Original listing text, shown exactly as published by the company.
The Opportunity
We’re looking for a forward-thinking Product Manager to lead our AI-driven automation initiatives across business and engineering workflows. In this role, you’ll define and deliver intelligent systems that reduce manual effort, enhance decision-making, and transform how we operate. You’ll work closely with data scientists, ML engineers, and business stakeholders to build scalable, compliant, and impactful automation products powered by cutting-edge AI.
What you'll be doing
- Drive Automation Strategy: Identify and prioritize high-ROI opportunities to automate internal processes and customer-facing workflows using AI (e.g., document extraction, data matching, code generation, and intelligent support bots).
- Define Product Vision: Translate business needs into functional requirements, product specs, and measurable success metrics for AI-powered modules leveraging LLMs, embeddings, OCR, and predictive analytics.
- Collaborate Cross-Functionally: Partner with ML engineers to design and implement human-in-the-loop workflows, confidence-scoring systems, and validation frameworks to ensure accuracy and trust.
- Integrate AI into Core Products: Develop and maintain a product roadmap for embedding automation into existing solutions, such as receipt and invoice reconciliation or ad platform optimizations to enhance efficiency and scalability.
- Ensure Governance and Compliance: Align automation initiatives with data governance, compliance, and auditability standards, ensuring responsible and transparent AI implementation.
- Evaluate and Implement Technologies: Conduct vendor assessments (e.g., Google Vertex AI, AWS Bedrock, OpenAI APIs) and manage proofs of concept (PoCs) to validate technical feasibility and business impact.
What you bring
- 5+ years of product management experience, preferably in AI, ML, automation, or data-driven products.
- Strong understanding of AI technologies (LLMs, embeddings, OCR, predictive models) and their business applications.
- Proven ability to translate complex technical concepts into clear business outcomes.
- Experience with cloud-based AI platforms (AWS, GCP, Azure) and vendor evaluation processes.
- Familiarity with compliance and governance frameworks related to AI or data automation.
- Excellent communication and stakeholder management skills.
