
## Full Description
Key Responsibilities:

1. IoT System Development

· Design and implement IoT-based solutions for vending machines, including hardware integration, firmware development, and cloud communication.

· Develop telemetry systems for real-time data collection on sales, inventory, temperature, energy usage, and machine status.

· Work with various communication protocols (MQTT, Modbus, TCP/IP, LoRa, GSM,Wi-Fi, etc.).

· Integrate third-party IoT platforms or develop custom dashboards for monitoring and reporting.

2. Hardware Integration

· Interface with vending controllers, sensors, payment systems, and telemetry modules.

· Configure and calibrate smart devices (e.g., sensors, gateways, and controllers).

· Ensure reliable data transmission and secure connectivity between field devices and backend systems.

3. Software & Data Management

· Develop or integrate APIs for data exchange with ERP, CRM, or POS systems.

· Manage databases and data visualization dashboards.

· Collaborate with software developers to build mobile/web applications for remote monitoring and control.

· Conduct data analysis to generate actionable insights for operations and maintenance.

Job Type: Full-time

Pay: From QAR7,000.00 per month



## Qualifications
* Bachelor’s degree or equivalent practical experience
* 2 years of experience with software development in all of the following programming languages: C++, Java, Kotlin, TypeScript
* 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)
* 1 year of experience building and deploying recommendation systems models (e.g., retrieval, prediction, ranking, personalization, search quality, embedding) in production; and experience building architecture
## Benefits
* The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits
* Our salary ranges are determined by role, level, and location
* Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training
* Your recruiter can share more about the specific salary range for your preferred location during the hiring process
* Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits
## Responsibilities
* Write product or system development code
* Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency)
* Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback
* Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality
* Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing

## Full Description
Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.

• 2 years of experience with software development in all of the following programming languages: C++, Java, Kotlin, TypeScript.

• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

• 1 year of experience building and deploying recommendationsystems models (e.g., retrieval, prediction, ranking, personalization, search quality, embedding) in production; and experience building architecture.

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.

• Experience in Large Language Model (LLM) products, prompt engineering, or quality evaluation.

• Ability to analyze and find unique insights.

• Ability to grow in dynamic and changing environments with large technical and product ambiguity.

• Excellent communication, collaboration, investigative, problem-solving, and debugging skills.

About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

• Write product or system development code.

• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.

• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

• Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .



## Qualifications
* Proven product and business acumen: ability to assess early-stage companies, diligence product/tech claims, and form conviction on markets, teams, and business models
* Strong understanding of GenAI models, enterprise AI deployment, data systems, and emerging stacks across infrastructure, tooling, and applications
* Excellent communication and relationship-building skills, with the ability to influence senior stakeholders across different contexts
* Comfortable working with diverse teams across ambiguous, fast-moving environments with multiple cross-functional stakeholders
* Ability to translate complex AI concepts into clear strategic recommendations and measurable business outcomes
* Self-starter with the ability to independently drive work streams, prioritize effectively, and deliver at pace
## Benefits
* US $240K to US $300K annually (not including additional incentive compensation)
* Actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, qualifications and other conditions of employment
## Responsibilities
* Deepening Access, Connectivity and Ecosystem engagement:
* Leverage targeted investments in leading AI funds, category-defining AI companies and leading AI ecosystem players (e.g. frontier model labs, research institutions) to deepen Temasek’s access to frontier innovation, strengthen ecosystem connectivity, and accelerate AI-driven portfolio value creation
* Deploy select AI investments:
* Evaluating, leading due diligence, drafting investment approvals, co-ordinate internal transaction processes (including legal documentation) and post-investment performance monitoring
* Translate product and technology insights into portfolio impact:
* Partner other investment teams to evaluate priority sectors to inform both investment theses and portfolio-wide transformation efforts; assess the commercial potential and technical feasibility of AI technologies in due diligence and identify potential organic and inorganic value creation initiatives for existing portfolio companies
* Drive AI diffusion and support portfolio enablement:
* Support portfolio companies’ AI Transformation efforts by sharing insights on AI developments and product roadmaps which are pertinent to Temasek’s portfolio
* Support Temasek’s broader AI strategy:
* Work closely with the AI Pod team and other internal stakeholders to align initiatives and ensure timely sharing of insights across Temasek’s AI efforts

## Full Description
Position: Vice President, Investment (AI) (Based in SF)

Select how often (in days) to receive an alert:

Vice President, Investment (AI) (Based in SF)

Location:

San Franciso, CA, US, 94111

Group:

Investment Group

Department: POD-AI

Section: AI

Job Type: Permanent

Temasek is a global investment company headquartered in Singapore, with a net portfolio value of S $434 billion (US $324 billion,€299 billion, £250 billion, and RMB

2.35 trillion) as at 31 March 2025. Marking our unlisted assets to market would provide S $35 billion of value uplift and bring our mark to market net portfolio value to S $469 billion.

Our Purpose “So Every Generation Prospers” guides us to make a difference for today’s and future generations.

Operating on commercial principles, we seek to deliver sustainable returns over the long term.

We have 13 offices in 9 countries around the world:

Beijing, Hanoi, Mumbai, Shanghai, Shenzhen, and Singapore in Asia; and Brussels, London, Mexico City, New York, Paris, San Francisco, and Washington, DC outside Asia.

