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Product Manager at Teamified. Teamified . works with top enterprises and digital native businesses in Australia helping them build their remote teams in India, Philippines and Sri Lanka. We pride ourselves with hiring great teams to work on exciting game changing technology. Teamified currently has 200+ engineers, testers, product managers etc. working across 20+ partners. We focus on uplifting the way organisations build and manage their remote teams through great working relationships, trust, integrity, culture and hiring processes. Additional to this we are building our own technology product offerings. We strive to deliver the best outcomes for our customers, our partners and our people.. About our Client:. Our Client helps teams improve performance and wellbeing by turning survey and timesheet data into actionable insights using cutting-edge AI technology. They are building an intelligent engine that detects signals, recommends actions, and automates workflows across safety, engagement, and productivity. They offer startup excitement with established business stability. They’re at an exciting inflection point - transitioning from agency support to a fully internal engineering team while scaling revenue growth. They are investing heavily in AI-driven development workflows - specifically leveraging the BMAD Method (Breakthrough Method for Agile AI-Driven Development) and similar frameworks to optimize our development processes through specialized AI agents for planning, architecture, and implementation.. About the Role:. We're looking for a Product Manager who thrives in high-ownership environments and is excited about AI-enhanced product development workflows. Working closely with our engineering team and reporting to the CTO, you'll drive product strategy and execution while managing complex stakeholder relationships. You'll help integrate AI/LLM capabilities (Claude, Gemini) into our product strategy and work directly with our engineering and design teams to ship solutions that matter to our customers.. This role is perfect for a product manager who wants to shape the future of workplace insights while leveraging AI tooling to drive product innovation and enhance team productivity across multiple priorities and stakeholders.. Key Responsibilities:. . Drive AI-enhanced product strategy: Lead product roadmap development leveraging AI planning agents and context-engineered development processes to optimize product decisions and customer insights. . Master stakeholder orchestration: Coordinate seamlessly between engineering, design, sales, customer success, and executive leadership to align on priorities, manage expectations, and drive product delivery. . Champion customer-centric discovery: Conduct customer interviews, analyze feedback data, and translate insights into actionable product requirements using AI-assisted analysis and pattern recognition. . Juggle multiple high-impact initiatives: Manage competing priorities across feature development, technical debt, customer escalations, and strategic initiatives while maintaining clear communication and team momentum. . Lead AI tooling adoption: Drive the adoption and utilization of AI tools to enhance product capabilities, improve customer insights, and optimize team productivity. . Facilitate agile excellence: Lead sprint planning, standups, retrospectives, and cross-functional collaboration while maintaining team focus and delivery momentum. . Communicate with precision: Create compelling product narratives, roadmaps, and updates for diverse audiences from technical teams to executive stakeholders. . Analyze and optimize: Use data analytics, customer feedback, and AI-enhanced insights to measure product success, identify improvement opportunities, and iterate on features. . 3-5 years of product management experience in B2B software or SaaS environments with proven track record of driving product growth. . . Stakeholder management mastery. : Proven ability to manage complex stakeholder relationships, drive alignment across multiple teams, and navigate competing priorities effectively. . . Project orchestration excellence. : Strong organizational abilities with experience managing multiple concurrent priorities, deadlines, and cross-functional initiatives. . . Customer-facing expertise. : Direct experience conducting customer interviews, gathering feedback, and translating customer needs into product requirements and roadmap decisions. . . AI tooling enthusiasm. : Interest in leveraging AI tools to drive product innovation, enhance customer insights, and improve team efficiency and productivity. . . Communication excellence. : Outstanding written and verbal communication skills with ability to tailor messaging effectively to technical teams, customers, and executives. . Analytical mindset with ability to make data-driven decisions while balancing quantitative insights with qualitative customer feedback. . Comfortable with technical concepts and able to work effectively with engineering teams on complex product requirements. . Nice to have:. . . HR tech experience. : Background in HR technology, workforce analytics, employee engagement platforms, or professional services software. . . Technical skills. : Software development background, technical product management experience, or strong technical aptitude for understanding system architecture and integrations. . . Customer support experience. : Direct customer support experience or demonstrated willingness to engage deeply with customer issues, feedback, and success metrics. . Experience with multi-tenant SaaS platforms, enterprise software, or B2B applications serving professional services firms. . Background in workplace psychology, employee wellbeing, or organizational development. . Familiarity with data analytics, business intelligence, reporting tools, or survey/feedback platforms. . How we work:. . . AI-enhanced product development. : Learn and apply AI-assisted product management methodologies to increase productivity and customer insights. . . Customer-centric approach. : Regular customer interviews, feedback sessions, and data analysis drive all product decisions and strategy. . . Data-informed decisions. : Strong emphasis on metrics, customer insights, and AI-enhanced analytics to guide product strategy and feature prioritization. . . Production-first mindset. : Ship iteratively, monitor actively, optimize continuously, and maintain direct connection to customer impact. . . Psychological safety. : Safe to ask questions, take risks, challenge ideas, learn from mistakes, and drive bold product decisions. . Company Location: Philippines.