Conversion Rate Optimization Salary Jobs in Usa

Advertising & Optimization Manager

Location: Minneapolis, MN

Reports to: Director of Ecommerce

Role Overview

The Advertising & Optimization Manager is responsible for driving profitable growth through on-site and off-site digital advertising across PSi’s ecommerce ecosystem. This role owns strategy, execution, optimization, and performance analysis of paid media investments across platforms including Amazon, Target, Walmart, and emerging channels.

In addition to campaign execution, this role plays a critical insights and storytelling function, translating performance data into clear, actionable recommendations for internal teams and PSi’s brand partners.

Key Responsibilities

On-Site Advertising & PPC

• Own on-site advertising strategy across Amazon, Target, Walmart, and other retail media networks
• Manage budgets, bids, and campaign structures to maximize ROAS, efficiency, and profitability
• Optimize campaigns across sponsored products, brands, display, and emerging ad formats
• Partner with brand partners and internal PSi stakeholders to align advertising with launches, inventory, pricing, and promotional plans

Off-Site Advertising & Demand Generation

• Develop and execute off-site advertising strategies to drive awareness, traffic, and engagement
• Manage influencer, paid social, digital media, and performance-based campaigns
• Evaluate channel mix, audience targeting, and attribution to drive incremental growth

Marketing Analytics & Performance Insights

• Leverage marketing analytics to evaluate campaign effectiveness across channels and the full funnel
• Analyze KPIs including ROAS, TACoS, conversion rate, CPC, impression share, and incremental lift
• Identify trends, opportunities, and risks across brands, categories, and platforms
• Use data to inform optimization strategies, budget allocation, and growth recommendations

Brand Partner Recaps & Reporting

• Develop clear, concise campaign recaps for brand partners on a recurring basis
• Translate complex performance data into actionable insights and strategic recommendations
• Support brand-facing conversations with performance reviews, testing results, and forward-looking plans
• Partner with internal teams to ensure alignment between advertising strategy and brand objectives

Tools, Testing & Optimization

• Leverage best-in-class ecommerce and advertising tools to drive insights-based decision-making
• Conduct ongoing testing across keywords, creatives, audiences, and media formats
• Stay current on platform updates, new ad products, and emerging best practices

Required Skills & Experience

• 4–7+ years of experience in ecommerce advertising, digital marketing, or performance marketing
• Deep hands-on experience with PPC and retail media networks
• Strong marketing analytics and data interpretation skills
• Experience presenting performance insights to internal stakeholders and external partners
• Ability to balance growth objectives with margin and profitability goals

Preferred Platforms & Tools

Experience with some or all of the following:

• Retail Media & PPC: Amazon Ads, Amazon DSP, Amazon AMC, Walmart Connect, Target Roundel, TikTok, Youtube, Instagram, Facebook
• Analytics & Insight Tools: Pacvue (or other ad software), Citrus, Criteo, Helium 10, SmartScout, Google Analytics
• Marketing & Performance Analytics: Platform-native reporting, BI tools, and attribution frameworks
• Collaboration & Reporting: Dashboards, performance recaps, and executive-ready summaries

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Team & Mission

The Privacy & Conversion Data team is responsible for how the company safely and compliantly uses conversion data to power monetization. We build and operate the core privacy infrastructure behind ads reporting and optimization, including controlled data environments, finegrained access controls, centralized privacy rules enforcement, and deidentification pipelines for conversion data. Our mission is to make conversion data privacypreserving by default-centralized, deidentified, auditable, and easy for teams to use, while maintaining high utility for advertisers and staying ahead of an evolving global regulatory landscape.

Role Summary

We're seeking a Staff Engineer to lead the architecture and technical direction for the conversion data privacy platform, spanning both core Conversion Data systems and deidentification for ads reporting. You'll own the endtoend design and evolution of privacycritical pipelines and services, partner closely with Product, Data Science, Legal, and infrastructure teams, and set the technical bar for how we use conversion data safely at scale.

What you'll do:

• 
  
• Lead the technical strategy and architecture for conversion data privacy across access controls, deidentification, deletion, and privacy rules enforcement, driving toward a centralized, deidentifiedbydefault, automated privacy platform for monetization.
  
• Design and evolve core privacy infrastructure including controlled environments for sensitive data, finegrained authorization and policy enforcement, and a central policy repository that consistently governs access across major data platforms and query engines.
  
• Own deidentification pipelines for ads reporting endtoend-from separating sensitive and nonsensitive data, applying deidentification techniques and transformations, and generating privacypreserving datasets, to validating data utility and feeding reporting and analytics surfaces.
  
