About HUMAIN

HUMAIN, a PIF company, is a global artificial intelligence company delivering full-stack AI capabilities across four core areas - next-generation data centers, hyper-performance infrastructure & cloud platforms, advanced AI Models, including the world's most advanced Arabic LLMs built in the Arab world, and transformative AI Solutions that combine deep sector insight with real-world execution.

HUMAIN's end-to-end model serves both public and private sector organizations, unlocking exponential value across all industries, driving transformation and strengthening capabilities through human-AI synergies. With a growing portfolio of sector-specific AI products and a core mission to drive IP leadership and talent supremacy world-wide, HUMAIN is engineered for global competitiveness and national distinction.

Minimum Qualifications & Experience:

- Bachelor's degree in Business Administration, Engineering, Information Technology, or a related field.

- 12+ years of progressive experience in delivery, professional services, program management, or customer-facing operations within technology or digital services environments.

- 5+ years of leadership experience managing multi-team service delivery functions with accountability for financial performance and stakeholder engagement.

- Proven experience owning or influencing services revenue, margin, cash collection, and customer success performance across complex portfolios.

- Demonstrated experience managing enterprise customers and leading large-scale delivery engagements within the Resources & Energy sector or comparable industry environments.

Preferred:

- Master's degree in Business Administration, Engineering, or a related discipline.

- Professional certification in project or program management such as PMP, PgMP, PRINCE2, or equivalent.

- Experience in AI, data, cloud, or digital transformation services delivery.

- Experience operating in a large, matrixed enterprise environment.

Knowledge & Skills:

- Strong leadership capability in delivery management, professional services operations, and cross-functional team direction.

- Advanced commercial acumen including revenue management, budgeting, margin control, and cash collection oversight.

- Strong knowledge of customer success frameworks, service performance management, and enterprise stakeholder engagement.

- Advanced understanding of project and program governance, risk management, and portfolio reporting.

- Strong negotiation, escalation management, and customer relationship management skills.

- Ability to develop operating models, service methodologies, and performance controls for scalable delivery.

- Strong analytical and decision-making skills with the ability to interpret operational and financial data.

- Excellent communication and executive presentation skills.

Civil Engineer

Job Type: Contractor

Location: Remote

Job Overview

We are seeking experienced Civil Engineers to contribute to a high-impact project focused on advancing AI evaluation. You will apply your engineering expertise to create realistic technical scenarios, develop accurate solutions, and evaluate AI-generated engineering outputs.

No Prior AI Experience Is Required.

Key Responsibilities

- Create realistic civil engineering evaluation tasks covering structural design, transportation, water systems, and site development.

- Develop and curate technical materials such as engineering drawings, geotechnical reports, specifications, cost estimates, and code references.

- Create complex problems requiring constraint reasoning and code compliance.

- Determine accurate engineering solutions while considering applicable technical and regulatory requirements.

- Develop detailed evaluation rubrics assessing technical accuracy and code adherence.

- Create and validate realistic CSVs, PDFs, spreadsheets, and engineering datasets.

- Collaborate with project teams to improve task quality, clarity, and realism.

Required Skills

- Code Compliance

- Civil Engineering

- Technical Documentation

- Constraint Reasoning

- Engineering Design

- Regulatory Code Interpretation

- Technical Analysis

- Engineering Documentation

- Data Validation

Preferred Qualifications

- 5+ years of professional civil engineering experience across relevant project types.

- PE license or active pursuit of licensure strongly preferred.

- Strong experience preparing technical documentation, design specifications, and compliance materials.

- Ability to interpret regulatory codes and incorporate requirements into engineering solutions.

- Experience reviewing engineering drawings, reports, datasets, and other technical artifacts.

- Strong ability to reason through complex engineering constraints.

- Excellent written communication and documentation skills.

Compensation & Availability

Compensation is output-based, with payment per approved task. Minimum weekly submission requirements apply.

Selected experts should be ready to begin their first tasks within 24–48 hours of completing onboarding. Roles are typically filled within 48 hours.

Screening Questions

- How many years of professional civil engineering experience do you have?

- Which civil engineering domains do you specialize in?

- Do you hold a PE license or are you pursuing licensure?

- What experience do you have with engineering codes and compliance requirements?

- Have you created or reviewed engineering drawings, reports, specifications, or datasets?

- Are you comfortable developing complex technical evaluation tasks and rubrics?

- How soon can you start?

At Lumenalta, we partner with forward-thinking organizations to build technology solutions that scale, delight users, and accelerate business growth. Our global teams bring curiosity, commitment, and technical excellence to every project. We value transparency, autonomy, and impact—empowering every team member to do their best work.

