Adaptive ML

Business Operations

• Design, build, and operate internal systems and lightweight applications that remove execution friction and increase organizational leverage across how the company operates.
• Contribute as an internal Operating System architect, shaping the systems, workflows, and signals that connect business, technical, and people operations into a coherent, scalable way of running the company — without adding process overhead.
• Own and automate cross-functional execution workflows that span how the company operates from first customer interaction through delivery and ongoing engagement.
• Work closely with sales, marketing, and technical success as inputs and users of systems to remove friction across pre-sales, post-sales, and go-to-market execution.
• Design and instrument internal systems to surface decision-grade signals around cost, effort, adoption, effectiveness, and capacity.
• Improve staffing efficiency and delivery predictability by increasing visibility into technical success and field deployment efforts.
• Build internal and customer-facing mini-apps that turn repeated bespoke work across GTM and delivery into reusable primitives (e.g. calculators, qualification tools, 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.

Business Operations – Systems & Automation

AI Engineer

• Partner with sales to engage with prospects, uncovering business challenges and mapping them to Adaptive ML solutions;
• Design and deliver compelling technical demos, tailored to specific customer use cases;
• Lead and manage proof-of-concepts (POCs) and pilots, ensuring technical success and clear business outcomes;
• Build prototype pipelines and fine-tuned LLMs using Adaptive Engine to showcase production-ready solutions;
• Translate technical requirements into custom proposals, suggested architectures, and recommendations for customer deployments;
• Collaborate with research and product teams to influence roadmap priorities based on customer feedback;
• Represent Adaptive ML at conferences, webinars, and industry events with technical authority;
• This is an in-person role based in our Toronto or New York offices.

Business Operations – Systems & Automation

AI Engineer, Pre-Sales