• Build and improve privacy frameworks and tooling (for both online and offline workflows) that make safe, compliant conversion data usage simple and selfservice for downstream teams, reducing onboarding friction for new datasets, restrictions, and use cases.
  
• Drive operational excellence and compliance by defining SLAs, building robust monitoring and alerting (e.g., deidentification quality, optout metrics, data leakages), leading incident response, and developing performant deletion and leakagehandling workflows that meet regulatory and audit requirements.
  
• Partner crossfunctionally with ads, data, product, legal, and infrastructure stakeholders to translate legal/privacy requirements into technical designs, make clear tradeoffs between privacy and utility, and drive alignment on roadmaps, launches, and policy changes that impact advertisers and users.
  
• Mentor and uplevel engineers across multiple teams, lead critical design and code reviews in privacysensitive areas, and establish best practices and documentation for privacybydesign, deidentification, and largescale data systems.
  

What we're looking for:

• 
  
• BS+ in Computer Science (or related field) or equivalent practical experience.
  
• 8+ years of professional software engineering experience, with a focus on largescale data systems or distributed systems.
  
• Strong proficiency building and operating data pipelines and services using Java/Scala/Kotlin or Python, plus SQL; experience with modern big data ecosystems is a plus.
  
• Experience designing secure, reliable systems and APIs, with solid grounding in data modeling, access control, and performance optimization.
  
• Meaningful experience in at least one of: privacypreserving data systems (e.g., deidentification, kanonymity), ads measurement/attribution, or largescale analytics/experimentation platforms.
  
• Proven ability to drive crossteam technical initiatives from design through rollout, working closely with product, data science, and nonengineering partners (e.g., Legal, Compliance).
  
• Strong communication and leadership skills, with a track record of mentoring engineers, raising engineering standards, and making sound decisions in ambiguous, highimpact problem spaces.
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-KK6

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Our financial services client is looking for a Conversation Designer to join their team! This is a 40 hr/week, hybrid role. Candidates can be located in Westwood, MA, Charlotte, NC, Johnston, RI, Iselin NJ, or Plano, TX!

The Conversation Designer will be responsible for creating, refining, and optimizing natural, human like voice interactions within our AWS Connect IVR system. This role will focus on designing intuitive conversational flows that enhance the customer experience and improve the effectiveness of our Voice Bot.

Key Responsibilities:

- Design conversational workflows and dialogue scripts for AWS Connect based IVR experiences.

- Develop voice interaction models that align with business goals, customer needs, and best in class conversational design principles.

- Collaborate closely with product, engineering, and operations teams to ensure smooth implementation of designed experiences.

- Analyze call data and customer feedback to identify opportunities for improving system understanding, response accuracy, and conversational fluidity.

- Create guidelines, prompts, and tone of voice standards to ensure consistency across all customer interactions.

- Conduct usability testing, tune bot responses, and iterate designs based on real world performance.

- Ensure all conversation designs adhere to compliance, privacy, and accessibility standards.

Required Skills & Qualifications:

- Experience designing conversational experiences for IVR, voice bots, or virtual assistants.

- Hands on experience with AWS Connect, Contact Flow design, and related AWS services.

- Strong understanding of natural language patterns, conversational UX, and voice interaction best practices.

- Ability to translate complex business processes into clear, simple, intuitive customer dialogues.

- Excellent written communication, analytical thinking, and problem solving skills.

- Experience collaborating with cross functional teams in a fast paced environment.

Preferred Qualifications:

- Experience with Amazon Lex, Bedrock, Nova Sonic, or other conversational AI frameworks

- Experience implementing voice biometrics, fraud detection, or advanced authentication

- Knowledge of call analytics, voice transcription, and conversation intelligence platforms

- Experience in financial services or regulated environments

• - Strong background in customer journey design and service design

Senior Manager, Journey Optimization

Mason, OH, United States

Full time Schedule

$76,200 - $127,000 Annually*

* based on job, location, and schedule

Be part of an amazing story.

Macy’s is more than just a store. We’re a story. One that’s captured the hearts and minds of America for more than 160 years. A story about innovations and traditions…about inspiring stores and irresistible products…about the excitement of the Macy’s 4th of July Fireworks, and the wonder of the Thanksgiving Day Parade. We’ve been part of memorable moments and milestones for countless customers and colleagues. Those stories are part of what makes this such a special place to work.

