Job description

HIRING: DATA SCIENTIST (Malaysian Only)

We are looking for a Senior Data Scientist with 5+ years of experience for an enterprise-scale AI implementation.

Open to Malaysian Citizens only.

Core Tech Stack:

Python / R (Expert)

Azure Databricks & Spark

ML Algorithms & Semantic Models

SQL / NoSQL & Data Architectures

Key Requirements:

5+ Years in Data Science/AI Engineering.

Strong track record in... Agile & Product-oriented teams.

Bachelor’s in CS, Applied Math, or Engineering.

The Role: Independent consulting, capturing requirements, and building scalable AI infrastructure and automated pipelines.

Job Type: Contract

Contract length: 12 months

Pay: RM3,320.08 - RM14,000.00 per month

Benefits:

• Health insurance

• Professional development

Work Location: In person

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Job description

We are a professional blockchain and security solutions company, providing great exposure to modern blockchain technologies. We are passionate about the latest technology (e.g. AI Chat) and keep learning and experimenting with pioneer projects.

我們是一家專注於區塊鏈技術與安全解決方案的專業公司，為團隊提供接觸前沿區塊鏈科技的絕佳平台。我們對最新科技充滿熱情（如 AI 智能對話等），並不斷學習、勇於嘗試各種開創性項目。

Want to break into the AI industry but don’t know where to start...? We’re looking for passionate AI Product Specialist to join our frontline team and ride the AI wave together!

想踏入 AI 行業，卻不知從何開始？我們正在尋找充滿熱情的 AI 產品專員，加入我們的前線團隊，一起搭上 AI 浪潮！

Job Highlight 職位亮點

• Monthly bonus pool for top performers!額外獎金制度

• On-the-job AI training with team leaders專業AI培訓

• Top performers can convert to full-time Sales晋升機會

Your Role & Mission 你的角色與任務

• Brand Ambassador: Represent UD at various events & exhibitions to showcase how AI is revolutionizing the way we live and work.

品牌大使：在不同活動、展覽中代表公司，展現 AI 如何改變未來生活與工作。

• Offline promotion: Conduct AI service outreach in designated commercial districts.

線下推廣：在指定商圈進行 AI 服務推廣及客戶開發。

• AI Solution Showcasing:Demonstrate cutting-edge AI product scenarios to potential clients, turning complex technology into relatable everyday solutions.

AI 方案演示：向潛在客戶介紹及示範 AI 產品的實際應用場景。

• Lead generation: Proactively engage potential clients and collect contact information.

引流及收集 Lead：主動接觸潛在客戶，收集聯絡資訊。

• Market Insights & Strategy: Collaborate with our dynamic team to gather user feedback and contribute creative ideas to optimize our AI marketing strategies.

市場洞察：與團隊交流，收集用戶反饋，參與優化 AI 產品的推廣策略。

• Community Engagement: Engage with our online community and social media platforms to spark conversations and answer queries regarding our AI products.

社群互動：協助在社交媒體或線上平台解答有關 AI 產品的疑問。

• Teamwork: Work alongside AI Team Leaders with on-site coaching.

團隊協作：跟隨 AI 小組組長一同上班，接受現場指導。

Who We Are Looking For 我們在找這樣的你

• Fresh graduates and students are highly welcome

歡迎大專生 / 大學生 / 應屆畢業生

• Qualifications: Degrees in Marketing, PR, IT, or related fields are a plus — but we value your passion and potential above all else!

學歷背景：主修市場學、公關、資訊科技或相關學科優先（但我們更看重你的態度與潛力！）

• Communication Pro: Outgoing personality with strong communication skills.

溝通達人：善於溝通，性格開朗主動

• AI Enthusiast: Interest in AI / tech trends (no prior experience needed).

AI 發燒友：對 AI / 科技趨勢有興趣（無需相關經驗)

• Growth Mindset: Possess a "Can-do" attitude with an adventurous spirit—ready to embrace new challenges and thrive in a fast-paced environment.

積極冒險：具備「Can-do」精神，不怕挑戰新事物，適應力強。

• Available for full-day shifts (8 hours/day)

• 能配合全日制上班（8 小時/天）

Interested parties please do not hesitate to send us your full resume with expected salary.

加入我們，將最前沿的 AI 科技帶入大眾生活！

(Personal data collected would be used for recruitment purpose only)

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Job description

Application Open:

Full-Time

MBZUAI is seeking a Gender and AI Research Scientist responsible

for embedding gender equity, inclusion, and social impact

considerations across all Institute for Agriculture & AI (IAAI)

research, technical development, and deployment activities. The

role will provide subject-matter leadership on gender-responsive AI

research, advisory system design, and evidence-base...d interventions,

with a particular focus on improving outcomes for women smallholder

farmers and marginalized groups through AI-enabled agricultural

solutions.

Key Responsibilities

Gender Strategy and Institutional Integration

• Develop and lead the Institute’s gender and inclusion strategy,

ensuring systematic integration into research agendas, governance

frameworks, operational guidelines, and program design.

• Embed gender considerations into standard operating procedures,

ethical guidelines, and institutional practices across all IAAI

activities.

Gender-Responsive Research and AI Design

• Advise AI researchers, data scientists, and agronomy experts on

gender-sensitive research design, data collection, annotation

practices, model evaluation, and bias mitigation.

• Support the development of AI models and advisory systems that

account for gendered access, constraints, and decision-making

contexts.

Women-Focused Advisory and Interventions

• Design and support targeted interventions that improve the

accessibility, relevance, and effectiveness of AI-enabled advisory

services for women smallholder farmers.

• Ensure advisory content, delivery channels, and interaction

modalities reflect women lived realities, constraints, and

information needs.

