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Subprime Finance Manager ? Automotive Dealership Compensation: Commission-based | Uncapped earning potential Job Type: Full-time Location: Ottawa, Ontario About Hello Motors Hello Motors is a growing used-car dealership serving customers throughout Ontario and Quebec. We're looking for a motivated, results-driven Subprime Finance Manager to join our team and help customers secure automotive financing solutions. This is an excellent opportunity for someone with some experience in automotive financing who wants to develop their skills, build lender relationships, and increase their earning potential in a performance-driven environment. The Opportunity You'll work with customers across a range of credit profiles, helping them find suitable vehicle financing solutions. You'll be responsible for managing applications, working with lenders, structuring deals, and following up to turn applications into funded sales. We're looking for someone who has a basic understanding of automotive finance and is eager to learn, improve, and produce results. Responsibilities Review and assess customer credit applications. Submit financing applications to appropriate lenders. Work with subprime and alternative lending programs. Structure deals to maximize approval opportunities while meeting lender requirements. Follow up with lenders to obtain approvals and satisfy outstanding conditions. Communicate with customers to collect required documents and information. Work closely with the sales team to convert leads into completed and funded deals. Maintain accurate customer files and financing documentation. Ensure all transactions comply with applicable regulations and dealership procedures. Qualifications Some experience in automotive financing, subprime lending, dealership sales, or a related financial services role is preferred. Basic understanding of credit applications, lender approvals, and financing structures. Strong communication, organization, and follow-up skills. Comfortable working in a commission-based, performance-driven environment. Self-motivated, competitive, and eager to learn. Professional, customer-focused, and detail-oriented. OMVIC registration, or eligibility to obtain the required registration, is an asset, subject to the role's applicable requirements. You don't need to know everything on day one. We're interested in someone with a solid foundation, a strong work ethic, and the drive to become an excellent finance manager. Compensation & Benefits Commission-based compensation with uncapped earning potential. Opportunity to grow your income as your production increases. Support from an established dealership team. Opportunity to develop automotive finance and subprime lending expertise. A growing business with room for professional advancement. Compensation will depend on individual production and the agreed commission structure. Who We're Looking For We're looking for someone who wants to build a career in automotive finance?not someone who simply wants a job. If you have some experience, enjoy solving financing challenges, and are motivated by results, we'd like to hear from you. Apply today to join Hello Motors in Ottawa. Pay: $60,600.00-$173,000.00 per year Benefits: Casual dress Flexible schedule On-site parking Work Location: In person

About Qi Integrated Health No one heals alone. For twenty years, Qi Integrated Health has been the clinic in Kitsilano where fifteen disciplines work on the same case: acupuncture and Traditional Chinese Medicine, naturopathic medicine, physiotherapy, osteopathy, registered massage therapy, counselling, psychedelic-assisted therapy and more. More than 25,000 people have come through the door at 1764 West 7th Avenue. Our mission: to bring the full inheritance of human medicine to each person, healing the patterns that keep them unwell and carrying them toward flourishing. Qi exists for anyone who wants to be well: the person carrying something nobody has solved, the person who has hit a wall with what they have tried, and the person who is fine and intends to stay that way. How we deliver it. Qi offers a coordinated care path, not a string of separate appointments. A person describes what is going on, and within five minutes a Sage Concierge calls back to understand the situation and route them to the right starting point. A qualified practitioner assesses them, the care path comes out of that assessment, and every practitioner on the case sees what the others have done. Qi is also a clinical research site, which keeps the team honest about what the evidence supports and where it stops. Our values Wisdom: Knowing what will help each person, and in what order. Empathy: Being understood is not a nicety. It is the first treatment. Connection: Nothing heals in isolation. Integrity: Every recommendation is for the patient's benefit, never for ours. Dignity: Everyone deserves excellent care, and to be treated as though they matter. The Role You own marketing at Qi: the content, email, website, events, reviews and ad creative that bring people to the front door already trusting the place. It is 11:40 on a weeknight, and a woman in her fifties is typing the same question into a search bar for the third time this month: why does her back hurt worse when she hasn't slept? Every result is a list of services and a phone number. Then one isn't. It is a page from Qi that explains, in plain language, why