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Vision Associate Jobs in Anna, TX (NOW HIRING)

Optician Level 1

Plano, TX · On-site

$16 - $24/hr

Mid-Shift, Closing Location Walmart Supercenter #1117 6001 N CENTRAL EXPY, PLANO, TX, 75023, US Job Overview Vision associates focus on supporting customers in the eye care center. They assist with ...

Company Description America's Best is part of National Vision, one of the largest optical retailers ... Motivate associates to exceed performance standards. Qualifications Are you the right fit? - The ...

Company Description America's Best is part of National Vision, one of the largest optical retailers ... Motivate associates to exceed performance standards. Qualifications Are you the right fit? - The ...

Health benefits: medical, dental, vision * 401k * Tuition assistance * Associate discounts and perks * Paid time off for fulltime associates * Career pathing * Development opportunities JOB SUMMARY ...

Health benefits: medical, dental, vision * 401k * Tuition assistance * Associate discounts and perks * Paid time off for fulltime associates * Career pathing * Development opportunities JOB SUMMARY ...

Health benefits: medical, dental, vision * 401k * Tuition assistance * Associate discounts and perks * Paid time off for fulltime associates * Career pathing * Development opportunities JOB SUMMARY ...

Health benefits: medical, dental, vision * 401k * Tuition assistance * Associate discounts and perks * Paid time off for fulltime associates * Career pathing * Development opportunities JOB SUMMARY ...

Showing results 21-40

Vision Associate information

See Anna, TX salary details

$10

$18

$31

How much do vision associate jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for vision associate in Anna, TX is $18.64, according to ZipRecruiter salary data. Most workers in this role earn between $13.99 and $19.38 per hour, depending on experience, location, and employer.

What is the difference between Vision Associate vs Optician?

AspectVision AssociateOptician
CredentialsHigh school diploma or equivalent; some roles may require certificationHigh school diploma; certification or license often required
Work EnvironmentOptical retail stores, healthcare clinics, eyewear departmentsOptical stores, eyewear labs, healthcare settings
Job ResponsibilitiesAssisting customers, basic frame fitting, lens selection, customer serviceMeasuring, fitting, adjusting eyewear, assisting with lens selection, customer education

The main difference between a Vision Associate and an Optician lies in their responsibilities and required credentials. Vision Associates typically focus on customer service and basic assistance, while Opticians have more technical duties like fitting and adjusting eyewear, often requiring certification. Both roles are essential in optical retail and healthcare environments, but Opticians usually have more specialized training and responsibilities.

Is a vision associate a good career?

A vision associate is a healthcare support role that involves assisting with eye exams, patient care, and optical services. It can be a good entry-level position for those interested in the eye care industry and may lead to further certifications or advanced roles in optometry or ophthalmology.

What are popular job titles related to Vision Associate jobs in Anna, TX?

For Vision Associate jobs in Anna, TX, the most frequently searched job titles are:

What job categories do people searching Vision Associate jobs in Anna, TX look for?

The top searched job categories for Vision Associate jobs in Anna, TX are:

Infographic showing various Vision Associate job openings in Anna, TX as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, and 6% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $38,777 per year, or $18.6 per hour.

Digital Product Sr Manager Intelligent Vision

PepsiCo

Plano, TX • On-site

$140K - $210K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


PepsiCo rating

7.5

Company rating: 7.5 out of 10

Based on 899 frontline employees who took The Breakroom Quiz

153rd of 442 rated food and drinks producers


Job description

Overview
We are seeking a Digital Product Sr Manager Intelligent Vision to define, build, and scale PepsiCo's Vision based digital products as a global capability supporting intelligent automation, quality assurance, safety, asset monitoring, and operational excellence across manufacturing plants, warehouses, and distribution centers.
This role will own the product vision, roadmap, and feature backlog for Intelligent Vision, enabling enterprise-scale computer vision and artificial intelligence capabilities that transform visual information into actionable business intelligence. The Vision based digital product/s provide standardized AI-powered inspection, quality monitoring, safety analytics, inventory visibility, asset recognition, process compliance, and intelligent event detection capabilities that enhance operational performance while reducing manual effort.
The Product Owner will work closely with Quality, Manufacturing, Supply Chain, Engineering, Data Science, AI Engineering, solution architects, software development teams, and strategic technology partners to deliver scalable computer vision products that accelerate AI adoption across PepsiCo's global manufacturing and logistics network
Responsibilities
Intelligent Vision Product Strategy
  • Own the vision, strategy, and multi-year roadmap for PepsiCo's Intelligent Vision products supporting manufacturing, warehousing, quality, safety, and logistics operations.
  • Define scalable computer vision capabilities that can be deployed consistently across PepsiCo's global manufacturing and distribution network.
  • Identify high-value AI vision use cases and prioritize investments based on business value, operational impact, and scalability.
  • Partner with Quality, Manufacturing, Supply Chain, Safety, and Digital organizations to develop enterprise vision capabilities.
  • Establish measurable product outcomes tied to quality improvement, safety performance, labor efficiency, and operational excellence.