Monitoring, Evaluation, and Learning (MEL) Integration

• Integrate gender-disaggregated indicators into MEL frameworks

and research protocols.

• Analyze adoption, usage, and outcome data to identify gender

gaps and inform adaptive improvements to research and deployment

strategies.

Capacity Building and Partnerships

• Provide technical guidance and capacity building to

governments, partners, and innovators on gender-responsive AI and

digital agricultural advisory systems.

• Support inclusive pilot design, implementation, and scale-up

strategies in collaboration with national and international

partners

Academic Qualifications Required

• Master’s degree in Computer Science, Computational Science,

Data Science, Applied Mathematics, or a related field.

• PhD or equivalent applied research experience will be

preferred.

Professional Experience Required

Essential:

• Minimum of ten (10) years of progressive experience in

technical assistance, program implementation, or adoption-focused

roles within gender equity & inclusion, development, or

innovation ecosystems.

• Demonstrated experience working with governments and

public-sector institutions, particularly in low- and middle-income

countries.

• Experience leading multidisciplinary teams and managing

complex, multi-country initiatives.

Preferred:

• Exposure to policy engagement, institutional reform, or

national advisory system strengthening.

• Experience working within international research or development

organizations.

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Qualifications

• 10+ years of product management experience, with a strong track record of shipping member-facing products at scale

• 5+ years of experience building AI/ML-driven products, with direct, recent experience working with LLM-powered products — including conversational AI, agentic systems, or multi-agent architectures

• Experience building and scaling agentic AI or multi-agent systems — including familiarity with frameworks like LangGraph, LangSmith, or similar

• Experience leading or mentoring other product managers, with a track record of elevating product craft and strategic thinking across a team

• Strong technical fluency — you can engage deeply with engineering on topics like prompt engineering, evaluation frameworks, agent orchestration, LLM performance, and system architecture

• Best Practice: 3 - 7 PQ’s maximum

• Background in healthcare, digital health, or regulated environments, particularly with FDA-regulated or clinically validated products

• Hands-on comfort with prompt design, evaluation (evals), and LLM safety/guardrails — this role requires you to personally build and iterate, not just manage through others

• Experience driving 0→1 product initiatives that became company-defining capabilities

• Proven ability to influence senior leaders and executives through compelling storytelling and data-backed arguments

• 7 more items(s)

Benefits

• Hinge Health leverages software, including AI, to largely automate care for joint and muscle health, delivering an outstanding member experience, improved member outcomes, and cost reductions for its clients

• Inclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer employees and their family members help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn’t available where you live

• Planning for the future: Start saving for the future with our traditional or Roth 401k retirement plan options which include a 2% company match

• Modern life stipends: Manage your own learning and development

• 1 more items(s)

Responsibilities

• This is a highly visible, zero-to-one role at the intersection of AI, healthcare, and member experience

• You'll define what it means to build a trustworthy, clinically-informed AI companion that accelerates Hinge Health's vision towards automating the delivery of care, and work with a dedicated team to turn that vision into reality

• This role is both hands-on and strategic

• You will directly IC a product area while also serving as the lead for other PMs on the team, coaching and guiding them on product craft, strategy, and execution

• You'll partner deeply with Engineering, ML Scientists, Design, Data Science, Clinical, Legal, and Compliance to ship products that are clinically sound, technically ambitious, and delightful for members

• We provide daily breakfast and lunch for onsite team members

• Define and drive the Robin product strategy: articulating a compelling vision for how agentic AI transforms MSK care delivery — from reactive support to an always-on, adaptive care experience

• Ship high-impact agentic AI capabilities: including multi-agent orchestration, general-purpose health assistance, clinical triage, personalized exercise recommendations, and proactive check-ins — driving measurable improvements in member engagement, satisfaction, and clinical outcomes

• Own company-level metrics tied to Robin's success: including engagement, satisfaction, clinical accuracy, and care team workload reduction — and performance-manage them through rigorous experimentation and iteration

• Own evaluation framework: LLM-as-a-judge, golden datasets and human evals process and tools

• Ensure clinical safety, response quality and member trust

• Lead the transition from point solution to platform: championing Robin as a product-wide lever, empowering other pods to build on Robin's infrastructure, and driving platformization of agentic capabilities

• Serve as the product lead for other PMs on the Intelligent Care team: providing strategic direction, coaching on product craft, and ensuring alignment across product areas

• Navigate regulatory and clinical complexity: partnering with Clinical, Legal, and Compliance to ensure Robin meets the highest standards for AI safety, guardrails, and human oversight

• Stay ahead of the competitive landscape: evaluating competitor products and learning the latest in AI innovation so that Robin can deliver the best technology to our members

• Prior experience collaborating with clinical teams, medical professionals, or subject-matter experts to build safe, effective AI products

• 13 more items(s)

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About the Role

As the Lead Product Manager, Agentic AI on Hinge Health's Intelligent Care team, you will be the driving force behind Robin, our AI Care Assistant that provides members with 24/7 intelligent support throughout their care journey.

You will own the end-to-end product strategy, vision, and execution for Robin's agentic AI capabilities — from conversational care and clinical triage, t...o multi-agent orchestration, personalized exercise recommendations, multi-modal capabilities, and proactive member engagement.

This is a highly visible, zero-to-one role at the intersection of AI, healthcare, and member experience. You'll define what it means to build a trustworthy, clinically-informed AI companion that accelerates Hinge Health's vision towards automating the delivery of care, and work with a dedicated team to turn that vision into reality.

This role is both hands-on and strategic. You will directly IC a product area while also serving as the lead for other PMs on the team, coaching and guiding them on product craft, strategy, and execution. You'll partner deeply with Engineering, ML Scientists, Design, Data Science, Clinical, Legal, and Compliance to ship products that are clinically sound, technically ambitious, and delightful for members.

