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Adaptive ML · 2 weeks ago

Business Operations - Systems & Automation

United States

Full-time

Remote

Mid Level

Adaptive ML is building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialize and operationalize large language models. The role focuses on designing and operating internal systems and lightweight applications to enhance efficiency and streamline workflows across the organization.

A/B TestingArtificial Intelligence (AI)Information TechnologyMachine Learning

H1B Sponsored

Responsibilities

Design, build, and operate internal systems and lightweight applications that remove execution friction and increase organizational leverage across how the company operates

Own and automate cross-functional execution workflows that span how the company operates from first customer interaction through delivery and ongoing engagement, focusing on breakdowns at handoffs, duplication of effort, or unclear ownership across sales, marketing, technical success, and operations

Work closely with sales, marketing, and technical success as inputs and users of systems, not as the sole focus, to remove friction across pre-sales, post-sales, and go-to-market execution and ensure workflows reflect how work actually happens

Design and instrument internal systems to surface decision-grade signals around cost, effort, adoption, effectiveness, and capacity — enabling the company to understand where time and resources are spent and where organizational leverage exists

Improve staffing efficiency and delivery predictability by increasing visibility into technical success and field deployment efforts (capacity, time allocation, bottlenecks), and by automating interfaces between teams rather than adding reporting or process overhead

Build internal and customer-facing mini-apps that turn repeated bespoke work across GTM and delivery into reusable primitives (e.g. TCO and cost calculators, qualification tools, rollout readiness checklists)

Automate knowledge ingestion and digestion across internal systems (Slack, docs, tools, marketing assets) to reduce repeated questions

Exercise strong judgment in sequencing by deciding deliberately what not to automate yet, balancing speed of execution, learning velocity, and long-term maintainability

Qualification

AutomationInternal tools developmentSystems thinkingSoftware engineeringData analysisWorkflow automation toolsComfort in ambiguityCuriosity about infrastructureClear communicationCollaboration