This role within AI Pod serves as a bridge between Temasek’s investment activities, the frontier AI ecosystem, and our global portfolio. This supports our broader mandate on broad-based AI adoption and enablement across portfolio companies through pertinent insights, technology and capability access, as well as talent connectivity. Operating out of San Francisco, the role anchors Temasek’s presence in the global AI hub – converting insights and relationships into differentiated advantage for both our investment activities and broader portfolio.

Responsibilities

• Deepening Access, Connectivity and Ecosystem engagement:

Leverage targeted investments in leading AI funds, category-defining AI companies and leading AI ecosystem players (e.g. frontier model labs, research institutions) to deepen Temasek’s access to frontier innovation, strengthen ecosystem connectivity, and accelerate AI-driven portfolio value creation.

• Deploy select AI investments:

Evaluating, leading due diligence, drafting investment approvals, co-ordinate internal transaction processes (including legal documentation) and post-investment performance monitoring

• Translate product and technology insights into portfolio impact:

Partner other investment teams to evaluate priority sectors to inform both investment theses and portfolio-wide transformation efforts; assess the commercial potential and technical feasibility of AI technologies in due diligence and identify potential organic and inorganic value creation initiatives for existing portfolio companies

• Drive AI diffusion and support portfolio enablement:

Support portfolio companies’ AI Transformation efforts by sharing insights on AI developments and product roadmaps which are pertinent to Temasek’s portfolio

• Support Temasek’s broader AI strategy:

Work closely with the AI Pod team and other internal stakeholders to align initiatives and ensure timely sharing of insights across Temasek’s AI efforts.

Requirements

• At least 7 years of working experience in corporate VC, venture investing, management consulting, and/or AI product development roles – experience shaping or evaluating AI products / business models is strongly preferred

• Proven product and business acumen: ability to assess early-stage companies, diligence product/tech claims, and form conviction on markets, teams, and business models.

• Strong understanding of GenAI models, enterprise AI deployment, data systems, and emerging stacks across infrastructure, tooling, and applications.

• Excellent communication and relationship-building skills, with the ability to influence senior stakeholders across different contexts

• Comfortable working with diverse teams across ambiguous, fast-moving environments with multiple cross-functional stakeholders.

• Ability to translate complex AI concepts into clear strategic recommendations and measurable business outcomes.

• Strong academic foundation with analytical depth; technical degrees (computer science, engineering, applied math) or meaningful product/technical experience preferred.

• Self-starter with the ability to independently drive work streams, prioritize effectively, and deliver at pace.

US $240K to US $300K annually (not including additional incentive compensation). Actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, qualifications and other conditions of employment.

Stay connected by joining our network! Enter your e-mail and tell us a bit about yourself, and well keep you informed about upcoming events and opportunities that match your interests.

