Company

SaaS

SeniorProductManagerAIPlatform

$95–161k United States FULL TIME Remote Friendly
The Brief

“Senior Product Manager - AI Platform. Skills: AI Platform Product Management, Developer Experience, AI Governance, Platform Health. Own AI product strategy and roadmap. Align AI initiatives with company vision”

What You'll Achieve.

Align AI initiatives with company-wide product vision and revenue goals; Ensure alignment of platform metrics with AI-based application metrics

Industry & Context.

SaaS
Problems you'll solve

problem-solving skills; Translate tradeoffs into crisp product decisions

What They're Looking For.

Must Have

5+ years’ experience in product management, At least 3 years in a platform, infrastructure, or developer tools PM role, Experience conducting customer/user research, usability testing, and translating insights into product strategy, Proficiency with AI-driven prototyping methods, organizational and multi‑tasking abilities, Mastery of agile methodologies, processes, artifacts, Understanding exposure to emerging DevAI practices, problem-solving skills, Effective storytelling and presentation abilities, Excellent collaboration skills within and across teams, Ability to give and receive constructive design feedback, Awareness of industry trends, emerging technologies, and best practices in AI product design, Demonstrated track record of taking AI features from concept to production, Experience with AI/ML concepts, LLMs, MCPs, GenAI platforms, API integration, Familiarity with responsible AI principles, model interpretability, bias mitigation, and quality/accuracy metrics required for production grade AI systems, Experience collaborating with Data Science and Engineering teams to define training data needs, evaluate model performance, and implement iterative feedback loops, Proven track record shipping AI or ML capabilities into production, Sufficient technical depth to participate in architecture discussions with Engineering, Hands-on familiarity with at least one modern AI/ML stack, vector databases, and model serving infrastructure, Experience defining API contracts and SDK developer experiences, Comfort working with data engineering concepts, written communication skills for technical audiences, Computer science background (education or other demonstrated proficiency) required, Consumer or mortgage lending software experience is a experience in vertical SaaS required

Nice to Have

MBA preferred

What You'll Do.

Own AI product strategy and roadmap

Align AI initiatives with company vision

Build business cases for R&D investment

Make build-vs-buy decisions

Establish platform-level standards

Stay updated on AI/ML trends

Treat internal R&D teams as customers

Conduct discovery with feature teams

Define and own developer experience

Establish platform roadmap governance

Build feedback loops with consuming teams

Establish monitoring and observability standards

Translate regulatory requirements into platform requirements

Define data residency

PII handling policies

Maintain AI feature capability matrix

Define and own platform-level SLOs

Build platform health dashboards

Track platform adoption metrics

Hold regular platform reviews

Align platform metrics with AI application metrics

How You'll Work.

Team & Collaboration

Partner with executive leadership; Partner with principal engineers and ML infrastructure leads; Conduct structured discovery with feature teams; Partner with information security; Collaborate with application Product Managers

Communication Scope

Effective storytelling and presentation abilities; written communication skills for technical audiences

Process & Methodology

Manage multiple projects, priorities, and communication channels

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