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Remote Product Optimization Jobs in California (NOW HIRING)

talentpluto

SEO Content Specialist

San Francisco, CA · On-site +1

Location: Remote (United States) Work Model: Remote Industry: B2B SaaS / data enrichment ... Scale content production using modern AI tooling * Stay ahead of search and answer-engine trends ...

PracticeTek

Website Optimization Manager

Whether you're building products, supporting customers, or driving strategy, your journey with ... This is an onsite or remote position. We're excited to consider remote candidates for this role!

TecTammina

Core Banking Product Manager

Fremont, CA · Remote

Remote, Global. Salary range: Very competitive base + benefits -- Our client is an exciting and ... Drive creative resolution of escalated project issues with optimal business outcome across multiple ...

TecTammina

Core Banking Product Manager

San Jose, CA · Remote

Remote, Global. Salary range: Very competitive base + benefits -- Our client is an exciting and ... Drive creative resolution of escalated project issues with optimal business outcome across multiple ...

Hercules

SEO Content Writer

San Francisco, CA · On-site +1

$100K - $250K/yr

We expect you to be able to product ~50+ high quality articles a month, if not more What are ... Is Hercules in-office or remote? Hercules founding team works in-office in San Francisco (Kearny ...

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Remote Product Optimization information

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 are the most commonly searched types of Product Optimization jobs in California? The most popular types of Product Optimization jobs in California are:
What are popular job titles related to Remote Product Optimization jobs in California? For Remote Product Optimization jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Product Optimization jobs in California look for? The top searched job categories for Remote Product Optimization jobs in California are:
What cities in California are hiring for Remote Product Optimization jobs? Cities in California with the most Remote Product Optimization job openings:
Remote Product Optimization jobs near you
Infographic showing various Remote Product Optimization job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Independent Board Director (ML-Driven Product & Data Platform Leader)

Appodeal

San Francisco, CA • Remote

$274K - $287K/yr

Full-time

Re-posted yesterday

Job description

Appodeal is a dynamic US-based product company with a truly global presence.

We have offices in Warsaw, Barcelona and Parkland (FL), along with remote team members located around the world.

Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space.

Why Appodeal?

At Appodeal, we're more than just a company—we're a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses!

We take pride in our cutting-edge product and our internationally dispersed team of talented professionals.

Here's what we value, and what we hope you do too:

  • Continuous Learning and Growth: We are passionate about learning, growing personally, and building rewarding careers.
  • Making an Impact: We are committed to building a history-defining company that leaves a lasting impact on the mobile app industry.
  • Solving Exciting Challenges: We tackle complex problems every day, supported by a team of world-class professionals and mentors.
  • Enjoying the Journey: We believe in having fun while working toward our goals.

We are seeking an independent board director with deep experience operating ML-driven products and data platforms at scale.

This role is not focused on academic research or algorithm development. Instead, we are looking for a leader who has built organizations where data, experimentation, and machine learning directly drive product decisions, optimization, and revenue growth.

The ideal candidate brings expertise in areas such as:

  • building strong data science organizations;
  • designing data platforms and experimentation infrastructure;
  • integrating ML into product decision loops;
  • developing operating cultures built around data and experimentation;

This is a non-executive board position, not an operating role.

Appodeal is building a performance-driven technology platform powered by data and machine learning.

Our systems rely on:

  • large-scale data pipelines;
  • real-time decision systems;
  • automated optimization;
  • experimentation and model iteration.

The company operates an ecosystem including:

  • advertising infrastructure;
  • demand-side platform (DSP);
  • supply-side platform (SSP);
  • mobile game publishing and development.

Machine learning and data infrastructure are core to the company's long-term competitive advantage.

Strategic Focus of the Role

The mission of this role is to strengthen the board's ability to guide the company in building a world-class data and machine learning organization.

The director will contribute a perspective on:

  • structuring and scaling data science teams;
  • designing experimentation-driven product cultures;
  • building high-quality data platforms and infrastructure;
  • integrating ML systems into business decision processes;
  • best practices for data-driven product development;
  • organizational structures that allow ML systems to improve continuously.

This role focuses on how ML-driven companies operate, rather than on the underlying algorithms themselves.

Responsibilities

Board members are expected to:

  • Participate in quarterly board meetings;
  • Provide independent strategic guidance to the CEO and leadership team;
  • Contribute to discussions around data platform strategy and ML-driven product development;
  • Provide perspective on organizational structure for data science and ML teams;
  • Help evaluate major technical and infrastructure investments;
  • Share insight from companies where ML directly drives business outcomes;
  • Board members are not involved in day-to-day operations.


Ideal Background

We are looking for a technology or product leader who has built ML-driven product organizations where data science plays a central role in revenue generation and product optimization.

Prior board experience is welcome but not required.

What We Value

We are looking for individuals who bring:

  • deep experience running ML-driven product organizations:
  • strong operational judgment;
  • experience building data-driven engineering cultures;
  • an independent mindset;
    willingness to challenge assumptions constructively.

Time Commitment

Estimated commitment: approximately four weeks per year. This includes preparation and participation in board meetings as well as occasional strategic discussions with the leadership team.

With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team.

Join us and help shape the future of mobile app success!