Nearest Major Market: San Francisco

Nearest Secondary Market: Oakland

#J-18808-Ljbffr



## Qualifications
* Core Experience & Skills
* Hands on experience building multi agent solutions
* Mandatory expertise in building, designing, or defining complex Multi-System or Multi-Component Orchestration architectures or high-scale workflow automation platforms
* Strong understanding of the technical challenges in integrating and coordinating workflows across multiple enterprise systems (CMS, DAM, CRM) via API layers
* Experience working and building for complex enterprise personas (Administrators, Power Users, Auditors)
* Strong understanding of the role of high-quality data in automation development, quality, governance, and how it impacts business outcomes
* Proven collaborator with exceptional organizational effectiveness, able to drive consensus and execution across highly matrixed, technical teams
* A proven 0 1 builder with a deep focus on customer needs, comfortable quickly transitioning from initial problem framing to a live product
* Strong AI product fluency and curiosity about emerging, state-of-the-art tech, with an understanding of modern AI capabilities, their limitations, and how to productize them responsibly
* Leverage AI as a core capability to explore and refine experience directions, including user flows, UX copy, stress tests, and lightweight compositional elements
## Benefits
* The expected salary range for this position based on the primary location of South San Francisco, CA is $207,480 - $385,320
* Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law
* A discretionary annual bonus may be available based on individual and Company performance
* This position also qualifies for the benefits detailed at the link provided below
## Responsibilities
* This combined team, in collaboration with key partners, builds solutions to serve Marketing, Customer Engagement, Medical Affairs, Public Affairs & Access (“CMG”), and other patient- and customer-facing teams across CMG to shape and drive a seamless, consistent, meaningful, and compliant experience for patients and customers across our interactions
* Defining omnichannel solutions, shaping engagement strategies, designing, operationalizing, and producing seamless, consistent & meaningful patient and customer experiences
* Accelerating, connecting, and enabling the development of digital solutions that enhance the patient and customer experience across CMG
* Advancing the mission of seamless, consistent & meaningful patient and customer experiences that maximize patient impact while keeping compliance at the forefront
* We are seeking an exceptional Senior Business Product Manager to define and lead the platform strategy for this multi-agent system
* The platform will orchestrate across different specialized platforms including content creation and review platforms, content management systems, (CMS), Digital Asset Management (DAM) platforms, CRM, Omnichannel delivery systems etc
* You will build the core capabilities that accelerate time-to-market while achieving zero critical regulatory errors, regardless of the underlying tools
* For a Product leader who thrives on system design and defining interaction logic across diverse enterprise technologies, this is the chance to build the foundational platform for compliant automated operations at Genentech
* Reporting to the Senior Director, Content Authoring & Assembly, the Senior Business Product Manager, Agentic AI will own the strategy and roadmap for multi agent orchestration, ensuring it drives compliant, autonomous workflow automation across the entire Content Lifecycle from creation in CMS/DAM to deployment
* Strategy and Vision
* Define and articulate the long-term vision and strategy for the Master Automation/Agentic Layer as the enterprise control plane for all content workflows
* Own the product strategy and roadmap for core orchestration features, including module-to-module communication protocols, dynamic routing across systems, vendor-neutral tool integration frameworks, and state management for complex lifecycles
* Lead the decomposition of complex workflows (e.g., content versioning, MLR submission) into distinct, system-agnostic tasks that can be efficiently delegated to specialized Agentic Modules within any connected CMS or DAM platform
* Identify and prioritize opportunities where Master Orchestration can reduce bottlenecks and compliance risk across the entire content value chain
* Execution and Delivery
* Design the architecture and detailed requirements for the Master Layer's reasoning engine: focusing on planning, self-correction, exception handling, and seamless handover to Human-in-the-Loop (HITL) reviewers when required
* Define data grounding and context sharing requirements to ensure the Master Layer and its modules only operate based on validated, current, and compliant sources, regardless of which CMS/DAM holds the source data
* Translate workflow requirements into detailed product specifications for underlying logic and orchestration, balancing speed and efficiency with the high bar for accuracy and auditability required by MLR
* Partner with Engineering and Data Science to build robust, scalable, and observable platform components that allow for transparent tracking of every automated action across all integrated systems
* Prototype and test new module collaboration patterns with SMEs, ensuring compliance and operational viability across platforms
* Champion the "Autonomous Enterprise" mindset, defining the new operating model where human teams collaborate seamlessly with automated systems residing in any platform
* Facilitate deep technical and business collaboration across IT, CMLR, Legal,and Global teams to secure governance for the Master Platform and standardize the inputs/outputs of all Agentic Modules, regardless of the vendor
* Engage deeply with internal stakeholders (Content Strategists, MLR Reviewers) to understand trust boundaries and design escalation paths that maintain confidence in automated execution
* Influence adjacent product teams (e.g., teams owning CRM,OMNICHANEL, or other CMS/DAM systems) on the technical requirements needed for their modules to interface with and be governed by the Master Layer

## Full Description
THE POSITION

Why Genentech

We’re passionate about delivering on Our Promise to improve the lives of patients and create healthier communities for all. We foster a culture of inclusivity, integrity and creativity while boldly pursuing answers to the world’s most complex health challenges and transforming society.

Who We Are

Digital Experience is shaping the future of how Genentech connects withour patients and customers by harnessing the power of digital innovation and human-centered design. As healthcare evolves, we are bold in our approach – leveraging cutting edge AI, advanced digital engagement, end-to-end content management, and omnichannel technologies and operations to create seamless, personalized, and meaningful experiences for our patients and customers. This is your opportunity to lead transformative change, integrating advanced technology with strategic vision to drive impact at scale. If you are passionate about redefining the healthcare experiences and building something extraordinary, we want you on this journey. Let’s redefine what’s possible together!

This combined team, in collaboration with key partners, builds solutions to serve Marketing, Customer Engagement, Medical Affairs, Public Affairs & Access (“CMG”), and other patient- and customer-facing teams across CMG to shape and drive a seamless, consistent, meaningful, and compliant experience for patients and customers across our interactions. The team is specifically accountable for:

• Defining omnichannel solutions, shaping engagement strategies, designing, operationalizing, and producing seamless, consistent & meaningful patient and customer experiences.

• Accelerating, connecting, and enabling the development of digital solutions that enhance the patient and customer experience across CMG.

• Advancing the mission of seamless, consistent & meaningful patient and customer experiences that maximize patient impact while keeping compliance at the forefront.

The Opportunity

Genentech/Roche is looking to leverage agentic AI across the commercial value chain, including for marketing and sales, medical and government affairs and access to redefine how we engage with patients and physicians. We are seeking an exceptional Senior Business Product Manager to define and lead the platform strategy for this multi-agent system. The platform will orchestrate across different specialized platforms including content creation and review platforms, content management systems, (CMS), Digital Asset Management (DAM) platforms, CRM, Omnichannel delivery systems etc. You will build the core capabilities that accelerate time-to-market while achieving zero critical regulatory errors, regardless of the underlying tools. For a Product leader who thrives on system design and defining interaction logic across diverse enterprise technologies, this is the chance to build the foundational platform for compliant automated operations at Genentech.

The Impact You'll Make

Reporting to the Senior Director, Content Authoring & Assembly, the Senior Business Product Manager, Agentic AI will own the strategy and roadmap for multi agent orchestration, ensuring it drives compliant, autonomous workflow automation across the entire Content Lifecycle from creation in CMS/DAM to deployment.

