Vetted Stakeholder Management Professionals

“People-operations and L&D operations builder who helped a young organization (TGH-USF People Development Institute) standardize workflows using a People-Process-Platform approach. Implemented scalable policies and centralized intake systems (web forms) and partnered closely with HR/payroll to resolve vendor/facilitator payment delays. Known for coaching executives without ops backgrounds by translating operational concepts into clear, practical language.”

“Marketing leader who has repeatedly been the first marketing hire, building the function from scratch while aligning sales, product, and leadership around shared positioning and goals. Strong in marketing ops and executive analytics—integrated multiple data platforms to track the full customer lifecycle (CLV, renewals, attribution) and drive KPI-focused decision-making while reducing reliance on vanity metrics.”

“AI engineer with production experience building a LangGraph-based, stateful multi-agent system at MetLife to automate complex insurance claims adjudication, integrating document discovery, Azure Document Intelligence OCR/extraction, and health data analysis. Strong in agent orchestration and production deployment (Docker + FastAPI REST APIs), with a structured approach to reliability, evaluation, and stakeholder-driven requirements.”

“Operations/project management professional with hands-on experience leading a company-wide office consolidation (3 floors to 2), coordinating across IT, HR, marketing, facilities management, and movers while maintaining executive alignment. Strengths include building clear communication systems (templates, trackers, EA cadences) that improve executive decision-making and managing sensitive initiatives such as layoff logistics with strict confidentiality.”

“Customer-facing enterprise sponsorship/advertising professional who owns campaigns end-to-end (kickoff, timelines, weekly reporting, wrap decks) and drives renewals/upsells through performance insights. Known for operational rigor and cross-functional issue resolution (including fixing a sold-out newsletter sponsorship conflict) and for using ChatGPT to streamline asset workflows and build an industry trend tracker that directly supported expansion deals.”

“Software QA professional (non-gaming) with strong end-to-end release and production support experience in Agile environments. Led a large QA effort migrating customers from a legacy application to a new platform, owning test scope, deployment coordination, release sign-off, and issue troubleshooting. Known for evidence-rich bug reports (API-driven repro, logs/devtools) and disciplined tooling/documentation across Azure DevOps, Jira/Rally, and Confluence.”

“Enterprise healthcare SaaS implementation and customer success leader focused on OR/clinic scheduling optimization, owning end-to-end deployments from discovery through training, adoption, and renewal across multi-hospital systems. Strong analytics/ROI storytelling (Tableau/Looker, QBRs) linking AI-driven outreach and block release workflows to increased case volume and improved block utilization, and experienced partnering with Product/Sales to resolve integrations and drive roadmap/upsell outcomes.”

“Former Cloud Engineer at Indivior (laid off in January) now focused on entrepreneurship; owns multiple businesses including a SaaS product with iOS and Android apps (strive.gifts). Has not raised funding yet and is considering raising working capital to hire full-time backend and UX/UI developers.”

John Boyle

Screened

Executive Construction & Infrastructure Leader specializing in heavy civil design-build and transportation

Palo Alto, CA18y exp

“Former COO turned President at United Infrastructure Group who helped scale the company from $80M to $450M in revenue (100 to 900 employees) while building an integrated operations/finance operating system using COINS, Power BI, and custom modules. Known for data-driven operational diagnostics (audited financials, project benchmarking) and for leading complex system integrations (including COINS + Tenna) to deliver real-time dashboards and measurable efficiency gains.”

Tatiana Letang

Screened

Mid-level Marketing & Communications Manager specializing in digital campaigns and content strategy

Brantford, ON, Canada6y exp

“Marketing & communications leader in the nonprofit/community ecosystem with hands-on experience closing brand partnerships, running online events, and executing segmented GTM campaigns. Demonstrated measurable impact (e.g., 100% engagement lift from an annual contest partnership; personal network driving 25% of attendees for a SickKids fundraiser) and a data-driven approach to growth via first-party data capture and localized newsletter personalization.”

Asanti Mokwala

Screened

Junior Data & Insights Analyst specializing in BI, dashboards, and automation

Remote3y exp

“Worked on taking an LLM-based system at Soundmakr from prototype to production by adding prompt constraints, validation/guardrails, deterministic ranking, and robust logging/monitoring with feedback loops. Also partnered with product/marketing during an internship on Thea: Study Smart to analyze onboarding drop-offs and run A/B tests on AI-driven flows, translating results into actions that improved retention and conversion.”

Larry Tuck

Screened

Executive Technology Leader (CTO/VP) specializing in Healthcare IT, Security & Enterprise Integrations

Palmer, AK19y exp

“Candidate indicated they have an existing startup but have not raised capital. They expressed strong concerns about AI-enabled social engineering and ended the screening due to perceived irrelevance of the startup-focused questions to the job.”

