Opkey, we are disrupting the space of ERP transformation testing by building an AI-powered No Code Testing platform for Enterprise business applications (like Oracle Fusion Cloud, SAP S4Hana, SAP, Workday, Salesforce, and the likes). Opkey is a fast-growing VC-backed continuous end-to-end test automation software company headquartered in Dublin, California, with additional offices in Pittsburgh (opened in 2022), NYC (opened in 2022), & India (Noida & Bangalore). With the test automation market growing 20% annually, it's estimated to reach $50 billion by 2026. Trusted by 250+ enterprise customers, including GAP, Pfizer, and KPMG.
We are seeking an experienced
AI Product Leader with 12+ years of experience to drive the vision, strategy, and execution of our AI-powered ERP lifecycle optimization solutions. The ideal candidate will have deep expertise in artificial intelligence and enterprise software, with a proven track record of bringing innovative AI products to market. Experience with ERP systems is beneficial but not required.
Key Responsibilities
- Lead the strategic vision and roadmap for Opkey's AI-powered solutions, including our ERP-specific domain SLM and agentic AI technologies
- Translate business requirements into product specifications and guide cross-functional teams through the product development lifecycle
- Collaborate with engineering, data science, LLM and design teams to deliver high-quality AI products that address customer needs
- Work with domain experts to develop AI solutions that optimize ERP lifecycles
- Establish metrics and KPIs to measure product success and drive continuous improvement
- Stay current with advances in AI/ML technologies, particularly in NLP, agent-based systems, and enterprise automation
- Partner with sales and marketing teams to articulate the value proposition of our AI solutions to enterprise customers
- Lead competitive analysis and market research to ensure product differentiation and market fit
- Manage relationships with key technology partners and stakeholders
Required Qualifications
- 12+ years of experience in product management or product leadership roles, with at least 5 years focused on AI/ML products
- Proven track record of successfully launching enterprise AI solutions
- Deep understanding of modern AI/ML technologies, particularly LLMs, NLP, and agent-based systems
- Strong technical background with the ability to collaborate effectively with data scientists and engineers
- Excellent communication and stakeholder management skills
- Experience in B2B SaaS product management and go-to-market strategy
- Demonstrated ability to drive innovation in complex enterprise environments
Good To Have
- Experience with ERP systems (SAP, Oracle, Workday, etc.) and enterprise software
- MBA or advanced degree in Computer Science, AI, or related field
- Knowledge of enterprise software integration challenges
- Understanding of service level management (SLM) in enterprise contexts
Skills & Competencies
- Strategic thinking and visionary leadership
- Deep technical understanding of AI/ML concepts and applications
- Strong product management fundamentals (market research, roadmapping, prioritization)
- Excellent communication and presentation skills
- Ability to translate complex technical concepts for business audiences
- Data-driven decision making
- Cross-functional leadership and influence
- Customer-centric mindset with empathy for enterprise pain points
- Adaptability and comfort with ambiguity in a rapidly evolving field
- Willingness to learn about ERP systems and their specific challenges
What We Offer
- Opportunity to lead the development of groundbreaking AI solutions in the ERP space
- Competitive compensation package including equity
- Collaborative and innovative work environment
- Professional development and growth opportunities
- Chance to work with cutting-edge AI technologies and shape the future of ERP management
Skills: b2b saas,ai,strategic vision,cross-functional collaboration,leadership,enterprise,llm,enterprise automation,ml,roadmap development,product management,market research,stakeholder management,slm,nlp,agent-based systems,data science,erp,ai product management,ai/ml technologies,enterprise software
