Director of Engineering, AI Infrastructure

  • Full Time

About, together with its wholly owned subsidiaries Divvy and Invoice2go, is focused on being the one stop shop that simplifies, digitizes, and automates complex financial operations for small and midsize businesses. Customers use the platform to manage end-to-end financial workflows and to process payments. The AI-enabled, financial software platform creates connections between businesses and their suppliers and clients. It helps manage cash inflows and outflow. The company partners with several of the largest U.S. financial institutions, the majority of the top 100 U.S. accounting firms, and popular accounting software providers. has its headquarters in San Jose, California with offices in Houston, Texas, Draper, Utah, and Sydney, Australia.

Mission: is seeking a talented Director of Engineering, AI Infrastructure to build our ML and infrastructure to  help us scale our AI technology to the next level. In addition, this role will be responsible for developing and maintaining 2-3 strategic microservices.


Role and Responsibilities:


  • Lead a team of ML infrastructure engineers and software engineers responsible for building, maintaining and improving AI infrastructure and development framework
  • Introduce relevant 3rd party tools and new in-house capabilities to improve development, deployment and monitoring process for ML
  • Work with product managers, designers, architects, security team, and other engineering managers to deliver on a fast paced sprint cadence
  • Develop your engineers through coaching, mentoring and performance management.
  • Work with Talent Acquisition to hire engineers and interns as you scale the team.
  • Maintain high standards for operational excellence and engineering rigor through high quality, security and performance.
  • Serve as the scrum master for your team’s deliverables and take ownership from design through development and production support.
  • Review plans and code and provide technical guidance to your engineers.
  • Present on plans, progress and outcomes at monthly reviews and company meetings.
  • Location: Can be in one of the BDC locations – Bay Area, Houston Area, Salt Lake City

    Professional Experience/Background to be successful in this role:


  • BS/MS/PhD in Computer Science or Engineering
  • 8 years overall experience with at least 3 years in a management role and previous experience as a software developer.
  • Experience leading teams with 5+ engineers in a fast paced SaaS environment.
  • Track record for delivering platform initiatives with high quality and scale with multiple production deliveries per month.
  • Experience working with development, QA, dev ops, tech ops, program management and product management in an agile scrum model.
  • Experience with AWS, GCP or Azure. AWS is preferred.
  • Experience with Microservices and distributed systems.
  • Experience working with AI/ML methodology, deployment practices and performance monitoring at scale
  • Experience with Big Data technologies, Sagemaker, ML pipeline
  • Graph Databases, Amazon Neptune experience preferable
  • Strong communication skills, written and verbal, and confidence presenting in group settings.
  • Experience in FinTech or B2B is a plus but not required.

    Expected Outcomes 30-90 Days


  • Learn the product and business domain.
  • Learn the current technology direction and platform infrastructure.
  • Work with the team to understand our existing framework, stack and APIs
  • Assume scrum-master responsibilities for your team’s deliverables.
  • Work across Engineering to ensure successful deliveries to production.
  • Build relationships with cross functional partners to understand the full picture of the areas of ownership.
  • Develop and mentor talent within the team allowing them to grow.
  • 1 Year
  • Develop a technology roadmap (to support business objectives) that modernizes our tech stack and provides scale, performance and opportunities for our engineers to do the best work of their lives.  
  • Actively partner with AI leadership, product management and other engineering leaders to influence feature definition and implementation of AI platforms.
  • Build strong tooling and monitoring capabilities to the scaling AI platform
  • Integrate 2 other products into the AI platform
  • Understand and propose business model for the business directory to be used beyond the current use cases
  • Build a strong team of high performing engineers



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