ZipRecruiter

Log In

2

Remote Product Optimization Jobs in San Rafael, CA

Anara Labs, Inc

Technical Product Manager

San Francisco, CA · On-site +1

$196K - $227K/yr

$150K - $200K // 0.50% - 1.00% // San Francisco or Remote (North America, Europe) Role As our first ... Optimizing existing flows to reduce friction, lower churn and increase conversion. * Working ...

DocuSign

Senior Product Manager

San Francisco, CA · On-site +1

$146K - $235K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... spot optimization opportunities, and inform product decisions, with a bias towards building ...

Augment CXM

Lead Product Designer

San Francisco, CA · On-site +1

$182K - $224K/yr

Experience designing and optimizing analytics dashboards or data based products * Experience ... remote). Augment is an equal opportunity employer and values diversity at our company. We do not ...

Fastly

Staff Product Manager, Metacognition

San Francisco, CA · On-site +1

$211K - $253K/yr

... optimization, and decision-making * Experience turning complex data into intuitive user experiences ... For role with a flexible work location (office/hybrid or remote) The preferred locations for this ...

Vercel

Product Security Engineer

San Francisco, CA · On-site +1

Because of this, we're optimizing for someone who wants to build systems, not someone whose ... If you're located beyond that distance, the role is fully remote. For location-specific details ...

Samsara

Senior Product Manager, Growth

San Francisco, CA · Remote

$149K - $196K/yr

This role is a remote based role in the United States. In this role, you will * Define and own the ... Experience owning or optimizing trial, purchase, or renewal experiences. * Hands-on experience ...

Crescendo.ai

AI Product Manager

San Francisco, CA · Remote

$150K - $250K/yr

... optimization. You will bridge cutting-edge LLMs and agentic workflows with enterprise needs ... This is a fully remote role where you\'ll work together with cross-functional teams across the ...

previous pagenext page

Showing results 21-40

All JobsProduct Optimization JobsRemote Product Optimization JobsRemote Product Optimization Jobs in San Rafael, CA

Remote Product Optimization information

See San Rafael, CA salary details

$29.5K

$108.5K

$231.9K

How much do remote product optimization jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote product optimization in San Rafael, CA is $108,549.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,100.00 and $130,400.00 per year, depending on experience, location, and employer.

What is the difference between Remote Product Optimization vs Remote Data Analyst?

AspectRemote Product OptimizationRemote Data Analyst
Primary FocusImproving product performance and user experienceAnalyzing data to support business decisions
Skills & CertificationsProduct management, UX, analytics toolsData analysis, SQL, statistical skills
Work EnvironmentCollaborates with product teams, designers, developersWorks with datasets, reporting tools, dashboards
Industry UsageTech, e-commerce, SaaS companiesFinance, marketing, healthcare sectors

Remote Product Optimization focuses on enhancing product features and user experience, while Remote Data Analysts interpret data to inform strategic decisions. Both roles require analytical skills but differ in their core objectives and daily tasks.

What is a remote product optimization specialist?

A Remote Product Optimization specialist is a professional who analyzes and improves products or services for a company while working from a remote location. Their main goal is to enhance product performance, usability, and customer satisfaction by using data analysis, user feedback, and market research. They collaborate with cross-functional teams such as product managers, designers, and engineers to implement changes that drive business growth. This role often requires strong analytical skills, communication abilities, and familiarity with digital tools for remote collaboration.

What are the key skills and qualifications needed to thrive as a remote product optimization specialist?

To thrive as a Remote Product Optimization Specialist, you need strong analytical skills, experience in data-driven decision-making, and a background in marketing, business, or a related field. Familiarity with A/B testing tools, web analytics platforms like Google Analytics, and conversion rate optimization (CRO) software is typically required. Excellent communication, problem-solving abilities, and self-motivation are standout soft skills for collaborating remotely and driving project outcomes. These skills ensure effective product improvements, data-informed strategies, and successful optimization in a remote work environment.

What are the typical collaboration methods for a remote product optimization professional working with cross-functional teams?

