ai technical leader

CLEAR

<div>
 
 Have you ever had that green-light feeling? When you hit every green light and the day just feels like magic. CLEAR's mission is to create frictionless experiences where every day has that feeling. With more than 30+ million passionate members and hundreds of partners around the world, CLEAR&rsquo;s identity platform is transforming the way people live, work, and travel. Whether it&rsquo;s at the airport, stadium, or right on your phone, CLEAR connects you to the things that make you, you - unlocking easier, more secure, and more seamless experiences - making them all feel like magic.
 
 
 You will shape the architecture and execution of CLEAR&rsquo;s AI platform strategy, from infrastructure to applied intelligence. You&rsquo;ll partner with Engineering, Product, Analytics, and Security to design and scale systems that embed AI into every member and partner interaction. We&rsquo;re looking for a technical leader who can set the direction for AI adoption, drive platform scalability, and ensure responsible, trusted deployment of AI applications across CLEAR&rsquo;s ecosystem.
 
 
 
 
 What You Will Do:
 
 
 
 <ul>
 <li>
 Define and scale CLEAR&rsquo;s AI strategy: spanning data pipelines, ML lifecycle management, and intelligent applications.
 </li>
 <li>
 Lead engineering execution for AI models (development, deployment, monitoring, retraining) with a focus on reliability, observability, and ethical AI practices.
 </li>
 <li>
 Modernize analytics and intelligence systems to deliver predictive insights and partner-facing transparency in real time.
 </li>
 <li>
 Operationalize trust in AI by embedding privacy, compliance, and security into all platforms and workflows.
 </li>
 <li>
 Influence cross-functional stakeholders across the business
 
 ,
 
 fostering a culture of technical rigor, collaboration, and innovation, advising C Suite executives, leaders, and individual contributors.&nbsp;
 </li>
 <li>
 Lead the AI Governance group and drive best practices across business functions
 </li>
 <li>
 Track and optimize KPIs on AI adoption, model performance, scalability, and business impact.
 </li>
 </ul>
 
 
 
 What You&rsquo;re Great At:
 
 
 
 <ul>
 <li>
 12+ years in software engineering and/or technical experience with deep expertise in AI systems, ML platforms, and data infrastructure.
 </li>
 <li>
 At least 5 years of experience with various (e.g.&nbsp; more than one) AI technologies; including GenAI, ML, Deep Learning, RPA or others.
 </li>
 <li>
 Proven ability to scale AI capabilities into high-throughput, low-latency environments.
 </li>
 <li>
 Strong technical background in cloud-native architectures (AWS or similar) and modern AI/ML stacks (TensorFlow/PyTorch, MLflow, RAG, MCP, etc.).
 </li>
 <li>
 Experience leading AI strategy and platform adoptio
 
 n
 
 in enterprise-scale environments.
 </li>
 <li>
 Skilled at translating regulatory and compliance requirements into responsible AI practices.
 </li>
 <li>
 Track record of partnering closely with Product, Engineering, Analytics, and Security teams as well as business executives.
 </li>
 <li>
 Excellent communicator who can set a vision for AI, explain technical trade-offs, and influence executives, peers, and partners.
 </li>
 <li>
 Passionate about embedding AI into core products to deliver measurable impact for members and enterprise partners.
 </li>
 </ul>
 
 
 
 How You&rsquo;ll be Rewarded:
 
 
 
 
 At CLEAR, we help YOU move forward - because when you&rsquo;re at your best, we&rsquo;re at our best. You&rsquo;ll work with talented team members motivated by our mission of making experiences safer and easier. Our offices are bright and energetic with an open concept and plenty of conference rooms and casual co-working spaces. We also offer catered lunches every day and have fully stocked kitchens. Outside of the office, we invest in your well-being and learning &amp; development with stipends and reimbursement programs.
 
 
 We offer holistic total rewards, including comprehensive healthcare plans, family-building benefits (fertility and adoption/surrogacy support), flexible time off, annual wellness stipend, free OneMedical memberships for you and your dependents, a CLEAR Plus membership, and a 401(k) retirement plan with employer match. The base salary range for this role is $250,000-$290,000, depending on levels of skills and experience.
 