This is a hybrid role requiring 3 days per week onsite in our San Francisco office. We provide daily breakfast and lunch for onsite team members.

2. What You’ll Accomplish (Outcomes)

• Define and drive the Robin product strategy: articulating a compelling vision for how agentic AI transforms MSK care delivery — from reactive support to an always-on, adaptive care experience.

• Ship high-impact agentic AI capabilities: including multi-agent orchestration, general-purpose health assistance, clinical triage, personalized exercise recommendations, and proactive check-ins — driving measurable improvements in member engagement, satisfaction, and clinical outcomes.

• Own company-level metrics tied to Robin's success: including engagement, satisfaction, clinical accuracy, and care team workload reduction — and performance-manage them through rigorous experimentation and iteration.

• Own evaluation framework: LLM-as-a-judge, golden datasets and human evals process and tools. Ensure clinical safety, response quality and member trust.

• Lead the transition from point solution to platform: championing Robin as a product-wide lever, empowering other pods to build on Robin's infrastructure, and driving platformization of agentic capabilities.

• Serve as the product lead for other PMs on the Intelligent Care team: providing strategic direction, coaching on product craft, and ensuring alignment across product areas.

• Navigate regulatory and clinical complexity: partnering with Clinical, Legal, and Compliance to ensure Robin meets the highest standards for AI safety, guardrails, and human oversight.

• Stay ahead of the competitive landscape: evaluating competitor products and learning the latest in AI innovation so that Robin can deliver the best technology to our members.

3. Basic Qualifications

• 10+ years of product management experience, with a strong track record of shipping member-facing products at scale.

• 5+ years of experience building AI/ML-driven products, with direct, recent experience working with LLM-powered products — including conversational AI, agentic systems, or multi-agent architectures.

• Experience building and scaling agentic AI or multi-agent systems — including familiarity with frameworks like LangGraph, LangSmith, or similar.

• Experience leading or mentoring other product managers, with a track record of elevating product craft and strategic thinking across a team.

• Strong technical fluency — you can engage deeply with engineering on topics like prompt engineering, evaluation frameworks, agent orchestration, LLM performance, and system architecture.

4. Preferred Qualifications

• Best Practice: 3 - 7 PQ’s maximum

• Background in healthcare, digital health, or regulated environments, particularly with FDA-regulated or clinically validated products.

• Prior experience collaborating with clinical teams, medical professionals, or subject-matter experts to build safe, effective AI products.

• Hands-on comfort with prompt design, evaluation (evals), and LLM safety/guardrails — this role requires you to personally build and iterate, not just manage through others.

• Experience driving 0→1 product initiatives that became company-defining capabilities.

• Proven ability to influence senior leaders and executives through compelling storytelling and data-backed arguments.

• Local candidates highly preferred

About Hinge Health

Hinge Health leverages software, including AI, to largely automate care for joint and muscle health, delivering an outstanding member experience, improved member outcomes, and cost reductions for its clients. The company has designed its platform to address a broad spectrum of MSK care—from acute injury, to chronic pain, to post-surgical rehabilitation—and the platform can help to ease members’ pain, improve their function, and reduce their need for surgeries, all while driving health equity by allowing members to engage in their exercise therapy sessions from anywhere. The company is headquartered in San Francisco, California.

Learn more at http://www.hingehealth.com

What You'll Love About Us

• Inclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer employees and their family members help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn’t available where you live.

• Planning for the future: Start saving for the future with our traditional or Roth 401k retirement plan options which include a 2% company match.

• Modern life stipends: Manage your own learning and development

Culture and Engagement

Hinge Health is an equal opportunity employer and prohibits discrimination and harassment of any kind. We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We provide reasonable accommodations for candidates with disabilities. If you feel you need assistance or an accommodation due to a disability, let us know by reaching out to your recruiter. By submitting your application you are acknowledging we are using your personal data as outlined in the personnel and candidate privacy policy.

Beware of Phishing Attempts: We've noticed an increase in phishing where fraudsters impersonate employees and send fake job offers to steal sensitive information. We'll never ask for financial details during the hiring process and only use "@hingehealth.com" emails. If you receive a suspicious offer, stop communication and report it to the US FBI Internet Crime Complaint Center. To verify an email from our recruiting team, forward it to security@hingehealth.com.

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Qualifications

• The ideal candidate will have experience in one or more of the following areas:

• Product delivery, business analysis, or project management

• Work involving AI, automation, or workflow-heavy technology solutions

• Workflow tools, automation capabilities, and chatbot solutions

• Gather and translate business needs into clear product requirements

• 2 more items(s)

Benefits

• This is a long-term contract opportunity that includes a competitive benefit package!

• Solutions developed in partnership with external vendors to support client-facing and banker-facing insights for CIB

Responsibilities

• This role sits within the AI Delivery team, which leads execution of AI and GenAI initiatives across the organization

• The team works closely with technology partners to design and deliver custom AI solutions and also manages delivery of third-party platforms when vendor products are part of the solution

• Delivering technology or data-driven products within a structured or regulated environment

• Requirements writing, process documentation, and stakeholder coordination

• Managing delivery of both internal builds and third-party technology solutions

• Experience contributing to product teams or supporting automation-focused initiatives is highly beneficial

• Tools related to document extraction, document processing, and document generation

• Agency & Workflow

• Facilitate user story workshops and ensure requirements are documented and understood

• Create wireframes and UI/UX mockups to support design discussions

• Support product documentation and backlog refinement

• Delivery & Execution

• Partner with technology teams on custom solution builds

• Coordinate user acceptance testing (UAT) and assist with test planning and execution

• Track delivery timelines, milestones, and risks

• Support rollout planning and stakeholder communication

• Vendor / Third-Party Management

• Manage delivery activities for vendor-supported solutions

• Ensure vendors meet requirements and delivery expectations

• Support onboarding, transition, and operational readiness when external solutions are involved

• Oversee timelines and project management activities associated with vendor workstreams

• 18 more items(s)

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Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Product Analyst - AI Delivery in NYC (Hybrid role)

Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innova...ting in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.

