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Senior Product Manager - AI and ML Platform

2 hours, 39 minutes ago
United States
Full-time
Senior
Product Manager
Artificial Intelligence and Machine Learning
AWS Generative AI LLM Machine Learning Python SageMaker
Apply Now
SurveyMonkey

SurveyMonkey

SurveyMonkey provides a cloud-based platform that enables users to easily create surveys and forms for gathering feedback, conducting market research, and managing event registrations, leveraging AI and a wide array of templates to facilitate informed ...

Professional Services
1K-5K
Founded 1999
$1150M raised
View All Jobs 17

Description

  • Partner with product leadership to define AI and agentic capabilities that power the product.
  • Own the roadmap for core AI platform components, including orchestration layers, tool and action frameworks, context management, and evaluation pipelines.
  • Work closely with AI/ML, platform engineering, design, and data science teams to ship scalable capabilities that integrate LLMs, internal APIs, and product workflows.
  • Establish evaluation frameworks and success metrics for AI and agentic capabilities.
  • Define guardrails, reliability standards, and safe execution mechanisms so AI operates predictably and securely within the SurveyMonkey ecosystem.
  • Drive cross-functional alignment across engineering, design, data, GTM, and leadership to launch new AI capabilities at scale.
  • Translate technical constraints into product decisions and product needs into technical execution in partnership with engineering and ML teams.

Requirements

  • 5+ years of product management experience building and launching SaaS products.
  • 2+ years of experience launching AI-powered products involving generative AI and conversational interfaces.
  • 3+ years defining ML platform capabilities, including model development, integration, evaluation pipelines, data feedback loops, and platform APIs.
  • Strong understanding of AI frameworks and architectures, with deep knowledge of evals and context management.
  • Experience writing lightweight code to prototype AI capabilities.
  • Demonstrated experience building 0→1 products or greenfield capabilities and driving initiatives from concept to launch.
  • Experience defining product metrics and success frameworks, including adoption, engagement, task success, model quality, and business impact.
  • Ability to work deeply with engineering and ML teams.
  • Experience across both consumer and enterprise SaaS products is a plus.
  • Past experience leveraging OpenAI for enterprise and AWS technologies such as AWS Bedrock and SageMaker is a plus.
  • Curiosity and enthusiasm for staying current on rapidly evolving AI technologies, tools, and frameworks is a plus.

Benefits

  • Base salary range of $147,900 to $191,400 per year, depending on geographic market and other factors.
  • Bonuses and commissions may be offered as part of the total compensation package.
  • Competitive benefits package including medical, dental, vision, life, and disability insurance.
  • 401(k) retirement plan.
  • Flexible spending account and health savings account options.
  • Paid holidays and paid time off.
  • Employee assistance program.
  • Remote role with flexible, hybrid-style collaboration and encouragement to attend company events in person throughout the year.
  • Access to the CHOICE Fund and other company programs designed to support employees in work and life.

Interested in this position?

Apply directly on the company website

Apply Now

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