 
 
 The base salary range represents the low and high end of CLEAR&rsquo;s salary range for this position. Salaries will vary depending on various factors which include, but are not limited to location, education, skills, experience and performance. The range listed is just one component of CLEAR&rsquo;s total compensation package for employees and other rewards may include annual bonuses, commission, Restricted Stock Units.
 
 
 
 
 CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.
 
 
 
 
 
 
</div>

Head of AI Engineering (Strategy and Innovation)

MASTER-WORKS

<div>Provide end-to-end AI technical leadership and solution architecture ownership across AI Projects. The role ensures sound architectural decisions, correct application of AI patterns, and delivery-ready designs, while reducing technical dependency on Project Managers and strengthening execution alignment across delivery teams.Key Responsibilities
Architecture &amp; Technical Leadership<ul><li>
Own and lead AI solution architecture across projects, from concept design through deployment and operational readiness.</li><li>
Define and review end-to-end solution architectures, including AI models, data pipelines, platforms, integrations, infrastructure, and security considerations.</li><li>
Ensure architectural decisions are scalable, secure, cost-effective, and aligned with enterprise and client standards.</li></ul>
AI Pattern &amp; Technology Selection<ul><li>
Ensure the correct selection and implementation of AI patterns, including:</li><li><ul><li>
Computer Vision (CV)</li><li>
Natural Language Processing (NLP)</li><li>
Advanced Analytics</li><li>
Large Language Models (LLMs)</li></ul></li><li>
Evaluate trade-offs between model types, architectures, and deployment approaches (cloud, on-prem, edge).</li></ul>
Delivery &amp; PM Enablement<ul><li>
Support Project Managers and Delivery Managers with:</li><li><ul><li>
Technical estimations and feasibility assessments</li><li>
Identification of technical risks, dependencies, and constraints</li><li>
Delivery sequencing and technical milestone definition</li></ul></li><li>
Act as the technical reference point to unblock delivery and reduce escalation cycles.</li></ul>
Platform, Integration &amp; Readiness<ul><li>
Drive technical alignment across AI teams, platform teams, and infrastructure teams.</li><li>
Ensure code readiness, release readiness, and integration planning across environments (Dev, SIT, UAT, Prod).</li><li>
Review technical deliverables to ensure quality, consistency, and architectural compliance.</li></ul>
Stakeholder Communication<ul><li>
Translate complex technical decisions into clear, structured communication for non-technical stakeholders.</li><li>
Participate in client discussions where architectural clarity or technical assurance is required.</li></ul> 
Requirements 
 
Qualifications &amp; Requirements<ul><li>Strong hands-on background in delivering enterprise-grade AI projects and AI platforms.</li><li>Proven experience in solution architecture, including AI systems, data architectures, and system integrations.</li><li>Solid understanding of AI lifecycle, model deployment, monitoring, and operational considerations.</li><li>Ability to balance technical depth with delivery practicality.</li></ul>
Required Certifications
AI / ML certification from Azure, AWS, or GCP (mandatory or strong requirement).
Arabic speaker with strong spoken and written English.<ul><li>Immediate joining preferred.</li></ul></div>

