Principal Product Manager

BenjaminPalitz

Product leader with 10+ years across Fortune 500 enterprises and high-growth startups: mission-critical platforms, regulatory complexity, and measurable operational outcomes, plus hands-on depth in AI/LLMs, prompt engineering, and shipping AI-augmented workflows from prototype to production.

Track record from 0-1 geospatial operations systems serving thousands of field workers to consumer hardware at scale ($50M+ revenue per résumé). Combines product judgment with technical fluency: structured prompting, iteration loops with clear acceptance criteria, evaluation discipline, and responsible rollout, alongside IoT, ML/AI, and enterprise integrations, in vendor-heavy, multi-state environments.

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At a glance

A compact view of context, proof, and how decisions move from signal to shipped outcomes.

Context

Bootstrapped / leanScaling companyRegulated enterprise

Proof points

Tenure

10+ yrs

Lifecycle impact

$10M+

Commerce shipped

30+

Platform migrations

12+

Figures are sourced from content modules and stay limited to résumé-aligned statements for Benjamin.

Proof

Fast-scan credibility

Figures below are loaded from content modules and are limited to résumé-aligned statements, not component defaults.

Tenure

10+ yrs

Strategy and execution across Fortune 500 enterprises and high-growth startups (résumé).

Lifecycle impact

$10M+

Lifecycle savings by scaling digitized workflow management; work closing from 77 days to 1.5 days across operations territories (résumé).

Commerce shipped

30+

eCommerce storefronts and marketplaces across Shopify, BigCommerce, and headless platforms (résumé).

Platform migrations

12+

End-to-end platform migrations led, modernizing client infrastructure (résumé).

Case studies

Featured work

Executive summaries only; full narratives live on each case study page. Placeholders mark content still being aligned to the résumé PDF.

Featured story

Operational transformationEnterpriseRegulated

Digitized workflow transformation

National Grid

Reduce operational drag and cost in work closing across operations territories while navigating multi-state regulatory requirements and vendor ecosystems.

Regulated utility operations spanning multiple territories, with digitized workflow management scaled across the organization.

Role — Principal Product Manager (Nov 2022 – Present per résumé).
  • $10M+ in lifecycle savings by scaling digitized workflow management; work closing time from 77 days to 1.5 days across operations territories (résumé).
  • Navigated complex multi-state regulatory requirements while maintaining delivery velocity (résumé).
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Featured story

0-1GeospatialField operations

Geospatial workflow & outage management platform

National Grid

Stand up new operator and field capabilities (location-based dispatch, real-time tracking, outage response) with integrations across hardware and enterprise systems.

Mission-critical field programs spanning geospatial dispatch, outage restoration, and enterprise system integration across service territories.

Role — Principal Product Manager (Nov 2022 – Present per résumé).
  • Built and launched 0-1 geospatial workflow and outage management platform with location-based dispatching, real-time job tracking, and supervisor review, integrating hardware, GIS, OMS, and SAP across multiple service territories (résumé).
  • Launched 0-1 mobile outage dispatch platform enabling field crews to restore power to critical infrastructure, reducing emergency restoration response times and improving coordination during major weather events (résumé).
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Featured story

EcommerceGrowthMarketplace

Ecommerce rebuild, growth, and marketplace

Sleepme Inc. ($50M+ revenue)

Grow revenue and retention under global supply chain shortage pressure while executing a simultaneous ecommerce platform rebuild and full rebrand migration.

Digital product leadership for a $50M+ revenue business during supply chain disruption, spanning DTC performance, platform modernization, and marketplace expansion (résumé).

Role — Digital Product Lead (Nov 2020 – Jan 2022 per résumé).
  • 15% revenue growth during a global supply chain shortage by optimizing product positioning, pricing strategy, and conversion funnels across DTC channels (résumé).
  • Executed simultaneous eCommerce platform rebuild + full rebrand migration, accelerating search rankings post-launch while maintaining business continuity; launched 0-1 third-party marketplace (résumé).
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Featured story

0-1AI/MLEnterprise collaboration

Real-time collaboration MVP

Oblong Inc.

Ship a net-new collaboration experience quickly while integrating ML/AI into the core product for enterprise use cases.

Enterprise collaboration product requiring a fast MVP with differentiated interaction model versus traditional screen sharing (résumé).

