Alec Zaslav

Product Manager · Los Angeles

CVS Health, since Nov 2025 · TipHaus, 2023 to 2024 · Inveniam, 2021 to 2023

People rarely arrive with requirements, so I start by digging out what they actually need.

I own products end to end, usually as the only PM on them, so nobody hands me a plan. I work out what to build, make the case for it, and get engineering, leadership and the people using it moving the same way, whether those people pour drinks or keep a healthcare enterprise running.

That has meant shaping QR tipping for businesses with no point-of-sale system, moving a live neobank program across four vendors while supporting the restaurants on it, and deciding what an enterprise AI knowledge platform takes on next.

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Work

Walkthrough · TipHaus

QR Tipping for Businesses TipHaus Couldn't Serve

How I brought TipHaus's tip management to businesses with no point-of-sale system, in a walkthrough recorded for the CVS Health manager who hired me.

Video, 3:47 · transcript included

Interview take-home · Product Manager role · May 2026

A 90-Day Plan for Two AI Products

A fintech collections company handed me seven days, a 15-slide limit, and a deliberately messy brief: two AI products, four enterprise clients, and signals that all pointed different directions. This is the plan I submitted, and the one decision the rest of it turned on.

About a five-minute read · deck included

Experience

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CVS Health contract

Technical Product Manager Nov 2025 to present · Remote

Lumina is CVS Health's internal GenAI knowledge platform. I own the roadmap, partner intake, and the measurement practice behind its reporting, alongside a four-person engineering team of two software engineers and two data scientists.

  • Scaled Lumina from roughly 800 to 6,500 users and roughly 100 to 1,100+ daily interactions, taking it from an internal tool to an enterprise-wide knowledge layer across pharmacy, health benefits, and technology operations, with satisfaction at 8.3 out of 10 and NPS +54 among 193 screened respondents, up from 7.14 and +38 in Q4 2025
  • Authored four consecutive quarterly executive roadmaps, adjusting direction each quarter as priorities shifted and moving engineering capacity across four phases: content breadth, connectivity and governance, agentic capability, and measurement, with roadmap completion rising from 64 percent in Q1 2026 to 78 percent in Q3
  • Run the full product lifecycle behind those roadmaps, from backlog grooming through the standup, sprint planning and retrospective ceremonies, prioritizing on stakeholder feedback and usage data across three pillars: agent automations, source governance and observability, and platform performance and intelligence
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  • Designed and built the Airtable CRM that runs Lumina operations, primarily with Claude, consolidating partner intake, source ingestion, feedback, and surveys into one system the team works out of daily, then improved the existing intake process and automated its emails
  • Own the 2026 OKR framework and the measurement practice the platform reports through, designing the survey instruments and the dashboards leadership reads, with the year-end daily-interactions target cleared around midyear and the quarterly source ingestion targets exceeded. My director made me the go-to resource for three teams setting up their metrics and survey-based measurement as the organization set its ROI standards
  • Own partner intake across 30+ named teams as Lumina's primary liaison, assessing roughly two inbound requests a week for fit, scope, and whether to say no, translating partner needs into scoped product initiatives and staying in contact through the integration life cycle
  • Author the monthly release communications to channels reaching 30,000+ colleagues, translating complex GenAI feature releases into accessible narratives that supported adoption, and use prompt engineering and LLM tools to speed release drafting, intake documentation and stakeholder synthesis
  • Partner with the data scientists who own source governance on content quality across 200+ ingested enterprise sources in a regulated healthcare environment, setting evaluation criteria for documentation relevance, data integrity and source health and turning findings into prioritized decisions
  • Represent Lumina beside the other enterprise AI platform owners on a division-wide steering group and in the monthly roadmap forums, and monitor the enterprise AI landscape, collaborating with my director on Lumina's differentiation from the peer platforms

Freelance part-time

Product Consultant May 2025 to Aug 2025 · Remote

Product consulting for two early-stage teams: a nonpartisan civic-tech startup helping voters research local elections and reach their representatives, and a consumer app for reducing screen time.

  • Set the product roadmap and prioritization process for the civic-tech startup, defining feature scope and launch positioning in its weekly product overview, prioritization and standup meetings
  • Started the screen-time app with its founder from zero, writing the MVP feature list, making the mockups and building the roadmap, then carried it into early development
  • Tested content marketing with that founder, trying different content types and posting times and watching what engaged

TipHaus

Product Manager May 2023 to Nov 2024 · Remote

TipHaus makes tip-management software for restaurants. I ran Earned Tip Access, its program paying tipped workers their tips daily through a neobank account or push-to-card into their own bank, as sole product owner, from a handful of pilot businesses to a program spanning 2,000+ locations.

