Profound, AI Jobs in Usa

About TYR Sport

TYR Sport is one of the most recognized and respected performance athletic brands in the world. Named for the Norse god of valor and sacrifice, TYR was founded on the belief that the pursuit of excellence demands the finest tools. Today, TYR is the second-largest performance swimwear brand in North America, with products distributed in more than 30 countries and annual revenue exceeding $100 million. The brand’s portfolio spans competitive swimwear, triathlon gear, training apparel, footwear, and equipment — all engineered for athletes who train with intent and compete with purpose.

TYR’s digital infrastructure is anchored by a Shopify Plus ecommerce platform supported by an expanding suite of technology integrations, including product information management tools and digital marketing platforms. As TYR accelerates its global digital business, the company is making a major investment in artificial intelligence to build a next-generation customer experience that unifies ecommerce, marketing, and sales into a single intelligent ecosystem.

The Opportunity

This is TYR’s most senior AI role. The Director of Artificial Intelligence will lead the company’s AI strategy, own the technical roadmap, and be accountable for AI’s impact on revenue, growth, and competitive advantage.

Reporting directly to the Chief Operating Officer or Chief Executive Officer, this leader will build TYR’s AI function from the ground up, initially as a hands-on individual contributor. The Director will define the strategy, infrastructure, and operating framework that will shape the company’s technological future. As the function matures, there will be an opportunity to build and lead a dedicated AI team.

The Director will operate as a peer to other functional leaders, with the authority to drive AI adoption across the organization, including ecommerce, marketing, sales, supply chain, and operations.

The primary commercial focus of this role is TYR’s digital business. Ecommerce and marketing are the highest-priority domains, and the Director will be expected to deliver measurable results in these areas first. This leader will transform TYR’s digital storefront into a personalized, AI-driven shopping experience and help evolve marketing into a precision, data-driven growth engine.

The ideal candidate is a seasoned AI practitioner who can operate strategically while remaining deeply hands-on — someone who has built and deployed high-impact AI products in ecommerce, retail, or consumer environments and can confidently influence senior leadership.

Core Responsibilities

Enterprise AI Leadership

Serve as the single point of leadership for artificial intelligence across TYR. Define the company’s AI vision, establish strategic priorities, and oversee architectural and investment decisions. Develop and maintain a multi-year AI roadmap aligned with TYR’s growth strategy, and communicate progress and outcomes to executive leadership.

Establish the processes, governance frameworks, and technical foundations necessary to scale AI innovation across the organization.

Ecommerce Intelligence and Personalization

Lead the transformation of TYR’s digital storefront into a personalized and intelligent shopping experience.

Develop and deploy recommendation engines that surface the right products to the right customers across the digital journey, including homepage, product pages, cart, and post-purchase interactions. Build AI-driven search and product discovery tools that improve findability and reduce friction in the purchasing process.

Design dynamic pricing and promotion models that optimize both margin and conversion, leveraging behavioral signals, purchase history, and inventory data.

Develop a unified customer intelligence platform that enables TYR to understand, predict, and influence customer behavior across the full lifecycle. These capabilities should drive improvements in conversion rates, average order value, customer retention, and lifetime value.

Marketing Intelligence and Growth Automation

Partner closely with TYR’s marketing leadership to elevate the effectiveness and precision of marketing efforts through AI.

Develop advanced customer segmentation models that move beyond demographic targeting to incorporate behavioral and predictive signals. These models will power more intelligent audience strategies across paid media, email, SMS, and social channels.

Implement generative AI solutions that support dynamic content creation, including personalized ad copy, email messaging, and product descriptions. Establish automated testing and optimization frameworks to continuously improve campaign performance.

Develop marketing mix and attribution models that enable real-time optimization of spend and improved return on ad investment. Build predictive models that support customer acquisition, retention, and churn prevention.

Sales Enablement and B2B Intelligence

Support TYR’s wholesale and B2B channels by developing AI-driven sales enablement tools. This includes predictive lead scoring, account health insights, and deal intelligence systems that help sales teams prioritize opportunities and strengthen relationships with key retail partners.

Technical Execution and Partnerships

Initially operate as a hands-on technical leader responsible for building and deploying AI solutions across TYR’s priority initiatives. Lead the full model lifecycle, including data ingestion, feature engineering, model development, deployment, and monitoring.

Act as TYR’s primary liaison with AI technology vendors and platform partners to ensure the company leverages best-in-class tools and infrastructure. As the AI roadmap expands, the Director will help define and grow the supporting team.

Responsible AI and Data Governance

Establish and maintain TYR’s framework for responsible AI and data governance. Ensure that models and data systems adhere to principles of fairness, transparency, and privacy while complying with relevant regulations including GDPR and CCPA. Monitor production systems to mitigate bias, protect data security, and maintain high standards for model performance and accountability.

