VP of Technology, AI Builder

2 weeks ago

Mountain View, United States Intuit Inc. Full time

We're searching for an experienced, innovative VP of Technology (Engineering) leader who has deep SaaS experience delivering new products and experiences to the market that will be loved by millions of users. This leader will propel a high-performing team to its next phase of growth. This individual will rely on their business acumen, strategic thinking, hands-on technical/coding experience, AI proficiency and experience, and data skills to drive customer and business outcomes at scale. They will be comfortable making decisions with imperfect information, balancing precision with speed. They will leverage their expertise to guide and inspire the team, attract, and develop top talent, and be both a business leader and technology leader.

What you'll do here:

  • You'll be a hands-on technical leader leading engineers to experiment and build new AI native product experiences prioritizing learning to drive breakthrough adoption.
  • You'll collaborate with cross-functional leaders at the domain level on strategy, prioritization, and feature delivery.
  • You'll work with Engineering Directors and leaders to remove roadblocks, review roadmaps, articulate business outcomes and establish measures of success.
  • You'll recognize the value of transparent, honest communication and the necessity of sharing information.
  • You'll participate with peers to ensure the organizational structure is a help, and not a hindrance, to getting work done.
  • You'll continually explore innovative business practices and determine fit for team and company.

Responsibilities:

Technology and Product Delivery: Define and deliver AI native product experiences with rapid experimentation and execution velocity to deliver timely business outcomes for the needs of customers for Mailchimp and Intuit’s flagship offerings like QuickBooks Online. These capabilities will then be widely adopted and used by millions of current and future customers.

AI Native Design: Emphasize development of AI Native solutions which leverage AI to the fullest extent to deliver customer benefit. Drive teams to start with AI Native design, and hold teams accountable to implementation of critical elements in support of the design including building data pipelines to power AI models, user experience design to enable AI powered interactions, instrumentation of the product to capture and incorporate feedback, and rigorous testing for ensuring production grade AI systems.

Boundaryless Collaboration: Able to operate in a complex org structure and collaborating with multiple stakeholders globally. Partner with business and technology teams to prioritize roadmaps, requirements, balancing business needs with financial and technology constraints. Establish alignment of vision, strategy & delivery working with cross-functional teams (PM, PD, XD, Care..) and stakeholders, including senior leaders across geographies.

Operational & Engineering Excellence: Result-oriented and deliver huge outcomes. Sets clear objectives and goals for the team and enables the team to deliver and use operating mechanisms to continually assess progress and improve. Establishes the data driven processes needed to achieve operational & engineering excellence. Foster Engineering culture within the team and across organizations.

Build a high-performance culture: Lead, develop and inspire a team of 20+ engineers. Grow and coach engineering talent, acts as a talent magnet to attract, nurture and retain senior talent including Engineering Directors, managers, engineers, and architects. Develops and drives strategy to hire, develop and mobilize talent for the organization.

Speed as a Habit: Can operate in a fast-moving environment, make quick data driven customer backed decisions and execute fiercely to deliver outcomes.

Customer Obsession: Is a staunch advocate for the developers and customers. Stays close to customer problems and solves for them with urgency.

Minimum Qualifications:

  • Have a firm understanding of AI native system design principles including data requirements, evaluation and monitoring, and UX design.
  • Demonstrated ability to partner with experts in various fields including security, architecture, AI and Data to drive outcomes.
  • Demonstrated ability to deliver customer outcomes with AI and data powered experiences.
  • Knowledge and familiarity with principles of responsible AI, end-to-end AI deployments, scaling AI, and AI system design.
  • Ability to be hands-on and articulate a clear vision, define success and prioritize what’s most important while operating under extreme ambiguity and time pressure.
  • Skilled in creating strong partnerships, influencing stakeholders, and driving business outcomes across data, product, XD, marketing, and sales.
  • Demonstrated ability to operate with high level objectives and deliver with velocity.
  • Demonstrated ability to deliver bold, innovative outcomes.
  • Demonstrated ability to drive big transformations - organizational, technology, business outcomes.
  • Exceptional business acumen, strategic thinking, and ability to identify patterns and opportunities across a complex ecosystem of products and services.
  • Demonstrated outstanding craft delivering SaaS at scale.
  • Have a firm understanding of systems engineering and high-availability design.
  • Experience in operating at different levels of altitude across the entire software development lifecycle.
  • Demonstrates ability to research & learn new technologies and business processes independently and apply them as needed.
  • Passion for facilitative leadership, collaboration and lead teams across boundaries.
  • Demonstrated ability to communicate and collaborate at all levels - from front line engineers to senior leaders and executive leadership.
  • Able to operate strategically and tactically in the details.
  • You have a minimum BS degree in Computer Science, CE or EE, MS degree preferred.
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