Product Analyst

About Dynamo AI

Compliant-Ready AI for the Enterprise

The role

### About DynamoAIDynamo AI is building the future of trustworthy AI for the enterprise. Our platform provides real-time guardrails, redteaming, and observability for generative AI systems—ensuring safe, compliant, and reliable AI deployments in regulated industries such as financial services, insurance, DoD, and healthcare.### The rolePMs run several workstreams at once. As an analyst, you take individual complex items inside those streams and own their design and specification: scope the problem, design the experiment, define how success is measured, run the analysis, and come back with a recommendation. When building is faster than waiting, that includes standing up a quick custom tool with AI to test an idea.You won't write training or infrastructure code; the platform handles that. What you bring is experimental design and analytical rigor.### What you might work on* **Guardrail training data**: curate and design the data that trains an SLM guardrail (for example, a prompt injection detector), and keep labeling consistent as datasets grow.* **Orchestration experiments**: test different configurations of guardrails and controls against each other to find what performs best.* **Synthetic data quality**: assess whether synthetic training or eval data is faithful and diverse enough to trust.* **New evaluations**: research and scope new ways to evaluate guardrails and AI applications, then specify how they work.* **Rapid tooling**: build small custom tools with AI to validate a hypothesis or unblock the team.* **Benchmarking**: measure performance with standard classification metrics (FNR, FPR, precision, recall) and report what's working and what isn't.### Growth pathYou'll start on well-scoped items and move to harder, more ambiguous ones. Over time you'll build intuition for SLM training, guardrail orchestration, and how controls fit into a full AI application. This is a track toward a senior, technical product role.### Requirements* A degree with strong quantitative or analytical content. We're especially interested in less common backgrounds (physics, information or data theory, business, and similar) alongside solid data-analysis experience.* A clear, demonstrated framework for thinking through problems.* Good instinct for data, ML concepts, and what makes an experiment or metric trustworthy.* Python and pandas for working with data.* Interest in AI security or safety and adversarial thinking.* Attention to detail and clear writing.### Nice to have* ML coursework.* Reading or working proficiency in Japanese, Chinese, or a European language.* Coursework or projects in stats or NLP.* SQL.* A habit of building small tools or scripts (including with AI assistants) to answer your own questions.* Exposure to LLMs, security tooling, experimental design, or annotation work.

Skills

• Python
• Data Analytics