Strategy and Vision

• Define and articulate the long-term vision and strategy for the Master Automation/Agentic Layer as the enterprise control plane for all content workflows.

• Own the product strategy and roadmap for core orchestration features, including module-to-module communication protocols, dynamic routing across systems, vendor-neutral tool integration frameworks, and state management for complex lifecycles.

• Lead the decomposition of complex workflows (e.g., content versioning, MLR submission) into distinct, system-agnostic tasks that can be efficiently delegated to specialized Agentic Modules within any connected CMS or DAM platform.

• Identify and prioritize opportunities where Master Orchestration can reduce bottlenecks and compliance risk across the entire content value chain.

Execution and Delivery

• Design the architecture and detailed requirements for the Master Layer's reasoning engine: focusing on planning, self-correction, exception handling, and seamless handover to Human-in-the-Loop (HITL) reviewers when required.

• Define data grounding and context sharing requirements to ensure the Master Layer and its modules only operate based on validated, current, and compliant sources, regardless of which CMS/DAM holds the source data.

• Translate workflow requirements into detailed product specifications for underlying logic and orchestration, balancing speed and efficiency with the high bar for accuracy and auditability required by MLR.

• Partner with Engineering and Data Science to build robust, scalable, and observable platform components that allow for transparent tracking of every automated action across all integrated systems.

• Prototype and test new module collaboration patterns with SMEs, ensuring compliance and operational viability across platforms.

People and Collaboration

• Champion the "Autonomous Enterprise" mindset, defining the new operating model where human teams collaborate seamlessly with automated systems residing in any platform.

• Facilitate deep technical and business collaboration across IT, CMLR, Legal,and Global teams to secure governance for the Master Platform and standardize the inputs/outputs of all Agentic Modules, regardless of the vendor.

• Engage deeply with internal stakeholders (Content Strategists, MLR Reviewers) to understand trust boundaries and design escalation paths that maintain confidence in automated execution.

• Influence adjacent product teams (e.g., teams owning CRM,OMNICHANEL, or other CMS/DAM systems) on the technical requirements needed for their modules to interface with and be governed by the Master Layer.

Qualifications

Core Experience & Skills

• 6+ years of enterprise software Product Management experience, with at least 5 years in SaaS; Data platform or advanced automation experience strongly preferred.

• Hands on experience building multi agent solutions

• Mandatory expertise in building, designing, or defining complex Multi-System or Multi-Component Orchestration architectures or high-scale workflow automation platforms.

• Strong understanding of the technical challenges in integrating and coordinating workflows across multiple enterprise systems (CMS, DAM, CRM) via API layers.

• Experience working and building for complex enterprise personas (Administrators, Power Users, Auditors).

• Strong understanding of the role of high-quality data in automation development, quality, governance, and how it impacts business outcomes.

• Proven collaborator with exceptional organizational effectiveness, able to drive consensus and execution across highly matrixed, technical teams.

• A proven 0 1 builder with a deep focus on customer needs, comfortable quickly transitioning from initial problem framing to a live product.

• Strong AI product fluency and curiosity about emerging, state-of-the-art tech, with an understanding of modern AI capabilities, their limitations, and how to productize them responsibly.

Preferred (Domain-Specific) Qualifications

• Practical familiarity with Content Management Systems (CMS) and Digital Asset Management (DAM) platforms, including their API architectures.

• Experience in content lifecycle management (creation, review, publishing) in a regulated environment is highly valued.

• Prior experience designing products where trust, auditability, and output validation (quality-first focus) are non-negotiable requirements.

• Thought leadership in advanced automation trends, system safety and ethics, and enterprise adoption patterns.

• Pharma, healthcare experience is a huge plus

• Prototype, experiment, and rapidly develop functional AI tools and data-driven solutions. Leverage AI as a core capability to explore and refine experience directions, including user flows, UX copy, stress tests, and lightweight compositional elements.

Location

• This position is based in South San Francisco, CA.

• Relocation Assistance is not available

The expected salary range for this position based on the primary location of South San Francisco, CA is $207,480 - $385,320 . Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Benefits

#LI-NN2

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

JOB FACTS

Job Sub Category

Computational Biology

Schedule

Full time

Job Type

Regular

Posted Date

Jan 15th 2026

Job ID

202512-132506




## Full Description
Product Manager – Data & AI

Company: Maqsood Labs

Location: Lahore, Pakistan (Onsite, Full-Time)

Reporting to:Head of Product / Data & AI Lead

Team: Data Engineers, Analytics Engineers, Data Scientists, BI Analysts

Industry: Fashion, E-commerce, Subscription, AI-enabled Styling

Role Overview

Maqsood Labs is seeking a Product Manager – Data & AI to own and drive the delivery of data and AI products that power customer experience, operational decision-making, and business growth.

This role sits at the intersection of business strategy, data platforms, analytics, and applied AI. You will act as the product owner for the Data & AI squad, translating business needs into well-defined data initiatives, prioritizing the backlog, and ensuring high-quality delivery across dashboards, pipelines, analytics, and AI-driven capabilities such as recommendations and decision support tools.

This is a hands-on product role requiring strong collaboration with engineering and analytics teams, confidence working with data concepts, and the ability to operate effectively in a fast-moving, cross-functional environment.