Qualifications and Experience

• 10+ years of experience in data science, machine learning, or a related field with a strong record as a hands-on practitioner
• Proven experience deploying AI solutions in ecommerce, retail, or direct-to-consumer environments with measurable business impact
• Ability to operate at an executive level and communicate complex technical concepts clearly to senior leadership
• Strong understanding of ecommerce or consumer business models and the ability to connect AI initiatives directly to business outcomes
• Deep technical expertise in machine learning, data science, and AI systems architecture
• Demonstrated ability to influence cross-functional stakeholders and drive adoption of AI across an organization
• Experience leading or building technical teams is a plus
• Master’s or Ph.D. in Computer Science, Statistics, Engineering, or a related quantitative field preferred; MBA a plus

ABOUT THE ROLE:

Skechers is enabling our business with AI through the development and adoption of private, proprietary AI technologies. The Senior Technical Solutions Analyst - GenAI is a key role within the Software Engineering and Architecture organization and will be central to continually developing and improving our Generative AI platform and technologies within Skechers.

The Senior Technical Solutions Analyst - GenAI will be at the helm of managing Skechers’ private GenAI platform, SkechAI, which features two privately instanced Generative AI models, Claude & Stable Diffusion, along with several business-focused GenAI use cases. This pivotal role involves steering the platform to maximize its value to Skechers by overseeing the entire lifecycle of GenAI use case development from ideation to delivery and beyond. The GenAI Technical Analyst & Functional Lead will be the visionary force, identifying and prioritizing GenAI use cases and product enhancements, ensuring strategic alignment and effective deployment of resources. They will be the lead-from-the-front technology and Agile delivery experts deeply dedicated to their projects

This role will collaborate and work within high-velocity software engineering teams, bringing expertise in Agile software delivery. The candidate should be an experienced and motivated technologist who possesses a unique balance of technical depth and strong interpersonal skills. Should have excellent design, lead skills showing commitment, end to end vision, planning, integrity, and pragmatic approach to drive the organization towards continual success.

WHAT YOU'LL DO:

• Lead business user workshops to identify, collect user feedback and potential GenAI use cases.
• Lead collection and prioritization of GenAI use cases, product enhancements, ensuring alignment with Skechers’ strategic goals.
• Serve as the primary liaison between business units, enabling functions, the AI Innovation Council, and the product team to foster collaboration and ensure the platform’s success.
• Advise the software engineering team on the development of use cases and product features based on a comprehensive understanding of Skechers' business needs.
• Stay abreast of leading practices in GenAI product development and integrate these into Skechers’ strategy to remain competitive and innovative.
• Ensure compliance with GDPR, the EU AI Act, and other relevant data privacy and security regulations by working closely with legal and compliance teams.
• Establish and monitor OKRs and KPIs to manage and measure the value of the GenAI platform, adapting strategies as necessary to meet business objectives.
• Represent the Software Engineering & Architecture group in end-to-end solution conversations with customers and stakeholders.
• Demonstrate leadership skills in driving and owning solutions.
• Participate in knowledge sharing and guidance to team members to help grow gen AI skills and capabilities.
• Engage, collaborate, and partner with Skecher’s Digital, Retail, Wholesale, Customer Service, Supply Chain leaders and partners across Business and Technology to drive long and short-term business value through AI solutions.
• Actively contributes to a culture of high performance, innovation, and continuous improvement.
• Build trust and confidence with Gen AI solutions to various business stakeholders assuring expected tech outcomes and desired results.

WHAT YOU'LL DO:

• Lead business user workshops to identify, collect user feedback and potential GenAI use cases.
• Lead collection and prioritization of GenAI use cases, product enhancements, ensuring alignment with Skechers’ strategic goals.
• Serve as the primary liaison between business units, enabling functions, the AI Innovation Council, and the product team to foster collaboration and ensure the platform’s success.
• Advise the software engineering team on the development of use cases and product features based on a comprehensive understanding of Skechers' business needs.
• Stay abreast of leading practices in GenAI product development and integrate these into Skechers’ strategy to remain competitive and innovative.
• Ensure compliance with GDPR, the EU AI Act, and other relevant data privacy and security regulations by working closely with legal and compliance teams.
• Establish and monitor OKRs and KPIs to manage and measure the value of the GenAI platform, adapting strategies as necessary to meet business objectives.
• Represent the Software Engineering & Architecture group in end-to-end solution conversations with customers and stakeholders.
• Demonstrate leadership skills in driving and owning solutions.
• Participate in knowledge sharing and guidance to team members to help grow gen AI skills and capabilities.
• Engage, collaborate, and partner with Skecher’s Digital, Retail, Wholesale, Customer Service, Supply Chain leaders and partners across Business and Technology to drive long and short-term business value through AI solutions.
• Actively contributes to a culture of high performance, innovation, and continuous improvement.
• Build trust and confidence with Gen AI solutions to various business stakeholders assuring expected tech outcomes and desired results.

