Senior Engineering Manager, Applied AI Platform

2 months ago

San Francisco, California, United States Block Full time

Company Description
Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams - People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more - provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.
Job Description
All of Block's product services are organized into business units with their own product and engineering teams. Underneath, there's a connected platform team that supports the company. We are that platform. Within the platform, our team's focus is on using AI to accelerate productivity across the company, automating routine tasks like knowledge retrieval and code migrations. Our team works cross-functionally across Block's business units to deliver the most impactful tools to developers, and oftentimes working closely with teams to understand specific needs, and then generalizing those across Block.
We're looking for an enthusiastic and experienced Engineering Manager to lead our AI-driven initiatives, focused on enhancing engineering velocity. You will manage several squads of engineers collaborating with other internal teams, as well as a core squad working on a horizontal platform component. This unique opportunity will require you to build and maintain relationships with teams throughout Block and external vendors to collaborate on delivering highly visible and leveraged tools, as well as keep up with evolving AI technology. You'll provide strategic guidance to teams on what is possible with AI and help drive their AI product direction, in addition to overseeing the development of those applications. This is an exciting opportunity to transform the developer experience at Block and become a company expert in AI
You Will:

  • Lead a team of ML engineers to apply AI to Block's internal use cases
  • Direct the development of a scalable AI platform to host both internal and external facing use cases
  • Define the future of AI at Block as a part of a newly formed company-wide initiative
  • Prioritize opportunities to improve internal productivity and engineering velocity by designing novel AI solutions to automate complex processes
  • Collaborate across diverse teams to develop AI solutions by understanding and generalizing the problems of cross-functional stakeholders
  • Lead AI innovation by building and open sourcing advanced frameworks and tools to enhance internal workflows and set industry standards
  • Drive alignment with Block's AI strategy by acting as a company AI expert and educating other teams about how to apply cutting-edge AI to their domains

Qualifications
You Have:

  • 7+ years of experience in training and deploying ML models, ML software development, and building customer facing ML applications. Deep understanding of modern ML techniques (e.g. Large Language Models) and the ML lifecycle from data gathering, training, model evaluation, MLOps, and productionizing models.
  • 3+ years of experience managing engineering teams
  • Entrepreneurial mindset, with demonstrated expertise taking data products 0 to 1 and a bent for agile development
  • A desire to understand our clients' needs in order to design tools and systems that solve our customer's problems. As a platform team, our customers are internal developers and products.
  • Experience using any of the major cloud vendors for high scale production use cases
  • Strong communication skills (verbal and written) with technical and non-technical stakeholders.

Qualifications
You Have:

  • 7+ years of experience in training and deploying ML models, ML software development, and building customer facing ML applications. Deep understanding of modern ML techniques (e.g. Large Language Models) and the ML lifecycle from data gathering, training, model evaluation, MLOps, and productionizing models.
  • 3+ years of experience managing engineering teams
  • Entrepreneurial mindset, with demonstrated expertise taking data products 0 to 1 and a bent for agile development
  • A desire to understand our clients' needs in order to design tools and systems that solve our customer's problems. As a platform team, our customers are internal developers and products.
  • Experience using any of the major cloud vendors for high scale production use cases
  • Strong communication skills (verbal and written) with technical and non-technical stakeholders.

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