ai product manager

Synopsys Inc

<div>
 
 We Are:
 
 
 
 At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.
 
 
 
 You Are:
 
 
 
 <ul>
 <li>
 The ideal candidate will have expertise in AI and Large Learning Models (LLM) used in the semiconductor verification market to help develop and drive Synopsys ICV AI use models for established process nodes to support advanced market needs. In this role you will be able to envision and prototype AI concepts that could accelerate semiconductor verification solutions and validate them in actual market use models. This is especially critical as the market is moving into the rapidly evolving combination of established process node, and advanced process nodes due to the rapidly expanding 3D and Chiplet market.
 </li>
 <li>
 You are interacting with the rest of Product Management, Technical Sales, and customers to have a complete understanding as to what specific AI use models need to be incorporated into product roadmaps to support the multiple markets that Synopsys interacts with.
 </li>
 <li>
 You are highly motivated, with a passion for innovation and the ability to work collaboratively across engineering, product management and sales teams to ensure alignment to initiatives.
 </li>
 <li>
 You are comfortable working as an individual contributor on multiple special projects while at the same time influence managing Technical Sales, R&amp;D, and Product Management.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Be Doing:
 
 
 
 <ul>
 <li>
 You will work with the Executive Director of Synopsys ICV for Established Nodes to conceptualize, prototype, and validate AI use models across the Synopsys ICV offering. These use models will be applicable for development and QA of core Synopsys ICV products and for customer applications throughout the Synopsys ICV product line. Special focus will be on the application of AI within strategies for Synopsys ICV established process node designs that align with advanced process nodes on the same 3D system and with overall Synopsys ICV broader business objectives.
 </li>
 <li>
 You will work with the rest of the 3D established node product managers to train and educate Synopsys Technical sales. Also work with Technical Sales to explain how to address customer unique requirements that calls for funded customization and support.
 </li>
 <li>
 You will work closely with the rest of Synopsys ICV product management, R&amp;D and sales teams to align ICV AI based needs with Synopsys product development and go-to-market strategies.
 
 
 </li>
 </ul>
 
 The Impact You Will Have:
 
 
 
 <ul>
 <li>
 Accelerate Synopsys&rsquo; ICV strategic positioning in the 3D and Chiplet established node market via identification and development of competitive differentiation using AI based techniques.
 </li>
 <li>
 Strengthen Synopsys&rsquo; influence and thought leadership within the semiconductor ecosystem and customer base through compelling presentations and engagement via AI driven use models as how Synopsys ICV is the solutions for the new 3D/Chiplet market.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need:
 
 
 
 <ul>
 <li>
 10+ years of relevant EDA/semiconductor product management experience.
 </li>
 <li>
 5+ years of experience in development of solutions that include AI and LLM techniques
 </li>
 <li>
 BS/MS, in Electrical Engineering and or Device Physics required. PhD or MBA in your field desired.
 </li>
 <li>
 Understanding of Semiconductor ecosystem, and expertise with Foundry, EDA PDK development and associated relationships for DRC functions and Rules.
 </li>
 <li>
 Proven ability to work with Product Management senior managers to help define what is a customer specific need vs a general market requirement where they could be an industry leading teacher-customer.
 </li>
 <li>
 Exceptional ability to drive and achieve results by yourself and others under time pressure.
 </li>
 <li>
 Excellent presentation, communications, and interpersonal skills.
 </li>
 <li>
 Ability to travel at least 20% of the time.
 
 
 </li>
 </ul>
 
 The Team You&rsquo;ll Be A Part Of:
 
 
 
 You will be working with senior management to create a dynamic team focused on greatly expanding Synopsys&rsquo; ICV product offerings and market positioning in the established node/3D design environment. This team will work closely with Line of Business (LoB) product management, sales, and R&amp;D to align ecosystem offerings with Synopsys&rsquo; ICV overall strategic goals. As a key component of the overall Synopsys EDA Product Management Group, this team will identify and cultivate new opportunities, drive collaborative initiatives, and promote joint marketing programs to deliver solutions to the semiconductor market that mutual established node customers need as the world moves into multiple ways to design their offerings. It is no longer just &ldquo;let&rsquo;s go to the next process node&rdquo; but a &ldquo;how do we best design this&rdquo; world.
 
