About The Position

The Senior Product Marketing Manager, FinOps for AI Go-to-Market, owns the end-to-end go-to-market strategy for FinOps for AI. The role brings together customer proof, influencers, community, events, social, web, and in-product experiences to help customers forecast, govern, and optimize AI spending. It uses customer signals to guide investment and builds evidence through customer outcomes, practitioner guidance, third-party validation, and product adoption results. The manager develops the partner strategy and equips Microsoft field and partner teams with readiness, discovery guidance, customer stories, demonstrations, and other sales materials. The role coordinates across Microsoft's cross-company FinOps for AI program and works with product, pricing and offers, cost management, web, and sales leadership to maintain one consistent customer story and measurement approach. The position owns a measurement plan spanning reach, engagement, and impact, including consumption growth and influenced product adoption. The hire is expected to build FinOps expertise quickly; prior FinOps expertise is not required.

Requirements

  • Master's degree in Marketing, Communications, Business, or a related field and at least 3 years of experience in product marketing, integrated marketing, go-to-market, or a related discipline; or bachelor's degree in one of those fields and at least 5 years of relevant experience; or equivalent experience.
  • Experience taking an end-to-end go-to-market or integrated campaign to market and demonstrating results in engagement, pipeline, or product usage.
  • Experience building or owning customer-facing content programs, such as a web destination, guidance, customer proof, or enablement content.
  • Experience landing a go-to-market with sales, customer success, or partner organizations, such as through field readiness, partner programs, or channel marketing.
  • Track record of influencing across organizational boundaries where ownership was unclear or contested.
  • Experience writing customer-facing content.
  • Ability to provide a portfolio of relevant work, such as technical content or hosted video work, for review; candidates may be asked to share links or samples.

Nice To Haves

  • Master's degree in Marketing, Communications, Business, or a related field and at least 6 years of relevant experience; or bachelor's degree in one of those fields and at least 8 years of relevant experience; or equivalent experience.
  • Familiarity with cloud cost management, FinOps practices, or cloud pricing and consumption models.
  • Experience running signal-driven or evidence-led marketing, such as customer advocacy, influencer, or community programs.
  • Experience building a narrative for a defined audience or industry and landing it through events, sales, and partners.
  • Field or sales enablement experience for a technical seller audience.
  • Experience building partner or field enablement content (a bill of materials) for a technical seller audience.
  • Experience making content discoverable by search and AI assistants.
  • Experience directing vendors or agencies against scope, budget, and calendar.
  • Experience marketing at a large, matrixed technology company.

Responsibilities

  • Own the end-to-end FinOps for AI go-to-market and the Plan, Manage, Optimize customer journey across channels.
  • Run marketing across customer proof and advocacy, influencer and community voices, events, social, the FinOps for AI destination on microsoft.com, and in-product moments.
  • Use customer signals to determine where to invest budget and effort, and develop evidence through customer outcomes, practitioner guidance, third-party validation, and product adoption results.
  • Develop messaging and go-to-market strategies around AI tokenomics, connecting AI consumption, cost optimization, and business value through a FinOps lens.
  • Develop the partner strategy, including relevant partner types and motions, partner needs, and ways to measure partner activity.
  • Land FinOps for AI with field-facing teams through readiness, discovery conversations, and feedback loops with sales leadership across Microsoft's cloud and AI solution areas.
  • Build and maintain core field and partner materials, including a walking deck, discovery story, customer story with demos, one-pagers, objection handling, and enablement content.
  • Publish seller and partner materials where they can find them, and make content suitable for retrieval and quotation by an agent.
  • Represent go-to-market in Microsoft's cross-company FinOps for AI program and with sales leadership; coordinate a consistent story with product, pricing and offers, cost management, and web teams.
  • Manage requests to product teams about existing and committed content and delivery dates, and run weekly gap reviews with named owners and dates.
  • Own the measurement plan across reach, engagement, and impact, including consumption growth and product adoption influenced.
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