REQUIREMENTS:

• Bachelor’s or Master’s degree in Computer Science, Business, or a related field.
• 5+ years of experience in product management or business analysis, preferably with experience in Generative AI, Artificial Intelligence, or related products.
• Experience working in a hybrid IT environment that includes a mix of traditional and modern technology stacks.
• Ability to communicate complex topics with precision and clarity.
• Ability to accurately categorize and effectively communicate requirements.
• Experience working directly with business-facing groups outside of development is a plus.
• Experience working within an Agile team is a plus.
• Extensive experience documenting development requirements, process flows, and testing requirements, as well as coordinating code reviews and documentation sign-offs.
• Ability to create strong presentations and roadmaps, and collaborate effectively with senior technology leaders.
• Strong communication skills and ability to work effectively as a team player.

The pay range for this position is $150,000-$185,000/yr USD.

About Skechers

Skechers, a global Fortune 500® company, develops and markets a diverse range of lifestyle and performance footwear, apparel, and accessories. Serving over 180 countries and territories, Skechers connects customers to products through department and specialty stores, e-commerce and digital stores, and through our more than 5,300 Skechers retail locations.

Equal Employment Opportunity

Skechers is committed to providing a safe, inclusive, and respectful work environment. Skechers provides equal employment opportunities for all employees and applicants for employment without regard race, color, religion, gender, gender identification and expression, national origin, marital status, age, disability, genetic information, military status, sexual orientation, or any other protected characteristic established by local, state or federal law.

Reasonable Accommodation

Applicants for employment who require a reasonable accommodation to apply for a job should request appropriate accommodation by emailing

To perform this job successfully, an individual must be able to perform each job responsibility satisfactorily. The skills, abilities and physical demands described are representative of those duties that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities, who are otherwise qualified for the job position, to perform the essential functions.

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.

We're looking for an experienced and thoughtful Lead Ads Policy Manager to join our Content Product policy team. Our policy team keeps Pinterest a safe, positive and welcoming environment for our 450+ million global users by developing industry-leading content policies. You'll develop policies on generative AI, advise on new product risk, autonomously lead complex projects, and set the strategy for the AI policy function. You'll ensure our product policies are enforceable at scale and build a strong relationship with product teams. You'll seek out feedback from internal stakeholders and external experts and collaborate with our Product, Engineering, Legal, Public Policy, and Communications teams. This role will sometimes involve reviewing graphic and disturbing content and discussing difficult subjects.

What you'll do:

• 
  
• Collaborate with your Policy teammates, cross-functional partners, executives and outside experts to craft industry-leading generative AI policies to protect Pinners and keep Pinterest safe and inspiring.
  
• Partner with Trust & Safety, Product, and Engineering teams to embed AI safety best practices in product launches and scale AI policy enforcement globally.
  
• Anticipate opportunities and advise on risks of new generative AI policies to help keep Pinterest ahead of the next challenge
  
• Drive regulatory and compliance efforts for content policy matters
  
• Partner with the leadership team to set strategy for product policies, including how to prioritize among competing demands for our time and expertise, and mentor others
  
• Continuously evaluate and iterate on our policy approaches
  
• Evaluate high-profile escalations
  
• Facilitate and productively engage in complex policy discussions, including respectfully challenging team members and xfn partners, using contrarian techniques to strengthen policy analysis, and incorporating new and diverse viewpoints
  

What we're looking for:

• 
  
• Bachelor's degree in a relevant field such as public policy, research or equivalent experience.
  
• Substantial experience with AI policy, generative AI systems, trust and safety operations, or policy development for AI-driven products, including drafting guidance for a global audience and managing escalations.
  
• Strong understanding of global online safety trends, generative AI and LLMs ; can identify and mitigate policy risk areas
  
• Experience developing and scaling AI policy and enforcement at a global level.
  
• An autonomous leader with strong writing skills and great verbal communication
  
• A skilled relationship builder who maintains collaborative partnerships within your team, across the company, and with outside audiences. Demonstrated experience working with cross-functional teams including Operations, Product, Legal, Public Policy and Comms
  
• Excellent project management skills and ability to work on multiple projects
  
• Excellent judgment and critical thinking skills: you can assess numerous inputs, weigh tradeoffs, manage ambiguity, and make difficult decisions
  
• A thoughtful leader with a demonstrated experience leading complex projects and mentoring others
  

Relocation Statement:

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

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.
  
• This role will need to be in the office for in-person collaboration 1-2 times a quarter and therefore can be situated anywhere in the country.
  

#LI-REMOTE

#LI-ARMM78

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:

Overview

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech

Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:
1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the well-being of our community.
8. We act ethically.
9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

Atlanta, GA

About the School of Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology

The School of Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology is one of the largest producers of electrical engineers and computer engineers in the United States. Almost 2,600 students are enrolled in the School's graduate and undergraduate programs, and in the last academic year, 801 degrees were awarded. All ECE undergraduate and graduate programs are in the top five of the most recent college rankings by U.S. News & World Report.

In addition to the main campus in Atlanta, Georgia, ECE also has permanent operations at Georgia Tech-Lorraine in France. Graduate students who spend at least one semester each at of the Georgia Tech locations (Atlanta, Lorraine, on two continents, North America and Europe) can earn the Georgia Tech Global Engineering Immersion Program (GEIP) Certificate when they receive the Georgia Tech M.S. degree.