Duration: 6 months, intention to convert

Looking for a Product Analyst or Business Analyst to support the build-out of our banker insights AI platform in the Corporate & Investment Bank (CIB). This role sits within the AI Delivery team, which leads execution of AI and GenAI initiatives across the organization. The team works closely with technology partners to design and deliver custom AI solutions and also manages delivery of third-party platforms when vendor products are part of the solution.

Ideal Candidate Profile

The ideal candidate will have experience in one or more of the following areas:

-Product delivery, business analysis, or project management.

-Work involving AI, automation, or workflow-heavy technology solutions.

-Delivering technology or data-driven products within a structured or regulated environment.

-Requirements writing, process documentation, and stakeholder coordination.

-Managing delivery of both internal builds and third-party technology solutions.

- Experience contributing to product teams or supporting automation-focused initiatives is highly beneficial.

The AI Delivery team focuses on three primary areas:

1. Document Lifecycle

-Tools related to document extraction, document processing, and document generation.

2. Agency & Workflow

-Workflow tools, automation capabilities, and chatbot solutions.

3. Client Insights

-Solutions developed in partnership with external vendors to support client-facing and banker-facing insights for CIB.

Role Responsibilities:

Product & Requirements

-Gather and translate business needs into clear product requirements.

-Facilitate user story workshops and ensure requirements are documented and understood.

-Create wireframes and UI/UX mockups to support design discussions.

-Support product documentation and backlog refinement.

Delivery & Execution

-Partner with technology teams on custom solution builds.

-Coordinate user acceptance testing (UAT) and assist with test planning and execution.

-Track delivery timelines, milestones, and risks.

-Support rollout planning and stakeholder communication.

Vendor / Third-Party Management

-Manage delivery activities for vendor-supported solutions.

-Ensure vendors meet requirements and delivery expectations.

-Support onboarding, transition, and operational readiness when external solutions are involved.

-Oversee timelines and project management activities associated with vendor workstreams.

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Responsibilities:

1.Implement simulation models of AI SoC or subsystem designs

2.Perform computer architecture performance simulation

3.Analyse experimental data and perform architecture explorations

4.Identify bottlenecks in design and provide feedback on micro-architecture

5.Propose chip architecture optimizations for chip performance, power, and area improvement

6.Cross-team collaboration...s to deliver high quality chip products

7.Validate the correctness of the AI chip designs

Qualification:

1.Master degree and above in Electrical & Electronic Engineering, Computer Science or equivalent

2.Familiar with computer architecture, such as AI accelerator, CPU, network-on-chip, memory hierarchy

3.Familiar with C/C++ language

4.Familiar with computer architecture simulation is preferred

5.Strong learning capability, good communication and collaboration skills

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Job description

Core Systems & AI Innovation Lead (L40)

Role Title

Core Systems & AI Innovation Lead

Career Architecture Level: L40

Function: Revenue Operations – Core Systems

Role Type: Senior Individual Contributor / Enterprise Partner

Location: Remote / Hybrid

Role Summary (L40)

The Core Systems & AI Innovation Lead is responsible for shaping, driving, and embedding innovation across core GTM systems, with ...a specific focus on AI‑enabled use cases, automation, and intelligent execution across the revenue lifecycle.

At L40, this role operates as a high‑impact enterprise partner and thought leader, influencing strategy, roadmaps, and adoption outcomes without owning full enterprise accountability. The role focuses on design, prioritisation, and enablement of innovation, working through cross‑functional leaders and delivery teams to ensure solutions are practical, adopted, and value‑driven.

This role bridges business needs, systems capabilities, and AI opportunity, ensuring innovation is grounded in GTM reality and supports execution, productivity, and scale.

Scope & Focus Areas

Core GTM Systems (Influence & Design)

• Lead‑to‑Quote (CRM, seller workflows, demand flow)

• Quote‑to‑Order (CPQ, pricing, approvals, booking)

• Customer Success platforms (post‑sale lifecycle, renewals, expansion)

AI & Intelligent Automation

• Identification and shaping of AI‑enabled use cases embedded in GTM workflows

• Automation, insights, and decision support across seller, manager, and operator experiences

Adoption & Enablement (Partnership‑Driven)

• Influence enablement, learning, and change approaches required for adoption

• Ensure innovation is usable, understandable, and embedded in day‑to‑day work

Key Responsibilities

AI Innovation & Opportunity Identification

• Identify, frame, and prioritise AI and automation opportunities across Sales, Marketing, Customer Success, and RevOps

• Translate business problems into clear innovation use cases with measurable outcomes

• Stay close to emerging AI trends, tools, and risks relevant to GTM systems

Roadmap Shaping & Strategic Influence

• Partner with Core Systems, Enablement, and RevOps leaders to shape roadmaps and priorities

• Contribute to business cases, value hypotheses, and adoption considerations

• Influence sequencing based on business readiness, data maturity, and change impact

Cross‑Functional Partnership

• Act as a connector and integrator across Sales Ops, Marketing Ops, CS Ops, Enablement, RevOps Intelligence, IT/D&T, Finance, and HR

• Translate complex needs into practical, scalable innovation concepts

• Support governance forums with insight, analysis, and recommendations

Adoption, Change & Value Realisation

• Partner with Enablement and Change teams to ensure AI and system innovations are adopted