Key Responsibilities:

Product Ownership & Strategy

- Act as the Product Manager for the Data & AI domain, representing business needs and ensuring alignment with Maqsood Labs' commercial goals and data/AI strategy.

- Translate company objectives into a clear data product vision and roadmap, balancing short-term delivery with long-term platform scalability.

- Partner with business stakeholders (Product, Engineering, Commercial, Marketing, Operations, Styling) to identify opportunities where data and AI can deliver measurable value.

Backlog & Delivery Management

- Own and manage the Data & AI backlog, ensuring user stories are clearly defined with strong acceptance criteria and articulated business value.

- Prioritize work based on impact, dependencies, technical constraints, and business urgency.

- Work closely with data engineers, analytics engineers, and data scientists to deliver:

- Data pipelines and models

- BI dashboards and reporting solutions

- Recommendation systems and decision-support tools

- Experimentation and analytics frameworks

- Share Scrum Master responsibilities, including sprint planning and refinement, stand-ups, reviews, retrospectives, showcases, and release coordination.

Stakeholder Management & Communication

- Act as the primary point of contact for data product delivery, ensuring transparency on scope, timelines, dependencies, and risks.

- Clearly communicate data product objectives, trade-offs, and progress to both technical and non-technical stakeholders.

- Align delivery expectations across teams operating in different functions.

• *Data Quality, Governance & Adoption**

- Support the implementation and evolution of data governance, data quality standards, and metadata management practices.

- Ensure delivered data products are trusted, usable, and well-documented.

- Define and track adoption and performance metrics for data and AI products, driving continuous improvement and iteration based on usage and outcomes.

What You’ll Bring

Experience & Background

- 3+ years’ experience as a Product Manager in a data, analytics, or technology-focused environment.

- Demonstrated experience working closely with data engineering, analytics, or AI teams.

- Exposure to e-commerce, subscription businesses, marketplaces, or large-scale enterprise platforms is highly advantageous.

Data & Technical Understanding

- Strong conceptual understanding of:

- Data pipelines and ETL/ELT processes

- Data warehousing and modeling

- Analytics, BI, and reporting

- Data governance and quality principles

- Familiarity with tools and technologies such as:

- SQL

- Snowflake (or equivalent cloud data warehouses)

- Tableau, Power BI, Looker, or similar BI platforms

- Comfortable working with technical teams without needing to be hands-on coding.

Product & Delivery Skills

- Strong understanding of Agile product delivery, including backlog management, prioritization, and iterative delivery.

- Ability to break down complex data initiatives into clear, deliverable increments.

- Commercially minded, with a focus on measurable outcomes rather than outputs.

Communication & Ways of Working

- Excellent communication and stakeholder engagement skills across business and technical audiences.

- Confident operating in a cross-functional, matrixed environment.

- Highly organized, proactive, and comfortable managing ambiguity.

Working Model

- Full-time onsite role based in Lahore, Pakistan.




## Full Description
Gen AI Fullstack Developer

As a Gen AI Fullstack Developer, you will rapidly design, build, and iterate end to end AI-powered applications. You will work across frontend, backend, and cloud infrastructure, integrating modern Gen AI technologies into production-ready systems. You will collaborate closely with product, architecture, and engineering teams to deliver scalable, reliable, and high-impact solutions.

What you will do

In his role, you will:

• Build end to end fullstack applications using Python or TypeScript.

• Integrate Gen AI capabilities using LLM APIs and RAG architectures.

• Design and implement backend services using NestJS or Flask.

• Develop frontend experiences using React.

• Work with vector databases such as pgvector or similar technologies.

• Design and operate cloud infrastructure and CI/CD pipelines in Azure, AWS, or GCP.

• Implement monitoring, logging, and observability for production systems.

• Collaborate with PMs, architects, and engineers to define feasibility and delivery scope.

• Produce clear technical documentation and contribute to engineering best practices.

What you will bring

The top candidate will have the following skills:

• Bachelor's degree in CS, Engineering, or related, or equivalent practical experience.

• 5+ years of experience as a Fullstack Developer.

• Strong experience with Python or TypeScript.

• Strong experience building modern frontends with React.

• Strong experience building APIs and backend services with NestJS or Flask.

• Hands-on experience integrating LLM APIs and building RAG-based systems.

• Experience working with vector databases such as pgvector or similar.

• Solid DevOps experience, including Docker, CI/CD, and cloud platforms.

• Ability to prototype quickly and work effectively in ambiguous environments.

• Experience building and scaling production systems end to end.

Ideally you have…

• Experience working in startup or fast-paced product environments.

• Experience with open-source AI models.

• Experience with MLOps or AI observability tooling.

• Prior consulting or customer-facing delivery experience.

• Passion for applied AI, experimentation, and rapid iteration.

• Deep familiarity with at least one major cloud provider, Azure, AWS, or GCP.

• When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the Tech Aalto Privacy Policy, a copy of which is published at Tech Aalto's website )

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.




