DESCRIPTION We're a small applied AI lab running a live, production-track AI product for an institutional financial services client. The work is technical, fast-moving, and high-stakes. We need to fill a critical infrastructure role with someone senior, collaborative, and genuinely excited about building in the current AI tooling ecosystem. THE ROLE You'll own the data infrastructure layer for an AI-powered intelligence platform built on the Microsoft Azure ecosystem. This is a hands-on engineering position — you're responsible for designing, building, and maintaining the pipelines that feed a live AI scoring engine. The environment is agentic. Data moves from 15+ heterogeneous external sources (APIs, PDFs, regulatory filings, web) through Bronze, Silver, and Gold layers into a scoring and inference system. The hard problems are extraction quality, schema normalization, pipeline reliability, and getting the right data to the scoring engine in the right shape. You'll work directly with the technical lead and engagement lead. No layers. Fast decisions. WHAT YOU'LL OWN + Data pipeline architecture and delivery across Bronze (raw ingestion), Silver (normalization, NLP extraction, entity resolution), and Gold (unified output, scoring-ready) layers + Microsoft Fabric lakehouse implementation — OneLake, Data Pipelines, Dataflows Gen2, Warehouse, and downstream system integration + Microsoft Foundry (formerly Azure AI Studio) — agent orchestration, prompt pipelines, and AI model integration within a secure Azure tenancy + Azure Data Factory orchestration for structured source ingestion +Salesforce integration via Snowflake native connector — field mapping, custom object schemas, sync reliability Extraction pipelines for unstructured sources (PDFs, regulatory filings, web content), coordinating with Azure OpenAI-based extraction agents +Data governance and security posture — all data stays within the client's Azure tenancy; data residency is non-negotiable REQUIRED: Technical Skills + Microsoft Fabric — production experience, not sandbox. You should be able to speak to Lakehouse vs. Warehouse tradeoffs, OneLake architecture, and real pipeline implementation. Microsoft Foundry / Azure AI Studio — hands-on with agent deployments, prompt flow, model endpoints, and Azure OpenAI integration within an enterprise Azure tenancy + Azure Data Factory — pipeline authoring, trigger management, connector configuration, monitoring +Snowflake — Gold layer data warehousing, schema design, query optimization, native connector usage (specifically Salesforce) + Python — data engineering contexts: pandas, PySpark, API clients, extraction scripts + SQL — complex joins, window functions, schema design; SQL Server preferred + Azure Blob Storage / ADLS Gen2 — Parquet/Delta format, access control, lifecycle management REQUIRED: AI-Augmented Development This is a hard requirement. You should be actively using AI coding tools to multiply your output — fluency with Claude Code, Cursor, and OpenAI Codex as part of your daily development workflow. If these aren't already in your stack, this isn't the right fit. We hire for multiplied output, not raw hours. REQUIRED: Demonstrable Work We don't evaluate resumes alone. Bring something — a GitHub repo, a deployed pipeline, an architecture document you authored, a case study with real numbers. We should be able to look at your work and understand what you built, what decisions you made, and why. Work under NDA is fine if you can describe it in enough detail to convey complexity and ownership. ATTITUDE & WORK STYLE Comfortable with Agile Scrum and its accompanying ceremonies. You raise issues early and help solve them. You communicate tradeoffs clearly without over-explaining. You're comfortable with evolving specs and don't need to win the architecture argument — just build the right thing within the approved stack. We're a small, senior team with low friction and direct communication. That's the environment; it works if you work with it. THE STACK The client environment has specific technology approvals. Production work runs on Azure OpenAI (client-hosted), Microsoft Fabric, Microsoft Foundry, Snowflake, Azure Data Factory, ADLS Gen2, Salesforce via Snowflake native connector, and SQL Server. LangChain, DeepSeek, and the external Claude API are not approved for this environment. NICE TO HAVES Experience with financial services or institutional investment data (SEC EDGAR, public pension filings, regulatory documents), familiarity with InvestorFlow or Salesforce Financial Services Cloud, unstructured document extraction at scale, or Azure Purview.

