Vetted Mentoring Professionals

“Seasoned global CTO and executive leader with 20+ years of experience, including a $389M non-founder exit to a Fortune 10 acquirer. Now building a pre-seed AI-driven diagnostic imaging platform for pets with web and mobile products, beta customers, and a patent-pending solution aimed at saving pet lives.”

Emily Wood

Screened ReferencesStrong rec.

Director-level Product Management leader specializing in digital media, edtech, and e-commerce

Boston, MA15y exp

“Product leader with experience as the first product manager at Harvard Business Review, where they grew into Director of Product and built out the PM team. More recently, they shipped an AI-enabled learning pathway curation tool using RAG and have been driving platform centralization and human-centered AI strategy in enterprise learning.”

“Seasoned healthcare entrepreneur with 30+ years spanning large companies, startups, and self-founded ventures, now building a vascular implant device company around owned IP. Brings 20 years of cardiovascular focus, experience raising capital, and a pragmatic commercialization strategy centered on strategic partnerships, prototype development, and preclinical validation for a large reimbursed unmet-need market.”

“Director of Engineering at Proofpoint for 8 years, leading architecture and integration of Java microservices within a detection platform. Demonstrates pragmatic delivery leadership—incurring short-term cost to meet launch deadlines, then systematically paying down technical debt and optimizing AWS spend—plus a disciplined, long-horizon approach to backward-compatible API/schema evolution across many dependent services.”

“Engineering leader (Sr Director/VP) with healthcare marketplace and e-commerce/art marketplace experience who has shipped AI-driven pricing, scaled engineering teams rapidly, and navigated messy legacy integrations. Currently doing fractional tech advisory, leading a migration from self-hosted infrastructure to Google Cloud using IaC while mentoring a junior developer and modernizing security/patching posture.”

“Seasoned operator with 20+ years across corporate and startup environments, currently serving as CEO of an AI-powered augmented reality company building a 3D heads-up display for cars. Has raised about $3M pre-Series A and is also advising another AR company on automotive commercialization and Series B fundraising, with a strong VC network in deep tech, mobility, and transportation.”

Daniel Benyamin

Screened

Executive AI and product leader specializing in media, advertising, and data platforms

Los Angeles, CA28y exp

“Serial entrepreneur in marketing and advertising who has founded four companies, most of them venture-backed. Has raised pre-seed and other venture funding multiple times, mentored at Techstars, and brings a strong investor network plus firsthand experience across the VC, accelerator, and launchpad ecosystem.”

“Senior engineering leader with experience at ActiveProspect, Broadlume, and Zume, leading multidisciplinary orgs across growth and M&A while standardizing delivery, architecture, and quality practices. Stands out for combining executive-level roadmap, budget, and compliance ownership with hands-on prototyping and architectural intervention on mission-critical platforms, including AI-enabled testing and quality systems.”

Lissa Miller

Screened

Director-level Product Leader specializing in 0-to-1 B2B SaaS and AI platforms

Danville, CA20y exp

“Product leader with experience spanning Apple and healthcare AI, including leading the global Apple Relay partner portal now used across 80+ countries and building LLM-powered clinician documentation tools at Xolv. Stands out for combining large-scale platform execution, measurable business impact, and a human-centered approach to AI in regulated environments.”

“Strategic enterprise Customer Success leader from Atlassian Cloud managing a >$10M ARR, ~33k-user account end-to-end, driving measurable adoption (+12%), services expansion (+30%), and strong satisfaction (4.5/5). Experienced leading cross-functional deployments of AI agents (Rovo) and Forge-based integrations, and translating enterprise governance needs (e.g., RBAC at scale) into roadmap-shaping product requirements.”

Ahmed Elias

Screened

Director-level Talent Acquisition Leader specializing in global technical recruiting

14y exp

“Talent Acquisition leader who scaled a LATAM recruiting team to 17 and led major operational transformations at Amazon, including onboarding a workforce tracking tool across a ~20K employee population in BR/MX/CR. Known for hands-on confidential executive searches and for building a standardized SDE interview-prep program that materially lifted conversion rates (TPS 23%→46%, onsite 13%→33%) while freeing significant recruiter capacity.”

“Led an end-to-end regional sourcing strategy at AMAT for consumables and high-value critical parts, including risk/mitigation planning, cross-functional execution, and executive-level reporting. Successfully influenced internal business unit leaders to shift procurement away from captive suppliers by validating and improving regional supplier capability and reliability, while building a repeatable playbook for the team.”

Zahaan Khan

Screened

Mid-Level Full-Stack Software Engineer specializing in ads transparency platforms

San Jose, USA6y exp

“TikTok engineer (4 years) who built and owned multiple ad transparency platforms used by internal teams and advertisers worldwide. Strong full-stack profile spanning Next.js/TypeScript + Redux frontends, a secure/optimized BFF layer, and event-driven backend workflows (Kafka, retries/DLQ, Redis idempotency) with heavy emphasis on observability and performance; cites a 20% moderation efficiency gain on a modernized legacy tool.”

