Qureos Mentor

Intuit

<div><h2 class="jobSectionHeader">Overview</h2>
Intuit enables millions of small and mid-sized businesses to grow through marketing automation and customer intelligence. As we accelerate toward becoming an AI-driven platform, Product Data Science must evolve to operate at a new level of technical sophistication, scale, and strategic influence. 
We are seeking a Principal Data Science Leader to partner with the leadership team and lead the AI transformation of the Product Data Science organization. This leader will modernize how data science is practiced by advancing modeling capabilities, experimentation rigor, generative AI adoption, and scalable decision systems while driving measurable revenue, growth, and expert network outcomes. 
This role requires a proven track record of building durable data science capabilities and production-grade solutions, not just delivering analyses. The ideal candidate will elevate the craft across the organization, establish higher technical standards, and position data science as a strategic force multiplier for product, growth, and expert performance. 
Responsibilities
Strategic Leadership<ul><li>
Define and lead the multi-year vision for Product Data Science, aligning AI, modeling, and experimentation investments with product strategy and measurable business outcomes.</li><li>
Partner with Data Science leadership to transform the function into an AI-native organization by modernizing tools, workflows, technical standards, and scalable decision systems.</li><li>
Outcome-Driven Product Impact</li><li>
Own revenue and growth accountability for data science-driven initiatives, ensuring modeling, experimentation, and AI investments are directly tied to measurable business outcomes and prioritized for maximum impact.</li><li>
Lead the rapid development and deployment of predictive models, causal inference frameworks, and LLM-enabled solutions, leveraging modern AI tools to accelerate learning velocity and reduce time from insight to decision.</li><li>
Drive a high-speed experimentation culture, balancing rigor with agility, so teams continuously test, learn, and iterate. Translate insights into scalable impact with clear post-launch accountability.</li></ul> 
Expert Optimization<ul><li>
Build and own the data science framework for expert optimization: connecting expert skill signals, product and tool usage patterns, and downstream performance outcomes into a unified model of expert quality and capacity.</li><li>
Develop skill-to-outcome models that link expert proficiency across product domains (tool adoption, workflow adherence, knowledge depth) to measurable service quality metrics, enabling targeted coaching, routing, and capacity decisions.</li><li>
Partner with Expert Network and Operations leadership to translate expert behavioral signals (product usage patterns, interaction telemetry, knowledge assessments) into actionable intelligence. Identify which skills drive quality outcomes, which tool gaps create friction, and how to close both at scale.</li><li>
Design and scale experimentation frameworks to rigorously measure the causal impact of training interventions, tooling changes, and product investments on expert performance outcomes such as resolution quality, customer satisfaction, and proficiency scores.</li><li>
Build expert lifecycle analytics from onboarding through proficiency attainment, identifying acceleration levers and friction points that predict long-term performance and retention.</li><li>
Partner with product teams to close the loop between product and tool design and expert outcomes, surfacing where underutilization or misuse of tooling is suppressing quality and feeding those signals back into roadmap decisions.</li></ul> 
Capability Building and Craft Elevation<ul><li>
Champion and scale durable Product Data Science capabilities by establishing rigorous standards across modeling, experimentation, model governance, and AI-enabled workflows. Raise the technical bar through structured reviews, reusable frameworks, and clear quality benchmarks.</li><li>
Accelerate adoption of modern AI tools, LLMs, and automation to increase productivity, technical depth, and organizational leverage across the Data Science team.</li><li>
Mentor, develop, and retain top data science talent by fostering a culture of ownership, technical excellence, and continuous learning.</li></ul> 
Qualifications<ul><li>
10+ years of experience in Product Data Science with a demonstrated track record of personally building, shipping, and scaling high-impact models and experimentation frameworks that drove measurable revenue and growth outcomes.</li><li>
Proven experience transforming data science practices, establishing modeling standards, experimentation rigor, reusable frameworks, and AI-native workflows across teams.</li><li>
Deep technical expertise in SQL and Python, with strong command of statistical modeling, causal inference, experimentation design, and machine learning at production scale.</li><li>
Hands-on experience applying LLMs and modern AI tooling to accelerate insight generation, modeling workflows, and decision velocity.</li><li>
Demonstrated ability to influence senior cross-functional leaders and drive strategic outcomes without direct authority.</li><li>
Strong mentorship track record, with evidence of elevating senior data scientists and raising the technical bar of an organization.</li><li>
Master's degree or higher in Statistics, Computer Science, Economics, Applied Mathematics, Machine Learning, or a related quantitative field.</li><li>
Deep understanding of growth science, customer lifecycle value, segmentation, and personalization at scale.</li><li>
Experience productionizing AI-driven decision systems in complex product ecosystems.</li><li>
Familiarity with multi-product ecosystems and cross-sell and attach strategies within platform businesses.</li><li>
Experience building behavioral analytics or skill and performance optimization systems in marketplace, gig, or expert network contexts, connecting workforce supply-side signals to customer demand-side outcomes.</li><li>
Prior work with human-in-the-loop AI systems where expert or agent quality is a lever for product performance.</li></ul> 
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:<div>
Bay Area California $ 247,500- 335,000</div><div>
Southern California $ 241,000- 326,500</div></div>

