<div class="content-intro"><p><strong style="font-size: 12pt;">About Arkestro</strong></p> <p>Arkestro's Predictive Procurement Platform applies AI, game theory, and behavioral science to enterprise negotiations. It moves teams away from reactive supplier bidding toward data-driven offers that reduce friction and help both buyers and suppliers reach better outcomes faster.</p> <p>Arkestro helps procurement teams influence more enterprise spend and uncover savings that traditional sourcing approaches often leave behind by applying predictive intelligence to how sourcing events are designed and executed.</p> <p>We’re a hyper-growth company looking for people who take ownership and are comfortable working through complexity. This is a tremendous opportunity if you want to do meaningful work and help shape how large enterprises run procurement… Arkestro is a place where you can have a big impact. See Arkestro in action at <a href="http://arkestro.com">arkestro.com</a>.</p></div><div class="section page-centered" data-qa="job-description"> <h3>About this Role</h3> <p>As a Lead AI/ML Engineer, you'll own significant pieces of how Arkestro builds, ships, and operates AI-powered functionality in production. This is a startup-scale role: you'll work across more of the path from idea to production than a comparable role would at a larger company, and you should be energized by that breadth rather than looking to specialize narrowly. You'll be a driving voice in shaping our AI/ML architecture, working closely with our existing ML engineer and the broader Data and Product Engineering teams.</p> <h3>Responsibilities</h3> <ul> <li>Design, build, and productionize machine learning and agentic AI functionality yourself </li> <li>Partner with product engineering squads to embed AI and agentic capabilities directly into Arkestro's product.</li> <li>Contribute to architecture decisions for how Arkestro builds AI products and systems, including our still-evolving AI/ML stack.</li> <li>Contribute to dbt and data pipeline work when it's needed for the systems you build </li> <li>Own evals and ground truth for the projects you lead, in partnership with PMs and stakeholders. Work with our existing ML engineer to build and curate the human-generated evals that feed our in-house automated eval system.</li> <li>Build and maintain the tooling that gets AI/ML systems into production reliably, treating latency, cost, and error handling as first-class concerns.</li> <li>Champion safety, reliability, and responsible-AI practices in the systems you build: flag risk, build in guardrails, and help define what "production-ready" means for AI features at Arkestro.</li> <li>Act as a go-to resource for other engineers on AI/ML best practices. </li> <li>Communicate clearly with both technical and non-technical stakeholders.</li> <li>Occasionally engage directly with customers or customer-facing teams to explain how AI-driven functionality works </li> </ul> <h3>Necessary Qualifications</h3> <ul> <li>6+ years of experience in data science, machine learning engineering, or a related quantitative/engineering field, including hands-on production ML or AI system delivery</li> <li>Strong software engineering skills, particularly in Python</li> <li>Direct experience building & shipping ML models or AI/agentic functionality in production</li> <li>Experience building/curating evaluation sets/ground truth for ML or LLM-based systems</li> <li>Experience with MLOps tools and practices for production ML/AI systems</li> <li>Familiarity with cloud platforms (preferably AWS) and data warehousing (e.g. Snowflake)</li> <li>Understanding of machine learning concepts and their practical, production application</li> <li>Experience with version control and CI/CD practices</li> <li>Demonstrated ability to lead technical work with limited oversight and to influence technical direction without formal authority</li> <li>Excellent problem-solving and analytical skills</li> </ul> <h3>Ideal Qualifications</h3> <ul> <li>Experience embedding LLM-based or agentic features into a production product</li> <li>Experience with dbt for data transformations</li> <li>Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes)</li> <li>Experience mentoring other engineers or acting as a technical go-to person on a team</li> <li>Knowledge of procurement and/or supply chain data models</li> <li>Prior experience in enterprise software and startups</li> </ul> <p>If you're passionate about turning innovative ideas into scalable solutions and want to make a significant impact in the procurement space, we'd love to hear from you. Join us in revolutionizing how companies manage their spend and supply chains!</p> </div><div class="content-pay-transparency"><div class="pay-input"><div class="title">Pay Range</div><div class="pay-range"><span>$160,000</span><span class="divider">—</span><span>$200,000 USD</span></div></div></div><div class="content-conclusion"><p>Arkestro is committed to providing our employees with a benefits package designed to give you the flexibility you need to ensure a healthy life/work balance. Arkestro offers our employees great benefits and perks, including, but not limited to:</p> <ul> <li>Competitive salary and startup equity</li> <li>Medical, Dental, Vision insurance