Jobs at BackOps AI

Manage a portfolio of customers from onboarding through renewal and expansion; run strategic check-ins; drive adoption and measurable value; translate customer feedback into product requests; identify expansion opportunities; keep stakeholders aligned; act as customers' internal advocate.

Own the full technical lifecycle for customers: discovery, demos, POCs, scoping, implementation, and handoff to Customer Success. Translate ambiguous workflows into deployable integrations, configure and deploy solutions, manage project timelines and stakeholders, gatekeep Forward Deployed Engineering, and feed product/engineering with recurring customer patterns.

Lead architecture and implementation of scalable full-stack systems powering agentic AI for supply chain workflows. Own POCs, build React front ends and Node.js/Python back ends, collaborate with AI researchers and product, ensure secure code, lead incident response, and manage customer data retention and deletion.

Lead and scale the customer success function for an enterprise B2B SaaS product. Own net revenue retention, gross retention, expansion, and forecasting. Manage and coach CSMs, personally handle strategic accounts, define playbooks, health scoring, onboarding, and handoffs with Sales. Drive product feedback into roadmap and establish tooling, data, and processes to scale the function.

Own full sales cycle for large strategic accounts, develop outbound/inbound pipeline, close mid-market and enterprise deals, sell to Directors/VPs/C-suite, lead discovery on operational inefficiencies, partner with Solutions/Engineering for technical validation, negotiate MSAs and commercial terms, forecast pipeline, and influence GTM messaging and vertical strategy.

Manage a portfolio of customers from onboarding through renewal and expansion. Run strategic check-ins, translate customer goals into product requests, drive adoption and measurable value, identify expansion opportunities, and align stakeholders across product and engineering to ensure customer outcomes.

Partner with customers to design, deploy, and maintain adaptive AI agents and production applications that integrate with customer infrastructure. Translate operational workflows into system improvements, build demos/prototypes, debug live deployments, and ensure reliability, safety, and performance while maintaining long-term customer relationships.

Design, build, and maintain scalable UI, API, and end-to-end test automation frameworks. Create and run automated regression, functional, performance, and API tests. Integrate tests into CI/CD, analyze failures, collaborate with developers to improve testability, and drive quality improvements across the SDLC.

Build and maintain scalable UI, API, and end-to-end test automation frameworks; create and execute automated regression, functional, performance, and API tests; integrate tests into CI/CD; improve reliability and diagnostics; standardize automation patterns; participate in code reviews and quality initiatives; work cross-functionally to enhance test coverage and strategy.

Own strategic deployment and adoption of BackOps for large enterprise customers: diagnose operational bottlenecks, design AI-driven workflow redesigns, build multi-phase deployment roadmaps, lead change management and training, partner on integration and data governance, define adoption KPIs, and drive renewal and expansion.