The Role

We are seeking a highly technical and strategic Senior Product Manager with deep AI/ML expertise to lead development across our agentic data systems, synthetic data systems, evaluations, and data-acceleration initiatives. This role is ideal for someone with a core ML/AI product background, strong familiarity with model development workflows, and demonstrated success delivering product experiences that improve the speed, quality, and scalability of data operations. You will work closely with Research, Engineering, Data Operations, and Design to define product vision, roadmap, and execution plans for intelligent workflow systems that optimize data pipelines, improve task quality, and enable faster and more efficient delivery of AI-ready datasets.

This is a highly cross-functional, technically deep IC role with broad surface area and significant impact. You will lead initiatives spanning multiple teams, balancing near-term execution with long-term platform evolution.

What You’ll Do

• Own the product vision, strategy, and roadmap for the task and Expert Contributor Evaluations product supporting internal and external platform users.                                                                                                                                                                
• Identify bottlenecks and lead cross-team efforts to improve overall quality and customer acceptance rate.
• Lead Evaluation products and tools across research, engineering, operations, and forward deployed engineers to drive excellence in product quality.  
• Define, build, and set up continuous monitoring for performance metrics of Evaluations to improve their adaption, usage, and effectiveness.
• Own the strategy and execution of Expert Contributor Quality
• Build a recommendation system for optimal matching of ECs to tasks on the Snorkel Platform
• Work with cross-functional stakeholders to support enablement and adaptation initiatives of the Evaluations and Quality products 
• Balance short-term delivery with long-term platform investments to support future growth.
  
  

Minimum Qualifications

• 5–7 years of experience as a Product Manager, with ownership of complex, cross-functional product areas.
• Educational background in computer science or related engineering practice
• Strong technical literacy across ML models, Gen AI concepts, LLM-based products, Agentic designs, evaluation, labeling strategies, and quality frameworks.
• Proven ability to drive deeply technical roadmaps end-to-end, from concept to launch.
• Ability to write clear PRDs, partner on research experimentation frameworks, and drive measurable outcomes.
• Experience building internal or platform-level products with complex workflows and multi-stakeholder environments.
• Proven ability to own end-to-end product experiences across multiple user personas.
• Strong analytical and problem-solving skills, with a track record of metrics-driven decision making.
• Excellent collaboration skills and experience partnering closely with Engineering, Research, and Operations teams.
  
  

Preferred Qualifications

• 5-7 years of experience as a Product Manager, including 3+ years focused on ML/AI products, MLOps, or data systems products.
• Experience with agent-based systems, generative AI, reinforcement learning, self-improving systems, or automated workforce/task routing platforms.
• Familiarity with LLMs, LLM Evaluations, human-in-the-loop systems, and synthetic data generation.
• Background in Machine Learning, Data Engineering, or related technical field
• Demonstrated ability to lead large, cross-team initiatives without formal authority.

The Role

We are seeking a Senior Product Manager to own the core platform that powers all data operations across our ecosystem. This platform enables experts to efficiently produce high-quality data, supports internal operations at scale, and provides reliable APIs and SDKs for customers.

In this role, you will own the end-to-end experience of our data platform — from expert tooling and workflow orchestration, to identity and access management, data ingestion, versioning, and delivery. You will define platform strategy, set the roadmap, and partner closely with Engineering, Research, and Operations to build scalable, reliable systems that support high-throughput, high-quality data production.

This is a highly cross-functional, technically deep IC role with broad surface area and significant impact. You will lead initiatives spanning multiple teams, balancing near-term execution with long-term platform evolution.

What You’ll Do

• Own the product vision, strategy, and roadmap for the core platform supporting expert contributors, internal operations, and customers.
  
  
• Define and deliver expert tooling, workflow orchestration systems, and internal ops controls that improve productivity, quality, and scalability.
  
  
• Lead platform initiatives across data ingestion, storage, versioning, permissions/IAM, and system reliability.
  
  
• Partner deeply with Engineering to make informed tradeoffs across APIs, data models, system architecture, and platform abstractions.
  
  
• Collaborate with Research and Operations to ensure platform capabilities support evolving RLHF methodologies and operational needs.
  
  
• Build and evolve APIs and SDKs that enable customers to seamlessly access the platform capabilities
  
  
• Drive metrics across throughput, cycle time, quality, cost efficiency, platform adoption, and reliability.
  
