Senior Manager, Risk Operation AI Enablement Job at Airwallex (Singapore)

Senior Manager, Product & AI Policy

Airbnb was born in 2007 when two hosts welcomed three guests to their San Franci...

Location

United States

Salary:

204000.00 - 255000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

10+ years experience in a Policy, Legal, or Trust and Safety role
Prior leadership on product policy, with demonstrated experience developing AI policy in support of AI-driven product initiatives
Familiarity with the AI policy landscape
Demonstrated capacity for critical thinking, research, and analysis
Strong attention to detail
Exceptional writing and communication skills
Thoughtful business judgment, strategic thinking, and ability to work well under pressure
Proven ability to partner with and enable business teams, translating policy requirements into practical solutions that support commercial objectives
Experience working in a matrix and driving solutions to complex problems through cross-functional collaboration
Fluency in data analysis and data-driven decision-making, including proactively using data to surface policy improvement opportunities

Job Responsibility

Lead policy development for new and existing product areas, including AI-powered features, drafting clear and scalable policy frameworks that keep pace with product innovation
Collaborate with cross-functional stakeholders across the organization, including Product, Business, Supply, Design, Communications, Operations, Public Policy, and Legal
Foster, build, and maintain relationships with leadership of internal business verticals, acting as a trusted policy partner who helps teams move forward
Guide policy operationalization efforts in partnership with cross-functional stakeholders
Support product and AI feature launches with appropriate risk mitigation guidance and policy deliverables
Proactively use data, research, and community insights to evaluate existing policies, identify improvement opportunities, and drive revisions before issues escalate

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Senior Manager, Credit Risk

The Credit Risk team protects Shopify while enabling merchant growth by managing...

Location

Salary:

Not provided

Shopify

Expiration Date

Until further notice

Requirements

Leading and developing operational teams in credit risk, recovery, or financial services—ideally within ecommerce, payments, or large-scale digital platforms
Managing credit exposure, reserves, and financial loss mitigation at scale, with strong analytical skills and sound judgment under pressure
An AI-first mindset. You champion automation and AI workflows and are familiar with using AI tools to accelerate work
Direct communication—you say the thing, give clear feedback, and don't avoid hard conversations
Acting as the key operational partner to product, engineering, and data teams
Managing operational health for high-volume teams, such as SLAs, quality, throughput, and performance on large-scale case management platforms
Engaging senior stakeholders and executives to communicate risks, align on priorities, and deliver on objectives

Job Responsibility

Build, lead, and develop a high-performing team of credit risk analysts
push them to hone their craft and leverage AI tools to expand team impact
Own the team's outcomes and key metrics, balancing loss rates with merchant friction/experience
Use data to identify at-risk merchants early, build enforcement programs grounded in evidence, and intervene with low friction wherever possible
Define clear, well-documented policies that enable auditable, transparent decision-making and serve as the foundation for scalable automation
Partner with data teams to develop automation and detection models that cover the full surface area of loss prediction, not just optimizing existing coverage
Partner with product teams to help merchants understand when they're at risk and provide self-serve pathways to get back on track
Build credit risk assessments for new product launches and market expansions, scoping exposure and designing risk-mitigating controls from the start
Build high trust through direct feedback, clear expectations, and addition/subtraction when needed
Collaborate across other Risk, Compliance, and Legal teams to ensure a unified view of merchant risk

Senior Manager, Strategic Finance – AI Group

The Senior Manager, Strategic Finance will report to the Director of Strategic F...

Location

United States , San Jose

Salary:

161920.00 - 242880.00 USD / Year

AMD

Expiration Date

Until further notice

Requirements

Progressive experience in relevant Finance roles (e.g., strategic finance, FP&A), investment banking, corporate development, and/or finance-oriented consulting
Proven ability to identify key strategic issues, define and perform complex analyses, surface key insights, and influence decisions at the executive level
Expertise in financial modeling, including forecasting and deal, investment, and/or risk-related analysis (P&L, balance sheet, and cash flow impacts)
Strong communication, presentation, and interpersonal skills, with the ability to articulate concepts clearly and concisely to diverse audiences
Demonstrated ability to lead cross-functional workstreams and drive alignment/influence outcomes without direct authority
Self-motivated, intellectually curious, comfortable with ambiguity, and proactive with an ownership-oriented approach to problem solving
able to operate effectively in a fast-paced, high-growth environment
Semiconductor, technology, or infrastructure experience is preferred
Bachelor’s degree in Finance, Accounting, Economics, or related field
MBA, CFA, and/or CPA preferred

