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About the Team Our Merchant Services team lies at the heart and soul of DoorDash, ensuring that we set all our merchants up for success by providing a seamless onboarding, menu, and photo experience. As DoorDash grows in scale and scope of offering, the strength of our merchant services engine must grow with it. About the Role We are looking for a Premium Onboarding Partner (POP) to partner with our highest-value merchants to provide a best-in-class Merchant onboarding experience at DoorDash. As a Premium Onboarding Partner, you will play a crucial role within the Merchant Services team by providing our merchants with direct contact for all of their onboarding activities & needs. You will build long-lasting relationships with our Merchants through excellent customer service and strategic problem-solving. Not only will you partner with our Merchants, but you will also work with Account Owners and own a book of business as their onboarding contact. You will be a part of a new program to shape support as a differentiator in the marketplace through high-quality, white-glove service. You’re excited about this opportunity because you will… Leverage a proactive approach to Merchant onboarding success by anticipating issues, strategizing on solutions, and recommending specific actions to your cross-functional partners and Mx to ensure a defect-free onboarding Work directly with Merchants daily, helping to ensure flawless onboarding experiences Build relationships with Merchants by serving as a Single Point of Contact for all Merchant onboarding related concerns Promote retention and overall Merchant success by providing an unprecedented first impression of DoorDash’s service Prioritize and escalate issues in partnership with our teams Develop expertise in how DoorDash's systems and resources work and how to use them to promote positive outcomes for our Merchants Provide a best-in-class service experience to Merchants We’re excited about you because… You have 2 yea

About the role: Are you a relationship builder? Are you curious to learn about customers and passionate about giving them the best customer experience? Are you a self starter and thrive in a dynamic and fast-paced environment where you can make a difference in creating playbooks and processes? We’re looking for a Renewals Manager to be the post-sales quarterback for our corporate customers. In this role, you will be responsible for renewing and generating expansion opportunities. You will work with your Sigma colleagues to maximize customer value and to grow their business. Responsibilities: Develop professional and personal relationships with key stakeholders within each customer account Partner with Customer Success to minimize attrition, identify growth opportunities, drive adoption and increase usage Work with customers to create a strategy for achieving goals and assist Customer Success with removing barriers to business growth Collaborate closely with internal stakeholders such as Product, Engineering, and Alliances. Be able to communicate feedback and insights to the business. to improve product and customer experience Serve as an advocate for our customers and set appropriate expectations Leverage data to effectively guide meaningful customer conversations Facilitate business reviews to accomplish goals and opportunities Help identify opportunities for improvement in existing processes Required Skills / Experience: 2+ years working in Renewals / Customer Success role Ability to react and adapt to potential rapid shifts in priorities and organizational policies Strong negotiation and objection handling skills that allow for value-based contract negotiations Strong process management and detail oriented skills Strong customer management skills, including soft skills Additional Job details The base salary range for this position is $100k - 120k annually. Compensation may vary outside of this range depending on a number of factors, incl

About Prodigal Prodigal is the connected AI platform leading financial institutions use to run their operations. We work with banks, lenders, credit unions, and other financial companies that lend money to people and manage those relationships over time. These institutions make millions of high-stakes decisions every day. Who should they reach? When should they reach them? What should they say or offer? When should a case move to a human? How should that change based on the borrower, the account, previous interactions, and the regulations involved? Getting those decisions right requires a deep understanding of the people, processes, rules, and edge cases behind them. Prodigal has spent the last eight years building that understanding. More than a billion interactions between financial institutions and their customers have shaped the intelligence, guardrails, and AI agents we now run in production across North America. Today, our AI agents analyze conversations, capture context, guide human agents, decide the next action, conduct customer conversations, orchestrate outreach, and help people complete payments and resolutions. They are connected, so what is learned in one interaction can inform what happens next. We are expanding this swarm of AI agents across more of the work financial institutions do: originations, document processing, back-office workflows, servicing, and other critical operations where money, identity, people, and regulation intersect. We are backed by Y Combinator, Accel, and Menlo Ventures, and work with 100+ financial institutions across North America. Listen directly from our CTO, Cofounder - Sangram Raje About the Role We're looking for a Customer Success Manager who thrives on chaos as much as clarity. Once an account is handed to you by our AI Deployment team after the hyper-care phase, you own it, whether that means smoothing over rough edges from a still-settling rollout or building on a genuinely stable one. Either way, your job is

