AI Operations Strategist

Urgently Required:
Reports to: Head of Product
Function: Product
About the Role
We are looking for an **AI Product Manager** to lead the identification, evaluation, and adoption of AI capabilities across the organization. This person will bridge the gap between emerging AI technology and practical business impact, deciding what to build, what to buy, what to prompt-engineer, and what to skip. They will own the AI roadmap in partnership with Product and be directly accountable for demonstrating measurable ROI from AI initiatives.
This is a hands-on, high-ownership role suited to someone who is equally comfortable writing production-grade prompts, evaluating whether a task needs a fine-tuned model vs. an off-the-shelf API, and presenting a business case to leadership.
Key Responsibilities
1. AI Strategy & Tool Selection
- Evaluate emerging AI tools, models, and platforms (LLMs, vision models, automation tools, agentic frameworks, etc.) and recommend the right tool for the right problem.
- Make build-vs-buy-vs-prompt decisions: determine when a task needs a custom model, a fine-tune, a well-engineered prompt/agent on an existing foundation model, or a third-party SaaS AI tool.
- Maintain a working knowledge of the AI tooling landscape and keep the organization's stack current and competitive.
2. Prompt Engineering & Applied AI
- Design, test, and refine prompts and prompt systems (including multi-step/agentic workflows) for internal and product-facing use cases.
- Build and maintain reusable prompt libraries, evaluation frameworks, and best practices for teams using AI tools.
- Troubleshoot and optimize existing AI-powered workflows for accuracy, cost, and latency.
3. Model Understanding & Technical Fluency
- Maintain a solid working understanding of how models are built, trained, and fine-tuned (LLMs and other ML models) — enough to have informed technical conversations with engineering/data science teams and vendors.
- Partner with engineering teams on technical feasibility, data requirements, and integration architecture for AI initiatives.
- Stay current on model capabilities, limitations, and release cycles across major providers.
4. ROI & Business Ownership
- Own the business case for every AI initiative: define success metrics, track cost (compute, tooling, licensing, time), and measure impact against outcomes.
- Build and maintain a reporting framework/dashboard to track AI ROI across the organization.
- Kill, scale, or iterate on initiatives based on data — avoid AI adoption for its own sake.
- Present ROI findings and recommendations regularly to the Head of Product and leadership.
5. Cross-functional Collaboration
- Work closely with Engineering, Design, Business and Operations to identify high-value AI opportunities within existing workflows and products.
- Act as the internal point of expertise for "can/should AI solve this?" questions across teams.
- Train and upskill non-technical teams on effective prompting and AI tool usage.
6. Governance & Responsible AI
- Ensure AI tool usage complies with data privacy, security, and IP guidelines.
- Establish guardrails for responsible and safe use of AI tools across the organization.
Requirements
Must-Have
- 3+ years of experience in a role involving applied AI/ML, product, or technical program management, with hands-on prompt engineering experience** (production use cases, not just casual use).
- Strong conceptual understanding of how AI/ML models are built — training, fine-tuning, embeddings, RAG, evaluation — sufficient to evaluate technical trade-offs and speak credibly with engineers.
- Demonstrated ability to evaluate and select the right AI tool/model for a given business problem (cost, latency, accuracy, build complexity).
- Track record of owning and reporting on ROI/business impact of a project or initiative.
- Strong business acumen — able to translate technical AI capability into business value and communicate it to non-technical stakeholders.
- Excellent written and verbal communication skills.
- Experience in a Product organization or working closely with Product teams.
- Prior experience building or managing an internal AI tools/prompt library.

Work arrangement
No