Automations & AI Specialist, Product Support Job at Figma (San Francisco)

Customer Support Specialist (AI Automation Focus)

This position is a perfect fit for candidates with an accounting/bookkeeping or ...

Location

Israel , Tel Aviv

Salary:

Not provided

Finaloop

Expiration Date

Until further notice

Requirements

1–3 years of customer-facing experience (eCommerce/B2C experience is a plus)
Strong interest in AI, automation, and process optimization
Problem-solving mindset with high attention to detail
Ability to manage multiple tasks independently in a fast-paced environment
Tech-savvy, fast learner, comfortable working with digital tools and systems
Excellent written English skills (native-level – a strong advantage)
Background in accounting, bookkeeping, finance, or business (strong advantage)

Job Responsibility

Deliver high-quality customer support via email and live chat, ensuring timely and accurate resolutions
Provide product guidance and troubleshooting support to help customers fully utilize the platform
Support the onboarding of new customers, ensuring a smooth and successful start
Work closely with AI tools and automation systems to improve support workflows and efficiency
Identify repetitive issues and help design automated solutions and scalable processes
Contribute to Finaloop’s Knowledge Center by creating help articles and internal documentation
Collaborate with Product, Operations, and Sales teams to improve the customer experience
Provide structured feedback to help shape product improvements and automation capabilities

What we offer

Strong growth opportunities
Attractive compensation

Fulltime

Operations Support Specialist (Automations)

This role sits at the heart of CoHub — the Clinical Operations Hub within Eucaly...

Location

Philippines , Manila

Salary:

Not provided

Eucalyptus

Expiration Date

Until further notice

Requirements

3+ years of experience in Customer Service, Operations, or Support — ideally in SaaS, healthcare, or telehealth — with a track record of owning processes end-to-end
Hands-on experience building and maintaining automation workflows using low-code/no-code tools (e.g. Zapier, n8n, Make or similar), comfortable working from brief to production independently
Strong analytical mindset with the ability to use data to identify process gaps, measure impact, and drive continuous improvement
Clear and confident communicator with excellent written and spoken English and the ability to explain technical concepts to non-technical stakeholders
Proactive and detail-oriented, comfortable managing BAU responsibilities alongside longer-running automation projects with minimal supervision
Adaptable and curious, with a learner's mindset and genuine excitement to grow your automation and AI skillset in a fast-moving health tech environment

Job Responsibility

Be the first point of contact for practitioners and pharmacy partners — responding promptly to inquiries, proactively checking in, and surfacing insights to the clinical services team and wider business
Monitor and manage consult queues, taking action based on established guidelines to keep operations running smoothly and within target
Handle practitioner issue resolution end-to-end — troubleshooting operational and technical problems, escalating where needed, and coordinating seamless onboarding for new practitioners
Design, build, and maintain automation workflows using Lorikeet, with a focus on reliability, scalability, and reducing manual effort across the team
Deliver scoped automation projects from brief to production — building, testing, and iterating based on performance data, logs, and stakeholder feedback
Take end-to-end ownership of a dedicated operational function (e.g. payments, timesheets, or onboarding), ensuring it runs accurately and efficiently

What we offer

Wellness budgets
Social clubs
Hybrid work arrangement
Comprehensive health coverage (including up to 2 dependents)
Vacation, sick, and parental leaves
13th-month pay
Statutory benefits
Transport allowance

Fulltime

Specialist, Data and AI - AI Platforms

The Specialist, Data & Analytics – AI Platforms acts as a technical steward with...

Location

Canada , Toronto

Salary:

Not provided

Air Canada

Expiration Date

Until further notice

Requirements

University degree or technical certification in Engineering, Computer Science, Mathematics, Statistics, or other related technical fields
5+ years of IT experience in large enterprise environments
Experience with technologies supporting AI/ML environments, including: Azure DevOps & GitHub, Azure Kubernetes Service, Databricks, Azure Machine Learning, Azure AI Foundry, Azure Data Factory, Azure Function Apps, Azure Storage Accounts, Key Vault, SQL Server Databases, Service Bus
Excellent communication skills (written and verbal)
Strong problem solving and analytical abilities
Proven capability to work effectively in team driven, collaborative environments
Demonstrate punctuality and dependability to support overall team success in a fast-paced environment

Job Responsibility

Integrate AI products, machine learning models, and data pipelines into enterprise systems, ensuring they are stable, scalable, and aligned with reference architecture
Configure and maintain connectivity between AI platforms (such as Databricks or Dataiku) and upstream/downstream systems
Support the onboarding of new AI products into shared platforms and contribute to continuous improvement of integration processes
Deploy, configure, and maintain AI workloads within Microsoft Azure, adhering to enterprise cloud standards
Manage compute, storage, networking, and other Azure resources needed for AI platforms
Contribute to environment governance by applying deployment patterns and enforcing development/test/production separation
Support infrastructure as code processes using approved templates and CI/CD pipelines
Implement and maintain CI/CD pipelines for models, inference services, and data workflows in accordance with defined MLOps standards
Support model packaging, deployment, versioning, rollbacks, and promotion across environments
Integrate monitoring, observability, and alerting tools into AI workloads to ensure operational health

Automation & Gen AI Specialist (Customer-Facing)

We are seeking a dynamic and innovative Automation & Generative AI Specialist wh...

