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Cheap Jobs in California (NOW HIRING)

Technical Product Manager

San Francisco, CA ยท On-site

$160K - $180K/yr

Decide when a model is actually ready to ship - not based on aggregate accuracy, but on which failure modes are cheap to catch downstream and which are expensive to miss * Turn ambiguous customer ...

By enabling cheap and abundant clean hydrogen, Hgen aims to help decarbonize the more than 10% of global emissions that are best addressed with hydrogen. Learn more about why clean hydrogen is ...

By enabling cheap and abundant clean hydrogen, Hgen aims to help decarbonize the more than 10% of global emissions that are best addressed with hydrogen. Learn more about why clean hydrogen is ...

By enabling cheap and abundant clean hydrogen, Hgen aims to help decarbonize the more than 10% of global emissions that are best addressed with hydrogen. Learn more about why clean hydrogen is ...

By enabling cheap and abundant clean hydrogen, Hgen aims to help decarbonize the more than 10% of global emissions that are best addressed with hydrogen. Learn more about why clean hydrogen is ...

By enabling cheap and abundant clean hydrogen, Hgen aims to help decarbonize the more than 10% of global emissions that are best addressed with hydrogen. Learn more about why clean hydrogen is ...

By enabling cheap and abundant clean hydrogen, Hgen aims to help decarbonize the more than 10% of global emissions that are best addressed with hydrogen. Learn more about why clean hydrogen is ...

You experiment fast and cheap-you'd rather run ten quick tests than perfect one system before launching it. * You operate like a founder-you see what needs to move, make the call, and own the outcome.

By enabling cheap and abundant clean hydrogen, Hgen aims to help decarbonize the more than 10% of global emissions that are best addressed with hydrogen. Learn more about why clean hydrogen is ...

By enabling cheap and abundant clean hydrogen, Hgen aims to help decarbonize the more than 10% of global emissions that are best addressed with hydrogen. Learn more about why clean hydrogen is ...

Familiarity with subscription and LTV dynamics, so you're optimizing toward paying users, not just cheap clicks (Nice to have) Compensation range : The base salary for this full-time position, which ...

Showing results 41-60

Cheap information

See California salary details

$13

$27

$43

How much do cheap jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for cheap in California is $27.62, according to ZipRecruiter salary data. Most workers in this role earn between $21.59 and $31.30 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a cheap, and why are they important?

The job title 'Cheap' is not a recognized real-world professional occupation, so no relevant skills or qualifications can be provided.

What is the difference between Cheap vs Delivery Driver?

AspectCheapDelivery Driver
Required CredentialsNone or minimalDriver's license, sometimes specific certifications
Work EnvironmentVaries, often informal or freelanceVehicle-based, on the road, often outdoors
Industry UsageGeneral term for low-cost optionsTransportation, food delivery, courier services
Search & Comparison IntentFinding affordable options or servicesComparing delivery services or jobs based on pay or cost

While "Cheap" refers broadly to low-cost options or services, a "Delivery Driver" is a specific job role involving transportation of goods or food. The comparison highlights that "Cheap" is a general term, whereas "Delivery Driver" is a profession often associated with specific credentials and work environments. Understanding these differences helps job seekers and consumers find relevant, cost-effective options in the delivery industry.

What are some common challenges faced by professionals working in cost-control or procurement roles, and how can they be addressed?

Professionals in cost-control or procurement roles often encounter challenges such as negotiating with suppliers for the best prices, balancing cost savings with quality, and staying updated on market trends. These roles require strong analytical skills to identify cost-saving opportunities while ensuring that organizational standards are met. Collaboration with various departments and clear communication are crucial to successfully implement cost-effective solutions. Continuous learning and leveraging procurement software can also help streamline processes and manage supplier relationships more effectively.

What does cheap mean in the context of jobs?

'Cheap' is not a standard job title. In employment contexts, the term usually refers to low-cost labor or positions that offer lower wages compared to industry standards. Sometimes, employers or job seekers may use 'cheap' informally to describe jobs that require minimal skills and pay less. However, it is not a formal or recognized profession or job title. If you are searching for cost-effective hiring solutions or affordable jobs, consider using terms like 'entry-level,' 'part-time,' or 'temporary' instead.
What are the most commonly searched types of Cheap jobs in California? The most popular types of Cheap jobs in California are:
What are popular job titles related to Cheap jobs in California? For Cheap jobs in California, the most frequently searched job titles are:
What job categories do people searching Cheap jobs in California look for? The top searched job categories for Cheap jobs in California are:
What cities in California are hiring for Cheap jobs? Cities in California with the most Cheap job openings:
Infographic showing various Cheap job openings in California as of August 2026, with employment types broken down into 1% Internship, 67% Full Time, 30% Part Time, and 2% Contract. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $57,457 per year, or $27.6 per hour.

Technical Product Manager

Bobyard, Inc

San Francisco, CA โ€ข On-site

$160K - $180K/yr

Full-time

Posted 29 days ago


Job description

About Bobyard Construction is a multi-trillion industry running on PDFs, rulers, and 1990s software. The biggest choke point is the cost estimate. Takeoffs are manual, slow, and one mistake blows millions. We use computer vision and NLP to read drawings like an expert estimator, 10x faster and with fewer mistakes. We're backed by 8VC, Primary, and Pear.
About the role You'll own a model-powered product surface end to end: not writing specs and handing them off, but being the person engineering and customers both come to when the question is "why did the model do that, and what do we do about it."
What you'll do
  • Own the roadmap for a model-powered product surface, from customer problem to shipped feature
  • Read eval reports and confusion matrices well enough to argue with the CV engineers, not just relay their conclusions
  • Make and defend accuracy/speed/cost tradeoffs - in the room with engineering, and directly with customers
  • Build and maintain eval sets that keep the team honest about model performance
  • Decide when a model is actually ready to ship - not based on aggregate accuracy, but on which failure modes are cheap to catch downstream and which are expensive to miss
  • Turn ambiguous customer complaints ("it missed something") into a specific, testable model or UX fix
  • Work daily with our CV and ML engineers as a peer who understands the model, not a translator layer

What we're looking for
  • 4+ years in product, with real ownership of a model-powered feature (not just "worked with" a data science team)
  • Fluent in model evaluation - precision, recall, false positive/negative tradeoffs - and can reason about when "85% accurate" is good enough versus when it isn't, based on the cost of the specific errors, not just the aggregate number
  • Has shipped 0-to-1 or a major iteration on an ML/CV-driven product in B2B SaaS
  • Comfortable being the last line of defense on "will this model actually work" for customers and execs
  • Fast learner - no construction background required, but you'll need to be dangerous in it within 30 days
  • Ships fast, iterates in public, doesn't hide behind process

Nice to have
  • Prior experience specifically in computer vision (vs. NLP/LLM-only)
  • Background at a company like Scale AI, Labelbox, Samsara, Matterport, Cape Analytics, or DroneDeploy
  • Comfortable in Figma and reading code, even if you don't ship it

What we offer
  • $160K-$180K base + equity
  • Full-time, in-person in San Francisco - we build together

Comp Philosophy
We are proud to offer competitive, top-of-market compensation because we want to celebrate the dedicated people who ship amazing work and drive our success. Our individual compensation is thoughtfully tailored based on your role, experience, and contributions, alongside performance-based rewards.