Head of Product Marketing
Jobleads-US
Shopsense AI is the creator of Shoppable Intelligence, a new AI category powering the next generation of commerce. Our proprietary Shoppable Intelligence Model (SIM) understands products, content, and shopping intent in real time, enabling media companies, retailers, technology platforms, creators, and brands to build smarter commerce experiences, improve product discovery, and unlock new revenue opportunities.
Delivered through turnkey applications or embedded directly into customer products and workflows, Shopsense provides the intelligence that connects inspiration to commerce.
About the Role
We are looking for a highly technical and commercially-minded Head of Product Marketing to help bring the Shoppable Intelligence Model (SIM) to market as an enterprise AI platform.
Reporting to the Chief Product Officer, this person will work closely with our CTO, Commercial Lead, Engineering and Science teams, and CEO to define how customers, developers, partners, and the broader market understand and adopt SIM.
This is not a traditional product marketing role. You will sit at the intersection of AI research, product, developer platforms, commerce, advertising, and go-to-market , translating sophisticated multimodal AI capabilities into products and narratives that enterprise customers and developers can understand, integrate, and buy.
A major part of the role will be to help Shopsense evolve SIM from the intelligence powering Shopsense applications into an accessible API and platform layer for commerce , including supporting our strategy to expand distribution through leading cloud and AI platforms.
What You Will Do
Define the Shoppable Intelligence category. Own SIM's positioning, messaging, competitive differentiation, and value proposition. Establish a clear answer to why commerce requires purpose-built intelligence rather than relying exclusively on general-purpose AI models.
Turn AI science into customer value. Work directly with our Principal Scientist, CTO, and Science organization to understand SIM's architecture, training, retrieval performance, evaluations, and roadmap, then translate those capabilities into compelling business and developer narratives.
Build the platform story. Develop positioning for SIM as an embeddable intelligence layer delivered through APIs and enterprise integrations. Help define how we present individual model capabilities, APIs, developer workflows, documentation, demos, and use cases as the platform expands.
Lead technical go-to-market. Develop end-to-end GTM strategies for new SIM models, APIs, capabilities, verticals, and distribution channels. Partner with Product to define target users, use cases, packaging, launch strategy, adoption metrics, and competitive positioning.
Build our developer and ecosystem strategy. Help make SIM understandable and compelling to developers, product teams, cloud partners, AI platforms, and enterprise technology organizations. Develop technical content, solution architectures, demos, documentation narratives, tutorials, and use cases that accelerate experimentation and adoption.
Own the proof. Partner with Science and Product to establish rigorous, defensible benchmarks demonstrating SIM performance. Translate improvements in retrieval accuracy into measurable outcomes such as relevance, engagement, conversion, and monetization. Ensure every external performance claim is reproducible and technically supportable.
Enable enterprise selling. Build sales and partner materials that allow Shopsense teams to communicate SIM to everyone from ML engineers and product leaders to CMOs, CROs and CEOs. Develop executive presentations, technical briefs, competitive battlecards, customer stories, solution narratives, and partner materials.
Develop the ecosystem narrative. Position SIM within the rapidly changing landscape of multimodal AI, commerce agents, retail media, product discovery, CTV, creators, search, advertising, and AI-native shopping experiences.
Create market authority. Work with executives and Communications on thought leadership, product launches, technical blogs, benchmark reports, demonstrations, conferences, analyst conversations, and customer stories that establish Shopsense as the leader in Shoppable Intelligence.
What We Need to See
- 7+ years in B2B product marketing, technical product marketing, AI product strategy, developer marketing, or related roles.
- Experience taking a technically sophisticated AI/ML, data, API, cloud, or enterprise platform to market.
- Enough technical fluency to work directly with ML scientists and engineers to develop narratives about multimodal models, embeddings, retrieval, inference, APIs, evaluation and model performance.
- Exceptional ability to turn complicated technology into simple, differentiated positioning without sacrificing technical accuracy.
- Demonstrated ownership of positioning, messaging, launches and GTM strategy for enterprise technology.
- Experience developing materials for both developers/technical buyers and executive/business buyers .
- Strong analytical capabilities and comfort working with benchmarks, model evaluations, product telemetry, customer performance data and commercial metrics.
- Experience supporting enterprise sales, strategic partnerships and ecosystem relationships.
- Ability to operate with considerable autonomy in a fast-moving startup where the category itself is still being defined.
Ways to Stand Out
- Product marketing experience with foundation models, multimodal AI, computer vision, embeddings, retrieval systems, recommendation systems, AI agents, or inference platforms.
- Experience taking an AI model or API from internally consumed technology to an externally available developer/enterprise product.
- Experience with AWS, Amazon Bedrock, Azure AI, Google Cloud/Vertex AI, or similar model distribution ecosystems .
- Experience marketing developer APIs, SDKs, model endpoints, or AI infrastructure.
- Commerce, retail media, adtech, search, CTV, or marketplace experience.
- Understanding of product catalogs, SKUs, GTINs, taxonomy, inventory, pricing, retailer feeds and product-level signals.
- Experience creating technically rigorous benchmarks and competitive narratives.
- A track record of helping create or define a new technology category rather than simply marketing within an established one.
What Success Looks Like
During the first 12 months, this person should help Shopsense:
- Establish Shoppable Intelligence as a clearly understood and differentiated AI category.
- Create the definitive positioning and messaging architecture for SIM.
- Turn SIM into a compelling enterprise and developer platform story.
- Build a rigorous benchmark and proof framework connecting model performance to commerce outcomes.
- Launch new SIM capabilities and APIs with repeatable GTM processes.
- Create developer-facing narratives, demos and technical content that accelerate adoption.
- Support strategic cloud and AI ecosystem distribution initiatives.
- Give Sales and Business Development a significantly stronger technical selling system.
- Establish Shopsense as an important voice in commerce AI and agentic commerce.
______
Bring Shoppable Intelligence to your business.
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