Intuit

About the Company

Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief.

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Listed Jobs

Company Name

Intuit

Job Title

Senior Account Manager

Job Description

**Job Title:** Senior Account Manager **Role Summary:** Lead outbound sales for mid‑market B2B SaaS clients, owning the full pipeline from prospecting to close. Act as a founding member of the Canadian go‑to‑market squad, driving revenue growth and upmarket expansion for an omnichannel marketing platform. **Expectations:** *Consistently meet or exceed quarterly quota, generate new logos, and build a robust pipeline of high‑fit opportunities within the assigned territory.* **Key Responsibilities:** - Develop and close new mid‑market opportunities across the entire sales cycle. - Design and execute a multi‑channel outbound strategy to generate qualified leads. - Conduct engaging demos of email, SMS, and transactional products, translating product benefits into ROI for prospects. - Use value‑based selling; provide data‑driven insights, social proof, and ROI calculations. - Serve as trusted advisor, leveraging deep marketing knowledge to consult with prospects. - Collaborate with cross‑functional teams to refine product messaging and positioning as the Canadian market matures. - Maintain accurate, real‑time data in CRM; report pipeline status and forecasts. **Required Skills:** - 7+ years of new‑logo B2B SaaS sales experience in a full‑cycle hunter role. - Proven record of hitting or exceeding quota in fast‑paced, high‑volume settings. - Strong business acumen and marketing expertise, especially with mid‑market companies. - Exceptional communication—verbal and written—plus ability to explain complex concepts simply. - Creative, collaborative, and highly competitive. - Comfortable working in ambiguity and quickly applying feedback to improve performance. **Required Education & Certifications:** - Bachelor’s degree in Business, Marketing, or a related field (or equivalent experience). - No mandatory industry certifications, though familiarity with SaaS CRM platforms (e.g., Salesforce) is preferred.

Toronto, Canada

On site

Senior

17-12-2025

Company Name

Intuit

Job Title

Machine Learning Engineer 2

Job Description

Job Title: Machine Learning Engineer 2 Role Summary Collaborate with data scientists to prototype, productionalize, enhance, and maintain machine learning models at scale, ensuring data readiness, pipeline automation, and robust performance metrics. Expectations Deliver end‑to‑end machine learning solutions, from data acquisition to deployment. Conduct A/B tests and statistical analysis to evaluate impact. Maintain cross‑functional collaboration and clear communication of results. Key Responsibilities - Identify, acquire, clean, and preprocess data for ML readiness. - Build and refine feature engineering pipelines with data scientists. - Prototype models, justify algorithm selection, and define evaluation metrics. - Productionalize prototypes: scale training, automate pipelines, orchestrate continuous inference. - Enhance existing models to improve accuracy or reduce training time. - Develop ML tooling to streamline data science workflows. - Run A/B tests, perform statistical analysis, and report insights. - Work cross‑functionally with product managers, engineers, and stakeholders; communicate findings. Required Skills - Strong programming in Python (Scikit‑learn, Pandas, Numpy), TensorFlow/Keras; familiarity with R and Spark. - Expertise in data wrangling, feature engineering, pipeline construction, and model evaluation. - Solid understanding of classification, regression, clustering, and statistical analysis. - Experience with A/B testing, metric definition, and model monitoring. - Knowledge of automation (CI/CD), orchestration, and version control. - Excellent collaboration and communication abilities. Required Education & Certifications - BS, MS, or PhD in Computer Science, Data Science, or a related field, or equivalent practical experience.

Atlanta, United states

Hybrid

29-12-2025

Company Name

Intuit

Job Title

Senior Staff Product Manager

Job Description

**Job Title:** Senior Staff Product Manager **Role Summary:** Lead end‑to‑end AI product strategy for the Expert Network, driving large‑scale AI integrations that enhance the entire expert lifecycle—from onboarding to workflow automation. Own the roadmap, prioritize initiatives, and collaborate with cross‑functional teams to deliver customer‑centric AI‑enabled experiences. **Expectations:** - Deliver high‑impact AI solutions that accelerate service revenue and efficiency. - Own the product vision, roadmap, and metrics, ensuring alignment with senior leadership and stakeholder priorities. - Champion a data‑driven, iterative approach to product development, continuously improving adoption and performance. **Key Responsibilities:** - Identify and champion strategic AI opportunities across the expert journey. - Translate opportunities into prioritized roadmaps with clear KPIs. - Define product requirements that inspire engineering, design, and data science teams. - Drive end‑to‑end execution, from concept to launch, ensuring high‑quality releases. - Conduct post‑launch analysis, iterate based on expert feedback and data insights. - Monitor industry trends and emerging AI/Gen AI technologies, integrating best practices. - Influence cross‑functional teams and senior stakeholders to secure buy‑in and resources. **Required Skills:** - 8+ years product management experience, including AI solution delivery. - Proven ability to translate customer insights into product strategy and roadmaps. - Strong analytical mindset with data‑backed prioritization skills. - Excellent communication and stakeholder management; able to influence without authority. - Technical fluency in SaaS architecture, agile development, and collaboration with engineering teams. - Familiarity with AI/ML concepts; experience working with data scientists and ML engineers. - Platform product management experience is a plus. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, or related field (MBA a plus). - Equivalent professional experience considered.

Mountain view, United states

On site

Senior

30-12-2025

Company Name

Intuit

Job Title

Staff Data Scientist, Money & Lending

Job Description

Job Title: Staff Data Scientist – Money & Lending Role Summary: Provide strategic analytical leadership on growth, product, marketing and business strategy for consumer lending products. Own advanced econometric modeling, causal inference, experimental design, and predictive analytics to deliver actionable insights to senior leadership. Expectations: • Deliver measurable impact on growth KPIs and investment decisions. • Lead cross‑functional data science initiatives with boundaryless influence. • Navigate ambiguity, prioritize rigor, and mentor junior scientists. Key Responsibilities: • Define and track key business KPIs and success metrics for projects. • Design, conduct, and analyze controlled experiments, quasi‑experiments, synthetic controls, regression discontinuity and instrumental variable studies. • Build predictive models and end‑to‑end machine‑learning pipelines to uncover growth opportunities. • Translate complex results into clear, actionable recommendations for product, finance and marketing leaders. • Champion best practices and guide data science teams across the organization. Required Skills: • 5+ years of applied econometrics, statistical modeling and data‑driven decision making. • Expertise in causal inference methods (A/B testing, synthetic controls, regression discontinuity, instrumental variables, quasi‑experiments). • Advanced machine‑learning experience (predictive forecasting, explainable ML, pipeline development). • Proficiency in SQL and a statistical programming language (Python and/or R). • Strong communication and stakeholder management skills. Required Education & Certifications: • Bachelor’s degree in Statistics, Economics, Computer Science or related quantitative field (required). • Master’s or PhD in Economics, Statistics, or related discipline strongly preferred.

San francisco, United states

On site

Mid level

30-12-2025