Job Overview

The Senior Manager, Journey Optimization Analytics delivers analytical insights into emerging customer experience trends, process improvements, and contact center optimization opportunities. The role leads operational analytics, customer experience analytics, and exploratory optimization initiatives to drive measurable impact. The Senior Manager supports enterprise-wide strategic initiatives and collaborates cross-functionally to achieve business objectives.

The Senior Manager, Journey Optimization Analytics brings advanced analytics expertise, ideally within a retail or financial services contact center environment. The role demonstrates a proven track record of developing and implementing strategies that drive financial value, improve customer experience, or both.

What You Will Do

• Apply advanced analytical techniques—including exploratory, diagnostic, and predictive methods—to identify the key drivers of customer behavior and operational performance.
• Translate complex data into clear, compelling insight narratives that influence decision-making across the organization.
• Lead multiple concurrent analytical workstreams, delivering high-impact insights on time in a fast-paced environment.
• Build and maintain strong relationships with internal stakeholders, external partners, and vendors to support the execution of MCCS strategies and initiatives.
• Leverage technology and analytics tools to streamline processes, improve operational efficiency, and enhance the quality and speed of insight delivery.
• Identify and champion improvements to analytical processes, tools, and data infrastructure to increase team effectiveness and business impact.
• Foster an environment of acceptance and respect that strengthens relationships, and ensures authentic connections with colleagues, customers, and communities.
• In addition to the essential duties mentioned above, other duties may be assigned.

Skills You Will Need

Advanced Analytics & Modeling: Demonstrated expertise in exploratory, diagnostic, and predictive analytics to identify drivers of customer behavior and operational performance, with the ability to translate complex analyses into measurable business impact.

End-to-End Data Management: Strong capability to source, prepare, and transform raw data; design efficient data schemas; and develop robust analytical workflows that move seamlessly from data extraction to executive-ready insights.

Strategic Thinking & Business Acumen: Proven ability to align analytical insights to enterprise strategy, identify financial and customer experience opportunities, and develop data-driven recommendations that advance organizational objectives.

Customer Experience & Contact Center Optimization: Deep understanding of customer behavior and contact center operations, with the ability to uncover trends, improve processes, and drive optimization initiatives that enhance service delivery and financial outcomes.

Insight Communication & Executive Storytelling: Exceptional ability to translate complex data into clear, concise, and compelling narratives that influence stakeholders and senior leaders across the organization.

Cross-Functional Collaboration & Influence: Demonstrated success partnering with cross-functional teams, external partners, and vendors; building strong relationships; and influencing decision-making without direct authority.

Workflow Prioritization & Delivery Management: Strong ability to manage multiple concurrent analytical workstreams, prioritize effectively in a fast-paced environment, and deliver high-quality insights with speed, accuracy, and urgency.

Technical Proficiency: Advanced SQL skills required, with preferred proficiency in R or Python; strong familiarity with analytics tools and technologies that support scalable data analysis and operational efficiency.

Who You Are

• Candidates with a bachelor’s degree or equivalent work experience in a related field are encouraged to apply. 3-plus years of relevant experience required.
• Advanced SQL skills with preferred proficiency in R or Python; strong familiarity with analytics tools and technologies that support scalable data analysis and operational efficiency.
• Regularly required to sit, talk, hear; use hands/fingers to touch, handle, and feel. Occasionally required to move about the workplace and reach with hands and arms. Requires close vision.
• Able to work a flexible schedule based on department and company needs.

What We Can Offer You

Join a team where work is as rewarding as it is fun! We offer a dynamic, inclusive environment with competitive pay and benefits. Enjoy comprehensive health and wellness coverage and a 401(k) match to invest in your future. Prioritize your well-being with paid time off and eight paid holidays. Grow your career with continuous learning and leadership development. Plus, build community by joining one of our Colleague Resource Groups and make a difference through our volunteer opportunities.

Some additional benefits we offer include:

• Merchandise discounts
• Performance-based incentives
• Annual merit review
• Employee Assistance Program with mental health counseling and legal/financial advice
• Tuition reimbursement

Access the full menu of benefits offerings here.

About Us

This is a great time to join Macy’s! Whether you’re helping a customer find the perfect gift, streamlining operations in one of our distribution centers, enhancing our online shopping experience, buying in-style and on-trend merchandise to outfit our customers, or designing a balloon for the Thanksgiving Day Parade, we offer unique opportunities to be part of some of the most memorable moments in people’s lives.

Join us and help write the next chapter in our story - apply today!