Job Responsibility

Lead the finance workstreams to drive the assessment and execution of AI strategic deals, analyzing key terms and quantifying financial impacts to AIG, with clear updates and escalations to finance leadership
Prepare and deliver executive readouts for AIG leadership and CFO staff, translating in-flight structures and economics into clear impacts, trade-offs, sensitivities, and decision asks – supporting both formal approvals and fast-turn decisioning during execution
Build and maintain deal models to evaluate economics and financial impacts
develop scenarios based on key operating and market assumptions
Lead risk-related analysis, including valuation/assessment of financial support arrangements and associated financial exposure
partner with Treasury on credit risk and balance sheet considerations
Ensure alignment with Accounting on classification and financial statement impacts of complex deal structures
Own and enhance executive reporting on in-flight deals and AMD financial exposure (including exposure/risk burn-down), and drive actions to mitigate emerging risks
Build post-deal performance reporting (e.g., expected vs. actual economics) and provide periodic updates to business leadership
Identify opportunities and drive initiatives to refine processes, tools, governance cadence, and cross-functional coordination to improve the quality, speed, accuracy, and rigor of deal assessment and monitoring

Fulltime

Senior Cloud Platform Engineer with AI Enablement

We are looking for a Senior Cloud Platform Engineer with AI Enablement experienc...

Location

Poland , Warszawa

Salary:

Not provided

Algoteque

Expiration Date

Until further notice

Requirements

Solid experience as a Cloud, DevOps, Platform, SRE or Infrastructure Engineer
Hands-on knowledge of at least one major cloud platform: AWS, Azure or GCP
Experience with Kubernetes in production or near-production environments
Experience with Infrastructure as Code, especially Terraform
Familiarity with CI/CD tools (GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps or Tekton)
Knowledge of observability and monitoring tools (Prometheus, Grafana, ELK, Loki, Datadog, New Relic, CloudWatch or OpenSearch)
Experience with production support, incident management, RCA and deployment stability
Good scripting or programming skills (Python, Bash, PowerShell or Go)
Understanding of security basics, IAM, secrets management and secure cloud delivery
Experience working with development teams and improving Developer Experience

Job Responsibility

Design and develop cloud-native platforms and internal developer platforms (IDP)
Deliver scalable, reliable and secure platform solutions for engineering teams
Work with Kubernetes and cloud services on AWS, Azure or GCP
Build and maintain Infrastructure as Code (Terraform, Pulumi, CloudFormation)
Develop CI/CD pipelines and automate deployments
Introduce platform standards, reusable templates, golden paths and best practices
Improve observability, monitoring, alerting and incident response
Support reliability, high availability, disaster recovery and operational stability
Use AI tools and AI-assisted workflows to boost engineering productivity and platform operations
Help define safe, controlled usage of AI tools, coding agents and LLM-based workflows

What we offer

B2B contract
100% remote work
A unique and engaging project in the EdTech space

Fulltime

Manager / Senior Manager, Analytics Engineering

KOHO is looking for a Manager or Senior Manager, Analytics Engineering to lead a...

Location

Canada

Salary:

170000.00 - 220000.00 CAD / Year

KOHO

Expiration Date

Until further notice

Requirements

5+ years in analytics engineering, data engineering, or similar technical data roles, including 2+ years managing technical teams
Proven people leader: Track record of hiring, developing, and retaining high-performing individual contributors
Experience scaling teams: You've built or grown technical teams and established practices that enable sustainable growth
Expert-level dbt knowledge: Deep experience with dbt Core/Cloud, complex projects, advanced materializations, macros, packages, and project architecture
Strong SQL and data modelling skills: Proficiency with dimensional modelling, event modelling, and performance optimization
Modern data stack fluency: Experience with dbt, Git, CI/CD, data warehouses (Redshift is a plus), and orchestration tools
Infrastructure mindset: Understanding of data platform architecture, scalability, and reliability patterns
Strategic thinker: Able to translate business objectives into technical roadmaps and prioritize effectively
Exceptional communicator: Adapt messaging for different audiences from C-suite to individual contributors
Stakeholder management: Navigate competing priorities, manage expectations, and build trusted partnerships across the organization