 
 
 Rewards and Benefits:
 
 
 
 We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.
 
 
 At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.
 
 
 In addition to the base salary, this role may be eligible for an annual bonus and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request.
</div>

Principal AI Technical Product Manager - Synopsys ICV

Wipro

Job Title: AI LEAD L1
 City: Minneapolis
 State/Province: Minnesota
 Posting Start Date: 7/30/26
 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
 
Role Purpose
 The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed clientÃÂ¢ÃÂÃÂs expectations and add value to business.
 
͏
 
Do
 
Manage the product/ solution development using the desired AI techniques
 Lead development and implementation of custom solutions through thoughtful use of modern AI technology
 Review and evaluate the use cases and decide whether a product can be developed to add business value
 Create the overall product development strategy and integrating with the larger interfaces
 Create AI models and framework and implement them to cater to a business problem
 Draft the desired user Interface and create AI models as per business problem
 Analyze technology environment and client requirements to define product solutions using AI framework/ architecture
 Implement the necessary security features as per productÃÂ¢ÃÂÃÂs requirements
 Review the used case and see the latest AI that can be used in productÃÂ¢ÃÂÃÂs development
 Identify problem areas and perform root cause analysis and provide relevant solutions to the problem
 Tracks industry and application trends and relates these to planning current and future AI needs
 Create and delegate work plans to the programming team for product development
 Interact with Holmes advisory board for knowledge sharing and best practices
 Responsible for developing and maintaining client relationships with the key strategic partners and decision makers
 Drive discussions and provide consultation around product design as per customer needs
 Participate in client interactions and gather insights regarding product development
 Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements
 Assist in productÃÂ¢ÃÂÃÂs demonstration and receive feedback from the client
 Design presentations for seminars, meetings and enclave primarily focused over product
 Team Management
 Resourcing
 Forecast talent requirements as per the current and future business needs
 Hire adequate and right resources for the team
 Talent Management
 Ensure adequate onboarding and training for the team members to enhance capability & effectiveness
 Build an internal talent pool and ensure their career progression within the organization
 Manage team attrition
 Drive diversity in leadership positions
 Performance Management
 Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports
 Ensure that the Performance Nxt is followed for the entire team
 Employee Satisfaction and Engagement
 Lead and drive engagement initiatives for the team
 Track team satisfaction scores and identify initiatives to build engagement within the team
 
͏
 
Deliver
 
No. Performance Parameter Measure
 1. Continuous technical project management & delivery Adoption of new technologies, IP creation, MVP creation, Number of patents filed, Research papers created
 2. Client Centricity No. of automation done, On-Time Delivery, cost of delivery, optimal resource allocation
 3. Capability Building & Team Management % trained on new age skills, Team attrition %, Number of webinars conducted (internal/external)
 
͏
 ͏
 Mandatory Skills: AI Cognitive .
 
Experience: 5-8 Years .
 
The expected compensation for this role ranges from $60,000 to $135,000 .
 
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
 
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
 
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
 
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

AI LEAD L1

Datamatics Technologies

<div>
 Job Description: AI Product &amp; Business Translation Lead
 
 
 Job Title:
 
 AI Product &amp; Business Translation Lead
 
 
 Experience:
 
 9&ndash;12+ Years
 
 
 Location:&nbsp;
 
 
 
 Riyadh - Onsite
 
 
 
 
 Employment Type:
 
 Full-Time
 
 Job Overview
 
 We are seeking an experienced
 
 AI Product &amp; Business Translation Lead
 
 with
 
 9&ndash;12+ years of experience
 
 to bridge the gap between business objectives, product strategy, and artificial intelligence capabilities. The ideal candidate will have strong expertise in defining AI use cases, developing AI-driven product strategies, engaging executive stakeholders, and driving successful adoption of AI solutions across organizations.
 
 
 This role requires a strong understanding of business transformation, AI capabilities, product lifecycle management, and the ability to translate complex AI concepts into measurable business outcomes.
 
