Senior Product Manager, AI Platform - SpecLink.AI
AVEVA Group
Driven by transformative digital technologies and trends, we are RIB and we've made it our purpose to propel the industry forward and make engineering and construction more efficient and sustainable. Built on deep industry expertise and best practice, and with our people at the heart of everything we do, we deliver the world's leading end-to-end lifecycle solutions that empower our industry to build better.
With a steadfast commitment to innovation and a keen eye on the future, RIB comprises over 2,500 talented individuals who extend our software's reach to over 100 countries worldwide. We are experienced experts and professionals from different cultures and backgrounds and we collaborate closely to provide transformative software products, innovative thinking and professional services to our global market. Our strong teams across the globe enable sustainable product investment and enhancements, to keep our clients at the cutting-edge of engineering, infrastructure and construction technology. We know our people are our success - join us to be part of a global force that uses innovation to enhance the way the world builds. Find out more at RIB Careers. Senior Product Manager, AI Platform - SpecLink.AI Alpharetta, GA, USA (in-office) Job Description: RIB SpecLink is the platform architects, engineers, specifiers, and building product professionals rely on to define what gets built, how, and to what standard. We are bringing AI into the heart of specification work to help customers make better decisions, faster, while maintaining the rigor and trust the industry demands. We are seeking a Senior Product Manager to lead full lifecycle AI product ownership across the SpecLink platform, driving strategy, execution, optimization, and adoption of AI-powered workflows and collaboration tools for the AEC industry. This role will partner closely with Product, Engineering, Design, Customer Success, Sales, and Marketing teams to deliver scalable AI-enabled solutions that create measurable customer and business impact. Key Responsibilities:- Own end-to-end lifecycle execution of AI-powered product capabilities from discovery and roadmap definition through launch, optimization, and scale
- Conduct customer research, workflow analysis, and market validation to identify high-impact product opportunities
- Drive AI product operations including:
- Human-in-the-loop workflows
- AI tuning and behavioral optimization
- Continuous evaluation and iteration loops
- Observability, telemetry, and usage analytics
- Monitoring AI performance, adoption, and reliability
- Human-in-the-loop workflows
- Define AI quality standards, evaluation methodologies, and guardrails to ensure trustworthy and scalable customer experiences
- Drive pricing, packaging, product adoption, and Product Led Growth initiatives using KPIs, experimentation, and customer insights
- Partner cross-functionally with Engineering, Design, Customer Success, Sales, and Marketing teams to align priorities and deliver customer value
- Lead roadmap prioritization, release planning, GTM motions, and customer enablement activities
- Uphold the RIB Product Lifecycle Management process and help scale AI product development best practices
- 7+ years of experience in B2B SaaS product management, including 3+ years at a senior level
- Shipped production-grade AI products (not pilots), with hands-on knowledge of evaluation, agentic workflows, and failure modes
- Hands-on experience with:
- Prompt design and AI workflows
- Agentic orchestration
- Human-in-the-loop experiences
- AI evaluation frameworks and guardrails
- AI observability and telemetry
- Production AI workflow iteration
- Prompt design and AI workflows
- An AI-native operating style: You've redesigned how you and your team work as AI tools evolved & can direct AI on complex, ambiguous problems to develop coherent product experiences.
- Experience scaling products through 0→1 launches or 1→10 growth phases
- Strong customer discovery, stakeholder management, and communication skills
- Experience contributing to GTM strategy, pricing, packaging, and product adoption initiatives
- Ability to thrive in fast-paced, ambiguous environments while driving measurable business outcomes
- Bachelor's degree in Business, Engineering, Architecture, Computer Science, or related field
- AI Fluency Level: L3 (Builder) minimum
- Business Travel: Up to 15%
- Experience within AEC, construction, building products, or specification management industries
- Technical depth in RAG, Graph RAG, Structured Generation, Agentic workflows, Knowledge Graphs, and AI evaluation frameworks
- Experience designing AI-assisted enterprise workflows balancing automation with human oversight
- Familiarity with AI observability platforms, telemetry frameworks, and operational analytics
- Experience with spec-driven development practices and AI-assisted execution workflows
- Proven leadership experience mentoring or developing distributed product or engineering teams
- Master's degree (MBA, MEM, or technical discipline preferred)
Vacancy posted 4 days ago
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