Product Marketing Manager - B2B SaaS
Looking for a strong Product Marketing Manager with 4-7 years of experience to drive pre & post-launch marketing, GTM strategy, positioning, and user research for a fast-growing B2B SaaS product company.
Must have -
- Strong product & digital marketing background
- Experience in B2B SaaS / B2B startups / top consulting firms
- Data-driven, analytical, KPI-focused mindset
- Proven collaboration with product, engineering & content teams
- Ability to create high-impact content (videos, reports, use-case libraries, podcasts)
- MBA from a Tier-1 institute (mandatory)
Key Responsibilities:
- Startup Scaling and Strategic Planning-
- Develop and execute strategies to accelerate user acquisition, market penetration, and overall business growth.
- Conduct thorough competition benchmarking to identify market opportunities, threats, and best practices.
- Analyze data and market trends to inform strategic decisions and adjust scaling initiatives effectively.
- Collaborate with the leadership team to define key performance indicators (KPIs) and measure the success of strategic initiatives.
Master Agent and App Catalogue (MAAC) Development-
- Drive the strategy, development, and launch of the MAAC, our platform for master agents and integrated applications.
- Define the functionality, user experience, and value proposition of the catalogue, ensuring it meets the needs of developers and end-users.
- Bridge the gap between business objectives and technical teams (product, engineering) to ensure seamless execution and alignment of the MAAC with the core AI OS.
- Gather user feedback and iterate on the MAAC offering to optimize its effectiveness and adoption.
Smart Content Creation and Knowledge Sharing-
- Lead the creation of high-impact, intelligent content to drive engagement, educate the market, and build brand authority.
Produce various content formats, including-
- Videos and Podcasts detailing use cases, industry insights, and company updates.
- A comprehensive Use Case Library showcasing practical applications of the AI OS.
- Competition Benchmarking reports and analyses.
- Utilize data and AI tools to inform content strategy and optimize content performance.
- Manage and curate a knowledge repository for internal and external stakeholders.
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