Anthropont (Kiin) - Blackout AI Labs

About the job Blackout AI Labs is building the future of sales execution in the industrial space. We’re seeking elite 1099 contractors who can deliver real-world AI impact—fast. Projects include: AI-Driven Dynamic Pricing Engines Smart CPQ Quotation Generators Win-Rate Optimization Models Profitability Scoring Systems Competitor Quote Benchmarking Tools What We Offer: Work on high-impact ERP + AI integrations with measurable ROI. Structured SOPs & tool stack—you focus on execution, we provide the framework. Remote, flexible, outcome-driven engagements. A chance to shape the future of AI adoption in industrial SMBs. Who We’re Looking For: Experience with Snowflake / Databricks / BigQuery + dbt Skilled in Vertex AI / SageMaker / LLM integration Familiar with CPQ systems (Salesforce CPQ, PROS, Tacton) Strong ERP integration experience (NetSuite, SAP B1, Dynamics, Epicor, Odoo) Professionals who thrive in a fast-paced, execution-first environment This is not theory. This is AI that drives margins, speeds up quoting, and wins deals. If you’re a proven builder ready to deliver, apply now through Anthropont Talent Solutions. Blackout AI Labs – Cutting through hype to deliver impact. The Ideal Contractor Profile for Blackout AI Labs 1. The “Builder-Strategist” Hybrid Not just a coder, not just a consultant — someone who can translate business pain (quoting, pricing, margin leakage) into a working AI/ERP solution. Think: someone who’s been frustrated at a big consultancy’s slowness, now wants to execute directly with speed. 2. ERP-Fluent + AI-Capable Has rolled up sleeves inside ERP/CPQ systems (SAP B1, NetSuite, Epicor, Dynamics, Odoo). Comfortable with data modeling (Snowflake/Databricks/dbt) and AI stack integration (Vertex AI, SageMaker, OpenAI APIs). Knows the difference between “neat model” and “production-ready integration.” 3. Outcome-Oriented Engineer Frames deliverables in terms of ROI: time saved, margin protected, conversion rate improved. Doesn’t just build; documents, transfers knowledge, and aligns outputs with business KPIs. 4. Independent but SOP-Disciplined Thrives as a 1099 contractor: owns their time, self-motivated, requires minimal babysitting. Willing to follow Blackout SOPs for QA, IP security, ROI framing, and knowledge transfer — not a cowboy coder. 5. Fast, Adaptive, Commercially Smart Can prototype quickly (90-day sprint) while keeping scalability in mind. Understands client perception — knows how to make the work look as good as it functions. Can flex between data science, integration, and product thinking. In plain terms: You’re not looking for “AI researchers” or “ERP admins.” You want contractor-operators who can sit at the intersection of industrial ERP, data engineering, and applied AI — and who get fired up about turning messy quoting processes into profit-driving systems. Would you like me to turn this into a candidate scorecard (with Must-Have / Nice-to-Have categories) so your team and Anthropont Talent can use it as a filter during interviews? Blackout AI Labs – Contractor SOP Pack (For use with 1099 candidates via Anthropont Talent Solutions) Consistency & Quality Control SOP ● Ensure all deliverables meet Blackout AI Labs’ LaunchPad™ standards. ● Use provided templates, code libraries, and workflow checklists. ● Every project must include documented integration steps, annotated code, and QA sign-off. ● Peer review required before client delivery. ● Non-compliant work returned for rework at no extra cost. IP & Data Security SOP ● Protect client data and Blackout IP. ● Work only within approved, Blackout-controlled environments. ● No data stored on personal devices. ● NDA + IP assignment mandatory. ● Unauthorized tools or shadow IT = termination. Client Trust & Perception SOP ● Maintain unified, premium client experience. ● No direct client communication unless authorized. ● Use only Blackout AI Labs email and branding. ● Present as part of the BlackBox OS™ team. ● No discussion of other clients or side projects. Availability & Reliability SOP ● Ensure LaunchPad™ sprints run on time. ● Commit to Project Availability Agreement before starting. ● Flag delays 72 hours in advance with mitigation options. ● Backups may replace contractors if commitments aren’t met. ● Repeat unreliability = removal from pool. ROI Alignment SOP ● Tie technical execution to client