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Salary
$158k – $236k per year
Location
Remote (United States)
Seniority
Senior · 5+ years exp
Visa
H-1B filings in 12 months: 16 · green card filings: 1
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 15, 2026.

Overview
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The unified AI inference stack - from custom GPU kernels to production cloud serving on NVIDIA and AMD. 2x performance. Top open models. Open source stack.

Join our team as a Technical Product Marketing Manager, where you'll shape how developers understand and adopt Mojo and MAX. You'll own release messaging, set developer-facing positioning, and create content for executive speaking engagements. You'll also partner with developer advocates, work with engineering, and stay close to the developer community. This role requires deep technical proficiency in AI/ML and accelerated computing, as well as a proven history of owning release and launch messaging for developer products.

Missions

  • Own release messaging for Mojo and MAX, working with engineering and product to highlight key features and writing and shipping release communications.
  • Set developer-facing positioning across online communities, creating content for executive speaking engagements and collaborating with developer advocates on tutorials and code samples.
  • Stay close to the developer community, using adoption and engagement data to prioritize next steps, and track the competitive landscape to maintain accurate technical positioning.

Profil recherché

- Deep technical proficiency in AI/ML and accelerated computing, including working knowledge of frameworks and tools such as PyTorch, vLLM, or SGLang, and comfort reading code. You can credibly explain GPU performance tradeoffs (memory bandwidth, batching, quantization, kernel fusion) and pressure-test benchmark claims with skeptical engineers

- Ability to independently prioritize work, navigate ambiguity and trade-offs in a fast-moving release cycle, and lead through influence across engineering, product, and developer advocacy

- A public portfolio of technical work aimed at developers, such as blog posts, tutorials, technical docs, or talks

- A proven history of owning release and launch messaging for developer products, directing cross-functional launches on a regular release cadence, and turning technical advantages into clear developer benefits

- Bachelor's degree in computer science, engineering, or a related technical field (or equivalent experience)

- Outstanding written, verbal, and presentation abilities for developer, technical, business, and executive audiences, including experience building talk tracks and slides for executive speakers

- 5+ years of experience in technical product marketing, developer relations, developer advocacy, product management, or software/ML engineering within AI/ML infrastructure, developer tools, programming languages, or open source ecosystems

- OR

- Bachelor's degree and 3+ years of Product Marketing, Marketing, Business, Engineering, Communications, or related work experience

- Associate's degree or equivalent degree and 5+ years of Product Marketing, Marketing, Business, Engineering, Communications, or related work experience

- *Completed advanced degrees in a relevant field may be substituted for up to two years (Master’s = one year, Doctorate = two years) of work experience

- High school Diploma or equivalent and 7+ years of Product Marketing, Marketing, Business, Engineering, Communications, or related work experience

- For candidates who fall outside of the listed requirements, we nevertheless encourage you to apply as we may have upcoming openings that are lower/higher level than the ones advertised

- Master's degree or Ph.D. in Computer Science, AI, or a related technical field

- Experience speaking at technical conferences

- Experience at a fast-moving startup

- Comfort reading C++, Rust, or other systems languages

- Experience marketing a programming language, compiler, or open source developer tool

- Experience with Mojo, or contributions to open source AI projects

- Familiarity with GPU programming or compilers (e.g., CUDA, Triton, MLIR)

- Prior experience in ML engineering, MLOps, or inference infrastructure

- Comfort writing code

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