MathWorks
Senior Product Marketing Engineer
Edtech.com's Summary
MathWorks is hiring a Senior Product Marketing Engineer to lead technical content strategy and creation for the Agentic AI campaign. The role involves developing clear, reusable technical content and messaging that enhances discoverability and drives usage of MATLAB and Simulink capabilities, working closely with product managers and marketing teams.
Highlights
- Lead Agentic AI messaging and content strategy, ensuring consistency across marketing materials.
- Create high-quality technical content including blogs, ebooks, and web pages tailored for engineering audiences.
- Partner with SEO and digital channel teams to improve content discoverability and engagement.
- Collaborate with PMMs and product managers to translate technical capabilities into clear customer-facing content.
- Use search, engagement, and campaign metrics to guide content priorities and strategy adjustments.
- Support promotional strategies with demos, skill files, and product-specific content to amplify Agentic AI capabilities.
- Required qualifications: Bachelor's degree plus 6 years professional experience or equivalent advanced education and experience.
- Strong skills in technical content creation, content planning, SEO, and understanding of technical computing workflows.
- Experience working cross-functionally with product management, marketing, and subject matter experts.
- Familiarity with generative and agentic AI technologies impacting engineering workflows.
Senior Product Marketing Engineer Full Description
Senior Product Marketing Engineer
- Team: Product Marketing
- Location: US-MA-Natick
- Salary Range: USD 122,400 - 189,700
Job Summary
Description
Agentic AI is rapidly changing how engineers build, explore, and automate technical workflows with MATLAB and Simulink. How these capabilities are explained, discovered, and adopted needs to evolve just as quickly.
In this role, you will lead Technical Content Strategy and Creation for the Agentic AI campaign, ensuring content is clear, structured, reusable, and easy to find across core outbound marketing surfaces. This includes web content, SEO strategy, blogs, campaign materials, and content that supports real customer workflows and drives usage.
You will work closely with PMMs, product managers, SEO and digital channel owners to transform technical capabilities into content that engineers can understand and apply. This is a content-focused role, with an emphasis on improving content quality, discoverability, and consistency across the Agentic AI campaign.
Responsibilities
Agentic AI Content Strategy & Messaging
- Own and evolve the Agentic AI messaging and content strategy.
- Maintain a clear, consistent messaging framework that enables product owners, PMMs, and content creators to tell a cohesive story.
- Translate emerging capabilities, customer needs, and market insights into messaging, themes, and content priorities.
- Continuously refine messaging and positioning as Agentic AI technologies, examples, and use cases mature.
Content Creation & Source Materials
• Create and maintain high-quality technical content, including blogs, ebooks, web content, and campaign materials
• Develop reusable source content that PMMs and adjacent teams can adapt for their product areas
• Turn technical assets (skill files, examples, demos) into clear, customer-facing content
• Ensure content is structured for clarity, reuse, and extension across teams
• Develop reusable source content that PMMs and adjacent teams can adapt for their product areas
• Turn technical assets (skill files, examples, demos) into clear, customer-facing content
• Ensure content is structured for clarity, reuse, and extension across teams
SEO, Discoverability & Engagement
- Partner with SEO and channel teams to improve discoverability across MATLAB web and digital channels
- Develop content strategies that support modern content discovery, including SEO tactics, and content built for LLM consumption
- Identify content gaps and opportunities that increase visibility, engagement, and adoption
- Use search, engagement, and campaign performance metrics to make informed decisions about content priorities, investments, and future content strategy
PMM Enablement & Agentic AI Amplification
- Partner with PMMs to develop promotional strategies for Agentic AI capabilities, including demos, examples, skill files, and product-specific content.
- Share campaign best practices, messaging guidance, and content recommendations that improve visibility, engagement, and adoption.
- Identify opportunities to elevate product stories, customer examples, and technical innovations through Agentic AI campaign channels and content.
- Connect product-level initiatives to the broader Agentic AI narrative, helping create a more cohesive customer experience across product areas.
Minimum Qualifications
- A bachelor's degree and 6 years of professional work experience (or a master's degree and 3 years of professional work experience, or a PhD degree, or equivalent experience) is required.
Additional Qualifications
- Strong understanding of technical computing workflows and the challenges faced by engineers and technical teams.
- Proven ability to translate complex technical concepts into clear, compelling, and usable content.
- Hands-on experience creating technical content, including web content, blogs, ebooks, examples, and campaign materials.
- Strong content planning and prioritization skills, with the ability to balance multiple content initiatives and deadlines.
- Familiarity with modern content discoverability practices, including SEO and content optimized for AI-driven search and knowledge retrieval experiences.
- Experience working across product management, product marketing, digital marketing, and technical subject matter experts.
- Strong editorial judgment with a focus on clarity, technical accuracy, consistency, and customer value.
- Ability to identify compelling technical stories, examples, and proof points that resonate with engineering audiences.
- Experience using performance and engagement data to prioritize content investments and improve content effectiveness.
- Familiarity with generative and agentic AI technologies and their impact on engineering workflows.
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