Adaptive ML develops a platform enabling companies to test, serve, monitor, and perpetually iterate on their large language models by leveraging user interactions and reinforcement learning.

Adaptive ML

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account-manager

Adaptive ML is a company that specializes in adaptive engine technology, allowing businesses to tune and deploy open models using reinforcement learning for high-performance AI applications. They focus on enhancing generative AI by enabling fast inference, feedback collection, safety guardrails, automated A/B testing, and private cloud deployment using their Adaptive Engine. The company aims to optimize AI models to directly drive business outcomes while keeping data secure within the client's cloud. Adaptive ML is backed by significant investment and supports continuous monitoring and improvement of AI models to ensure quality and performance on specific use cases. They offer solutions that require minimal RL knowledge, making it accessible for companies to implement advanced AI capabilities. Their technology emphasizes privacy, control, and optimization of AI models for enterprise uses.

• Own the full partnerships lifecycle, from target identification and outreach through negotiation, launch, and ongoing GTM execution.
• Rapidly expand Adaptive ML’s strategic partner portfolio, building on a handful of existing relationships to establish a scaled partnerships motion.
• Develop and execute a partnerships strategy focused on consultancies and data platforms, including segmentation, prioritization, and partner-specific plans.
• Structure and close complex, multi-million dollar partnership agreements, balancing commercial terms, technical requirements, and long-term strategic value.
• Partner closely with Sales Engineers to align technical workflows, integration expectations, and partner enablement for enterprise GenAI deployments.
• Build joint GTM plans with partners and internal sales teams, including co-selling plays, training, marketing collaboration, and account mapping.
• Track partnership health and outcomes, including pipeline contribution, active co-sell engagement, and post-launch expansion opportunities.
• Operate effectively in a fast-moving Series A environment, bringing strong ownership, pace, and pragmatic decision-making.

Partnerships Manager

Sales Partnerships Manager at Adaptive ML expanding strategic partnerships in GenAI for enterprise outcomes. Collaborating with sales teams and defining joint value propositions to drive revenue.

revenue-operations

• Own and administer our CRM (HubSpot), ensuring data integrity, consistent pipeline hygiene, and reliable reporting across the entire revenue organization;
• Design and maintain dashboards, reports, and analytics that give sales leadership clear visibility into pipeline health, deal velocity, conversion rates, and team performance;
• Build and refine the forecasting process, working with sales leadership to deliver accurate and actionable revenue forecasts for the executive team and board;
• Define and document sales processes end-to-end—from lead routing and qualification criteria to opportunity stages, handoffs, and close workflows—ensuring consistency and accountability;
• Build AI-powered automations and internal tooling to streamline sales workflows, reduce manual effort, and increase team productivity—examples include automated lead scoring, deal summarization, pipeline alerts, and reporting workflows;
• Manage territory and account segmentation, including coverage models, book-of-business assignments, and rules of engagement across BDR, AE, and SE teams;
• Administer variable compensation plans, including quota setting support, commission calculations, and attainment tracking;
• Evaluate, implement, and manage the sales tech stack (e.g., HubSpot, Apollo, Sales Navigator, Fireflies, enrichment tools), ensuring tools are adopted effectively and integrated cleanly;
• Partner with Marketing on lead management, attribution modeling, and campaign-to-pipeline analysis to optimize spend and source mix;
• Support GTM planning cycles, including annual and quarterly planning, capacity modeling, and headcount scenarios;
• Identify bottlenecks and inefficiencies in the revenue cycle and drive process improvements that accelerate deal velocity and improve win rates;
• Serve as the single source of truth for GTM data and metrics, establishing definitions and standards that the entire organization can trust.

RevOps Manager

Revenue Operations Manager at AI startup optimizing sales processes and analytics to enhance performance. Collaborating with sales and GTM leadership to shape revenue strategies and execution.

backend-engineer

• Build the foundational technology powering Adaptive ML, with a relentless focus on high-performance software engineering;
• Write production-grade Rust, combining correctness, performance, and robustness across large-scale distributed systems;
• Identify and resolve complex bugs at the intersection of software and hardware correctness in distributed environments;
• Contribute to the product roadmap by identifying promising trends and surfacing high-impact technical findings;
• Engage with research developments in generative AI and reinforcement learning to inform engineering decisions;
• Report clearly on your work to a distributed, collaborative team with a strong bias for asynchronous written communication;
• Partner with teammates across engineering, research, and product to deliver robust, scalable solutions.

Performance Engineer, Rust

Performance Engineer developing foundational technology for an AI startup focused on deployment of LLMs in production. Combines high-performance software engineering with scalable infrastructure responsibilities.

• Design, iterate, and implement the backend of our products;
• Develop high-quality Rust software, with elevated standards of performance and robustness;
• Construct systematic processes for product development, helping remove unknowns in our strategy;
• Contribute to our product roadmap aligning the needs of our Commercial Team with the latest advancements from our Technical Team;
• Report clearly on your work to a distributed collaborative team, with a bias for asynchronous written communication.

Backend Engineer

Backend Engineer developing robust AI solutions for generative experiences. Collaborate with technical staff and prioritize product quality in an innovative environment.

ai-engineer

• Embed directly with our customers, helping them maximize the value of their Adaptive Engine deployment;
• Experiment with pipelines to personalize models at scale, leveraging synthetic data and production feedback;
• Ensure customer success, owning problems end-to-end from ideation to deployment, validation, and production;
• Work closely with our research staff, productionizing the latest frontier research initiatives;
• Contribute to our product roadmap, identifying promising trends and customer needs;
• Report clearly on your work to a distributed collaborative team, with a bias for asynchronous written communication.

Forward Deployed AI Engineer

Forward Deployed AI Engineer assisting enterprises with Adaptive Engine deployments for generative AI. Collaborating with technical teams to enhance customer success and model performance.

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

Business Operations role focused on systems and automation at Adaptive ML in New York / Paris. Collaborating on workflows and tooling to enhance business processes.

Adaptive ML

About the company

Open jobs

6 jobs found

Partnerships Manager

Adaptive ML

RevOps Manager

Adaptive ML

Performance Engineer, Rust

Adaptive ML

Backend Engineer

Adaptive ML

Forward Deployed AI Engineer

Adaptive ML

Business Operations – Systems & Automation

Adaptive ML