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The position partners with agentic software engineers to ship production AI features by writing structured requirements, prototyping in code, validating with customers, and iterating daily. 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You’ll be embedded in the product-engineering loop: writing structured requirements, prototyping in code, validating with customers, and iterating with the dev team daily.  \nThis is a hands-on, high-agency role. We use AI extensively in how we work and not just in what we build. You’ll leverage agentic tools daily for research, requirements, prototyping, and synthesis, and help define what modern product management looks like when AI is a real collaborator, not a novelty.  \nKey Responsibilities  \nProduct Strategy & Execution  \n● Define and prioritize features across your product areas, making smart bets on what to build, what to defer, and what to kill  \n● Maintain living requirements docs, context summaries, and decision records that the development team actually uses  \n● Write requirements in structured, testable formats (acceptance criteria, business rules, scope boundaries)  \nEngineering Collaboration  \n● Prototype UI concepts and workflows directly. You’re comfortable spinning up a branch, mocking up a screen, or pair-prototyping with an engineer  \n● Participate in architecture discussions, code reviews, and sprint planning as a technical peer  \nCustomer & Domain Expertise  \n● Lead deep-dive customer sessions with R& D managers, scientists, formulators, and regulatory specialists  \n● Translate complex domain problems into clear product decisions. You need to be comfortable going deep on industry-specific workflows and regulatory requirements  \n● Maintain competitive intelligence and use it to inform roadmap and positioning decisions  \nAgent ic Workflows  \n● Use and improve AI-assisted workflows for requirements intake, competitive research, regulatory analysis, and backlog management  \n● Collaborate with an engineering team that ships using agentic coding tools and modern AI-assisted development workflows  \nRequired Qualifications  \n● 4+ years of product management experience on technical, data-intensive products like PLM, ERP, formulation, labeling, or supply chain software strongly preferred  \n● Demonstrated ability to work at the code level: prototyping, reading PRs, writing structured specs that engineers respect, debugging product behavior  \n● Deep comfort with AI-assisted workflows. You already use Claude Code, Cursor, or similar tools to accelerate your own work, and you’re not waiting for someone to teach you  \n● Strong customer-facing skills where you can hold your own in a room with food scientists, regulatory experts, or enterprise IT leaders  \n● Clear, concise written communication as you write requirements that reduce ambiguity, not create it  \nNice-to-Have Skills  \n● Domain experience in Food & Beverage, Personal Care / Cosmetics, or Supplements  \n● Experience working in regulated product environments ( FDA, USDA, EU, or similar)  \n● Familiarity with agentic AI patterns like tool calling, orchestration, retrieval pipelines, evals. , sufficient to be a credible partner to engineering  \n● Background in B2B SaaS at a growth-stage company  \nWhy Specright  \n● Entrepreneurial culture. We’re fast-paced, informal, and flat. Collaboration and innovation matter more than hierarchy or fear of mistakes.  \n● Real impact. Your work will power AI capabilities that touch real supply chain decisions across major industries.  \n● Autonomy and ownership. We hire senior people and trust them to make decisions, ship fast, and continuously improve what they build.  \n● Global team. You’ll collaborate across time zones with talented colleagues who care about craft.  \n● Competitive perks. Competitive salaries, flexible work hours, and a full benefits package ( Medical, Vision, and Dental","cbCairyPMY8vHqad","https://ap.wps.com/l/cbCairyPMY8vHqad","pdf",78069,"English","# Role Summary\n# Key Responsibilities\n## Product Strategy & Execution\n## Engineering Collaboration\n## Customer & Domain Expertise\n## Agentic Workflows\n# Required Qualifications\n# Nice-to-Have Skills\n# Why Specright\n# About Specright","[{\"question\":\"What product areas does the AI Product Manager support at Specright?\",\"answer\":\"The role supports formulation, labeling, compliance, and specification management within an agentic AI-based PLM and product development solution.\"},{\"question\":\"What does daily execution look like in this position?\",\"answer\":\"The work includes writing structured requirements, prototyping features in code, validating with customers, and iterating with the development team on a daily basis.\"},{\"question\":\"What technical and communication skills are required?\",\"answer\":\"The role requires hands-on ability at the code level (prototyping, reading PRs, debugging) and clear, concise written requirements that reduce ambiguity.\"}]","AI Product Manager - Job Description - Specright | PDF",1789344810]