 Key Responsibilities
 <ul>
 <li>
 Define and prioritize AI use cases aligned with business objectives and strategic goals
 </li>
 <li>
 Develop AI product strategies, roadmaps, and adoption frameworks
 </li>
 <li>
 Collaborate with business leaders, product teams, data scientists, and engineering teams to identify AI opportunities
 </li>
 <li>
 Translate business requirements into actionable AI solutions and product initiatives
 </li>
 <li>
 Evaluate AI opportunities based on business value, feasibility, scalability, and impact
 </li>
 <li>
 Drive stakeholder engagement across business and technology teams
 </li>
 <li>
 Support AI adoption initiatives by creating awareness, enablement plans, and change management strategies
 </li>
 <li>
 Define success metrics and KPIs for AI product initiatives
 </li>
 <li>
 Facilitate communication between technical teams and business stakeholders
 </li>
 <li>
 Support governance, prioritization, and lifecycle management of AI solutions
 </li>
 <li>
 Identify industry trends and emerging AI capabilities to recommend strategic opportunities
 </li>
 </ul>
 Required Technical &amp; Business SkillsAI Use Case Strategy
 <ul>
 <li>
 Strong experience in
 
 AI use case definition
 
 and identification of business opportunities for AI adoption
 </li>
 <li>
 Ability to evaluate AI feasibility, business impact, and implementation roadmap
 </li>
 <li>
 Experience translating AI capabilities into practical business solutions
 </li>
 </ul>
 Product Strategy &amp; Management
 <ul>
 <li>
 Strong experience in
 
 AI product strategy
 
 and roadmap development
 </li>
 <li>
 Experience defining product vision, priorities, success metrics, and adoption strategies
 </li>
 <li>
 Understanding of product lifecycle management and digital transformation initiatives
 </li>
 </ul>
 Stakeholder Engagement
 <ul>
 <li>
 Proven experience managing
 
 stakeholder engagement
 
 across business, technology, and executive teams
 </li>
 <li>
 Ability to communicate complex AI concepts to technical and non-technical audiences
 </li>
 <li>
 Experience facilitating workshops, discovery sessions, and executive discussions
 </li>
 </ul>
 AI Adoption &amp; Change Enablement
 <ul>
 <li>
 Experience driving
 
 AI adoption
 
 across organizations
 </li>
 <li>
 Ability to develop adoption frameworks, training strategies, and business enablement plans
 </li>
 <li>
 Understanding of organizational change management principles
 </li>
 </ul>
 Qualifications
 <ul>
 <li>
 Bachelor's degree in Computer Science, Business Administration, Artificial Intelligence, Information Systems, or a related field
 </li>
 <li>
 
 9&ndash;12+ years
 
 of experience in AI product management, digital transformation, business strategy, technology consulting, or related roles
 </li>
 <li>
 Strong understanding of AI/ML concepts and enterprise AI adoption challenges
 </li>
 <li>
 Excellent leadership, communication, and stakeholder management skills
 </li>
 <li>
 Proven ability to manage cross-functional initiatives and deliver business outcomes
 </li>
 </ul>
 Preferred Skills
 <ul>
 <li>
 Experience working with Generative AI, Large Language Models (LLMs), and AI-powered products
 </li>
 <li>
 Exposure to cloud AI platforms such as AWS, Azure, or Google Cloud AI services
 </li>
 <li>
 Experience in enterprise transformation programs and innovation initiatives
 </li>
 <li>
 Familiarity with AI governance, responsible AI practices, and risk management
 </li>
 <li>
 Experience working in Agile product development environments
 </li>
 </ul>
 Key Capability Areas
 <ul>
 <li>
 
 AI Strategy:
 
 AI Use Case Definition
 
 and
 
 AI Opportunity Assessment
 
 and
 
 Business Value Mapping
 </li>
 <li>
 
 Product Management:
 
 Product Strategy
 
 and
 
 AI Roadmap Development
 
 and
 
 Adoption Planning
 </li>
 <li>
 
 Stakeholder Management:
 
 Executive Engagement
 
 and
 
 Cross-functional Collaboration
 
 and
 
 Business-Technology Alignment
 </li>
 <li>
 
 AI Adoption:
 
 Change Enablement
 
 and
 
 User Adoption Strategy
 
 and
 
 AI Transformation Initiatives
 </li>
 <li>
 
 Business Translation:
 
