Solutions Architect

About the Company 

 

Xailient’s breakthrough technology dramatically reduces the costs of using Computer Vision AI in real-world applications. By reducing cost, we are accelerating the next wave of technology; bringing AI to the Edge for smart sensors and devices.

 

We are on our way to installing our edge software on 50 Billion devices and we need your help!

 

Xailient is a revenue producing, VC funded start-up.

The Role in General

Xailient works with innovators and early adopter customers in the Edge computing space.  We are seeking a Solutions Architect to work with our channel partners and customers to help them adopt and integrate Xailient software.

 

The Solution Architect will meet with qualified customers pre-sale to understand their needs, charter Pilot projects, design customer solutions and roadmap to production.  You’ll explain how our technology can help them, and identify how customers can integrate our software into their environments.  Depending on the customer's needs, you might write some code or train some AI using our AutoML tools.  You’ll act as Project Manager and interface between the customers’ technical teams and Xailient.  Ultimately, you’ll have primary responsibility to ensure POCs and Pilots are delivered and customers are delighted.

 

We embrace diversity.  Part-time or full-time candidates will be considered.  We welcome candidates with family/life commitments and part-time availability, but “full-time professional passion”.

 

The team is distributed geographically, and there is considerable autonomy and flexibility in this role.  Our work hours overlap in the Pacific Timezone afternoon to early evening.

Role Details

Solution Architect

 

This is a Customer Facing role with responsibilities for solution design and project management.  Projects typically have a weekly cadence and span from 2 weeks to 6 months.

 

This role will expose you to applying AI in the real-world.  No AI engineering skills are required, but an interest is a plus.

Responsibilities:

  • Understand customer environments through technical collaboration, OEM/ODM specification review, hands-on experimentation

  • Meet with customer technical stakeholders to elicit requirements

  • Propose solutions that meets technical & business requirements

  • Collaborate with teammates to identify engineering trade-offs

  • Estimate schedules and provide status proactively

  • Consult with clients on their hardware and Edge-cloud architecture as needed to enable them to adopt Xailient software

  • Use Xailient tools to train AI and deliver SDKs

  • Review all deliverables to customers (technical and documentation) for quality and consistency

  • Cover US accounts overlap minimum 4 business hours per workday in US Pacific timezone 

 

Requirements:

  • Must have strong project management skills, be detail oriented and disciplined in process adherence

  • Must be a strong communicator, with active listening skills and an ability to draw out needs from customers

  • Must be able to write clear requirements with a combination of text and illustration

  • Must be able to explain technical concepts in a variety of ways, adapting to your audience’s learning style

  • Must be flexible problem solver, with the ability to rapidly learn about customer or 3rd party technology

  • Must be an effective multitasker, comfortable tracking multiple projects in parallel

  • Should have strong “whiteboard facilitator” skills and be comfortable leading a Zoom or a room of stakeholders

  • Should have interest in supporting Sales and be comfortable jumping on calls to back-up colleagues as the “technical expert”/subject matter expert

  • We expect you’ll be able to demonstrate these skills to us if you already have 3+ years experience as either:

    • Pre-sales Engineer

    • Post-sales Engineer

    • Technical Consulting experience

Nice to haves (not expected, but let us know):

  • Experience with Computer Vision

  • Experience coding Python a plus

  • Experience coding and/or running software on the Cloud a plus

  • Experience with TensorFlow a plus

  • Experience working with hardware channels (Chip/OEM/ODM)

  • Experience with similar data science or AI products a plus

 

Skills:

  • Customer Focus - Desire to serve customers with solutions that delight

  • Dependability - Deliver on promises, provide status proactively

  • Initiative - see a problem, solve a problem

  • Care for Quality - Care about your work and take pride in doing a good job

  • Communication - Speak up with questions or concerns, criticize constructively, know when to ask for help

  • Flexibility - Excited to learn new things and work outside of technical comfort zone, comfortable with changing priorities of a startup environment

  • Collaboration - Good ideas come from anywhere, great ideas come from collaboration

  • Creative Problem Solver - turn abstract or vague ideas into actionable objectives

  • Teamwork - No brilliant jerks, but weirdos welcome

Principals only please; Xailient is not accepting recruiter placements, nor will be responsible for recruitment fees.

or just email us at:  careers@xailient.com