Vetted Product Development Professionals

Joshua Seiden

Screened ReferencesStrong rec.

Executive Technology & Product Leader specializing in emerging tech commercialization

Centennial, Colorado33y exp

“Startup operations/product advisor and long-time accelerator mentor who has helped multiple early-stage companies become enterprise-ready—shifting teams to customer-driven roadmaps and implementing CI/Agile delivery processes. Notably supported an Israeli company in landing a Fortune 30 customer before it later IPO’d on NASDAQ, and helped an Australian startup operationalize delivery to secure deployment with a major telecom and sports league.”

“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.”

“Former corporate retail leader (25 years) who recently launched a boutique consultancy and has already advised ~12 early-stage founders. Specializes in installing disciplined but lightweight operating systems across merchandising, inventory planning, and wholesale readiness—driving outcomes like +53% YTD growth for a D2C/wholesale apparel brand and rebuilding a NYC candy brand’s margin structure ahead of major wholesaler launches in 2026.”

“Investor/sourcer from Morgan Stanley Expansion Capital focused on vertical SaaS, with a structured system for high-volume founder outreach (30–50/week) and thesis-driven messaging. Has originated cold outbound conversations (e.g., Elevate, Rockbot) and owned end-to-end diligence work including SaaS metric analysis, operating model building, and internal decision memos/partner updates.”

Tricia Biggio

Screened

Executive media and creative-tech leader specializing in entertainment and AI storytelling

Los Angeles, CA18y exp

“Former co-founder/CEO of a venture-backed media-tech startup who spent 6 years raising capital, leading through market shifts, and building with major investor backing. She brings strong relationships across venture studios and senior executives in media, entertainment, consumer products, startups, and AI, and led her last company into Amazon's AWS GENAI accelerator as one of 15 selected in North America.”

Dennis Noto

Screened

Executive Technology & Security Leader specializing in FinTech, AI platforms, and enterprise modernization

Denver Metro Area36y exp

“Technology transformation leader who builds board-approved roadmaps and scales engineering orgs with strong Agile execution. Led large modernization efforts (e.g., Scottrade: 3,000 programs/4M LOC in 18 months) and scaled POCs into enterprise SaaS platforms using Docker, Kubernetes, Helm, and Terraform for high-concurrency workloads.”

“Serial entrepreneur and 5x founder with 20+ years spanning VC-backed startups and large public companies, including multiple successful fundraises and exits. Currently evaluating new ventures in AI-driven health and purpose-driven smart glasses, with a thoughtful founder lens on asymmetric impact, mission alignment, and structural advantage.”

Kaushik Mukherjee

Screened

Executive technology leader specializing in search, ads, and data/AI platforms

Bangalore, India

“Engineering/technology leader with payments (UPI) scale experience who built fraud and growth systems for tens of millions of daily transactions while keeping CAC and cost guardrails. Scaled an engineering org from 12 to 155 in a year using platform + pod structures, and institutionalized canary deployments with auto-rollback (cutting degradations ~75%) while leveraging GenAI for code and test automation.”

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.”

“Seasoned business leader with decades of leadership experience (including Fortune 50/500) and prior Silicon Valley startup exposure, now pursuing entrepreneurship. Building “Datascension,” a gamified, story/episode-based career coaching platform that includes hands-on tasks (e.g., SQL queries, Python scripts) plus a participation-based credit/currency system and certification/badging, informed by feedback from recruiters and coaching/recruiting firms.”

Sandeep Natu

Screened ReferencesStrong rec.

Executive Technology Leader (CTO/COO) specializing in Telecom, IT Delivery, and eGovernment platforms

Atlanta, GA19y exp

“Entrepreneurial operator who has started three revenue-generating startups for an employer and is now ready to found independently. Built and scaled a USSD-based lottery product in Nigeria by partnering with MTN, driving 10%+ uplift in gross turnover, and has hands-on experience validating market gaps via SMS/call-center surveys and launching pilots before scaling.”

“Repeat founder/operator with hands-on experience taking startups from zero to MVP, traction, and fundraising. Built a venture-backed company to roughly a $5M valuation and later served as Interim COO for a prop-tech startup, helping launch operations and support a 4-5M SAR raise. Also brings direct exposure to top startup ecosystems through Techstars, Antler, and close work with founders and investors in SF.”

“AWS-focused software engineer who built a self-serve ETL pipeline scheduling service for non-engineers, including automated CloudFormation-based onboarding that cut setup time from 2–3 weeks to ~5 minutes. Strong in production reliability and customer-facing data platforms (EMR/DynamoDB/Lambda), with examples spanning pagination at scale, cross-table consistency, and phased rollouts to improve Parquet log SLAs.”