Sr Product Marketing Manager, Platform

Chainalysis

1d•$152,000 - $230,000

About The Position

The Senior Product Marketing Manager for Platform owns positioning for the Chainalysis platform as a whole and develops lifecycle campaigns and programs that drive customer adoption, usage, and expansion. This is a horizontal role spanning all customer segments, focused on understanding customer goals and obstacles and connecting the company’s products, AI agents, workflows, APIs, data, and expert services into a unified value story. The role collaborates closely with Product, Sales, Customer Outcomes, Marketing & Communications, GTM Solutions & Readiness, and segment leads. It defines platform messaging and competitive positioning, creates lifecycle and expansion programs, supports portfolio-wide launches, and develops strategic content and field tools. The position also uses churn, win-loss, customer and field feedback, and competitive signals to refine positioning and measures outcomes tied to business health. The successful candidate is an experienced B2B enterprise technology marketer with a track record of creating new propositions or business lines without an established playbook. They bring strong positioning, lifecycle-program design, writing, and cross-functional leadership skills. Chainalysis expects employees to build AI fluency, take ownership of AI-assisted work quality, experiment with provided tools and workflows, and collaborate to improve how work gets done.

Requirements

At least 8 years of experience in product, solutions, industry, or B2B enterprise technology marketing.
Experience creating something from the ground up, such as a new proposition, segment, or business line without an existing playbook.
Ability to develop positioning that changes how customers and sellers understand a problem and connects multiple capabilities into one value story.
Experience designing lifecycle campaigns or expansion programs and owning their messaging and mechanics.
Exceptional writing and editorial judgment, including the ability to create concise headlines, persuasive narratives, practical sales content, and executive-level messaging.
Ability to distinguish precise communication from jargon.
Collaborative, self-starting approach and comfort driving ambiguous, multi-stakeholder work across Product, Sales, technical and revenue teams, and senior leaders.
Curiosity and willingness to develop AI fluency, experiment, and take responsibility for the quality of AI-supported work.

Nice To Haves

Experience with blockchain, digital assets, or crypto-native financial infrastructure.
Experience marketing AI-powered products, data platforms, intelligence products, cybersecurity, or risk and compliance technology.
Familiarity with consumption- or usage-based pricing and packaging.

Responsibilities

Define and evolve the Chainalysis platform story, communicating what its intelligence enables, how it is differentiated, and the value of the platform as a whole.
Build messaging that enables go-to-market teams to communicate the platform story consistently.
Own competitive positioning by framing the category and translating market developments into actionable guidance for deal teams.
Develop lifecycle campaigns for onboarding, activation, expansion, and renewal in partnership with demand generation, product, and sales strategy.
Identify expansion patterns across customer segments and turn them into cross-sell and upsell plays, including triggers, messaging, proof points, and seller assets.
Explain the commercial model in terms customers can understand, connecting their usage with the value they receive.
Lead go-to-market planning for launches spanning the portfolio, working with segment leads on value propositions for each audience.
Produce strategic sales content, including first-call decks, value maps, discovery frameworks, ROI stories, objection handling, and sales plays.
Partner with Product, Product Marketing, GTM, and Enablement teams to turn strong narratives into accessible, practical field tools.
Use churn, win-loss, field feedback, and competitive signals to improve positioning, and measure indicators of business health rather than activity alone.
Develop AI capabilities, experiment with available tools and workflows, take ownership of output quality, and collaborate across teams to improve how work gets done.