  • Owned Earned Tip Access end to end, a program giving tipped restaurant workers daily digital tip payouts through two channels, a neobank account or push-to-card into their own bank, and grew it from roughly 20 businesses and 200 users to 200+ businesses across 2,000+ locations and 20,000+ tipped employees with access
  • Led a three-quarter migration of the entire banking stack behind millions of dollars in daily tip payouts, across the program's four partners, every business tip-distribution account platform-wide and both payout channels, 1,600+ neobank accounts plus every push-to-card account, renegotiating scope continuously to hold the timeline and landing it with minimal service interruptions
  • Primary liaison to the program's four external partners, mobile banking developers, banking platforms and financial service providers, identifying the app features the program needed and working with them on fraud SMS alerts, in-app debit card notifications and digital wallet integration to strengthen fraud detection and user experience
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  • Kept the program website and legal pages current through each vendor transition, improving visibility and keeping the program compliant
  • Cut program expenses 40 percent through invoice audits, expense trend analysis, per-user cost modeling and vendor fee negotiation, all in Excel, presented directly to the CEO, and separately halved what accounts were costing the program by eliminating dormant savings accounts
  • Won a company-wide innovation competition with a tiered-usage pricing model proposed to replace the flat fee, built on how customers from single cafes to multi-location chains actually used the product and identifying significant profit potential, presented to company leadership
  • Tracked interchange revenue, transaction and spend patterns in SQL dashboards and Excel, reporting to leadership to support proactive management of spending behaviors and program costs
  • Analyzed transaction volume, spend, churn and customer segments with Mastercard in Excel, and took KYC onboarding, spend incentive and merchant partnership proposals to the C-suite to improve acquisition and retention
  • Wrote the wireframes and requirements and ran the engineering handoff for a handful of features across the core product, QR Tipping above all, plus Role-Based Permissions, Enterprise Settings and Activity Log, contributing to the direction of the product suite, and ran QA across the whole suite, resolving critical bugs in UI, payments and banking integrations
  • Direct technical contact for 200+ restaurant clients through the migration and on payment processing issues, diagnosing problems with their technical teams and keeping relationships strong through them, and recovered balances owed by client businesses in full, including one in the five figures, across failed transfers, unpaid invoices, duplicate payouts and churned accounts, alone or with customer success

Inveniam Capital Partners

Associate Product Manager, Data Dictionary Aug 2022 to Feb 2023 · Remote

Data Science Intern, Data Team Oct 2021 to Jul 2022 · Remote

Inveniam builds data infrastructure for private markets. I worked on the data dictionary behind its AI extraction for commercial real estate, starting as a data science intern and moving into product.

  • Built the data dictionary behind AI extraction from commercial real estate documents, covering 500 to 1,000 properties across office, retail, industrial and multifamily: field names, data types and extraction rules, defined in Excel and translated from manual analyst workflows into machine-readable specifications an AI partner could build against
  • Held property-type nuances without breaking what a field meant across asset classes, and set document coverage as the success metric for early extraction work, testing every dictionary change against appraisals and inspection reports
  • Ran weekly iteration cycles with the external AI development partner, closing coverage gaps surfaced in testing, on a cycle of document review, gap identification, revision and coverage testing that started in the internship and carried into the product role
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  • Served as the data subject matter expert across three development groups, internal engineering, the external AI partner and a separate outside development firm, working with cross-functional teams and industry experts, and reported to the Chief Data Scientist and Chief Product Officer
  • Brought the data perspective to the development team's brainstorming sessions, which shaped the product design, and worked in the product team's Agile/Scrum ceremonies as the role took on broader product scope
  • As the data science intern before that, built the first version of the dictionary document by document from appraisals and inspection reports, defining the fields AI extraction would depend on and finding where the specification fell short
  • Cleaned and validated datasets in Excel so invalid records never reached extraction and training work, surfacing patterns and outliers, and sourced and prepared the data used to test AI extraction against the company's existing platform

University of Maryland

Dec 2022

B.S. Information Science

minor in Entrepreneurship and Innovation

How I Work

  1. Start with the people using it.

    Most of my decisions start with who is on the other end. For QR tipping, that meant a guest holding a phone, and a coffee shop and a casino that each wanted the experience to feel like their own.

  2. Get the foundation right first.

    The part people get excited about usually depends on a less exciting part holding up. Clean data before AI extraction. Compliance before the revenue product. Trusted sources before answers anyone relies on.

  3. Say no on purpose.

    Lumina runs on a six-person team, so capacity is real. Teams regularly bring us requests that fall outside what the platform is for, or sources we can't trust enough to use. Turning those down is how it stays good for the people already on it.

Contact

Email is the easiest way to reach me, and I read everything that comes in. LinkedIn messages work too, and my number is on my resume. I'm in Los Angeles.

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