AI Technical Lead - Arabic speaker

Polarity Holdings

Note: This is a fully remote role for a US-based company. Professionals from all over Pakistan are encouraged to apply.Title: Head of Artificial Intelligence, Data Science, &amp; Machine LearningLocation: 100% Remote &ndash; Work from Anywhere in PakistanCompany HQ: New York, NY, USAContact: www.falconscaling.com | optimize@falconscaling.com | PolarityIQ.comCompensation: 363,000 PKR per month starting salaryAbout Us:Falcon Scaling and PolarityIQ are seeking a technical leader to own the creation of AI-powered products and the construction, enrichment, and intelligence of our core databases.This is a hands-on, high-autonomy role. You will conceptualize and build original AI products, design and deploy machine learning pipelines, architect intelligent data systems, and deliver real revenue-generating assets across both platforms.We are not looking for someone who manages AI teams. We are looking for someone who builds AI products &mdash; with their own hands, their own judgment, and their own code.If you thrive in ambiguity, take pride in ownership, and measure yourself by outcomes rather than hours logged, read on.Why You Might Want This RoleThis is a role for an extraordinarily skilled and motivated individual. Thorough, efficient, high-quality work is heavily rewarded.<ul><li>You will be paid weekly, on-time, every time &mdash; no waiting, no wondering, no anxiety.</li><li>With salary + commission, your on-target monthly earnings (OTE) can exceed Rs1,000,000 PKR.</li><li>This position will expand how you think, build, and solve problems at the intersection of AI, data, and product.</li><li>You will be consistently challenged &mdash; your assumptions, processes, biases, conclusions, and limitations.</li></ul>What You&rsquo;ll OwnAt a Glance &mdash; This Role Requires Someone Who:<ul><li>Builds AI products from scratch &mdash; not just uses AI, but designs, engineers, and ships revenue-generating AI tools and platforms</li><li>Architects and enriches databases &mdash; building, cleaning, deduplicating, normalizing, and scaling the data infrastructure that powers PolarityIQ</li><li>Deploys Claude Code as a primary development environment &mdash; building, iterating, and shipping features through agentic terminal-based workflows</li><li>Designs and trains machine learning models &mdash; classification, NLP, entity resolution, predictive scoring, and recommendation systems</li><li>Builds data pipelines &mdash; ingestion, transformation, enrichment, and quality assurance across structured and unstructured sources</li><li>Masters data science workflows &mdash; statistical analysis, feature engineering, model evaluation, and deployment</li><li>Uses AI daily as a force multiplier &mdash; without outsourcing judgment</li><li>Owns outcomes autonomously &mdash; no hand-holding, no excuses</li><li>Communicates in flawless English &mdash; first draft publishable</li><li>Treats budget like their own money &mdash; questions every tool, subscription, and cost that doesn&rsquo;t earn its place</li></ul>If Claude Code isn&rsquo;t already part of your daily workflow, this role will move too fast for you.AI Product Creation<ul><li>Conceptualize, build, and launch original AI-powered products &mdash; similar in nature to our Family Office Catalyst toolkit: https://www.polarityiq.com/fo-cat-63798</li><li>Translate real market problems into structured AI-driven solutions, not just prompts wrapped in a PDF</li><li>Identify new product opportunities across both platforms and take them from idea to revenue-generating asset</li><li>Build automated AI workflows that create genuine leverage without replacing critical thinking</li><li>Design product architectures that are scalable, maintainable, and cost-efficient &mdash; not proof-of-concept demos that collapse under real usage</li><li>Use AI as a force multiplier &mdash; not a crutch. You bring the strategy, judgment, and domain expertise; AI accelerates execution</li></ul>AI Agent Development<ul><li>Design and deploy autonomous AI agents that gather, validate, and synthesize intelligence across public and proprietary data sources</li><li>Build agents that monitor target accounts for personnel changes, allocation shifts, fund launches, and other actionable signals &mdash; without manual triggering</li><li>Understand agent architecture patterns &mdash; tool use, memory, multi-step reasoning, human-in-the-loop checkpoints</li><li>Know the difference between a prompt chain and an actual agent, and when each is appropriate</li></ul>Data Science &amp; Machine Learning<ul><li>Design, train, and deploy machine learning models for entity resolution, lead scoring, classification, clustering, and predictive analytics</li><li>Build NLP pipelines for extracting structured intelligence from unstructured data &mdash; filings, news, bios, fund documents, and web content</li><li>Develop recommendation and matching algorithms that surface high-relevance connections within family office and institutional data</li><li>Implement model monitoring, evaluation, and retraining workflows to maintain accuracy over time</li><li>Apply statistical rigor to data analysis &mdash; hypothesis testing, confidence intervals, A/B testing, and causal inference where appropriate</li><li>Translate complex analytical findings into actionable product features and business insights</li></ul>Database Architecture &amp; Enrichment<ul><li>Own the architecture, integrity, and growth of PolarityIQ&rsquo;s core intelligence database &mdash; the central asset that powers the platform</li><li>Design and manage relational schema across Supabase/PostgreSQL, ensuring normalization, indexing, and query performance at scale</li><li>Build and manage multi-source data enrichment waterfalls using Clay, Apollo, Hunter, People Data Labs, Clearbit, and similar platforms</li><li>Scrape and structure data from web sources using tools like Apify, Phantombuster, or Browse AI</li><li>Clean, deduplicate, and normalize large datasets for CRM or database ingestion</li><li>Apply data hygiene principles across all pipelines &mdash; bounce rates, email verification, contact scoring, and stale record detection</li><li>Work with APIs to pull, push, and transform data between platforms independently</li><li>Use Claude Code to orchestrate enrichment pipelines intelligently &mdash; not just routing data, but applying reasoning to flag stale records, infer missing attributes, and surface insights that standard enrichment tools cannot</li><li>Build data pipelines with cost efficiency in mind &mdash; avoiding expensive vendor overlap and prioritizing solutions that scale without proportional cost growth</li></ul>Claude Code &mdash; Non-Negotiable ProficiencyClaude Code is not a nice-to-have here. It is how development gets done.