business outcomes. ● Frame deliverables in ROI terms (time saved, margin protected). ● Use BlackBox ROI Alignment Form for each task. ● Deliverables without ROI context = incomplete. Legal & Compliance SOP ● Maintain 1099 compliance. ● Contractors control how, when, where they work. ● Compensation is project/milestone-based. ● Contractors provide own equipment/software. ● Blackout AI Labs may audit compliance anytime. Knowledge Transfer SOP ● Prevent knowledge gaps. ● Document all work in BlackBox Central Knowledge Hub. ● Submit handoff package: architecture, code notes, troubleshooting. ● Final payment contingent on full documentation delivery. Contractor Agreement Summary ● Deliver consistent, ROI-aligned work using Blackout standards. ● Protect client and company IP/data at all times. ● Operate independently as 1099 contractors, not employees. ● Ensure all work is documented and transferable. ● Represent Blackout AI Labs with professionalism and confidentiality. Blackout AI Labs – Contractor Tool Stack & Use Case Guide For candidates applying to support AI LaunchPad™ ERP sales acceleration solutions. This document outlines the optimal tool stack and methodology for implementing AI LaunchPad™ use cases in the industrial SMB space. Contractors are expected to demonstrate expertise in these tools and approaches as part of Blackout AI Labs’ execution-first model. Cross-Cutting Stack (applies across all use cases) ● ERP Connectivity: Make.com Enterprise, Zapier for Enterprise, Workato, MuleSoft, or cloud-native iPaaS tools ● Data Platform: Snowflake, BigQuery, or Databricks Lakehouse with dbt for modeling ● Model Hosting: Vertex AI, AWS SageMaker, or Databricks Model Serving ● LLM Layer: OpenAI GPT-4o/4.1 for reasoning, quoting, and documentation ● BI & Dashboards: Power BI or Tableau ● Orchestration & Observability: Prefect, Airflow, Monte Carlo, or Soda ● Security & Identity: Azure AD/Okta, AWS Secrets Manager, Azure Key Vault AI-Driven Dynamic Pricing Engine ● Goal: Margin-optimized prices that react to cost and demand shifts. ● Build: Data feeds from commodity APIs, supplier price lists, ERP costs, and order history. Gradient-boosted or elastic net models for elasticity + margin/volume tradeoffs. Guardrails for min margin/max discount bands. ● Stack: Workato/MuleSoft for integration; Snowflake + dbt; Vertex AI or Databricks for modeling; GPT-4o for explanations. Smart Quotation Generator (AI-Powered CPQ) ● Goal: Quotes in minutes, not days. ● Build: CPQ core via Salesforce CPQ, PROS Smart CPQ, or Tacton CPQ. AI assist with GPT-4o for requirements parsing and proposal drafting. Feasibility check against ERP/MES. ● Stack: ERP link via Make.com/MuleSoft ; Vector DB (pgvector/Pinecone) for retrieval; PandaDoc/DocuSign for e-sign; policy guardrails with OPA. Win-Rate Optimization Engine ● Goal: Predict close probability and recommend deal adjustments. ● Build: Features from customer segments, discounts, competitors, lead times, and history. XGBoost/LightGBM models with SHAP for explainability. ● Stack: Data in Snowflake + dbt; Vertex AI or SageMaker; Arize for monitoring; GPT-4o for sales-facing insights. Profitability Scoring for Custom Orders ● Goal: Flag unprofitable deals before quotes go out. ● Build: Simulator pulling BOM, routings, labor, setup, and scrap costs from ERP/MES. ML risk layer for one-offs, small-lot penalties, expedite freight. ● Stack: ERP/MES integration via MuleSoft; Databricks for cost simulation; CPQ workflow approvals; GPT-4o for rationale and alternatives. Real-Time Competitor & Market Quote Benchmarking ● Goal: Contextualize quotes vs. competitors/market. ● Build: Ingest competitor catalogs, distributor feeds, tender portals. Use GPT-4.1 with structured schema for normalization. ● Stack: ScrapingBee/Diffbot for acquisition; Snowflake/BigQuery for storage; Tableau/Power BI dashboards; CPQ sidebar with market deltas. Common Pitfalls to Avoid ● Avoid custom-rolling CPQ when PROS/Tacton already solve complexity. ● Avoid LLM-only pricing without guardrails. ● Avoid one-off scripts with no lineage/observability. ● Avoid direct ERP writes without staging/validation. Recommended Deployment Order (90-Day Sprint) Data foundation + governance CPQ uplift + Dynamic Pricing Win-Rate model + Sales Coaching Profitability Simulator Competitor Benchmarking Compensation The base pay range for this role is $70 – $70 per hour.