Democratizing AI on the Modern Data Stack

The team behind PyG (PyG.org) is working on a turn-key solution for AI over large scale data warehouses. We believe the future of ML is a seamless integration between modern cloud data warehouses and AI algorithms. Our ML infrastructure massively simplifies the training and deployment of ML models on complex data. 

With over 40,000 monthly downloads and nearly 13,000 Github stars, PyG is the ultimate platform for training and development of Graph Neural Network (GNN) architectures. GNNs -- one of the hottest areas of machine learning now -- are a class of deep learning models that generalize Transformer and CNN architectures and enable us to apply the power of deep learning to complex data. GNNs are unique in a sense that they can be applied to data of different shapes and modalities.

Kumo.AI

Product Marketing

Connect product, marketing, sales, and customers for Kumo's AI platform.

• Come and change the world of AI with the Kumo team!
• Companies spend millions of dollars to store terabytes of data in data lakehouses, but only leverage a fraction of it for predictive tasks.
• At Kumo, we are building a machine learning platform for data lakehouses.
• This role is the connective tissue between the product management team, the marketing team, the sales team, and the customer.
• Partner Enablement: Collaborate closely with sales, product marketing leadership, and partners to identify and align on priority enablement bill of materials roadmap.
• Launch & Product Campaigns: Own product launches and product campaigns by collaborating with the product management team and marketing stakeholders.
• Website: Own expansion of product focused pages and solution focused pages.
• GTM Content: Develop GTM content and product content roadmap to support Kumo’s marketing and sales efforts.
• Customer Advocacy: Develop and customer advocacy materials.
• Executive voice: Develop social media strategy and posts for executives.

Technical Product Marketing Manager (Core)

Product Designer

Designs technical web applications for AI machine learning platform in the SaaS industry.

• Collaborate closely with the product manager, engineers, and developers (including offshore teams) to translate requirements and user needs into design concepts and solutions.
• Provide guidance and support to developers to ensure design integrity and usability standards are maintained throughout implementation.
• Conduct user research, usability testing, and gather feedback to iterate on designs and improve user satisfaction.
• Create and maintain design systems, UI kits, and style guides to ensure consistency across all products and platforms.
• Stay updated on industry trends and best practices in UX/UI design, and propose innovative ideas to enhance our product offerings.

Support marketing efforts as a technical expert on Kumo's AI machine learning platform.

• Come and change the world of AI with the Kumo team!
• Companies spend millions of dollars to store terabytes of data in data lakehouses, but only leverage a fraction of it for predictive tasks.
• Traditional machine learning is slow and time consuming, taking months to perform feature engineering, build training pipelines, and achieve acceptable performance.
• At Kumo, we are building a machine learning platform for data lakehouses, enabling data scientists to train powerful Graph Neural Net models directly on their relational data, with only a few lines of declarative syntax known as Predictive Query Language.
• The Kumo platform enables users to build models a dozen times faster, and achieve better model accuracy than traditional approaches.
• In this role, you will be the technical product expert on the marketing team.
• You will fully understand the pain-points, challenges, metrics, and daily life of the data science and machine learning engineer in order to create resonating content and stories.
• As a technical product expert, you will build demonstrations, represent the company on webinars, partner videos, other technical storytelling opportunities, and ensure the sales team is equipped with technical enablement.
• Product Launches and campaigns: Own technical bill of materials for product launches and product campaigns.
• Work with product management team and technical stakeholders to identify, align, and execute on technical bill of materials that support market impacting announcements.
• Develop demos, enablement content, and market facing assets to support announcements and launches.
• Partner Enablement: Collaborate closely with sales, product marketing leadership, and partners to identify and align on priority technical bill of materials roadmap.
• Deliver against technical bill of materials roadmap to meet business priorities - with a focus on co-selling.
• Identify needs, pain points, and goals, and source, build, and approve engaging, impactful, and scalable enablement content, including training collateral, demos, and other technical assets from the roadmap.
• Ensure consistent quality for sales-facing messaging, positioning, and technical value propositions across all enablement materials.
• Website: Develop impactful technical content that wows website visitors.
• Bring product storytelling to life through technical assets across the website and social channels.
• Partner with the marketing team to expand product focused pages and solution focused pages to tap into and amplify benefits for the technical and business audiences.
• Support marketing team with technical reviews of content and stories, taking on the user persona.
• Work closely with the design team, web development, and others to ensure content contains technical accuracy, depth, and has a compelling narrative.
• Technical Content & Advocacy: Step into the shoes of the data scientist and MLE to develop resonating content at all stages of the funnel.
• Ensure key storytelling topics have technical coverage across social, video, pdf, and webcopy.
• Tell the story of the customer from the technical perspective.
• Develop technical customer advocacy materials.
• Draft and finalize written & video technical stories.

