Product Manager, AI Recommendations – Intelligent Planning

Tempo Software

Product Manager driving the strategy for AI recommendations and enterprise planning solutions. Join Tempo to innovate and support enterprise users in making informed decisions.

Posted 5/12/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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
Strong written communication; you can write a crisp one-pager that earns alignment without a meeting

Benefits

Comp & perks

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!

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI recommendation systemsdata systemsmachine learningrules enginesdecision automationexplainabilityauditabilitycalibrationdemand managementrisk-adjusted prioritization

Soft Skills

strong written communicationability to hold systems complexitystrategic alignmentuser-centric focusanalytical thinking