--- title: 'Technical Product Marketing Manager at Modular' canonical: 'https://feeny.ai/job/technical-product-marketing-manager-modular-united-states-dtedgp0kdtsg' type: 'job' last_seen: '2026-11-05' --- # Technical Product Marketing Manager at Modular - **Company:** Modular - **Location:** United States - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-10-07 - **Last confirmed live:** 2026-11-05 - **Apply:** https://jobs.gem.com/modular/am9icG9zdDqAJ5RzH272sMWTyG0bUctq ## Job description About the role: We are looking for a Technical Product Marketing Manager to shape how developers understand and adopt Mojo and MAX. You’ll own release messaging, working with engineering and product to decide what to highlight, then writing and shipping the release blog post, social posts, and community announcements. Beyond releases, you’ll set developer-facing positioning across our online communities. In this role, you will stay close to the developer community and use adoption and engagement data to decide what to prioritize next, all with the goal of enabling builders to get real value from Mojo and MAX. Join our world-leading product team and be part of redefining how AI infrastructure is built and deployed. LOCATION: Candidates based in the US are welcome to apply. You can work in our office in Los Altos, CA or remotely from home. Onboarding for new hires is conducted in-person in our Los Altos, CA office. Additionally, this role requires travel to conferences and developer events, which may be as often as once per month, as well as travel for team and company events (typically 2-4 times per year). What you will do: - Own release messaging for Mojo and MAX. For every release, work with engineering and product to decide what to highlight, then write and ship the release blog post, social posts, and community announcements. - Own developer-facing messaging and positioning for Mojo and MAX across modular.com, docs landing pages, GitHub READMEs, the Modular blog, and launch announcements. - Create content for executive speaking engagements aimed at developer audiences, including keynotes, conference talks, podcasts, and panels. Develop the narrative, write talk tracks and slides, and prepare executives with data, benchmarks, and anticipated audience questions. - Partner with developer advocates on tutorials, code samples, and getting-started content that show developers exactly how to get value from Mojo and MAX, from pip install modular to a model running on a GPU. - Work with engineering to turn benchmark results and performance comparisons against alternatives (e.g., vLLM, TensorRT-LLM, SGLang, CUDA) into clear, honest technical content. - Write deep technical blog posts and launch content on topics like GPU programming, inference optimization, and the Mojo language. - Partner with product management, engineering, and developer advocates to stay ahead of the Mojo and MAX roadmaps and turn upcoming features into launch plans and messaging developers trust. - Stay close to the developer community on GitHub, Discord, the Modular forum, and social channels. Bring user feedback, friction points, and feature requests back to product and engineering. - Track the competitive landscape across programming languages, AI frameworks, inference engines, compilers, and hardware vendors, and maintain accurate technical positioning for Mojo and MAX. - Measure the impact of releases, launches, and developer content (adoption, downloads, docs traffic, community engagement) and use the data to decide what to prioritize next. What you bring to the table: - 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. - Bachelor's degree in computer science, engineering, or a related technical field (or equivalent experience). - 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. - 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. - A public portfolio of technical work aimed at developers, such as blog posts, tutorials, technical docs, or talks. - Outstanding written, verbal, and presentation abilities for developer, technical, business, and executive audiences, including experience building talk tracks and slides for executive speakers. - 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. Minimum Qualifications: - Bachelor's degree and 3+ years of Product Marketing, Marketing, Business, Engineering, Communications, or related work experience. OR - Associate's degree or equivalent degree and 5+ years of Product Marketing, Marketing, Business, Engineering, Communications, or related work experience. OR - High school Diploma or equivalent and 7+ 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. Helpful, but not required: - Comfort writing code. - Experience marketing a programming language, compiler, or open source developer tool. - Familiarity with GPU programming or compilers (e.g., CUDA, Triton, MLIR). - Comfort reading C++, Rust, or other systems languages. - Prior experience in ML engineering, MLOps, or inference infrastructure. - Experience with Mojo, or contributions to open source AI projects. - Experience speaking at technical conferences. - Master's degree or Ph.D. in Computer Science, AI, or a related technical field. - Experience at a fast-moving startup. What Modular brings to the table: - Amazing Team. We are a progressive and agile team with some of the industry’s best engineering and product leaders. - World-class Benefits. In order to attract the best, we need to offer the best. Your benefits package may include comprehensive healthcare coverage, retirement and savings programs, employee stock purchase opportunities, paid time off, wellbeing resources, family support programs, and learning and development opportunities. Please note that specific benefit packages may vary based on your location, you can read more about [benefits offered by Qualcomm here](https://www.qualcomm.com/company/careers/benefits). - Competitive Compensation. We offer very strong compensation packages, including RSU grants. We want people to be focused on their best work and believe in tailoring compensation plans to meet the needs of our workforce. - Team Building Events. We organize regular team onsites and local meetups in Los Altos, CA as well as different cities. Traveling 2-4 times a year is expected for all roles. Working at Modular will enable you to grow quickly as you work alongside incredibly motivated and talented people who have high standards, possess a growth mindset, and a purpose to truly change the world. The estimated base salary range for this role to be performed in the US is $123,500.00 - $236,400.00 USD. The salary for the successful applicant will depend on a variety of permissible, non-discriminatory job-related factors, which include but are not limited to education, training, work experience, business needs, or market demands. This range may be modified in the future. The total compensation for a candidate will also include annual target bonus, equity, and benefits, with equity making up a significant portion of your total compensation. 