TL;DR

Manager 3, AI Science (AI): Leading and growing AI science and ML engineering teams for %hirify_global%’s Virtual Expert Platform with an accent on technical and strategic leadership, fostering innovation, and delivering breakthrough AI-powered experiences at scale. Focus on building end-to-end AI systems, aligning team priorities with the AI roadmap, and driving measurable impact through scalable solutions.

Location: Mountain View, California

Company

%hirify_global% is a global financial technology platform powering prosperity for approximately 100 million customers worldwide with products like TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

Provide technical and strategic leadership across multiple AI Science and ML Engineering teams.
Lead global teams to deliver transformative AI experiences for %hirify_global%’s customers.
Build and deploy end-to-end AI systems integrated into %hirify_global%’s products and AI platforms.
Shape and align team priorities with %hirify_global%’s AI roadmap, ensuring impactful research and scalable solutions.
Recruit, develop, and retain top AI talent, fostering career growth and building high-performing teams.
Collaborate closely with business and platform stakeholders to guide AI-first solutions.

Requirements

MS / Ph.D. in Computer Science, Statistics, Operations Research, or Applied Mathematics with a focus on Artificial Intelligence / Machine Learning.
8+ years of experience in developing and deploying AI/ML solutions, with 5+ years of leadership experience.
Proven ability to design, build, and deploy large-scale end-to-end AI Systems.
Experience building, managing, and scaling high-performing AI teams (AI Scientists, Machine Learning Engineers, Software Engineers).
Strategic leadership skills with a track record of defining priorities and driving execution.
Proficiency in AI frameworks, platforms, and tools with a strong understanding of engineering best practices.
Strong communication and collaboration skills with the ability to influence executives and inspire teams.
Strong Computer Science / Data Science fundamentals including data structures, algorithms, performance complexity, data analysis, model training, A/B testing, and MLOps practices.

Culture & Benefits

Competitive compensation package with a strong pay for performance rewards approach.
Eligible for a cash bonus and equity rewards in accordance with applicable plans and programs.
Comprehensive benefits package.
Focus on fostering career growth and building high-performing teams.