 Translating AI Capabilities
 
 and
 
 Driving Measurable Business Outcomes
 
 and
 
 Strategic Decision Support
 </li>
 </ul>
</div>

AI Product & Business Translation Lead

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description: AI Product &amp; Business Translation Lead</h1>
Job Title: AI Product &amp; Business Translation Lead 
Experience: 9&ndash;12+ Years 
Location: Riyadh - Onsite 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Job Overview</h2>
We are seeking an experienced AI Product &amp; Business Translation Lead with 9&ndash;12+ years of experience to bridge the gap between business objectives, product strategy, and artificial intelligence capabilities. The ideal candidate will have strong expertise in defining AI use cases, developing AI-driven product strategies, engaging executive stakeholders, and driving successful adoption of AI solutions across organizations.
This role requires a strong understanding of business transformation, AI capabilities, product lifecycle management, and the ability to translate complex AI concepts into measurable business outcomes.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Define and prioritize AI use cases aligned with business objectives and strategic goals.</li><li>
Develop AI product strategies, roadmaps, and adoption frameworks.</li><li>
Collaborate with business leaders, product teams, data scientists, and engineering teams to identify AI opportunities.</li><li>
Translate business requirements into actionable AI solutions and product initiatives.</li><li>
Evaluate AI opportunities based on business value, feasibility, scalability, and impact.</li><li>
Drive stakeholder engagement across business and technology teams.</li><li>
Support AI adoption initiatives by creating awareness, enablement plans, and change management strategies.</li><li>
Define success metrics and KPIs for AI product initiatives.</li><li>
Facilitate communication between technical teams and business stakeholders.</li><li>
Support governance, prioritization, and lifecycle management of AI solutions.</li><li>
Identify industry trends and emerging AI capabilities to recommend strategic opportunities.</li></ul><h2 class="jobSectionHeader">
Required Technical &amp; Business Skills</h2><h3 class="jobSectionHeader">
AI Use Case Strategy</h3><ul><li>
Strong experience in AI use case definition and identification of business opportunities for AI adoption.</li><li>
Ability to evaluate AI feasibility, business impact, and implementation roadmap.</li><li>
Experience translating AI capabilities into practical business solutions.</li></ul><h3 class="jobSectionHeader">
Product Strategy &amp; Management</h3><ul><li>
Strong experience in AI product strategy and roadmap development.</li><li>
Experience defining product vision, priorities, success metrics, and adoption strategies.</li><li>
Understanding of product lifecycle management and digital transformation initiatives.</li></ul><h3 class="jobSectionHeader">
Stakeholder Engagement</h3><ul><li>
Proven experience managing stakeholder engagement across business, technology, and executive teams.</li><li>
Ability to communicate complex AI concepts to technical and non-technical audiences.</li><li>
Experience facilitating workshops, discovery sessions, and executive discussions.</li></ul><h3 class="jobSectionHeader">
AI Adoption &amp; Change Enablement</h3><ul><li>
Experience driving AI adoption across organizations.</li><li>
Ability to develop adoption frameworks, training strategies, and business enablement plans.</li><li>
Understanding of organizational change management principles.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's degree in Computer Science, Business Administration, Artificial Intelligence, Information Systems, or a related field.</li><li>
9&ndash;12+ years of experience in AI product management, digital transformation, business strategy, technology consulting, or related roles.</li><li>
Strong understanding of AI/ML concepts and enterprise AI adoption challenges.</li><li>
Excellent leadership, communication, and stakeholder management skills.</li><li>
Proven ability to manage cross-functional initiatives and deliver business outcomes.</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Experience working with Generative AI, Large Language Models (LLMs), and AI-powered products.</li><li>
Exposure to cloud AI platforms such as AWS, Azure, or Google Cloud AI services.</li><li>
Experience in enterprise transformation programs and innovation initiatives.</li><li>
Familiarity with AI governance, responsible AI practices, and risk management.</li><li>
Experience working in Agile product development environments.</li></ul><h2 class="jobSectionHeader">
Key Capability Areas</h2><ul><li>
AI Strategy: AI Use Case Definition and AI Opportunity Assessment and Business Value Mapping</li><li>
Product Management: Product Strategy and AI Roadmap Development and Adoption Planning</li><li>
Stakeholder Management: Executive Engagement and Cross-functional Collaboration and Business-Technology Alignment</li><li>
AI Adoption: Change Enablement and User Adoption Strategy and AI Transformation Initiatives</li><li>
Business Translation: Translating AI Capabilities and Driving Measurable Business Outcomes and Strategic Decision Support</li></ul>
X5pk2T1uRM</div>

Scale AI

<div>
 Scale is growing rapidly, and joining the Global Public Sector team is an opportunity to work on one of the most exciting and quickly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale&rsquo;s work with governments and government-backed entities outside of the United States.
 