Principal Data Scientist - Expert Optimization, ICS Data Science

<div>
 
 Overview
 
 
 
 This role is ideal for those at the start of their professional journey, with less than two years of industry experience who are eager to learn, grow, and make an immediate impact. As this is a general posting, we&rsquo;ll align you with a team based on your skills, interests, and career aspirations to set you up for success.
 
 
 We're cultivating a culture that prioritizes innovators, risk-takers, and imaginative thinkers. You&rsquo;ll help create solutions that transform how millions of consumers and small businesses manage their finances in cloud, platform, mobile, and SaaS environments. Working in a culture that embraces experimentation and rapid prototyping, you&rsquo;ll collaborate closely with customers and cross-functional teams, turning ideas into real impact while building the skills to launch a rewarding career.
 
 
 
 Responsibilities
 
 
 
 Frontend Engineering:
 
 
 <ul>
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 Experience developing scalable, responsive, and dynamic web-based applications
 </li>
 <li>
 Familiarity with modern frontend tools and frameworks such as React, AngularJS, or Vue.js
 </li>
 <li>
 Knowledge of HTML, CSS, and JavaScript standards
 </li>
 <li>
 Strong ability to collaborate with designers, UX specialists, and backend engineers
 
 
 </li>
 </ul>
 
 Backend Engineering
 
 
 
 <ul>
 <li>
 Experience developing web applications using server-side languages, such as Java, Python, or Node.js.
 </li>
 <li>
 Familiarity with database technologies such as MySQL, PostgreSQL, or MongoDB
 </li>
 <li>
 Understanding of RESTful API design principles and ability to work with API integrations
 </li>
 <li>
 Experience with server frameworks such as Express, Spring MVC or Django
 
 
 </li>
 </ul>
 
 Fullstack Engineering
 
 
 
 <ul>
 <li>
 Familiarity with both frontend and backend development
 </li>
 <li>
 Ability to work effectively with developers and designers, discussing application and API architectures
 </li>
 <li>
 Understanding of Agile methodologies and ability to work with Scrum teams
 </li>
 <li>
 Familiarity with tools such as Git, Jenkins, or Travis
 
 
 </li>
 </ul>
 
 Mobile Engineering
 
 
 
 <ul>
 <li>
 Experience developing applications for one or more platforms such as Android and iOS
 </li>
 <li>
 Familiarity with mobile application development frameworks such as React Native or Flutter
 </li>
 <li>
 Understanding of development tools such as XCode, Android Studio and SDK languages such as Objective-C, Swift or Java
 </li>
 <li>
 Ability to work with designers and backend engineers to integrate mobile applications with cloud-based APIs
 
 
 </li>
 </ul>
 
 Across All Tech Stacks
 
 
 
 <ul>
 <li>
 Contribute to our core products and services, as well as systems that power critical engineering operations.
 </li>
 <li>
 See your work launched and help solve meaningful problems for customers.
 </li>
 <li>
 Learn and apply proven best practices in designing, building, and supporting software projects.
 </li>
 <li>
 Receive hands-on guidance, detailed feedback, and mentorship from experienced team members.
 </li>
 <li>
 Collaborate closely with peers across disciplines and build strong, supportive working relationships.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, a related technical field, or equivalent practical experience.
 </li>
 <li>
 Foundational understanding of Agile development, object-oriented design, and programming principles.
 </li>
 <li>
 Coursework, internships, personal projects, or academic experience with one or more programming languages (e.g., Java, Python, JavaScript, C++, etc.).
 </li>
 <li>
 Basic knowledge of front-end web technologies (e.g., HTML, CSS, JavaScript) and familiarity with frameworks or tools is a plus.
 </li>
 <li>
 Strong written, verbal, and collaboration skills with the ability to work effectively in a team environment.
 </li>
 <li>
 Awareness of AI concepts and a basic understanding of capabilities like Generative AI.
 </li>
 <li>
 Willingness to learn and adapt to new priorities, tools, and technologies in a fast-paced, dynamic environment.
 
