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Fractional. Embedded. Output that ships.

I’m your

Fractional

Agentic

AI-native

Full-stack

Revenue

Embedded

AI Engineer.

Forward-deployed AI engineering for GTM and RevOps. Agents build in parallel. I review every line. Watch revenue run on rails.

Trusted by founders and revenue leaders at

Revenue infrastructure. Deployed with finesse.

I’ve shipped pipeline for global powerhouses, industry titans and the occasional avocado-on-toast lover. The systems work. The deals close.

Why hire me fractionally?

Hire one engineer. Get a 10-person GTM and RevOps team that never sleeps.

Most fractional hires bring opinions. I bring working systems, and the agents that run them. Signal and intent engines, waterfall enrichment, CRM architecture and attribution that ties revenue to source. Built in code, tested in loops, reviewed line by line. No deck. No playbook. A machine in your stack by week two, and you own every line of it.

Agentic

Eval-tested

Code you own

Human-reviewed

Live by week two

~/how-i-work.md

Multiple agents. Many models. One engineer.

I work like a small engineering team. Claude Code, Codex and Cursor build at once, with OpenCode on the long row jobs, each agent in its own worktree on the model that suits the task. Every change loops through build, test and review until the checks pass, and nothing merges until I have read the diff. A team's throughput. One engineer accountable for every line.

What clients say

These engagements. Same engineer.

Real engagements. Real revenue lifts. Same engineer you’d be hiring fractionally.

“Creativity as well as disciplined iteration are key to cutting through the noise in GTM engineering. Jared brings both in buckets.”
Antony Cousins
CEO at Factmata
“Jared opened many doors for us and consulted on our RevOps, marketing and sales process to achieve a 23% qualified lead conversion rate.”
Martin Burt
CEO at ClearStake
“We’ve been greatly surprised with the ideas and techniques Jared brought to the table and built into our GTM engineering. He has helped us consistently develop and grow.”
Andrew Daly
Kinetic-ID
“We’ve come across many GTM engineers who claim they can deliver, though none execute at the level and transparency Jared has. A good mix of ethical automation and clever engineering.”
John Hammond
Director of Operations at MindK
“The crème de la crème of GTM engineering. Extremely professional, proactive, plans ten steps ahead. I see him as an extension of our team.”
Dexter Hutchings
Marketing Manager at Mindset.ai
“Jared has worked tirelessly to build the GTM engine for a very early stage startup and get it off the ground. We are not an easy customer, but he keeps coming back with energy, ideas and solid execution.”
Jon Dweck
Founder & CEO at Space32
“Jared has been a fantastic partner on our GTM engineering. His deep technical expertise ensured everything, from infrastructure to deliverability, was handled with precision.”
Matt Sniff
CEO at CultureBot
~/engine-room.md

What I ship into your stack.

Live systems. Real wiring. No service decks. Eight systems I build, deploy and hand over inside your GTM and RevOps stack. Three of them run below.

online
01
Signal Engine
ICP × Signal × Persona
$ watch --accounts 10000→ replies 0.8% to 23%✓ £3.2M pipeline in five months
online
02
Intent Engine
Behaviour · Topic surge · Timing

A signal tells you why to reach out. Intent tells you when. Site visits, pricing-page returns, topic surges and review-site comparisons are scored over rolling windows, so you see which accounts are actively in market this week, not which ones changed something last month.

$ score --intent --window 14d
→ site, topic and review-site behaviour, scored daily
✓ outreach lands while they are in market
online
03
Mission Control
Domains · Sending · Deliverability
$ tail -f outbound.log→ 100+ meetings a month✓ 16.1% meeting rate
online
04
Revenue Graph
CRM · Attribution · Forecast
$ forecast --agent deal-risk→ £1.4M stalled pipeline recovered✓ forecast accuracy 31% to 92%
online
05
Agent Teams
SDR · Research · Marketing Ops · RevOps

Agents that do the daily work of SDR, research, marketing ops and RevOps. They research accounts, draft outreach, clean the CRM and route leads. Every send and every CRM write passes a human gate.

$ team up --sdr --research --revops→ agents run the daily work, a human approves at the gates✓ a team's output without the headcount
online
06
Lifecycle Autopilot
Lead routing · SLAs · Drift detection
$ pulse --route new-leads→ first touch under 60 seconds✓ lead to meeting 6% to 24%
online
07
Enrichment Loop
Waterfall · 29 providers · LLM
$ enrich --waterfall→ email coverage 62% to 94%✓ data costs down 68%
online
08
Content Machine
SEO · AI search · Publish loop

An SEO and AI-search content engine. Search and behaviour data lands in Supabase, Claude Sonnet 5.5 writes to a brief, automated checks enforce the brief and the house voice, drafts go straight to WordPress, and published performance picks the next batch.

$ engine run --batch weekly
→ 16 of 16 drafts pass the brief checks
✓ about $0.19 per long-form article

Get in touch

Building from scratch or fixing what's there?

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