Vetted Cross-Functional Collaboration Professionals

“15-year Talent Acquisition leader in the airline industry who has run large, high-volume recruiting operations (6,000–8,000 hires/year) across airport ops, maintenance, IT, and inflight roles. Known for rebuilding TA workflows and ATS operations (iCIMS) to automate communications and improve compliance transparency—cutting onboarding from 6 to 2 weeks and improving time-to-fill—while also delivering multi-source Power BI KPI dashboards and leading change management for major ATS transitions (Taleo to SAP SuccessFactors).”

“Deloitte consultant who led cross-functional teams delivering a Snowflake/AWS data ingestion, warehousing, and analytics platform, with a strong track record of executive alignment and risk mitigation. Built reusable business-development accelerators (including an end-to-end Appian app and a Java integration-config tool) credited with helping secure $75M+ in contracts, and has high-confidentiality experience consulting for DoD and FDA.”

“CIO-level technology leader (most recently at Sovos) who owned the full tech roadmap across product, infrastructure, and corporate IT, scaling engineering across 14 countries with an architectural review board and standardized security/observability. Hands-on in high-severity incidents (ransomware) while managing executive/client communications, and drove a reported 40% product-velocity lift by adopting AI code assistants and agentic AI (Devin) alongside Kubernetes + Bottlerocket for secure scalability.”

Christy Tuescher

Screened ReferencesStrong rec.

Director-level Talent Acquisition leader specializing in global workforce strategy

Cary, NC20y exp

“Recruiter with hands-on full-desk experience leading complex executive and engineering searches, including a VP of AI and Engineering hire. Stands out for using AI sourcing tools, funnel and cycle-time analytics, and market compensation data to unblock searches, influence hiring teams, and close difficult offers.”

“Product-minded frontend/UX leader with notable experience at CNBC, where they owned premium subscription and engagement flows from problem definition through production and post-launch iteration. They stand out for combining high-polish React implementation, Figma-driven systems thinking, and AI-assisted prototyping to quickly ship and refine conversion-focused experiences.”

“Built and shipped a production agentic LLM tool that helps internal teams update technical product whitepapers using plain-language edit requests, with strong guardrails (citations, verification, refusal/clarify flows) to reduce hallucinations and maintain compliance. Experienced taking LLM workflows from rapid LangChain prototypes to more predictable, debuggable LangGraph agent graphs, and orchestrating end-to-end ingestion/embedding/indexing/eval/deploy pipelines with Kubeflow.”

Vigynesh Bhatt

Screened ReferencesStrong rec.

Mid-level Software Engineer specializing in backend, cloud, and ML systems

Salt Lake City, UT4y exp

“Software engineer with experience across Goldman Sachs, BYU Broadcasting, Juniper Networks, and an edtech startup (Doubtnut), spanning data migrations, AWS-based media backends, and microservices observability. Built a Redis/ElastiCache caching layer in front of DynamoDB/S3 to improve media delivery latency and cost, and created an SEO indexing automation tool using the Google Search Console API that saved ~15–30 person-hours per day.”

George Villacis

Screened ReferencesStrong rec.

Mid-level Business Development Manager specializing in financial data for VC/PE

New York, NY6y exp

“Sales/business professional from PitchBook who managed a high-volume pipeline (50–100 opportunities) and drove hundreds of thousands in new business while simultaneously leading cross-functional initiatives, including a product/data dataset implementation and ERG (La Cultura) campaigns. Strong in executive alignment, operational tooling (Salesforce/Asana/Excel), and handling sensitive information with discretion.”

“Seasoned global CTO and executive leader with 20+ years of experience, including a $389M non-founder exit to a Fortune 10 acquirer. Now building a pre-seed AI-driven diagnostic imaging platform for pets with web and mobile products, beta customers, and a patent-pending solution aimed at saving pet lives.”

David Proctor

Screened ReferencesStrong rec.

Executive Enterprise Architecture & AI Strategy Leader specializing in modernization and agentic AI platforms

Colorado Springs, CO25y exp

“Technically and operationally oriented builder with startup ideas of their own, including an AI services firm in the ideation stage. Stands out for a practical understanding of venture studios and accelerators, with fluency in founder-market fit, MVP validation, hiring, and investor readiness, and a measured approach to going all-in only on high-signal opportunities.”

“Director of Engineering at Proofpoint for 8 years, leading architecture and integration of Java microservices within a detection platform. Demonstrates pragmatic delivery leadership—incurring short-term cost to meet launch deadlines, then systematically paying down technical debt and optimizing AWS spend—plus a disciplined, long-horizon approach to backward-compatible API/schema evolution across many dependent services.”

Jeremiah Medina

Screened

Senior AI/ML Engineer specializing in LLMs, RAG, and cloud-native MLOps

Orlando, FL11y exp

“Built and owned a real-time clinical AI assistant at Andor Health, taking it from prototype through deployment, monitoring, and iterative improvement. Brings strong healthcare-focused GenAI experience across RAG, hybrid retrieval, LoRA fine-tuning, and production Python services, with measurable gains in accuracy, speed, and reliability.”