• Monitor early signals of adoption and usage; surface risks and improvement opportunities

• Help teams understand not just how solutions work, but why they matter

Execution Readiness & Intelligent GTM

• Support readiness for GTM changes (segmentation, forecasting, pricing, compensation) by embedding intelligence and automation into workflows

• Partner with RevOps Intelligence to ensure solutions are data‑informed and insight‑driven

Key Stakeholders

• Core Systems Leadership

• Sales, Marketing & Customer Success Operations

• RevOps Intelligence & Business Architecture

• Enablement & Learning Teams

• IT / Digital & Technology

• Finance, Deal Desk & Compensation

• BU and Regional GTM Leaders

Career Architecture Characteristics (L40)

This role reflects L40 senior enterprise contribution, including:

• Enterprise‑level influence without full functional ownership

• Accountability for shaping outcomes through partnership

• Deep expertise in systems, GTM processes, and AI application

• Focus on value creation, adoption, and execution enablement

• Operates with a medium‑ to long‑term horizon, supporting capability building and innovation maturity

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Qualifications

• Bachelor’s degree in computer science, software development, data science, management science or a related discipline required

• Two years’ experience in work related to AI

• Hands on experience applying AI in everyday work for solving problems or augmenting capacities

• Continuous curiosity of what is next and how it works

• Ability to identify emerging patterns across startups, enterprises, and research to develop novel perspectives on AI innovation and AI R&D

• Ability to analyze complex technical and applied AI challenges and help translate findings into actionable thought leadership, plans, and deliverables

• Strong research, writing, and presentation skills

• Experience in project management, including developing timelines, tracking milestones, and/or coordinating cross-functional teams

• Strong communicator who can translate between technical and executive audiences

• Experience in multicultural, highly collaborative work environments

• Results driven, proactive, self-starter, and team player

• Excellent organizational skills: able to juggle multiple tasks and assignments simultaneously and derive energy from high-pressure and agile work settings

• Excellent command of spoken and written English

• 10 more items(s)

Benefits

• The annual salary range for this role is $80,000-$85,000 in San Francisco

Responsibilities

• The Specialist will have a strong sense of how AI-native solutions can be developed to support high-impact deliverables that showcase recent advancements and real-world applications of AI

• They will bring solid technical acumen with experience in frontier models, agentic systems, AI-native business, and/or operating models, as well as technical community engagement

• The ideal candidate will demonstrate an innovative mindset and a proactive approach to driving impact in a fast-moving environment with highly engaged stakeholders

• *Reporting lines and interactions**

• The Specialist will collaborate closely with technology practice Leads across the Centre for AI Excellence and the AI Global Alliance in particular

• Community building, stakeholder management and delivery of reports and frameworks are considered key aspects of the role

• The role will place the right candidate on the front line of engaging with global leaders driving meaningful change associated with frontier innovation in AI technology

• Help build, manage and maintain an initiative platform that demonstrates leading advancements in AI from frontier model development to applied AI innovation in enterprises

• The platform will target senior executives along with policymakers and the public, conveying knowledge about topics such as AI agents, frontier models, and AI native practices

• Help translate emerging AI capabilities into practical strategic frameworks, insights and implications for enterprises and policymakers

• Analyze technical challenges and help synthesize findings into actionable strategies and deliverables that rethink community engagement

• Collaborate with the Forum’s start-up community to help build impactful innovation programs

• Help drive thought leadership by assisting in producing reports and other outputs that highlight key developments of advanced AI systems

• Help make complex technical and business findings accessible by structuring insights into research roadmaps and frameworks supporting thought leadership

• Stakeholder Engagement

• Support the oversight of community management, fostering meaningful engagement, and promoting diversity of perspectives in discussions and initiatives

• Connect regularly with community members to ensure the initiative drives relevant impact to all stakeholders engaged, as well as the broader audience

• Support the cultivation and maintenance of strategic partnerships with key organizations, governments, and industry leaders to advance the goals of the Centre for AI Excellence

• Help the Initiatives Lead manage and build multistakeholder communities by communicating updates regularly and onboarding the right stakeholders, while supporting working group meetings and leader workshops

• Team and Organization

• Collaborate across working groups and teams to align objectives and enhance synergies between initiatives

• Coordinate meetings, managing logistical, content-related, and communication aspects to ensure alignment and delivery against milestones

• Prepare and organize key materials, including pre-reads, meeting summaries, and technical recommendations

• Develop and maintain initiative plans and timelines, tracking progress and ensuring key milestones are met

• 21 more items(s)

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Job description

Please Note: This role requires the ability to work on site 3 days per week per company policy.

The annual salary range for this role is $80,000-$85,000 in San Francisco.

The World Economic Forum, committed to moving the world forward, is the international organization for public-private cooperation. The Forum engages the foremost political, business and other leaders of society to shape global,... regional and industry agendas.

[The Centre for AI Excellence](https://centres.weforum.org/centre-for-ai-excellence/home) advances the responsible use of AI, data, and digital technologies to serve society, drive industry transformation, and prepare countries and regions for the intelligent era. Our mission is to serve as a future-oriented, global platform to accelerate the responsible application of AI, data, and intelligence for the secure, equitable, and collaborative transformation of industries, economies, and societies, ensuring a net-positive impact for people and the planet.

• *Why we are recruiting**

We are seeking a **Frontier AI and Innovation Specialist** in our San Francisco office to help build and advance the most technical initiatives for our Centre.

This role requires knowledge of recent developments in AI, particularly in domains such as AI agents, large language and world models. The Specialist will focus on building, managing, and activating a platform that convenes two core communities of AI executive leaders and innovators across startups, industry, government, and academia, with the goal of deepening collaboration across the ecosystem through insights, high-impact convenings, and outcome-driven programs.

