BackOps-AI

Compensation

Full Description

About BackOps AI BackOps AI is transforming supply chain operations with agentic AI solutions that automate complex workflows, freeing operations teams to focus on what matters most. Headquartered in the San Francisco Bay Area with flexible remote-friendly options, we foster a culture of innovation, ownership, and measurable impact. Role Overview As Senior Technical Product Manager, you will drive transforming manufacturing and logistics operations through AI agents that manage real operations across departments and industries within the supply chain. Leveraging AI agents to improve how companies manage authentic customer interactions, ensuring operational goals are met across omnichannel and computer-use technologies. This is a high-impact, dual-function role requiring strong product management skills to build a successful early-stage product, along with the technical depth to deliver a state-of-the-art, AI-native platform. You will translate our business vision into a scalable, trusted AI experience. What You'll Do Own the full product lifecycle: From ideation and user research to roadmapping, prioritization, and launch. Customer & Market Insight: Conduct continuous user interviews, A/B tests, and competitive analysis to identify critical user needs and business opportunities. Work closely with customers to ensure successful launch of the product. Define Success: Establish and rigorously track product North Star metrics, business KPIs, and adoption funnels. GTM & Sales Enablement: Collaborate closely with engineering, design, and the founders to define features, and prepare sales/marketing materials for initial pilots and full launch. Prioritization: Manage the backlog, making crucial trade-offs between speed, quality, technical debt, and new feature development in a resource-constrained startup environment. AI System Product Ownership: Define the product requirements for the underlying AI platform, including core APIs, data pipelines, and model serving infrastructure. Technical Trade-offs: Drive build vs. buy decisions for foundational technologies, focusing on cost-per-token efficiency, latency, and scalability. AI Evals & Trust: Design and implement the framework for model evaluation (Evals), monitoring, and governance. Define and track metrics for AI quality and model safety/bias detection. User Trust & Experience: Translate complex model limitations into intuitive, trustworthy user experiences and UI components. Communication: Act as the primary technical bridge between the AI research team, core engineering, and the business stakeholders, translating cutting-edge model research into actionable product features and business value propositions. What We're Looking For Experience: 5+ years of experience in product management, with a track record of shipping complex B2B or B2C software products. Ability to build scalable, reusable "building blocks" (APIs, data pipelines) that support multiple internal or external products Domain Expertise:Knowledge of supply chain pillars like, inventory optimization, and claims management Technical Fluency: A strong understanding of modern machine learning and AI concepts. Experience with or deep exposure to Generative AI is highly desirable. A technical background (e.g., CS degree, previous engineering/data science role) is a significant plus. Portfolio evidence product design (UI/UX designs, successful launch of product and AI features). Startup DNA: Proven ability to thrive in a fast-paced, ambiguous startup environment, comfortable wearing multiple hats and making high-stakes decisions with imperfect information. Communication: Exceptional written and verbal communication skills; ability to clearly articulate technical trade-offs to non-technical audiences and product vision to engineers. Data Driven: Proficient in using data analysis tools (SQL, product analytics platforms) to inform product decisions and measure impact. Bonus : Experience with Agentic workflows What We Offer Opportunity to work at a high-growth AI startup, backed by top investors. Equity & Ownership: Generous equity packages so you grow alongside the company and share in our upside Impact & Visibility: Direct access to co-founders and the ability to see your work drive real business results Work With the Best: Join a world-class team of engineers and builders Flexible Work: Hybrid model with core Bay Area presence and remote flexibility