AI Operations Analyst

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    "heading": "AI Operations Analyst About Our Company Our company builds institutional memory for investment firms and family offices. The judgment, decisions, and conversations that make a firm what it is mostly live in people's heads — and disappear when those people move on. We change that, working on top of the tools each firm already uses to turn how they operate into something the team can use, allocators can see, and the next generation can inherit.\n  The Role This is a frontline operations role for an AI-native consulting practice. The founder owns each client engagement and sets the architecture. You keep the systems running and the clients well-served. As AI lets very small teams deliver work that used to require very large ones, someone has to make sure the prompts, knowledge bases, capture routines, and recurring deliverables behind that actually work as intended.\n  What You'll Do Frontline Support Be the first point of contact for client teams. Take in requests, respond, and escalate to the founder when needed. Diagnose the Problem Most requests won't come with clear specs. Figure out what the client actually needs and what the response should look like. Update the Tooling Once you know the right response, go into Notion, Linear, Slack, Google Workspace, Claude, Fireflies, etc. and make it real. The work is configuration and curation. Turn Messy Material into Useful Artifacts Transcripts, email threads, scattered documents — read them, find the structure, and produce a summary, decision log, brief, or procedure. Steward the Knowledge Base Keep each client's institutional memory layer organized, current, and trustworthy. Catch staleness, gaps, and drift before they compound. Monitor Quality Review AI-assisted outputs on a regular cadence. Fix wrong-voiced or thin output and feed corrections back into the templates. Document the System Write the procedures and reference materials that let a client's team operate on their own. Onboard New Clients Stand up tooling, ingest context, build initial structures, get routines running. Each onboarding makes the next one faster.\n  Who You Are AI operations didn't exist as a job a couple of years ago, so we care more about how you're wired than what's on your résumé. You're Wired for Correctness You can't comfortably walk away from something that's half-finished or quietly broken. You notice when an output is subtly wrong, thin, or off-voice. You Learn by Doing You don't wait for perfect documentation; you take a stab, and when you get stuck you come back with a precise account of what you don't understand. You Teach Yourself the Frontier You already explore new tools, features, and techniques on your own time to see how far you can push them because learning is fun for you. You Want to Own Outcomes You're the person who can see the fix and is frustrated by not having the authority to deliver. You want the accountability — not the title, the responsibility — and you understand that owning something means defining what success looks like and being measured against it. You Can Understand What People Actually Need Requests arrive messy and underspecified. You're good at translating \\\"the client said X\\\" into \\\"here's what actually needs to happen,\\\" and triaging across tools and teams to make it real.\n  You do not need a finance background or a degree. You do need to be smart, curious, easy to work with, and genuinely interested in the problem. \",\n \"datePosted\": \"2026-06-04\",\n \"validThrough\": \"2026-09-02\",\n \"employmentType\": \"FULL_TIME\",\n \"hiringOrganization\": {\n \"@type\": \"Organization\",\n \"name\": \"Talent Hackers\",\n \"sameAs\": \"https:\\/\\/trytalenthackers.com\\/\",\n \"logo\": \"https:\\/\\/s3.amazonaws.com\\/resumator\\/customer_20250515192140_HUIDF9P7T6KNEAKD\\/logos\\/20250515202657_Talent_Hackers_Dark_logo_Transparent_1_2.png\"\n },\n \"jobLocation\": {\n \"@type\": \"Place\",\n \"address\": {\n \"@type\": \"PostalAddress\",\n \"addressLocality\": \"\",\n \"addressRegion\": \"\",\n \"postalCode\": \"\"\n }\n },\n \"experienceRequirements\": \"Experienced\",\n \"uniqueJobCode\": \"job_20260604184714_O6OSWBB7Q49RT7NR\",\n \"jobLocationType\": \"TELECOMMUTE\",\n \"applicantLocationRequirements\": {\n \"@type\": \"Country\",\n \"name\": \"US\"\n }\n}\n « Back to Jobs\n Talent Hackers\n AI Operations Analyst",
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    "description_html": "<h1><strong>AI Operations Analyst</strong></h1><h2>About Our Company</h2><p>Our company builds institutional memory for investment firms and family offices. The judgment, decisions, and conversations that make a firm what it is mostly live in people's heads — and disappear when those people move on. We change that, working on top of the tools each firm already uses to turn how they operate into something the team can use, allocators can see, and the next generation can inherit.<br> </p><h2><strong>The Role</strong></h2><p>This is a frontline operations role for an AI-native consulting practice. The founder owns each client engagement and sets the architecture. You keep the systems running and the clients well-served.</p><p>As AI lets very small teams deliver work that used to require very large ones, someone has to make sure the prompts, knowledge bases, capture routines, and recurring deliverables behind that actually work as intended.