Senior Product Manager - AiFabric

Blackford Technologies are looking for a Senior Product Leader to own and shape the future of our flagship AI data platform from the ground up. This is a rare opportunity to define and build a category defining product that will compete directly with established players in the enterprise data platform space. A product that is is more flexible, developer friendly, and built for modern data andAI workflows. You will work at the intersection of data engineering, AI/ML and enterprise software shaping a product that will power critical decision making for some of the worlds largest organisations.You will work closely with our engineering, design, marketing and customer facing teams to define product strategy and deliver exceptional experiences for users.We offer the opportunity to be involved in, and influence the strategy to build a product business from the ground up. A flexible work environment with a culture of learning, collaboration and impact.The ideal candidate has demonstrable experience building enterprise AI data technology platforms, and have a strong technical and commercial understanding of competitors in this domain (Palantir, Databricks, Dataiku, C3Ai). However, what will really help candidates standout will be examples of them creating real platforms and businesses in this space.This role reports directly to the Head of Product and will the founding PM for this initiatve with significant autonomy and impact.Own and Product Vision and Strategy for our AI data platform, defining what we build and how we differentiate from competitorsLead deep competitive analysis and customer research to identify gaps in existing solutions and opportunities for innovationDefine the product roadmap across data integration, transformation pipelines, orchestration, governance and AI/ML capabilitiesPartner closely with engineering leadership to guide them with architectural and technical decisions that will scale to enterprise requirementsEngage directly with enterprise customers to understand complex workflows, pain points and requirements. Lead the discovery effort by collaborating with market research, marketing, and engineering to identify strategic opportunitiesDefine clear product requirements and partnering with engineering (technical build), marketing (GTM strategy, and sales enablement's), design (exceptional user experience) and other leadership stakeholders to bring products through the innovation funnel from concept to launchEstablish and monitor key metrics, defining success criteria, and iterating based on user feedback and performance dataCommunicate product vision, strategy and progress to the broader team, and leadership.12+ Years of product development and management experience with time spent in technology startup environmentsA track record in building and scaling AI data platforms, data infrastructure, or enterprise data products, or AI/ML product platformsStrong understanding of modern data stacks, including data warehouses, data lakes, ETL/ELT pipelines, orchestration and AI & data governanceFamiliarity with AI/ML workflows, model deployment, feature stores and MLOps conceptsExperience leading products through multiple stages of maturity, from early validation to scaleExperience building and developing AI data products and platforms that go head to head with category leaders (Foundry, Databricks, Snowflake, Dataiku)Comfortable in a deep technical environment with a broad, cross functional team to drive product Agentic based products, applications, and platforms. Technical depth to engage with data engineers, platform architects and CTOs on technical requirements and trade-offs is essentialStrong enterprise product experience including understanding of complex sales cycles, procurement, security/compliance requirementsStrong strategic thinking with ability to define product vision and translate it into actionable roadmapsExcellent communication and presentation skills with experience influencing C-Level customers and internal executivesExperience building products for technical users (data scientist, ML engineers, platform engineers, developers) and business usersSelf-starter – This is a small team environment we need doers not manager. Collaborative – we have a great team of people, we only want people who can work across roles and functional boundariesNice to haveDirect experience with Palatir Foundry, Databricks or similar platformsBackground as a Data Engineer, ML Engineer or Software engineerExperience in industries with complex data needs (Healthcare, FS, Supply Chain etc)Understanding of real-time data processing, streaming architectures, or event driven systemsExperience with graph data bases, knowledge graphs, or semantic layersUnderstanding and experience of different licensing and pricing modelsExperience in early and mid stage startup#J-18808-Ljbffr