2

Remote Amazon Optimization Jobs in California (NOW HIRING)

Director, Affiliate Strategy

Los Angeles, CA · On-site +1

$140K - $150K/yr

This role owns the development, execution, and optimization of affiliate programs that drive ... Monitor competitive ecosystems including Amazon, Shopify, Whatnot, and emerging commerce platforms.

Collaborate with our technical and solutions partners as needed on data optimization and onboarding ... Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft ...

Develop ranking, recommendation, prediction, and optimization models that are explainable rather ... Practical experience with modern GenAI tooling such as LangGraph, LangChain, or Amazon Bedrock.

New

Lead Infrastructure Engineer

Concord, CA · On-site +1

$118K - $154K/yr

... Amazon EKS, ECS, EC2, Lambda, API Gateway, EventBridge, SQS, SNS, DynamoDB, RDS, VPC, and AWS ... remote state securely, and automating AWS infrastructure deployments at scale. Desired ...

Senior iOS Engineer (Remote)

Los Angeles, CA · Remote

$150K/yr

Our customers rely on their service businesses to remain competitive in the age of Amazon, and they ... optimization and performance analysis. If you have the ability and attitude to assume more ...

Senior iOS Engineer (Remote)

Los Angeles, CA · On-site +1

$150K/yr

Our customers rely on their service businesses to remain competitive in the age of Amazon, and they ... optimization and performance analysis. If you have the ability and attitude to assume more ...

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Experience optimizing ML pipelines for large-scale training and data processing. * Experience ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Experience optimizing ML pipelines for large-scale training and data processing. * Experience ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

This role is remote eligible, which means you will work virtually from home or another non-Best Buy ... Experience with platforms such as DV360, The Trade Desk, Yahoo DSP, Amazon DSP, or similar ...

Senior ML Engineer, ML compute

Sunnyvale, CA · On-site +1

$155K - $395K/yr

We enable rapid innovation and feature development by optimizing for high-priority, ML-centric use ... Experience working with Google Cloud Platform, Microsoft Azure, or Amazon Web Services What Will ...

This role is remote eligible, which means you will work virtually from home or another non-Best Buy ... Experience with platforms such as DV360, The Trade Desk, Yahoo DSP, Amazon DSP, or similar ...

Showing results 41-58

Remote Amazon Optimization information

What is remote Amazon optimization?

Remote Amazon Optimization refers to the process of improving and managing product listings, advertising campaigns, and overall sales performance on Amazon from a remote location. Specialists in this role use data analysis, keyword research, and marketing strategies to enhance product visibility, increase conversions, and boost sales. They may work for brands, agencies, or as freelancers, and often collaborate with teams virtually. Typical tasks include optimizing product titles and descriptions, managing PPC ads, monitoring performance metrics, and implementing best practices for Amazon SEO.

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

To thrive as a Remote Amazon Optimization Specialist, you need expertise in e-commerce strategies, Amazon Seller Central, product listing optimization, and data analysis, often supported by experience in digital marketing or certifications like Amazon Advertising. Familiarity with tools such as Helium 10, Jungle Scout, and Amazon PPC platforms is typically required. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for success in this role. These skills help maximize product visibility, drive sales growth, and ensure seamless collaboration with remote teams.

What are some common challenges faced in a remote Amazon optimization role, and how can they be addressed?

One of the main challenges in a remote Amazon optimization role is staying updated with Amazon's frequently changing algorithms and policies, which can impact product visibility and sales. Additionally, effective communication with cross-functional teams, such as marketing, design, and inventory management, can be more complex when working remotely. To address these challenges, it's important to establish regular check-ins with team members, utilize project management tools, and dedicate time for continuous learning about Amazon's platform. Staying proactive and maintaining clear documentation can also help in managing optimization strategies efficiently across remote teams.

What is the difference between Remote Amazon Optimization vs Remote Amazon PPC Specialist?

AspectRemote Amazon OptimizationRemote Amazon PPC Specialist
Primary FocusOverall product listing optimization, including keywords, images, and contentManaging and optimizing Amazon advertising campaigns
Required SkillsSEO, listing optimization, product researchAd campaign management, bid strategies, analytics
CertificationsAmazon SEO certifications, e-commerce experienceAmazon Advertising certifications, PPC expertise
Work EnvironmentRemote, e-commerce teams, product listingsRemote, marketing teams, ad platforms

Remote Amazon Optimization focuses on enhancing product listings to improve organic visibility, while Remote Amazon PPC Specialist concentrates on managing paid advertising campaigns. Both roles often overlap but serve different strategic purposes within Amazon seller operations.

What are popular job titles related to Remote Amazon Optimization jobs in California?

For Remote Amazon Optimization jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Amazon Optimization jobs in California look for?