Role — Lead Product Manager (Jan 2022 – Nov 2022 per résumé).
  • Shipped real-time collaboration MVP in 4 months, replacing traditional screen-sharing with true simultaneous multi-user interaction, leveraging AI-powered design and development workflows to compress timelines (résumé).
  • Integrated ML/AI capabilities into core product, enhancing platform intelligence and user experience for enterprise collaboration use cases (résumé).
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How I operate

Operating model

A leadership system for turning ambiguity into aligned execution without diluting accountability.

  1. 01

    Find the real problem

    Reframe asks until the job-to-be-done, success criteria, and non-negotiable constraints are explicit, before roadmap theater consumes the team.

  2. 02

    See around the corner

    Stress-test assumptions with research, data, and second-order thinking so risks and opportunities surface while options are still cheap to change.

  3. 03

    Create clarity across teams

    Translate ambiguity into decision-ready narratives: what we know, what we believe, what we need to validate, and what happens next.

  4. 04

    Make tradeoffs explicit

    Name cost, scope, reliability, and stakeholder impacts in the same conversation so leaders choose deliberately, not accidentally.

  5. 05

    Drive measurable outcomes

    Tie execution to operational and business metrics, track leading indicators, and adjust plans when reality diverges from the model.

  6. 06

    Compress cycles with AI without skipping rigor

    Use LLM-assisted workflows to speed research, specs, and prototyping, then harden with explicit acceptance tests, human review gates, and production monitoring so “fast” does not become “fragile.”

Judgment

Seeing around the corner

Better decisions earlier come from disciplined inputs, not slogans. I default to critical research, clear success metrics, operational context, and explicit tradeoffs, then pressure-test conclusions against what similar patterns produced in other environments.

  • Critical research to validate problem framing before scaling investment
  • Quantitative and qualitative signal interpreted in operational context, not in isolation
  • Pattern recognition across startup, scaling, and enterprise delivery models
  • Explicit tradeoffs on reliability, compliance, speed, and total cost of ownership
  • Early attention to downstream risks: vendor dependencies, rollout load, and adoption friction
  • For AI-augmented work: prompt/version discipline, evaluation rubrics, and rollback paths before pilots widen

Artifacts

What I build with teams

Preview modules only, representative of the artifacts used to drive alignment, delivery, and measurement.

Requirements

Product requirements

Problem statements, acceptance criteria, and dependency mapping tied to outcomes.

AI delivery

Prompt & workflow specs

System and task prompts, tool boundaries, golden examples, and change logs so LLM-assisted workflows stay reviewable as they move toward production.

AI delivery

Evaluation & rollout plans

Rubrics, regression sets, pilot cohorts, and monitoring triggers so “works in demo” graduates to dependable operator and customer impact.

Strategy

Roadmap framing

Now / next / later views anchored on bets, constraints, and measurable signals.

Prioritization

Prioritization frameworks

Transparent scoring models that make cost-of-delay and risk visible to stakeholders.

Operations

Workflow redesign

As-is / to-be flows with operational controls, handoffs, and exception paths.

Rollout

Rollout planning

Phased adoption, training hooks, and success metrics by cohort or region.

Alignment

Stakeholder alignment

Decision memos, office hours, and exec-ready briefs that reduce hidden veto risk.

Decision quality

Decision logs

Record of alternatives considered, tradeoffs chosen, and signals that would change the call.

Measurement

Metrics & outcomes

Leading and lagging indicators tied to business and operational KPIs.

Architecture

System & integration maps

Boundary diagrams that clarify ownership, contracts, and migration risk.

Leadership

In complexity

Forward motion in large organizations rarely comes from perfect RACI charts. I work across engineering, design, operations, vendors, and leadership stakeholders to make constraints explicit, reduce thrash, and keep delivery aligned with business and regulatory reality.

Enterprise systems

Platforms, integrations, and modernization paths

Engineering

Technical feasibility, sequencing, and delivery risk

Design

Workflow clarity, service blueprints, and usable operator experiences

Operations

Field reality, SLAs, and process change management

Vendors

Procurement, accountability, and joint delivery governance

Leadership stakeholders

Alignment on bets, funding, and risk appetite

Regulatory & operational constraints

Non-negotiables modeled into product decisions

AI & automation

Augmentation vs automation choices, data governance, and operator-safe model behavior

About

How I am different

I am strongest when the path is not obvious yet: messy operating models, imperfect incentives, and multi-sided constraints. I treat AI/LLMs as accelerators for discovery and delivery only when paired with crisp intent, evaluation, and rollout discipline, so prototypes graduate to production without hiding risk in prompt magic. My background across lean startup delivery and large, vendor-heavy enterprise programs shapes how I frame problems, sequence bets, and keep teams moving without sacrificing rigor.

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