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Kompella Technologies

San Francisco, California · From $8,000/month

Fractional CTO in San Francisco

AI-native architecture and Bay Area-grade engineering culture for SF startups competing for the same engineers as OpenAI and Anthropic.

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A fractional CTO in San Francisco provides senior technology leadership 1–3 days per week for AI/ML, SaaS, fintech, and developer tools startups. Engagements run $8,000–$25,000 per month — roughly 30–50% the all-in cost of a full-time CTO hire. AI-native architecture and Bay Area-grade engineering culture for SF startups competing for the same engineers as OpenAI and Anthropic. Most San Francisco engagements start within 2 weeks and operate on the Pacific (UTC-8) timezone with USD billing available.

The San Francisco Ecosystem

Why a fractional CTO works for San Francisco startups.

San Francisco's tech ecosystem is in a moment that won't last forever. The post-2022 contraction is over; the city is the AI capital of the world (OpenAI, Anthropic, Scale AI, and Databricks all run their flagship engineering out of SF), Stripe and Notion still anchor SaaS, and Series A/B activity has rebounded sharply through 2025–2026. For technical founders, this means the expectation bar is high. SF investors and customers assume your team has shipped real software; they will not be patient with vague AI claims, hand-wavy architecture, or roadmaps that don't tie to revenue. For a fractional CTO engagement, the SF context creates two specific dynamics. First, the talent market is the most expensive and most competitive in the world. Engineers who have shipped at OpenAI or Stripe routinely receive offers approaching seven figures total comp; mid-tier startups need a CTO who can both compete on narrative and pick the engineering battles that matter most. Second, the AI gravity well is real — almost every founder we talk to in SF is rethinking their roadmap to either include AI as a feature or build defensively against AI-native competitors. The verticals where fractional CTO leadership creates the most leverage: AI-native vertical SaaS (where the moat depends on data and evaluation rigor), fintech and crypto infrastructure (still a meaningful pocket of activity), climate tech (partially supported by federal IRA funding), and developer tools. The Embedded tier ($25K/mo) is more common in SF than anywhere else because of the depth of work expected.

Local Context

Pattern-matched for AI/ML, SaaS, fintech, and developer tools.

San Francisco engineering talent often comes through OpenAI, Anthropic, Stripe, Databricks, and the founder market expects fractional leadership that has shipped at that bar. We have.

What You Get

Same playbook as our service page — applied to San Francisco startups.

Technical Architecture & Strategy

We choose your stack, design your system architecture, and define the infrastructure strategy that maps to your next 18 months of business outcomes — not the next quarter's hype cycle.

Engineering Team Building

We write the JD, run the technical loop, calibrate the bar, and close strong candidates. We've hired engineers from staff to senior, in the US, India, and EU.

Product & Roadmap Ownership

We translate business goals into a technical roadmap with concrete trade-offs: what we build now, what we defer, what we kill. Engineering knows what to ship next.

AI & Automation Strategy

We identify where AI creates real leverage versus where it's a feature for the deck. Model selection, evaluation, MLOps, and the build-vs-buy line.

Vendor & Build-vs-Buy Decisions

We evaluate platforms, tools, and outsourcing partners against your stage and trajectory. Build only what differentiates; buy everything else.

Board & Investor Communication

We prepare technology updates for board meetings, lead due-diligence sessions during fundraises, and translate engineering reality into language investors trust.

Pricing in San Francisco

Three transparent tiers — billed in USD.

Advisory

$8,000 / month

1 day/week

Strategic guidance, architecture review, board prep, hiring calibration. No day-to-day ownership.

Ideal stage

Pre-seed founders, post-launch teams with a junior CTO

Fractional

$15,000 / month

2 days/week

Embedded leadership: roadmap ownership, hiring, code/architecture decisions, board updates.

Ideal stage

Seed–Series A startups; growth-stage teams scaling engineering

Embedded

$25,000 / month

3+ days/week

Near-full-time CTO involvement. Major migrations, IPO prep, building from scratch, or replacing a departed CTO.

Ideal stage

Series A/B in critical phases; PE-backed portfolio companies

FAQ

San Francisco-specific questions.

Yes. We've helped Series A/B AI startups build hiring funnels and engineering cultures that compete on something other than raw compensation — research time, customer impact velocity, equity narrative, and technical autonomy. We don't pretend we can win every offer; we focus on winning the right offers.
Most SF engagements include 1–2 days per month in person, typically in SoMa or the Mission. For embedded-tier engagements, we can pair you with a fractional CTO based in the Bay. The rest of the week is in your Slack, GitHub, and standups.
We don't try to match the ceiling — we match credibility, focus, and career velocity for engineers who don't want to be employee #2,000 at a frontier AI lab. Most senior SF engineers will trade comp for ownership and impact when the technical leadership is strong and the problem is real. We help you make that case.
Yes. We architected the multi-AI orchestration layer at Sociail (Claude, GPT, Gemini, Perplexity), built evaluation harnesses for production LLM pipelines, and have shipped agent and RAG systems in healthtech and SaaS. We treat evaluation infrastructure as non-optional — "we shipped without evals" is the leading indicator we're going to spend the next quarter cleaning up production.

Building something in San Francisco? Let's talk.

30 minutes. Three specific recommendations. No deck, no pitch — just judgment from someone who's shipped 75+ products across AI/ML, SaaS, fintech, and developer tools.

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