About the Project & Founder: Hi there! My name is Aaron Thomas. I am a veteran Construction Project Manager and Superintendent with over 15+ years of boots-on-the-ground experience managing complex, high-profile commercial and industrial projects (including the Intuit Dome, The Grand by Gehry, and major aviation programs at LAX). Throughout my career, I got tired of seeing powerful scheduling tools stop at the office door. So, I built Field Scribe—a web-based CPM scheduling platform designed specifically to bridge the gap between complex scheduling logic and real-time field operations. What We Are Looking For: I am looking to hire a seasoned independent or freelance Construction Scheduler to conduct a thorough walkthrough and professional evaluation of Field Scribe. This is a two-part opportunity: 1. Paid Consultation: You will be paid your hourly rate to test-drive the platform, look at our CPM engine, try out our native DCMA 14-point quality check, and give me your unvarnished, expert feedback. 2. Long-Term Partnership (Passive Income): If you genuinely love the platform and believe it solves the disconnect between the office and the field, we want to bring you on as a trusted Partner. When you recommend Field Scribe to your General Contractor or Subcontractor clients, you will receive a recurring referral commission for the lifetime of those active project accounts. Why Field Scribe is Unique for Schedulers: We aren't trying to replace your deepest enterprise analytical tools, but we are fixing the execution gap. - The "Field Scribe Difference": We connect the CPM schedule directly to the field by linking daily reports, CSI MasterFormat division coding, safety tracking, and real-time communication to the exact same baseline schedule you manage. - Built-in Quality Control: Features native, auto-scored DCMA 14-point assessments and instant schedule health feedback. - Built-In Risk Simulation: Built-in Monte Carlo Risk Simulation providing P10/P50/P80/P90 finish dates without requiring pricey third-party add-ons. - Low Friction for Clients: 100% browser-based with a visual layout that Office/Field Engineers and PMs can actually understand—meaning fewer headache-inducing updates for you. - Easy Migration: Full XER and Excel file import/export support. Your Responsibilities: - Meet for a brief intro call and a 15-minute walkthrough of the platform. - Provide honest feedback on the CPM engine, visual interface, and reporting features. - (Optional) Identify clients in your network who struggle with schedule adoption, field team collaboration, or cumbersome CSI daily reporting, and introduce Field Scribe to them in exchange for a generous, ongoing commission. Qualifications: - Extensive experience as a Construction Scheduler (P6, MS Project, or Other scheduling software expertise). - Deep understanding of CPM scheduling logic, relationships, constraints. -An active roster of freelance or contract construction clients (GCs, owners, or subcontractors). - Strong communication skills and a desire to see technology actually work for the field, not just the trailers.

We are seeking an experienced Excel developer with compensation, HR analytics, workforce planning, or financial modeling experience to build a modernized merit planning workbook and manager recommendation tool. Our goal is to create a simple, intuitive, and sustainable solution that supports a performance-based merit process while ensuring merit allocations remain within approved budget parameters. The tool should be easy for managers to complete, easy for leadership to review, and reusable year after year. Project Deliverables Leadership Merit Planning Workbook Develop an Excel workbook that allows leadership to: • Import employee-level data• Manage merit allocations within an approved budget• Review manager recommendations• Perform merit calibration• Analyze compensation and equity metrics• Produce executive-level reporting and dashboards Key Features Budget Management • Merit pool tracking• Budget vs. actual merit spend• Automatic alerts if recommendations exceed budget• Merit reserve tracking• Scenario modeling for different merit approaches Compensation Analytics • Comp ratio analysis• Salary range penetration analysis• Market midpoint analysis• Compression risk indicators• Equity review by department, manager, and job category Merit Analytics • Rating distribution analysis• Merit spend by division, department, and manager• Merit increase percentage analysis• Merit dollar impact analysis• High performer identification Executive Dashboard Simple visual dashboard displaying: • Total merit budget• Recommended spend• Remaining budget• Rating distribution• Merit distribution• Comp ratio distribution• Employees requiring review Manager Merit Recommendation Workbook The manager-facing workbook should be intentionally simple and easy to complete. Managers should be able to: • Select performance ratings• Recommend merit increases• Provide required justification when applicable Performance Rating Scale • 1 Star = Unsatisfactory• 2 Stars = Needs Improvement• 3 Stars = Meets Expectations• 4 Stars = Above Expectations• 5 Stars = Highly Exceeds Expectations Manager Inputs For each employee: • Performance Rating• Recommended Merit %• Optional Comments Required Justification Written justification should only be required for: • 1 Star ratings• 4 Star ratings• 5 Star ratings This is intended to balance accountability while minimizing administrative burden. Calibration & Governance Features The workbook should include a simple leadership calibration process that captures: • Original manager