Responsibilities

• Positioning & Messaging: Developing clear, differentiated positioning for Simile and its capabilities. Turning simulation, calibration, and predictive validity into narratives an executive can repeat after hearing them once.
• Product Launches: Owning go-to-market for new capabilities and major releases: the launch narrative, blog posts, landing pages, demos, and briefings. Partnering with product and research to pressure-test fit before launch, not after.
• Proof & Credibility Content: Building the evidence base a skeptical buyer needs: validation studies, backtests, methodology explainers, and case studies that show what a simulation predicted and what actually happened. Real results and honest limitations, not marketing fluff.
• Go-To-Market Enablement: Translating capabilities into narratives, decks, and objection handling that sales and field teams can actually use. Partnering closely with sales and simulation engineers to understand where deals stall and what buyers don't believe yet.
• Demand & Distribution: Identifying and testing the channels that reach our buyers: research and strategy communities, industry press, conferences, executive networks, owned research. Running experiments to improve conversion across the funnel.
• Customer & Market Insight: Talking to buyers and users regularly to understand their needs, objections, and mental models. Tracking the AI and behavioral research landscape, and bringing what you learn back into product and marketing decisions.

Requirements

• Relevant Experience: product marketing, product management, growth, or a similar role. Ideally marketing a technical or research-driven product to enterprise buyers.
• Technical Intuition: You don't need to be an engineer, but you should be comfortable getting deep on how the product actually works, and able to represent it accurately to a technical evaluator.
• Quantitative Literacy: Comfort with the vocabulary of research and measurement: sampling, validity, benchmarks. Enough to make claims that hold up when a customer's data science team questions them.
• Product Instincts: The ability to engage substantively in product discussions and push back thoughtfully.
• Exceptional Communication: You can simplify complex concepts without dumbing them down, and write copy that a C-suite audience takes seriously.
• High Ownership: You can take a project from idea execution iteration without waiting to be handed a brief.
• Comfort with Ambiguity: You find energy, not friction, in a fast-moving environment where the category itself is still being defined.

Preferred

• Category Definition: Experience scaling a product whose category, budget line, or buyer vocabulary was still taking shape.
• Research Domain Fluency: Familiarity with market research, insights, survey methodology, consulting, or the behavioral research landscape.
• Enterprise GTM: Experience supporting a high-ACV, multi-stakeholder sales motion.
• Entrepreneurial Experience: Experience as an early-stage startup employee or first marketing hire.