About Prodigal Prodigal is the connected AI platform leading financial institutions use to run their operations. We work with banks, lenders, credit unions, and other financial companies that lend money to people and manage those relationships over time. These institutions make millions of high-stakes decisions every day. Who should they reach? When should they reach them? What should they say or offer? When should a case move to a human? How should that change based on the borrower, the account, previous interactions, and the regulations involved? Getting those decisions right requires a deep understanding of the people, processes, rules, and edge cases behind them. Prodigal has spent the last eight years building that understanding. More than a billion interactions between financial institutions and their customers have shaped the intelligence, guardrails, and AI agents we now run in production across North America. Today, our AI agents analyze conversations, capture context, guide human agents, decide the next action, conduct customer conversations, orchestrate outreach, and help people complete payments and resolutions. They are connected, so what is learned in one interaction can inform what happens next. We are expanding this swarm of AI agents across more of the work financial institutions do: originations, document processing, back-office workflows, servicing, and other critical operations where money, identity, people, and regulation intersect. We are backed by Y Combinator, Accel, and Menlo Ventures, and work with 100+ financial institutions across North America. Listen directly from our CTO, Cofounder - Sangram Raje What You’ll Do Build and deploy LLM-powered AI agents (including voice agents) in production, designed for real-world use cases Own the end-to-end lifecycle of AI systems — from problem scoping and design to deployment, monitoring, and continuous iteration Design and optimize prompts, RAG pipelines, and evaluation frameworks to improve accurac

The team One of the most versatile teams of Artefact, our growing Data & Analytics team are present in many aspects of our data consulting projects: data collection, processing, and visualisation; but also giving insights and inputs on the business and digital media aspects. Half of the team also works as the master of data solutions for our clients: dashboarding, business intelligence or web analysis. Mission As a Data analyst, you will be conducting projects to accompany the transformation of your clients’ businesses through the effective collection, processing, and visualisation of data. It is up to you to extract valuable insights from our clients’ marketing-related data sources and to design dashboards for marketing decision-making while taking into account the business needs. Depends on the mission(s), you might also find yourself accompanying our clients in the conception and implementation of data architectures and data pipelines, from collection to monitoring. Desirable skills If: You have experience or have knowledge in data driven environment Master of Data collection and data visualisation tools, programming in SQL or Python are your jam; Some of these speak to you: Cloud technologies, API connection, ETL, Advertising tool… Or you are interested in learning those skills and use it in your work, contact us! Why should you join us Artefact is the place to be: come and build the future of data and marketing Innovation: We have a passion for creating impacting projects, and believe innovation can come from anyone. Action: We make things rather than telling people how to make them. Collaboration: We believe in bringing talented people together, in winning together, and in learning from each other. Come join us!

About Prodigal Prodigal is the connected AI platform leading financial institutions use to run their operations. We work with banks, lenders, credit unions, and other financial companies that lend money to people and manage those relationships over time. These institutions make millions of high-stakes decisions every day. Who should they reach? When should they reach them? What should they say or offer? When should a case move to a human? How should that change based on the borrower, the account, previous interactions, and the regulations involved? Getting those decisions right requires a deep understanding of the people, processes, rules, and edge cases behind them. Prodigal has spent the last eight years building that understanding. More than a billion interactions between financial institutions and their customers have shaped the intelligence, guardrails, and AI agents we now run in production across North America. Today, our AI agents analyze conversations, capture context, guide human agents, decide the next action, conduct customer conversations, orchestrate outreach, and help people complete payments and resolutions. They are connected, so what is learned in one interaction can inform what happens next. We are expanding this swarm of AI agents across more of the work financial institutions do: originations, document processing, back-office workflows, servicing, and other critical operations where money, identity, people, and regulation intersect. We are backed by Y Combinator, Accel, and Menlo Ventures, and work with 100+ financial institutions across North America. Listen directly from our CTO, Cofounder - Sangram Raje About The Team: You’ll join Prodigal’s Strategy & Operations team, the consulting and services arm of the company. We partner with lenders (Banks, NBFCs & BNPLs etc.) and debt collection agencies to transform how they engage consumers using data-driven insights and AI-powered workflows. The team sits at the intersection of product, dat

About the Opportunity We are looking for a full-stack Staff Software Engineer to join our Data and Partner Platform team (DAP) and help shape the future of energy technology. In this role, you will operate at the intersection of deep technical craft and broad organizational impact - driving architectural decisions, mentoring engineers, and building systems that are reliable, scalable, and grounded in the realities of the energy industry. You will be a key technical voice across engineering and a trusted partner to product, operations, and business teams alike. The Data and Partner Platform team manages partner integrations, data translation, and our Snowflake account. We work closely with most teams across the organization and drive critical platform engineering that runs core business functionality. The team is driven, diverse, and wildly talented. We are driving foundational improvements that improve our agility and speed while maintaining legacy systems. Main Responsibilities Technical leadership and vision Champion long-term excellence by envisioning ideal approaches to complex processes and translating the vision into well-scoped, measurable initiatives that can be prioritized alongside business goals. Coordinate across engineering teams to align on technical direction, standards, and best practices. Develop deep domain expertise in utility programs, demand responses, DER lifecycles, wholesale energy markets, and the regulatory realities that shape them, so every technical decision is grounded in how the energy industry actually operates. Collaborate with product and engineering leadership to strike the right balance between business-driven and team-driven priorities, maximizing both velocity and reliability. Build the absolutely coolest stuff of your career and give yourself something to be deeply proud of. Systems design and data engineering Architect and implement scalable systems for ingesting, processing, observing, and maintaining billions of data points,