<ul><li>Operate Claude Code in terminal-based, agentic workflows &mdash; not as a code completer, but as a development collaborator you can direct, correct, and build with autonomously</li><li>Use Claude Code to orchestrate multi-step data enrichment pipelines &mdash; chaining Apollo, Clay, People Data Labs, Hunter, and your own Supabase database in a single automated workflow</li><li>Apply Claude Code&rsquo;s 200K context window to large codebase refactoring and architectural decisions that IDE-based tools cannot handle at the same depth</li><li>Understand Claude Code&rsquo;s limits &mdash; know when to use it versus when a GUI-based IDE is the right tool, and make that call without hand-holding</li></ul>SaaS Technical Development<ul><li>Architect, build, and maintain features across our SaaS platform (app.polarityiq.com), including frontend UI, backend logic, API integrations, and database management</li><li>Design clean, intuitive user experiences that reduce friction and improve conversion</li><li>Leverage Claude Code as a primary development tool &mdash; using agentic coding workflows to accelerate feature builds, prototype rapidly, and maintain output quality without ballooning engineering hours</li><li>Audit and rationalize tool spend across both platforms &mdash; identifying redundant subscriptions, underutilized licenses, and cheaper alternatives without sacrificing capability</li></ul>Technical Stack &amp; ToolsAI, ML, &amp; Data Science<ul><li>Strong proficiency with Python data science stack &mdash; pandas, NumPy, scikit-learn, XGBoost, and similar libraries</li><li>Experience with NLP frameworks and tools &mdash; spaCy, Hugging Face Transformers, LangChain, or equivalent</li><li>Working knowledge of deep learning frameworks (PyTorch or TensorFlow) for custom model development where needed</li><li>Experience building and deploying ML models in production &mdash; not just notebooks</li><li>Daily working proficiency with Claude, ChatGPT, and Gemini for content, research, automation, and product development</li><li>Claude Code Proficiency &mdash; Non-Negotiable: You are comfortable operating Claude Code in terminal-based, agentic workflows. It should feel like a natural extension of how you work &mdash; not something you&rsquo;re learning on the job.</li><li>Ability to build and refine custom prompts, automated workflows, and original AI-generated product pipelines</li><li>Critically important: you know how to leverage AI without losing your own judgment. You do not outsource your brain.</li></ul>Development &amp; Infrastructure<ul><li>Proficient in at least one modern frontend framework (React, Vue, or equivalent)</li><li>Backend experience with Python, Node.js, or similar</li><li>Database administration: SQL, relational schema design, and query optimization &mdash; including managed platforms such as Supabase or Firebase</li><li>API integration experience (REST, GraphQL, webhooks, third-party SaaS tools)</li><li>Version control via Git / GitHub</li></ul>Data &amp; Productivity<ul><li>Advanced Microsoft Excel &mdash; pivot tables, complex formulas, data modeling, and large dataset management</li><li>Experience with CRM tools, email platforms, and marketing automation (HubSpot, Apollo, Instantly, or equivalents)</li><li>Comfortable operating across Notion, Slack, and collaborative project management tools</li></ul>Communication<ul><li>Exceptional English proficiency: written and spoken</li><li>Able to write client-facing copy, technical documentation, and professional correspondence without editorial oversight</li><li>Communicates with clarity and precision; understands that how something is said is as important as what is being said</li><li>No heavy editing cycles required &mdash; your first draft should be close to publishable</li></ul>Deadlines / Work Pace / Evaluatory CriteriaMuch of your work will be done autonomously &mdash; meaning you will not be closely supervised. Your work will be evaluated in terms of both pace and output quality. You will be expected to adhere to internal deadlines and keep up with the pace set by management.For full performance evaluation criteria:Who You AreThe technical skills matter. But this section matters more.We are looking for someone who takes ownership before being asked &mdash; who sees a problem and solves it without waiting for a task list. Someone who measures themselves by outcomes, not activity. Who is honest, even when it&rsquo;s uncomfortable. Reliable, not occasionally but consistently. And resourceful enough to treat every dollar spent like it&rsquo;s coming out of their own pocket.If that description doesn&rsquo;t fit you naturally, this role will be a poor fit.You Think RigorouslyYour thought process is disciplined. You verify before you assert. You distinguish between facts, inferences, and conclusions &mdash; and you never conflate the three. You test your assumptions before acting on them, and you&rsquo;re willing to challenge your own hypotheses when the evidence points elsewhere.You resist the temptation to treat incomplete data as certainty. In a world saturated with AI-generated content, the ability to evaluate what is actually true &mdash; not just what sounds true &mdash; is among the most valuable skills you bring to this role. You are the quality filter. Not the other way around.You Use AI as a Tool, Not a CrutchWe use AI extensively, and we expect you to as well. But we are looking for someone who thinks independently first and uses AI to sharpen that thinking &mdash; not someone who outsources their judgment to a model and forwards the output.Claude Code, in particular, should feel like a natural extension of how you work &mdash; not something you&rsquo;re learning on the job. You will know when it&rsquo;s wrong. You will know when it&rsquo;s shallow. And you will apply the human layer of thinking that no prompt can replicate.You Are Savvy with ResourcesYou treat budget like it&rsquo;s your own money. You identify the leanest path to an outcome and question every tool, subscription, and workflow that doesn&rsquo;t earn its cost. You don&rsquo;t accumulate software &mdash; you audit it. You don&rsquo;t add vendors &mdash; you justify them.We have seen what happens when someone in this seat builds without cost awareness. We are not going back.Operating PrinciplesThese are not resume keywords. They are the standards we hold ourselves to &mdash; and what we will be evaluating in the first 30 days.<ul><li>Mature &mdash; You handle pressure, ambiguity, and feedback like a professional</li><li>Reliable &mdash; Your commitments mean something</li><li>Honest &mdash; You tell the truth about progress, blockers, and mistakes</li><li>Goal-Focused &mdash; You optimize for outcomes, not the appearance of busyness</li><li>Autonomous &mdash; You make sound decisions independently and move forward without hand-holding</li><li>Accountable &mdash; You own your results fully, including the bad ones</li><li>Expeditious &mdash; You move with urgency and respect that time is the scarcest resource</li><li>Resourceful &mdash; You find the leanest path and question every cost that doesn&rsquo;t earn its place</li><li>Responsible &mdash; You are drawn toward responsibility, not away from it</li></ul>Job Type: Full-timePay: Rs363,000.00 per monthEducation:<ul><li>Master's (Preferred)</li></ul>Language:<ul><li>English (Preferred)</li></ul>Work Location: In person