We’re seeking experienced AI Engineers to join a high-growth fintech prospect focused on back-office workflow automation. This role is an opportunity to design and deploy production-grade AI systems for community banks, mortgage, and insurance institutions while shaping a flexible, modern architecture alongside an accomplished executive team.

What You’ll Be Doing

- Design, build, and deploy AI models into production (not just prototypes or wrappers).

- Develop and maintain backend Python services that power intelligent automation workflows.

- Implement enterprise-scale data pipelines for ingesting and processing financial and regulatory documents, with automated data quality checks and monitoring.

- Train and optimize models on banking rules, compliance standards, and regulatory datasets.

- Build intelligent routing systems (e.g., auto-approval for simple loans/accounts, escalation to humans for complex cases).

- Collaborate with engineering leadership to shape architecture, delivery models, and stack decisions.

- Ensure compliance-first design, embedding regulatory considerations into every product feature.

What We’re Looking For

- Experience: 3–5+ years in AI/ML engineering with a track record of deploying AI into production at scale.

- Technical Skills: Strong backend Python; expertise with ML frameworks (TensorFlow, PyTorch, Scikit-Learn, etc.); familiarity with modern data pipeline tools (Airflow, Spark, Kafka) and workflow orchestration frameworks such as n8n or LangGraph.

- Applied AI: Background in enterprise applications such as chatbots, workflow automation, RAG pipelines, or intelligent document processing.

- Domain Awareness: Understanding of regulated industries (financial services, insurance, or similar) with the ability to design compliance-aligned models.

- Collaboration: Comfortable working with a lean, high-performing team and influencing technical direction.

- Adaptability: Excels in startup-like environments with flexible, evolving tech stacks.

Why Lumenalta is an amazing place to work at

At Lumenalta, you can expect that you will:

- Be 100% dedicated to one project at a time so that you can innovate and grow.

- Be a part of a team of talented and friendly senior-level developers.

- Work on projects that allow you to use leading tech.

The job is 100% Remote; please ensure you have a comfortable office set at your desired work location.

Salary

Salary range: CA$70,000 - CA$200,000 annually, with final compensation determined by your qualifications, expertise, experience, and the role's scope.

Location:

This is a fully remote position; however, candidates must be based in regions that align with the Pacific, Central, or Eastern U.S. time zones to ensure effective collaboration with client and team schedules.

Benefits

In addition to competitive pay, we offer a variety of benefits to support your professional and personal growth, including:

- Flexible working hours in a remote environment.

- Health insurance (medical and dental) for T4 Employees.

- A professional development fund to enhance your skills and knowledge.

- 15 days of paid time off annually.

- Access to soft-skill development courses to further your career.

Position Details

This is a full-time position requiring a minimum of 40 hours per week, Monday through Friday.

Application Deadline

Applications will be accepted until September 6, 2026. Candidates can expect feedback by September 14, 2026.

Our client is a large-scale regulated technology platform in Hong Kong seeking a Platform Engineering Lead / AI Platform Lead to drive enterprise AI platform strategy, architecture, governance, and delivery. This role will lead the design and implementation of scalable, secure, and reliable AI platforms, including LLMs, RAG, agentic workflows, LLMOps / AgentOps standards, and AI-assisted engineering practices.

The successful candidate will work closely with technology leadership, engineering teams, security, governance, and business stakeholders to shape the organisation’s AI roadmap, uplift software engineering productivity, and ensure responsible AI adoption across the enterprise.

Key Responsibilities

AI Strategy & Platform Roadmap

- Define and execute the enterprise AI strategy and roadmap, aligning AI platform initiatives with business objectives and digital transformation priorities.

- Evaluate emerging AI technologies, platforms, and third-party solutions to identify opportunities for innovation, efficiency, and competitive advantage.

- Champion the adoption of AI-assisted software engineering practices to enhance delivery agility and engineering productivity.

AI Platform Architecture & Engineering

- Design, develop, and oversee the implementation of scalable, secure, and reliable AI platforms to support enterprise use cases and agent integration.

- Lead the deployment of advanced AI components including Large Language Models (LLMs), RAG, and agentic workflows.

- Build robust backend systems, application platforms, APIs, and integration patterns to support enterprise-grade AI solutions.

AI-assisted Development & Developer Productivity

- Develop and integrate AI-assisted tools, such as MCP platforms and AI-powered development workflows, into existing software engineering processes.

- Establish best practices for AI-assisted coding, testing, deployment, and developer workflows.