The Specialist will have a strong sense of how AI-native solutions can be developed to support high-impact deliverables that showcase recent advancements and real-world applications of AI. They will bring solid technical acumen with experience in frontier models, agentic systems, AI-native business, and/or operating models, as well as technical community engagement. The ideal candidate will demonstrate an innovative mindset and a proactive approach to driving impact in a fast-moving environment with highly engaged stakeholders.

• *Reporting lines and interactions**

The Specialist will collaborate closely with technology practice Leads across the Centre for AI Excellence and the AI Global Alliance in particular. Community building, stakeholder management and delivery of reports and frameworks are considered key aspects of the role. The role will place the right candidate on the front line of engaging with global leaders driving meaningful change associated with frontier innovation in AI technology.

• *Duties and Responsibilities**

Technology and Innovation

- Help build, manage and maintain an initiative platform that demonstrates leading advancements in AI from frontier model development to applied AI innovation in enterprises. The platform will target senior executives along with policymakers and the public, conveying knowledge about topics such as AI agents, frontier models, and AI native practices.

- Help translate emerging AI capabilities into practical strategic frameworks, insights and implications for enterprises and policymakers.

- Analyze technical challenges and help synthesize findings into actionable strategies and deliverables that rethink community engagement.

- Collaborate with the Forum’s start-up community to help build impactful innovation programs.

- Help drive thought leadership by assisting in producing reports and other outputs that highlight key developments of advanced AI systems.

- Help make complex technical and business findings accessible by structuring insights into research roadmaps and frameworks supporting thought leadership.

Stakeholder Engagement

- Support the oversight of community management, fostering meaningful engagement, and promoting diversity of perspectives in discussions and initiatives.

- Connect regularly with community members to ensure the initiative drives relevant impact to all stakeholders engaged, as well as the broader audience.

- Support the cultivation and maintenance of strategic partnerships with key organizations, governments, and industry leaders to advance the goals of the Centre for AI Excellence.

- Help the Initiatives Lead manage and build multistakeholder communities by communicating updates regularly and onboarding the right stakeholders, while supporting working group meetings and leader workshops.

Team and Organization

- Collaborate across working groups and teams to align objectives and enhance synergies between initiatives.

- Coordinate meetings, managing logistical, content-related, and communication aspects to ensure alignment and delivery against milestones.

- Prepare and organize key materials, including pre-reads, meeting summaries, and technical recommendations.

- Develop and maintain initiative plans and timelines, tracking progress and ensuring key milestones are met.

• *Qualifications and Skills:**

- Bachelor’s degree in computer science, software development, data science, management science or a related discipline required. A master’s degree in artificial intelligence or a similar field is a plus.

- Exposure to building software or other emerging technologies is a plus.

- Two years’ experience in work related to AI.

- Experience working with Salesforce, interactive dashboards and solutions for engagement preferred.

- Hands on experience applying AI in everyday work for solving problems or augmenting capacities. Continuous curiosity of what is next and how it works.

- Ability to identify emerging patterns across startups, enterprises, and research to develop novel perspectives on AI innovation and AI R&D.

- Ability to analyze complex technical and applied AI challenges and help translate findings into actionable thought leadership, plans, and deliverables.

- Strong research, writing, and presentation skills.

- Experience in community management and engaging with stakeholders across industries, cultures, and seniority levels preferred.

- Experience in project management, including developing timelines, tracking milestones, and/or coordinating cross-functional teams.

- Strong communicator who can translate between technical and executive audiences.

- Experience in multicultural, highly collaborative work environments.

- Results driven, proactive, self-starter, and team player.

- Excellent organizational skills: able to juggle multiple tasks and assignments simultaneously and derive energy from high-pressure and agile work settings.

- Excellent command of spoken and written English. Proficiency in other languages is a plus.

• *Why work at the Forum:**

The Forum believes that progress happens by bringing together people from all walks of life who have the drive and the influence to improve the state of the world by building awareness and cooperation, shaping mindsets and agendas, and driving collective action. Join us and become a driver for positive change!

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Qualifications

• Backend infrastructure, SRE, or DevOps engineering experience

• Experience shipping production-grade software for enterprise customers

• Hands-on with cloud infrastructure (AWS, GCP, or Azure)

• Startup or VC-backed company experience

• Comfortable owning systems end-to-end with minimal oversight

• This is a hands-on infrastructure and AI deployment role — not suitable for pure data science or ML research profiles

• You must be comfortable owning reliability, security, and deployment in a fast-moving enterprise environment

• Some customer-facing work is required to understand and support deployments

• Strong backend infrastructure or SRE/DevOps engineering background

• Experience building and owning secure, multi-tenant production infrastructure

• Expertise with a major cloud provider (AWS, GCP, or Azure)

• Ability to work independently across ambiguous, high-stakes environments

• Startup mindset - scrappy, high-energy, and able to move fast

• 1–5 years of professional software engineering experience

• Experience deploying or managing production AI agents

• Familiarity with enterprise security practices (SOC 2 readiness etc.)

