VP Engineering and R&D - AI Startup

C-Plan.IT

$120K — $180K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master or Ph.D. in a quantitative field such as Computer Science, Mathematics, or Engineering
  • Experience in AI, focusing on expert systems and knowledge management
  • Proven track record in managing teams of data scientists using Agile methodologies
  • Prior startup experience with a history of driving innovation
  • Enthusiastic about working with emerging technologies
  • Familiarity with SBIR NSF grant models

Responsibilities

  • Develop a deep understanding of customer needs to shape product vision
  • Collaborate with leadership to establish technology architecture and build components
  • Engage actively in coding and fixing bugs in the early stages of development
  • Recruit and nurture a high-performing team of engineers and designers
  • Lead the R&D for patented intellectual property that provides competitive edge
  • Promote a culture focused on delivering exceptional product value and experiences
  • Communicate technology vision and capabilities to stakeholders
  • Keep abreast of advancements in AI and data management technologies

Benefits

  • Opportunity to shape a market-leading cloud-based software product
  • Work alongside seasoned Silicon Valley entrepreneurs with exit experience
  • Receive mentorship from industry thought leaders
  • Participate in equity offerings within a high-potential venture
  • Contribute to a socially responsible company with a philanthropic framework
  • Thrive in a remote-friendly work culture established before the pandemic
Full Job Description
Job Description

Are you a technology leader who is not only passionate about AI but is also excited to be at the forefront of solving one of the most challenging problems that have plagued IT for years and could result in organizations becoming highly challenged or possibly extinct as digital transformation sweeps every sector?

Are you looking for a role with the opportunity to:
  • Execute core research in AI knowledge management that leads to patentable technologies?
  • Take an idea from research to a commercially successful cloud-based enterprise software product?
  • Build a solution that will have a meaningful impact on one-third of the US economy - both for-profit and not-for-profit organizations?

Are you seeking the potential to:
  • Be the first to bring a unique combination of AI and data management to the market?
  • Work with experienced, successful Silicon Valley entrepreneurs with 4X startup experience leading to IPO and acquisition exits?
  • Be mentored by a team of research advisors known in the industry as thought leaders?
  • Participate in a Silicon Valley-style equity opportunity within a venture with the potential for significant value creation?
  • Work with a company built around a remote model before COVID-19 made it a requirement?
  • Give back to your community through a 1-1-1 philanthropic model as pioneered by Marc Benioff's Salesforce?


Qualifications

The Essentials:
  • Master or Ph.D. in Computer Science, Mathematics, Physics, Engineering, Statistics, Operation Research or other equivalent quantitative fields
  • Experience in AI with a demonstrated understanding of expert systems, knowledge management, and digital assistants
  • Experience managing a team of data scientists and AI researchers and engineers using Agile methodologies and tools
  • Previous startup experience with a proven track record of leading teams that drive innovation and deliver products in a fast-paced, high-energy environment
  • Excited to work with new technologies and approaches
  • Experience working within an SBIR NSF (Small Business Innovation Research - National Science Foundation) Program grant award model

Responsibilities:
  • Get to know our customer (or know them already) and use that empathy to inform shaping the product's vision and requirements and building an exceptional product
  • Serve as a thought leader and technology strategy driver along with the CEO and Co-Founders to make decisions on the product technology architecture including building block components - with a preference for open source technologies
  • Build, build, build - especially in the early days, you will be rolling up your sleeves and writing code, from core platform to fixing bugs
  • Help form a top-performing team of talented and responsible software engineers, data scientists and product designers, and provide them the freedom to be creative and innovative
  • Lead product engineering including research and development of unique proprietary and patentable intellectual property that yields competitive advantages
  • Embody the company's culture and mission by fostering a culture that is passionate about building awesome products that deliver measurable value and a customer experience that delights
  • Evangelize the company's technology vision, roadmap and capabilities with customers, investors, employees, and other stakeholders
  • Stay current on technology advances in the field of AI - especially digital assistants, knowledge engineering, data-driven reasoning, expert systems - and in the field of data management - including column databases and other advanced decision analytics technologies


Additional Information

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