Head of Artificial Intelligence, Data Science, & Machine Learning

The Coca-Cola Company

<div>
 
 
 This is a People Leader role. The incumbent must be currently based in or willing to relocate to the Atlanta, GA area and work a hybrid work schedule
 
 .
 
 
 
 Travel
 
 : Up to 25% travel with an expectation to be in the office 3 days a week.
 
 
 The Head of Engineering is a senior technology leader accountable for engineering strategy and execution across the North America Operating Unit (NAOU), supporting Customer Experience, Service Experience, Sales, and transaction growth capabilities that enable a $19B+ revenue portfolio.
 
 
 This is a foundational leadership opportunity, a chance to build a modern product engineering organization from the ground up inside one of the most recognized consumer brands in the world, with a team already in motion and the mandate, resources, and executive support to do it right.
 
 
 This leader will direct a scaled engineering organization of 100+ full-time associates and contractors, operating within a modern Product Operating Model. The role carries regional accountability for the resilience, scalability, and performance of platforms and products that directly impact customer engagement, service delivery, commercial performance, and data-driven decision making across North America.
 
 
 The position requires a combination of deep technical authority, product orientation, and executive leadership presence. The Head of Engineering must operate seamlessly across architecture reviews, product discovery, and business executive level conversations translating engineering strategy into measurable business outcomes while ensuring technical decisions align with long-term enterprise value creation.
 