- Improve engineering productivity by enabling practical, controlled, and secure AI tooling adoption across development teams.

LLMOps, AgentOps & Production Reliability

- Establish and maintain LLMOps and AgentOps standards covering model lifecycle management, deployment, monitoring, observability, and quality assurance.

- Implement monitoring and performance controls to ensure AI solutions remain reliable, scalable, and production-ready.

- Drive continuous improvement in platform stability, operational efficiency, and service quality.

Responsible AI Governance & Architecture Standards

- Define enterprise architecture standards, design patterns, and governance frameworks for responsible AI adoption.

- Lead governance forums to ensure AI solutions comply with cybersecurity, regulatory, ethical, data protection, and explainability requirements.

- Establish secure AI deployment standards, model governance practices, and control frameworks for enterprise adoption.

Vendor Evaluation & Stakeholder Engagement

- Evaluate and recommend AI platforms, tools, and third-party solutions.

- Support vendor due diligence and technology assessment activities.

- Partner with senior leadership, business units, and engineering teams to prioritise AI initiatives and promote AI literacy across the organisation.

Requirements

- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related discipline.

- Master’s degree in AI, Machine Learning, Data Science, or a related field is preferred.

- Around 10+ years of experience in software engineering, platform engineering, or solution architecture.

- At least 3+ years of hands-on experience in AI, Machine Learning, or Generative AI.

- Proven track record delivering enterprise-grade AI solutions in regulated or large-scale corporate environments.

- Deep hands-on experience with Generative AI, including LLMs, RAG, agentic workflows, and prompt engineering.

- Strong software engineering capability with technologies such as Python, Java, RESTful APIs, and microservices.

- Solid experience designing scalable, secure, and reliable enterprise architectures.

- Familiarity with cloud platforms, LLMOps, AI platform operations, and production-grade backend / application platform design.

- Demonstrated experience establishing AI governance, production monitoring, secure AI deployment standards, model governance, data security, and compliance controls.

- Strong communication and stakeholder influencing skills, including the ability to engage senior stakeholders.

- Self-motivated, hands-on, and passionate about building reliable, scalable, and responsible AI platforms.

Preferred

- Experience in fintech, financial services, regulated technology, or large enterprise environments.

- Exposure to AI-assisted software development, MCP platforms, enterprise developer productivity tools, or AI engineering governance.

- Experience leading architecture forums, technology standards, platform governance, or cross-functional AI delivery initiatives.

Client Engagement Manager – Data & AI

CEREBRUM | Qatar

About the Role

CEREBRUM is looking for a Client Engagement Manager – Data & AI to manage and grow relationships with our strategic customers across our Data, Analytics, Artificial Intelligence, and Digital Transformation portfolio.

This role sits at the intersection of client relationship management, consulting, delivery coordination, and account growth. The Client Engagement Manager will act as a trusted point of contact for assigned customers, ensuring that engagements remain aligned with business priorities, deliver measurable value, and evolve into long-term partnerships.

This is not a traditional sales role, nor is it a pure project management role. We are looking for someone who can understand the client’s business, engage senior stakeholders, coordinate internal teams, manage expectations, and identify opportunities where CEREBRUM can create additional value.

Fluency in Arabic and English is required, with the ability to confidently lead business discussions, presentations, workshops, and executive engagements in both languages.

Key Responsibilities

Client Relationship Management

- Own and develop relationships with assigned strategic clients.

- Build trusted relationships with executives, business leaders, CIOs, CTOs, Chief Data Officers, digital transformation teams, and other key stakeholders.

- Develop a strong understanding of each client’s organization, strategic priorities, challenges, transformation programs, and technology landscape.

- Maintain regular engagement with clients through account meetings, project reviews, executive discussions, and strategic workshops.

- Act as the primary point of coordination between the client and CEREBRUM.

Engagement & Value Management

- Ensure that CEREBRUM engagements remain aligned with the client’s business objectives and expected outcomes.

- Work closely with delivery managers, consultants, solution architects, and technical teams to maintain strong engagement quality.

- Monitor client satisfaction, engagement health, delivery progress, risks, dependencies, and key commitments.

- Proactively identify potential concerns and coordinate the appropriate teams to address them.

- Help clients understand the business value generated through CEREBRUM solutions and services.

- Support the definition and tracking of engagement objectives, KPIs, and success measures.

Account Growth & Opportunity Development

- Identify opportunities to expand CEREBRUM’s relationship within existing client accounts.

- Understand upcoming initiatives, strategic priorities, budget cycles, and transformation programs.