  
• Identify platform bottlenecks and lead cross-team efforts to improve performance, scalability, and experts experience.
  
  
• Balance short-term delivery with long-term platform investments to support future growth.

Minimum Qualifications

• 5–7 years of experience as a Product Manager, with ownership of complex, cross-functional product areas.
  
  
• Experience building internal tools, ops platforms, or data platforms at scale.
  
  
• Strong technical fluency, with comfort discussing APIs, data models, system design, and infrastructure tradeoffs with engineering teams.
  
  
• Proven ability to own end-to-end product experiences across multiple user personas.
  
  
• Strong analytical and problem-solving skills, with a track record of metrics-driven decision making.
  
  
• Excellent collaboration skills and experience partnering closely with Engineering, Research, and Operations teams.

Preferred Qualifications

• Experience building platforms that support human-in-the-loop or data production workflows.
  
  
• Background in data infrastructure, ML platforms, or enterprise SaaS products.
  
  
• Experience designing APIs or developer-facing platforms.
  
  
• Demonstrated ability to lead large, cross-team initiatives without formal authority.

The Role

This role is for a designer who gets better by building. You use real work to learn, refine, and raise the bar.

You build working prototypes with AI tools and code. Your prototypes connect to real systems and help engineering move faster with higher quality.

You understand how AI systems behave. You have worked with prompting, evaluation, and feedback loops. You can look at an output and explain what went wrong, whether it comes from a prompt, the data, or the system.

You stay close to the field. You follow new work in AI and want to work alongside researchers at the frontier.

You think about how AI changes how teams work. You use these tools to strengthen the team, not just speed up your own work.

You shape how design influences system behavior. You define how users give feedback, how teams measure quality, and how the system handles edge cases.

You spend time with users to find real problems. You watch where workflows break, slow down, or produce poor results. You turn those observations into testable flows that improve outcomes.

You have worked on technical products or two sided marketplaces. You understand how contributors, ops, and engineers depend on each other. You design for the full system.

You care about craft. You push the work until it feels clear, consistent, and ready for real use.

What You Bring

• Build prototypes using AI tools
• Use tools like Claude or Cursor to test and refine ideas
• Understand prompting, evaluation, and model quality in practice
• Know how to design human in the loop systems and feedback flows
• Follow AI research and enjoy working with highly technical teams
• Have worked with messy data, edge cases, and real workflows
• Bring strong visual and interaction design craft
• Work closely with engineers and help move work into production

Requirements

• 6+ years in product design
• Experience with AI, data, or complex systems
• Portfolio with shipped work or working prototypes

The Role

We are seeking an experienced product manager to own our expert contributor product ecosystem. The ideal candidate has led product initiatives within fast-moving, real-world marketplaces where supply and demand must be continuously balanced, operational efficiency is critical, and user experience directly impacts growth. They understand how to build and optimize multi-sided marketplaces that maintain healthy economics, drive sustained engagement and retention, and deliver reliable, high-quality outcomes at scale.

In this role, you will define product strategy, build features, and run experiments that optimize marketplace outcomes, driving matching efficiency, fulfillment quality, conversion, retention, and unit economics. You will partner closely with Operations, Research, Engineering, Analytics, and GTM teams to refine marketplace dynamics across supply, demand, pricing, incentives, and quality.

Minimum Qualifications

• 7+ years of experience as a Product Manager
• Experience building products for the gig economy, focused on supply-side onboarding, lifecycle management, user experience, quality, and other aspects 
• Strong SaaS UI/UX design sense and product-building experience
• Experience working closely with enterprise customers and channel partners in the enterprise software industry
• Demonstrated ability to hire, develop, and lead world-class product teams from the ground up
• Educational background in computer science or related engineering practice

Preferred Qualifications

• 8+ years of product management experience, including 4+ years working on marketplace, logistics, supply/demand, or growth systems.
• Experience from a marketplace or platform-based organization
• Strong analytical and problem-solving skills, with experience in metrics-driven decision-making, experimentation, and portfolio tradeoffs.
• Demonstrated ability to partner closely with data science and engineering to deliver scalable, measurable outcomes.
• Deep intuition and rigor around user behavior, incentives, and marketplace mechanics.