## Full Description
About the client

Our client is a very well-known retail chain in Hong Kong and to accelerate growth and strengthen competitiveness, they are hiring a senior technology leader to modernize their platforms and embed AI across customer, store, and back-office operations

About the Role

Reporting directly to the direction and leading small team, this role owns the application and digital platform roadmap while driving practical AI adoption end-to-end from use-case design to roll out and benefits tracking) You will lead technology partners and vendors to deliver cloud-first solutions, data-driven experiences, and intelligent automation that improves customer engagement, staff productivity, and operational resilience. Work with internal stakeholders, define and execute the application strategy, covering selection, implementation, enhancement, and integration across retail systems. Identify, prioritize, and deliver AI use cases such as customer-service agents, personalization, and decision-support tools, with clear KPIs and governance. Strengthen analytics and reporting capabilities, enabling better commercial decisions through improved data quality, models, and self-serve insights. Lastly, improve service operations by introducing automation and predictive monitoring (AIOps) to reduce incidents, accelerate root-cause analysis, and support stable omn-ichannel operations.

The successful applicant

• Bachelor's degree in Computer Science or related discipline or equivalent hands-on experience

• 7+ years across multiple technology domains, including application management and delivery leadership

• Strong understanding of retail application ecosystems and how systems connect across stores, e-commerce, inventory, and customer platforms

• Solid software delivery background, with the ability to manage scope, quality, vendors, and release cycles

• Strong knowledge of BI/reporting and an ability to translate business questions into measurable data products

• Experience supporting end users (e.g., store and office teams), with a service mind set and strong stakeholder management

• Excellent organization and project leadership skills, able to run multiple initiatives in parallel and deliver outcomes

• Strong communication and people leadership skills; able to influence across business functions and partners

• Good command in Chinese and English

Click "Apply Now" to apply for this position or call Karen Cheng at +852 3180 4921 for a confidential discussion. All information collected will be kept in strict confidence and will be used for recruitment purpose only.



## Qualifications
* Strong programming experience in Python or Java; comfort in learning the other
* Demonstrated experience with LLMs, AI APIs, or applied ML workflows
* Solid understanding of REST APIs, testing frameworks, and cloud deployment (AWS )
* Provide thought leadership that challenges existing processes and delivers clear, structured decision-making frameworks to evaluate implementation tradeoffs
* Curiosity, pragmatism, and ability to move from prototype to production
* Clear communicator who enjoys solving problems collaboratively
* Genuine enthusiasm for Banyan's mission and a willingness to help and mentor other team members
* Bachelor's degree required
* Experience with Postgres or other modern relational databases
* Familiarity with Vue.js or modern front-end frameworks
* Prior experience in financial services or FinTech
* Exposure to data pipelines, document parsing, or retrieval systems
* This is more than a job—it's a chance to build expertise at the intersection of fintech and climate tech
* Direct exposure working closely with founders, executives, and cross-functional teammates
* Learn from and with a diverse team of smart, passionate people
## Benefits
* Compensation: $180,000 - $215,000 base salary, commensurate with experience, and meaningful equity
* Our benefits package is designed to allow team members to be their best selves, in and out of the workplace
* In addition to top tier health plans and at work meal offerings, we prioritize your well-being and growth through professional development, parental leave, a flexible time off policy, and flexible work
## Responsibilities
* Design and implement AI-powered services using modern paradigms like Model Context Protocol (MCP), Retrieval-Augmented (RAG), Reasoning and Acting (ReAct), and agentic frameworks to automate complex financial analysis and due diligence workflows
* Develop secure, scalable, and maintainable APIs (primarily Python; Java experience also valued)
* Collaborate closely with the existing two-person AI pod to explore, prototype, and productize AI solutions
* Integrate with LLM APIs (OpenAI, Gemini) and vector databases to enhance automation initiatives
* Partner cross-functionally with Product, Customer Success, and Sales teams to identify opportunities for AI assistance and build AI expertise across the company
* Advocate for and apply healthy coding practices and Agile methodologies
* Participate actively in code reviews, pair programming, and knowledge development to implement new code and debug existing systems
* Provide 2nd tier production support and proactively identify ways to improve our systems
* Build financial and cleantech subject matter expertise and stay abreast of new AI technologies and industry trends to inform engineering decisions
* Develop cutting-edge industry expertise in fintech, capital markets, and clean infrastructure deployment
* You will be working on a meaningful product that is actively accelerating clean infrastructure deployment around the world

## Full Description
Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.

We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.

Job DescriptionJob Description

Banyan Infrastructure is on a mission to unlock the trillions of dollars needed to finance the renewable infrastructure revolution. We are a dynamic fintech company providing a cutting-edge software solution that empowers banks, funds, and other financial institutions globally to efficiently invest in sustainable projects and achieve their net-zero targets. Join us in building the future of green finance.

Why This Role Matters

You'll join a small, high-impact team expanding Banyan's core platform with applied AI – including work in document parsing, data extraction, generative AI, and conversational interaction with complex financial and operational data. This is a foundational role and a rare chance to deeply shape and define how applied AI transforms the financing of sustainable infrastructure.

What you'll do:

• Design and implement AI-powered services using modern paradigms like Model Context Protocol (MCP), Retrieval-Augmented (RAG), Reasoning and Acting (ReAct), and agentic frameworks to automate complex financial analysis and due diligence workflows.