Job Responsibility

Build and develop a high-performing team: Mentor, and grow the Analytics Engineers through coaching, performance management, and career development
Foster a culture of excellence: Set standards for code quality, documentation, and collaboration while building psychological safety and autonomy
Enable team success: Build systems, prioritize work strategically, and ensure your team has the context and resources to deliver impact
Drive performance: Conduct regular 1:1s, performance reviews, and calibrations aligned with KOHO's high-performance culture
Develop a long-term talent strategy, identifying skill gaps and creating career pathways that ensure KOHO attracts and retains top-tier analytics engineering talent
Own the analytics engineering platform: Maintain and evolve the data infrastructure supporting 20+ developers across analytics engineering and broader data teams (product analysts, business analysts, and developers)
Architect for scale: Define technical strategy, standards, and best practices for data modelling, pipeline development, and data quality
Optimize performance: Monitor infrastructure health, drive query optimization, and ensure reliability across critical data pipelines
Champion technical excellence: Establish governance frameworks, code review standards, and documentation practices
Partner with domain leaders: Collaborate with Analytics, Finance, Payment Operations, Risk, Treasury, and Product teams to understand their data needs and translate them into technical roadmaps

What we offer

Competitive compensation & equity
Fantastic, Deeply Engaged Team
Generous vacation + Wellness days + Flex Days + holiday closure
Remote-first environment + coworking support + yearly all hands retreat
Access to coaching & growth programs
Parental top-up & leave policies
Comprehensive health benefits
Power-up budgets for books, home office setup, phone & internet, AI tools, and professional development

Fulltime

Senior Manager, Global GSI Programs & Operations

AMD is seeking a highly capable and execution-focused Senior Manager, Strategic ...

Location

United States , Austin

Salary:

143440.00 - 215160.00 USD / Year

AMD

Expiration Date

Until further notice

Requirements

Strong program and project leadership experience
Deep understanding of partnership ecosystems including GSIs, ISVs, and/or Systems Integrators
Deep experience in sales operations, business operations, strategic planning, or partner program management within large technology organizations
Builder mentality with the ability to create frameworks, processes, and operating models from scratch
Strong business acumen and understanding of partner and sales motions, pipeline management, and governance rhythms
Ability to independently identify problems, propose solutions, and drive execution with minimal direction
Outstanding written, verbal, and visual communication skills
Creative and analytical mindset with the ability to synthesize complex information into clear recommendations
Strong listening skills and high emotional intelligence
Strong executive communication skills

Job Responsibility

Lead multiple high-priority strategic GSI partner programs from concept through execution
Build scalable program frameworks, success metrics, governance models, and execution plans
Partner with leadership to identify strategic opportunities, operational gaps, and process improvement initiatives
Drive program accountability, milestone tracking, and executive visibility across initiatives
Support partner sales cadence activities including pipeline reviews, governance calls, forecast discussions, and business planning sessions
Develop operational dashboards, metrics, and reporting to provide visibility into business performance
Analyze pipeline, partner, and program performance data to generate actionable business insights
Partner with Finance and Sales leadership to improve planning rigor, forecasting, and investment prioritization
Act as a central connector across Sales, Product, Marketing, Finance, Operations, and Business Units
Drive alignment across cross-functional stakeholders to ensure timely execution of key deliverables

What we offer

Benefits offered are described: AMD benefits at a glance

Fulltime

Senior Manager, Production Technology Programs

FOX Entertainment is hiring a Senior Manager, Production Technology Programs to ...

Location

United States , Los Angeles

Salary:

128000.00 - 140000.00 USD / Year

Fox Corporation

Expiration Date

Until further notice

Requirements

7+ years leading complex, cross-functional technology programs
Experience supporting physical production and/or post-production workflows, including familiarity with dailies, media ingest, and archive workflows
Experience aligning external vendors and technical partners
Strong understanding of the production lifecycle from planning through ingest
Demonstrated ability to influence senior stakeholders without direct authority
Strategic operator with production credibility
Structured program leadership at scale
Executive-ready communicator
Comfortable in matrixed, fast-moving environments
Builder of standards, not one-off solutions

