Vetted Inventory Management Professionals

“Architect/product owner/lead developer who built high-scale ERP supply chain and inventory transaction capabilities (including order-to-order pegging) with strong performance tuning in Postgres and robust monitoring/reprocessing dashboards. Also led product for an enterprise agentic development platform using LLM integrations to generate user stories, data models, workflows, and RBAC-secured applications, with sandboxing and promotion guardrails plus UAT across technical and non-technical personas.”

“Chief of Staff to the family of Kevin Scott (CTO of Microsoft), serving as the first CoS to unify previously siloed teams and build an operating cadence for executive decision-making. Experienced running high-stakes, high-security events including a Presidential fundraiser/President Biden visit, coordinating with the presidential advance team and Secret Service while protecting principal priorities and privacy.”

“Merchandising/sourcing professional from World Market with deep experience building and optimizing home/fashion partnerships end-to-end—using tariff-driven margin pressure to shift sourcing outside China while maintaining design elevation. Highly metrics-driven across OTB, SKU productivity, margin/IMU, full-price sell-through, attachment rate, and digital conversion, and comfortable managing 50+ vendor negotiations simultaneously.”

“Operations leader with repeated startup/entrepreneurial experience building internal operating systems from the ground up—creating department-by-department SOP/policy manuals and implementing KPI-driven management. Strong in diagnosing issues via operational/financial data and rolling out scalable people systems (structured interviews, training/certifications, onboarding) with retention measured across 14/30/60/90-day cohorts.”

“Operator/program leader from Keyo who builds the “operating backbone” for fast-moving teams—OKRs/KPIs, dashboards, SOPs, and tight decision cadences. Led end-to-end initiatives spanning supply/delivery stabilization, finance reporting/forecasting inputs, vendor alignment, and company-wide SOC 2 Type II compliance with centralized audit evidence.”

“Fashion buyer/category manager with end-to-end ownership of Shopbop’s evening business, using Excel-driven classification and pricing tier analysis to uncover demand opportunities and deliver +20% above annual sales target on higher margin. Experienced negotiating vendor sell-through agreements (e.g., Marchesa Notte) and using RTV to reduce inventory risk while maintaining full-price selling; also has a track record coaching buyers to drive incremental revenue (e.g., $350K unplanned full-price sales via an exclusive delivery).”

Aarush Monga

Screened

Intern Portfolio Strategy & Sourcing professional specializing in supply chain analytics

New York, USA3y exp

“Sourcing/NPI leader with hands-on expertise in should-cost modeling and contract negotiations (including exclusivity and lifecycle cost-downs), leading supplier onboarding through industrialization and SOP. Demonstrated proactive trade/duty risk mitigation by driving a phased localization plan that reduced part costs by 15% then an additional 20%, and has a track record of turning around underperforming suppliers to stabilize samples and improve OTD.”

Akarsh Kangondi Lokanath

Screened

Junior Supply Chain Planner specializing in inventory, replenishment, and procurement analytics

Chicago, IL3y exp

“Sourcing/procurement professional from Pavana Impex who has owned end-to-end sourcing for production-critical materials, combining spend/demand analytics with hands-on supplier onboarding, negotiation, and production-to-delivery execution. Demonstrates strong trade and landed-cost acumen (HS classification/COO, broker coordination, packaging changes) and a structured approach to supplier performance improvement using scorecards, CAPA, and OTIF/OTD tracking.”

Kavyashree Sudhakar

Screened

Junior Business Analyst specializing in operations and banking workflows

Tempe, AZ2y exp

“Entry-level data/business analytics candidate with hands-on experience building SQL and Python workflows to clean fragmented subcontractor data, generate risk scores, and feed Power BI dashboards. Also demonstrated strong operational analytics impact at Amazon by defining and operationalizing process-quality metrics that reduced CPO rate from roughly 10% to 0.6%.”

shivapriya pillalamarri

Screened

Mid-level AI/ML Engineer specializing in financial analytics and production ML systems

Boston, MA4y exp

“Analytics candidate with experience in financial transaction and fraud detection projects, combining SQL data preparation, Python-based automation, and dashboarding. They have owned projects from stakeholder alignment and metric definition through rollout, with emphasis on reducing false positives, improving operational efficiency, and making analytics outputs easy for business teams to adopt.”

“Enterprise-minded builder who has owned complex, high-impact systems from discovery through stabilization, including a customer master data platform at AB InBev serving 2,000 sales reps across 13 countries. Also demonstrates strong AI product instincts, having built a first-place ReAct-style NYC property intelligence agent at IBM's AI Demystified Hackathon, while showing deep rigor in data quality, integrations, and production reliability.”

Shane Howard

Screened

Executive technology and operations leader specializing in consulting, SaaS, and digital transformation

Salt Lake City, UT32y exp

“Serial operator and founder with four exits, including a recent business sale after raising $750K, and experience leading 17 acquisitions. Has held CEO, CIO, and global delivery/operations leadership roles across VC-backed, PE-backed, and high-growth companies, with a strong track record in GTM, operational scaling, and building repeatable cross-functional systems for growth and exit.”

“Built Nexthire-AI, shipping an end-to-end LLM-powered resume–job description matching product (React + Node.js) using embeddings and retrieval to generate match scores and skill-gap recommendations. Improved post-launch engagement by making feedback cleaner and more actionable, and added production guardrails (validation, timeouts, fallbacks) to handle messy resume formats and AI API instability.”

Lexi Wood

Screened

Senior Recruiter specializing in full-cycle, high-volume talent acquisition

13y exp

“Senior Recruiter at Gusto with 10+ years spanning agency recruiting ops and in-house TA, leading a CX Invite team and coaching 3–5 recruiters. Known for scaling high-volume contact center hiring (20 hires/month) by redesigning interview workflows—cutting steps, introducing batch interview days, and driving measurable gains (candidate NPS +20, offer acceptance +10%). Experienced with Greenhouse, ModernLoop scheduling automation, LinkedIn Recruiter extensions, and Tableau recruiting dashboards.”

Kurt Balingit

Screened

Senior Digital Marketing Specialist specializing in demand generation and SEO/SEM

7y exp

“Performance marketer with hands-on ownership of high-spend acquisition programs, including managing ~50K/month at Backblaze across Google Ads and paid social while optimizing for trial-to-paid conversion. Built Protective's employee benefits paid media from scratch into a full-funnel LinkedIn + Google program, scaling spend ~300% YoY and improving lead quality through tighter targeting and keyword refinement.”

“Hands-on engineering manager/lead focused on Azure application deployments and CI/CD automation. Has led design sessions and 1:1 code reviews, and owned a production performance incident end-to-end from measurement and test-environment setup through production validation, while coaching team members via regular 1:1s.”

Vu Tran

Screened

Senior Product Manager specializing in 0–1 platforms, AI workflows, and product operations

Oakland, CA8y exp

“Customer success/product-facing operator from AllRoomie (AI-powered rental marketplace) who owned an enterprise real estate brokerage account end-to-end. Improved conversion and adoption by automating lead intake/routing and fixing integration issues, citing ~40% less manual coordination, faster response times, and expansion into additional regions through ROI-driven land-and-expand motions.”

“Quality professional with QC technician and QA experience across medical devices and pharmaceutical manufacturing (contract and direct hire). Has hands-on experience preventing shipping/packaging/labeling defects by tightening work instructions and documentation, and driving investigations/CAPA using 5 Whys and tools like TrackWise and DocuSign. Comfortable commuting to Beverly Hills and targeting $40–$50/hr.”