rating• Original merit recommendation• Final leadership-approved rating• Final merit recommendation• Variance between manager and final recommendation• Reason for adjustment (dropdown menu) Suggested reason codes: • Calibration Review• Documentation Insufficient• Equity Adjustment• Compression Concern• Budget Alignment• Retention Consideration• HR Review This feature should provide an audit trail without creating unnecessary complexity. Employee Review Flags Automatically identify employees requiring additional discussion, such as: • Merit recommendations above a defined threshold• Merit recommendations of 0%• Rating and merit inconsistencies• Compression concerns• High performers with low comp ratios• Budget outliers Usability Requirements The workbook should: • Be visually clean and easy to navigate• Use simple instructions and clear workflows• Minimize manual entry• Include protected formulas• Use drop-down selections where possible• Be maintainable by internal users without advanced Excel expertise Ideal Candidate We are looking for someone with experience in: • Compensation planning• Merit increase modeling• HR analytics• Workforce planning• Financial modeling• Executive dashboard development Strong Excel skills are required, including: • Pivot tables• Power Query• Data validation• Conditional formatting• Dashboard design Deliverables • Leadership merit planning workbook• Manager recommendation workbook• Executive dashboard• Sample data file• User guide• Final walkthrough and knowledge transfer session

Hi, I'm Matt. I run Honest Aux, a social media marketing agency in Montana. We shoot reels, shorts, and long-form content for local businesses. Real people, real stories, no AI-generated fluff. Over the past three years, that approach has helped our clients rack up tens of millions of organic views. It works because it's genuine, and the businesses we partner with can feel the difference. Right now I do everything: filming, strategy, sales, closing. I need someone to take the front end of that sales process off my plate. --- What the job actually is: You'll call local businesses from a provided list using Quo, have real conversations with owners, figure out if there's a fit, and book discovery calls on my Google Calendar via Google Meet. That's it. I handle everything after the call. This is not a VA role. It's not a research role. It's a phone role. --- What you'll do on each call The goal isn't to pitch hard, it's to have a real conversation. On each call you're trying to figure out: 1. Do they actually need what we offer? (We don't want to book meetings with bad fits.) 2. Can they afford it? Basic pricing qualification, no pressure, just feel it out. 3. Are they interested? Gauge it honestly and let it guide whether you push for a meeting. You'll also be able to speak to what Honest Aux has done for other businesses, real results, real clients, so you can back up the conversation with something concrete when it helps. If there's genuine interest and fit, you book the meeting. If not, you log the outcome and move on. --- Day-to-day tasks - Call businesses from a provided Google Sheets list in Quo - Reach the owner or whoever handles marketing decisions - Have a natural, low-pressure conversation about what we do and whether it might be a fit - Handle basic objections: not as a script, just as a conversation - Book qualified meetings on my Google Calendar (Google Meet) - Send follow-up emails using provided templates - Log all call outcomes in Excel with color-coded disposition (we have a simple system for this) --- What I'm looking for The tone of these calls needs to match the market. Western Montana is a small-town, word-of-mouth environment. Business owners here can smell a slick sales call from a mile away and hang up. What works is sounding like a real person having a real conversation, not reading a script, not rushing through a pitch, not hammering objections. You can hear some call examples in the attached calls You should be: - Experienced in cold calling or appointment setting - Comfortable talking to small business owners, not intimidated, not over-the-top - A good listener (this matters more than a good talker for this role) - Reliable and consistent. I need someone who shows up and makes the calls - Available during Mountain Time business hours - A native English speaker with a neutral accent and an approachable phone presence --- The process right now: The calling side of things is still getting dialed in. I have a reference script and a process, but I expect it to evolve in the first few weeks based on what you're hearing. I don't need perfection on day one. I need someone who can communicate clearly, flag what's working and what isn't, and help tighten the system as we go. --- Pay: - $25-$30 per hour base - $25 per qualified meeting booked - $200 bonus per closed deal (average is 1–2 per month) This is performance-based. Strong callers who book consistently will earn well for the hours worked. Commission can increase for higher qualified meetings --- Hours Starting at 5–10 hours per week. Room to grow based on results. --- Our market: Primarily Western Montana right now; Missoula, the Bitterroot Valley, Kalispell, Whitefish. We're building toward national expansion, but the core book of business is local and relationship-driven. --- To apply Tell me about a specific cold calling or appointment setting campaign you've personally worked on: - What industry - What you were selling or offering - Who you were calling - What your average booking rate was Don't skip this. Applications without it won't be considered.