• Background in VC-backed startup environments

• Full-stack engineering exposure (TypeScript, Python, Next.js, React)

• CI/CD ownership and reliability engineering at scale

• Design and build secure, multi-tenant cloud infrastructure for enterprise customers from the ground up

• Own CI/CD pipelines, cloud-native deployment, reliability, and enterprise-grade security

• Build and maintain isolated environments with data separation, access controls, and audit trails

• A high-agency engineer who thrives under pressure and owns outcomes fully

• Someone who can operate at founding engineer level - not just execute, but shape direction

• A builder who is energised by working on hard, real-world problems with massive stakes

• An engineer who can work late when it matters and adapt fast to customer needs

• 23 more items(s)

Benefits

• Salary: $150,000 – $225,000 + 1–2% equity

• Contract: Permanent

Responsibilities

• High autonomy expected — you design, build, ship, and iterate fast

• AI Agent Deployment

• Deploy and manage production AI agents that own real developer workflows end-to-end

• Build agent-based systems capable of running long-lived, stateful workflows including document ingestion and retrieval pipelines

• Work directly with the founding team to shape product direction

• Build internal tooling that accelerates development speed

• Play a key role in how the engineering function is built and scaled

• 4 more items(s)

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Job description

Founding Engineer | Backend Infrastructure / AI Agents | TypeScript | Python | Must have startup experience

Salary: $150,000 – $225,000 + 1–2% equity

Contract: Permanent

Location: San Francisco (Remote then Hybrid – 2/3 days onsite once office is established)

Eligibility: US Residents Only

🚨 Please only apply if you have ALL of the following 🚨

• Backend infrastructure, SRE, or DevOps engine...ering experience

• Experience shipping production-grade software for enterprise customers

• Hands-on with cloud infrastructure (AWS, GCP, or Azure)

• Startup or VC-backed company experience

• Comfortable owning systems end-to-end with minimal oversight

🚀 Join a hyper-growth AI company tackling one of the largest, least-modernised industries on the planet - an industry responsible for trillions in annual spending that has barely been touched by software. This team builds AI-powered tooling that compresses months of complex, high-stakes workflows into hours for some of the biggest enterprise organisations in North America. They've just posted staggering revenue growth and are moving fast.

The founding team has serious pedigree - a repeat founder with a major exit, a former tech lead at one of the world's leading AI research divisions, and an operator with billions in project delivery under their belt. These are people who know how to build and how to win.

You'll be the second engineer in. High ownership. High impact. This is a genuine founding engineer opportunity.

ℹ️ Very Important Notes

• This is a hands-on infrastructure and AI deployment role — not suitable for pure data science or ML research profiles

• You must be comfortable owning reliability, security, and deployment in a fast-moving enterprise environment

• Some customer-facing work is required to understand and support deployments

• High autonomy expected — you design, build, ship, and iterate fast

Must-Haves

• Strong backend infrastructure or SRE/DevOps engineering background

• Experience building and owning secure, multi-tenant production infrastructure

• Expertise with a major cloud provider (AWS, GCP, or Azure)

• Ability to work independently across ambiguous, high-stakes environments

• Startup mindset - scrappy, high-energy, and able to move fast

• 1–5 years of professional software engineering experience

Bonus Experience

• Experience deploying or managing production AI agents

• Familiarity with enterprise security practices (SOC 2 readiness etc.)

• Background in VC-backed startup environments

• Full-stack engineering exposure (TypeScript, Python, Next.js, React)

• CI/CD ownership and reliability engineering at scale

What You'll Be Doing

Infrastructure Ownership

• Design and build secure, multi-tenant cloud infrastructure for enterprise customers from the ground up

• Own CI/CD pipelines, cloud-native deployment, reliability, and enterprise-grade security

• Build and maintain isolated environments with data separation, access controls, and audit trails

AI Agent Deployment

• * Deploy and manage production AI agents that own real developer workflows end-to-end

• Build agent-based systems capable of running long-lived, stateful workflows including document ingestion and retrieval pipelines

Founding Contributions

• Work directly with the founding team to shape product direction

• Build internal tooling that accelerates development speed

• Play a key role in how the engineering function is built and scaled

What They're Looking For

• A high-agency engineer who thrives under pressure and owns outcomes fully

• Someone who can operate at founding engineer level - not just execute, but shape direction

• A builder who is energised by working on hard, real-world problems with massive stakes

• An engineer who can work late when it matters and adapt fast to customer needs

If you meet the above requirements and want to join one of the most exciting early-stage teams in enterprise AI, get in touch for a fast response.

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Qualifications

• Advanced degree (master’s or PhD) in a quantitative or spatial discipline such as Computer Science, Statistics, Machine Learning, Operations Research, Applied Mathematics, or Geography, or a related field

• 10+ years of hands-on experience in developing and deploying advanced AI/ML models, with 5+ years in a technical leadership or people management role

• Documented expertise in one or more of the following: geospatial analytics and spatial statistics, graph neural networks and network science, optimization and operations research, or advanced machine learning methods applied to location strategy or network design problems

• Exceptional communication skills and high emotional intelligence, with the ability to translate technical complexity into business language and earn stakeholders’ trust

• Demonstrated leadership in building and mentoring high-performing technical teams

• Rigorous statistical thinking, including the ability to interrogate a model's assumptions, defend its methodology under scrutiny from quantitative and non-quantitative audiences alike, and anticipate its behavior under different scenarios

• 3 more items(s)

Responsibilities

• As an Applied AI Modeling Executive Director in Branch Network Modeling team, you lead a team of AI/ML scientists who build advanced geospatial, graph-based, and network optimization models that directly shape Chase's branch network strategy, including where to open, relocate, or reformat branches

• You will be the face of your team's models in high-stakes conversations with senior leaders across Real Estate, Finance, and Market Strategy, as well as with Governance and Compliance stakeholders

• Your success will be measured not only by the technical sophistication of your models, but by whether those models earn the trust of the business and change how decisions are made

• Build and lead a high-performing team of AI/ML scientists focused on geospatial and graph-based AI modeling in support of Chase's branch network — providing development plans, structured growth opportunities, and visibility to senior stakeholders that position your team members for long-term career success

• Partner with Real Estate, Finance, and Market Strategy stakeholders to understand their decision-making processes, break down silos between technical and business teams, and enable them to draw maximum benefit from AI/ML models

• Partner closely with Product, Data, and Engineering teams to translate modeling innovations into scalable, production-ready solutions

• Lead emerging AI talent in research and adoption of cutting-edge AI techniques, ensuring the right balance between methodological rigor, speed to market, and practical business impact

• Establish best practices for geospatial model development and cloud-native deployment, ensuring compliance with governance and regulatory expectations

• Oversee rigorous validation, documentation, and monitoring of models, proactively identifying risks and ensuring adherence to internal and external standards while coaching the team to carry these standards into future leadership role

• 6 more items(s)

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Job description

Our Branch Network Modeling team develops advanced analytics and machine learning solutions that inform high-impact decisions across physical location strategy and field workforce effectiveness.