Technical Product Marketing Manager (Technical)

Marketing

Coordinate marketing activities for Kumo's AI machine learning platform.

• Schedule calls and manage calendar changes for key stakeholder meetings
• Send action items, due dates, and reminders
• Schedule all social media posts and partner with executives to ensure posts are made. Send reminders as needed
• Coordinate product launch calendar and workback schedules for key decisions, stakeholders, and deliverables. Ensure stakeholders are reminded and are delivering in order to keep all projects on track.
• Organize analyst, customer, and interviews with journalists as needed. Ensure all key decisions, stakeholders, and deliverables are identified, tracked, and on time.
• Update the website, post blogs, add/remove events, and open tickets for website development work. Track and ensure website work is planned and delivered across internal stakeholders and web development team.
• Coordinate and assign all design work for the design team. Understand all incoming asks, timelines, and scopes to ensure designs are reviewed and finalized with each stakeholder.
• Take responsibility for marketing database and marketing database communications in partnership with the Marketing Programs Manager to invite contacts to webinars, events, and inform them of news and announcements.
• Support events, run reports, order items, and other tasks as they are identified.

Marketing Coordinator

Solutions Engineer

• As the ML Solutions Architect for North America, East Coast, you will serve as the primary technical liaison for Kumo’s customers and prospects on the East Coast.
• Your objective is to discover the technical needs of customers and showcase how Kumo can address them (or explain why you think it won’t).
• With this information, you will craft and tell a story of how Kumo can deliver value to their organization.
• Together with the customer and Account Manager, you will put together a plan to solve the customer’s machine learning problems using Kumo.
• You will leverage your industry knowledge and data science expertise to help the customer craft the solution architecture and machine learning approach for their use cases, and guide them to achieve technical wins.
• You will maintain relationships with technical champions, ensuring continued success of existing models as well as expansion to new use cases.

ML Solutions Architect (North America - East Coast)

ML Solutions Architect at Kumo for training Graph Neural Net models.

• Be a Kumo platform superuser - understand the product in and out and how it should be used to solve customer problems.
• Lead the technical discovery to understand the alignment between what Kumo offers and prospective customer expectations.
• Conduct product demos of Kumo solving ML problems in a variety of verticals, including finance/fraud, growth/marketing, personalization/commerce, and forecasting/optimization.
• Guide the customer to achieve meaningful wins on high-impact ML problems, by leveraging your problem-solving skills, data science knowledge, and industry experience.
• Be hands-on, to help customers overcome challenges they may encounter in achieving sufficient model performance, or integrating Kumo into their production systems.
• Lead architecture reviews and security assessments.
• Maintain meaningful relationships with technical influencers and champions within ML teams, both pre and post-sale.
• Educate current Kumo users on how to successfully use our product, best practices, etc. so that they increase usage across a larger and larger number of internal workloads.
• Provide market and customer feedback to the Product and Engineering team to refine feature specifications and the product roadmap.
• Create broader processes for each customer to go through to ensure we can drive repeatable successes in PoCs.
• Generate Kumo platform educational materials to disseminate amongst current users or prospects.

ML Solutions Architect (EMEA)

Machine Learning Engineer

• Come and change the world of AI with the Kumo team!
• Build the first data platform to allow machine learning over data warehouses
• Work with real-world datasets and apply state-of-the-art machine learning techniques
• Drive changes in the algorithm and infrastructure based on engagement findings


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