sleep and pain so often turn out to be one pattern. She reads it twice. She doesn't book anything. Three weeks later an email invites her to a free evening talk at Qi on sleep. When she goes, the building is calm, someone remembers her name, and two practitioners from different disciplines talk through the same case together. That weekend she reads the testimonials page for an hour, looking for someone like her, and finds three. On Monday she sends a message, and five minutes later a Sage calls. No ad pushed her. Every step was something Qi made that taught her something, until trusting Qi felt like her own idea. That chain, from a search at midnight to a message on Monday, is your department. Qi has twenty years of proof, a team of practitioners whose work deserves to be found, and a building patients describe in reviews without being asked. Very little of it shows up in what Qi publishes today. Your job is to make Qi's work visible, so the people who need it can find it and believe it. The role is hands-on. In a typical week, that means planning in Asana, editing a practitioner interview, writing the newsletter, updating a service page and briefing the ad agency on new creative. Reports to: Head of Growth Type: Part-time, 3 days a week, starting with a 3-month trial. Potential to grow to 5 days based on results. Location: In person at our Kitsilano clinic, Vancouver BC. Some evenings and weekends for events. Salary: $42,000 to 48,0000 - 3 days a week (70,000 to $80,000 full-time equivalent) Start date: November 2nd, 2026 What the Work Involves The order of work is set. Launch the channels on the Sales Channels list in their order of importance, starting with the ones that cost the least and carry the most trust: search, pages AI tools can cite, the past-patient list and the 2.0 newsle

General Manager ? Le Méridien Richmond Pinnacle Hotel Richmond, British Columbia | Full-Time | On-Site Position Overview Pinnacle International is seeking an experienced, dynamic, and hands-on General Manager to lead the pre-opening and ongoing operations of our new Le Méridien Richmond Pinnacle Hotel. This is an exciting opportunity to build a team from the ground up, establish operational standards, deliver exceptional guest experiences, and position the hotel for long-term success. Conveniently located near the Capstan SkyTrain Station, the hotel will feature 143 guestrooms, meeting space, a restaurant, and fitness facilities. Key Responsibilities Lead all aspects of hotel pre-opening, including recruitment, training, operational planning, systems implementation, and SOP development. Oversee daily operations across all departments, including front office, housekeeping, food and beverage, maintenance, and sales. Build, develop, and motivate a high-performing team while fostering a positive, service-focused culture. Responsibility for financial performance, including budgeting, forecasting, revenue growth, profitability, and cost controls. Work closely with sales, marketing, and revenue management to maximize occupancy, ADR, RevPAR, and market share. Maintain exceptional guest service standards, operational efficiency, and compliance with Marriott brand requirements. Monitor guest satisfaction, online reputation, and operational performance, implementing improvements as needed. Qualifications & Experience Minimum 5 years of executive-level hotel management experience at an upscale or premium branded hotel (GM, AGM, or Director of Operations). Marriott-branded hotel experience strongly preferred, including knowledge of Marriott systems and standards. Proven success in hotel operations, financial management, revenue growth, and guest satisfaction. Strong leadership, communication, organizational, and problem-solving skills. Hands-on management style with the ability to lead and motivate a diverse team. Hotel pre-opening experience highly preferred. Strong understanding of the Richmond market. Experience with hotel PMS and technology systems. Hospitality Management degree or diploma considered an asset. Must be legally entitled to work in Canada. Pay: From $120,000.00 per year Benefits: Extended health care Life insurance On-site parking Work Location: In person

Job Description Salesforce Communications Cloud Developer Location: Toronto, ON ? Hybrid (2?3 Days WFO) Skills: Salesforce Communications Cloud Experience Required: 6?8 Years Role Description Develop and customize Salesforce Communications Cloud applications and components. Configure EPC, CPQ, Digital Commerce, and Order Management functionalities. Build OmniScripts, FlexCards, DataRaptors, and Integration Procedures. Develop Apex classes, Lightning Web Components (LWC), and integrations. Support unit testing, SIT, UAT, deployment, and production support activities. Troubleshoot and resolve platform and integration issues. Collaborate with architects, business analysts, and QA teams. Essential Skills <h3 style="line-height:1.25; color:rgb(13, 13, 13); font-family:-apple-system-body, ui-sans-serif, -apple-system, "system-ui", "Segoe UI", Helvetica, "Apple Color Emoji", Arial, "sans-serif", "Segoe UI Emoji", "Segoe UI Symbol"; font-style:normal; letter-spacing:normal; orphans:2; text-indent:0px; text-transform:none; widows:2; word-spacing:0px; background-color:rgb(255, 255, 255)" class="x1ll2q23 x1a4oops x132q