 
 We develop bespoke solutions that leverage our customers&rsquo; proprietary data and expertise to transform their organizations with AI. We work with them to understand their pain points and workflows and then forward deploy our team to build cutting-edge solutions. The applications we build are powered by the Scale GenAI Platform, a full stack product to build, test and deploy frontier AI agents.
 
 
 <ul>
 <li>
 Developing custom AI applications
 </li>
 <li>
 Building custom LLMs
 </li>
 <li>
 Providing high-quality training data for research and government institutions building LLMs
 </li>
 <li>
 Developing partnerships to foster regional talent growth and AI adoption
 
 
 </li>
 </ul>
 We are looking for an entrepreneurial and experienced product leader to play a pivotal role in the ideation and development of transformative AI solutions. The ideal candidate has deep experience with AI/ML application development, can think strategically about how to solve a problem, is an excellent listener, is comfortable getting into the weeds operationally, and has a strong understanding of software engineering principles and practices. You will be responsible for owning large AI projects for one or many customers.
 
 
 You will lead a cross-functional team of engineers, MLEs, and operators to build a highly impactful solution for our customers that will drive millions in revenue for our business as well.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Lead design workshops with the client to define custom AI solutions
 </li>
 <li>
 Scope out new AI application use cases across various government entities
 </li>
 <li>
 Lead cross-functional development of AI applications and custom LLMs with diverse stakeholders (Engineering + Ops + Go-to-Market)
 </li>
 <li>
 Consistently engage with future end-users to solicit feedback and ensure we are prioritizing effectively
 </li>
 <li>
 Stay up to date with latest research in applied AI and training custom LLMs
 </li>
 <li>
 Scope out model evaluation sets and performance requirements, consistently review results, and iterate on the solution
 </li>
 <li>
 Give regular progress updates to the client and Global Public Sector leadership
 
 
 </li>
 </ul>
 
 Minimum Qualifications:
 
 
 
 <ul>
 <li>
 4+ years of experience building products with specific experience within the last 1-2 years building AI-powered products
 </li>
 <li>
 Strong technical background (STEM degree) and/or experience building technical software products
 </li>
 <li>
 Strong understanding of generative AI technologies and their applications in both enterprise and consumer settings
 </li>
 <li>
 Experience with vibe coding tools (i.e., Replit, Lovable, Bolt, etc.) and design tools (i.e., Figma/Canva/Miro)
 </li>
 <li>
 Exceptional leadership, presentation and communication skills with the ability to influence cross-functional teams
 
 
 </li>
 </ul>
 
 Nice to haves:
 
 
 
 <ul>
 <li>
 Coding experience (Python)
 </li>
 <li>
 Proficiency in Arabic, both written and spoken
 
 
 </li>
 </ul>
 
 
 PLEASE NOTE:
 
 
 
 Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta,
 
 
 Ernst
 
 
 &amp;
 
 
 Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
 
 
 
