Vetted Product Managers

Emily Hottal

Screened ReferencesStrong rec.

Director-level Product Leader specializing in AI, data, and customer engagement SaaS

Stow, MA17y exp

“Senior product leader at Airship driving both major platform modernization and the company's AI transformation. They led a contact-centric rebuild touching nearly the entire customer engagement platform, then built an AI recommendations product on Vertex/Gemini with a design-partner rollout model. They also bring rare depth across analytics, experimentation, personalization, and email marketing, plus experience rebuilding PM teams and shaping product strategy with executive leadership.”

Mark Kemp

Screened ReferencesStrong rec.

Director of Product Management specializing in FinTech and financial data platforms

Austin, TX15y exp

“Product leader in financial services who has built both customer-facing and internal AI-enabled products, including an award-nominated retirement plan platform that drove submissions from 40% to 98% in good order and unlocked a $10M revenue stream. Also built product process and team structure from the ground up at Consero, with experience applying AI/LLMs to workflow automation and reporting in complex, data-heavy environments.”

“Healthcare product leader who rebuilt the NextCare Anywhere urgent care platform across mobile and web, dramatically improving booking conversion from 2% to 34% by simplifying the patient journey and fixing key caregiver workflows. Also brings emerging AI leadership in regulated environments, having helped define AI policy and pilot human-supervised workflows that delivered 30-40x documentation gains with 100% first-pass approval.”

Simon Sikora

Screened ReferencesStrong rec.

Director-level XR/Unity Application Development Manager specializing in training simulators

Warsaw, Poland13y exp

“Unity XR/VR developer with extensive Meta Quest experience who shipped a high-performance Quest 2 training simulation for a major pharmaceutical manufacturer, emphasizing 90 FPS optimization and highly accessible, low-UI interaction design validated by elderly user testing. Built a largely solo VR game end-to-end (assets, UI, audio, optimization, input) and standardized on OpenXR with custom solutions to stay future-proof amid changing VR SDKs; has also served as lead developer and service delivery manager.”

Cassie Sanborn

Screened ReferencesStrong rec.

Director-level Product Leader specializing in consumer growth and digital platforms

Rio Dell, CA13y exp

“Product leader with strong consumer and education-oriented product experience, including personalization, trust/safety moderation, and AI-enabled workflows. Stands out for pairing user research with measurable outcomes—such as boosting Spanish review output by 165% through AI translation—and for a thoughtful philosophy that AI should amplify human judgment and support rather than replace it.”

Mandy Anger

Screened ReferencesStrong rec.

Executive product leader specializing in EdTech and AI-powered learning products

Idaho Falls, ID16y exp

“Education-focused product leader with a career spanning Waterford, WGU, ETS, Stukent, and Accelo, combining zero-to-one AI product building with portfolio-scale operating rigor. Particularly compelling for mission-driven edtech roles: they launched an AI-powered K-12 product line with five state agency partnerships in under a year and consistently frame AI as a tool to amplify, not replace, educator and tutor judgment.”

“AI product leader with experience at Bloomberg Tax and Sun Automation, focused on turning complex enterprise workflows into approachable, human-in-the-loop AI experiences. Notable for redesigning a technical data integration product around natural language and guided validation, driving a 72% reduction in onboarding/adoption time while emphasizing trust, transparency, and user control.”

Charles Parsons

Screened ReferencesStrong rec.

Executive product leader specializing in SaaS growth and product strategy

Southbury, CT20y exp

“Product and UX leader who has both rebuilt a dated messaging platform through iterative releases and launched a new Salesforce version from scratch. They combine hands-on product management, UX design, and human-centered AI thinking—especially around blended automation/manual workflows—and have also built and mentored early-stage product and design teams in a startup environment.”

“Former Head of Growth & Strategy at a digital identity company (pre-MBA in Boston) who ran multiple cross-functional initiatives across sales, product, and finance. Delivered measurable outcomes including raising sales conversion from 70% to 83% in 30 days, achieving 17% profitability via a new pricing model, and launching a new onboarding platform GTM on time.”

“Cofounded a travel app and built a production place recommendation + review system end-to-end using Next.js App Router and TypeScript, including Postgres-backed APIs and post-launch monitoring. Uses structured logging with Sentry and Vercel Analytics to diagnose issues and validate performance improvements, and has some exposure to Temporal-based workflow orchestration with retries/idempotency.”