EXACT builds game-changing technology for the concrete industry. We work with large constructors and precasters who are creating the roads, bridges, tunnels, and buildings of the future. Our mission is to make one of the biggest industries on earth more efficient, sustainable, and safe. We have grown exponentially since our inception, fueled by deep industry knowledge and innovative technology. As we continue to scale, we are hiring a Product Strategy Manager to own our product strategy and roadmap, identify our next growth opportunities, and drive new products from concept to market. Reporting to the CEO, you will own EXACT?s product strategy and roadmap, identifying our next growth opportunities and driving new products and major features from concept to market. You'll combine customer insight, commercial judgment and technical understanding to decide what we should build and when it needs to launch. Working closely with engineering, sales and marketing, you'll turn those decisions into achievable plans and measurable business results. This is an excellent opportunity for an experienced professional eager to influence product strategy in a fast-paced environment. In this role you will be tasked to: Meet regularly with customers, on site and on calls, to uncover problems, validate demand and spot opportunities across the market. Assess market size, customer economics, competing products and pricing, and changes to industry specifications and codes. Build and present business cases to the executive team, covering revenue potential, development costs, margins and risks. Own the product roadmap, setting priorities and target launch dates with input from the executive team, engineering, sales and marketing. Translate customer needs into clear product requirements. Work with engineering to establish development timelines and resolve trade-offs between scope, resources and launch timing. Drive launch planning with sales and marketing, including positioning, pricing and sales enablement. Track adoption, customer feedback and commercial performance after launch, using the results to guide product improvements and future investment. Other responsibilities as needed. To be successful in this position, you have: Bachelor?s degree in engineering, business or a related field, or an equivalent combination of education and relevant experience. Civil, materials or mechanical engineering backgrounds and/or an MBA are an asset . Minimum of 7+ years of progressive experience in product strategy, product management, corporate strategy or business development within a technical B2B business. Proven, hands-on experience taking products from customer discovery through development and launch, including products that combine hardware and software. Experience launching IoT or SaaS products is an asset, and preferred. Ability to learn a technical industry quickly and earn credibility with customers and engineers. Experience in concrete or construction including precast, ready-mix, admixtures, testing or general contracting is an asset. Strong quantitative skills. You build models, size markets and can defend your numbers. Clear writing and confident communication with customers, engineers, executives and other decision makers. Ability to make decisions, align teams and drive execution across departments. Willingness to travel to customer sites and plants (about 20%). Strong organizational skills and attention to detail. Why work at EXACT? Direct access to the CEO and an experienced executive team, You will have meaningful ownership of product direction and work collaboratively with various departments. A small, senior team where decisions move quickly and your work has a visible impact. We are a team of 50+ technical superstars and are welcoming to others who share our passion. Our culture is open, honest and inclusive. We?re solving serious problems and having fun doing it. We?re r

Our Mission Rebuild how the world works, to make institutions work better for the people they serve. About Brain Co. Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model. Why Now Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services. Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact. You'll work alongside exceptional peers on some of the hardest problems in applied AI. It's the kind of work you'll still be proud of in ten years from now. At Brain Co., new-grad engineers contribute to real production systems and see their work deployed at global scale. About The Role As a Machine Learning Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential. What You'll Work On Innovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals. Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide. Make a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large. Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills. Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices. You Might Be a Great Fit If You… Expect to complete a bachelor's degree in Computer Science, Engineering, Machine Learning, Data Science, or a related field in Spring 2027. Have hands-on experience building GenAI-focused applications (e.g., agents, reasoning workflows, or RAG) and a solid understanding of how large language models are architected and operated. Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow. Possess a strong foundation in data structures, algorithms, and software engineering principles. Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges. Can work collaboratively with cross-functional teams. Thrive in fast-paced environments where priorities or deadlines may compete. Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done. Job Details & Benefits Eligibility: Completing a bachelor's degree in Spring 2027. Competitive full-time compensation and benefits Support and feedback from experienced platform engineers Opportunity to work on real production systems used globally Meaningful ownership from day one, with room to grow alongside the team Daily lunches (if onsite)