Over 110 ECE faculty members are involved in 11 areas of research and education: bioengineering, computer systems and software, digital signal processing, electrical energy, electromagnetics, electronic design and applications, nanotechnology, optics and photonics, systems and controls, telecommunications, and VLSI systems and digital design: and the School is either home to or a key player in almost 20 research centers and consortia.

ECE is key to Georgia Tech's growing reputation as an internationally recognized educational and research and development university. ECE is firmly committed to sustaining excellence in traditional areas of strength and venturing into burgeoning areas of opportunity.

The Signal Lab in the School of Electrical and Computer Engineering at Georgia Tech is seeking a Research Scientist to lead and advance cutting-edge research in Artificial Intelligence. The role will involve laboratory management, project oversight, and business development activities to name a few.

1. Research Leadership in Foundation Models, World Models, and Frontier AI

• Lead and execute advanced research programs in large-scale AI, including foundation model architectures, multimodal representation learning, world models, agentic systems, and self-supervised learning at scale.
• Design and evaluate new training algorithms, model architectures, and scalable pipelines for language, vision, audio, robotics, simulation, and multi-agent environments.
• Develop GPU-, TPU-, and cluster-optimized training frameworks, distributed training systems, and inference-time optimization pipelines for next-generation AI models.
• Publish high-impact papers in top AI/ML venues, release open-source tools, and contribute to Georgia Tech's AI research leadership and national strategic priorities.

2. Lab Management and AI Compute Infrastructure Operations

• Oversee daily operations of the AI research lab, including GPU clusters, high-performance storage, distributed training stacks, and data governance frameworks.
• Manage, maintain, and expand high-performance compute infrastructure: multi-node GPU clusters, distributed data loaders, RL/simulation environments, and model evaluation frameworks.
• Ensure safety, compliance, documentation, model governance, data integrity, and continuous uptime of compute and AI assets.
• Build automated pipelines for model training, experiment reproducibility, dataset generation, benchmarking, and large-scale evaluation.

3. Affiliate Engagement, Business Development, and Partnerships

• Engage, onboard, and support affiliate companies participating in the AI and foundation model research program.
• Serve as a technical liaison for affiliates across AI labs, cloud providers, robotics companies, semiconductor partners, government agencies, and enterprise AI users.
• Define joint research thrusts, scoping documents, datasets, deliverables, evaluation protocols, and IP structures for partner organizations.
• Coordinate demos, campus visits, model showcases, and affiliate meetings to support collaboration and knowledge transfer.

4. Project Management and PhD Mentorship

• Mentor PhD students, postdocs, and research engineers working on foundation models, world models, agentic systems, and large-scale representation learning.
• Manage multi-PI, multi-institution, and affiliate-funded AI research efforts, ensuring timely execution, publications, deliverables, reporting, and stakeholder satisfaction.
• Provide technical direction on model design, dataset creation, training strategies, evaluation, experiment planning, scheduling, milestones, and results dissemination.

Research Scientist/Engineer I

Bachelor's Degree in Electrical Engineering, Physics, or related area.

Research Scientist/Engineer II

• A Master's degree and three (3) years of relevant full-time experience after completion of that degree,
• A Master's degree and five (5) years of relevant full-time experience after completion of a Bachelor's degree, or
• A Doctoral degree.

Senior Research Scientist/Engineer

• A Master's degree and seven (7) years of relevant full-time experience after completion of that degree,
• A Master's degree and nine (9) years of relevant full-time experience after completion of a Bachelor's degree, or
• A Doctoral degree and four (4) years of relevant full-time experience after completion of a Bachelor's degree.

• PhD in Computer Science, Electrical and Computer Engineering, Machine Learning, or a closely related field with emphasis on AI or large-scale model development.
• Strong research record in foundation models, world models, representation learning, multimodal AI, distributed training, or agentic systems.
• Hands-on experience with large-scale model training using GPUs/TPUs, distributed systems, deep learning frameworks (PyTorch, JAX, TensorFlow), and data pipelines.
• Demonstrated experience mentoring students or leading technical AI teams.
• Strong communication and presentation skills for both technical and non-technical audiences.

Linda Dillon, Lucretia Allen or Shalonda Williams at

The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

This is not a supervisory position.
This position does not have any financial responsibilities.
This position will not be required to drive.
This role is not considered a position of trust.
This position does not require a purchasing card (P-Card).
This position will not travel
This position does not require security clearance.