As an Applied AI Modeling Executive Director in Branch Network Modeling team, you lead a team of AI/ML scientists who build advanced geospatial, graph-based, and network optimization models that directly ...shape Chase's branch network strategy, including where to open, relocate, or reformat branches. You will be the face of your team's models in high-stakes conversations with senior leaders across Real Estate, Finance, and Market Strategy, as well as with Governance and Compliance stakeholders. Your success will be measured not only by the technical sophistication of your models, but by whether those models earn the trust of the business and change how decisions are made.

Job responsibilities

• Build and lead a high-performing team of AI/ML scientists focused on geospatial and graph-based AI modeling in support of Chase's branch network — providing development plans, structured growth opportunities, and visibility to senior stakeholders that position your team members for long-term career success.

• Partner with Real Estate, Finance, and Market Strategy stakeholders to understand their decision-making processes, break down silos between technical and business teams, and enable them to draw maximum benefit from AI/ML models.

• Partner closely with Product, Data, and Engineering teams to translate modeling innovations into scalable, production-ready solutions.

• Lead emerging AI talent in research and adoption of cutting-edge AI techniques, ensuring the right balance between methodological rigor, speed to market, and practical business impact.

• Establish best practices for geospatial model development and cloud-native deployment, ensuring compliance with governance and regulatory expectations.

• Oversee rigorous validation, documentation, and monitoring of models, proactively identifying risks and ensuring adherence to internal and external standards while coaching the team to carry these standards into future leadership role

Required qualifications, capabilities, and skills

• Advanced degree (master’s or PhD) in a quantitative or spatial discipline such as Computer Science, Statistics, Machine Learning, Operations Research, Applied Mathematics, or Geography, or a related field.

• 10+ years of hands-on experience in developing and deploying advanced AI/ML models, with 5+ years in a technical leadership or people management role.

• Documented expertise in one or more of the following: geospatial analytics and spatial statistics, graph neural networks and network science, optimization and operations research, or advanced machine learning methods applied to location strategy or network design problems.

• Exceptional communication skills and high emotional intelligence, with the ability to translate technical complexity into business language and earn stakeholders’ trust.

• Demonstrated leadership in building and mentoring high-performing technical teams.

• Rigorous statistical thinking, including the ability to interrogate a model's assumptions, defend its methodology under scrutiny from quantitative and non-quantitative audiences alike, and anticipate its behavior under different scenarios.

Preferred qualifications, capabilities, and skills

• Hold a PhD in a relevant discipline.

• Experience with geospatial tools and libraries (e.g., GeoPandas, PySAL, H3, Esri/ArcGIS) and/or graph ML frameworks (e.g., PyTorch Geometric, DGL, NetworkX).

• Experience with geospatial data and tooling including, but not limited to: ArcGIS, Carto, Wherobots, or QGIS.

• Experience with facility location problems, trade area modeling, network design, or spatial optimization in retail, logistics, real estate, or financial services.

• Contributions to applied research in geospatial AI, graph ML, network optimization, or spatial statistics, whether through publications in peer-reviewed journals, patents, or industry presentations.

• Background in financial services, consumer banking, or a regulated industry with model risk management expectations.

• Experience managing stakeholder relationships with non-technical senior leaders in functions such as Real Estate, Finance, or Strategy.

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Job description

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.

Participation is project-based, not permanent employment.

About the Role As a Procurement & Supply Chain Expert on this project, you will design realistic disruption scenarios based on your hands-on experience, define expected outcomes and mitigati...on strategies, and evaluate AI-generated recommendations for accuracy, completeness, and business relevance.

What this opportunity involves While each project involves unique tasks, contributors may: Designing realistic supply chain disruption scenarios (e.

g. supplier delays, quantity changes, logistics issues, quality failures) grounded in real-world manufacturing and procurement contexts Defining expected outcomes and appropriate mitigation strategies for each scenario Evaluating AI-generated responses and recommendations against real-world business logic Assessing outputs for accuracy, completeness, and relevance within ERP environments (particularly Microsoft Dynamics 365, Coupa, Jaggaer, Ariba (SAP)) Contributing to structured data creation and validation tasks following defined guidelines and frameworks What we look for Minimum 4 years of hands-on experience in procurement, supply chain, or purchasing, ideally in a manufacturing environment Strong working knowledge of procurement workflows: purchase orders, vendor management, inventory, and production planning Hands-on experience with ERP systems such as SAP, Oracle, or Microsoft Dynamics 365 Proven ability to design and reason through supply chain disruption scenarios and mitigation approaches Solid understanding of disruption types: delays, shortages, quality issues, and logistics challenges Knowledge of Incoterms and transportation/logistics management Familiarity with BOM structures and production planning processes Experience with supplier performance metrics (OTIF, lead times, quality scores) Analytical mindset with the ability to assess AI outputs against real-world business logic Experience with data validation, structured data entry, or annotation tasks Clear written communication in English How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements.

This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise.

Please note that other projects on the platform may offer different earning levels based on their requirements.

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Data Scientist (AI Implementation) - Malaysian

Zero to AI Engineer