Product Manager Level 2

Job Description The Product Manager is responsible for the product planning and execution throughout the Product Lifecycle, including gathering and prioritizing product and customer requirements, defining the product vision, and ensuring revenue and customer satisfaction goals are met. The Product Managers job also includes ensuring that the product supports the companys overall strategy and goals.Skills:Must'HaveProduct strategy & prioritizationData platform fundamentalsML literacyStakeholder communicationDesigning for expert users without alienating new onesClear documentation and onboarding flowsUnderstanding user workflowsnot just APIsStrong DifferentiatorsMLOps understandingExperimentation and metrics fluencyResponsible AI leadershipPlatform UX thinkingStakeholder ManagementAlign business leaders, engineers, data scientists, legal/compliance, and opsTranslate technical constraints into business'relevant languageManage expectations around ML uncertainty and iterationData Concepts You Should Be Fluent InData types: structured, semi'structured, unstructuredData pipelines (batch vs. streaming)Data quality dimensions: accuracy, completeness, timelinessData lineage and observabilityMetadata, schemas, and versioningPlatform ThinkingAPIs, SDKs, and self'service capabilitiesMulti'tenant vs. single'tenant designPerformance, scalability, and cost tradeoffsInternal vs. external (customer'facing) platformsMachine Learning Fundamentals Every PM Should KnowSupervised vs. unsupervised learningTraining vs. inferenceFeatures, labels, and training dataModel evaluation metrics (precision, recall, AUC, RMSE, etc.)Overfitting vs. generalizationML Product RealitiesML outputs are probabilistic, not deterministicModel performance degrades over time (data drift, concept drift)Improving models often requires better data, not better algorithmsML development is experimental and iterativeAreas that must be understoodModel training pipelinesModel deployment patterns (batch, real'time, edge)Model monitoring and retrainingVersioning of models and dataRollbacks and experimentation (A/B tests, canary releases)Metrics, Experimentation & Decision'MakingMetrics Youll Need to BalanceBusiness metrics (revenue, conversion, cost savings)Model metrics (accuracy, precision/recall)Data metrics (coverage, freshness, null rates)Platform metrics (latency, uptime, adoption)Experimentation SkillsDesigning experiments when outcomes arent binaryInterpreting noisy or delayed signalsKnowing when not to trust metrics blindlyKey ResponsibilitiesManage all technical aspects of product through product lifecycleWork directly and indirectly with business stakeholders, vendors and third parties to ensure execution of deliverablesCreate, maintain and communicate product catalog and technology roadmaps, including near-term delivery, to engage stakeholders across the organizationIdentify, measure and improve key product catalog metrics to enhance the customer experience, and create a compelling, relevant product vision using web metrics, customer insights, feedback, research and internal operational metricsElicit, define and analyze medium to complex requirements in various formats ensuring they are testable, measurable and traceableSet criteria for minimum viable product to increase the speed/frequency with which enhancements and new capabilities are deliveredLead the appropriate teams to refine, prioritize and manage requirements using various tools (e.g., templates, team backlogs, requirements management or agile task management applications)Lead requirement walk-throughs with key stakeholders using various methods (e.g., team demos, workshops, sprint planning and backlog refinement sessions)Identify and estimate anticipated work efforts based on priority using requirement work plans, program increment (PI) planning, and sprint planningDefine and resolve dependencies, issues and risks and identify impacted areas through team collaborationBreak down a medium to complex vision into smaller projects, initiatives or featuresNote to VendorsThis role supports an eCommerce fulfillment environment that manages pickup, third-party delivery (Instacart and DoorDash), and operations. The team is building a platform focused on order submission, selection, and routing, with an emphasis on operational reporting, process optimization, and demand forecasting.Top skills that they must have:Product strategy & prioritizationData platform fundamentalsML literacyStakeholder communicationDesigning for expert users without alienating new onesClear documentation and onboarding flowsUnderstanding user workflowsnot just APIsPlease go off market rateThe contractor will need to be onsite 5 days a weekThis is a contract role onlyInterviews: with manager and panel for 1st roundprescreening 5 prescreening questions and a game