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About The Team The Radar ML team builds the machine learning systems that power Stripe's Radar fraud and abuse product suite. Our models make real-time decisions across a significant share of internet commerce - helping businesses stop fraud, increase authorization, and grow safely. By turning economy-scale datasets into compelling ML products, the team directly improves customer outcomes and drives meaningful revenue for Stripe. The team is growing, and expanding into multiple new areas. We are building abuse protections across the full customer life-cycle, adaptive and customizable fraud systems for enterprises, and risk intelligence for 50+ global payment methods. What you'll do You will own ML problems from conception to production: analyzing new fraud and abuse patterns, exploring large-scale datasets, experimenting with model architectures, designing evaluations, deploying models, and monitoring performance. Your work may include developing transformer architectures for payment data, building graph-powered intelligence across consumers, leveraging LLMs to detect emerging attacks, or rapidly prototyping new protections with frontier AI labs. You will have opportunities to ship 0→1 products, and to improve mission-critical ML models operating at Stripe scale. Responsibilities Build, train, evaluate, and deploy models that detect fraud and abuse across Stripe's global network. Investigate emerging fraud and abuse patterns, identify where ML can help, and rapidly develop effective solutions. Design features, datasets, evaluation methods, and experiments for noisy, delayed, and adversarial environments. Improve model architectures, training methods, and production systems to increase model quality, coverage, and adaptability. Monitor production behavior and improve models as data, customer needs, and attack patterns change. Balance model quality with legitimate-user impact, latency, reliability, and operational complexity. Partner with engineering, product, data science, risk experts, and leading Stripe users to turn modeling improvements into differentiated Radar products. Contribute to reusable tools and AI-assisted workflows that help the team develop and operate ML systems more effectively. Who you are You are a fast, pragmatic problem solver with deep ML expertise and a bias toward action. You are excited to work at the frontier of payments and AI - turning advances in machine learning into production systems that address new forms of fraud and abuse. You've built ML models and shepherded them to production, landing impact for users. We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum Requirements 2+ years of experience developing, evaluating, and deploying machine learning models in a production environment. Strong foundations in machine learning, data analysis, statistics, model evaluation, and experiment design. Strong programming and software-engineering skills, with experience writing tested, maintainable code for production ML applications. Experience building or operating production ML systems, including one or more of large-scale data and feature pipelines, distributed model training, low-latency inference, model deployment, or production monitoring. Ability to investigate ambiguous problems, reason from data, and choose pragmatic technical approaches. Ability to communicate technical ideas and results clearly and collaborate effectively across disciplines. Preferred Qualifications Experience owning an ML problem across the full lifecycle, from problem framing and data exploration through deployment, monitoring, and iteration. Experience developing or productionizing modern deep learning, graph-learning, or LLM-based approaches. Experience building and optimizing real-time, low-latency ML systems at scale. Experience applying ML to fraud detection, integrity, trust and safety, identity, cybersecurity, or another adversarial domain. Experience rapidly building 0→1 products, working directly with customers, or operating effectively in a fast-moving environment. Active interest in the latest ML developments, and how they can be leveraged to solve business problems. Hybrid work at Stripe This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office). In-office expectations Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. Working remotely at Stripe A remote location is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently live or plan to live. Pay and benefits The annual US base salary range for this role is $180,000 - $270,000. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. We look forward to hearing from you. At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us. Apply now Please find our California applicant personal information notice here. The application window will remain open for 100 days after the Job Post is published. However, this opportunity will remain open based on the needs of the business, which may cause the application window to close before or after the 100-day mark.

Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. We're looking for a versatile, seasoned sales data analyst or analytics engineer that will focus on driving data alignment (improving business processes and production systems) between enterprise go-to-market and finance. You'll design clean, robust data pipelines and infrastructure to monitor data drift between systems/applications like Salesforce, Oracle Fusion, Gainsight, and Databricks. As an experienced senior analytics engineer on our team, you'll help evolve our data stack, champion best practices in data processing + analytics design, and build a robust context layer on top of our data that enables AI agents to interact safely. Responsibilities Design, build, and maintain data infrastructure that ensures data quality, consistency, and accessibility for analytical workflows Lead the development of data products and an AI context layer that enables analytics and data access to scale across the company Build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts Partner with finance, data engineering, and other x-functional teams to track and flag data inconsistencies that obscure the company's ability to accurately close our books Execute sizing analyses for transformational and ad-hoc data infrastructure changes, including well-defined impact analyses to support new and ongoing initiatives and product launches, conducting investigations and QA on source data quality Develop SME-level knowledge and ownership for core system data transformations (owning the requirements → UAT → DE implementation cycle for a new product or data structure) Leverage available tools to find efficiencies and process improvements to help us and our partner teams (deal desk, central analytics) remove manual processes and improve source data accuracy Investigate reported bugs or deficiencies, working with business analysts and data engineering to do UAT/QA on simple bug-fix & feature releases Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range. Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. This role may also be eligible for benefits, bonuses, commissions, and equity. Pay Ranges Role In The United States , we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A : $156,600 - $204,450 Zone B : $140,940 - $184,005 Zone C : $129,978 - $169,694 Qualifications 6+ years of experience in Analytics Engineering, Data Engineering, Data Science, Business Intelligence, or similar field. Expert level proficiency with SQL and data modeling. You know how to architect data models and influence engineering teams to build for scale and consistency Proficiency in a quantitative programming language, preferably Python Experience with BI tools such as Tableau, Looker, and know how to enable self-service analytics Experience with CRM systems like Salesforce or Hubspot and ERP systems like Oracle or Netsuite Understand effective software and analytics engineering practices and can use AI tools to move faster without creating brittle systems, unclear code, or unnecessary complexity. Ability to independently structure complex, ambiguous problems from initial framing through delivery and execution with diverse teams up to the senior leadership level Proactive engagement with the management team to identify, prioritize, develop, and execute strategies that improve our data to enable better decisionmaking Comfortable collaborating across numerous horizontal partners (sales systems, sales enablement, sales compensation) as well as departmental/vertical stakeholders (marketing, product, finance) to build alignment and deliver results Excellent problem-solving skills with a focus on delivering business impact through reliable systems Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits . About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh . In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us. Get To Know Our Team: The Data department oversees all of Agoda's data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company's culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward. The Opportunity: As a Senior/Staff Data Engineer in CEG (Customer Experience Group) , you will help design, build, and maintain the data and software foundations that power how CEG Business users serves customers and agents across all contact channels. You will work closely with Product, Operations, Analytics, Operations Efficiency, WFM, DevOps and engineering teams to deliver reliable data pipelines, scalable models, internal tools, and clear insights that improve customer experience and operational efficiency. You are comfortable switching between engineering work (pipelines, data models, internal services, tooling, optimization) and analytics work (business questions, dashboards, deep‑dive analysis). You can talk to both engineers and business stakeholders in simple, clear language. At the Staff level , you will also shape CEG's data and tooling strategy, influence cross‑team architecture, and raise the overall engineering and data bar for the team. What You'll Do: Data Engineering Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and serve data from CEG systems (case management, telephony, chat, bots, QA tools, WFM, CRM) and third‑party tools and logs. Develop and optimize data models (e.g., warehouse tables, marts, views) that power CEG reporting, monitoring, forecasting, QA, and experimentation. Ensure data quality, reliability, and observability : Implement validation checks, anomaly detection, and monitoring for key CEG datasets and metrics. Work with stakeholders to define and enforce data definitions, SLAs, and ownership for critical tables and metrics. Improve performance and cost efficiency of data jobs and queries (e.g., partitioning, indexing, query tuning, storage format optimization) for high‑volume CEG data (calls, chats, emails, cases, events). Collaborate with data platform and engineering teams to standardize tooling and best practices (e.g., version control, CI/CD for data and services, code review, documentation, runbooks). Data Tools & Product Development Design and build data tools and internal products for CEG (e.g., self‑service analytics, case