Top Tech Jobs & Startup Jobs

Lead architecture and development of e-commerce fulfillment and order management systems, drive AI-powered engineering productivity, mentor a small developer team, implement APIs, observability, and agentic quality gates, and collaborate cross-functionally to reduce technical debt and improve platform scalability and reliability.

Design, build, and operate production-grade AI automations and integrations across marketing, operations, creative, and logistics. Develop AI-agent architectures and MCP servers, connect APIs and platforms, write Python/JavaScript, evaluate vendor tools, ensure security and reliability, and drive adoption via training and documentation.

Ensure reliability, performance, and scalability of Backcountry's multi-cloud platform by improving resiliency, automating toil, building observability and SLI/SLO instrumentation, participating in on-call rotations, and partnering with engineering teams to design and ship fixes across infrastructure and application code.

Design and deploy closed-loop decision systems that estimate causal effects, quantify uncertainty, and optimize actions under constraints. Develop policy learning, bandits/decision-making, counterfactual evaluation, and production ML infrastructure to drive measurable business lift and safe automated decisions.

Build production decision systems that estimate causal effects and uncertainty, learn from interventions, optimize constrained policies (pricing, inventory, promotions), evaluate counterfactuals and challengers, and deploy safe, automated ML-driven business decisions to generate measurable economic lift.

Lead the design and implementation of an AI-native HR function, focusing on performance management, talent development, and workforce planning using intelligent systems.

The Head of People Operations will design and lead an AI-driven HR function, developing systems for workforce planning, performance management, and talent development while fostering a high-performing team.

Partner with the CEO and CTO to turn discussions into durable decisions, run executive cadence, validate analyses (including AI-assisted work), own priority cross-functional initiatives end-to-end, manage risk intake, and ensure commitments are executed with clear owners and measurable outcomes.

Lead the development of production-grade machine learning solutions, collaborating with cross-functional teams to solve complex business problems and deliver measurable impact.

Manage day-to-day pricing operations and reporting across multiple banners: pull data from the warehouse, run competitive audits, execute price changes, track MAP/MSRP compliance, build dashboards, use AI to automate workflows, and recommend pricing actions to improve sell-through, margin, and working capital.