Founding Solutions Architect

Full-time
Remote
$220,000-320,000/mo
Austin, TX
No visa sponsorship

Benefits

Equity / Stock Options
Other

Job description

Job Description

Founding Solutions Architect


  • Employment Type: Full-time

  • Work Location: Remote | Austin, TX


About This Role

We are looking for a Founding Solutions Architect with 1-5 years of experience to be the technical face of Agnify — turning customer video problems into working solutions and closing deals. You'll join as the first GTM hire at a 3-month-old company that's raised $5M to build the observability layer for the physical world using AI and existing cameras. This is a true 50/50 sales-engineering hybrid role where you'll scope use cases on factory floors, build proofs of concept, and help define how we sell. You'll report directly to the founder and help drive the company toward $1M ARR selling into mid-sized manufacturers and logistics companies.


What Will You Be Doing?

  • Visit customer sites (factories, logistics centers) to deeply understand their video use cases, refine requirements, and make hardware recommendations (cameras, edge devices, network setup)

  • Build live demos and proofs of concept against real customer footage, then translate customer needs into clear specs for the engineering team

  • Own the technical sales motion end-to-end — from first discovery call through signed contract — for deals averaging $50-100K ACV

  • Support outreach and hypothesis generation including cold calls, conference visits, and working with agencies to generate pipeline

  • Upsell existing customers on new use cases (e.g., expanding from equipment utilization tracking to quality control) to reduce churn and grow account

More information

Minimum education level

Bachelor's

Experience level

Mid-level (3-4 years)

Job skills

Forward Deployed Engineer

Solutions Architect

Sales Engineer

selling to manufacturing buyers

Customer-facing technical solutions engineering experience

Solution sales experience in manufacturing

Sold into industrial, or physical security verticals

Experience at a video/camera/IoT company

Familiarity with camera hardware, edge devices, or network setup

Has written code before (any language)

Video AI / Computer Vision, Data Pipelines

Certifications

Engineering or CS degree (or equivalent technical aptitude signal)