Successful candidate must be able to pass a background check. Please visit employment/pre-employment-screening

Description

Seeking an AI/ML Operations professional for the following role -

Overall Responsibilities

• Manage operational workflows for model deployments, updates, and versioning across GCP, Azure, and AWS.
• Monitor model performance metrics: latency, throughput, error rates, token usage, and inference quality
• Track model drift, accuracy degradation, and performance anomalies - escalating to engineering as needed.
• Support knowledge base operations including vector embedding pipeline health, chunk quality, and refresh cycles in Vertex AI.
• Maintain model inventory and documentation across multi-cloud environments.
• Coordinate model evaluation cycles with Responsible AI and Core Engineering teams

Agent & MCP Server Operations

• Monitor AI agent health, performance, and reliability (AutoGen-based agents, MCP servers)
• Track agent execution metrics: task completion rates, tool call success/failure, latency, and error patterns
• Support agent deployment and configuration management workflows
• Document agent behaviors, known issues, and operational runbooks
• Coordinate with Core Engineering on agent updates, testing, and rollouts
• Monitor MCP server availability, connection health, and integration status

FinOps & Cost Management

• Track and analyze AI/ML cloud spend across GCP (Vertex AI), Azure (OpenAI), and AWS (Bedrock)
• Build cost dashboards with breakdowns by model, application team, use case, and environment.
• Monitor token consumption, inference costs, and embedding/storage costs.
• Identify cost optimization opportunities - model selection, caching, batching, rightsizing.
• Provide cost allocation reporting for chargeback/showback to consuming application teams.
• Forecast spend trends and flag budget anomalies.
• Partner with Infrastructure and Finance teams on AI cost governance.

Monitoring, Dashboarding & Reporting

• Build and maintain dashboards for platform performance, model health, agent metrics, and operational KPIs.
• Create executive and stakeholder reports on platform adoption, usage trends, and cost allocation.
• Develop Responsible AI dashboards tracking hallucination rates, accuracy metrics, guardrail triggers, and safety incidents.
• Monitor APIGEE gateway traffic patterns and API consumption trends.
• Provide regular reporting to product management on use case performance.

Release Operations Support

• Support release management processes with pre/post-deployment validation checks.
• Track release health metrics for models, agents, and platform components.
• Maintain release documentation, runbooks, and operational playbooks.
• Coordinate with QA, Performance Engineering, and Infrastructure teams during releases.

AI Operations

• Monitor guardrail effectiveness and flag anomalies to the Responsible AI team.
• Track and report on hallucination detection, content safety triggers, and accuracy trends.
• Support LLM Red Teaming efforts by collecting and organizing evaluation data.
• Maintain audit logs and compliance documentation for AI governance.

Cross-Functional Coordination

• Serve as operational point of contact for application teams consuming DxT AI APIs.
• Coordinate with Corporate Security on audit requests and compliance reporting.
• Partner with Infrastructure team on capacity tracking and resource utilization.
• Support Performance Engineering with load test analysis and results documentation.

Basic Qualifications

• 2-4 years in an Ops, Analytics, or Technical Operations role (MLOps, AIOps, DataOps, Platform Ops, or similar)
• Understanding of AI/ML concepts: models, inference, embeddings, vector databases, LLMs, tokens, prompts.
• Experience with cloud cost management and FinOps - tracking, analyzing, and optimizing cloud spend.
• Strong proficiency with dashboarding and visualization tools (Looker, Tableau, Grafana, or similar)
• Working knowledge of GCP (required); familiarity with Azure and AWS a plus.
• Comfortable with SQL and basic Python for data analysis and scripting.
• Experience with monitoring and observability platforms (Datadog, Prometheus/Grafana, Cloud Monitoring, or similar)
• Understanding of APIs and API gateways - ability to read logs, trace requests, analyze traffic.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills - able to translate technical metrics into stakeholder insights.
• College degree in Computer Science, BIS, MIS, EE, ME or similar is required.

Preferred Qualifications

• Hands-on experience with LLM platforms: Vertex AI, Azure OpenAI, AWS Bedrock
• Familiarity with AI agents and agentic architectures (AutoGen, LangChain, or similar)
• Exposure to MCP (Model Context Protocol) or agent-tool integration patterns.
• Experience with vector databases and RAG (Retrieval-Augmented Generation) operations.
• Understanding of MLOps lifecycle: model registry, versioning, deployment patterns, A/B testing
• Experience with APIGEE or similar API management platforms.
• Familiarity with Responsible AI metrics - hallucination, bias, content safety, guardrails.
• FinOps certification or formal cloud cost management experience.
• Experience supporting enterprise platform teams with multiple consuming applications.
• Familiarity with ML pipeline tools (Kubeflow, MLflow, Vertex AI Pipelines)
• Exposure to prompt management and evaluation frameworks.
• ITIL or operational process framework experience.
• Experience creating runbooks and operational documentation.

Education

• BE/BS in Computer Science, Business Information Systems, Management Information Systems, Electrical Engineering, Mechanical Engineering or similar

The estimated pay range for this position is USD $70.00/hr - USD $77.50/hr. Exact compensation and offers of employment are dependent on job-related knowledge, skills, experience, licenses or certifications, and location. We also offer comprehensive benefits. The Talent Acquisition Partner can share more details about compensation or benefits for the role during the interview process.

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.