 
 </li>
 </ul>
 Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at [1] Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Bay Area California $55.50- 75.00 Southern California $53.50- 72.00 New York $57.50- 78.00 References Visible links 1. https://www.intuit.com/careers/benefits/full-time-employees/ Mountain View $55.5 - $75
 
 
 Atlanta, GA $46.5- $62.5
 
 
 New York $57.5- $78
 
 
 San Diego, CA $53.5- $72
</div>

Software Engineer 1

<div>Category Sales Location Plano, Texas Job ID 19836</div>
 <div><div><h2 class="jobSectionHeader">Company Overview</h2>
<div>Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
</div></div><div><h2 class="jobSectionHeader">Job Overview</h2>
We are recruiting an experienced sales executive to join Intuit for a full time remote position as a Partner Development Sales, Senior Associate role focused on selling Intuit products and solutions to US Accounting firms. 
Intuit provides a comprehensive and robust financial platform for accounting firms and their SMB clients, leveraging cloud technology for workflow automation, integration and powerful AI driven data insights. The ecosystem platform includes: 
<ul><li>
Certified financial accounting and reporting, payroll administration, merchant account services, POS, and order to cash and inventory management</li><li>
Tax preparation and consulting</li><li>
Data insights and industry benchmarking from millions of existing SMBs on the platform</li><li>
Extensive integrated partner apps with an open API</li></ul> 
Our workflow and client collaboration solution provides efficiencies and insights to help accounting firms consult and advise SMB clients helping them grow their customer base, revenues, improve profitability and reduce technology risks. The enhanced client consulting by the firms using our solution improves firm revenue and profitability per client by as much as 10x and assists in growing their client base. The solution investment for firms and their clients range from a few hundred dollars per year, up to tens of millions, based on the size of the firm&rsquo;s client base. 
Responsibilities<ul><li>
Our Partner Development Sales, Senior Associate role is responsible for taking prospective US Accounting firms through an end-to-end, formal and consultative sales process resulting in an enterprise decision to adopt our solution and employ a professional services engagement for implementation</li><li>
Consultants are responsible for developing relationships with firms currently using competitor and/or legacy desktop products and creating urgency to start purchasing Intuit cloud based solutions.</li><li>
This role primarily consists of taking sales meetings scheduled by our Lead Development Representative team in order to lead a discovery conversation with both new and existing accounting and bookkeeping firms located throughout the United States.</li><li>
Along with executing the sales process, the Partner Development Sales, Senior Associate is responsible for strategic sales process management via planning, forecasting and maintaining a comprehensive opportunity pipeline leveraging our CRM &ndash; Saleforce.com</li><li>
This role requires making outbound dials to prospect for new leads as needed</li><li>
This role may require assisting with customer inbound calls as needed</li><li>
High quality lead generation, nurturing and sales enablement tools are leveraged during all phases of the sales process</li></ul> 
Qualifications<ul><li>
1+ year of Software Sales experience (Accounting industry experience preferred)</li><li>
Experience with selling Cloud Solutions B2B (preferred)</li><li>
Strong consultative solution selling skills, Ability to lead complex/long sales cycle, value creation and contract negotiations, Proven enterprise sales experience with history of exceeding sales quota</li><li>
Build, Manage and Maintain Strong Sales Pipeline, Strong practical experience in sales methodology, Sales tools/Strategy, Forecasting and Execution</li><li>
Excellent presentation skills, demonstrated collaborative skills with ability to influence and work cross-functionally</li><li>
Strong knowledge and experience dealing with &ldquo;C&rdquo; levels a plus</li><li>
Competent and practical usage expertise of Salesforce.com</li><li>
Bachelor&rsquo;s degree (preferred)</li><li>
A strong interest and understanding of AI technology is a plus</li></ul> 
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. 

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Partner Development Sales, Senior Associate

Join Intuit and explore 5   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Intuit

About Company

Principal Data Scientist - Expert Optimization, ICS Data Science

Software Engineer 1

Software Engineer 1

Software Engineer 1

Partner Development Sales, Senior Associate