Remote Product Optimization professionals frequently collaborate with product managers, designers, engineers, and data analysts using virtual communication tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins, virtual brainstorming sessions, and asynchronous updates are common to ensure alignment and progress toward optimization goals. Building strong communication habits and clear documentation is crucial for remote roles, as it helps bridge the gap created by physical distance and ensures that all stakeholders remain informed and engaged throughout product improvement cycles.
What job categories do people searching Remote Product Optimization jobs in San Rafael, CA look for? The top searched job categories for Remote Product Optimization jobs in San Rafael, CA are:
What cities near San Rafael, CA are hiring for Remote Product Optimization jobs? Cities near San Rafael, CA with the most Remote Product Optimization job openings:
Remote Product Optimization jobs near you
Infographic showing various Remote Product Optimization job openings in San Rafael, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $108,549 per year, or $52.2 per hour.

Principal Product Manager - Search Relevance (Remote - United States)

Yelp, Inc

San Francisco, CA • On-site, Remote

Full-time

Re-posted 17 days ago

Yelp rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

136th of 242 rated software companies

Job description

Summary
Yelp is the ultimate guide to local living. We connect people with great businesses in their neighborhoods. Yelp boasts a robust ecosystem with hundreds of millions of users and an equally vast number of businesses.
As a Technical Product Leader for Search, you will lead the development and optimization of cutting-edge algorithms and systems that enable consumer engagement. You will work closely with a team of talented engineers to design, implement, and iterate on personalized, context-aware business recommendations.
We'd love you to apply, even if you don't feel you meet every single point in this posting. At Yelp, we're looking for great people, not just those who simply check off all the boxes.
This opportunity is fully remote and does not require you to be located in any particular state within the US. We welcome applicants from throughout the US. We'd love to have you apply, even if you don't feel you meet every single requirement in this posting. At Yelp, we're looking for great people, not just those who simply check off all the boxes.
What you'll do:
  • Strategy and Vision: Define and execute a product roadmap for Search, aligned with Yelp's overall business objectives by staying abreast of industry trends and competitive landscape and identifying opportunities for innovation.
  • Customer Empathy: Understand consumer needs and pain points, and translate them into product requirements by working closely with UXR and Data Science.
  • Algorithm Development: Identify areas for improvement, define & prioritize algorithm development initiatives aligned with business objectives and market trends.
  • Data Analysis: Analyze large datasets to identify trends and opportunities for improvement. Leverage data-driven insights to inform product decisions and optimize algorithm performance.
  • Product Development: Lead the development of Search products from conception to launch. Foster a data-driven culture to measure and optimize product performance.
  • Organizational and Technical Leadership: Collaborate with engineering, design, and data science to deliver exceptional products. Lead and mentor a team of data scientists, engineers, and analysts and drive innovation on search algorithms.
  • Business Impact: Drive consumer engagement and retention through innovative product solutions.

What it takes to succeed:
  • Proven track record and extensive experience in leading technical product development in a fast-paced, data-driven environment, preferably in the Search space.
  • Strong understanding of machine learning.
  • Strong analytical skills and ability to translate data into actionable insights.
  • Excellent communication and collaboration skills to influence stakeholders at all levels.
  • Strong collaborator who enjoys working across different teams, functions, and timezones.
  • Advanced degree in Computer Science, Economics, Statistics, or a related field and have experience solving large computational problems.
  • A Bachelor's Degree or an equivalent work experience is required

What you'll get:
  • There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience. Based on the anticipated level of experience we are seeking, we expect the compensation range for this role to be between $207,000 and $326,000.
  • You may also be offered a bonus, restricted stock units, and benefits.
  • This opportunity has the option to be fully remote in all locations across the US.
  • You can find more information about Yelp's five star benefits here!

Closing
At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education - and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include "Playing Well With Others" and "Authenticity."
We're proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability.
Actual salary offered may vary based on multiple factors, including but not limited to, an individual's location and experience.
We will consider for employment qualified candidates with arrest and conviction records, consistent with applicable law (including, for example, the San Francisco Fair Chance Ordinance for roles based in San Francisco, the Los Angeles County Fair Chance Ordinance for roles based in the unincorporated areas of Los Angeles County, and the California Fair Chance Act for roles based in California).
Where required by law, a criminal background check will not be conducted until after a conditional offer of employment is made, and any evaluation of a candidate's criminal background check will be subject to an individualized assessment that takes into account the candidate's specific criminal records and the responsibilities and requirements of the particular role.
We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 415-969-8488.
Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.
US Recruiting and Applicant Privacy Notice
Notice to Washington Applicants - Washington State Fair Chance Act
#LI-Remote

What Yelp employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply