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Director Engineering, Business Platform Services
Director Engineering, Business Platform ServicesIntuit • Mountain View, CA, United States
Director Engineering, Business Platform Services

Director Engineering, Business Platform Services

Intuit • Mountain View, CA, United States
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Director Engineering, Business Platform Services

Join to apply for the Director Engineering, Business Platform Services role at Intuit.

Company Overview

Intuit is a global platform company that is on a mission to power prosperity around the world for consumers, small businesses and the self‑employed. Across our leading brands – Turbo Tax, Credit Karma, QuickBooks, and Mailchimp – Intuit serves over 100M customers and is one of the few companies in the world to have both a thriving consumer and small business ecosystem. Intuit is known for its innovation track record, customer centricity, and its consistent recognition as a top place to work.

Overview

The Intuit Global Business Solutions Group (GBSG) is responsible for generating over half of Intuit’s global revenue. Flagship brands include QuickBooks and Mailchimp, and our vision is to be the connected E2E platform that small and medium‑sized businesses rely on every day to run and grow their businesses — doubling their revenue and profitability. GBSG is uniquely positioned to be the source of truth by addressing fundamental customer needs of finding customers, getting paid, getting access to capital, accessing expert advice, remaining compliant and organized, and getting their work done.

As the leader for the Biz Platform capabilities, this leader and team will own the core foundational constructs of the business platform. Multiple applications and teams leverage this today - starting from the Solopreneur solution all the way to the enterprise solution. This set of capabilities will be at the heart of delivering customer value from a data and AI perspective, as well as a key enabler for growth for the multiple business lines. The leader has to work closely with product and business teams, be able to transparently manage multiple business stakeholders, drive alignment on roadmaps and accelerate delivery of the outcomes.

Technology Strategy : Lead the technical strategy and guide the delivery and enhancement of AI‑powered solutions and services. Drive target state technical architecture for durable platform capabilities to serve multiple application teams and millions of customers, embodying a mindset of creating acceleration for multiple business lines.

Organizational Leadership : Influence teams and leaders across Intuit to revolutionize product and service experiences by centering on platform enablement. Collaborate with senior engineering and business leaders to enact organizational and structural changes and nourish robust engineering teams.

Boundary‑less Leadership : Foster boundary‑less leadership by closely working with multidisciplinary teams across Product Management, Design, and Technical Program Management to help ensure satisfying customer outcomes. Actively engage in external developer, partner, and tech communities to fuel innovation and drive customer results.

Platform Mindset : Champion an open platform fostering contributions from within and outside Intuit. Propel company‑wide initiatives like platform and data architecture, and process improvements.

Operational Excellence : Elevate operational standards to make services and products more secure, available, scalable, resilient, and performant. Inspire team innovation and help ensure the delivery of quality at speed across product offerings and platform services.

People Leadership : Recruit top talents, provide coaching, and build a high‑performing organization. Actively participate in Intuit’s talent development, executing successful strategies through diligent planning, attention to detail, efficient delegation, rubric development, and fostering individual / team accountability.

Speed as a Habit : Operate in a high‑velocity environment, make quick, informed decisions, and move swiftly to deliver quality outcomes.

Compensation

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, CA : $297,000.00 - $402,000.00.

Qualifications

Bachelor’s degree in computer science or a related field, along with at least 15+ years in the software industry, building scalable and high‑performing tech solutions, and a minimum of 5+ years in an executive leadership role.

  • Demonstrated ability to deliver high‑quality SaaS and PaaS platforms serving millions of customers and leveraging AI to innovate and transform product experiences and capabilities.
  • Proven experience partnering with senior engineering and business leaders to influence organizational decisions and build high‑performing engineering teams with the ability to lead, influence, and drive significant change across large and distributed development teams.
  • Proficiency in making informed and swift decisions considering all key stakeholders (employees, customers, shareholders, partners) and evidence of making successful trade‑offs between short and long‑term product goals.
  • Extensive experience operating and driving operational excellence and large‑scale process improvements through innovative products and instigating behavioral changes.
  • Understanding and implementing cutting‑edge technology using Agile processes, leading to faster innovation, valuable outcomes, reduced risks, and improved operational efficiency.
  • Experience building products on public cloud platforms such as AWS or Google Cloud, leading data engineering and analytics teams with the ability to use data insights for product refinement.
  • Demonstrable competency in establishing technology sourcing directions for the product division and providing context for related decisions.
  • Profound understanding and knowledge of industry‑leading technology / solutions, practices, architectures, and emerging technology trends in big data and machine learning.

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