Vetted Stakeholder Management Professionals

Daniel Goyeneche

Screened

Director-level Talent Acquisition leader specializing in global, high-volume and technical recruiting

Morris Plains, NJ17y exp

“Talent Acquisition leader (Director-level) with 6+ years managing recruiter teams (2–14, including managers) across geographies and offshore/US delivery. Has partnered directly with C-suite during Series C workforce planning to identify org gaps and build hiring plans, and has driven ATS/process transformations in iCIMS (workflow redesign, automations, and KPI/dashboard revamps) to standardize recruiting operations.”

Navindu Jayatilake

Screened

DevOps Technical Lead specializing in Kubernetes, AWS, and platform engineering

Colombo, Sri Lanka6y exp

“Sri Lanka–based DevOps/Platform engineer focused on Kubernetes and AWS who has led real production incidents and recoveries (network-policy-induced asymmetric routing; node pool failure due to CNI upgrade). Built production CI/CD with GitHub Actions (ephemeral self-hosted runners on EKS), ArgoCD, Vault, and Terraform, and led a phased ECS-to-EKS migration including Kafka consumers and MongoDB Atlas private endpoints.”

Kathleen Sanchez

Screened

Senior Talent Acquisition & HR Operations Leader specializing in healthcare and financial services

Irving, Texas8y exp

“Recruiting Operations leader who has owned the full recruiting lifecycle (intake/workforce planning through ATS, metrics, and onboarding handoff) and managed teams of 5–12. Notably redesigned Standard Bank Group’s graduate hiring process for ~10,000 applicants, cutting time-to-hire by 15% and improving candidate experience, and currently supports urgent RN/LVN hiring in home health with standardized credentialing and compliance workflows.”

“QA leader with end-to-end ownership of a web-UI automated B2B pricing platform at Cargill, known for using defect trend analytics (Jira/Jira AI) to uncover systemic config/integration risks before UAT/production. Implemented durable CAPA controls (config-change impact assessment gates) and improved release transparency with Copilot-generated Confluence readiness dashboards; cites 15% logistics cost reduction and 60% operational efficacy improvement. Also coordinated cross-shore QA teams across multiple countries with structured cadences and escalation paths.”

“Data engineer with Optum experience building end-to-end healthcare data pipelines for HL7/FHIR, processing millions of records daily across Kafka streaming and Databricks/Spark batch. Strong focus on data quality (schema enforcement/validations), reliability (Airflow monitoring/alerts), and analytics-ready serving in Snowflake powering Power BI/Tableau, with CI/CD via Git and Jenkins.”

“Analytics professional with higher education experience at the University of Dayton, focused on turning inconsistent operational data into standardized metrics and recurring dashboards. They combine SQL, Python, and Power BI to automate reporting, improve data integrity, and reduce manual reporting by 30%, with outputs adopted in semester planning and cross-department performance tracking.”

“Built both traditional internal tooling and LLM-powered systems during an internship, including a React/Python/AWS calculator onboarding platform and a production-style ROS2 RAG assistant over 10K+ documents. Stands out for combining full-stack delivery, stakeholder coordination, and practical AI reliability work like retrieval tuning, source-grounded answers, and low-confidence fallbacks.”

“Sales leader with deep North American public sector SaaS experience spanning government, municipalities, and adjacent nonprofit segments, including payments/FinTech monetization. Stands out for combining large-scale new ARR ownership ($27M target), measurable retention improvement (cut churn from 13% to 7%), and a track record of building new-market teams from scratch to multi-million-dollar ARR outcomes.”

“GMP CQV/validation professional with hands-on experience qualifying HVAC, purified water, and utility systems in manufacturing environments. They have supported capital projects from design review through commissioning and turnover, with strong ownership of URS, RTMs, IQ/OQ/PQ, deviations, and summary reports, plus practical field troubleshooting during OQ execution.”

“Backend/AI engineer who has owned production agentic systems end-to-end, including a CRM-integrated multi-agent financial workflow at Wow Payments that cut latency by 83% and achieved 98% uptime. Also built an AI real estate product ('Site IQ') by turning vague stakeholder goals into a geospatial autonomous agent using RAG, rapid prototyping, and tight validation layers around GPT-4 outputs.”

“CRM and retention marketer with 4+ years of experience across leading Indian consumer and D2C brands including My11Circle, Nykaa, and Croma. Brings hands-on multi-channel lifecycle expertise across email, WhatsApp, SMS, RCS, and in-app, with end-to-end ownership of promotional and retention journeys and a cited 28% lift in repeat purchases from a replenishment campaign.”

“Product and UX leader with experience launching a new direct-to-consumer ecommerce channel inside an enterprise business and later optimizing it to double revenue and conversion. Also built early AI-assisted workflows in regulatory/risk software, with a strong emphasis on trust, human oversight, and adapting quickly to new domains through first-principles product thinking.”

