Product Marketing Manager
$200k - $300kSimile AI, Inc
About the Company Simile is The Simulation Company. We simulate human behavior to keep people at the center of the decisions that shape the world. With AI, anyone can create a product, a campaign, a policy, or a script - the bottleneck has moved upstream. The hard question is no longer whether you can create something, but what to create, for whom, and how to bring it to life. Those are fundamentally human decisions, and they shouldn't be left to chance or handed off to an algorithm. We're building the infrastructure to understand human behavior at scale and to represent humans in an increasingly agentic world. Our mission is to simulate all eight billion people on earth. We launched five months ago. Since then we've grown revenue 5x, built a new foundation model for human behavior that has run tens of millions of simulations for F100 enterprises, trained a first-of-its-kind confidence model that predicts the accuracy of every simulation, and released the first product that lets organizations verifiably predict the future. The world's leading companies use Simile to make business-critical decisions - from consumer leaders like CVS Health and Wealthfront to professional services organizations like Deloitte and Gallup - strategizing product launches, entering new markets, and forecasting earnings calls. We've raised over $200M at a $2B post-money valuation led by Greenoaks, with Index Ventures, Hanabi, A*, Bain Capital Ventures, and CVS Health Ventures. We've grown from a small home in Palo Alto to a global team of 50+, and we're building a team of the best researchers, engineers, designers, and operators in the world. The future is too important to be left to chance. About the Role As a Product Marketing Manager, you will own how Simile is understood by the people who buy it. You'll work across product, research, and go-to-market to define what we build and how we bring it to market. From the first positioning doc through the launch, the sales narrative, and the iteration after real customers push back. In this role, you will:
Must Haves
- 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.
Must Haves
- 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.
- 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.
- Salary Range: $200,000 - $300,000 USD
- Note: Final offers are based on experience, specialized skills, interview performance, and relevant training.
- Equity: Grants are available for eligible roles, subject to board approval.
- Health & Wellness: Comprehensive medical, dental, and vision coverage.
- Time Off: Flexible time off policies to support work-life balance.
Vacancy posted 19 hours ago
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