Principal Product Manager - AI Research Lab
Pixalate, Inc. - Mc Lean, VA
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Principle Product Manager - AI Research Lab, MS/PhD Computer Science (reqd)Employment Type: Full-TimeLocation: Remote, SingaporeLevel: Mid to SeniorPixalate seeks a Senior Product Manager to drive our AI-powered fraud detection/prevention platform and revolutionize how our sales, customer success, and operations teams work. Partner with PhD-level AI engineers to ship agentic AI systems that protect millions of users while making our teams 10x more efficient.About the RoleJoin our innovative AI Research team. In this role, you'll translate cutting-edge research in agentic AI and multimodal analysis into products that both catch fraudsters and transform internal workflows. Ship real impact in weeks, not years.Key ResponsibilitiesProduct Execution & DeliveryOwn product roadmaps for AI-powered toolsManage product backlogs, prioritizing features that balance AI innovation with user needsDefine requirements for agentic AI systems that automate complex workflowsLead sprint planning and coordinate releases with engineering and AI research teamsAI Transformation & Market ResearchIdentify opportunities where agentic AI can transform internal processesResearch emerging AI technologies (RAG systems, multi-agent frameworks) for product integrationAnalyze market trends to position our AI capabilities against competitorsPartner with internal teams to identify automation opportunities and measure efficiency gainsTechnical Product ManagementCollaborate with AI engineers on agentic system architecturesDefine success metrics for both model performance and business impactEnsure AI products meet accuracy, latency, and scalability requirementsManage the iterative improvement of AI models based on real-world performanceBasic QualificationsRelevant Experience2-5 years of product management with 2+ years in AI/ML productsProven track record shipping AI features from concept to production with well known LLMs/ML ModelsExperience with B2B SaaS products and understanding of enterprise workflowsSuccess working with technical teams (data scientists, ML engineers)Technical SkillsStrong understanding of AI/ML concepts: LLMs, embeddings, RAG systemsFamiliarity with agentic AI frameworks and multi-agent orchestrationAbility to evaluate AI model performance and make data-driven decisionsExperience with APIs, integrations, and workflow automation toolsProduct SkillsExcellence in writing PRDs, user stories, and technical specificationsStrong analytical skills with experience in A/B testing and metrics analysisProficiency with product management tools (Jira, Confluence, analytics platforms)Agile/Scrum experience with distributed teamsPreferred QualificationsMSc or Phd PreferredExperience in cybersecurity, ad tech, or fraud detection domainsBackground building internal tools or automation platformsUnderstanding of multimodal AI (text, image, video analysis)Technical degree or certifications in AI/MLExperience with low-code AI platforms (Vertex AI, Azure AI)BenefitsWe focus on doing things differently and challenge each other to be the best we can be.Monthly internet reimbursementCasual, remote work environmentHybrid, flexible hoursOpportunity for advancementFun annual team eventsBeing part of a high-performing team that wants to win and have fun doing itExtremely competitive compensationWe're particularly interested in candidates who can demonstrate both theoretical depth and practical implementation skills. Show us how your research can transform the landscape of online trust and safety.Pixalate is an online trust and safety platform that protects businesses, consumers and children from deceptive, fraudulent and non-compliant mobile, CTV apps and websites. We're seeking a PhD-level AI Engineer to lead cutting-edge research in agentic AI systems, multimodal analysis, and advanced reasoning architectures that will directly impact millions of users worldwide.Our software and data have been used to unearth multiple high profile criminal and illegal surveillance cases including:Gizmodo:
Created: 2025-10-24