About the Role
At DSW, we are building the Enterprise AI Operating System that enables organizations to operate AI as governed, scalable infrastructure.
We are looking for a Product Marketing Manager who can translate deep technology into clear market narratives, define category positioning, and drive go-to-market strategy as we expand globally, with a strong focus on the US market.
This is not a traditional PMM role.
This role sits at the center of product, market, and category creation.
What You Will Own
1. Positioning & Category NarrativeDefine and evolve the positioning of DSW UnifyAI OSBuild messaging frameworks across personas (CIO, CTO, CRO, CDO)Articulate why an Enterprise AI Operating System is fundamentally different from AI tools or platformsEnsure consistency of narrative across all channels
2. Analyst & Market EngagementSupport engagement with firms like Gartner and ForresterPrepare analyst briefings, narratives, and follow-upsMap product capabilities to analyst frameworks and categoriesTrack analyst feedback and incorporate into positioning
3. Go-To-Market StrategyDefine GTM plans for key markets, especially the USPartner with sales to build persona-led outreach narrativesShape campaign strategy with clear messaging directionDrive launch strategies for new capabilities and use cases
4. Campaign Narrative & Messaging (Email, Ads, Outreach)Define the narrative and messaging for:Email campaigns and outreach sequencesLinkedIn and digital ad campaignsAccount-based marketing effortsDevelop persona-specific messaging flows and hooksEnsure campaigns reflect category positioning, not generic product marketingWork closely with growth and demand teams to guide execution and optimization
5. Content & Thought LeadershipDevelop high-impact assets:WhitepapersPOVs and industry narrativesCase studiesSales enablement contentElevate all content to US enterprise standards
6. Competitive & Market IntelligenceBuild and maintain competitive positioningCreate battlecards and differentiation frameworksIdentify whitespace and category opportunitiesTrack trends in AI, GenAI, and enterprise adoption
7. Sales & Internal EnablementEquip sales with clear, differentiated messagingCreate pitch narratives, talk tracks, and outreach frameworksEnsure internal alignment on positioning and story
What You Should Bring5-7 years of experience in Product MarketingProven experience in
B2B SaaS or enterprise technology environmentsHands-on experience in:Positioning and messagingGo-to-market launchesWorking with or selling into enterprise buyersStrong ability to translate complex technical concepts into clear business valueExperience shaping messaging for campaigns, outreach, or contentStrong cross-functional collaboration across product, sales, and marketingExcellent writing and communication skills
Good to HaveExperience in
early-stage or scaling startup environmentsExposure to
analyst relations or enterprise research firmsExperience in
AI, data, or deep tech domainsFamiliarity with regulated industries such as BFSI
What Makes You a Strong FitYou think in categories, not features You can build narratives that scale across campaigns and channelsYou understand how messaging connects to pipeline and revenueYou are comfortable working with senior stakeholdersYou bring both strategic thinking and execution depth
About DSW -
Data Science Wizards (DSW) is building UnifyAI OS - the Enterprise AI Operating System (AI OS) for regulated and hybrid enterprises.
As AI moves from experimentation into execution-especially with the rise of agentic systems- enterprises face a fundamental question: How do we build, deploy, operate, and govern AI continuously, safely, and at scale as part of the enterprise itself?
DSW Enterprise AI OS enables enterprises to:
• Build, integrate, deploy, orchestrate, govern, monitor, and continuously operate AI/ML and agentic workloads
• Treat AI use cases, AI workloads, and AI applications as long-running production systems
• Enforce governance-as-code at runtime, not through static policy documents
• Retain full ownership of all AI artifacts and source code
• Run AI entirely inside customer-controlled environments (on-premises, local, private cloud, hybrid)
• Integrate a broad AI ecosystem without vendor lock-in
DSW is defining a new AI category: Enterprise AI Operating Systems.
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