer will design, build, and maintain cloud infrastructure, manage Kubernetes environments, improve developer experience tools, and ensure compliance with security standards.

Build and run Middesk's outbound engine: design ABM and personalized outreach, integrate AI-enabled prospect research, partner with SDRs, create targeting and segmentation infrastructure, run performance analytics, and execute creative GTM experiments to scale outbound growth.

Own inbound growth channels (SEO, AEO, paid acquisition, website conversion). Design and run fast experiments across acquisition, conversion, and pipeline. Build analytics and reporting infrastructure. Partner with product marketing for campaign execution and distribution strategy. Spot and test emerging channels and AI-enabled workflows to drive measurable growth.

The Support Associate will provide excellent customer support, handle inquiries, optimize product use, document processes, and collaborate cross-functionally.

The Director of Growth will create and execute pipeline generation strategies, build effective marketing systems, lead a demand generation team, and work closely with Sales and Product to drive revenue growth.

The Sales Development Representative will drive lead generation, engage with clients in the banking and payments sectors, and meet sales targets. They will develop product knowledge and employ strategic outreach techniques to connect with prospects.

Full-cycle generalist recruiter responsible for sourcing, qualifying, and closing candidates across technical and go-to-market roles. Partner with hiring managers to build structured interview processes, ensure a fair candidate experience, and improve recruiting systems and tooling as the company scales. Hybrid role based in San Francisco.

The Revenue Operations Associate will enhance Middesk's RevOps capabilities, design automated processes, and leverage AI for real-time performance insights while managing a tech stack.

The Forward Deployed Engineer leads technical designs and deployments of customer-facing systems, collaborates with clients, and enhances engineering practices within Middesk.

The Data Scientist will build AI-driven fraud and risk systems, work with real-world data, and leverage graph techniques to improve detection and labeling. They will partner with engineering to scale data systems in the compliance domain.