Tempo
SaaS
ProductManager,AIRecommendations&IntelligentPlanning
“Product Manager, AI Recommendations & Intelligent Planning at Tempo. Skills: AI Recommendations, Intelligent Planning, enterprise planning, organizational decision-making, AI recommendation systems, rules engines, decision automation. 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”
What You'll Achieve.
make their workflows work better; help the world work smarter, not harder; Loop gives users decisions; making that information actionable at scale; improve productivity
Industry & Context.
the hardest product problem in the platform to get right; systems-level product challenge
What They're Looking For.
Must Have
3-5 years in a role where you were responsible for making AI, data, or ML systems actionable inside complex organizations — consulting, decision intelligence, enterprise product management, or strategic advisory, Deep familiarity with how enterprise planning decisions actually get made: who has authority, how recommendations move through governance, and why good analysis so often stalls at the approval stage, Experience with AI recommendation systems, rules engines, or decision automation — either as a builder, a buyer, or an implementer who has seen them fail and understands why, Genuine sophistication about what makes an AI recommendation trustworthy: explainability, auditability, calibration, and the organizational conditions under which humans will act on machine-generated guidance, Fluency with the concepts that feed this system: demand management, competitive intelligence, portfolio governance, scenario planning, and risk-adjusted prioritization, Comfort working directly with AI tools to accelerate your own work — you are already using LLMs to think through product problems, draft requirements, and stress-test logic. This is expected and foundational here., Ability to hold systems complexity without losing sight of the user: the person on the receiving end of a recommendation is a busy executive who needs to trust it in thirty seconds, written you can write a crisp one-pager that earns alignment without a meeting
What You'll Do.
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
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
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
and enterprise architects who are responsible for keeping large organizations strategically aligned
How You'll Work.
Team & Collaboration
Collaboration with Chief Strategy Officers, portfolio leaders, PMO heads, and enterprise architects; Join a supportive, collaborative UX team that values openness, communication, and a continuous learning environment.
Communication Scope
write a crisp one-pager that earns alignment without a meeting
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