AI Product Manager, AI Platform - Quality and Evaluation
Job Fit Check
Base Career helps you apply smarter for this job.
Key skills for this role
Key Skills for This Role
Full Job Posting
The impact you will have
Define and execute the product strategy and roadmap for Ridgeline's AI Quality Platform
Build scalable LLM evaluation frameworks and automated evaluation harnesses that enable continuous model validation
Establish standardized offline and online evaluation methodologies, golden datasets, and quality benchmarks across AI products
Define the roadmap for AI observability, enabling teams to monitor quality, latency, cost, reliability, and user outcomes in production
Partner with engineering and AI researchers to build continuous regression testing and experimentation capabilities for generative AI systems
Drive product decisions using AI quality metrics, customer feedback, and quantitative evaluation data
Collaborate with engineering teams to deliver platform capabilities that enable trusted, measurable, and continuously improving AI experiences across Ridgeline
Translate advances in foundation models, evaluation techniques, and AI tooling into platform capabilities that create meaningful customer value
Prioritize product investments using customer insights, product analytics, and measurable business outcomes
Communicate product vision, roadmap, and priorities clearly across technical and executive stakeholders
Foster a collaborative environment rooted in ownership, continuous learning, experimentation, and transparency
What we look for
- 5+ years of product management experience building highly technical platform, infrastructure, or developer-focused products
- Demonstrated experience shipping production AI products powered by large language models
- Experience defining products that incorporate LLM evaluation frameworks, AI quality measurement, and continuous model evaluation
- Deep understanding of offline and online evaluation methodologies, model benchmarking, regression testing, and AI quality metrics
- Experience with LLM observability platforms such as Datadog LLM Observability, Langfuse, LangSmith, Arize AI, Braintrust, Galileo, or similar AI quality and evaluation solutions
- Familiarity with prompt engineering, experimentation frameworks, evaluation datasets, and LLM-as-a-judge techniques for generative AI applications
- Experience partnering effectively with software engineers, ML engineers, AI researchers, and cross-functional stakeholders
- Strong analytical skills with the ability to translate AI performance signals into product decisions
- Excellent written and verbal communication skills
- Willingness to learn about cutting-edge technologies while cultivating expertise in investment management workflows and enterprise AI
- An aptitude for problem solving
- Ability to communicate effectively
- Serious interest in having fun at work
Bonus
Experience building products around retrieval-augmented generation (RAG), AI agents, MCP, or model orchestration frameworks
Experience with synthetic data generation and automated evaluation pipelines
Experience building internal developer platforms or ML infrastructure products
Experience in enterprise SaaS, developer platforms, or financial technology
About Ridgeline
Ridgeline is headquartered in Lake Tahoe, with offices in New York, Reno, the Bay Area, Dublin Ireland. Ridgeline is recognized by Fast Company as a “Best Workplace for Innovators,” by Frost & Sullivan as a “Technology Innovation Leader,” and by The Software Report as a “Top 100 Software Company.”
Ridgeline is proud to be a community-minded, discrimination-free equal opportunity workplace.
Ridgeline processes the information you submit in connection with your application in accordance with the Ridgeline Applicant Privacy Statement . Please review the Ridgeline Applicant Privacy Statement in full to understand our privacy practices and contact us with any questions.
Compensation and Benefits
- The typical starting salary range for new hires in this role is listed below. In select locations (including, the San Francisco Bay Area, CA, and the New York City Metro Area), an alternate range may apply as specified below.
- The typical starting salary range for this role is: $136,000-$170,000.
- The typical starting salary range for this role in the select locations listed above is: $149,500-$187,000.
- Final compensation amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amount listed above.
- As an employee at Ridgeline, you’ll have many opportunities for advancement in your career and can make a true impact on the product.
- In addition to the base salary, Ridgeline employees can participate in our Company Stock Plan subject to the applicable Stock Option Agreement. We also offer rich benefits that reflect the kind of organization we want to be: one in which our employees feel valued and are inspired to bring their best selves to work. These include unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans. Please check out our Careers page for a more comprehensive overview of our perks and benefits.
About Ridgeline
Private investment management software company serving asset and wealth managers through an AI-native cloud platform.
Visit company websiteJobs and hiring trendsApply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at Ridgeline
Principal Engineer, AI Platform
, USA
Are you a technical leader who thrives at architecting agentic AI systems and shipping them in production? Do you want to help define how autonomous, tool-using AI agents get built into a real, customer-facing product? I
Staff Frontend Engineer - Portfolio Management (Order Generation)
Reno, USA
Principal Engineer, AI Platform
, USA
Staff Frontend Engineer - Portfolio Management (Order Generation)
Reno, USA
Lead Data Migration Consultant
, USA
Senior Lead Solutions Consultant
, CAN
Solutions Consultant
, USA
Software Engineer, Custodian Data
San Ramon, USA
Sales Executive
, USA
Staff Release Engineer
San Ramon, USA