About the Role: The team is responsible for building and optimizing the UI/UX across all Web and OTT applications at Tubi. The team primarily focuses on implementing features related to user acquisition and growth, including but not limited to user registration, onboarding, SEO, and account management. As part of this team, you will work closely with Product and Design to develop cutting-edge, experiment-driven features that enhance the user experience. In addition to front-end development, you’ll be responsible for building the underlying technical architecture to ensure performance and scalability, while proactively exploring engineering-driven features and experiments that can drive user growth. You will be working with React, Node.js, GitHub Actions, Terraform, and CDN infrastructure to build and deploy high-performance applications that reach millions of users. This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: Work with product management and other stakeholders (Backend, Product, and UI/UX) to iterate on new growth-related features, including registration, onboarding, and SEO. Lead the technical architecture and implementation of scalable and resilient applications that run on multiple platforms, such as web, mobile web, and smart TV devices. Lead and drive innovation in building experiment-driven features that push the boundaries of user experience in streaming. Consistently ship features and improvements across Web and OTT apps with minimal guidance, collaborating with cross-functional teams to deliver high-impact updates. Identify and implement improvements in shared UI components, platform-specific optimizations, and overall front-end infrastructure. Take ownership of the codebase and proactively identify opportunities for refactoring and development process improvement. Mentor and collaborate with fellow engineers, sharing technical expertise and contributi

About Yondr Yondr is a disruptor. We challenge convention and simplify complexity. A global developer, owner operator and service provider of data centers, we deliver complex data center capacity needs for the world’s largest tech companies. Our exponential growth sees us looking for extraordinary people to help accelerate us towards our vision: a tomorrow without constraints. But we can’t do this without you. About the Role A very exciting opportunity for a finance role within the business. The role will provide support in relation to end to end responsibility for operating companies (“OpCos”), including financial reporting and analysis across the business. Main Responsibilities / Perform all related accounting functions associated with OpCos, including account reconciliation and financial statements / Perform monthly variance analysis, identify trends, and make recommendations for improvements / Ensure the accounting policy applied is correct for all entities and consistent per the Group Reporting framework. / Manage various third parties, including auditors and outsourced services. / Interface and collaborate with other departments on monthly draws, cash management, tax filings, along with other items. / Supporting the Group OpCo Financial Controller with any activities as required. / Identify and drive process improvements, including the creation of standard and ad-hoc reports / Actively be visible to the group functions, acting as the go-to contact for the OpCos / Ensure OpCos adhere to the Group Operating Model, including compliance with transfer pricing policies and governance requirements / Act as a key business partner across Finance and the wider organisation to deliver accurate financial reporting, support decision-making and drive process improvements Qualifications and experience / Qualified Accountant (ACA / ACCA / CIMA / CA) / 3-4+ experience of working in a finance role / Strong presentation, analytical skills, p

*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-6aa4484d-eebc-83e8-89a6-0bd6ff429c20-39" data-turn-id-container="request-6aa4484d-eebc-83e8-89a6-0bd6ff429c20-39" data-testid="conversation-turn-12" data-turn="assistant"> Role Purpose Jumio’s customers do more than renew. They expand, advocate and become proof points that help win new business. The Senior Manager, Customer Marketing will build the programs, communications and campaigns needed to make that happen at scale. You will own the customer marketing function across Jumio’s existing customer base, working at the intersection of Marketing, Customer Success and Account Management. You will build lifecycle communications that reinforce value, establish a structured advocacy program that turns satisfied customers into active references, and create events and content that strengthen customer relationships. This is a senior individual-contributor position with end-to-end program ownership and no direct revenue quota. Role Value By joining Jumio’s marketing organization, you will: Build the infrastructure and operating model for customer marketing at Jumio Give Customer Success and Account Management repeatable programs and content that support adoption, renewal and expansion Develop a reliable network of customer advocates, references and speakers Turn customer insights into useful input for Product, Marketing and go-to-market teams Create customer proof that strengthens Jumio’s credibility and supports new business Example Responsibilities Own Jumio’s customer communication calendar, including product updates, feature-adoption campaigns and lifecycle email programs that keep customers informed and engaged Build and manage a structured customer advocacy program covering references, case study participants, G2 reviewers, event speakers and

