Vetted Reporting Professionals

“AppSec-focused customer advisor with hands-on experience integrating SAST/DAST/SCA into production CI/CD (Azure DevOps) and designing secure agent/scanning deployments in AWS (least-privilege IAM, private subnets, VPC endpoints). Demonstrates strong incident troubleshooting using logs/metrics/traces to diagnose load-related failures (timeouts/retry storms) and drive durable fixes, while tailoring risk/tradeoff communication across engineering, security, and leadership stakeholders.”

“Revenue Ops-aligned sales development professional from Opto 22 who builds CRM dashboards and integrates AI (Claude + HubSpot) to identify under-penetrated and dormant accounts, then runs targeted outbound to uncover expansion pipeline. Reported results over the last 2–3 quarters include 70+ qualified conversations, 40+ meetings with sales engineering, and 200+ SQLs/opportunities moved into pipeline, including a re-engaged dormant customer that purchased $30K after LinkedIn outreach.”

Chris Deringer

Screened

Executive Marketing & Growth Leader specializing in SaaS and automotive digital marketing

Derwood, MD24y exp

“Growth-stage operator/CMO who helped scale DealerOn from 12 people and $1M to 800 people and $125M, building SEO/digital ads products, client success operations, and multi-source performance dashboards. Led a thought-leadership marketing engine with Google/Facebook partnerships and implemented Salesforce-based acquisition campaigns; experience optimizing onboarding and retention across different customer segments (auto dealers, law firms, home services).”

Jesus Pesina

Screened

Director-level Talent Acquisition & Recruiting Operations Leader for Federal and Enterprise programs

Chicago, IL24y exp

“Senior recruiting leader currently at Deloitte (previously Marriott) with experience managing large full-cycle recruiting teams (up to 30). Known for implementing structured intake/decision standards that cut time-to-fill by ~20 days and for partnering closely with HRVPs and executive stakeholders to align expectations with market realities and drive hiring decisions.”

Lena Bell

Screened

Senior HR & People Operations Partner specializing in talent development and HR systems

Charlotte, NC8y exp

“Talent Acquisition Recruiter from AWS with experience owning full-desk, high-volume technical and professional hiring at scale. Stands out for supporting 80–100 monthly hires, using Oracle and Cornerstone to manage pipeline health, and acting as a data-driven partner to hiring managers in fast-moving remote recruiting environments.”

“Serial entrepreneur with 15+ years in the VC, studio, and accelerator ecosystem who has founded multiple startups, raised capital previously, and built a consulting business running since 2008. Currently building a pre-seed SaaS marketplace for long-term housing in Texas with plans to expand across the U.S. and into Portugal, bringing a notably strategic focus on long-term market trends and exit planning.”

Abraham Musa

Screened

Senior Solutions Architect specializing in cloud AI infrastructure and security

Union City, NJ9y exp

“Cloud-native architect focused primarily on AWS, with experience designing Kubernetes and AI/ML infrastructure for customers rather than owning day-to-day operations. Particularly interesting for AI platform roles: they described using Amazon Bedrock to analyze Terraform and automatically generate compliant IaC templates and runbooks for new multi-cloud AI environments.”

“GenAI/LLM engineer who architected and deployed a production RAG “research assistant” for JPMorgan Chase’s regulatory compliance team, focused on safety-critical behavior (mandatory citations, refusal when evidence is missing). Deep hands-on experience with LlamaIndex, Pinecone, Hugging Face embeddings, LangGraph agent workflows, and metric-driven evaluation (golden sets, TruLens), including a reported 28% relevancy lift via cross-encoder re-ranking.”

“Applied ML/LLM engineer currently building AppleCare’s production chat recommender, owning the full lifecycle from transcript cleaning and fine-tuning through distributed deployment, monitoring, and iterative improvement. Their work delivered >10% copy-count improvement, 5% lower modification rate, 60% cost reduction, and $1.1M profitability in 2025, and they also created a reasoning-data generation approach that enabled a reasoning model and a judge model that cut eval time by over 99%.”

“Performance marketing and ad operations specialist who owned an Eli Lilly high-spend account ($75K–$150K/month), running campaigns across GAM, FreeWheel, and Operative One. Focused on disciplined pacing, trafficking/QA, and cross-system reporting reconciliation to hit 100% in-full delivery, stabilize CPA mid-flight, and avoid makegoods or billing escalations.”

Nicholas Johnson

Screened

Senior Recruiting Operations & Analytics professional specializing in high-volume technical hiring

Brentwood, CA10y exp

“Full-cycle recruiter who recently led a hard-to-fill technical search at AMS.net, driving the process from hiring manager intake through offer acceptance. Leverages market data and compensation benchmarks to realign stakeholders, optimize title/JD and outreach messaging, and keep pipelines moving with tight feedback SLAs and metric-driven cadence.”

“Performance marketer from Unilever with hands-on ownership of a sizable multi-platform paid media portfolio across Google, Meta, TikTok, and YouTube. Stands out for combining rigorous experimentation, LTV-based audience segmentation, and incrementality testing to improve ROAS, lower CPA, and restore growth when campaigns plateau.”

“Operations- and systems-minded candidate with experience improving hospital billing workflows and automating a campus package pickup/drop-off system that streamlined operations for 400 students and 20 student workers. While they do not have direct outbound prospecting experience, they articulated a thoughtful, research-driven framework for building an SDR pipeline engine from scratch.”

“GenAI/ML engineering leader (player-coach) who built and deployed an image-to-text production system for topology/resource diagrams, combining YOLO-based issue detection with an LLM to generate support-ready reports at scale. Heavy AWS stack (SageMaker, Step Functions, Lambda, CloudWatch, FastAPI, Kubernetes/Docker) with KPI-driven optimization (MTTR, P50), including ~21 custom labels and reported 30–50% faster issue identification while processing thousands of images in production.”