Unanet is seeking a Product Manager for their AI-powered growth initiatives in the Architecture, Engineering & Construction (AEC) industries. The role involves developing a roadmap for AI-first capabilities, leading product discovery, and collaborating with various teams to translate customer needs into actionable product strategies.
Responsibilities:
- Develop and drive a forward-looking roadmap for AI-first AEC capabilities for Unanet’s GrowthStudio product
- Lead product discovery, framing, and prioritization for customer-facing AI-enabled workflows and experiences
- Leverage internal AI tooling across the full product lifecycle, from discovery and strategy through prototyping, PRD creation, and refinement
- Partner with UX and Engineering to shape agentic workflows; move quickly from concept to validated prototype, and ensure we are solving the right problems for our customers
- Define success metrics, evaluation approaches, and feedback loops for LLM- and agent-driven experiences, including human-in-the-loop validation
- Translate strategy and research into actionable requirements and release plans
- Communicate effectively across technical and non-technical stakeholders, including Engineering on requirements and Marketing on Go-to-Market strategy
- Track competitive and market developments in AEC and use that insight to inform our roadmap, positioning, and moat-building decisions
- Help evolve how Product works in an AI-first organization by modeling strong use of AI in day-to-day product management practices
Requirements:
- 5+ years of experience in the Architecture, Engineering, and Construction (AEC) industry, or deep experience building software products for AEC customers
- Experience translating customer and market insights into product requirements, prototypes, and launched software capabilities
- Prior experience working in an Agile or AI-accelerated product development environment
- Experience with AI-powered products, including LLMs, agentic workflows, AI-assisted experiences, or adjacent technologies
- Strong analytical skills, with the ability to define problems, evaluate data, identify risks, and make informed product decisions
- Ability to collaborate effectively across Product, Engineering, UX, Marketing, and customer-facing teams, communicating complex concepts to technical and non-technical audiences alike
- Comfortable working with technical architecture, data models, information retrieval systems, and product evaluation frameworks
- Strong written and verbal communication, presentation, and stakeholder management skills
- Familiarity with responsible AI principles, including fairness, transparency, and accountability
- Self-directed, collaborative, and execution-oriented, with a track record of delivering high-quality solutions
- Willingness and ability to travel to customer and non-customer sites (~15%)
- Proven success in builder-led environments, delivering products through rapid iteration, launch, and post-launch growth
- Hands-on experience with agentic workflows, prompt engineering, LLM orchestration, and AI-assisted product development using tools such as Cursor, Claude Code, Glean, Replit, and MCP-enabled workflows
- Experience building or managing B2B ERP, CRM, system-of-record software solutions
- Understanding of AEC proposal development processes and compliance-sensitive software environments, including AI governance and regulatory considerations