The Team:

This role is within the Engineering, Product, and Design (EPD) Compliance Technical Program Management team which delivers critical & strategic technical compliance outcomes by directing and scaling engineering effort across organizational and functional boundaries. The programs they lead have most or all of these characteristics:

• 
  
• Strategic importance to Pinterest
  
• Distributed ownership
  
• Complexity
  
• Critical technical area or platform
  

We are seeking a dedicated, centralized Senior Technical Program Manager to establish and own our AI Compliance program, with a primary focus on GenAI risk mitigation. This specialized, high-impact role will bridge technical innovation, business strategy, and global regulatory requirements, ensuring our GenAI initiatives are both cutting-edge and compliant.

What you'll do:

• 
  
• Strategy and Program Ownership: Establish, own, and continually iterate on the holistic AI Governance and Risk Management Framework for the company, integrating it across all relevant engineering and product teams.
  
• Regulatory Compliance Roadmapping: Partner closely with Legal to translate emerging global AI regulations into concrete engineering requirements, compliance plans, and a unified roadmap.
  
• Risk Mitigation Systems: Establish and improve risk management systems, including developing internal policies for responsible AI practices, defining AI safety principles, establishing metrics that ensure effective compliance, and improving Pinterest's ability to mitigate risks of AI development through internal platforms and infrastructure.
  
• Cross-Functional Partnership: Act as the central compliance TPM lead, facilitating and driving consensus across Legal, Security, Privacy, Data Engineering, and Product teams to mitigate distributed AI risks.
  
• Operational Excellence: Incorporate AI compliance program status into leadership risk management reporting and establish tracking and review processes for GenAI features and open-source (OSS) model usage.
  

What we're looking for:

• 
  
• Experience working with AI model and feature development.
  
• 8+ years of experience as a technical program manager supporting Compliance or Trust & Safety Programs, or related experience.
  
• Entrepreneurial spirit with strong leadership, who can develop and lead a new initiative from the ground up and thrive in ambiguity.
  
• Passion for execution and getting things done.
  
• Solid technical background and ability to quickly understand technical designs, challenges and risks. Experience breaking down complex problems and driving decision making.
  
• Strong analytical abilities, able to create & monitor metrics, proactively identify growth opportunities & incidents.
  
• Strong written, verbal communication skills and comfort in communicating nuanced, and often technical, concepts to internal stakeholders or external partners.
  
• Ability to influence teams & drive alignment among multiple stakeholders.
  
• Demonstrated experience in creating and driving efficient processes at scale.
  
• Bachelor's degree in a relevant field such as computer science, computer and information technology, or equivalent experience.
  

Relocation Statement:

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

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1 time every 6-months and therefore can be situated anywhere in the country.
  

#LI-REMOTE

#LI-JD3

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:

Company

KUIU is obsessed with engineering the world's most innovative performance hunting gear. Our founder, Jason Hairston, had a vision for hunting gear that pushed the boundaries of performance, ultralight weight, and technology development. KUIU lives that vision every day with our customers and employees.

As the QA Lead, this role is responsible for ensuring that all technology systems and digital experiences are thoroughly tested, reliable, and defect-free. Operating within a small, agile team, KUIU seeks a technically skilled quality assurance professional to champion QA excellence, proactively identify issues, and drive swift resolution to maintain high standards of performance and user satisfaction.

As a direct-to-consumer brand, KUIU expects to be on the leading edge of creating compelling digital experiences that deliver high user satisfaction, engagement, and conversion while delivering great insights to guide real-time decisions across the business. The right candidate for this role will have a bias for action and problem-solving that reflects the real-time needs of a customer-obsessed brand committed to delivering results every day.

Role Summary

As the QA Lead, this role is responsible for ensuring that all technology systems and digital experiences are thoroughly tested, reliable, and defect-free. Operating within a small, agile team, KUIU seeks a technically skilled quality assurance professional to champion QA excellence, proactively identify issues, and drive swift resolution to maintain high standards of performance and user satisfaction.

This role is expected to leverage AI-assisted tools and automation to scale QA impact, accelerate delivery, and improve quality outcomes without linear headcount growth.

Role and Responsibilities

KUIU seeks a QA Professional with Direct-to-Consumer retail experience. Reporting to the SVP of IT, the QA Lead will:

●           Drive quality assurance strategy, planning, and execution across our technology ecosystem, using AI-assisted workflows to improve efficiency, coverage, and release confidence.

●           Lead QA efforts with support of third-party development partners, fostering a culture of accountability, high performance, and continuous improvement.

●           Define, implement, and refine testing standards, processes, and best practices, including the adoption of AI-enabled testing and analysis capabilities.

●           Develop and maintain automated and manual test frameworks for web, mobile, POS, and backend systems, leveraging AI-assisted test generation, test maintenance, and regression optimization where appropriate.

●           Collaborate closely with product managers, developers, and IT teams to align testing efforts with business goals, using AI-driven insights to identify risk areas and prioritize testing efforts.

●           Ensure high-quality releases through rigorous functional, regression, performance, and security testing, augmented by AI-driven analysis to identify defects earlier in the development lifecycle.

●           Log, track, and manage defect resolution through tools like Jira and other test management systems, using AI to detect defect patterns, root causes, and systemic quality risks.

