AdTechTalent
Product63 days agoRemote

Pixalate

Principal Product Manager - AI Research Lab

AIMLproduct managementagentic AIRAG systemsmulti-agent frameworksfraud detectionB2B SaaSworkflow automationLLMscybersecuritymultimodal AIVertex AIAzure AIagilescrum

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Mid-level

Years experience

3-5

Location

Singapore, Singapore

Full job description

Pixalate seeks a mid-level full-time Principle Product Manager for its AI Research Lab, focusing on AI-powered fraud detection and prevention. The role is remote but requires candidates to reside in Singapore with valid work authorization. Responsibilities include owning product roadmaps, managing backlogs, defining requirements for agentic AI systems, leading sprint planning, researching AI technologies, analyzing market trends, collaborating with AI engineers, defining success metrics, and ensuring product performance and scalability. Candidates should have 2-5 years of product management experience with at least 2 years in AI/ML products, experience shipping AI features using LLMs/ML models, familiarity with B2B SaaS and enterprise workflows, and strong technical and product management skills. Preferred qualifications include a PhD, experience in cybersecurity, ad tech, fraud detection, multimodal AI, and low-code AI platforms. Benefits include monthly internet reimbursement, casual remote work environment, hybrid flexible hours, advancement opportunities, team events, and competitive compensation.

What you'll do

  • Own product roadmaps for AI-powered tools
  • Manage product backlogs, prioritizing features that balance AI innovation with user needs
  • Define requirements for agentic AI systems that automate complex workflows
  • Lead sprint planning and coordinate releases with engineering and AI research teams
  • Identify opportunities where agentic AI can transform internal processes
  • Research emerging AI technologies (RAG systems, multi-agent frameworks) for product integration
  • Analyze market trends to position AI capabilities against competitors
  • Partner with internal teams to identify automation opportunities and measure efficiency gains
  • Collaborate with AI engineers on agentic system architectures
  • Define success metrics for both model performance and business impact
  • Ensure AI products meet accuracy, latency, and scalability requirements
  • Manage the iterative improvement of AI models based on real-world performance

Requirements

  • 2-5 years of product management experience with 2+ years in AI/ML products
  • Proven track record shipping AI features from concept to production with well known LLMs/ML Models
  • Experience with B2B SaaS products and understanding of enterprise workflows
  • Success working with technical teams (data scientists, ML engineers)
  • Strong understanding of AI/ML concepts: LLMs, embeddings, RAG systems
  • Familiarity with agentic AI frameworks and multi-agent orchestration
  • Ability to evaluate AI model performance and make data-driven decisions
  • Experience with APIs, integrations, and workflow automation tools
  • Excellence in writing PRDs, user stories, and technical specifications
  • Strong analytical skills with experience in A/B testing and metrics analysis
  • Proficiency with product management tools (Jira, Confluence, analytics platforms)
  • Agile/Scrum experience with distributed teams
  • PhD preferred
  • Experience in cybersecurity, ad tech, or fraud detection domains
  • Background building internal tools or automation platforms
  • Understanding of multimodal AI (text, image, video analysis)
  • Technical degree or certifications in AI/ML
  • Experience with low-code AI platforms (Vertex AI, Azure AI)

Tech stack

AIMLLLMsembeddingsRAG systemsagentic AI frameworksmulti-agent orchestrationAPIsworkflow automation toolsJiraConfluenceanalytics platformsVertex AIAzure AI

Benefits

Monthly internet reimbursementCasual, remote work environmentHybrid, flexible hoursOpportunity for advancementFun annual team eventsBeing part of a high-performing teamExtremely competitive compensation

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