- Identify relevant opportunities across areas such as:

- Data Strategy & Governance

- Data Platforms & Data Warehousing

- Business Intelligence & Executive Analytics

- Artificial Intelligence & Generative AI

- AI Strategy, Governance & Adoption

- AI-powered Applications and Platforms

- Process Automation

- Managed Data & Analytics Services

- Work with sales, consulting, and pre-sales teams to qualify and develop new opportunities.

- Support account planning and contribute to account growth targets.

- Identify opportunities for new projects, managed services, renewals, and additional use cases.

Delivery Coordination

- Maintain visibility across active projects and engagements within assigned accounts.

- Work closely with project and delivery teams to ensure that client expectations and priorities are clearly understood.

- Participate in governance meetings, steering committees, and executive reviews where required.

- Support the resolution of escalations and ensure that issues are addressed in a timely and professional manner.

- Ensure smooth transitions from sales to delivery and from project completion into ongoing client engagement.

- Coordinate across CEREBRUM teams to ensure a consistent and high-quality client experience.

Strategic & Executive Engagement

- Conduct periodic executive business reviews with key client stakeholders.

- Present engagement progress, outcomes, business value, key risks, recommendations, and future opportunities.

- Facilitate strategic discussions around Data, AI, analytics, and digital transformation.

- Help clients identify new use cases where Data & AI can support their business objectives.

- Represent CEREBRUM in client meetings, workshops, events, and executive engagements.

What We’re Looking For

- Fluent Arabic and English communication skills are mandatory.

- Proven experience in Client Engagement, Account Management, Customer Success, Technology Consulting, Enterprise Sales, Program Management, or a similar client-facing role.

- Experience working with enterprise or government customers.

- Strong understanding of complex technology and digital transformation engagements.

- Ability to understand business challenges and connect them with relevant technology and consulting solutions.

- Strong executive presence and stakeholder-management skills.

- Excellent communication, presentation, facilitation, and negotiation capabilities.

- Ability to manage multiple clients, engagements, and priorities simultaneously.

- Strong problem-solving skills and the ability to coordinate across commercial, consulting, technical, and delivery teams.

- Commercial awareness and the ability to identify account-growth opportunities while maintaining a trusted-advisor relationship.

- Proactive, structured, accountable, and comfortable working in a growing consulting environment.

Preferred Experience

- Experience within Data, Analytics, Artificial Intelligence, Cloud, Digital Transformation, or Enterprise Applications.

- Familiarity with technologies such as Microsoft Azure, Power BI, Microsoft Fabric, Databricks, Power Platform, and Generative AI.

- Existing experience working with government and large enterprise organizations in Qatar or the GCC.

- Experience managing strategic accounts involving multiple concurrent projects or workstreams.

- Experience conducting executive business reviews, account planning, and client success reviews.

- Previous experience within a consulting firm, systems integrator, cloud provider, or enterprise technology company is an advantage.

What Success Looks Like

Success in this role means that clients see CEREBRUM not simply as a technology provider, but as a trusted strategic partner.

The Client Engagement Manager should be able to:

Understand the Client → Build Trust → Align on Outcomes → Coordinate Delivery → Demonstrate Value → Identify What’s Next → Grow the Partnership

Key indicators of success include:

- Strong client satisfaction and executive relationships.

- Healthy and well-managed client engagements.

- Successful delivery and adoption of CEREBRUM solutions.

- Early identification and resolution of risks or concerns.

- Increased engagement across client departments and stakeholders.

- Follow-on projects, renewals, and managed-service opportunities.

- Sustainable growth of strategic accounts.

Job Summary We are looking for a motivated and tech-savvy AI Support Assistant to support day-to-day business activities using AI tools, digital platforms, and general administrative systems . The ideal candidate should be comfortable using computers, have an interest in artificial intelligence, and be able to learn new AI applications quickly. The role will support the team with AI-assisted content, research, data organization, documentation, and routine administrative tasks. Key Responsibilities Use AI tools to assist with daily business and administrative tasks. Create and format documents, reports, emails, and basic content using AI. Conduct online research and summarize relevant information. Assist with data entry, record keeping, and file organization. Support staff in using approved AI tools effectively. Prepare presentations, spreadsheets, and other business documents. Assist with basic social media and digital content when required. Maintain accurate digital records and organized files. Identify opportunities to improve routine tasks using AI and automation tools. Handle company information professionally and confidentially. Good knowledge of computers and digital applications.Familiarity with ChatGPT or similar AI tools is preferred.Basic knowledge of Microsoft Office / Google Workspace.Good written and verbal English communication skills.Ability to research information online and prepare clear summaries.Fast learner with a strong interest in AI and technology .Good attention to detail and organizational skills.Ability to follow instructions and work independently.Professional, responsible, and willing to learn new systems.

