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Tempo Software

WebsiteLinkedInAll Job Openings

201 - 500 employees

☁️ SaaS

🏢 Enterprise

⚡ Productivity

SaaS • Enterprise • Productivity

Tempo Software is a company that offers project and portfolio management solutions, particularly focused on integration with Jira. Their products include timesheets, capacity planners, strategic roadmaps, and custom charts, providing tools to increase productivity and enhance workflow transparency across teams and organizations. Tempo Software aims to unify teams, streamline processes, and optimize resource allocation, while offering features like real-time progress tracking and risk mitigation. Trusted by over 30,000 global companies, Tempo Software provides a flexible platform for strategic alignment and execution across enterprise-level projects.

📋 Description

• Design, build, and ship production-grade agentic AI workflows on the Vertex / Gemini Enterprise Agent Platform that automate real business-operations processes end to end. • Make Gemini, Claude, Slack (Slackbot), and Atlassian Rovo work together – orchestrating multi-model, multi-tool agents that reason, retrieve, call APIs, and take action across Tempo's stack rather than living in a single tool. • Partner first with PMO, Procurement, and Enterprise Applications – then expand to Accounting, FP&A, RevOps, and the CFO organization – to identify high-value automation opportunities and translate them into shipped workflows. • Run discovery with operations stakeholders: map the current process, define the target state, and scope what to automate, what to assist, and what to leave to humans. • Implement tool use and function calling so agents can fetch data, trigger APIs, and execute actions across Jira, Confluence, Slack, Google Workspace, procurement and finance systems, and other internal applications. • Build retrieval-grounded (RAG) and memory-enabled agents that draw on Tempo's knowledge so outputs are accurate, current, and context-aware. • Engineer reliable prompts, agent instructions, and orchestration logic; select the right model for each task and optimize for quality, latency, and cost. • Design guardrails, human-in-the-loop approvals, logging, and evaluation into every workflow – treating safety, auditability, and data governance as first-class requirements in partnership with the AI Ops governance layer. • Instrument workflows with monitoring, tracing, and success metrics; measure adoption and hours saved, and iterate based on real usage. • Establish and grow Tempo's AI Builder playbook – reusable patterns, templates, connectors, and standards so automations are consistent, secure, and easy to maintain as the practice scales. • Document workflows and enable business teams to adopt, trust, and (where appropriate) self-serve the agents you build. • Stay current with the fast-moving agentic AI landscape (models, frameworks, the evolving Vertex / Gemini Enterprise and Atlassian Rovo ecosystems) and bring practical recommendations back to the business. • Support the Tempo Way of Working by using Tempo and Jira products to manage and instrument the AI workflows you build.

🎯 Requirements

• 4+ years of software, AI/ML, data, or automation engineering experience in technology or SaaS environments, including taking solutions from prototype to production. • 1+ year of hands-on experience building with LLMs and agentic AI – multi-step agents that use tools, maintain memory, and execute real actions (not just chat or content generation). • Hands-on familiarity with the Vertex AI / Gemini Enterprise Agent Builder platform (or a comparable enterprise agent platform) for designing and deploying agents. • Demonstrated fluency across the tools this role must integrate: Gemini, Claude, Slack/Slackbot, and Atlassian Rovo – and a track record of making multiple models and tools work together in a single workflow. • Strong skills in prompt engineering, tool/function calling, and API integration; comfortable working in Python (or similar) and wiring up systems that don't natively talk to each other. • Experience implementing RAG, retrieval, and grounding against enterprise knowledge sources. • Practical understanding of AI safety and evaluation – guardrails, human approvals, logging, testing, and techniques such as LLM-as-a-judge to assess agent quality and task completion. • Strong systems thinking – you naturally see dependencies, edge cases, failure modes, and second-order effects in a workflow. • Excellent stakeholder management; you can sit with a finance, procurement, or PMO leader, understand their process, and translate it into a working automation. • A bias toward shipping – you build, measure, and iterate rather than over-planning, while respecting security, identity, and data-governance constraints. • Strong written and verbal communication skills, including the ability to explain AI capabilities and limitations to non-technical audiences and to senior leadership. • Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience. • Experience in high-growth environments where ambiguity and change are constant. Experience in the Atlassian ecosystem and/or building automations for finance or operations teams is a strong plus. • Must be based in North America and able to work core hours in the Eastern (EST) time zone.

🏖️ Benefits

• Remote First work environment • Unlimited vacation in most of our locations!! • Great benefits including health, dental, vision and savings plan. • Perks such as training reimbursement, WFH reimbursement, and more. • Diverse and dynamic teams with challenging and exciting work. • An opportunity to have a real impact on our business. • A great range of social activities (both in person and virtual). • Optional in person meet-ups and the ability to travel to our international offices • Employee referral program • And so much more!