●           Provide visibility into quality metrics and release health to stakeholders across the organization, leveraging AI-generated insights to communicate risk, trends, and release readiness.

●           Ensure adherence to QA SOPs and lead training/coaching initiatives where necessary, including upskilling teams on effective use of AI-assisted QA tools.

Professional Qualifications

●     Excellent knowledge of IT systems

●     3+ years of quality assurance experience with at least 2 years in a lead or management role.

●     Experience working in direct-to-consumer ecommerce environments (Shopify/Netsuite/Celigo a plus).

●     Demonstrated experience in test automation (e.g., Selenium, Cypress) and CI/CD tools (e.g., Jenkins, GitHub Actions), with experience incorporating AI-assisted testing or analysis tools strongly preferred.

●     Strong knowledge of software QA methodologies, tools, and processes, including modern approaches that leverage AI to improve effectiveness and speed.

●     Proficiency in creating detailed, comprehensive, and well-structured test plans and cases, including the use of AI to accelerate test creation and maintenance.

●     Excellent organizational skills and ability to manage multiple priorities in a fast-paced environment.

●     BSc/BA in computer science, engineering, or a related field.

●     Experience supporting global QA efforts across in-house, outsourced, and remote teams.

●     Familiarity with ITIL, PCI, and general compliance practices is a plus.

●     Demonstrated experience evaluating, implementing, or operationalizing AI-assisted tools to enhance QA productivity and quality outcomes.

Personal Characteristics 

●     Proactive communicator that defaults to transparency.

●     Execution-focused operator with a strong bias toward results.

●     Collaborative and effective at building cross-functional relationships.

●     Passionate about delivering a flawless customer experience through technical excellence.

●     Positive, can-do attitude and energized by problem-solving.

●     A self-starter who thrives in dynamic, high-growth environments.

●     Forward-thinking and curious, with a strong bias toward using AI to scale impact, automate repetitive work, and enable faster, higher-quality decision-making.

Job Description

Uncapped Commissions + Hourly Pay + Bonuses - Earn Over $80,000

Are you driven by results and excited by the idea of turning conversations into serious income?

Our client is looking for motivated, energetic individuals who want more than just a paycheck — they want real earning potential, a dynamic team environment, and the opportunity to grow.

This is not your typical customer service job. This is a sales-driven opportunity where the harder you work, the more you earn — and there's no cap on your commission.

What You’ll Get:

• Uncapped Commissions + Hourly Pay
• No Cold Calling — Every lead is a warm lead. These are homeowners who’ve already requested information.
• On-Site Perks — Fitness center, game room, and coffee bar just for our client’s Call Center team.
• Certified Great Place to Work — Our client takes team culture seriously.
• Commissions paid every 10 days in addition to regular paycheck.

Your Role:

• Make outbound calls using our client’s automated system (no manual dialing)
• Respond to inbound calls from interested customers
• Schedule free in-home consultations for our client’s nationwide dealer network
• Represent our client with professionalism and energy
• Earn commissions based on your results — no limits

We’re Looking For:

• Motivated sales professionals with a competitive edge and strong focus on achieving results
• Outgoing, confident communicators with strong interpersonal skills
• Call center experience is a plus
• People who thrive in a fast-paced, team-oriented environment

Rate: $15/hour plus commission. This is a full time role with benefits included from Day 1. The position is expected to work 40 hours/ week.

About The Company

Peterson Technology Partners (PTP) is an Equal Opportunity Employer committed to creating a transparent, inclusive, and human-centered hiring experience.

For more than 27 years, PTP has operated as one of the top IT staffing and recruiting firms in the USA—built on trust, long-term partnerships, and technical excellence.

Based in the Chicago suburb of Park Ridge, IL, our team of more than 500 employees and consultants is dedicated to:

Helping every client make the best hiring decisions possible

Matching professionals with the right IT jobs and career opportunities

As part of that commitment, we believe in providing clear information about how our hiring technologies work and how your data is used. The following section outlines our AI-assisted interview process and your rights as a candidate.

AI-Assisted Interview Experience (Pete & Gabi – Rebecca)

To provide a consistent, fair, and flexible experience for all candidates, we use AI-assisted tools to support parts of the interview process. This includes our proprietary AI platform Pete & Gabi, which includes AI recruiter Rebecca.

These AI hiring tools help us:

• Transcribe interviews
• Summarize candidate responses
• Generate job-related insights
• Streamline communication and scheduling

Please note that:

The AI does NOT make hiring decisions; all decisions are made by our human recruiters, hiring managers, or client partners.

The AI does not evaluate facial expressions, emotions, or physical traits; it is used only to support fairness, consistency, and efficiency.

If you prefer a non-AI interview format, we will gladly provide an alternative.

Technical or Case Interviews (Role-Dependent):

When applying for certain tech jobs, you may participate in:

• A technical interview
• A coding challenge
• A case study
• A client-specific assessment

We will always explain what to expect in advance so you can prepare with confidence.

Human Review & Selection:

Every candidate's profile—including interviews, conversations, and assessments—is reviewed by experienced recruiters and hiring leaders.