Ami Foelz

Screened

Principal Product Leader specializing in AI personalization, search, and e-commerce

Remote, US18y exp

“Product leader with experience building product organizations from scratch at both Amazon and LTK, with a strong focus on AI-powered search, discovery, personalization, and monetization. They combine strategic product leadership with hands-on UX and technical fluency, and have delivered measurable business impact including a 17% conversion lift and 21% revenue growth at LTK.”

“Product leader with experience at Amazon and Shift4 who specializes in untangling complex legacy financial systems and turning them into scalable, config-driven platforms. Notably rebuilt Shift4's fee logic into a single source of truth that cut engineering effort by 35% and later exposed it through an AI-powered support experience for merchants and internal teams. Also brings hands-on people management, having created a detailed leveling and career-development framework for engineers.”

Hardy Lou

Screened

Senior Software Engineer specializing in front-end architecture and enterprise web apps

Santa Clara, CA10y exp

“Frontend-leaning product engineer with strong full-stack collaboration experience across TikTok and Rivian, owning complex internal platforms from concept to production. Stands out for combining product thinking with technical depth: led a high-impact reporting platform initiative that materially increased adoption and CSAT, and also incubated an AI lead-research agent from scratch without a PM.”

“Product leader with 8+ years across AI, platform, data, and customer-facing products, including personalization, discovery, loyalty, digital ordering, and conversational AI. Notable wins include launching an AI recommendation engine for Baskin Robbins that lifted conversion 20% and AOV 12%, and improving Apple discovery feature adoption by 25% through phased delivery under complex data-quality constraints.”

“Operations and platform leader with full P&L ownership who has run global, multi-site organizations and built operating infrastructure across systems, shared services, integration, and real estate. Particularly compelling for VP Platform Operations roles because they combine turnaround execution, cross-border acquisition integration, and hands-on systems modernization—while also having built a Bloomberg business from $0 to $8M in year one.”

“Operations-focused executive and management consultant who has led operational buildouts across sectors: first CEO at a founder-led company, COO of a large nonprofit food bank, and co-founder of a 501(c)(3) that has run for over a decade serving thousands of at-risk children. Brings a structured, metrics-informed approach (process mapping, financial alignment, benchmarking, SWOT) and coaches leaders to connect vision and strategy to scalable operational execution.”

YAKKALI PAVAN

Screened

Mid-level Machine Learning & Generative AI Engineer specializing in NLP, CV, and RAG systems

USA6y exp

“Built and deployed a production LLM-powered RAG document intelligence system used by non-technical enterprise stakeholders, cutting document search time by 40%+ while improving answer consistency. Demonstrates strong MLOps/data workflow orchestration (Airflow, AWS Step Functions, managed schedulers across GCP/Azure) and a metrics-driven approach to reliability, evaluation, and cost/latency optimization with guardrails and observability.”

BHABANI Dash

Screened

Principal Enterprise Architect specializing in AI, cloud strategy, and digital transformation

Lake Villa, IL20y exp

“Aspiring AI product builder interested in LLMs and deep learning, exploring forming a team (including fresh graduates) and leveraging crowdsourcing to develop ideas. Has not raised capital and has no VC/accelerator experience yet, but is thinking ahead about funding needs and partnering with an operational co-founder while potentially joining an existing team.”

Bennett Smith

Screened

Senior Full-Stack Engineer specializing in cloud-native microservices and React

Los Angeles, CA14y exp

“Backend/data engineer with strong AWS production experience spanning high-traffic FastAPI APIs (Postgres/Redis/Kafka) and serverless+container deployments (Lambda/ECS) managed via Terraform and CI/CD. Has built Glue-based data lake ETL (S3 Parquet, Athena/Redshift) with schema drift/data quality controls, modernized legacy batch systems via parallel-run parity validation, and demonstrated measurable SQL performance wins (60–90s down to 3–5s).”

“Engineer turned consultant turned Morgan Stanley TMT investment banker with a rare blend of technical operations, strategy, and finance. Has worked on over $40B in transactions and brings standout experience navigating novel, high-ambiguity situations such as a $3B AI/HPC datacenter deal for Cipher Mining and complex cross-border regulatory structuring in gaming M&A.”

“Engineering leader in cloud security at SysTech with player-coach experience spanning cross-team data/ownership standardization and reporting platform user-journey improvements. Stays technically deep through observability (SLA/SLOs, dashboards, alerting), rigorous code reviews (including AI-assisted coding), and end-to-end incident ownership in IAM/agentless cloud event collection. Targeting $270K–$300K base plus bonus/equity.”