--- title: 'Forward Deployed AI Analyst at Makai Labs' canonical: 'https://feeny.ai/job/forward-deployed-ai-analyst-makai-labs-new-york-3d5d5c9fj953' type: 'job' last_seen: '2026-09-07' --- # Forward Deployed AI Analyst at Makai Labs - **Company:** Makai Labs - **Location:** New York, NY - **Compensation:** $100k–$110k - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-09-04 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.ashbyhq.com/makai-labs/3d4373e8-e09a-4034-a8e0-d511cef44fc7 ## Job description Makai Labs builds AI systems that automate real work inside companies. As a Forward Deployed AI Analyst, you will train with Makai’s engineering, product, and client teams, then embed in one of our client engagements to find the workflows worth automating and build AI agents that handle them. You will work directly with the people who run the business, and your work is done when their teams rely on what you built. This is an early-career role. You will see how a company actually runs from the inside, rapidly become a subject matter expert, and iterate on prototypes to improve their workflows. ## RESPONSIBILITIES You will spend about your first month in training and shadowing, then take one workflow end to end alongside a Makai lead before working more independently. Engagements vary, but most follow the same arc. You start by learning how the work is done today. Discovery tasks include interviewing client Subject Matter Experts (SMEs), reading the documents they work from, and mapping the systems involved. Based on this discovery, you propose what to automate, work with the client team to write the spec, and build a prototype on Makai's platform. Makai engineers support the technical work throughout. If the prototype holds up with client practitioners, you run the rollout and measure productivity and ROI. Not every project reaches every stage. Some end at discovery, and some prototypes don't survive user testing. Part of the job is figuring out what won’t work, so that we can focus our effort optimally. Over time, Analysts will get put onto career development tracks toward AI engineering, product and implementation, or engagement leadership, depending on performance and interest. ## EXAMPLE PROBLEMS - A finance team spends days manually reading data from PDFs, entering them into giant spreadsheets, running internal formulae and drafting reports based on these results. - A field operations team spends hours manually scheduling and resolving conflicts for employees using multiple disconnected platforms. - A spreadsheet process has become a business-critical system without clear ownership or controls. ## QUALIFICATIONS We are looking for seniors, recent graduates, and early-career candidates who want a path toward company leadership. An ideal candidate has shown ownership both inside and outside the classroom. That could mean you: - Built a product, tool, model, startup, research system, or internal process. - Led a club, team, lab effort, athletic group, event, or high-pressure project. - Took a messy internship project and turned it into something people used. ## TECHNICAL PROFILE - Python, JavaScript, SQL, or another programming/data-analysis language. - APIs, workflow automation, backend services, internal tools, or scripting. - LLMs, retrieval, agents, structured outputs, prompt design, or AI evaluation. - Data analysis, spreadsheets, dashboards, process mining, or financial/operating models. - Product specs, user stories, QA testing, Jira, Azure DevOps, or agile delivery. - Research, internships, startups, team leadership, athletics, or other high-accountability work. Very technical candidates may be considered for AI engineering or solutions engineering paths. Product- and operator-oriented candidates may be considered for implementation, product, or business analysis paths. ## POSITION DETAILS - Location: Remote-friendly, with Eastern Time overlap preferred. - Travel: Occasional travel may be required for training, client work, or company visits. - Start timing: Paid IAP micro-cohort (January 2027) and summer 2027 full-time starts. - Exceptional recent alumni may be considered for an earlier full-time start. - Sponsorship: No VISA sponsorship available at this time. ## About Makai Labs ## Company Overview - **One-liner**: Makai Labs develops AI-enabled process automation solutions that adapt to people, helping enterprises automate repetitive tasks and make smarter decisions. - **Entity Type**: Private (bootstrapped; no disclosed funding) - **Headquarters**: New York, New York, United States - **Founded**: 2021 - **Founders**: Founded by MIT alumni (specific founder names not publicly listed; leadership includes CEO Joseph Kim, CTO Adrian Ghiuta) ## Core Business - **Primary industry**: Enterprise AI / Process Automation - **Target customers**: B2B – mid-market to large enterprises across industries (healthcare, finance, logistics, etc.) - **Mission**: “Workforce enablement, not employee replacement” – building human-machine teaming solutions that improve work quality while keeping people as the final check. ## Products & Services - **Enterprise Automation**: End-to-end automation services to streamline business operations, integrating various systems and processes. - **Robotic Process Automation (RPA)**: Automation of high-volume, rule-based tasks using software robots. - **Natural Language Processing (NLP)**: Textual analysis and data extraction from unstructured documents. - **Application Development**: Custom applications tailored to specific business needs. - **Computer Vision**: Image and video analysis to automate visual tasks. - **Market Intelligence**: AI-driven competitive and market research to support proactive decision-making. - **Product Design & Development**: Adaptation and improvement of existing tech tools to transform business processes. ## Market Standing - **Valuation**: Not publicly available - **Key Metric**: 13 employees (as of mid-2025), +90% YoY headcount growth - **Notable Investors/Partners**: None disclosed publicly - **Growth Signals**: - Active job postings: 21 (up 75% year-over-year) - LinkedIn follower growth: +163.9% yearly - Website traffic: +16.6% yearly - Expanding global presence: offices in Brazil, Poland, Romania ## Competitive Advantages - **Human-in-the-loop approach**: Technology is never 100% accurate, so Makai keeps people as the final firewall, ensuring quality and trust. - **MIT-alumni founded**: Brings 20+ years of cross-disciplinary experience in AI, computer science, UX/UI, and business. - **Full-stack AI capabilities**: Combines RPA, NLP, computer vision, and custom development under one roof – not just a point solution. - **Adaptive software**: Solutions that learn and adjust to how people work, rather than forcing users to adapt to rigid tools. ## Strategic Focus - Scaling the engineering and consulting team to meet growing client demand. - Continuing to develop “groundbreaking AI products” (per LinkedIn updates) while maintaining a strong human-in-the-loop philosophy. - Expanding into new verticals (healthcare, finance) and global markets (Europe, Latin America). ## Why Work Here - **Culture**: Tight-knit, fast-moving team solving meaningful problems. Emphasis on collaboration and impact. - **Work policy**: Hybrid/remote flexibility – job postings list “In-Office or Remote”; HQ in New York with distributed team members. - **Engineering culture**: Modern tech stack (React, Python, Docker, PostgreSQL, Flask, etc.) and exposure to cutting-edge AI/ML projects. - **Growth**: Rapidly scaling company (90% headcount growth) with opportunities for ownership and career advancement. - **Perks**: Not explicitly detailed, but the company highlights “good people” and meaningful work as key draws. ## Sources 1. [makailabs.ai](https://makailabs.ai/) 2. [makailabs.ai/about](https://makailabs.ai/about) 3. [linkedin.com/company/makai-labs](https://www.linkedin.com/company/makai-labs) 4. [builtinnyc.com/company/makai-labs](https://www.builtinnyc.com/company/makai-labs) 5. 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