 
 We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 
</div>

Product Manager of AI Applications, Global Public Sector

ZainCash

<div>About Zaincash
ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top Fintech company of 2023 and 2024 as well as GSMA&rsquo;s Best Mobile Innovation Supporting Humanitarian Situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more. For more information, please visit www.zaincash.iq.
Responsibilities:
1. AI Strategy and Use Case Development<ul><li>
Identify high value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.</li><li>
Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.</li><li>
Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</li></ul>
2. Solution Design and Technical Leadership<ul><li>
Translate business problems into practical AI solution designs, including LLM based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.</li><li>
Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.</li><li>
Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.</li><li>
Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</li></ul>
3. Proof of Concept and Production Delivery<ul><li>
Lead AI proof of concepts from problem framing to testing and business validation.</li><li>
Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.</li><li>
Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.</li><li>
Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</li></ul>
4. AI Governance, Risk, and Compliance<ul><li>
Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human in the loop controls.</li><li>
Work with Information Security, Risk, Compliance, Legal, and Internal Audit to ensure AI solutions are aligned with regulatory and internal control requirements.</li><li>
Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.</li><li>
Define approval gates for AI use cases before they are deployed into production.</li></ul>
5. Data and Platform Readiness<ul><li>
Assess the availability, quality, and accessibility of data required for AI use cases.</li><li>
Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.</li><li>
Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.</li><li>
Promote reusable patterns instead of isolated experiments.</li></ul>
6. Vendor and Partner Evaluation<ul><li>
Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.</li><li>
Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long term sustainability.</li><li>
Support procurement and management in making informed build versus buy decisions.</li></ul>
7. Team Enablement and Knowledge Sharing<ul><li>
Mentor engineers, analysts, product owners, and business teams on practical AI usage.</li><li>
Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.</li><li>
Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</li></ul> 

Requirements 
<ul><li>
Bachelor degree in Computer Science, Software Engineering, Data Science, AI, or a related technical field.</li><li>
8 plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.</li><li>
Strong hands on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.</li><li>
Strong software engineering background, preferably with Python and API based system integration.</li><li>
Experience designing and delivering production grade AI or data driven solutions.</li><li>
Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.</li><li>
Strong understanding of data privacy, security, responsible AI, and model governance.</li><li>
Ability to communicate clearly with both technical and non technical stakeholders.</li><li>
Strong problem solving skills and ability to challenge unclear or low value AI ideas.</li></ul>
Preferred Qualifications:<ul><li>
Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li><li>
Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li><li>
Experience with Arabic language AI use cases, OCR, document processing, or image based verification.</li><li>
Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li><li>
Experience evaluating AI vendors and preparing business cases for technology investment.</li><li>
Knowledge of data platforms, data pipelines, BI, and analytics environments.</li></ul></div>

Head of AI Technology

FlowFuse

<div>The area of ownership is assigned based on company priorities and can shift over time. It may be Certified Nodes and the protocols that connect customers to their industrial systems (OPC UA, S7, MQTT), the core platform, the infrastructure underneath it, or how FlowFuse applies AI for its users. The shape of the role stays constant regardless of the area: a single owner who lives in their domain and runs it like it's theirs.

This role builds on the Product Manager role. Where the base role defines product strategy across FlowFuse, the Lead Product Manager applies that craft with full ownership of a single area, working hands-on and directly with engineers.

The Lead Product Manager is primarily responsible for:
<ul>
<li>Continuous Discovery: Sitting in on sales and customer calls, reviewing call recordings, and talking to users directly to find the problem behind each request. The Lead PM develops deep knowledge of FlowFuse customers and the industrial IoT domain, and keeps that knowledge current.</li>
<li>Owning the Area Roadmap: Holding the one-to-three-year view for their area and breaking it into work that ships in the current sprint.</li>
<li>Running the Area Day to Day: Triaging the backlog and incoming ideas, prioritizing, sequencing, and moving work into sprints.</li>
<li>Writing Exacting Specifications: Producing precise, technical, unambiguous GitHub issues. Engineers should never have to guess what &quot;done&quot; means. There is no PM/designer/engineer trio at FlowFuse; the Lead PM writes the spec and the ticket, and what they write is what gets built.</li>
<li>Running Refinement with Their Engineering Squad: Arriving prepared, making product calls within their area, and unblocking the team quickly.</li>
<li>Filtering and Translating Input: Leadership, peers, and active customer deals generate ideas at high volume. The Lead PM absorbs that input, turns it into a clear and sequenced plan, and protects their engineering team's focus.</li>
</ul>
The Lead Product Manager reports to the Engineering Manager.
<h3 class="jobSectionHeader">
What is the Lead Product Manager not responsible for?</h3>

The base Product Manager exclusions apply, with the following clarifications:
<ul>
<li>People management: The Lead PM leads product decisions and runs refinement for their squad, but does not manage the engineers implementing the work. Building and managing a product team is a potential growth path for this role, not part of the starting scope.</li>
<li>Technical decisions on how the product is built or architected.</li>
<li>Effort estimations, the Lead Product Manager provides effort estimation when creating issues. However, the DRI for this process is the CTO.</li>
</ul><h2 class="jobSectionHeader">Skills</h2>

