Vetted Google Workspace Professionals

Jon Cross

Screened

Executive Operations & Product Leader specializing in Ads, customer experience, and go-to-market

Saratoga, CA21y exp

“COO of Greenopia (pre-seed, pre-revenue) who has built the company’s operational foundation over the past 18 months—supporting fundraising, SEC/crowdfunding setup, and coordinating app and self-serve business onboarding/assessment systems. Brings a metrics-driven operating approach (OKRs, balancing metrics/unit economics) and has advised other startups (e.g., sports betting) to refocus effort on the highest-value customer segments.”

“Strategy and operations leader with experience spanning Anheuser-Busch and McMaster-Carr, combining large-scale cost ownership, frontline operations leadership, and sourcing strategy. Particularly compelling for operationally intensive roles: they’ve managed a 150-person service organization, owned a ~$750M cost base, built strategy in ambiguous environments, and independently drove an LLM automation pilot that reached 97% accuracy and saved 3 FTEs.”

“Repeat startup co-founder with multiple successful exits and significant fundraising experience (most recent raise $6M USD; prior raise £10M GBP). Interested in roles bridging investors and startups—performing due diligence and evaluating MVPs/USPs to help firms invest in the right companies and support portfolio growth toward exit.”

“Strategic GTM leader with 20+ years across Confluent, AMD, Splunk, and Dell, spanning hardware, software, and semiconductors. Stands out for building OEM and partner-led demand engines, launching AI-ready products, and tying full-funnel marketing and sales enablement to measurable outcomes including quota attainment, 100% database growth, and nearly 50% YoY revenue growth in AMD's commercial AI PC business.”

Dominique Fluker

Screened

Senior Journalist & Content Marketer specializing in lifestyle, entertainment, and tech brands

9y exp

“Growth-creative marketer who led GTM strategy and execution for three Instagram Reels product launches, owning editorial strategy, social distribution, and educational content aimed at creators and SMBs. Leans heavily on audience research (case studies/surveys) and cross-functional collaboration with product/design to build Reels-first storytelling and iterate quickly under tight launch timelines.”

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.”

“Fitbit engineer who has taken multiple projects from concept to release, including architecting a new warranty-evaluation system that achieved 100% accuracy and saved the company $6M. Interested in exploring startup ideas and emphasizes mission alignment and building strong cross-functional teams.”

“Former McKinsey consultant with MBA consulting experience who led financial/budgeting work and helped shape a nonprofit fundraising GTM strategy. Built targeted corporate outreach, tailored messaging by stakeholder, and used HubSpot-driven pipeline tracking to help secure roughly $50K in partner funding.”

“Customer Success Lead in healthcare AI (diabetic retinopathy screening) who owns enterprise accounts end-to-end and drives measurable adoption/retention outcomes. Experienced navigating complex stakeholder dynamics during a health system acquisition, using Tableau/Salesforce analytics and ROI storytelling to expand from pilot to full deployment, and leading cross-functional delivery of EMR-integrated SSO to unblock clinical workflow adoption.”

“Full-desk recruiter with experience at Meta supporting the AR Glasses org, including a difficult Staff-level ML Engineer search. Uses competitor mapping (e.g., Snap/Microsoft/Google/Apple) and multi-channel passive sourcing (LinkedIn Recruiter, SeekOut, GitHub, Quora, network) while running a metrics-driven cadence with hiring managers and strong candidate advocacy.”