Video Product Specialist Job at Topaz Labs in Dallas

We're Topaz Labs, an AI tech company that builds one‑click image and video quality software with deep learning. Over 1 million photographers and designers trust us, including teams at Apple, Netflix, NASA, and more.

We're looking for a smart and motivated Product Specialist to help customers succeed with Topaz Video AI.

Responsibilities

• Answer questions and create tutorials, videos, and other documentation to help customers succeed.
• Proactively identify opportunities to improve the customer experience and own the process of implementing them.
• Collaborate cross‑functionally with product, marketing, and customer operations to grow the role into a higher‑leverage position.

About Us

• Rocketship growth and opportunity for impact ($3 M → $48 M revenue in six years).
• Over 1 million customers, including Nvidia, NASA, Google, have used us for over 1 billion photos.
• World‑class team that executes quickly, obsesses about the customer experience, and promotes from within.
• Profitable company with infinite runway.

About You

• You're a videographer, editor, designer, or artist that would use our software.
• Familiarity with Video AI or other Topaz Labs products is a plus, but not necessary.
• Knowledge of colorspace and video file types is a plus.
• You have an unusually strong work ethic and think from first principles and focus on core issues.
• You have excellent writing.
• Comfortable with software such as Premiere, After Effects, Photoshop, DaVinci Resolve, Fusion, Vegas, Natron, Final Cut, Nuke, etc.
• Portfolio: written documentation examples & editing/compositing reel.

Nice to Have

• Read Delivering Happiness, Made to Stick, Setting the Table, The Art and Science of Digital Compositing (or equivalent).

Location & Benefits

Full‑time onsite role in Dallas, TX. We offer strong base salary, significant ownership that scales with company growth, 100 % covered medical/dental/vision, 15 days annual PTO plus holidays, and 401 k matching.

We may use artificial intelligence tools to support parts of the hiring process. Final hiring decisions are ultimately made by humans.