Jobs
We’re looking for an experienced Shift Lead to oversee day-to-day operations at our San Francisco site. In this role, you’ll be responsible for real-time execution on the floor — ensuring that people, processes, and equipment are aligned to meet daily production goals. You’ll coordinate staffing and priorities, maintain a steady operational rhythm, and communicate clearly with both operators and cross-functional teams to keep everything running smoothly.
This role covers 3pm to midnight.
Total Views
0
Apply Clicks
0
Weekly mock applicants
0
Bookmarks
0
Similar jobs

Regional Manager - San Francisco, CA
Stanley Black & Decker · San Francisco

Lead Retail Associate- Golden State Warriors Thrive City Team Store
Fanatics · San Francisco, CA, United States, US

AI Performance Optimization Team Lead
Lightning AI · San Francisco, California, United States

Lead Retail Associate- San Francisco Giants Team Store
Fanatics · San Francisco, CA, United States, US

Manager, Business Development (Retail Pre-Sales)
DoorDash · San Francisco, CA; New York, NY; Los Angeles, CA; Chicago, IL; Seattle, WA
About Physical Intelligence
Salary Ranges
4 data points
Senior/L5
Staff/L6
Senior/L5 · Software Engineer
2 reports
$276,565
total per year
Base
$213,512
Stock
-
Bonus
-
$264,910
$276,565
News & Buzz
Physical Intelligence π0.7: A Steerable Model with Emergent Capabilities
HN
·
5d ago
·
1
Physical Intelligence, a hot robotics startup, says its new robot brain can figure out tasks it was never taught - MSN
MSN
News
·
5d ago
EXCLUSIVE: Physical Intelligence’s New Robot Brain Called Pi 0.7, Can Combine Skills It Already Knows To Complete Tasks It Was Never Trained On. And The Researchers Behind It Say The Results Surprised Even Them 🤯🤖
San Francisco-based robotics startup Physical Intelligence has released a technical report on pi 0.7, the latest iteration of its flagship vision-language-action model, documenting a capability that has never been reliably demonstrated in a robot AI system before: compositional generalization, the ability to combine skills learned from separate tasks and apply that combined knowledge to entirely new challenges without any additional training or fine-tuning. The team openly states that the resul
·
6d ago
·
19
·
2
AGIBOT Declares 2026 "Deployment Year One" at APC 2026, Accelerating the Era of Embodied AI Productivity - PA Media
PA Media
News
·
6d ago