monitoring dashboards, alerting systems, investigator tools, QA/review tools, agent performance views). Use languages such as Python, Java, Golang, or JavaScript/TypeScript to implement APIs, data services, and lightweight UIs that expose data in a usable way to agents, managers, and operations teams. Work closely with CEG product managers and operations to translate operational pain points into concrete data tools, from problem framing to delivery and iteration. Apply solid software engineering practices —testing, code reviews, CI/CD, observability—to data products so they are reliable, maintainable, and easy to extend. At Staff level, define and drive the roadmap for key CEG data tools and platforms, ensuring reuse across regions, lines of business, and channels. Data Analytics & Business Impact Partner with CEG product and business teams to translate questions into data problems and design clear analytic approaches. Build and maintain dashboards and reports (e.g., contact volumes, handling time, quality, customer outcomes, agent performance, spot alerts) that provide reliable metrics and self‑service access to data. Perform deep‑dive analysis to understand trends in contact patterns, customer issues, agent performance, and operational efficiency; identify root causes and propose practical, data‑driven recommendations. Define and maintain metrics and KPIs (e.g., CSAT, NPS, SLA, AHT, FCR, quality scores), ensuring consistent definitions across CEG teams and tools. Communicate findings in simple, business‑friendly language , including clear implications and recommended next steps. Stakeholder & Team Collaboration Act as a trusted data partner for CEG stakeholders (operations leaders, product managers, WFM, QA, training, policy, and regional leadership). Work with other data engineers, analysts, and scientists to align on data standards, reusable components, and shared datasets for CEG. Mentor junior and mid‑level team members on data engineering, analytics, and software engineering best practices . Contribute to continuous improvement of team workflows (code reviews, testing, documentation, runbooks, knowledge sharing, incident reviews). At Staff level, influence cross‑team architecture and ways of working , making sure CEG's data ecosystem scales with business growth. Required Qualifications: 8+ years working as a Data Engineer, Analytics Engineer, or Data Analyst in a data‑driven environment (Staff level typically 10+ or equivalent scope/impact). Strong SQL skills (complex joins, window functions, aggregation, query optimization). Experience with at least one major data warehouse / big data technology (e.g., BigQuery, Snowflake, Redshift, Hive, Spark, Vertica, StarRocks, or similar). Solid experience with ETL/ELT tools or orchestration frameworks (e.g., Airflow, dbt, internal frameworks). Proficiency in at least one programming language for data and services (e.g., Python, Java, Golang, Kotlin, or JavaScript/TypeScript). Experience building production‑grade data pipelines and/or data services with attention to quality, monitoring, and maintainability. Experience with BI / visualization tools (e.g., Tableau, Power BI, Superset, Metabase, Looker). Strong analytical thinking : comfortable framing business questions, exploring data, and turning results into clear insights. Ability to communicate complex topics in simple, concise language to non‑technical stakeholders. Preferred Qualifications: Experience with event‑driven data (logs, clickstream, customer journey, contact flows, tracking data). Knowledge of data modeling techniques (e.g., dimensional modeling, Kimball, data vault, star/snowflake schema). Experience with A/B testing, experimentation platforms, or causal analysis . Familiarity with ML pipelines or working with data science teams (e.g., routing models, QA scoring, forecasting, recommendations). Experience in online consumer products, travel, e‑commerce, or marketplaces . Hands‑on frontend or backend development experience (e.g., building internal tools in React/Next.js, Node.js, or similar frameworks) used by operations or support teams. Prior experience in a Staff or Tech‑Lead role , driving technical direction and mentoring multiple engineers/analysts. #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works. Discover more about working at Agoda Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/ LinkedIn https://www.linkedin.com/company/agoda YouTube https://www.youtube.com/agodalife Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Location Designation: Hybrid - 3 days per week Technology, Data, AI And Ventures Within the Tech, Data, AI, Ventures (TDAV) organization, our work is guided by a shared vision: deploying the power of technology, data, AI and ventures to accelerate sustainable competitive advantage for New York Life's businesses. We build solutions that power how we serve policy owners, agents, advisors and employees while delivering measurable business outcomes. Across technology, data, AI, cyber, product, digital experience, architecture and infrastructure, TDAV combines the scale and investment of an industry leader, access to leading-edge technologies and the opportunity to help shape how a world-class financial services company competes in the AI era - all backed by the stability and purpose of a mutual company built to last. Role Overview Join NYL Enterprise Intelligence as an Analytics Engineer on the Data Services team. This is a foundational role within one of the most innovative, founder-mode organizations inside New York Life — a team on a mission to transform 178 years of proprietary data into bleeding-edge AI intelligence, embedded at the point of every decision. You will work at the intersection of data engineering and business insight, building the analytics foundations that power enterprise-scale intelligence products across every line of business. The Analytics Engineer contributes to the development and maintenance of data transformation logic, data models, and analytics solutions that sit at the heart of NYL's Enterprise Intelligence platform. Working under the guidance of senior engineers, you will help ensure that data