Vetted Stakeholder Communication Professionals

“Product manager with 5+ years spanning JPMorgan Chase and Airbnb, combining fintech, marketplace, and platform experience. Stands out for driving measurable growth— including 50,000 new active users via onboarding experimentation— and for leading ambiguous 0-to-1 internal automation work in a regulated compliance environment.”

“Customer-facing technical professional with Amazon incident-management experience who helps drive adoption of complex ML/LLM solutions by delivering hands-on demos and rapid model fine-tuning. Applies a disciplined debugging approach (repro + logs/metrics + severity triage) and maintains runbooks to resolve SEV2 issues in ~1 hour, while also partnering with sales/customer teams to ship patches and new features based on feedback.”

“Partnerships/integrations leader with experience running multiple simultaneous ISV launches and executive-level cross-functional cadences. Created a CEO-backed, data-driven partner/integration prioritization scorecard that helped increase partnership revenue 13.5x, and has operated in high-confidentiality environments supporting major global product launches (Samsung).”

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).”

“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.”

Hanna MacNamee

Screened

Mid-level Client Implementation & Customer Success specialist in FinTech and private markets

New York, NY3y exp

“Client-facing operator with strong pilot conversion and user engagement experience who translates product adoption work into founder-style sourcing and relationship building. They use behavioral data to drive highly personalized outreach, have managed 50-100 outbound touches per week, and have turned disengaged or at-risk users into super-users and referral sources, including in law firm/operator contexts.”

ALEXANDER SHEYNER

Screened

Executive IT & Enterprise Architecture leader specializing in portfolio transformation, data/AI, and M&A

Boston, MA35y exp

“Fractional CTO supporting early-stage teams in the UAE and Ukraine to build platforms using an "Agentic OS" approach—one focused on reducing friction across patient/provider/payor engagement and another on enforcing transparency for international rebuilding investments to reduce fraud. Also exploring an alternative-energy feedstock plantation opportunity in Armenia with multi-industry downstream revenue potential; has created project-specific investor pitch decks and is actively engaging potential investors.”

Karan Mehta

Screened ReferencesStrong rec.

Director-level Business Operations & GTM Strategy leader specializing in analytics and performance

Foster City, CA9y exp

“ZS consultant/product owner who repeatedly turns vague GTM performance goals into decision-centric analytics products and operating rhythms. Has scaled analytics initiatives from pilots into $1M+ platforms with 100+ leader adoption, and tied measurement tools to material business outcomes (e.g., $10M+ incremental revenue impact) through change management and cross-functional alignment.”

“Healthcare solutions architect with roughly 7 years at Mass General Brigham, evolving from application specialist to broad cross-functional architect supporting telehealth, digital health, conversational AI, generative AI, and legal workflow initiatives. Particularly strong at translating complex clinical and business problems into enterprise architectures, integrations, and stakeholder-specific demos across hospital leadership, clinicians, IT, and vendors.”

“Backend/data engineer with strong authorization and compliance-domain experience: led a phased migration from a simplistic role model to modern RBAC on a Python serverless stack (Auth0 + AWS Lambda/API Gateway), coordinating changes across 5 repos with extensive manual and automated validation. Previously built and operated custom ETL pipelines (Airflow + Groovy/Java on Spark/YARN/Hadoop) to normalize messy customer email/chat/voice data for NLP-driven financial compliance indicators, including complex email journaling metadata enrichment and large-scale remediation reprocessing after production bugs.”

Pamela Shand

Screened

Director of Talent Acquisition specializing in workforce planning, analytics, and internal mobility

Newark, NJ19y exp

“Operations and talent strategy leader who has supported two early-stage tech startups by optimizing org structure and building scalable recruiting operations. Implements KPI-driven hiring systems, employer branding/attraction strategies, and DEI/SMART/SWOT frameworks, and has a concrete example of reducing declined offers by shifting compensation discussions earlier and training hiring managers. Experienced mentoring founders/executives through mission-aligned, flexible development plans and structured communication processes.”

Edward Yeh

Screened

Director-level Data Engineering & MDM leader specializing in enterprise data platforms

Hunt Valley, MD20y exp

“Former Xendit (YC-backed fintech) operator applying outcome-driven, scalable product-building experience to a new startup: a real-time, personalized real estate investment intelligence platform. Has begun prototyping, completed ROI analysis, and validated the space with US market research plus broker interviews in Chicago and Los Angeles, aiming to differentiate from Zillow/Redfin with goal-based ranked investment recommendations.”

“Enterprise-focused SDR candidate with experience prospecting into some of the largest companies in the world using multi-channel outbound, personalized trigger-based messaging, and multithreaded stakeholder outreach. They report never missing quota, worked toward quarterly goals of 20 meetings and $1M in pipeline, and are especially motivated by founding SDR environments where they can help build the pipeline engine from scratch.”

“Built both traditional data infrastructure and LLM-powered product workflows, spanning a Python/SQL ETL deployment at Amazon and an adaptive learning system for their DataLingo platform. Particularly interesting for roles at the intersection of data engineering, applied AI, and customer-facing product delivery, with hands-on experience stabilizing probabilistic LLM systems in production.”

“Operator-investor with three distinct chapters in venture capital, product management, and entrepreneurship. They evaluated 3,000+ companies in VC, then led global compliance product work at Binance across 90+ integrations and 30+ markets, while also building Kidogi shop into a real business with ~400% revenue growth and AI-enabled workflow automation.”

“Software engineer with experience spanning early-stage startup architecture and large-scale Amazon product development. They’ve driven search and data-platform decisions in a 20-person startup, built full-stack React/Python tools that automate internal workflows, and shipped marketplace expansion and personalization features impacting 200k sellers and millions of end users.”