This job description is not all-inclusive. Macy's, Inc. reserves the right to amend this job description at any time. Macy's, Inc. is an Equal Opportunity Employer, committed to a diverse and inclusive work environment.

Diamonds International is seeking a Senior Data Analyst who Specializes in ETL (Extract, Transform, Load) processes, moving data from flat files or legacy staging tables into Oracle staging tables for validation.

Based in our Manhattan, New York Headquarters, this role reports directly to the Chief Merchandising Officer.

This executive role is responsible for assortment strategy, inventory performance, and

merchandise organization across a multi-location luxury retail business.

The ideal candidate is a highly detail-oriented merchandising leader who brings strong analytical discipline, structure, and operational rigor.

Core Responsibilities

Brand Leadership

 Own merchandising strategy and assortment architecture for the assigned brand

 Develop seasonal buy plans and manage SKU depth and productivity

 Drive sell-through, inventory turns, and margin performance

 Partner with retail leadership to optimize product performance

Merchandise Structure & Data Integrity

 Reorganize and standardize merchandise into clean, scalable data sets

 Establish clear SKU hierarchy and product categorization standards

 Strengthen reporting visibility and inventory analytics

 Ensure disciplined merchandise data governance

Systems Collaboration

 Partner with internal teams during ongoing ERP enhancements

 Support merchandise data accuracy within Oracle and related systems

 Contribute to data validation and system alignment as needed

Qualifications

 8–15 years of senior merchandising experience, preferably in luxury retail

 Experience owning a brand or major category in a multi-location environment

 Strong analytical and financial acumen

 Advanced Excel and reporting capability

 Experience working within Oracle or comparable ERP systems required!

Experience with converting data is required

Ideal Candidate

 Luxury jewelry, fashion or timepiece experience preferred!

 Exceptionally detail-oriented and organized

 Able to bring structure and process to complex merchandise environments

 Comfortable operating at both strategic and execution levels

 Strong leadership presence

About the Company

We’re partnering with a fast-growing, well-funded startup building an AI-driven decision engine for large-scale marketing optimization. This team is applying quantitative, trading-style strategies to improve how millions of dollars are allocated across digital channels—already delivering significant efficiency gains for major global brands.

About the Role

This is a high-impact ML engineering role focused on building the core models and systems that drive automated decision-making. You won’t just train models—you’ll design the financial logic and execution systems that determine how real capital is deployed in dynamic markets. From identifying inefficiencies to executing decisions in production, you’ll own the full lifecycle.

Responsibilities

• Design Core Algorithms: Build models to predict value (e.g., LTV), optimize budget allocation, and detect performance degradation signals
• Build Execution Systems: Develop robust API integrations to deploy decisions in real time across major platforms
• Own Production ML: Take models from prototype → production with strong monitoring, latency control, and drift detection
• Backtest & Validate: Create simulation frameworks to test strategies before real-world deployment

Qualifications

• 4+ years applying ML/optimization in real-world systems
• Strong foundation in statistics, probability, and linear algebra
• Experience deploying models in high-throughput production environments
• Comfortable balancing speed vs. rigor—shipping quickly, then scaling thoughtfully
• Thinks in systems, not scripts

Required Skills

• Background in quantitative finance, trading systems, or ad-tech (RTB)
• Experience with convex optimization or advanced optimization techniques
• Familiarity with AI-assisted development workflows

Preferred Skills

• Bonus: Background in quantitative finance, trading systems, or ad-tech (RTB)
• Bonus: Experience with convex optimization or advanced optimization techniques
• Bonus: Familiarity with AI-assisted development workflows

Pay range and compensation package

• $160,000 – $250,000 base salary
• Meaningful equity
• Full health benefits + unlimited PTO
• Relocation support (Bay Area)
• Daily meals provided

TITLE: Director, Inventory Strategy & Optimization

DIVISION/DEPARTMENT: Purchasing

REPORTS TO: VP of Supply Chain Planning

FLSA CLASSIFICATION: Full-Time, Exempt

Gold Star Foods is the leading food distributor to K-12 schools in the United States. We are a company devoted to providing our customers with incredible customer service. We know that it is our teammates who make the difference! Join our team and find out what it is like to work somewhere where you enjoy getting up for work every day!

POSITION OVERVIEW:

GS Foods Group is seeking a Director, Inventory Strategy & Optimization to lead enterprise inventory strategy, replenishment analytics, and decision support across inventory, sourcing, and buying. This role serves as the single point of accountability for inventory economics across the enterprise—translating service objectives and growth ambitions into clear inventory targets, policies, and trade-offs.