is accurate, accessible, and actionable — enabling the decisioning and AI capabilities that drive measurable business impact across the enterprise. What You'll Do Data Transformation & Modeling: Contribute to the development of data transformation logic and maintain existing data models using dbt and SQL. Write and optimize SQL queries for data transformation and analysis to support accurate, accessible, and actionable data. Data Quality & Documentation: Assist in implementing and maintaining data quality checks and testing procedures. Contribute to documentation of data models, transformations, and business logic to support consistency, reliability, and maintainability. Analytics & Reporting: Develop and maintain reports and dashboards using visualization tools to surface actionable insights. Support the delivery of business and operational metrics in partnership with Analytics and senior team members. Cross-Functional Collaboration: Work jointly with team members and stakeholders to accomplish shared outcomes. Participate in cross-functional meetings to understand business requirements and translate them into data needs. Team Collaboration & Growth: Build collaborative relationships across engineering and analytics teams, contributing to shared outcomes and the continued development of enterprise intelligence capabilities. What You'll Bring Required Skills 1–3 years of experience in analytics engineering, data engineering, or a related field. Proficiency in SQL, including writing and optimizing queries for data transformation and analysis. Familiarity with data warehousing concepts and analytics best practices. Strong attention to detail and commitment to data quality, accuracy, and reliability. Ability to work collaboratively in a fast-paced, team-oriented environment, building effective relationships across engineering, analytics, and business teams. Preferred Skills Experience with dbt or similar data transformation tools. Exposure to cloud data platforms such as GCP, AWS, Databricks, or BigQuery. Experience with BI and visualization tools such as Looker, Tableau, or similar platforms. Interest in AI, machine learning, and enterprise intelligence applications. Job Level: LEVELPF3 Pay Transparency Salary Range: $100,000-$143,000 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program. Company Overview At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact. Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you'll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress. As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what's next, and your growth powers it. Our Benefits We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site. Our Commitment to Inclusion At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life's leadership in this space. Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com. Job Requisition ID: 95191

Job Requisition ID # 26WD101381 Position Overview Autodesk's worldwide sales organization depends on its forecast, pipeline, targets and reporting. This role builds the data models behind them. As an Analytics Engineer on the Forecasting & Revenue Intelligence team, you turn sales, subscription and hierarchy data into tested, documented models that analysts and sales leaders can trust, covering what customers bought, who owns which accounts and how the sales organization looked on any given date. You will work in SQL and dbt on Snowflake, and you will work closely with the people who use your models. This is a hands-on role on a new team, and you will own what you ship. Location: United States (remote). Central or Eastern time zone preferred. Organization: Revenue Operations Responsibilities Build and maintain dbt models on Snowflake that bring Salesforce, subscription, billing, hierarchy and forecast data into a clean, documented form Model data for analysis: a clear grain, stable keys, and definitions consistent with the shared metric dictionary Keep history so any published number can be reproduced as it stood on the day it went out Maintain the mapping between accounts, territories, sellers and the sales hierarchy as the organization changes Reconcile the data to Salesforce and to Finance, and find the cause when they disagree Build the datasets behind the weekly forecast pack, business reviews and leadership dashboards Add tests and monitoring for freshness, completeness and accuracy, and fix what breaks Explain data issues and trade-offs to sales and finance partners in plain terms, and agree on a fix with them Work in version control with code review and continuous integration Minimum Qualifications Bachelor's degree in a technical or quantitative field, or equivalent practical experience 3+ years in analytics engineering, data engineering or BI development, building models other people depended on Dbt in production, with tests and documentation as part of how you work Strong SQL, including window functions and incremental models, in a cloud data warehouse such as Snowflake Working knowledge of the Salesforce data model: accounts, opportunities, line items and ownership Ability to explain a data problem to a non-technical stakeholder and reach a decision together Preferred Qualifications Dbt snapshots or slowly changing dimensions for point-in-time reporting Python for transformation or orchestration, with Airflow or similar Enterprise software or SaaS commercial data: subscriptions, renewals, territories, and direct and partner routes to market Revenue intelligence platforms such as Clari, Gong or Aviso, and BI tools such as Power BI, Tableau or Sigma Experience as an early hire on a new data team Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us! Benefits From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/ Salary transparency Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $103,000 and $185,130. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Equal Employment Opportunity At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law. Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging In-Person Onboarding and Identity Verification This role may require in-person onboarding and/or in-person ID verification.

