Role Description Join us to start Caring. Connecting. Growing together. You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges. - Partner with business stakeholders and SMEs to elicit, analyze, and document clear business and data requirements across multiple Scrum teams - Translate business needs into detailed functional requirements, user stories, acceptance criteria, and data mappings - Serve as the primary liaison between business partners and technical teams to ensure shared understanding and alignment - Own end-to-end requirements management for new extracts and enhancements to existing extract capabilities - Perform detailed data analysis, source-to-target mapping, and validation of complex data structures and transformations - Support Agile ceremonies (backlog refinement, sprint planning, reviews) and actively collaborate with Product Owners - Identify gaps, dependencies, and risks in requirements and data flows; proactively raise and track remediation - Validate implemented solutions through functional testing, data reconciliation, and business sign-off - Maintain high-quality documentation, including requirements, mappings, data definitions, and process flows - Support production issues and enhancements by analyzing root causes and recommending solutions - Leverage enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement. Qualifications - Bachelor's degree - 3+ years of experience as a Business Systems Analyst or similar role in Agile/Scrum environments - 3+ years of experience in gathering, documenting, and managing business and functional requirements across multiple teams - 3+ years of experience with data analysis, data extracts, reporting using SQL, including source-to-target mapping, data validation, and understanding complex data models - 3+ years of experience in translating business needs into user stories, acceptance criteria, and functional specifications Requirements - Experience supporting enterprise-scale data platforms or extract/ETL tooling - Experience working with Product Owners and participating in backlog refinement and sprint planning - Experience with data governance concepts, data quality, and reconciliation - Prior experience supporting production systems and driving root cause analysis - Familiarity with healthcare, claims, or financial data (or other highly regulated data domains) - Strong collaboration and communication skills, with experience working directly with business SMEs and technical teams - Comfortable working across multiple concurrent initiatives and managing competing priorities Benefits - Comprehensive benefits package - Incentive and recognition programs - Equity stock purchase - 401k contribution (all benefits are subject to eligibility requirements)

• Deconstruct messy real-world workflows — sales ops, marketing ops, product ops, fulfillment, support — into their underlying steps. • Build agentic systems that ship value — agents, automations, internal tools, data pipelines, reporting/attribution. • Build product — stand up and rebuild complex products fast. • Own the unglamorous plumbing — the integrations, the data model, the tracking. • Reason commercially — figure out why a funnel, campaign, or product isn't working from first principles.

Role Description This role plugs into our highest-need seat — product/app, sales-ops, or CS-ops systems. In one line: We hand you a messy, ambiguous, high-stakes problem — and you come back with a working, tested system. You think about the business and the user, not just the code. Why this is one of the best seats in AI right now: - We're a fast-moving AI company building multiple products at once — an AI app builder, ad-creation tooling, cold-outreach/GTM systems, and an internal operations platform that runs the whole business. - We move fast, ship constantly, and we give builders the keys. What you get here that you won't get most places: - No budget cap for tokens and no babysitting. - Best-in-class tooling, frontier models, every AI coding harness and agent framework you want — and nobody counting your tokens. - A real engineering org and a brilliant CTO to build alongside. - Frontier work, not maintenance — agentic systems, internal platforms, GTM automation, net-new products. - Autonomy and ownership — you own a domain end-to-end; you don't wait for a ticket. - Top-of-market pay, paid properly and paid on time. - No politics — speed, output, and quality matter more than process theater. What you'll actually do: - Deconstruct messy real-world workflows — sales ops, marketing ops, product ops, fulfillment, support — into their underlying steps, then build the system that makes them run automatically and correctly. - Build agentic systems that ship value — agents, automations, internal tools, data pipelines, reporting/attribution. - Build product — stand up and rebuild complex products fast, making sharp build-vs-buy-vs-reuse calls under a deadline. - Own the unglamorous plumbing — the integrations, the data model, the tracking. - Reason commercially — figure out why a funnel, campaign, or product isn't working from first principles, and fix the real cause, not the symptom. - This is not static work. The systems need someone who keeps improving them. Qualifications - You're obsessive in a healthy way — you go all the way down when you get into something. - You ship absurdly fast — you build instead of debating. - You're an agentic-engineering native — you build with AI at the systems level. - You see the whole board — you reason about the business and the user. - You're right the first time — your work is tested and it works. - You're high-agency — you make sensible decisions and ship without waiting to be managed. - You can take a punch and throw one — you engage and defend your thinking with substance. - You live in the frontier — your feed is AI all day. - You're intellectually honest — you trace problems to root cause. Requirements - Evidence you build things you drive — agents, automations, tools, or significant initiatives. - Hands-on depth with agentic / AI engineering — building with LLMs and agent frameworks. - Experience in the info-product, agency, or DTC/GTM world. - GTM engineering / automation — n8n (strongly preferred), or Make/Zapier with complex builds. - Comfort with APIs, webhooks, JSON, and a real coding language (JS/Python/TS). - Bonus: martech / sales-tech depth — CRMs, tracking/attribution, ESP/email systems. Benefits - Comp: For the genuine article this lands around $12k–$22k/month, with real upside on what you own. - Type & framing: Starts as a paid engagement, grows into whatever's right for both of us. - Location: Anywhere with enough timezone overlap to collaborate day-to-day. Remote. - Exclusivity: Flexible to start; strongest engagements grow into something primary over time. How to apply There's no long form and no unpaid take-home busywork. We want to see what you've built and how you think — a tight Loom (keep the recording under ~15 min): - Show us something real you built — ideally a link to something live we can poke at. - A rebuild teardown: "If you had to rebuild an AI app builder — pick one: rork.com, Lovable, or Base44 — from scratch in 7 days, how would you attack it?" - One line: what's something in AI/agents/GTM you started using in the last 2–3 weeks, and why? Send your link(s) to the recruiter. If it's a fit, you'll do one live session — expect us to be direct, to change a requirement on you mid-conversation, to have you build something small live, and to push hard on your thinking.

Role Description Mercor connects elite creative and technical talent with leading AI research labs. The position is for a PyTorch Expert on a contract basis, with a compensation range of $70–$110/hour, and a commitment of 40 hours/week. This role is remote. - Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level topics. - Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to MLOps and ML systems problems. - Evaluate MLOps tasks and solutions and provide clear, written technical feedback. - Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks. - Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications - 2+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized, top-tier organization. - Hands-on production experience with PyTorch at scale. - Experience writing or optimizing custom GPU kernels using Triton or Pallas. - Demonstrable career progression. - Ability to engage reliably for at least 40 hours/week during weekdays. - Strong written communication skills and the ability to explain complex technical decisions clearly. Requirements - W-2 employment with Cincinnatus LLC. Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome - For any help or support, reach out to: support@mercor.com - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.