About the Team

OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.

About the Role

We’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us. In this role, you’ll work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in one of the fastest-moving environments in technology. As AI adoption rapidly accelerates, the work you do will directly support mission-critical systems being built on OpenAI’s platform, serving as a critical line of defense for customers operating at massive scale.

Beyond resolving technical issues, you’ll help define what world-class support looks like in an AGI-driven future. You’ll partner closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technology to transform how support operates at scale.

This role is based remotely in Toronto, Canada.

In this role, you will:

- Work directly with customers to troubleshoot and resolve their most complex technical issues, including API failures, integration challenges, authentication errors, and production incidents. Providing end-to-end ownership through debugging logs, analyzing system behavior, reproducing issues, and delivering expert guidance.

- Become a trusted expert on OpenAI’s products and platform, serving as a go-to resource for complex technical issues.

- Serve as a critical escalation point and line of defense for complex technical issues, partnering closely with customers and Engineering teams to troubleshoot, resolve, and proactively prevent recurring problems while leveraging scripting and emerging AI capabilities to improve internal tooling and automate operational workflows.

- Take learnings from resolving customer issues and creating our approach to scaling these solutions, partnering with Product and Go-To-Market teams.

- Drive operational excellence by identifying opportunities for automation and AI-powered workflows, implementing scalable improvements that increase team efficiency, reducing manual effort, and elevating the overall support experience.

- Provide occasional holiday and weekend support on call coverage, as needed, to support business and customer needs.

You might thrive in this role if you:

- Have 8+ years of experience in User Operations, Engineering, Support Engineering or similar technical roles, ideally within high-growth tech startups or other fast-paced environments.

- Are comfortable using emerging technologies (ie. Codex, ChatGPT, OpenAI API, etc.) to script or engineer code (e.g., Python) for automating repetitive tasks and integrating tools.

- Have expert-level SaaS troubleshooting skills with the ability to rapidly understand new technologies and complex concepts.

- Polished enterprise communication and are calm with high-stakes customers during live incident calls.

- Proven experience building strong relationships with customers and cross-functional partners to drive resolution to complex issues.

- Exceptional critical thinker and problem solver with the ability to clearly communicate complex technical issues to both customers and internal teams.

- Thrive in ambiguity, adapt rapidly to change, continuously learn, and proactively seek opportunities for growth.

- Bring a humble, team first mindset, a genuine eagerness to help others, and the curiosity to quickly learn whatever knowledge is needed to help both your teammates and our customers succeed.

- Have a bachelor’s degree in Computer Science, Computer Engineering, another relevant technical field, or equivalent practical experience.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

## Qualifications

You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing

You want to work on problems that will help change banking for good

You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity

## Benefits

Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked

New York, NY: $250,800 - $286,200 for Sr

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter

## Responsibilities

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One

Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc

Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more

## Job Description

Sr. Lead AI Engineer (AI Foundations)

### Overview

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning

## Qualifications

Bachelor's degree or above

A passion for user-facing products, with the ability to keenly capture changes in external industry trends and provide forward-looking judgment

Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

## Benefits

The base salary range for this position in the selected city is $121600 - $272000 annually

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location

Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units

## Responsibilities

Closely monitor and research global internet product and AI industry trends; provide external perspectives and decision-making support for international internet products through industry research and strategic judgment

Track industry developments and the latest changes through comprehensive methods such as qualitative observation and thematic quantitative analysis; deliver valuable cognitive input and offer solution approaches informed by the current state of the business

Design product strategies from the integrated perspectives of the overall industry and the business; coordinate with multiple business teams to collaboratively drive project implementation

### About the Team

TikTok Business Analytics team is a strategic partner of the TikTok product team, we provide strategic and User Research support for multiple business lines, determine strategic directions and initiatives through in-depth insights into internal operations and external market patterns, drive business growth, and strive to become the most trusted strategic partner of the

## Qualifications

In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies

## Benefits

Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work

That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind

Healthcare (medical, dental, vision)

## Responsibilities

Reporting to the Head of AI Strategy and Portfolio, this role serves as a strategic partner—guiding portfolio direction, enabling transformation, and orchestrating internal and external capabilities to accelerate AI adoption and value realization

The role also supports AI is deployed responsibly by embedding governance, risk, compliance, privacy, and security requirements into enterprise AI portfolio, operating models, and delivery practices

## Job Description

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to di

Sr. Machine Learning Scientist