5 ml operations manager jobs at 4 companies in Encinitas, CA

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Escrow Closing Manager
San Diego, California, United States
$80k-$180k/yr OnsiteFull Time
GG Homes
GG Homes: Buying, renovating, and selling residential and commercial real estate.
Experience managing escrow closings, real estate contracts, familiarity with MLS, DocuSign, Zipforms, and CRM; strong communication and organization.
MLS, DocuSign, Zipforms, CRM, Google Suite
1mo
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Sr. Manager Strategy
San Diego, California, United States
$167k-$251k/yr OnsiteFull Time
Qualcomm
QualcommNASDAQ: QCOM: Designs and manufactures semiconductors and wireless telecommunications products.
4+ YOE4+ years strategy experience with semiconductor/AI/ML knowledge, strong analytical, communication, and cross-functional leadership skills; Bachelor's or Associate degree with commensurate experience.
3w
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Sr. Staff Product Manager - AI Enablement Lead
Mountain View or San Diego
$206k-$278k/yr OnsiteFull Time
Intuit
IntuitNASDAQ: INTU: Provides financial software for accounting, tax, and personal finance.
12+ YOE12+ years designing or operating production AI/ML systems or enterprise workflow platforms, 3+ years driving change inside other organizations, bachelor's required (CS/Engineering preferred), experience taking AI workflows to production and influencing senior stakeholders.
1mo
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Principal, AI Workflow Enablement Lead
Mountain View or San Diego
OnsiteFull Time
Intuit
IntuitNASDAQ: INTU: Provides financial software for accounting, tax, and personal finance.
12+ YOE12+ years building or operating production AI/ML systems or workflow platforms, 3+ years driving change inside other organizations, Bachelor's required (CS/Engineering preferred), track record scaling AI workflows to production, VP-level stakeholder influence.
1mo
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Director of Strategic Analytics
Foothill Ranch, California, United States
$170k-$200k/yr HybridFull Time
Gatekeeper Systems
Gatekeeper Systems: Provides retail loss prevention and intelligent shopping cart solutions.
10+ YOE10+ years in BI/analytics or related fields; experience translating analytics into operational recommendations for enterprise customers; expertise in KPI, data governance, and analytics strategy; executive presence and customer-facing skills; AI/ML preferred.