Product Manager, AI Recommendations & Intelligent Planning

About the role

Most enterprise software gives users data. Loop gives users decisions. The Recommendations Skill is the engine behind that distinction - and it is the hardest product problem in the platform to get right. We are looking for a Product Manager who has operated at the intersection of AI systems, enterprise planning, and organizational decision-making. You may have come from management consulting, decision intelligence, enterprise architecture, or a data product role where you were responsible not just for surfacing information but for making that information actionable at scale. You understand that an AI recommendation is only as good as the trust the organization places in it - and that trust is built through transparency, governance, and the ability to explain why a recommendation was made. This group owns the full recommendation lifecycle: signal ingestion and synthesis, insight generation, rule-based evaluation, recommendation creation, governance and approval workflows, and the batch re-evaluation engine that keeps the plan current as conditions change. It is a systems-level product challenge with a direct line to customer outcomes.

Responsibilities

• The end-to-end product strategy and roadmap for Loop's Recommendations Skill - from signal to approved action
• Planning rules as a first-class product concept: how organizations define, manage, and version the guardrails that govern when and how recommendations are generated
• The recommendation surface: how Loop presents prioritized, explainable recommendations to the right stakeholder at the right moment - with full reasoning visible
• Governance and approval workflows: how recommendations move through human review, queuing, escalation, and batch approval without creating bottlenecks or losing context
• Batch re-evaluation: how Loop continuously re-scores open recommendations as new signals arrive, ensuring the plan reflects current reality - not last quarter's assumptions
• Competitive analysis integration: how external market signals and competitor movements are weighted into portfolio recommendations
• Discovery with Chief Strategy Officers, portfolio leaders, PMO heads, and enterprise architects who are responsible for keeping large organizations strategically aligned
• The recommendation engine you will be building around
• Loop's Recommendations Skill is not a notification system or a dashboard with suggested actions. It is a continuous, AI-led planning layer that operates on the following model - which you will own, challenge, and evolve:
• Signals - the raw inputs: portfolio KPIs, delivery metrics, capacity utilization, demand forecasts, market data, competitive intelligence feeds, and internal stakeholder inputs. Signals are always on; the system is always listening.
• Insights - synthesized patterns derived from signals. An insight is not a data point; it is a conclusion. 'Three high-priority initiatives are competing for the same critical skill pool in Q3' is an insight. The system generates insights continuously and ranks them by strategic relevance.
• Planning Rules - the organization's encoded decision logic: investment thresholds, risk tolerances, strategic priorities, compliance constraints, and governance policies. Rules determine which insights escalate into recommendations and shape how those recommendations are framed.
• Competitive Analysis - external signals from market intelligence feeds and competitor monitoring that contextualize internal portfolio decisions. A capacity reallocation recommendation looks different when a competitor has just announced a product in the same space.
• Demand Management - the interface between incoming work requests and available portfolio capacity. Loop evaluates new demand against current commitments and generates intake recommendations that reflect real constraint, not optimistic capacity math.
• Recommendations - prioritized, explainable actions surfaced to the right stakeholder. Every recommendation carries its full reasoning chain: which signals triggered it, which planning rules evaluated it,

Benefits

Additional Information

With over 30,000 customers, including a third of Fortune 500 companies, Tempo is trusted by organizations across the globe to make their workflows work better. We create a suite of integrated solutions for time management, resource planning, budget management, roadmapping, program management, reporting and more. We create the tech that enables the modern team to deliver - for every step from first vision to value. Since our beginning in 2007 as a project to make a time-tracking tool to help a client - Tempo has expanded to become the #1 time management add-on for Jira, and we have developed and acquired a multitude of tools to become one of the most trusted names in the Atlassian ecosystem. We want everyone to work better - but we also want to be a tech company with a heart. Join us as we continuously innovate our award-winning products, create new solutions, and help the world work smarter, not harder.

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