Xumo, a joint venture between Comcast and Charter Communications, was formed to develop and offer a next-generation streaming platform for the entire entertainment industry. The company consists of three primary lines of business: Xumo devices, Xumo Play, and Xumo Enterprise. Powered by Comcast's global entertainment platform, Xumo devices feature a world-class user interface with universal voice search capabilities, making it easy for consumers to find and enjoy their favorite streaming content. Xumo Play is a free ad-supported streaming TV (FAST) service offering hundreds of linear channels and on-demand options. Xumo Enterprise provides tools and services for content creators, distributors, and advertisers to make FAST content more accessible. Job Summary This role partners with business leaders and stakeholders to understand data and analytics needs, translating them into actionable technical requirements. It involves analyzing large, complex datasets from multiple sources to uncover meaningful business insights, identify key drivers, and support data-driven decision-making. The position leverages advanced querying and develops forecasting models to predict business trends. Additionally, the role evaluates the effectiveness of campaigns and initiatives, delivering insights for continuous improvement, and designs, builds, and maintains both internal and external dashboards and reporting solutions to meet stakeholder needs. Job Description Additional Position Info: This role will work closely with business stakeholders, responsible to create and maintain internal dashboards & reports based on stakeholder requirements Create, develop and maintain external customer reports & dashboards Position is office based in Irvine, CA or Philadelphia, PA- 4 days/week & 1 day remote Core Responsibilities Works with business leaders and stakeholders to understand data and analysis needs and develop technical requirements. Determines relevancy of data and identifies alternative data sources as needed to ensure analytics requested by business stakeholders can be completed. Analyzes large, complex data to determine actionable business insights using self-service analytics and reporting tools. Queries disparate big data platforms such as Teradata, SQL Server, Hadoop, and AWS. Combines data as needed from disparate data sources to complete analysis. Identifies key business drivers and insights by conducting exploratory data analysis and hypothesis testing. Develops forecasting models to predict sales, demand and other key business metrics. Analyzes the results of campaigns, offers or initiatives to measure their effectiveness and identifies opportunities for improvement. Communicates findings clearly and concisely through narrative-driven presentations and effective data visualizations to Company executives and decisionmakers. Promotes and evangelizes a culture of excellence, data driven discussions, healthy skepticism, intellectual curiosity, knowledge sharing, and teamwork. Stays current with emerging trends in analytics, statistics, and machine learning and applies them to business challenges. Consistent exercise of independent judgment and discretion in matters of significance. Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary. Other duties and responsibilities as assigned. Employees At All Levels Are Expected To Understand our Operating Principles; make them the guidelines for how you do your job. Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services. Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences. Win as a team make big things happen by working together and being open to new ideas. Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers. Drive results and growth. Support a culture of inclusion in how you work and lead. Do what's right for each other, our customers, investors and our communities. Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Skills Google BigQuery; Data Visualization; Hypothesis Testing; Data Analysis; Structured Query Language (SQL); Actionable Insights; Presentations Salary Pay Range: This job can be performed in California with a good faith estimated pay range upon hire of $89,718.80 - $119,625.06 USD. Comcast intends to offer the selected candidate base pay within the posted range for this role at the time of posting dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 5-7 Years