Location

India , Chennai

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

5–10 years of overall experience in Automation, RPA, and AI/Generative AI solutions
Minimum 2–3 years of hands-on experience in Generative AI / LLM-based solutions
Proven experience in customer-facing roles, pre-sales, or consulting environments
Demonstrated excellent communication and presentation skills, with the ability to articulate complex technical concepts to business stakeholders
Hands-on experience in delivering customer demos, POCs, and solution walkthroughs for AI and automation use cases
Prior experience in designing and delivering end-to-end automation solutions is highly preferred

Job Responsibility

Design and implement end-to-end automation solutions using RPA tools (UiPath, Automation Anywhere, Power Automate, etc.)
Develop and deploy Generative AI solutions using LLMs, prompt engineering, and AI frameworks
Integrate AI models with enterprise systems, APIs, and workflows
Identify automation opportunities to improve efficiency and reduce operational costs
Monitor, optimize, and maintain automation pipelines and AI solutions
Build AI-powered solutions such as chatbots and virtual assistants, document processing and summarization, content generation tools, intelligent decision-support systems
Work with data teams to curate datasets and fine-tune AI models
Ensure ethical AI practices, data privacy, and compliance
Conduct customer-facing presentations, demos, and workshops on AI and automation capabilities
Translate technical concepts into business-friendly insights

Fulltime

Ai Product Owner

Beazley’s data reflects the complexity of our business. We are committed to buil...

Location

United Kingdom , Birmingham

Salary:

Not provided

Social Value Portal Ltd

Expiration Date

Until further notice

Requirements

Stakeholder influence, structured problem-solving, commercial acumen, clear communication, and change leadership
Domain Expertise: Strong understanding of the specialist area (Ops/Reg, Dist/Marketing, or Policy/Claims) and adjacent functions (pricing, risk, finance)
Detailed knowledge of business and technology issues / opportunities related to insurance, data and AI
Strong understanding of data management principles, data governance, and analytics
Experience in Agile product development and backlog management
Degree in Data Science, Computer Science, Business Analytics, or related field
Demonstrable experience of AI product delivery / ownership within insurance or financial services
Strong understanding of AI/ML concepts, model lifecycle, and MLOps
Knowledge of ethical AI principles and regulatory frameworks
Stakeholder influence, structured problem-solving, commercial acumen, clear communication, and change leadership

Job Responsibility

Define and communicate the vision, goals, and roadmap for AI products
Align AI initiatives with business strategy and regulatory compliance
Work with Head of AI to establish AI CoE and drive platform / product capability in collaboration with federated analytics teams in Finance, Underwriting, Actuarial and Claims
Own and prioritize the AI product backlog, balancing short-term delivery with long-term strategic goals
Translate business problems into AI use cases with clear actionable user stories and acceptance criteria
Ensure delivery practices (Agile/Scrum/Kanban), NFRs (performance, governance, resilience, privacy-by-design), and control frameworks (quality, metadata, lineage) are embedded
Drive delivery of AI products through agile ceremonies (sprint planning, reviews, retrospectives)
Monitor KPIs and value metrics to ensure AI products deliver measurable outcomes (e.g., loss ratio improvement, leakage reduction, NB premium, campaign ROI uplift, cycle-time reduction)
Maintain product-level scorecards and dashboards tracking usage, quality, SLA performance, and business impact
Manage seamless AI product integration into Value streams (martech/Claims, etc) and Change initiatives (Modernisation, Underwriting Transformation, etc.)

What we offer

Attractive base compensation and discretionary performance related annual bonus
Private medical insurance coverage for both you and your dependents
Company paid life assurance and long term disability insurance
Pension with 10% employer contribution, plus a further matched contribution up to 2.5%
25 days of annual leave (prorated for 1st calendar year of employment), plus public holidays, with the ability to flex the religious bank holidays to suit your religious beliefs, subject to approval. Additional annual leave purchase is also available up to a maximum of five additional days per year
Up to 2.5 days matched paid leave for volunteering at a charity of your choice and 5 days paid leave to provide or arrange care for a dependent with a long term care need annually
Up to £550 reimbursement towards home office setup
Free in-office lunch and monthly lifestyle allowance
Monthly travel allowance or annual season ticket
The opportunity to save for, and purchase, shares of Beazley stock

Fulltime

Technical Solution Management Specialist - AI Evaluation, Research, and Technical Architecture Func.

