Senior Marketing Engineer

Arctic Wolf is establishing a new role within Marketing to harness AI as a force multiplier across the team. The Senior Marketing Engineer is an individual contributor who designs, builds, and operates AI‑driven systems, agents, and automated workflows that allow Marketing to move at the pace of the cybersecurity market.

• Build systems that scale content creation, multiplying approved messaging into the variants, channels, and formats the go‑to‑market teams need without diluting brand voice.
• Create structured AI inputs such as prompt libraries, persona documents, messaging frameworks, and source‑of‑truth files that enable consistent, high‑quality generative output across the marketing organization.
• Maintain a versioned prompt and evaluation library so generative output stays on‑brand, on‑message, and measurably high quality over time.
• Design evaluation frameworks to score AI‑generated content against Arctic Wolf’s voice, accuracy, and messaging standards.
• Refine and modernize Arctic Wolf’s competitive intelligence motion through AI‑powered monitoring, analysis, and content generation that supports faster, sharper response to the competitive landscape.
• Build automated systems that surface relevant competitor activity, market signals, and analyst coverage to the right stakeholders at the right time.
• Codify successful workflows into templates, playbooks, and reusable systems the broader marketing and revenue teams can run independently, reducing dependence on the Marketing Engineer for routine execution and enabling the whole team to move faster.
• Identify, prototype, and scale new AI‑driven workflows in partnership with key teams within marketing and the broader go‑to‑market organization.
• Run experiments as a discipline, treating every system as a hypothesis; define success metrics upfront, measure adoption and impact, iterate, and retire what does not work.
• Stay current on the rapidly evolving AI tooling landscape and bring proven new capabilities into Arctic Wolf’s marketing function.
• Evaluate emerging tools, including frontier model APIs, agents, and workflow automation platforms.

• Strong prompt engineering and evaluation design discipline, including versioning, testing, and measuring the quality of generative output.
• Understanding of B2B SaaS go‑to‑market motion, ideally in cybersecurity or another technical category.
• Excellent writing skills paired with editorial standards to ensure generative output meets Arctic Wolf’s voice, accuracy, and quality bar before it is published.
• Familiarity with the workflows and deliverables of Product Marketing, Technical Marketing, Competitive Intelligence, Analyst Relations, Communications, and other go‑to‑market departments.
• Comfort with ambiguity and a strong bias for shipping, with a builder’s mindset applied to marketing problems.

• Bachelor’s degree in marketing, communications, business, computer science, or a related field, or equivalent work experience.
• 5+ years in product marketing, sales engineering, marketing operations, content, competitive intelligence, or a related marketing role.
• 1+ years building and operating AI‑driven workflows in a marketing or go‑to‑market context, with demonstrable examples.
• Hands‑on experience with LLM‑based tools such as Claude, ChatGPT, or similar in a professional marketing context, with demonstrable examples beyond casual use.
• Strong project management and organizational skills, with the ability to manage multiple work streams and stakeholders simultaneously.

• A demonstrated portfolio of AI systems, agents, or automated workflows shipped in a marketing or go‑to‑market context, with examples, links, or case studies that show what was built, how it worked, and what it produced.
• Experience in cybersecurity, SaaS, or another complex technical B2B industry where messaging precision and competitive dynamics are high stakes.
• Familiarity with competitive intelligence workflows, analyst relations programs, or technical product marketing operations.
• Experience building and maintaining prompt libraries, evaluation rubrics, or AI quality assurance processes at a team or…