Jobs at SugarAI

The FP&A Manager owns financial planning, budgeting, forecasting, reporting, modeling, and decision support. Responsibilities include maintaining driver-based financial models, consolidating forecasts, conducting scenario analyses, partnering with business leaders on headcount and investments, analyzing performance drivers, preparing executive reporting, and identifying risks and opportunities. The role also supports monthly close alignment with Accounting and monitors SaaS, operational, and financial KPIs in a hybrid Denver environment.

Manages a software engineering delivery team in an AI-first SaaS environment. Responsibilities include driving agentic development adoption, improving delivery systems and performance metrics, managing scope and execution, removing blockers, coaching engineers, overseeing hiring and development, and participating in technical reviews. The manager partners with product and engineering leadership to ensure predictable delivery, strong quality, effective AI tool usage, and team growth.

Build and own SaaS features end-to-end using agentic development workflows, executable specifications, and AI coding tools. Design, implement, test, review, and deploy reliable high-volume software while evaluating AI-generated code for correctness, security, and quality. Collaborate with product, design, and QA teams, contribute to engineering standards, and communicate clearly across distributed teams.

Generate qualified sales opportunities for SugarAI’s North America sales team through outbound phone, email, social, and video prospecting. Research target accounts, engage decision-makers, uncover needs, manage the outbound pipeline in the CRM, overcome objections, meet lead-generation targets, and maintain accurate records. The role requires personalized, consultative outreach and is on-site four days per week in Denver.

Leads complex software features from specification through production in high-volume SaaS environments. Defines engineering and agentic development standards, uses AI coding tools, reviews AI-generated code, makes architectural decisions, mentors engineers, and collaborates cross-functionally. The role emphasizes executable specifications, reliable APIs, automated testing, observability, technical communication, and improving team-wide delivery quality.

Develop scoped features for a B2B SaaS platform using agentic coding workflows and executable specifications. Write and review AI-generated code, create unit and integration tests, participate in code reviews and Agile ceremonies, and communicate requirements and blockers clearly. The role emphasizes learning spec-driven development, evaluating AI output for correctness, and delivering reliable, production-ready software with guidance from senior engineers.