<br> </p><h2><strong>What You'll Do</strong></h2><ul><li><h3>Frontline Support</h3></li></ul><p>Be the first point of contact for client teams. Take in requests, respond, and escalate to the founder when needed.</p><ul><li><h3>Diagnose the Problem</h3></li></ul><p>Most requests won't come with clear specs. Figure out what the client actually needs and what the response should look like.</p><ul><li><h3>Update the Tooling</h3></li></ul><p>Once you know the right response, go into Notion, Linear, Slack, Google Workspace, Claude, Fireflies, etc. and make it real. The work is configuration and curation.</p><ul><li><h3>Turn Messy Material into Useful Artifacts</h3></li></ul><p>Transcripts, email threads, scattered documents — read them, find the structure, and produce a summary, decision log, brief, or procedure.</p><ul><li><h3>Steward the Knowledge Base</h3></li></ul><p>Keep each client's institutional memory layer organized, current, and trustworthy. Catch staleness, gaps, and drift before they compound.</p><ul><li><h3>Monitor Quality</h3></li></ul><p>Review AI-assisted outputs on a regular cadence. Fix wrong-voiced or thin output and feed corrections back into the templates.</p><ul><li><h3>Document the System</h3></li></ul><p>Write the procedures and reference materials that let a client's team operate on their own.</p><ul><li><h3>Onboard New Clients</h3></li></ul><p>Stand up tooling, ingest context, build initial structures, get routines running. Each onboarding makes the next one faster.<br> </p><h2><strong>Who You Are</strong></h2><p>AI operations didn't exist as a job a couple of years ago, so we care more about how you're wired than what's on your résumé.</p><ul><li><h3>You're Wired for Correctness</h3></li></ul><p>You can't comfortably walk away from something that's half-finished or quietly broken. You notice when an output is subtly wrong, thin, or off-voice.</p><ul><li><h3>You Learn by Doing</h3></li></ul><p>You don't wait for perfect documentation; you take a stab, and when you get stuck you come back with a precise account of what you don't understand.</p><ul><li><h3>You Teach Yourself the Frontier</h3></li></ul><p>You already explore new tools, features, and techniques on your own time to see how far you can push them because learning is fun for you.</p><ul><li><h3>You Want to Own Outcomes</h3></li></ul><p>You're the person who can see the fix and is frustrated by not having the authority to deliver. You want the accountability — not the title, the responsibility — and you understand that owning something means defining what success looks like and being measured against it.</p><ul><li><h3>You Can Understand What People Actually Need</h3></li></ul><p>Requests arrive messy and underspecified. You're good at translating \"the client said X\" into \"here's what actually needs to happen,\" and triaging across tools and teams to make it real.<br> </p><p>You do not need a finance background or a degree. You do need to be smart, curious, easy to work with, and genuinely interested in the problem.</p>",
    "description_text": "AI Operations Analyst\n About Our Company\n Our company builds institutional memory for investment firms and family offices. The judgment, decisions, and conversations that make a firm what it is mostly live in people's heads — and disappear when those people move on. We change that, working on top of the tools each firm already uses to turn how they operate into something the team can use, allocators can see, and the next generation can inherit.\n The Role\n This is a frontline operations role for an AI-native consulting practice. The founder owns each client engagement and sets the architecture. You keep the systems running and the clients well-served.\n As AI lets very small teams deliver work that used to require very large ones, someone has to make sure the prompts, knowledge bases, capture routines, and recurring deliverables behind that actually work as intended.\n What You'll Do\n Frontline Support\n Be the first point of contact for client teams. Take in requests, respond, and escalate to the founder when needed.\n Diagnose the Problem\n Most requests won't come with clear specs. Figure out what the client actually needs and what the response should look like.\n Update the Tooling\n Once you know the right response, go into Notion, Linear, Slack, Google Workspace, Claude, Fireflies, etc. and make it real. The work is configuration and curation.\n Turn Messy Material into Useful Artifacts\n Transcripts, email threads, scattered documents — read them, find the structure, and produce a summary, decision log, brief, or procedure.\n Steward the Knowledge Base\n Keep each client's institutional memory layer organized, current, and trustworthy. Catch staleness, gaps, and drift before they compound.\n Monitor Quality\n Review AI-assisted outputs on a regular cadence. Fix wrong-voiced or thin output and feed corrections back into the templates.\n Document the System\n Write the procedures and reference materials that let a client's team operate on their own.\n Onboard New Clients\n Stand up tooling, ingest context, build initial structures, get routines running. Each onboarding makes the next one faster.\n Who You Are\n AI operations didn't exist as a job a couple of years ago, so we care more about how you're wired than what's on your résumé.