Senior Product Manager - AiFabric

Overview

• 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 competitors
• Lead deep competitive analysis and customer research to identify gaps in existing solutions and opportunities for innovation
• Define the product roadmap across data integration, transformation pipelines, orchestration, governance and AI/ML capabilities
• Partner closely with engineering leadership to guide them with architectural and technical decisions that will scale to enterprise requirements
• Engage 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 opportunities
• Define 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 launch
• Establish and monitor key metrics, defining success criteria, and iterating based on user feedback and performance data
• Communicate 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 environments
• A track record in building and scaling AI data platforms, data infrastructure, or enterprise data products, or AI/ML product platforms
• Strong understanding of modern data stacks, including data warehouses, data lakes, ETL/ELT pipelines, orchestration and AI & data governance
• Familiarity with AI/ML workflows, model deployment, feature stores and MLOps concepts
• Experience leading products through multiple stages of maturity, from early validation to scale
• Experience 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 essential
• Strong enterprise product experience including understanding of complex sales cycles, procurement, security/compliance requirements
• Strong strategic thinking with ability to define product vision and translate it into actionable roadmaps
• Excellent communication and presentation skills with experience influencing C-Level customers and internal executives
• Experience building products for technical users (data scientist, ML engineers, platform engineers, developers) and business users
• Self-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 boundaries