 
 This leader will establish engineering as a strategic business partner, building empowered, outcome-driven teams that deliver durable, scalable platforms and differentiated digital capabilities that accelerate growth, operational efficiency, and competitive advantage across the NAOU portfolio.
 
 
 
 Key Responsibilities
 
 
 
 
 Engineering Leadership &amp; Organizational Excellence
 
 
 <ul>
 <li>
 Lead and develop a high-performing engineering organization operating under the Product Operating Model, with clear accountability for product and platform outcomes.
 </li>
 <li>
 Build empowered engineering teams capable of owning business problems and opportunities end to end, from discovery through delivery, operation, and continuous improvement.
 </li>
 <li>
 Recruit, develop, and retain top engineering talent, creating a culture of technical excellence, accountability, and continuous learning.
 </li>
 <li>
 Establish clear engineering standards, operating rhythms, and accountability frameworks aligned to business outcomes rather than project completion.
 </li>
 </ul>
 
 
 Product Partnership &amp; Outcome Ownership
 
 
 <ul>
 <li>
 Partner closely with Product Management and Product Design in a durable one team model to solve meaningful business problems.
 </li>
 <li>
 Ensure engineering teams contribute actively to product discovery, technical feasibility, and innovation.
 </li>
 <li>
 Own the culture and operating model of the engineering organization, ensuring teams are builders and problem solvers, not order takers.
 </li>
 <li>
 Drive accountability for measurable outcomes including business impact, system reliability, performance, scalability, and customer experience.
 </li>
 <li>
 Ensure engineering decisions are aligned with product strategy, enterprise architecture, and long-term business priorities.
 </li>
 </ul>
 
 
 Technical Strategy &amp; Architecture Leadership
 
 
 <ul>
 <li>
 Define and evolve the technical strategy, architecture, and engineering practices required to support scalable, resilient, and secure product platforms.
 </li>
 <li>
 Provide hands-on architectural guidance and technical oversight for critical systems and platform investments.
 </li>
 <li>
 Ensure engineering teams build systems designed for scale, operability, resiliency, and long-term sustainability.
 </li>
 <li>
 Balance speed of delivery with technical excellence, operational stability, and long-term maintainability.
 </li>
 </ul>
 
 
 Executive Engagement &amp; Strategic Influence
 
 
 <ul>
 <li>
 Serve as a trusted technical advisor to senior business and technology leaders, translating complex technical concepts into clear business implications.
 </li>
 <li>
 Communicate engineering strategy, risks, tradeoffs, and investment needs to executive stakeholders with clarity and credibility.
 </li>
 <li>
 Influence enterprise technology direction, ensuring alignment between product engineering, enterprise architecture, and business strategy.
 </li>
 <li>
 Participate in executive planning cycles, helping shape technology investment priorities and long-term strategy.
 </li>
 </ul>
 
 
 Operational Excellence &amp; Engineering Effectiveness
 
 
 <ul>
 <li>
 Establish engineering metrics focused on outcomes, including system reliability, deployment frequency, cycle time, and business impact.
 </li>
 <li>
 Drive adoption of modern engineering practices including continuous delivery, automated testing, observability, and platform engineering.
 </li>
 <li>
 Ensure operational stability, resilience, and scalability of critical systems and platforms.
 </li>
 <li>
 Foster a culture of accountability, ownership, and continuous improvement.
 </li>
 </ul>
 
 
 AI Enablement
 
 
 <ul>
 <li>
 Champion the adoption and integration of AI and machine learning capabilities across the NAOU product and platform portfolio, positioning AI as a core driver of business performance, decision quality, and operational efficiency.
 </li>
 <li>
 Define and execute an AI enablement roadmap that progressively embeds intelligence into customer experience, service delivery, and internal business processes advancing the organization from AI-assisted workflows toward AI enabled decision making at scale.
 </li>
 <li>
 Partner with Product Management, Data &amp; Analytics, and business stakeholders to identify high-value AI use cases that drive measurable outcomes, including revenue growth, cost reduction, customer satisfaction, and workforce productivity.
 </li>
 <li>
 Lead engineering teams in building the foundational data, platform, and integration infrastructure required to support responsible, scalable AI deployment across the NAOU portfolio.
 </li>
 <li>
 Drive organizational readiness for AI-augmented work including workforce process redesign, human-in-the-loop governance frameworks, and change enablement &mdash; ensuring teams are equipped to operate effectively in an AI-enabled environment.
 </li>
 <li>
 Establish standards and guardrails for responsible AI use, including model governance, bias mitigation, transparency, and compliance with enterprise and regulatory requirements.
 </li>
 <li>
 Continuously evaluate the evolving AI and generative AI landscape, identifying emerging capabilities that can be rapidly applied to create competitive differentiation across the North America business
 </li>
 </ul>
 
