Senior Product Manager

I lead products from discovery to adoption.

Complex B2B products | SaaS | Applied AI

I work with customers, sales, customer success, design, engineering, and marketing across the full product cycle, from understanding the problem and testing a prototype to development, launch, and adoption.

Mike Ketabforoosh

A few outcomes

Results from product, pricing, and adoption work over time.

20%

Faster product refresh

From work that connected new security concerns with the case for modernization.

$6M

Lower annual cost

From redesigning service packaging and the operating model behind it.

$1M

First-year recurring revenue

From a new premium service offer built and launched with partner teams.

30%

Higher adoption

After removing lifecycle and operating barriers for service providers.

Read the recent work

How I work

From the first customer conversation to launch and adoption.

On new product work, founder mode means taking responsibility for the whole learning loop. I gather evidence, bring the right functions together, test ideas early, guide the work through delivery, and remain involved as it reaches the market.

  1. Learn

    Talk with customers and combine what I hear with evidence from sales, customer success, product usage, and the market.

    • Customers
    • Sales
    • Customer Success
  2. Frame

    Define the user, problem, value, risks, and the evidence that would justify further investment.

    • Product
    • Business
    • Technical leads
  3. Prototype and test

    Make the idea tangible with design and engineering. Put it in front of customers and iterate before committing to a full build.

    • Customers
    • Design
    • Engineering
  4. Build and prepare

    Guide scope and tradeoffs through development while marketing, sales, and customer success prepare the route to market.

    • Engineering
    • Design
    • Marketing
    • Sales
  5. Launch

    Coordinate the release, positioning, enablement, customer communication, and early adoption support.

    • Marketing
    • Sales
    • Customer Success
  6. Measure and improve

    Review usage, adoption, commercial results, and customer response. Carry that evidence into the next cycle.

    • Customers
    • Data
    • Cross-functional team

Fit is tested across the loop: prototype feedback reduces risk, but launch, adoption, and retention show what should change next.

Recent product work

Four examples of the problems I have been working on.

The company and technology provide the context. The cases focus on the product work: understanding the problem, coordinating decisions, and following through.

01

Market response

Responding to new security concerns around AI adoption

I worked with customers, security specialists, and go-to-market teams to understand how AI adoption was changing infrastructure risk, then helped translate that into product priorities and a clearer case for modernization.

Read the case study
02

Portfolio work

Coordinating work across two product portfolios

I work across product groups to make capabilities more consistent across two portfolios while preserving the differences that matter to their customers and operating models.

Read the case study
03

Platform research

Exploring new uses for an established virtual platform

I contributed to research for the next virtual platform generation, focusing on cloud, edge, and AI-related deployment needs and their product and packaging implications.

Read the case study
04

Applied AI

Finding practical uses for generative and agentic AI

I am helping define where AI can improve network operations, and where trust, explainability, and human control need to shape the product.

Read the case study

Capabilities

What I bring to product work

Product judgment, cross-functional execution, and technical fluency.

Product judgment

Customer research, market context, portfolio choices, pricing, positioning, and go-to-market work.

  • Market intelligence
  • Portfolio
  • Pricing
  • GTM

Cross-functional execution

Coordinating decisions from the initial investment through roadmap, launch, adoption, and operations.

  • Roadmaps
  • Operating models
  • Adoption
  • KPIs

Technical fluency

Hands-on work with AI workflows, SaaS, cloud, APIs, security, and enterprise systems helps me ask better questions and explain tradeoffs more precisely.

  • AI workflows
  • Platforms
  • SaaS
  • APIs

Learning by building

Building changes how I work

When it is my own product, I cannot stop at the roadmap. I have to prototype it, debug it, price it, explain it, find users, and learn from what happens. That experience makes me faster and more useful in my product work.

How that experience transfers into my product work

Practiced by building

Prototype sooner

AI-assisted prototyping

Applied in my product work

I can turn an early idea into a realistic, product-like prototype instead of a rough slide. Customers can respond to actual interactions, while designers and engineers receive clearer evidence for the production solution.

Practiced by building

Test more thoroughly

Operating and testing software

Applied in my product work

I run automations, reproduce failures, explore edge cases, and file bugs with clearer evidence. This reduces back-and-forth and helps engineering teams diagnose problems faster.

Practiced by building

Write more clearly

Publishing for real users

Applied in my product work

Publishing my own products forces me to state the audience, problem, value, and next action precisely. I apply that discipline to requirements, positioning, launch material, documentation, and sales enablement.

Practiced by building

Price practically

Pricing my own products

Applied in my product work

Working through packaging, willingness to pay, usage limits, costs, and alternatives gave me practical pricing experience. I now bring commercial questions into product choices earlier.

Practiced by building

Find demand signals

SEO and distribution

Applied in my product work

Keyword research, content, and social media taught me how customers describe problems and discover products. I use search behavior as one signal alongside interviews, usage, sales feedback, and competitive research.

Practiced by building

Work better with engineers

Building technically complex products

Applied in my product work

Building with AI and tackling Beadela's image-to-pattern system improved how I decompose complex problems, define constraints, test edge cases, and discuss implementation tradeoffs with engineers.

Writing

Notes from what I am learning

Product management, AI, entrepreneurship, identity, health, and the experiments in between.

See every post

Get in touch

Want to talk about a product problem?

I am based in Silicon Valley. Tell me what you are working on or simply say hello.

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