Kovari Industries Logo

Kovari Industries

Robot Operations Manager

Posted One Month Ago
In-Office
San Francisco, CA, USA
Entry level
In-Office
San Francisco, CA, USA
Entry level
Leads on-site robot operators, owning hiring, training, scheduling, safety, quality, performance metrics, and customer workflow integration. Manages multi-shift operations, coaches staff, addresses performance issues, documents operating playbooks, handles incidents, and routes field feedback to engineering. The role requires hands-on, in-person leadership across operational sites and continuous improvement of robot and operator performance.
The summary above was generated by AI

About Kovari
Kovari develops frontier technology to transform physical businesses. We partner with established operators to change how they run, and we build and operate businesses of our own through our subsidiaries.

We are a small team of builders, operators, and researchers. We deploy on site, alongside the businesses we serve, and iterate in the field. We have raised over $6M from leading investors.

We are based in San Francisco and work in person.

The Role
You will lead the on-site operators who run our robots every day. You own the team, the shifts, and the results: robots working safely, consistently, and at the pace our customers need. Your operators are also the front line of our data flywheel, so how well they work shapes how fast our robots improve.

What You'll Do

  • Hire, train, and lead teams of on-site robot operators

  • Build shift schedules and staffing plans across sites

  • Set standards for safety, task quality, and data quality, and hold the team to them

  • Track operator and robot performance: tasks completed, interventions, uptime, throughput

  • Coach operators, run daily standups, and handle performance issues directly

  • Work with customer staff to fit robots into their daily workflows

  • Capture field issues and operator feedback and route them to engineering

  • Write and improve playbooks for operating, escalating, and handling incidents

What You Bring

  • Experience managing frontline or hourly teams in operations, hospitality, logistics, or similar

  • Track record of hiring, training, and retaining strong operators

  • Comfort running multi-shift, multi-site schedules

  • Data-driven: you run the team on metrics, not gut feel

  • Calm under pressure and clear with both customers and engineers

  • Comfort with technology; robotics experience is a bonus, not a requirement

  • Willingness to be on site and step in when needed

  • Bias toward action: solve today's problem, then fix the system behind it

Values

  • Pace of learning trumps everything.

  • Relentless refinement of our craft.

  • Low ego, high ownership.

  • All-in on the mission. We work in person, and this isn't a 9-to-5.

Similar Jobs

20 Hours Ago
In-Office
San Jose, CA, USA
150K-190K Annually
Senior level
150K-190K Annually
Senior level
Artificial Intelligence • Robotics • Automation • Manufacturing
Lead and scale a 24/7 Robot Operations team responsible for deploying, operating, and troubleshooting humanoid robots. Manage hiring, training, scheduling, coverage, safety, issue documentation, escalation through Jira, operational metrics, and continuous improvement. Partner with engineering teams to resolve robot performance issues, support customer use cases, and maintain high robot uptime. The role also requires hands-on robot operation and occasional travel.
Top Skills: Ai Data CollectionHumanoid RobotsJIRAMechanical SystemsRobotics
30 Minutes Ago
In-Office
San Francisco, CA, USA
200K-325K Annually
Senior level
200K-325K Annually
Senior level
Artificial Intelligence • Software
Own the AI research roadmap from problem identification through production deployment. Develop LLM and deep learning methods for legal text reasoning, extraction, drafting, redlining, hallucination mitigation, explainability, and efficient inference. Build evaluation datasets and benchmarks, assess emerging techniques, collaborate with Engineering and Product, and communicate findings to technical and non-technical audiences.
Top Skills: Agentic SystemsDeep LearningJaxLlmsLong-Context ModelingModel EvaluationParameter-Efficient Fine-TuningPyTorchQuantizationRetrieval-Augmented GenerationSpeculative DecodingTensorFlow
30 Minutes Ago
In-Office
San Francisco, CA, USA
190K-230K Annually
Mid level
190K-230K Annually
Mid level
Artificial Intelligence • Software
Manage enterprise SaaS customer relationships from onboarding through renewal and expansion. Develop success and recovery plans, drive product adoption, resolve issues, provide training and demonstrations, conduct business reviews, and advocate for customer needs internally. The role requires strategic account ownership, strong communication, retention planning, value-based selling, and experience supporting mid-market and enterprise customers.
Top Skills: Artificial IntelligenceLarge Language ModelsSaaS

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account