• Develop secure, scalable, and maintainable APIs (primarily Python; Java experience also valued).

• Collaborate closely with the existing two-person AI pod to explore, prototype, and productize AI solutions.

• Integrate with LLM APIs (OpenAI, Gemini) and vector databases to enhance automation initiatives.

• Partner cross-functionally with Product, Customer Success, and Sales teams to identify opportunities for AI assistance and build AI expertise across the company.

• Advocate for and apply healthy coding practices and Agile methodologies.

• Participate actively in code reviews, pair programming, and knowledge development to implement new code and debug existing systems.

• Provide 2nd tier production support and proactively identify ways to improve our systems.

• Build financial and cleantech subject matter expertise and stay abreast of new AI technologies and industry trends to inform engineering decisions.

What you'll need:

• Strong programming experience in Python or Java; comfort in learning the other.

• Demonstrated experience with LLMs, AI APIs, or applied ML workflows.

• Solid understanding of REST APIs, testing frameworks, and cloud deployment (AWS ).

• Provide thought leadership that challenges existing processes and delivers clear, structured decision-making frameworks to evaluate implementation tradeoffs.

• Curiosity, pragmatism, and ability to move from prototype to production.

• Clear communicator who enjoys solving problems collaboratively.

• Genuine enthusiasm for Banyan's mission and a willingness to help and mentor other team members.

• Bachelor's degree required.

Bonus skills:

• Experience with Postgres or other modern relational databases.

• Familiarity with Vue.js or modern front-end frameworks.

• Prior experience in financial services or FinTech.

• Exposure to data pipelines, document parsing, or retrieval systems.

How we'll support your growth and success:

This is more than a job—it's a chance to build expertise at the intersection of fintech and climate tech.

• Direct exposure working closely with founders, executives, and cross-functional teammates.

• Develop cutting-edge industry expertise in fintech, capital markets, and clean infrastructure deployment.

• You will be working on a meaningful product that is actively accelerating clean infrastructure deployment around the world.

• Learn from and with a diverse team of smart, passionate people.

Reporting & Location: This role reports to VP, Engineering and is a hybrid position based in our San Francisco office (3 days in office/2 remote).

Compensation: $180,000 - $215,000 base salary, commensurate with experience, and meaningful equity.

Visa Sponsorship: At this time, Banyan is unable to provide H1B visa sponsorship for this position.

Our benefits package is designed to allow team members to be their best selves, in and out of the workplace. In addition to top tier health plans and at work meal offerings, we prioritize your well-being and growth through professional development, parental leave, a flexible time off policy, and flexible work. Our headquarters is centrally located between Bart and Caltrain in San Francisco, CA.

Confidence can sometimes hold us back from applying for a job. We'll let you in on a secret: there's no such thing as a 'perfect' candidate. We believe diverse perspectives and backgrounds are critical to building great technology. Our goal is to cultivate an environment where people feel valued and respected. So, however you identify and whatever background you bring, please apply if this role would make you excited to come to work. Banyan is an equal opportunity employer.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.




## Full Description
Job Summary

The AI Director is responsible for defining and leading the organization’s AI strategy, driving large-scale AI adoption across design, manufacturing, supply chain, and business operations. This role oversees advanced AI initiatives, builds and leads high-performing technical teams, and ensures AI solutions deliver measurable business impact while adhering to ethical, governance, and data privacy standards. The position works closely with senior leadership and cross-functional teams to embed AI into core workflows and support long-term digital transformation.

Key Responsibilities

AI Strategy & Leadership

• Define and execute a comprehensive AI strategy and roadmap aligned with business and digital transformation goals.

• Identify and prioritize high-impact AI use cases across product development, manufacturing, quality, supply chain, and customer engagement.

• Evaluate, select, and implement advanced AI technologies and platforms.

Team Leadership & Capability Building

• Build, lead, and mentor teams of AI designers, data scientists, and machine learning engineers.

• Foster a culture of innovation, experimentation, and continuous improvement.

Cross-Functional Integration

• Drive seamless integration of AI solutions into existing and new operational workflows.

• Collaborate with leadership, IT, R&D, and operations to ensure successful adoption and measurable outcomes.

AI Innovation & Advanced Applications

• Oversee development and deployment of AI/ML models for generative design, predictive analytics, automation, quality inspection, and supply chain optimization.

• Stay current on emerging AI trends relevant to manufacturing, sustainability, and digital design.

Data Governance & Responsible AI

• Establish strong data governance frameworks to ensure data quality, security, and ethical AI usage.

• Ensure compliance with data protection regulations and responsible AI practices.

Budget & Partnership Management

• Manage budgets for AI initiatives, tools, and talent.

• Assess and manage partnerships with external vendors, research institutions, and technology providers.

Requirements

Education & Experience

• Experience in apparel or textile industry

• Understanding of garment construction, textiles, apparel manufacturing processes, and supply chain dynamics

• Bachelor's degree in Artificial Intelligence, Machine Learning, Computer Science, Data Science, Engineering, or a related field

• Master’s degree or PhD is an advantage.

• At least 7 years of experience in AI/ML, data science, or advanced digital technologies, including at least 5 years in a leadership role.

• Proven experience designing, implementing, and scaling AI solutions in manufacturing, product development, or related environments.