Sanket Mungikar

Screened

Mid-level Software Engineer specializing in distributed backend and AI analytics platforms

California, USA4y exp

“Full-stack engineer at BigCommerce who combines customer-facing deployment ownership with hands-on AI/LLM systems work. Built and launched merchant analytics and predictive inventory workflows using React, TypeScript, FastAPI, Kafka, AWS, and RAG-style architectures, and has real production experience debugging non-deterministic AI issues caused by data pipeline freshness and event-ordering problems.”

“Product leader with 20 years of experience across startups and agencies, including leading the end-to-end rebuild of Filmik, an AI-enabled workflow platform for film and television production teams. Stands out for combining deep UX simplification instincts with human-centered AI thinking, using automation to reduce friction while preserving trust, control, and collaboration. Has also built and mentored globally distributed product, design, engineering, and delivery teams across multiple regions.”

Ariel Davis

Screened

Senior editorial and executive operations leader specializing in media production

New York, NY15y exp

“Operator with roots in executive operations and content/publishing who has supported major corporate milestones at The Knot, including China office expansion and the NASDAQ-to-NYSE transition. Combines investor-facing communication, budget ownership, and startup-style initiative—having pitched a shopping app and begun an MVP—with proven process redesign that increased on-time promotional visibility by 80% and boosted sales.”

“Principal-level product leader with deep experience rebuilding complex enterprise platforms in fraud prevention and HR tech. Stands out for unifying siloed acquired products into a single API-driven platform at TransUnion, pairing strong commercial outcomes ($400K early revenue, $2M projected cost savings) with thoughtful human-centered AI work including chatbots, RAG, and an AI copilot for fraud investigators.”

“Product leader in education and assessment who led a major TOEFL iBT transformation, combining global stakeholder alignment, adaptive testing, and human-in-the-loop AI scoring/content systems. Also brings large-scale people leadership experience, having managed a 1,300-instructor cybersecurity training operation while launching adjacent programs in digital marketing, AI, and software development.”

“Product leader with experience rebuilding teams and platforms in both healthcare and AI-enabled SaaS environments. Most notably rebuilt Uniform Teeth’s product organization, EMR, and patient app after a restructuring, contributing to major clinical efficiency gains and the company’s acquisition by Impress in 2022. Brings a strong human-in-the-loop AI philosophy, plus experience leading PMs, design, and engineering through high-change environments.”

“Startup operator and co-founder who helped build SmartSquash AI from pre-product, pre-revenue stage to $600K ARR in 2 months, 125+ club pilots, a PSA enterprise analytics partnership, and a $1.4M acquisition. Brings a rare mix of 0-to-1 product/GTM execution and trust-sensitive AI deployment, plus process improvement experience at Microsoft that drove major efficiency and cost savings.”

“Unity/C# developer from an educational live-service product who spent 5 years shipping across desktop, VR, and mobile while building systems spanning localization, multiplayer, AI-driven avatar experiences, and accessibility. Particularly notable for owning a Lokalise-to-Unity I2 localization backend still in use today and helping lead a major Photon PUN to Fusion migration.”

“Montreal-based MBA (Queen’s University) with experience in sports/creator talent representation and growth marketing. Sourced athlete creators through research and LinkedIn outreach, helping facilitate signings and tracking success via social analytics and campaign performance. Also worked as a pricing analyst in the secondary sports ticket market, using historical data to optimize purchasing toward high-return games.”

“Built a web-based online Sudoku game in JavaScript (multiplayer format supporting up to 6 teams with up to 5 players each) and demonstrates strong product/analytics orientation. Uses a KPI-driven approach (DAU/WAU, ARPU, session duration, LTV) and structured prioritization methods (MoSCoW, story mapping, cost of delay, DFV) to iterate toward targets; seeking a remote role around $70k/year.”

“React performance-focused engineer who contributed performance patches back to an open-source context+reducer state helper after profiling and fixing excessive re-renders in an enterprise project management platform at Easley Dunn Productions. Also built an end-to-end LLM-driven pipeline at Prime Healthcare to normalize millions of supply-chain records, reducing defects by 80% and saving 160+ hours/month.”

“AI/LLM engineer with recent production experience at UnitedHealth Group building an end-to-end RAG system over structured EMR data and unstructured clinical notes, including evidence retrieval, GPT/LLaMA-based reasoning, and a validation layer for reliability. Strong in orchestration (Kubeflow/Airflow/MLflow), prompt engineering for noisy healthcare text, and rigorous evaluation/monitoring with gold-standard benchmarking, plus close collaboration with clinical operations stakeholders.”