Hi, I'm Matt. I run Honest Aux, a social media marketing agency in Montana. We shoot reels, shorts, and long-form content for local businesses. Real people, real stories, no AI-generated fluff. Over the past three years, that approach has helped our clients rack up tens of millions of organic views. It works because it's genuine, and the businesses we partner with can feel the difference. Right now I do everything: filming, strategy, sales, closing. I need someone to take the front end of that sales process off my plate. --- What the job actually is: You'll call local businesses from a provided list using Quo, have real conversations with owners, figure out if there's a fit, and book discovery calls on my Google Calendar via Google Meet. That's it. I handle everything after the call. This is not a VA role. It's not a research role. It's a phone role. --- What you'll do on each call The goal isn't to pitch hard, it's to have a real conversation. On each call you're trying to figure out: 1. Do they actually need what we offer? (We don't want to book meetings with bad fits.) 2. Can they afford it? Basic pricing qualification, no pressure, just feel it out. 3. Are they interested? Gauge it honestly and let it guide whether you push for a meeting. You'll also be able to speak to what Honest Aux has done for other businesses, real results, real clients, so you can back up the conversation with something concrete when it helps. If there's genuine interest and fit, you book the meeting. If not, you log the outcome and move on. --- Day-to-day tasks - Call businesses from a provided Google Sheets list in Quo - Reach the owner or whoever handles marketing decisions - Have a natural, low-pressure conversation about what we do and whether it might be a fit - Handle basic objections: not as a script, just as a conversation - Book qualified meetings on my Google Calendar (Google Meet) - Send follow-up emails using provided templates - Log all call outcomes in Excel with color-coded disposition (we have a simple system for this) --- What I'm looking for The tone of these calls needs to match the market. Western Montana is a small-town, word-of-mouth environment. Business owners here can smell a slick sales call from a mile away and hang up. What works is sounding like a real person having a real conversation, not reading a script, not rushing through a pitch, not hammering objections. You can hear some call examples in the attached calls You should be: - Experienced in cold calling or appointment setting - Comfortable talking to small business owners, not intimidated, not over-the-top - A good listener (this matters more than a good talker for this role) - Reliable and consistent. I need someone who shows up and makes the calls - Available during Mountain Time business hours - A native English speaker with a neutral accent and an approachable phone presence --- The process right now: The calling side of things is still getting dialed in. I have a reference script and a process, but I expect it to evolve in the first few weeks based on what you're hearing. I don't need perfection on day one. I need someone who can communicate clearly, flag what's working and what isn't, and help tighten the system as we go. --- Pay: - $25-$30 per hour base - $25 per qualified meeting booked - $200 bonus per closed deal (average is 1–2 per month) This is performance-based. Strong callers who book consistently will earn well for the hours worked. Commission can increase for higher qualified meetings --- Hours Starting at 5–10 hours per week. Room to grow based on results. --- Our market: Primarily Western Montana right now; Missoula, the Bitterroot Valley, Kalispell, Whitefish. We're building toward national expansion, but the core book of business is local and relationship-driven. --- To apply Tell me about a specific cold calling or appointment setting campaign you've personally worked on: - What industry - What you were selling or offering - Who you were calling - What your average booking rate was Don't skip this. Applications without it won't be considered.