 
 Required Experience &amp; Qualifications
 
 
 
 
 Leadership &amp; Product Model Experience
 
 
 <ul>
 <li>
 Strong partnership experience with Product Management and Product Design in empowered team environments.
 </li>
 <li>
 5+ years, proven experience leading engineering organizations operating within a Product Operating Model or equivalent modern product-centric environment.
 </li>
 <li>
 5+ years experience leading engineering through organizational transformation and modernization.
 </li>
 <li>
 10+ years demonstrated success building and scaling high-performing engineering teams.
 </li>
 <li>
 15+ years of progressive engineering experience, including both leadership roles and hands-on time building scalable solutions.
 </li>
 </ul>
 
 
 Technical Depth &amp; Engineering Credibility
 
 
 <ul>
 <li>
 Deep technical expertise in modern software architecture, distributed systems, and platform engineering.
 </li>
 <li>
 Strong understanding of cloud architectures, scalability, resiliency, and operational excellence.
 </li>
 <li>
 Ability to engage deeply with engineers on architecture, design, and technical tradeoffs.
 </li>
 <li>
 Track record of delivering complex, enterprise-scale platforms and systems.
 </li>
 <li>
 Demonstrated experience leading AI or machine learning enablement initiatives within enterprise product or platform environments, with measurable business impact.
 </li>
 <li>
 Familiarity with modern AI/ML platforms, LLM integration patterns, and the architectural requirements for scalable, governed AI deployment.
 </li>
 <li>
 Proven ability to drive workforce and process transformation in support of AI augmented decision making.
 </li>
 </ul>
 
 
 Executive Communication &amp; Strategic Influence
 
 
 <ul>
 <li>
 Exceptional ability to communicate complex technical topics clearly to senior executive and business stakeholders.
 </li>
 <li>
 Proven ability to influence senior leadership and shape enterprise technology strategy.
 </li>
 <li>
 Strong business acumen with ability to connect engineering investments to measurable business outcomes.
 </li>
 <li>
 Ability to operate effectively across both technical and business leadership environments.
 </li>
 </ul>
 
 
 Leadership
 
 
 <ul>
 <li>
 Strategic Alignment: Translate high-level business objectives into a scalable technical roadmap, including the ability to make the case for architectural decisions to the North America Executive Leadership team and CIO.
 </li>
 <li>
 Architectural Stewardship: Balance build vs. buy trade-offs with rigor and a long-term view, ensuring systems are built for durability and speed.
 </li>
 <li>
 Talent Builder: Attracts, develops, and retains elite engineering talent with a clear philosophy on what great looks like.
 </li>
 </ul>
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in engineering, computer science, or a related field required; advanced degree preferred. Equivalent combination of relevant education, training, and demonstrated professional experience will also be considered.
 </li>
 </ul>
 
 The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.
 
 
 Agile Methodology, Data Designing, Delivering Value, Digital Capabilities, Digital Technology, Engineering Development, Platform Strategy, Product Design, Product Management Leadership, Product Organization, Product Vision
 
 
 
 Pay Range
 
 
 
 $210,000 - $237,000
 
 
 
 Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
 
 
 
 
</div>

Head of Engineering, North America Operating Unit Product Organization

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Head of AI Engineering (Strategy and Innovation)

AI Technical Lead - Arabic speaker

Head of Artificial Intelligence, Data Science, & Machine Learning

Head of Artificial Intelligence, Data Science, & Machine Learning

Head of Artificial Intelligence, Data Science, & Machine Learning

Head of Artificial Intelligence, Data Science, & Machine Learning

Head of Engineering, North America Operating Unit Product Organization