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AdTech • Artificial Intelligence • Big Data • Machine Learning • Marketing Tech • Mobile • Software
Lead product marketing for Liftoff's adtech portfolio: define positioning, create sales enablement and campaigns, lead GTM launches, drive market intelligence, and translate technical features into compelling content while partnering cross-functionally across regions.
Top Skills:
Ai ToolsHubspotWordpress
Marketing Tech • Real Estate • Software • PropTech • SEO
Own product marketing as a senior individual contributor: define positioning and messaging for the AI platform, create sales enablement assets, run product launches end-to-end, build the PMM operating system, and translate customer and competitive insight into revenue-driving materials.
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Cybersecurity • Data Privacy
The role involves developing product messaging, executing go-to-market strategies, producing content, conducting market research, and enabling sales teams for industry solutions.
Top Skills:
MarketingProduct MarketingSales Enablement
Description
As our Product Marketing Manager, you will be responsible for turning our deep-tech AI safety infrastructure into compelling narratives that resonate with GenAI builders, Big Tech and enterprise C-suites.
Key Responsibilities
- Positioning & Messaging: Develop and maintain our differentiated story. You must articulate why Alice is the essential infrastructure for "Responsible AI" in a crowded market.
- Sales Enablement: Create the "journey” tools for our sales team—pitch decks, technical white papers, case studies, and competitive battlecards.
- Market Intelligence: Be the eyes and ears of the market. Conduct deep-dive analysis on competitors and emerging GenAI trends.
- Product Launch & GTM: Lead the end-to-end launch of new features and tools. Define the "Why now?", coordinate across Product and Sales, create collateral, and drive adoption.
- Customer Advocacy: Work closely with early adopters to turn their success into powerful testimonials and data-backed proof points.
The salary range for this role is $200-250K OTE and stock options - Range may vary based on experience. Salary at the time of offer will be commensurate with experience.
RequirementsWho You Are
- Technical Fluency: You don't just use ChatGPT; you understand LLM orchestration, RAG, and the nuances of AI safety/observability. You can hold your own in a room with engineers. You know how to do vibe coding and do it yourself.
- The "Builder" DNA: You thrive in the chaos of a high-growth startup. You don't need a playbook; you enjoy writing it.
- Strategic Storyteller: You have a "Product Sense"—the ability to see a feature and immediately understand the 3-5 ways it solves a massive enterprise pain point.
- Experience: 4+ years in Product Marketing, preferably in Developer Tools, Cyber Security, or AI Infrastructure.
Alice (Formerly ActiveFence) New York, New York, USA Office
New York, New York, United States
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