“People/HR leader (HRBP-style) with strong compliance and change-management experience, including leading an FLSA exempt-to-non-exempt reclassification for SMB sales AEs and implementing time tracking/overtime in Rippling with zero compliance findings. Uses systems thinking and people analytics to redesign performance frameworks and reduce regrettable attrition (30% drop in two quarters), and coaches senior leaders using data-driven methods (GROW) to improve engagement and build leadership bench.”

“UE5 gameplay scripter/engineer who worked on player-facing weapon systems for Perfect Dark, owning Blueprint-driven state management, projectiles/damage, and player feedback with a strong focus on edge-case polish and responsiveness. Experienced in modular Blueprint architecture (inheritance-based) for scalable content, playtest/analytics-driven iteration, and performance optimization of gameplay loops (e.g., reducing runtime NPC tracking for a disguise gadget).”

“Product-focused operator with ~20 years experience helping both large companies and newer market entrants launch successful products, with a strong emphasis on disciplined product-market fit in emerging markets. Has personal investing exposure as an LP in two private funds and is researching seed-stage angel investing, and is motivated to found a consumer/software venture built with lean execution and clear defensibility.”

Ahmed Elias

Screened

Director-level Talent Acquisition Leader specializing in global technical recruiting

14y exp

“Talent Acquisition leader who scaled a LATAM recruiting team to 17 and led major operational transformations at Amazon, including onboarding a workforce tracking tool across a ~20K employee population in BR/MX/CR. Known for hands-on confidential executive searches and for building a standardized SDE interview-prep program that materially lifted conversion rates (TPS 23%→46%, onsite 13%→33%) while freeing significant recruiter capacity.”

Frank Goodman

Screened

Executive Engineering & Product Leader specializing in Cloud/SaaS observability and security

San Jose, CA31y exp

“Product/technology leader with deep security and cloud infrastructure expertise who drove a major shift from hardware-based networking/security appliances to cloud-native capabilities, growing cloud revenue from $0 to $400M in 4.5 years. Led an innovative eBPF-based approach (“precryption”) to enable lightweight cloud TLS interception/decryption, and has hands-on coding interest (recent Rust work on a personal cybersecurity identity/trust platform).”

Yiteng Xu

Screened

Director of Lab Automation specializing in high-throughput assays and NGS workflows

South San Francisco, CA9y exp

“Joined Arsenal into a leadership vacuum (manager fired, only engineer left) and still launched a screening project in 4 weeks while defining team direction. Built an 11-person automation org spanning assay development, engineering, and operations, implementing OKRs/retrospectives/dashboards and navigating major pivots (including a partner pullout) while maintaining delivery and retention.”

“Recruiting leader with experience in both large-scale financial institutions (Morgan Stanley/JPMorgan) and a high-growth fintech (CAIS), including managing a 12-person recruiting team and staying hands-on with executive searches. Led a high-visibility Director of Finance search reporting to the President and drove process modernization by implementing AI tools (BrightHire, Metaview) to standardize interviews and improve sourcing. Regularly partners with HRBPs and C-suite leaders on restructuring, compensation alignment, and strategic talent pipeline programs (internship redesign with intern-to-FT conversions).”

“AI/LLM engineer who built and productionized an internal RAG-based knowledge system that ingests diverse sources (PDFs, Markdown, Slack), scaled retrieval with distributed FAISS and parallel ingestion, and reduced hallucinations via re-ranking, grounding prompts, and post-generation validation. Also has hands-on orchestration experience with Airflow and Kubernetes for reliable ETL/model pipelines, monitoring, and staged rollouts; reports ~15% accuracy improvement and adoption as the primary internal knowledge tool.”

“Senior Technical Recruiter with 15 years’ experience (including 3 years people management) at Amazon, partnering closely with business, finance, and HR on headcount planning, approvals, and hiring strategy. Known for operational problem-solving—redesigned a stalled Solutions Architect workflow (JD + interview panel) to cut time-to-fill to 67 days—and for scaling hiring under pressure (350 hires/quarter) while maintaining quality standards.”

Johnny Davis

Screened

Senior Enterprise Customer Success Manager specializing in SaaS adoption and digital transformation

San Jose, CA18y exp

“Enterprise Customer Success leader (10+ years) with experience at Zscaler and supporting Fortune 500 customers, driving high adoption and renewals through metric-driven governance and executive stakeholder management. Known for cross-functional incident leadership (including coordinating with Apple and Product to ship a patch) and for enabling significant expansions (e.g., $600k+ add-on before renewal and a $750k DLP deal) while building Salesforce Marketing Cloud/CRM analytics and enablement tooling.”

Patrick Jose

Screened

Senior AI Engineer specializing in LLM applications and full-stack systems

San Francisco, CA8y exp

“Built and owned a production LLM/RAG customer support assistant end-to-end, from prototype through deployment, monitoring, and iteration. Their work automated roughly 40% of common support queries and cut response times by about 30%, while also creating reusable Python inference services that improved consistency and team velocity.”

“Atlassian ML/AI engineer who has shipped end-to-end production systems combining classical ML, streaming infrastructure, and LLM-based personalization to improve onboarding and free-to-paid conversion. Particularly strong in turning research-style RAG and reranking ideas into low-latency, reliable product systems with robust evaluation, safety guardrails, and reusable platform services for other teams.”