Vetted Operations Professionals

Michelle Lu

Screened

Senior Customer Success Manager specializing in B2B SaaS retention and expansion

Pleasanton, CA8y exp

“Enterprise CSM with martech/market-intelligence background (Pulse and Gartner context) who owns accounts end-to-end from onboarding through renewal and expansion. Known for executive-level value narratives (e.g., CPO using benchmarks in a board deck), multi-threading across Product and Legal, and using usage/segmentation analytics plus activation tactics (A/B testing, targeted messaging) to drive adoption and renewals.”

Ishwari Mulay

Screened

Intern Data Scientist specializing in analytics and healthcare data

Philadelphia, PA1y exp

“Analytics candidate with AstraZeneca internship experience building scalable SQL and Python workflows on large healthcare datasets. Stands out for combining data engineering, reporting automation, and applied machine learning— including an end-to-end patient no-show prediction project that achieved 76.8% accuracy and reduced no-shows by 18%.”

Ranfei Pang

Screened

Mid-level Software Engineer specializing in AI systems and FinTech

Boston, MA4y exp

“Amazon warehouse-tools engineer with strong full-stack and GenAI systems experience, spanning large-scale provisioning platforms and internal LLM/chatbot products. They’ve owned systems end to end, including React/TypeScript frontends, Java/AWS backend orchestration, and Bedrock-based RAG architectures, with measurable impact on latency, token cost, validation quality, and operational support load.”

Michael Boholst

Screened

Director of Operations specializing in healthcare and biotech operations

Honolulu, HI13y exp

“Operations leader who joined Nucleus Biologics early and built the company’s pre-production and technical operations operating model end-to-end, including team buildout, KPI/dashboards, and regulatory readiness. Co-led ISO 13485 certification and managed capex and multi-year initiatives up to $10M. Notably mitigated a post-COVID supply chain crisis by designing an in-house manufacturing path for a critical sterile 2000L mixing bag/impeller (including CNC/prototyping and L&E considerations), eliminating vendor reliance and driving significant YoY savings.”

“Full-cycle recruiter with experience spanning executive-level searches (hiring a Talent Acquisition Leader) and high-volume call center hiring (~100 hires/month). Uses an always-on pipeline strategy, tracks Time to Fill and funnel health, and enforces SLAs with hiring managers—including escalation to leadership—to keep throughput and decision-making on track.”

“Enterprise implementation leader with 10+ years delivering multi-million-dollar B2B/SaaS rollouts across procurement, expense management, legal tech, and fraud/identity platforms. At Amazon Business, managed 12+ concurrent enterprise implementations and owned the full lifecycle from strategy and change management through go-live, with strong executive stakeholder management and governance discipline.”

“Engineering-management graduate student at Cornell who has grown from quality engineering into product leadership, with experience spanning telecom, accessibility operations, and an AI healthcare fraud startup. Particularly compelling for PM roles requiring ambiguity handling, cross-functional execution, and thoughtful tradeoffs between AI capability, explainability, cost, and regulatory constraints.”

“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.”

Margil Gandhi

Screened

Mid-level Product Leader specializing in AI, FinTech, and Travel Tech

Dallas, TX5y exp

“Product leader and startup co-founder with ~6 years of end-to-end ownership, spanning a travel SaaS business and AI workflow products at Goldman Sachs. Particularly compelling for AI/knowledge products: built a RAG-based Copilot used by 2,000+ agents with ~95% answer accuracy in a regulated environment, and also created a side-project knowledge engine indexing 270 podcast episodes with semantic search and citations.”