What the Lead Product Manager brings to the table:
<ul>
<li>Bias Toward Action: Moves fast, ships, and shows their work. Prefers making a reversible call today over scheduling a meeting about it next week.</li>
<li>Proven Craft: Has written real specifications and tickets, owned a backlog, and run refinement with an engineering squad.</li>
<li>Fast Learner of Hard Domains: Industrial, OT, or protocol experience is a strong plus, not a requirement. A demonstrated track record of going deep on a difficult domain matters more than existing IIoT credentials.</li>
<li>Fluency with Engineers: Speaks their language, respects their constraints, and makes their work easier. Earning the engineering team's trust is core to the role.</li>
<li>Sound Judgment Under Pressure: Holds a firm line on guardrails, coaches others toward their best work, and makes hard calls when needed.</li>
<li>Fluency with AI Tools: Already uses AI tools to draft specifications, prototype, and work faster.</li>
<li>Comfort with Ambiguity: Thrives in a small, fast-moving startup where priorities shift and the highest-leverage work is sometimes outside the job description.</li>
</ul>
People management experience is welcome but not required to start.
<h2 class="jobSectionHeader">
90 Day Plan</h2>
<ul><li>Day 30: Knows their area, its backlog, and FlowFuse's biggest customer commitments cold. Fluent in the tools the team runs on (GitHub, Slack, Asana, Claude, Google Workspace). Has sat in on refinements and written tickets to the expected standard. Has met sales and marketing and knows who owns what.</li>
<li>Day 60: Owns the backlog and near-term roadmap for their area. Has made real prioritization calls and sequenced upcoming sprints. Their engineering squad trusts their tickets. Can name the top reasons deals stall and renewals wobble, and has partnered with marketing on GTM collateral for at least one release.</li>
<li>Day 90: Has shipped a multi-week effort that solved a real customer problem, and set a roadmap leadership can plan around. Has turned at least one piece of sales or renewal friction into a roadmap response. Is the go-to person across the organization for the state of their area.</li>
</ul><h2 class="jobSectionHeader">Hiring Plan</h2>

The interview process mirrors how FlowFuse hires engineers: it prioritizes demonstrated ability over polished interview answers. Every stage answers one question: can this person independently own a product area at FlowFuse and become a trusted partner to engineering?
<div>
<ul><li>Application Review: Review resumes and the submitted work sample. Candidates submit one real ticket or issue they wrote, exactly as the engineer received it, plus two or three sentences on why they picked it, weighted toward what they would do differently now. Done by the hiring manager.</li></ul>
<ul><li>Screening Call (20m): Initial screener focused on role fit, motivation, remote and async experience, current AI workflow, and alignment with how FlowFuse works. Conducted by the hiring manager or People Ops.</li></ul>
<ul><li>Hiring Manager Interview (45m): A deeper conversation covering past product work, product judgment, and a realistic FlowFuse scenario. This stage gates for core product management craft: ownership, prioritization, discovery, and the ability to protect engineering focus. Conducted by the hiring manager.</li></ul>
<ul><li>Skills Assessment (45m): The candidate's submitted ticket anchors the conversation, including refinement-style pushback of the kind engineers raise every day, followed by a shared FlowFuse product scenario given to every candidate for comparability. The discussion focuses on day-to-day working style, decision-making under pressure, and how the candidate interacts with engineering, rather than grading the artifact itself. Conducted by the CTO and a product peer. This stage also indicates what level the candidate would suit.</li></ul>
<ul><li>STAR Interview (45m): A behavioral interview to understand past experiences and assess alignment with FlowFuse's values, initiative, and collaboration style. Conducted by the CEO.</li></ul>
<ul><li>Team Interview (45m): Conversation focused on team collaboration, communication style, and culture fit. Conducted by two team members not already in the interview loop, who complete a scorecard and are expected to raise concerns.</li></ul>
<ul><li>Offer: Extend an offer to the selected candidate.</li></ul></div></div>

Lead Product Manager

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