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BackOps is an AI-native company building AI-powered software for complex supply chain and logistics workflows used by large enterprises. The company is ~50 people, headquartered in San Francisco, and backed by Theory Ventures, Gradient, Construct Capital, and 10VC.
As Product Manager, you will work closely with customers, engineering, design, go-to-market teams, and company leadership to identify important problems, determine where AI can meaningfully improve workflows, translate product strategy into shippable solutions, and continuously improve those solutions based on evidence. You'll report to the Head of Product.
Key responsibilities include:
- Shape product strategy and priorities by defining and communicating the product vision, roadmap based on company goals, customer needs, market opportunities, and technical possibilities
- Build clear product rationale and communicate not just what is being prioritized, but why
- Bring stage-appropriate product judgment: knowing when directional evidence is sufficient, when to build lightweight solutions, and when investments need to be built for scale
- Determine where AI can genuinely improve customer workflows rather than simply adding AI functionality to existing processes
- Explore how AI systems should interact with users across automation, recommendations, decision support, exceptions, approvals, explanations, and human oversight
- Independently research emerging AI technologies, models, techniques, and product patterns to determine relevance
- Translate product strategy and customer problems into clear, shippable product components, partnering closely with engineering
- Break ambiguous initiatives into incremental releases that generate customer value and learning
- When appropriate, independently complete straightforward product, design, analytical, prototyping, or technical work
Required qualifications: 4+ years of product management experience, experience building B2B software products, strong experience designing products for non-developer business users performing complex workflows, excellent written and verbal communication, comfort working with data and quantitative analysis, curiosity about AI and ability to independently learn about rapidly evolving AI technologies.
Valued experience includes: building products for large enterprises, understanding enterprise buyers and purchasing processes, supply chain or logistics enterprise software experience, and experience with AI-powered products, agents, and LLM applications.
