Early Interest

This is a general expression of interest posting with no specific role defined. It invites candidates to submit their information for future opportunities within the company.

This is an open application for future roles across multiple locations, allowing candidates to express interest in joining the company. The talent pool is used to match candidates with suitable positions as they become available, considering a variety of roles based on skills and experience.

This is a general application for future opportunities at Flowcode, allowing candidates to express interest in potential roles. The position is not specific and serves as a talent pipeline for the company.

This is a general interest posting for JMI Equity, inviting candidates to express interest in potential future roles at the firm. It serves as a talent pipeline for various positions across the organization, with no specific role or responsibilities defined.

This role leads strategic account management for Smartly's largest North American advertisers, building joint business plans, driving revenue growth, and orchestrating cross-functional teams. The Client Lead acts as a trusted advisor, aligning product roadmaps and ensuring operational excellence across key accounts. Requires 8-12 years in ad-tech/mar-tech with a proven track record of growing strategic accounts and engaging C-level stakeholders.

This Senior Software Engineer role focuses on designing and building a scalable, fine-grained authorization system for a multi-tenant SaaS platform. The engineer will architect permission models, implement access-control policies, and build microservices using TypeScript, NodeJS, and Postgres, with a strong emphasis on security, auditability, and observability. The role requires deep expertise in RBAC, policy-based access control, and distributed systems, and involves mentoring other engineers and shaping the future architecture of the authorization platform.

This role focuses on building and maintaining backend services for Smartly's AI-powered campaign optimization products, supporting data scientists in bringing ML models to production. The engineer will work with Python, TypeScript, and cloud infrastructure, and contribute to architectural decisions and best practices.