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Sand Technologies

Enterprise AI solutions, automation and analytics

Vice President, Application Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeUnited StatesNo salary listed

About the Job

Requirements

  • An advanced degree in Computer Science, Engineering, or a related technical field.
  • At least 10 years of technical experience in software engineering, data science, or a relevant technical field, with a strong understanding of software development, information technology, and data engineering principles.
  • Proven leadership experience building, managing, and scaling highly technical teams.
  • Demonstrated success building and nurturing senior-level client relationships, with a track record of delivering AI and software programs that achieve tangible business outcomes.
  • Experience delivering on or building platform-based products and reusable components.
  • US-based, with eligibility to work in the United States.
  • Deep expertise in data science, artificial intelligence, and related technologies; ability to manage end-to-end delivery of complex AI programs with a focus on client value, innovation, and operational excellence.
  • Strong commercial acumen and ability to scope and sell AI projects, craft compelling proposals, and work with clients to understand strategic challenges.
  • Ability to navigate cross-functional teams, manage stakeholders, and align delivery with client expectations and company goals.
  • Ability to understand complex industry challenges, create solutions, and translate them into actionable client strategies.
  • Ability to engage and influence senior executives and translate technical AI concepts into business-focused discussions.
  • Ability to provide industry intelligence on competitive offerings and market trends.
  • Ability to support technical team growth and development, including skills development and succession planning.
  • Comfort operating in small teams and contributing to larger, globally coordinated efforts; disciplined communication through virtual collaboration tools and video conferencing.

Responsibilities

  • Lead and oversee end-to-end delivery of application engineering on the Symmetri platform, ensuring quality, timeliness, and client value; manage technical teams and resource efficiency, and align initiatives with clients’ strategic, business, and regulatory goals.
  • Establish patterns, reusable components, and delivery practices that enable teams to solve customer problems with the Symmetri platform’s core tools rather than rebuilding from scratch.
  • Build the US Application Engineering function; attract, hire, develop, and retain engineers and scientists, and create the standards, career paths, and culture needed to scale the capability.
  • Use client insights gathered in the field to inform product roadmaps in partnership with Product.
  • Partner with go-to-market teams to pursue and win US business, present solutions to public- and private-sector clients, scope projects, develop proposals, secure new clients, and contribute to account growth and expansion.
  • Build trusted relationships with senior client stakeholders, drive client satisfaction, and act as a strategic technical advisor helping clients realize the potential of AI.
  • Drive continuous improvement and technical innovation, and lead proofs of concept supporting product development and deployment.
  • Manage timelines, resources, budgets, and delivery quality to support client satisfaction and scalable solutions.
  • Contribute market insight on competitive offerings and trends to product roadmaps and go-to-market strategies.
  • Build a product-engineering culture focused on reusable components that reduce time to value, accelerate deployment, and improve gross margins.

Desired Qualifications

  • Experience in dynamic, high-growth environments, including new ventures or scaling businesses, is highly advantageous.

About the Company

Sand Technologies

Enterprise AI solutions, automation and analytics

Sand Technologies provides AI solutions for enterprises and industries, using advanced data science to help clients automate processes, generate predictive insights, and build custom models. Its products are tailored AI applications that combine automation, predictive analytics, and specialized modeling to meet each client’s needs. The company serves large corporations and niche sectors worldwide, differentiating itself through customized, scalable AI deployments rather than one-size-fits-all products, and by building long-term partnerships. The goal is to help clients solve complex challenges, improve efficiency, and drive innovation by adopting scalable AI solutions under project-based, subscription, and long-term service contracts.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
2023

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