PAVEL A ASPIAZU

Screened

Senior Paid Media (SEM/PPC) Manager specializing in Google Ads and Meta performance marketing

McLean, VA26y exp

“Paid media performance marketer with agency experience owning a high-spend account for ArcPoint Labs, running multi-channel Google Ads (search/display) and Meta campaigns to drive medical testing appointments and sales. Reported lifting ROAS from ~2x to ~6–7x within ~18 months while supporting expansion from 30 to 60 U.S. locations, using disciplined attribution, constant A/B testing, and structured campaign health audits.”

“Built a production LLM-assisted workflow for customer configuration data migrations, combining agentic parsing with deterministic validation and fail-safe pipeline design. Stands out for turning messy ERP and operational data into reliable, repeatable transformations while improving accuracy and cutting manual effort by more than 80%.”

“Backend-focused engineer with banking-domain deployment experience who has owned releases end-to-end, from discovery and API/database implementation through post-launch stabilization. Brings a reliability-first mindset across distributed systems, incident response, and messy real-world data handling, and has also applied that foundation to retrieval-based LLM workflows in production-oriented cloud environments.”

Chaitanya Annabathana

Screened

Mid-level Software Engineer specializing in AI pipelines and enterprise integrations

USA5y exp

“Candidate has 4 years of experience and appears strongest in customer-facing implementation and AI-enabled workflow automation. They describe owning deployments end-to-end, putting an LLM support assistant with RAG and function calling into production, and improving support operations with a 30% reduction in resolution time and 25% gain in agent productivity.”

Austin Pierce-Ptak

Screened

Mid-level Software Engineer specializing in full-stack and ETL systems

Seattle, WA5y exp

“Backend engineer with end-to-end ownership experience across enterprise SaaS and high-volume data systems, including PostgreSQL/.NET services at Visual Lease and ETL pipelines at Broadridge processing millions of records for Fortune 500 clients. Stands out for combining production support, observability thinking, and pragmatic architecture tradeoffs, while also experimenting with LLM-powered job application automation using Claude.”

“Commercial leader with 19+ years across telecom, enterprise tech, SaaS, AI, fintech, and digital transformation, combining sales, GTM, operations, and software delivery leadership. Particularly strong in launching and commercializing early-stage offerings across international markets, including ConnectDevs, Codifica.ai, and Fennix, with roughly $750K in new revenue generated within three quarters.”

“Backend/cloud engineer who built an AWS serverless IoT system that computes Bluetooth beacon locations from telemetry using heavy scientific Python (NumPy/SciPy/pandas) packaged as Dockerized Lambda, integrated with Java microservices and scheduled batch orchestration. Has deep AWS delivery experience (CI/CD with Code* tools, CloudFormation, cost controls) and has led high-severity incident response including CloudTrail forensics and infrastructure recovery after a compromised-keys crypto-mining attack.”

“Product leader and founder/co-founder type who helped build AI products from concept through pilot, including Mira, an AI-powered tourism platform that reached 60K users and 12K engagements during a Tuscany pilot. He appears especially strong at translating between executives and technical/design teams, structuring cross-functional delivery, and applying human-centered AI principles in education through a RAG-based K-12 tutoring product, TUUTOR.”

“Chief of Staff/operator who joined venture-backed startup Blockless at the pre-seed stage and built the operating system from scratch while acting as the founder’s right hand. Combines startup execution, fundraising support, and deep Web3/DeFi domain fluency, including helping close a $3.5M seed round ahead of schedule with clean diligence materials.”

“B2B GTM and partnerships professional from Canon Canada who coordinated multi-technology partner ecosystems (IRIS, Therefore, Artsyl) to launch Intelligent Pay, driving a 40% lift in qualified leads and 60% growth in qualified opportunities. Known for tight cross-functional execution and data-driven optimization, including creating a 5-year ROI calculator that improved webinar engagement and post-event demo conversion.”

“CoreAI intern at The Home Depot who improved the Magic Apron Assistant by building a production video ingestion + RAG retrieval system for long videos (uploads and YouTube), including a graph-based retrieval module to speed up and improve relevance. Experienced with Kubernetes orchestration (HPA) and production reliability practices like caching, monitoring, regression testing, and stakeholder-driven requirements.”

“ML/MLOps practitioner from Discover Financial who built and deployed a real-time AI fraud detection platform (LSTM + VAE) on AWS SageMaker with Docker/FastAPI and Jenkins-driven CI/CD. Demonstrated measurable impact (30% accuracy lift, 25% fewer false alerts) and deep expertise in class-imbalance mitigation, drift monitoring, and orchestration (Airflow/Kubeflow), plus strong stakeholder adoption via Power BI dashboards for fraud/compliance teams.”