Horizon Trading Solutions is an independent global technology company focused on electronic trading, supporting agency and principal business goals across equities and derivatives. For over 20 years we’ve equipped the most progressive global capital market players with powerful algorithmic technology and direct connectivity to more than 80 exchanges worldwide. Our single multi-asset platform and our unfaltering commitment to client partnership allow us to promise Performance Simplified: making it easy to be the best in trading. We are hiring a Customer Delivery Manager based in Hong Kong for the APAC Market. Customer Delivery Manager is a key stakeholder at Horizon Software, she/he acts as a link not only between customers and the company but also between various teams, including Sales, Legal, Account Managers, Product Owners, Product Experts, Client Services and Engineering teams. Your day to day? Pre-sale phasis: Assist presales Define scope and deliver project definition Write specs / requirements, involve product experts & product owners when needed Provide Timeline & Budget with Managed Services (one off and recurring cost) Client onboarding: Work closely with Horizon teams to identify gaps & implementation risks in early project phases, Get UAT Sign Off for Project Delivery / Onboarding Communicate internally about project progress to Sales and Management teams Ensure that projects are delivered in respect of deliverables in respect of contract (SLA), budget and quality standard, deliver reports and follow-up (budget, structure, planning, resources) Follow-up Software Onboarding (after integration by engineering): gather client's feedback on Initial Install Measure client technical satisfaction through onboarding and client sign off once Live Run and other tasks: Gather client requests and manage the workflow of tickets in our tracking tool (escalation if needed) Give visibility to clients on delivery plans for bug fixes and new

【About Appier】 Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier 's mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. 【About the role】 We are seeking for an intern for AIXPERT product team in Taiwan. He/She will cultivate strong relationships with our new and existing clients and assist them in strategizing and plan digital marketing campaigns to meet their goals. 【Responsibilities】 Cultivate strong relationships with clients. Identify key account growth opportunities with key stakeholders. Strategize and plan digital marketing campaigns to meet clients goals. Manage campaign launch and ongoing operations, including market research, troubleshooting, budget management and reporting. Assist clients to expand their usage and adoption of enterprise solution. Provide resources to answer clients’ questions, identifying needs for account customization and further implementation where applicable. Perform service delivery and first line technical support for the product implementation. Discussing the product definition, implementation, operation and clarifying issues with the customer. Assist in renewing client contract and cultivate upsell opportunities. Communicate consistently with clients throughout the contract lifecycle, escalating important issues where needed. Fully understand client requests, documenting and engaging appropriate resources. 【About you】 Have related experience or knowledge in digital marketing. Experience on operating Google Ads, Facebook, Apple Search Ads. Performance marketing or App optimization experience is a plus. Good at problem solving and cross-functional collaboration. Logically thinking and possess good time management abilities. Requires

About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role As an Appier Technical Solutions Engineer (Greater China Region), you will work closely with Account Management and Sales teams to deliver seamless campaign onboarding, technical integration, and troubleshooting for clients. You will translate complex technical concepts into clear solutions for both internal teams and clients, and proactively optimize workflows to improve efficiency across the campaign lifecycle. You will also act as a domain expert, channeling market insights and client feedback to the product team to help shape and improve Appier's products. Responsibilities Work closely with Account Management and Sales teams to support client onboarding and technical integration of Appier Solutions and tracking technologies into websites and mobile apps. Troubleshoot and resolve technical issues across the campaign lifecycle; analyze campaign metrics to identify anomalies, diagnose root causes, and provide actionable recommendations. Leverage AI tools and modern technologies to accelerate problem-solving, data analysis, and solution delivery across the campaign lifecycle. Act as a domain expert by consolidating market insights and client feedback, and communicating requirements to the product team. About you [Minimum qualifications] Bachelor's degree in Computer Science, Information Management, or a related field. Solid understanding of website structures; able to read, trace, and debug HTML and JavaScript. Proficiency in Python and SQL for data querying and analysis. Hands-on experience using

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. NOTE: The Pennsylvania Board of Pharmacy REQUIRES licensure for all pharmacy technicians, including CVS Mail Operations Warehouse positions . Please act on the following steps as soon as possible . To begin the process, click on the link below to go to the licensing process for the State of Pennsylvania – Register/apply for new account https://www.pals.pa.gov/#!/page/default Position Summary: Are you ready to help people on their path to better health? Are you seeking a position with growth and purpose? Pay for this role is $17.00 with opportunities to advance in as soon as 6 months (based on your skill-level)! Your career possibilities are endless at CVS Health! This is a full-time position with no direct customer interaction, guaranteed 40 hours per week, and premium pay for consistent weekends, nights and company holidays worked. We offer: 10 paid company holidays Eligibility to accrue up to 16 paid vacation days within the first year worked

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and