Akshay Danthi

Screened

Senior AI Engineer specializing in production GenAI systems

San Francisco, CA8y exp

“AI engineer who has shipped production LLM systems end-to-end, including a natural-language-to-SQL analytics copilot for career advisors that achieved ~95% query success through schema grounding, access controls, and automated regression testing with golden queries. Also builds LangGraph-orchestrated multi-step agents (resume analysis, recommendations) and RAG pipelines (PDF ingestion + FAISS) and partners closely with non-technical users to drive adoption and trust.”

Robbie Harol

Screened

Principal Product Leader specializing in AI-native, civic, and climate tech

Los Angeles, CA18y exp

“Product leader with unusually broad experience spanning adtech startups, consumer rewards, political-tech nonprofits, and consulting for operational automation. Stands out for pairing strong UX and monetization instincts with practical AI product work, including building a RAG-based chatbot and consistently using user research to drive measurable outcomes like 400% conversion growth, higher satisfaction, and faster onboarding.”

“Product leader with a rare mix of healthcare, HR tech, mobile, and AI experience. They rebuilt UPMC's member app for 3M members while pioneering a product-based funding model inside a large enterprise, and later drove 80%+ revenue growth at JazzHR by reshaping marketplace UX for SMB buyers. Their AI work is notably human-centered, with explicit fairness, compliance, and approval guardrails.”

“Product leader from Convosocial/Verint with hands-on experience integrating AI into customer service workflows, including a RAG-powered assistant that improved agent efficiency by 33%. Combines enterprise product strategy, UX instincts, and people development, with a strong human-in-the-loop perspective on AI and a track record of mentoring team members into product and data-focused roles.”

Joseph Selby

Screened

Senior Product Leader specializing in EdTech and digital assessment

Remote, USA17y exp

“Edtech product leader with deep experience across Pearson, SMART, and Promethean, spanning legacy platform modernization, classroom engagement tools, and early AI in education. Particularly compelling for roles at the intersection of product, pedagogy, and human-centered AI: they rebuilt SMART's 29-year-old Notebook platform and have repeatedly designed products around real teacher and student needs.”

Scott Evans

Screened

Director-level Product Leader specializing in platforms, marketplaces, workflow automation, and AI

Indianapolis, IN10y exp

“Product leader with experience across marketplaces, AI/ML operations products, and education-focused research. Led the Angi native app rebuild that generated $5M+ in revenue, shipped an OCR/ML title-processing product at Cox, and is now focused on K-12 workforce pathways and human-centered AI.”

“B2B SaaS presales/solutions engineer with recent experience spanning Cisco enterprise infrastructure and AI-driven POS analytics products. Supported 120+ enterprise accounts, helped drive a $10M renewal/expansion in financial services, and combines classic enterprise SE skills with hands-on API, SSO/SAML, ETL, Python, SQL, and LLM/RAG integration experience.”

Vu Tran

Screened

Senior Product Manager specializing in 0–1 platforms, AI workflows, and product operations

Oakland, CA8y exp

“Customer success/product-facing operator from AllRoomie (AI-powered rental marketplace) who owned an enterprise real estate brokerage account end-to-end. Improved conversion and adoption by automating lead intake/routing and fixing integration issues, citing ~40% less manual coordination, faster response times, and expansion into additional regions through ROI-driven land-and-expand motions.”

“Product leader with experience spanning industrial AI, enterprise analytics, and live production tools at ProcessMiner, ADP, and Peloton. They’ve shipped ML-driven products that generated measurable operational savings and business improvements, including over $1.5M in annual chemical savings for manufacturing customers, and they pair that with deep stakeholder management and people leadership experience.”

“Product and design leader with hands-on experience shipping early AI-powered insights products at Grow Progress and redesigning complex data dashboards at MikMak. Stands out for pairing human-centered AI judgment with strong people leadership, including managing product and design teams, building growth frameworks, and creating internal AI tools and prototyping standards.”

“Product leader with strong experience in highly regulated benefits and claims environments, including building statutory benefits systems and launching AI-enabled claims automation. Stands out for navigating regulatory ambiguity, legacy/API integration, and executive alignment while still shipping on time and under budget, with a clear philosophy that AI should augment human work rather than replace it.”

“Built a web-based online Sudoku game in JavaScript (multiplayer format supporting up to 6 teams with up to 5 players each) and demonstrates strong product/analytics orientation. Uses a KPI-driven approach (DAU/WAU, ARPU, session duration, LTV) and structured prioritization methods (MoSCoW, story mapping, cost of delay, DFV) to iterate toward targets; seeking a remote role around $70k/year.”