Job Responsibility

Partner with studio stakeholders to co-develop and implement scalable production technology standards with measurable success criteria
Reduce variability across productions by establishing repeatable workflow models
Serve as the senior program escalation point for production technology alignment and readiness
Balance creative flexibility with operational discipline to enable production at scale
Provide end-to-end program leadership from greenlight through post-ingest handoff
Align physical builds & designs (e.g., facilities, owned production gear) with defined technical, workflow, and archive requirements
Drive proactive readiness, resolving gaps before production launch rather than reacting after issues surface
Standardize ingest, metadata, naming, and archive expectations & policy
Ensure clean transitions into internal marketing, animation, and external post partners
Define and reinforce clear handoff boundaries with centralized platform teams

What we offer

annual discretionary bonus
medical/dental/vision insurance
401(k) plan
paid time off

Fulltime

New

Senior Manager, Data Science - Forecasting

We are seeking a Senior Manager, Data Science to lead the Forecasting team withi...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

12+ years of professional experience delivering data science, machine learning, forecasting, AI, analytics, or decision-support solutions that created measurable business value.
7+ years of experience managing, leading, or formally developing data science, machine learning, AI, analytics, or cross-functional technical teams.
Demonstrated experience setting data science strategy, prioritizing a portfolio of work, managing stakeholder expectations, and leading teams through ambiguous, high-impact business problems.
Deep experience with forecasting, predictive modeling, statistical modeling, probabilistic or Bayesian methods, uncertainty quantification, scenario analysis, experimentation, or optimization.
Experience partnering with machine learning engineering, software engineering, product, program, or platform teams to move models and analytics capabilities from prototype into production or scaled business use.
Experience with modern AI systems, including LLM-powered applications, AI agents, retrieval or information-retrieval systems, evaluation frameworks, guardrails, and human-in-the-loop operating patterns.
Strong analytical and technical fluency with Python, R, SQL, or equivalent tools, and familiarity with modern data science and ML frameworks such as scikit-learn, PyTorch, TensorFlow/JAX, Spark, MLflow, Airflow/Prefect/Dagster, or equivalent technologies.
Familiarity with cloud platforms, enterprise data platforms, model deployment patterns, MLOps, model monitoring, reproducibility, governance, security, privacy, and responsible AI practices.
Strong communication and executive-influence skills, including the ability to explain complex methods, forecast uncertainty, assumptions, model risks, and business implications to technical and non-technical audiences.
Demonstrated ability to hire, coach, mentor, and grow technical talent while fostering collaboration, inclusion, accountability, and a high bar for scientific and delivery excellence.

Job Responsibility

Lead, coach, and develop a team of data scientists, AI/ML scientists, and analytics professionals, establishing clear priorities, high standards, career development plans, and an inclusive, accountable team culture.
Define and own the data science roadmap for enterprise forecasting, simulation, scenario planning, uncertainty quantification, predictive analytics, LLM-enabled applications, and AI-assisted decision support aligned to Amgen's planning, supply, commercial, manufacturing, operations, and patient-focused priorities.
Partner with senior business, product, program, operations, commercial, manufacturing, supply chain, finance, engineering, and AI stakeholders to translate ambiguous planning and decision challenges into prioritized data science initiatives with clear outcomes and measurable value.
Establish rigorous standards for forecast quality, model validation, experimentation, evaluation frameworks, guardrails, explainability, auditability, reproducibility, model monitoring, drift detection, and responsible AI practices in high-impact and regulated business contexts.
Create and maintain measurement frameworks to evaluate forecast accuracy, uncertainty calibration, decision quality, operational efficiency, reliability, user adoption, and business impact
lead build-measure-learn cycles that improve solutions based on real-world performance.
Serve as a senior advisor to stakeholders by communicating forecasts, uncertainty, model assumptions, trade-offs, risks, and recommendations in a clear, actionable way for both technical and executive audiences.
Manage the team portfolio, roadmap trade-offs, resourcing, stakeholder expectations, delivery risks, and dependencies across data science, engineering, product, and business teams.
Identify reusable methods, patterns, platforms, and governance practices that accelerate forecasting and AI decision-support delivery across Amgen and reduce duplication across teams.
Research and evaluate emerging open-source, vendor, and internal tools related to forecasting, decision intelligence, LLMs, AI agents, MLOps, model evaluation, and AI governance for potential application to Amgen business problems.

Fulltime

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Senior Manager, Risk Operation AI Enablement

Job Description

Job Responsibility

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