This leader is responsible for defining inventory policies, targets, and analytical insights that improve inventory health, GMROI, service levels, and working capital performance. The Director partners closely with S&OP, Procurement, Finance, and IT to ensure inventory and replenishment decisions are grounded in rigorous analysis and consistently applied across the business.

This role plays a critical part in driving adoption of inventory policies, improving inventory productivity, and strengthening enterprise-wide discipline around replenishment and inventory decision-making.

PRINCIPLE RESPONSIBILITIES:

• Set and lead the enterprise inventory strategy and replenishment analytics agenda.
• Build, develop, and lead a high-performing optimization team through coaching, capability development, and clear performance expectations.
• Define and maintain inventory policies, including segmentation, service levels, safety stock strategies, and DIOH targets.
• Deliver decision-ready insights on inventory health, GMROI, cost structures, and service trade-offs.
• Shape sourcing and assortment decisions through inventory and margin economics.
• Prioritize inventory optimization and analytics use cases based on enterprise value and business impact.
• Ensure consistency of analytical assumptions and alignment with Finance.
• Drive adoption and trust in inventory policies, tools, and replenishment targets across the organization.
• Own inventory and replenishment system policies and parameters (e.g., segmentation, service levels, DIOH targets, buying parameters) across the business.
• Drive adoption, automation, and continuous improvement of system-generated replenishment targets (e.g., SOQs).
• Performs other duties as assigned.

REQUIRED SKILLS:

• Deep expertise in inventory economics, GMROI, service-level trade-offs, and working capital management.
• Strong analytical capability with the ability to translate complex analysis into executive-level insights and recommendations.
• Strategic mindset with strong operational and financial acumen.
• Proven ability to lead cross-functional initiatives and influence decision-making across Commercial, Operations, Procurement, Finance, and IT.
• Strong leadership skills with experience building and developing high-performing analytics or optimization teams.
• Ability to drive adoption of analytical tools, policies, and system-generated recommendations.
• Experience prioritizing initiatives based on business value and measurable impact.

EDUCATION/EXPERIENCE:

• 5+ years of experience in inventory management, replenishment, supply chain analytics, procurement analytics, or related disciplines.
• Bachelor’s degree required; advanced degree preferred.

OTHER DUTIES:

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

WORKING CONDITIONS AND PHYSICAL DEMANDS:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential duties of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Individuals may need to sit or stand as needed. May require walking primarily on a level surface for periods throughout the day. Reaching above shoulder heights, below the waist, or lifting as required to file documents or store materials throughout the workday. Proper lifting techniques are required. May include lifting to 25 pounds on occasion.

EOE M/W/Vet/Disabled:

The above duties and responsibilities are essential job functions subject to reasonable accommodation. All job requirements listed indicate the minimum level of knowledge, skills and/or ability deemed necessary to perform the job proficiently. This job description is not to be construed as an exhaustive statement of duties, responsibilities or requirements as the employee may be required to perform any other duties as assigned. In the event of an absence where the teammate cannot perform these duties, the Manager will determine who shall perform these duties.

Affirmative Action Statement:

Applicants must be currently authorized to work in the United States. We are proud to be an Equal Opportunity and Affirmative Action employer, and consider qualified applicants without regard to race, color, creed, religion, ancestry, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, or any other protected factor under federal, state, or local law.

Include shift schedule

• Process Development & Optimization: Design and refine manufacturing processes to maximize uptime, minimize waste, and meet customer specifications while considering material properties, equipment capabilities, and operator workflows
• Continuous Improvement: Lead Lean and Six Sigma initiatives to drive efficiency and enhance product quality; propose and execute projects using PDCA methodology with clear ROI justification
• Troubleshooting & Problem Solving: Conduct root cause analysis using tools such as Ishikawa diagrams, 5 Whys, and Pareto Analysis; develop corrective actions including A3, 8D, and Supplier Corrective Action Reports (SCAR)
• Data Analysis & Reporting: Analyze process data to identify trends and improvement opportunities; establish data collection methods, train operators, and deliver KPI reports (daily, weekly, monthly, quarterly) to support strategic decisions
  
  

• Bachelor's degree in Mechanical, Industrial, Manufacturing Engineering, or related field
• 5+ years of experience in process engineering, manufacturing optimization, or continuous improvement roles
• Strong knowledge of Lean Manufacturing and Six Sigma methodologies
• Automotive industry experience preferred
• Familiarity with Core Tools (APQP, PPAP, FMEA, SPC, MSA) is a plus