\n You're Wired for Correctness\n You can't comfortably walk away from something that's half-finished or quietly broken. You notice when an output is subtly wrong, thin, or off-voice.\n You Learn by Doing\n You don't wait for perfect documentation; you take a stab, and when you get stuck you come back with a precise account of what you don't understand.\n You Teach Yourself the Frontier\n You already explore new tools, features, and techniques on your own time to see how far you can push them because learning is fun for you.\n You Want to Own Outcomes\n You're the person who can see the fix and is frustrated by not having the authority to deliver. You want the accountability — not the title, the responsibility — and you understand that owning something means defining what success looks like and being measured against it.\n You Can Understand What People Actually Need\n Requests arrive messy and underspecified. You're good at translating \"the client said X\" into \"here's what actually needs to happen,\" and triaging across tools and teams to make it real.\n You do not need a finance background or a degree. You do need to be smart, curious, easy to work with, and genuinely interested in the problem.",
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      "description": "<h1><strong>AI Operations Analyst</strong></h1><h2>About Our Company</h2><p>Our company builds institutional memory for investment firms and family offices. The judgment, decisions, and conversations that make a firm what it is mostly live in people's heads — and disappear when those people move on. We change that, working on top of the tools each firm already uses to turn how they operate into something the team can use, allocators can see, and the next generation can inherit.<br> </p><h2><strong>The Role</strong></h2><p>This is a frontline operations role for an AI-native consulting practice. The founder owns each client engagement and sets the architecture. You keep the systems running and the clients well-served.</p><p>As AI lets very small teams deliver work that used to require very large ones, someone has to make sure the prompts, knowledge bases, capture routines, and recurring deliverables behind that actually work as intended.<br> </p><h2><strong>What You'll Do</strong></h2><ul><li><h3>Frontline Support</h3></li></ul><p>Be the first point of contact for client teams. Take in requests, respond, and escalate to the founder when needed.</p><ul><li><h3>Diagnose the Problem</h3></li></ul><p>Most requests won't come with clear specs. Figure out what the client actually needs and what the response should look like.</p><ul><li><h3>Update the Tooling</h3></li></ul><p>Once you know the right response, go into Notion, Linear, Slack, Google Workspace, Claude, Fireflies, etc. and make it real. The work is configuration and curation.</p><ul><li><h3>Turn Messy Material into Useful Artifacts</h3></li></ul><p>Transcripts, email threads, scattered documents — read them, find the structure, and produce a summary, decision log, brief, or procedure.</p><ul><li><h3>Steward the Knowledge Base</h3></li></ul><p>Keep each client's institutional memory layer organized, current, and trustworthy. Catch staleness, gaps, and drift before they compound.</p><ul><li><h3>Monitor Quality</h3></li></ul><p>Review AI-assisted outputs on a regular cadence. Fix wrong-voiced or thin output and feed corrections back into the templates.</p><ul><li><h3>Document the System</h3></li></ul><p>Write the procedures and reference materials that let a client's team operate on their own.</p><ul><li><h3>Onboard New Clients</h3></li></ul><p>Stand up tooling, ingest context, build initial structures, get routines running. Each onboarding makes the next one faster.<br> </p><h2><strong>Who You Are</strong></h2><p>AI operations didn't exist as a job a couple of years ago, so we care more about how you're wired than what's on your résumé.</p><ul><li><h3>You're Wired for Correctness</h3></li></ul><p>You can't comfortably walk away from something that's half-finished or quietly broken. You notice when an output is subtly wrong, thin, or off-voice.</p><ul><li><h3>You Learn by Doing</h3></li></ul><p>You don't wait for perfect documentation; you take a stab, and when you get stuck you come back with a precise account of what you don't understand.</p><ul><li><h3>You Teach Yourself the Frontier</h3></li></ul><p>You already explore new tools, features, and techniques on your own time to see how far you can push them because learning is fun for you.</p><ul><li><h3>You Want to Own Outcomes</h3></li></ul><p>You're the person who can see the fix and is frustrated by not having the authority to deliver. You want the accountability — not the title, the responsibility — and you understand that owning something means defining what success looks like and being measured against it.</p><ul><li><h3>You Can Understand What People Actually Need</h3></li></ul><p>Requests arrive messy and underspecified. You're good at translating \"the client said X\" into \"here's what actually needs to happen,\" and triaging across tools and teams to make it real.<br> </p><p>You do not need a finance background or a degree. You do need to be smart, curious, easy to work with, and genuinely interested in the problem.</p>",
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