With more than 45,000 employees and partners worldwide, the Customer Experience ...

Location

United States , Redmond

Salary:

97600.00 - 188400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND 4+ years experience in technical program management, preferably in AI, machine learning, research, data science, technical architecture, or customer experience domains. OR equivalent experience.
2+ years of experience managing cross-functional and/or cross-team projects.

Job Responsibility

Define and communicate a future-state vision for AI evaluation, research quality, and technical architecture across the XIO AI Innovation Lab.
Develop and maintain technical blueprints for research, validation, evaluation, experimentation, and Test Kitchen-ready handoff capabilities.
Define and maintain related processes and playbooks for scaling pre 0-to-1 motions using the lab flow: Signal -> Research -> Validation -> Research Paper -> PoC Candidate -> Test Kitchen.
Influence technical roadmaps for consistent product evaluation frameworks and tooling.
Track best practices, Microsoft product updates, frontier AI research, and emerging AI trends to inform lab strategy and publication direction.
Ensure alignment of evaluation frameworks with business priorities and Responsible AI standards.
Build and scale multi-dimensional evaluation approaches for diverse lab-stage AI workloads, including chatbots, customer self-service agents, predictive models, and generative tools.
Develop automated testing frameworks, including synthetic scenario generation, adversarial stress-testing, and batch evaluation.
Implement lab-appropriate experimentation patterns, including offline evaluation, synthetic scenario testing, feature-flagged trials where appropriate, and monitoring plans for downstream PoC owners.
Partner with engineering, data science, and prototyping teams to integrate evaluation tools into prototype scaffolds, CI/CD pipelines where relevant, and Test Kitchen handoff plans.

Fulltime

Global Warehousing Solutions Product Specialist

This role exists to drive transformation in warehouse operations by shaping and ...

Location

Brazil , São Paulo

Salary:

Not provided

Unilever

Expiration Date

Until further notice

Requirements

Strong understanding of end-to-end warehousing and logistics processes (inbound, storage, outbound, inventory) with the ability to translate user needs into clear functional requirements
Hands-on experience with warehouse management systems (e.g., SAP EWM, BY WMS) and familiarity with automation/robotics and system integrations (e.g., WCS, YMS)
Ability to engage with warehouse operators, super users, and process experts to validate workflows and ensure solutions meet operational needs
Proven capability to communicate effectively across technical and non-technical stakeholders, bridging operational and product/technology teams
Strong collaboration and stakeholder management skills, with the ability to work across cross-functional and distributed teams

Job Responsibility

Work with Product vendor to Develop and execute a comprehensive digital warehousing strategy aligned with Customer Operations goals
Stay ahead of emerging technology trends to identify opportunities for innovation, efficiency, and AI/Agentic AI integration
Lead the assessment, selection, and implementation of new functionalities / applications supporting warehousing processes to drive digitization, continuous improvement, and AI‑enabled opportunities across Warehousing operations
Oversee end‑to‑end design and delivery of digital Warehousing solutions with a strong user‑centric approach
Working with Deployment teams, lead agile teams to ensure timely, high‑quality iterative releases
Continuously learn from users and contribute insights to refine workflows, UI/UX, and product functionalities
Evaluate usability, workflow efficiency, and product pain points
propose enhancements
Identify friction points in daily warehouse operations and propose solutions
Support small enhancements, fixes, and iterative refinements

Fulltime

Regional Growth Marketing Specialist - AI/ Cloud

About my client: Our client is a global technology leader in cloud computing, AI...

Location

Singapore , Singapore

Salary:

5000.00 - 6500.00 SGD / Month

Randstad

Expiration Date

July 28, 2026

Requirements

3–5 years of experience in marketing, digital marketing, or growth marketing (tech/AI/cloud preferred)
Hands-on experience using AI tools for content, automation, or analytics or passion for AI, cloud, and high‑tech industries
Strong coordination skills and ability to work in a fast-paced environment.

Job Responsibility

Support execution of growth marketing campaigns across digital, content, events, and social channels
Use AI tools for content creation, automation, and analytics
Coordinate with regional teams for localisation, approvals, and campaign alignment
Assist in managing webinars, events, and customer engagement activities
Prepare marketing reports, dashboards, and performance insights
Support marketing operations including CRM updates, lead tracking, and campaign workflows
Collaborate with internal stakeholders across sales, product, and marketing.

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Automations & AI Specialist, Product Support

Job Description

Job Responsibility

Requirements

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