Jobs at Tempo Software

Lead global partner marketing strategy to drive partner-influenced pipeline and revenue. Build enablement, joint demand-gen, field marketing, turnkey campaign kits, and marketplace optimization. Manage budgets, MDF, partner segmentation, and an EMEA Partner Marketing Manager while collaborating with Channel Sales and Partner Enablement.

Lead and scale Tempo's Product Operations by building operating cadence, tooling, AI-driven workflows, dashboards, and enablement programs. Partner with CPO and cross-functional leaders to align strategy, roadmap, capacity, and customer insights to improve product delivery and outcomes.

Lead end-to-end program management for large cross-functional product initiatives, drive alignment across teams, track readiness and adoption, surface risks, report to leadership, run post-launch retrospectives, and apply AI tools to streamline program execution.

Own the post-sale lifecycle for enterprise accounts, drive GRR/NRR, manage renewals and expansions, run executive reviews and success plans, boost product adoption, use AI-assisted tooling for efficiency, forecast renewals, document outcomes in Gainsight, and collaborate with Product and Sales to surface case studies and customer-driven product improvements.

Own product strategy and roadmap for Tempo Financial Manager's budgeting, cost, and billing features. Lead discovery with CFOs and FP&A leaders, design scenario modeling and continuous forecasting, and connect portfolio decisions to financial plans. Partner closely with engineering, design, and integrations teams to link Jira, capacity, and timesheet data to budgets, forecasts, and earned-value metrics, and drive ERP integrations (SAP/Oracle/Workday).

The Vice President of AI will define and lead the AI strategy at Tempo, integrating AI capabilities into products, building teams, and ensuring ethical use of AI while driving business outcomes and customer value.

Lead the product strategy for Loop's Competitive Intelligence module, integrating external intelligence into strategic portfolio decisions, and collaborating with cross-functional teams to enhance competitive positioning.

The Senior AI/ML Engineer will develop AI systems for enterprise decision-making, focusing on LLMs and real-time data processing. Responsibilities include building detection systems, insight engines, evaluation frameworks, and collaborating with engineers to ensure robust AI product engineering.

Design, develop, deploy, and maintain cloud-native full-stack features and APIs. Improve performance, reliability, and security; write tests; debug production issues; collaborate with product, SRE, QA, and support teams; use AI-assisted coding tools to accelerate delivery.

The Senior Analytics Engineer will build and maintain data foundations for corporate reporting, translating business requirements into data models, ensuring consistent metric definitions and investigating data discrepancies for reliable reporting.