SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Satori Analytics is a pure-play Enterprise AI company with 11 years of track record, 90% client retention, and recognition as AI & Data Provider of the Year 2026. The company deploys GenAI agents, forecasting models, digital twins, and data infrastructure for 50+ large enterprises across energy, financial services, retail, CPG, manufacturing, and healthcare.
You will lead the product function day-to-day for Satori's own IP products. These are not traditional SaaS—they are AI systems deployed into client cloud tenants or on-premises environments, with ~80% value delivered out-of-the-box and the remainder customized. This means deployment paths, trials, marketplace listings, and SLAs are as critical as feature development.
Key responsibilities include:
• Translating product strategy into a sequenced roadmap with clear trade-offs and prioritization discipline.
• Breaking roadmaps into epics and stories that engineers can execute without rework.
• Owning the full delivery cycle: planning, prioritization, unblocking, and on-time releases across all software products.
• Designing trial experiences and defining success metrics; building repeatable onboarding practices that improve with each deployment.
• Shortening time-to-production, including through cloud marketplace channels (Azure, AWS).
• Establishing customer success practices to ensure SLAs are met and post-launch learnings feed back into product.
• Supporting the Chief Sales Officer on competitive tracking, pricing strategy, business case development (cost-to-serve, payback periods), and sales enablement.
• Partnering with AIR Satori (the internal research team) to keep research goals aligned with product roadmap priorities.
You will work in a 120+ person organization of engineers, data scientists, and AI specialists, embedded within client teams and shipping both pro-code and low-code solutions.
Requirements:
• 3+ years of product management or product ownership experience in enterprise software.
• Engineering fluency: ability to write clear stories that developers can execute without rework, and comfort discussing technical trade-offs without intermediaries.
• AI literacy: understanding of what AI agents, forecasting models, and ML pipelines can and cannot do, and the deployment and support challenges they present.
• Builder mindset: comfort designing processes (onboarding, trials, SLA management) from scratch.
• Clear writing and communication: ability to ensure alignment across diverse stakeholders on what is being built.
Bonus experience:
• Listing or selling through Azure or AWS Marketplace.
• Background in a consultancy that productized part of its service delivery.
• Exposure to energy, financial services, retail, or manufacturing clients.
• Hands-on customer success or technical account management experience.
• Agile experience with a thoughtful view on which practices add value.
