Senior Market Intelligence Specialist -Sunnyvale
Alibaba Cloud, Sunnyvale, CA, United States
1. Frontline Insight from AI & VC Ecosystem
Be our eyes on the ground in AI innovation scene. Actively engaging with founders, VCs, accelerators, open-source communities, and AI demo days to surface early signals around new technologies, funding trends, and enterprise gaps before they go mainstream.
2. From Insight to Pipeline: Drive Actionable Output
Turn what you hear and see: whether at pitch events, investor reports, or founder Slack threads—into practical, sales-ready tools: target account lists, competitive battlecards, and GTM strategies that help our teams win.
3. Monitor AI Market Dynamics Beyond Public Data
Go beyond press releases and LinkedIn posts: track talent flows, model adoption and infrastructure trends to identify startups and technologies that are gaining real traction with enterprise buyers.
4. Collaborate Cross-Functionally for Impact
Partner closely with Solutions Architects, Sales Leadership, and Product Teams to make sure our frontline intelligence directly informs customer conversations, strategic account planning, and competitive positioning.
5. Represent the Voice of the Market Internally
Translate what’s happening in the AI/VC ecosystem into clear, actionable insights that influence product strategy, investment decisions, and regional go-to-market priorities.
Requirements
● Deeply connected to the U.S. AI and VC ecosystem: know the players, the startups, the funding trends, and the emerging tech, participated in VC office hours, attended AI demo days, or been part of a startup community like YC, Techstars, or AngelList.
● Proven ability to turn “noise” into signal: don’t just collect data and need to identify opportunity across funding rounds, technical blogs, GitHub activity, and customer pain points to predict adoption curves.
● Hands-on experience in AI/ML, cloud infrastructure, or enterprise requirement, ideally from:
○ A venture capital firm (as an analyst, or platform operator),
○ An AI startup (in GTM, product, or strategic growth),
○ A cloud provider or enterprise tech company (with a focus on ecosystem intelligence or competitive strategy).
● 2–3 years of relevant experience, ideally someone who’s already embedded in the ecosystem and can start delivering day one.
● Excellent written and verbal communication in English.
#J-18808-Ljbffr
Be our eyes on the ground in AI innovation scene. Actively engaging with founders, VCs, accelerators, open-source communities, and AI demo days to surface early signals around new technologies, funding trends, and enterprise gaps before they go mainstream.
2. From Insight to Pipeline: Drive Actionable Output
Turn what you hear and see: whether at pitch events, investor reports, or founder Slack threads—into practical, sales-ready tools: target account lists, competitive battlecards, and GTM strategies that help our teams win.
3. Monitor AI Market Dynamics Beyond Public Data
Go beyond press releases and LinkedIn posts: track talent flows, model adoption and infrastructure trends to identify startups and technologies that are gaining real traction with enterprise buyers.
4. Collaborate Cross-Functionally for Impact
Partner closely with Solutions Architects, Sales Leadership, and Product Teams to make sure our frontline intelligence directly informs customer conversations, strategic account planning, and competitive positioning.
5. Represent the Voice of the Market Internally
Translate what’s happening in the AI/VC ecosystem into clear, actionable insights that influence product strategy, investment decisions, and regional go-to-market priorities.
Requirements
● Deeply connected to the U.S. AI and VC ecosystem: know the players, the startups, the funding trends, and the emerging tech, participated in VC office hours, attended AI demo days, or been part of a startup community like YC, Techstars, or AngelList.
● Proven ability to turn “noise” into signal: don’t just collect data and need to identify opportunity across funding rounds, technical blogs, GitHub activity, and customer pain points to predict adoption curves.
● Hands-on experience in AI/ML, cloud infrastructure, or enterprise requirement, ideally from:
○ A venture capital firm (as an analyst, or platform operator),
○ An AI startup (in GTM, product, or strategic growth),
○ A cloud provider or enterprise tech company (with a focus on ecosystem intelligence or competitive strategy).
● 2–3 years of relevant experience, ideally someone who’s already embedded in the ecosystem and can start delivering day one.
● Excellent written and verbal communication in English.
#J-18808-Ljbffr