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PM leadership, AI-native.

Delivering impact and velocity for senior PMs and the companies building AI-era product operating models.

Brian Benitez has held multiple product management executive roles including MLB and Disney. Most recently CPO at the AI native company BoardLens, a seed-stage strategic intelligence platform for board directors and investors. Builder of ProductLobster, an AI PM partner for builders. Coach to senior PMs and product management executives.

Services

What you can work with me on.

Coaching for senior PMs and product executives; Fractional CPO and AI Product Operations consulting for the companies they work inside.

1:1 Coaching

1:1 Situational Coaching

Situational coaching for Product Managers from Senior ICs to Executives. Judgment applied to your situation, with custom artifacts and AI workflows you can use in your next review cycle.

Case Study: A Staff PM at a fintech-data company eight years stalled, labeled "technical." After six sessions: promoted in the next cycle, platform-wide scope expansion, leading to a new tier-1 company Staff PM role with significant compensation increase.
Fractional CPO

Fractional Chief Product Officer, AI-Native

A six-month Fractional CPO engagement for Series A to C companies whose product-engineering operating model is cracking under AI velocity. A phase structure your CFO can benchmark, with the AI-native overlay your CTO needs.

Case Study: BoardLens AI At a seed-stage AI startup in the governance and investor-intelligence space, I authored a production-depth artifact stack of strategy, PRD, agentic architecture, segmentation, and pricing. I led the team through a CTO-departure crisis and a 4-week rebuild of the product foundation.
AI Product Operations

AI Product Operations

A consulting thesis for companies whose engineering teams can now ship faster than product can decide. Rebuild the product-engineering handoff around AI velocity instead of adding longer PRDs and more meetings.

The work starts with the operating model: discovery gates, engineering-defined guardrails, data legibility, context repositories, codebase-aware PRDs, and real-data prototypes. This is the AI-native overlay inside my Fractional CPO work, and the framework I run in my own practice.
Thesis

Why this practice exists.

One operator, one methodology, multiple services. The patterns I teach senior PMs and product management executives are the patterns I install inside companies, and the patterns I run in my own practice. Coaching widens a career. Fractional CPO installs a product operating system in your company. The AI Product Operations framework rebuilds the product-engineering handoff for AI velocity inside that work. Same body of work, multiple expressions.

Read the essays at newsletter.pmcoaching.net

Proof

Where the work comes from.

Executive practice

MLB and Disney Streaming

Product management executive roles at enterprise consumer scale — most recently Executive Director of Product Management at Disney Streaming (Disney+).
Builder practice

ProductLobster

AI product management partner for non-PM builders. Conversational onboarding, focused analyses under 5 min, compounding knowledge graph. Private beta at productlobster.ai.
Fractional CPO

BoardLens

Authored the foundational strategy, PRD, agentic-architecture, and pricing artifacts; led the team through a CTO-departure crisis and a 4-week product-foundation rebuild.
Active coaching practice

Named engagements across senior PM transitions

Senior PMs in fintech-data and at a tier-1 developer tools platform, across promotion cycles, new-role interviews, and first-100-days transitions.
I owe you a bottle of champagne for that role.
Alex B., Staff PM at a tier-1 developer tools platform
Methodology

Installed, runnable, auditable.

The PM skills I teach in coaching are the same ones I install inside a Fractional CPO engagement. They live in a production harness — two years of daily use.

Coaching
Uses the harness for pattern-matching across prior client situations and for voice-consistent artifact delivery.
Fractional CPO
Installs the methodology as team rituals, named artifacts, and successor coaching. The team takes it over, not the harness.
AI Product Operations
Teaches the client team to build their own PM agent environment: context repositories, a data legibility layer, governed extracts, voice discipline, and product judgment adapted to the business.
Start here

Where to start.

I'm a senior PM or product management executive

Book a Coaching Intro.

30 minutes, no charge. We discuss what is actually stuck and whether a coaching engagement is the right next move.

We're a company

Request a Fit Call.

A direct 30-minute consulting conversation. Bring stage, engineer count, and the trigger.

Newsletter

PM leadership, AI-native — weekly.

Patterns from a working practice — what earns the next PM or executive title, what actually installs a product operating model, what makes engineering's AI velocity productive. Operator-to-operator, every week.

Archive at newsletter.pmcoaching.net.

AI Product Operations essays. Unsubscribe anytime.