Designed Partners  //  Fractional CTO Practice Est. — designedpartners.com Vol. 01

Senior technology leadership, fractionalized.

— What we do

We embed as your CTO for one or two days a week. Strategy, architecture, hiring, AI roadmap, vendor decisions — the judgment a full-time hire would bring, without the headcount.

— Who it's for

Founders shipping their first product. Series A teams scaling past their first ten engineers. Operators inheriting tech debt. Boards needing technical due diligence they can trust.

— How it starts

A two-week diagnostic. We map the system, the team, the risks, and the roadmap. You get a written assessment whether or not we keep working together.

A great CTO is part architect, part recruiter, part diplomat, and part skeptic. They translate between engineers and the board. They know what to build and — more importantly — what not to.

Most growing companies don't need a full-time CTO. They need someone who has done it before, knows the patterns, and can make the right call in the room — about the AI vendor, the cloud bill, the senior hire, the security audit.

We work with three to five clients at a time. Each one gets the same standard of judgment we'd bring as a full-time executive: hands-on enough to read the code, strategic enough to talk to investors, opinionated enough to be useful.

This is not advisory. This is operating partnership.

§ 01

What we actually do

§ 02

The capabilities a modern CTO should command

— A1 / Intelligence

AI & Large Language Models

Frontier model selection, prompt engineering, fine-tuning vs. RAG trade-offs, agentic workflows, and rigorous evaluation. Knowing where the technology is real and where it's still marketing.

  • Claude
  • GPT-4
  • Gemini
  • Llama
  • Evals
  • Agents
  • MCP
— A2 / Retrieval

Intelligent Search & RAG

Embeddings, vector databases, hybrid search, and chunking strategy applied to SharePoint, OneDrive, and internal corpora. Permissions-aware retrieval that actually respects ACLs.

  • Pinecone
  • Weaviate
  • Azure AI Search
  • M365 Copilot
  • Glean
— A3 / Data

Modern Data Stack

Lakehouse architectures, transformation pipelines, semantic layers, and the difference between a dashboard and a decision-making system.

  • Snowflake
  • Databricks
  • dbt
  • BigQuery
  • Fivetran
— B1 / Cloud

Cloud & Edge Architecture

Multi-cloud reality, serverless where it earns its keep, edge compute for latency-sensitive workloads, and a ruthless eye on the monthly bill.

  • AWS
  • Azure
  • GCP
  • Cloudflare
  • Vercel
  • Fly.io
— B2 / Platform

Developer Platform Engineering

Internal developer platforms, golden paths, and the unsexy infrastructure that makes a 50-engineer team ship like a 5-engineer team.

  • Backstage
  • Kubernetes
  • Terraform
  • GitHub Actions
  • ArgoCD
— B3 / Observability

Observability & Reliability

OpenTelemetry-native instrumentation, SLOs that match the business, and incident response that actually learns from itself.

  • OpenTelemetry
  • Datadog
  • Grafana
  • Honeycomb
  • Sentry
— C1 / Security

Security & Trust

Zero-trust networking, secrets management, SBOMs, supply-chain security, and a posture that survives the first enterprise security questionnaire.

  • SOC 2
  • ISO 27001
  • Zero Trust
  • SBOM
  • Vanta
  • Drata
— C2 / Frontend

Modern Frontend & UX Engineering

Server components, edge rendering, design systems, and the boring discipline of accessibility and performance budgets.

  • Next.js
  • React
  • Svelte
  • Remix
  • Tailwind
  • Figma
— C3 / Product

Product & Engineering Practice

Trunk-based development, continuous deployment, experimentation infrastructure, and a sane approach to feature flags and progressive delivery.

  • CI / CD
  • Trunk-based
  • LaunchDarkly
  • Statsig
  • Linear
§ 03

What to look for in a CTO

A short, opinionated brief.

If you're hiring fractional or full-time, these are the qualities that separate a useful CTO from a glorified senior engineer. Read it as our self-assessment, too.

Read the full brief →
  • / 01

    Pattern recognition across stages

    Knows what a 5-person team needs versus a 50-person one. Won't over-engineer day one or under-architect day one hundred.

  • / 02

    AI literacy without the kool-aid

    Can tell you when an LLM is the right tool — and when a regex, a search index, or a phone call would do.

  • / 03

    Vendor-agnostic but opinionated

    Not on commission. Will recommend Snowflake or Postgres, AWS or Cloudflare, build or buy — based on your situation, not their last gig.

  • / 04

    Bilingual: code & boardroom

    Hands-on enough to review a PR and spot the architectural mistake. Strategic enough to walk a Series B investor through your moat.

  • / 05

    Security as a default posture

    Treats SOC 2 and zero-trust as table stakes, not a panic-driven Q4 sprint. Knows what to delegate, what to automate, and what to refuse.

  • / 06

    Cost discipline — especially with AI

    Cloud and inference bills can quietly eat your margin. A modern CTO measures cost-per-request, not just latency.

  • / 07

    A bias for writing things down

    Decisions in a doc, not in someone's head. ADRs, runbooks, post-mortems. The tax that compounds into clarity.

§ 04 — Begin

Let's talk.

A 30-minute call. Tell us what you're trying to ship, what's in the way, and where the pressure is coming from. We'll tell you whether we can help — and if not, who can.