Product Marketing Manager

SimileSan Francisco, CA
Remote

About The Position

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.

Requirements

  • Product marketing, product management, growth, or a similar role. Ideally marketing a technical or research-driven product to enterprise buyers.
  • 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.
  • 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.
  • The ability to engage substantively in product discussions and push back thoughtfully.
  • You can simplify complex concepts without dumbing them down, and write copy that a C-suite audience takes seriously.
  • You can take a project from idea → execution → iteration without waiting to be handed a brief.
  • You find energy, not friction, in a fast-moving environment where the category itself is still being defined.

Nice To Haves

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

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Benefits

  • Competitive compensation packages that include base salary, equity, and comprehensive benefits.
  • Grants are available for eligible roles, subject to board approval.
  • Comprehensive medical, dental, and vision coverage.
  • Flexible time off policies to support work-life balance.
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