Job Description
About The Role
Own product modules end-to-end from problem discovery to delivery, translating business
needs into clear PRDs, workflows, acceptance criteria, and rollout documentation.
Drive ML execution and quality oversee datasets, training coordination, evaluations, error
analysis, thresholds, fallback logic, and retraining triggers.
Prototype and validate AI ideas rapidly using LLMs, agents, and PoCs to test workflows,
guardrails, and feasibility before full-scale builds.
Ensure reliability and field readiness through rigorous validation, edge-case testing, RCAs, and
graceful degradation under low-confidence scenarios.
Define success metrics and quality gates to ensure predictable performance, minimal rework,
and scalable AI solutions.
Collaborate cross-functionally with engineering, data science, business, and customer teams to
align expectations and support adoption.
We are hiring an Associate Product Manager (APM) to build AI-driven enterprise products for
real-world use cases.
The role combines product ownership with hands-on ML and LLM prototyping.
Ideal for builders who turn experimental AI into reliable, scalable workflows.
Who We're Looking For
24 years of experience in Product Management or closely related roles, ideally in applied
AI/ML or execution-heavy enterprise systems.
Ability to decompose ambiguous problem statements into clear requirements, workflows,
and delivery plans.
Comfort working with data, including dashboards, logs, metrics, and evaluation outputs,
with strong attention to detail.
Exposure to AI-driven systems such as computer vision, LLM/agent-based workflows, or
speech/voice platforms is a strong plus.
Working knowledge of Python or SQL to support analysis, validation, or basic debugging.
Strong ownership mindset with high execution discipline and predictable follow-through.
Systems-oriented thinking with an understanding of AI uncertainty, edge cases, and real-
world operational constraints.
Clear written and verbal communication skills to document specifications and explain
complex behavior simply.
