Product Manager — Applied AI

Overview

The Product Manager — Applied AI bridges business goals and AI capabilities. They define what AI solutions should be built, why they matter, and how to measure success. In Gigster’s network-driven delivery model, they act as the connective tissue across clients, technical architects, engineers, and design, ensuring AI projects have clear direction and measurable outcomes.

Non-Negotiables

-Experience defining AI solution requirements and aligning them with business KPIs.

-Ability to identify and triage high-value AI use cases within enterprise or startup contexts.

-Proven track record managing AI-first product roadmaps, POCs, and iterative experiments.

-Cross-functional leadership across engineering, design, and MLOps teams.

-Excellent written and verbal communication skills for both technical and executive audiences.

Ideal Candidate Profile

Technical Expertise

-AI Foundations – Understanding of AI principles, frameworks, and model types.

-Use Case Scoping – Ability to prioritize experiments, validate data availability, and measure success.

-System Awareness – Familiar with trade-offs between proprietary APIs, open-source frameworks, and agentic systems.

-Tooling Familiarity – Proficient with standard PM tooling (Jira, Trello, Notion) and AI landscape basics.

Soft Skills & Mindset

-Strategic Thinker – Frames AI initiatives in terms of business value and outcomes.

-Bridge Builder – Translates between business leaders and technical teams.

-Experiment-Driven – Validates assumptions quickly and adjusts roadmaps based on results.

-Clear Communicator – Explains AI’s impact in simple terms to stakeholders.

Preferred Industry & Background

-Product managers with AI-first product experience.

-Leaders in digital transformation initiatives leveraging AI infusion.

-PMs in consultancies or tech firms who worked across multiple industries.

-Individuals with exposure to both technical and business strategy roles.

Core Responsibilities

-Identify and prioritize AI use cases aligned to business strategy.

-Translate business/user needs into clear AI product requirements.

-Own roadmap for AI features, experiments, and iterative learning cycles.

-Coordinate cross-functional delivery with engineering, design, and MLOps.

-Define success metrics and evaluate impact of AI solutions.

Traits That Stand Out

-Consistently delivers AI projects that align with measurable business outcomes.

-Anticipates risks around feasibility, adoption, and data early in projects.

-Guides teams with clarity and confidence across ambiguous or emerging spaces.

-Communicates impact of AI in language accessible to executives and engineers alike.

Join the Gigster AI Network

Work with some of the world's best engineers, product managers, and architects delivering real AI solutions. Gigster connects elite talent with high-impact projects — from rapid prototypes to production-grade AI systems.

Why Gigster?

Curated global network of top AI builders
Flexible, fully remote project work
Exposure to cutting-edge use cases across industries
AI-accelerated development using the latest tooling

Apply once and get preferential consideration for new engagements.