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. ## About Modular ## Company Overview - **One-liner**: Modular builds a unified, high-performance AI inference platform that enables developers to run AI workloads efficiently across any hardware. - **Entity Type**: Private (Acquired by Qualcomm in July 2026) - **Headquarters**: Los Altos, California, United States - **Founded**: 2022 - **Founders**: Chris Lattner and Tim Davis ## Core Business - **Primary industry/industries**: AI Infrastructure, Deep Learning, Software Development - **Target customers**: AI/ML engineers, data scientists, and enterprises deploying large-scale AI models (B2B, Enterprise) - **Mission statement**: "Make AI’s compute layer unified, efficient, and accessible to all." ## Products & Services - **Modular Platform (MAX)**: A unified AI inference platform offering text, audio, and image inference. It provides state-of-the-art performance with shared or dedicated endpoints, deployment in Modular's cloud or the customer's VPC, and support for custom models. It includes a high-performance, hardware-agnostic serving framework that automatically optimizes kernels across accelerators. - **Mojo**: A high-performance systems language designed for writing composable GPU kernels, enabling maximum performance across different hardware. ## Market Standing - **Valuation/Market Cap**: Not publicly available (acquired by Qualcomm). Total funding raised was $380M. - **Key Metric**: Total Funding of $380M, with an annual revenue of $1M as of the latest data. - **Notable Investors/Partners**: General Catalyst (lead, Series B), Google Ventures (lead, Seed), US Innovative Technology Fund (lead, Series C). - **Growth Signals**: Headcount grew by 39.9% year-over-year to 157 employees. The company was acquired by Qualcomm in July 2026, signaling a major strategic validation and exit. It maintains a strong technical workforce (110 out of 157 employees are in technical roles). ## Competitive Advantages - **Hardware Agnosticism**: The platform runs seamlessly across NVIDIA, AMD, Trainium, TPU, Qualcomm, Intel, ARM, and Apple silicon, providing true portability and preventing vendor lock-in. - **Full-Stack Optimization**: Optimizes from low-level GPU kernels to API endpoints, delivering significant performance gains (e.g., 2x improvement over vLLM on diverse hardware) and up to 50% cost savings. - **Founding Team**: Led by Chris Lattner (creator of LLVM, Clang, and Swift) and Tim Davis, with decades of experience building AI infrastructure at Google and other big tech companies. ## Strategic Focus - **Unifying AI Compute**: The company’s core mission is to solve the fragmentation in AI infrastructure by creating a modular and composable platform. - **Open Source & Ecosystem**: Modular is open-sourcing the Mojo language and the MAX engine to drive adoption and build a community. - **Post-Acquisition Integration**: Following the acquisition by Qualcomm, the strategic focus will likely shift towards integrating its technology into Qualcomm’s hardware ecosystem and scaling its deployment to edge and mobile devices. ## Why Work Here - **Cutting-Edge Technology**: Employees work on building deep learning infrastructure from silicon to system, offering full-stack mastery of the AI software/hardware stack. - **Strong Compensation & Benefits**: Offers leading medical, dental, and vision insurance, strong compensation and equity packages, a 401k plan with up to 5% match, generous parental leave, unlimited paid time off, and a $1,500 work-from-home stipend. - **Culture**: Described as intellectually curious, humble, and collaborative. The company values work/life balance and offers flexible work hours and hybrid work options. - **High Employee Ratings**: On LinkedIn, the company has a 4.3/5.0 employer rating, with perfect 5.0 scores for Culture and Career, and 4.6 for Work-Life and Compensation. - **Onboarding & Process**: Onboarding occurs onsite at the Los Altos office. The interview process is straightforward, generally taking about 4 weeks, and includes a culture interview. ## Sources 1. [Modular Careers Page](https://www.modular.com/company/careers) 2. [Modular About Us](https://www.modular.com/company/about) 3. [Modular Website](https://www.modular.com/) 4. [Modular LinkedIn](https://www.linkedin.com/company/modular-ai) 5. [Modular Careers on Gem](https://jobs.gem.com/modular) ## Other roles at Modular - [Technical Program Manager, Platform Engineering](https://feeny.ai/job/technical-program-manager-platform-engineering-modular-san-francisco-hpb2655n8cs8) — San Francisco, CA - [Mojo Debugger Engineer](https://feeny.ai/job/mojo-debugger-engineer-modular-remote-gccbm5r3xjq7) - [Platform Engineer, Workplace Engineering](https://feeny.ai/job/platform-engineer-workplace-engineering-modular-los-altos-cyeavzd1vcjh) — Los Altos, CA - [AI Kernel Engineering Manager](https://feeny.ai/job/ai-kernel-engineering-manager-modular-united-states-6wh2bfyym5z2) — United States - [AI Performance Engineer](https://feeny.ai/job/ai-performance-engineer-modular-europe-qzyyx748n8jb) — Europe - [Mojo Back-End Compiler Engineer](https://feeny.ai/job/mojo-back-end-compiler-engineer-modular-remote-ncf0qchaevg5) - [AI Runtime Engineer](https://feeny.ai/job/ai-runtime-engineer-modular-edinburgh-4y9j51sdexm8) — Edinburgh, United Kingdom - [Senior Technical Community Manager](https://feeny.ai/job/senior-technical-community-manager-modular-united-states-canada-srs5wh13vqqg) — United States / Canada - [Inference Systems Engineer](https://feeny.ai/job/inference-systems-engineer-modular-united-states-4gaygxb1r6bk) — United States - [Engineering Manager, Hardware Bringup](https://feeny.ai/job/engineering-manager-hardware-bringup-modular-united-states-canada-8wfmtksxz83t) — United States / Canada