Vetted Executive & Leadership Professionals in the Bay Area

“Amazon engineering leader (15+ years) targeting Senior Manager/Director roles, with deep ownership of contact-center latency and reliability initiatives. Shipped a global production improvement cutting call latency 30–40% and led a complex Citrix SDK integration, including incident response and a backward-compatible rollout strategy to protect existing customers while enabling new features.”

“Operations/Continuous Improvement leader with 25 years of Lean/Kaizen experience, including roles at Danaher and 10x Genomics. Known for building enterprise operating rhythms (True North + daily management) and developing internal CI certification programs, while delivering measurable quality and cycle-time gains (e.g., NCR/MRB lead time cut 47→14 days and FPY improvements via global test-equipment relocation).”

Dhaya Lakshminarayanan

Screened

Executive Operations Leader specializing in AI, climate tech, and high-growth organizations

San Francisco, CA20y exp

“Operator who has repeatedly stepped into founder-level, cross-functional ownership at startups—running full HR (recruiting, onboarding, benefits) with AI-driven process automation, and later serving as interim VP People & Culture during an executive transition. Also managed cap table, 409A, equity grants, and day-to-day investor relations, and built company-wide ELT goals/KPIs and operating rhythms tied to board-approved strategy.”

Sammy Datwani

Screened

Executive biotech leader specializing in microfluidics, diagnostics, and life science tools

Pleasanton, CA25y exp

“Biotech founder building a de-novo protein sequencing company, originally incubated by Versant Ventures and now focused on life science tools and clinical diagnostics. Has raised capital from institutional VCs, strategic investors, and a foundation, and brings unusual ecosystem depth through mentoring at IndieBio, Berkeley SkyDeck, and Biotools Innovator, plus board service with Life Science Angels and VC diligence advisory work.”

“AI-native engineer who says 100% of current development is done through coding agents and reports roughly 10x productivity gains. Currently building 'AI TV,' a production video-generation system with multi-agent orchestration, including a motion-graphics pipeline where agents handle high-level design, low-level implementation, and iterative review. Particularly strong in designing codebases and workflows so AI systems can effectively use architectural and product context.”

“LLMOps-focused technical leader who took an LLM use case from prototype to production for a non-technical customer by combining trust-building and structured enablement with a robust AWS/Kubernetes-based MLOps stack. Built observability and rollback mechanisms (Grafana + MLflow) to troubleshoot in real time, and scaled delivery by hiring a 5-person team while partnering with sales to manage expectations and drive adoption across departments.”

Alexander Schaab

Screened

Executive Technology & Product Leader specializing in ADAS and software-defined vehicles

Cupertino, CA14y exp

“Automotive technology leader who has driven ADAS/autonomous driving (L2++ to L4) and AI-assistance roadmaps for Mercedes and Volkswagen Group. In current role, built a software-defined vehicle organization from a handful of people to ~150 supporting VW, Porsche, and Audi, while setting scalable architecture foundations across brands and vehicle classes.”

“Engineering/data platform leader from FLYR (airline ML forecasting and automated pricing) who built scalable ingestion/ETL and a canonical data model to onboard airlines with highly heterogeneous source systems. Created a golden-metrics layer for airline KPIs and implemented monitoring/backfill capabilities, cutting onboarding time by 50%+ while improving SLA performance and controlling cloud/ML training costs through stronger data quality gates.”

“Operations/finance transformation leader with experience in large healthcare organizations (e.g., PacifiCare and KP), brought in to stabilize and modernize operating cadence during high-change periods. Known for applying lean/agile methods (value-stream mapping, 2-week sprints, kanban, RACI) to build KPI single-sources-of-truth and scalable analytics operating models, delivering 40%+ cycle-time/rework reductions and improved forecasting/decision velocity.”

Philip Kearney

Screened

Executive engineering leader specializing in embedded systems, IoT, and wireless networking

San Francisco Bay Area, CA34y exp

“Former Apple employee who worked with Steve Jobs in the early 2000s and is now looking to join startups as a CTO partner to non-technical founders. Brings a thoughtful, skeptical lens on VC-backed startup execution, emphasizing technical feasibility, real product-market fit, and mission-driven teams solving meaningful problems.”