AI insights may assist with organization and evaluation, but final decisions are always human-driven.

Your Rights as a Candidate:

At PTP, every candidate has the right to:

Request a non-AI interview path

Ask how your data is being used

Request access to transcripts or interview recordings

Request deletion of your AI-recorded interview

Receive clear, timely communication

Our goal is to ensure you feel respected, informed, and supported throughout your experience.

Our Commitment:

For more than 27 years, PTP has focused on putting people first—candidates, consultants, employees, and clients.

We're committed to a hiring process that is:

• Transparent
• Compliant
• Equitable
• Powered by innovative technology that enhances—not replaces—human judgment

Welcome to the future of hiring at Peterson Technology Partners.

We're excited to learn more about you.

Equal Employment Opportunity:

Peterson Technology Partners is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, national origin, gender identity, sexual orientation, disability, veteran status, or any other protected characteristic.

Job Title: Enterprise AI-Ready Data Architect / Senior Data Engineer

Duration : 6 Months

Location: East Hanover (Onsite: 3days & 2 days remote a week)

Job Description:

The Enterprise AI-Ready Data Architect / Senior Data Engineer is a hybrid role with a focus on enterprise data architecture, AI integration, and hands-on data engineering. You will design and implement AI-ready, analytics-ready data products and semantic layers (including ontologies) that enable scalable enterprise analytics and integration with AI agents and GenAI use cases. You will embed governance-by-design (quality, lineage, contracts, observability) and partner closely with business and technology stakeholders—in pharmaceutical domains.

Key Responsibilities

1) Enterprise Data Architecture (AI-Ready by Design)

• Define and deliver strategic enterprise data architectures that scale and support AI-ready outcomes.

• Design data workflows capturing as-is and to-be states for enterprise modernization.

• Establish architecture patterns for:

• Semantic Context Layer

• Data Warehouses, Data Lakehouses

• Data Catalogs and Data Marketplaces

• Event-driven and metadata-driven architectures

• Distributed data management (Data Mesh, Data Fabric, Domain-Driven Design)

• Streaming data management

2) Data Products, Semantic Products, and Master Data

• Design data products that are AI-ready and reusable across domains and use cases.

• Build and govern semantic models, metrics-first modeling, and ontologies (knowledge graph concepts).

• Deliver Master Data Management (MDM) capabilities and align master/reference data with business needs.

• Support structured and unstructured data management to enable broader AI and analytics capabilities.

3) AI Integration and GenAI Enablement

• Enable contextual intelligence and data enrichment using:

• Contextual retrieval, entity linking, enrichment using LLMs and embeddings

• Vector search, RAG pipelines, and LLM-based enrichment

• Implement graph-based approaches:

• RDF, OWL, and SPARQL querying

• Property graph / knowledge graph modeling for relationships and reasoning

4) Data Engineering Delivery

• Design and implement robust ETL/ELT pipelines and orchestration frameworks.

• Develop high-quality transformations and data modeling using:

• Advanced SQL

• Tools such as dbt, Airflow, Dataiku

• Ensure production-grade engineering practices for performance, reliability, and maintainability across pipelines.

5) Governance and Standards (Embedded)

• Implement open-source data standards across:

• Data contracts

• Data quality

• Data lineage

• Lead metadata-driven governance through metadata management, observability, and policy-aligned design.

Skills and Qualifications

Core Technical Skills

Advanced SQL proficiency

Data platforms and governance tooling experience (one or more):

Snowflake, Databricks, Collibra, Salesforce

ELT/ETL and orchestration:

dbt, Airflow, Dataiku

BI and reporting:

Power BI

Cloud platforms:

AWS, Azure, GCP

Modern architecture and data management:

Data Mesh, Data Fabric, streaming, metadata-driven architecture

Graph and semantic technologies:

Knowledge graphs, property graphs (Neo4J), RDF/OWL, SPARQL, graph query languages

Domain and Modeling Expertise

• Experience with data modeling techniques:

• Conceptual, logical, physical modeling—preferably for the pharmaceutical industry

• Semantic modeling, ontology design, and reusable metric layers

• MDM concepts and implementation approaches

AI and GenAI Enablement Skills

• Familiarity with GenAI technologies for enhancing analysis/reporting and data enrichment

• Experience with embeddings, vector search, RAG patterns, and entity resolution/linking concepts

Nice to Have

• Experience with Palantir platform

Recommended Certifications

• CDMP (DAMA)

• TOGAF

• EDM Council frameworks:

• DCAM, CDMC, Open Knowledge Graph, Data Ethics and Responsible AI

Qualifications

• 10+ years of experience in data architecture, process automation, implementation and large-scale data engineering, ideally in pharmaceutical

• Advanced technical engineering and hands-on experience in data modeling for OLAP, workflow automation, AI/ML integration

• ETL pipeline design and development

• Bachelor’s degree in computer science, information technology, engineering, or data science

• Strong problem-solving skills and attention to detail.

• Excellent communication skills with the ability to work with senior stakeholders to translate business requirements to technical data requirements