Intelligent Vision Products & Capabilities
  • Own the roadmap for AI-enabled visual inspection, quality monitoring, safety analytics, asset recognition, inventory visibility, process compliance, and intelligent event detection.
  • Define reusable AI models, vision pipelines, synthetic data strategies, and computer vision frameworks that accelerate deployment globally.
  • Drive standardization of edge AI, camera infrastructure, inference pipelines, and model lifecycle management.
  • Enable integration of computer vision outputs into Operational Twins, Engineering Twins, enterprise analytics platforms, and AI services.
  • Establish governance processes ensuring model accuracy, explainability, scalability, and continuous learning.

Product Ownership & Agile Delivery
  • Own the Intelligent Vision product backlog, roadmap, release planning, and feature prioritization.
  • Translate customer requirements into user stories, acceptance criteria, and product releases.
  • Partner with AI engineers, data scientists, software developers, UX teams, and infrastructure teams throughout Agile delivery.
  • Balance innovation with reliability, scalability, cybersecurity, and operational readiness.
  • Ensure continuous improvement of Vision products through customer feedback and AI model performance monitoring.

Platform Integration & Cross-Functional Collaboration
  • Ensure Intelligent Vision products integrate seamlessly with the Digital Twin Platform and complementary products including Spatial, Engineering, and Operational Twins.
  • Collaborate with Platform Engineering, AI Centers of Excellence, Data Engineering, Manufacturing Engineering, and Warehouse Operations teams.
  • Partner with external AI vendors, camera providers, robotics companies, and system integrators to align product roadmaps.
  • Promote reusable data products, AI services, APIs, and platform capabilities that enable enterprise-wide adoption.

User Experience & Business Value
  • Define user personas for quality inspectors, plant operators, warehouse associates, safety managers, manufacturing engineers, and operations leaders.
  • Establish KPIs measuring inspection accuracy, defect detection, safety improvements, automation rates, model performance, and business value.
  • Conduct product demonstrations, user testing sessions, and stakeholder workshops to continuously refine the product experience.
  • Drive global adoption through standardized deployment playbooks, training, documentation, and change management.

Compensation & Benefits:
  • The expected compensation range for this position is between $140,100 - $210,000.
  • Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process.
  • Bonus based on performance and eligibility target payout is 15% of annual salary paid out annually.
  • Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
  • In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.

Qualifications
Education
  • Bachelor's degree required in Computer Science, Artificial Intelligence, Electrical Engineering, Robotics, Data Science, Industrial Engineering, or related field.
  • Master's degree preferred in Artificial Intelligence, Machine Learning, Computer Vision, Engineering, or Business Administration.
Experience
  • 10+ years of experience in Product Management, Artificial Intelligence, Computer Vision, Manufacturing Technology, or Digital Transformation.
  • Proven experience managing AI-enabled enterprise software products from strategy through deployment.
  • Experience delivering Computer Vision or Machine Learning solutions within manufacturing, logistics, or industrial environments.
  • Experience working with Agile software development teams and AI engineering organizations.
  • Experience balancing innovation with enterprise scalability, governance, and operational deployment.
Technical Expertise
  • Strong understanding of Computer Vision, Machine Learning, Deep Learning, and AI model lifecycle management.
  • Experience with industrial camera systems, edge computing, AI inference platforms, and intelligent automation.
  • Familiarity with synthetic data generation, MLOps, model governance, and AI deployment at scale.
  • Understanding of Digital Twin platforms, cloud-native architectures, APIs, and enterprise integration.
  • Knowledge of manufacturing quality systems, warehouse operations, robotics, automation, and industrial AI applications.
Leadership
  • Strong product management and strategic planning capabilities.
  • Excellent communication skills with the ability to influence senior technology and business leaders.
  • Proven ability to lead highly technical cross-functional teams.
  • Strong customer-centric mindset focused on delivering measurable business outcomes.
  • Demonstrated success driving enterprise AI adoption within global organizations.

Success Metrics
  • Intelligent Vision capabilities deployed successfully across prioritized manufacturing plants and warehouse operations globally.
  • Increased automation of quality inspection, safety monitoring, inventory recognition, and operational analytics through reusable AI products.
  • Significant improvements in defect detection, inspection accuracy, safety compliance, and operational efficiency.
  • Standardized enterprise Computer Vision capabilities supporting multiple business functions through reusable AI services.
  • High AI model accuracy, scalability, reliability, and operational adoption across global deployments.
  • Product roadmap delivered on schedule with measurable customer adoption and business value realization.
  • Strong collaboration across AI, Platform, Manufacturing, and Operations teams resulting in scalable enterprise Intelligent Vision capabilities.

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Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance.
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity / Age
If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy.
Please view our Pay Transparency Statement.

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About PepsiCo

Sourced by ZipRecruiter

PepsiCo products are enjoyed by consumers more than one billion times a day in more than 200 countries and territories around the world. PepsiCo generated $86 billion in net revenue in 2022, driven by a complementary beverage and convenient foods portfolio that includes Lay's, Doritos, Cheetos, Gatorade, Pepsi-Cola, Mountain Dew, Quaker, and SodaStream. PepsiCo's product portfolio includes a wide range of enjoyable foods and beverages, including many iconic brands that generate more than $1 billion each in estimated annual retail sales.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Purchase, NY, US

Year founded

1965