Technical Product Manager - AI Systems

Software Guidance & Assistance, Inc. (SGA, Inc.) is a women-owned technology and resource solutions provider that delivers IT consulting and staffing solutions for technology clients. The company is seeking a Technical Product Manager to define requirements, guide technical decisions, and drive the development and delivery of AI-powered products and systems. The role owns product outcomes across evaluation, prioritization, execution, quality, safety, scalability, and operational reliability.

Responsibilities:

• Define and document requirements for AI-powered products and systems, translating user needs into scalable technical solutions
• Partner closely with engineering, machine learning, and platform teams to drive architecture discussions, product decisions, and implementation strategies
• Evaluate trade-offs across performance, reliability, cost, latency, and user experience to support business objectives
• Develop and refine evaluation methodologies, including offline testing, experimentation frameworks, and user feedback mechanisms
• Convert technical findings, model performance data, and system constraints into clear product recommendations and priorities
• Drive execution through well-defined specifications, roadmap planning, and focused prioritization
• Support the delivery of AI-enabled features with a focus on quality, safety, scalability, and operational reliability
• Own end-to-end product outcomes, ensuring solutions are accurate, dependable, and aligned with customer expectations

Requirements:

• Strong foundation in computer science concepts, including algorithms, data structures, and distributed systems design
• Solid understanding of machine learning fundamentals and the challenges of deploying AI systems in production environments
• Ability to review, interpret, and contribute to technical design documentation and architecture discussions
• Hands-on experience with AI-driven products, including applications leveraging large language models or related technologies
• Experience with model evaluation, iterative improvement processes, experimentation, and feedback-driven optimization
• Strong understanding of common AI challenges such as model reliability, bias, hallucinations, and performance drift
• Proven track record managing complex technical products through the full product lifecycle
• Experience collaborating with senior engineering and machine learning teams in fast-paced environments
• Exceptional analytical, decision-making, and prioritization skills with the ability to navigate ambiguity
• Ability to balance innovation with technical feasibility, operational constraints, and business goals
• Experience launching consumer-facing products with significant AI or machine learning components
• Previous background in software engineering or highly technical product management roles
• Experience defining and measuring success metrics for AI and machine learning systems
• Strong understanding of AI user experience design patterns and failure-recovery strategies
• Experience working in early-stage, high-growth, or zero-to-one product development environments