Technical & Professional Skills

• Experience in AI/Machine Learning

• Experience in AI/ML frameworks, cloud platforms (e.g., AWS, Azure, GCP), data visualization tools, and relevant programming languages (e.g., Python, R)

Interested applicants for the above advertised position(s), please kindly click the APPLY button below or send in your updated resume.

EA License No.: 13C6305

Registration No.: R1874608 (LEE JIA HOU)

For candidate who applied for the advertised position is deemed to have consented to us that we may collect, use or disclose your personal information for purpose in connection with the services provided by us.




## Full Description
Key Responsibilities * Scout startups and scale-ups globally in the AI and financial services domains to identify high-potential technologies and emerging market trends.* Conduct market and competitive intelligence to evaluate innovation opportunities.* Assess maturity, strategic fit, and relevance of startup and scale-up solutions.* Support make-versus-buy decisions for AI and digital transformation use cases.* Manage and grow strategic relationships with global hyperscalers including Microsoft, G42, and others.* Collaborate with accelerators, venture capital firms, academic institutions, and ecosystem partners.* Facilitate pilot engagements, proof-of-concept initiatives, and technical collaborations.* Coordinate with internal teams to ensure smooth execution of pilot testing and partner onboarding. Ideal Profile * Strong understanding of AI technologies, digital innovation, and financial services trends.* Experience in startup evaluation, venture scouting, partnership development, or innovation ecosystems.* Ability to assess technical maturity and business relevance of emerging solutions.* Skilled in competitive intelligence, market research, and strategic analysis.* Comfortable managing senior-level relationships with hyperscalers, VCs, and academic partners.* Strong communication skills and ability to present insights clearly.* Self-driven, collaborative, and able to work in fast-evolving innovation environments. Skills Set * AI ecosystem knowledge* Startup and scale-up scouting* Market and competitive intelligence* Strategic partnership management* Pilot facilitation and technical coordination* Innovation assessment* Venture landscape understanding* Cross-functional collaboration



## Qualifications
* Manage top of funnel activity, outreach, engagement and qualification, delivering an exceptional candidate experience
* Experience sourcing top AI/ML talent through platforms such as GitHub, Kaggle, Arxiv, and X, with proficiency in tools like SeekOut, HireEZ, and technical assessment platforms (HackerRank, Codility)
* Active engagement in AI communities, conferences, and research forums is highly valued
* Strong sourcing skills using Boolean, LinkedIn Recruiter, and niche platforms
* Ability to thrive in a client facing environment where priorities can shift
* Proven ability to move fast without sacrificing quality or candidate experience
* Curiosity, persistence, and excellent communication skills
## Benefits
* The estimated hourly pay range for this contract role is $55-$70, based on experience
## Responsibilities
* Partner with hiring managers and TA leaders to understand critical business needs
* Develop creative sourcing strategies to uncover top talent across engineering, AI, sales, marketing, and more
* Build and maintain strong pipelines in highly competitive markets while supporting and engineering leaders with market intel
* Collaborate with a global team of recruiters who share best practices and drive results together

## Full Description
About Sustainable Talent

At Sustainable Talent, we help companies scale globally with contingent workforce solutions that balance speed, compliance, and culture. We know the power of flexible teams because we've lived it, and now we partner with some of the most innovative companies in the world to build high performing workforces.

We believe technology and AI give us an edge, but real success happens when innovation meets human connection. That's the Sustainable Talent difference.

The Opportunity

We're hiring a Technical Sourcer to support AI and technology hiring for a high-growth, award-winning platform built for and trusted by 40 million developers and 500,000 organizations including 98% of the Fortune 500.

What You'll Do

Partner with hiring managers and TA leaders to understand critical business needs

Develop creative sourcing strategies to uncover top talent across engineering, AI, sales, marketing, and more

Manage top of funnel activity, outreach, engagement and qualification, delivering an exceptional candidate experience

Build and maintain strong pipelines in highly competitive markets while supporting and engineering leaders with market intel.

Collaborate with a global team of recruiters who share best practices and drive results together

What You'll Bring

Experience sourcing top AI/ML talent through platforms such as GitHub, Kaggle, Arxiv, and X, with proficiency in tools like SeekOut, HireEZ, and technical assessment platforms (HackerRank, Codility). Active engagement in AI communities, conferences, and research forums is highly valued.

Strong sourcing skills using Boolean, LinkedIn Recruiter, and niche platforms

Ability to thrive in a client facing environment where priorities can shift

Proven ability to move fast without sacrificing quality or candidate experience

Curiosity, persistence, and excellent communication skills

What's In It For You

The chance to recruit for some of the most exciting, high growth companies in the world

The opportunity to sharpen your skills in both AI, Tech, and GTM recruiting

A supportive team that values innovation, collaboration, and the human side of hiring

The estimated hourly pay range for this contract role is $55-$70, based on experience.

Equal Opportunity Statement

Sustainable Talent is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Apply Today

If you're ready to do work that challenges you, connects you with incredible talent, and makes an impact at some of the most innovative companies on the planet, we'd love to hear from you.



Telemetry & IoT Developer – AI Vending Systems

Full Description

Zero to AI Engineer