The top searched job categories for Remote Amazon Optimization jobs in California are:

What cities in California are hiring for Remote Amazon Optimization jobs?

Cities in California with the most Remote Amazon Optimization job openings:

Engagement Manager - AI Agents

Observe.AI

Redwood City, CA • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago


Job description

About Us

Observe.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI Agents that autonomously execute work across the full CX lifecycle-from handling customer conversations to supporting frontline teams and optimizing operations.

Each AI Agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work.

Built on a CX-native foundation, Observe.AI helps leading brands like DoorDash, Affordable Care, Signify Health, and Verida improve customer satisfaction, boost agent productivity, and deliver consistent, scalable performance across every customer interaction.

Why Join Us

As an Engagement Manager for AI Agent deployments, you'll own how we implement VoiceAI and ChatAI for our enterprise customers - from strategy through execution. Your job is to make every deployment smooth, high-impact, and set up for long-term success.

This role blends program leadership, customer strategy, and value realization. You'll guide complex rollouts, coordinate across multiple teams, manage risks, and ensure every launch delivers clear, measurable outcomes.

What You'll Be Doing

  • Lead End-to-End AI Agent Delivery
    • Own AI Agent deployments from kickoff design build testing go-live hypercare optimization.
    • Conduct business and technical discovery to deeply understand customer workflows, KPIs, and success criteria.
  • Orchestrate a Cross-Functional Delivery Pod: 
    • Lead a matrixed delivery team including Experience Designers, AI Agent Engineers, and Telephony Engineers. 
    • Coordinate with Engineering on feature gaps, technical escalations, and roadmap alignment.
  • Drive Customer Outcomes & Long-Term Success: 
    • Own the success of multi-phase AI transformation programs. 
    • Post-go live, act as the customer's primary AI Agent program lead - running QBRs, tracking KPIs, and driving continuous value. 
  • Establish Scalable Processes & Governance: 
    • Create and refine playbooks, delivery templates, evaluation frameworks, UAT processes, hypercare models, and best practices
    • Ensure compliance with testing, evaluation frameworks, UAT processes, and deployment checklists.
    • Manage timelines, deliverables, documentation, and cross-functional dependencies for multiple concurrent customer programs.
  • Customer Enablement & Training: 
    • Guide customers through operational readiness, change management, and best practices for scaling AI within their contact centers.
  • Be the Face of AI Strategy for Enterprise Customers: 
    • Present confidently to frontline leaders, IT executives, and C-suite stakeholders.
    • Translate complex AI/technical concepts into business outcomes and guide customers through AI maturity and transformation journeys.

What You'll Bring To The Role

  • 5+ years in enterprise customer delivery, professional services, program management, or consulting (SaaS, AI, CX, digital transformation, or contact center domains preferred)
  • Proven success leading complex enterprise implementations with cross-functional and executive stakeholders.
  • Strong understanding of contact center KPIs like containment, AHT, CSAT, NPS, and how they influence AI Agent projects.
  • Comfort leading customer-facing discussions - from deep technical troubleshooting to weekly project demos.
  • Demonstrated ability to manage multiple projects simultaneously in fast-paced, evolving environments.
  • Excellent communication, training, documentation, and relationship-building skills.
  • Bonus points for:
    • Experience with Conversational AI, VoiceAI, RAG systems, or NLU/NLP platforms.
    • Hands-on experience to CCaaS platforms (Genesys, NICE, Amazon Connect, Five9, Talkdesk, Zoom Contact Center).

Why You'll Love It Here

  • Competitive compensation including equity: Market-aligned base pay, performance incentives, and meaningful equity ownership
  • Excellent medical, dental, and vision insurance options: Comprehensive medical, dental and vision benefits for employees and eligible dependents
  • Flexible Paid Time Off: Our unlimited, flexible PTO policy empowers you to take the time you need to recharge, maintain balance, and perform at your best.
  • Additional Time to Recharge: 10 company holidays, an annual company-wide Winter Break, and paid parental leave to fully support life outside of work.
  • 401(k) plan: Long-term financial planning support with tax-advantaged retirement savings
  • Quarterly Lifestyle Spending Account: Flexible quarterly stipend to support wellness, learning and professional development, and personal growth
  • Monthly Mobile + Internet Stipend: Support for remote and hybrid work connectivity needs
  • Pre-tax Commuter Benefits: Tax-efficient transit and commuting support for hybrid and in-office employees
  • Autonomy and Agency: Play a meaningful role in scaling a category-defining GenAI platform transforming the future of customer experience.

Salary Range

The base salary compensation range targeted for this full-time position is $133,000-$149,000 Range per annum. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices.

Our Commitment to Inclusion and Belonging

Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.

We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.

If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai

#LI- Hybrid