heyarnoux.

GTM x AI Engineers · Example Profiles

The people who actually build it.

Embedded, full-time GTM x AI engineers. They join your Slack, work your backlog, ship daily. The strategy is rarely the hard part, the building is. This is the bench that builds, with my architecture and weekly oversight on top.

← Back to the engagement page
EUR 5,500Per engineer per month
72hTo start
Month 1Money-back if not happy
90 daysReplacement guarantee
30+Engineers on the bench
95%First-year retention
YOUR TEAM your embedded engineer
your people the engineer, full-time inside the team, a different colour on the org chart
How to read this page. Representative example profiles, anonymized like the real ones. When you engage you get three real profiles matched to your use case, one recommended.
Step 1Tell me the use case

Requirement analysis, 1 to 2 days. What you want built decides who you meet.

Step 2Meet 3 profiles

Three anonymized profiles from a 30+ bench, one flagged as my recommendation. Your pick.

Step 3Call before kickoff

You talk to your engineer before anything starts. Wrong fit? You meet the next one.

Step 4Embedded in 72h

Inside your Slack and your tools, shipping in week one. Money-back month 1, 90-day replacement.

The bench · six example profiles

What the profiles look like.

Each one shows the superpower, the shipped work with employers removed, the relevant experience and the stack. Real profiles arrive in this exact format, matched to what you want built.

Example of a recommended match
E1
AI Engineer · Signal Engines6 yrs · scoring + next-best-move
AvailableEN · FRFull-time · embeddedALX-trained

Lead scoring and signal engines, end to end. Six years across data, backend and the AI layer. Turns first, second and third-party signals into a score a rep actually trusts, with the reason for the score attached so adoption sticks. The one you point at your hardest revenue-signal problem.

78kcontacts scored nightly
~1%false-positive rate
~20/mowarm inbound surfaced
Shipped · employers anonymized
  • Account-scoring engine for a B2B marketplace. 78k contacts scored nightly, ranked rep lists, next best move drafted per account.
  • Explanation-of-score layer. Every lead shows why it scored, the piece that got the sales team to actually trust it.
  • Visitor-detection + hand-raiser engine for an ABM agency. Warm inbound went from a trickle to roughly 20 a month.
  • CRM cleanup pipeline. Dedupe, owner rules, stage hygiene across 250k records, human-approved merges.
Relevant experience
Embedded, via AYTalentcurrent
GTM x AI Engineer

Builds scoring and signal engines inside client GTM teams, ships to production weekly.

A B2B marketplacefull-time
Data / AI Engineer

Owned the nightly scoring pipeline across 78k contacts, from ingestion to the rep-facing app.

Stack
Claude CodeMCPn8nSupabaseHubSpot APIClayBigQueryPython
E2
Full Stack Engineer · Internal Tools7 yrs · apps + dashboards
AvailableEN · FR · ARFull-time · embedded

Full-stack, product-grade. Seven years shipping the apps and dashboards a GTM team lives in. Builds the rep-facing surface, the secure auth underneath and the mission-control view on top, so the whole team sees the same numbers refreshed nightly.

40reps on the app he built
nightlymission-control refresh
E2Eencrypted, full audit trail
Shipped · employers anonymized
  • Rep enablement app for a sales team of 40. Hot lists, score transparency, per-lead feedback loop, OAuth on the company domain.
  • Mission-control dashboard for a marketplace GTM team. Pipeline, spend and engine health in one page, refreshed nightly.
  • Client portal with end-to-end encrypted credential handling and a full audit trail.
  • Secure multi-user layer. The whole team runs the agents while the core keys stay locked away from them.
Relevant experience
Embedded, via AYTalentcurrent
Full-Stack Engineer

Builds internal GTM tools and dashboards inside client teams, front to back.

A marketplace GTM teamfull-time
Product Engineer

Shipped the mission-control dashboard and the rep enablement app end to end.

Stack
Next.jsVercelSupabaseClaude CodePostgresTypeScriptOAuth
+ 4 more example profiles
E3
Automation Engineer · Rails5 yrs · n8n + integrations
AvailableEN · ARFull-time · embedded

Automation-first. Five years wiring systems that never spoke before into reliable, human-gated rails. Multichannel outreach, 200+ integrations, reactivation engines, every one with alerting and budget caps so nothing runs away unattended.

200+integrations shipped
3channels on one rail
humansend gates on everything
Shipped · employers anonymized
  • Multichannel outreach rails. Email + LinkedIn + WhatsApp sequences with human send gates, wired through Instantly, Unipile and a WhatsApp Business rail.
  • 200+ integrations across CRMs, ad platforms and data providers, monitored with alerting and budget caps.
  • Reactivation engine on dormant accounts for an e-commerce platform. Drafted messages, human approved.
  • Owner-rules + dedupe automation that keeps the CRM clean without a human babysitting it.
Relevant experience
Embedded, via AYTalentcurrent
Automation Engineer

Builds outreach rails and integration engines inside client teams, human-gated.

An e-commerce platformcontract
Automation Engineer

Built the reactivation engine on dormant accounts, drafted and human-approved.

Stack
n8nClaude CodeTwilioUnipileInstantlyZapier exitsPython
E4
AI Engineer · RAG + Brains4 yrs · second brains + MCP
Placed · waitlistEN · FRFull-time · embedded

Second brains and retrieval. Four years turning scattered company knowledge into one queryable memory your team taps from their own tools over MCP. PII-masked, role-based, EU-hosted, every query logged. Currently placed, on the waitlist for the next opening.

40+sources in one memory
90sto read a meeting brief
EUhosted, role-based access
Shipped · employers anonymized
  • Company second brain for a marketplace. 40+ data sources into one queryable memory, MCP access for the client’s own team.
  • Meeting-brief generator. CRM + calls + news compressed into one screen, 90 seconds to read.
  • Data-privacy hardening. PII masking, role-based access, EU hosting, logged queries.
  • Context layer wired into the client’s own Claude, so their team asks the brain from where they already work.
Relevant experience
Embedded, via AYTalentcurrent
AI Engineer, RAG

Builds company second brains and MCP retrieval layers inside client teams.

A marketplacefull-time
AI Engineer

Built the company second brain across 40+ sources plus the privacy hardening.

Stack
Claude CodeMCPAnthropic APIE2BBigQuerypgvectorPython
E5
Growth Engineer · SEO x GEO6 yrs · content factories
AvailableEN · FR · ARFull-time · embedded

SEO x GEO content factories. Six years building the machine that gets you found in search and in the AI answers. Programmatic pages behind a quality gate, plus a GEO tracker watching what the LLMs cite about your category, so you know where you show up and where you do not.

7 daysto rank a new offer
120buyer questions tracked
LLM-citedcomparison pages
Shipped · employers anonymized
  • Page factory with a quality gate for an accounting software company. Ranked on a new regulatory offer inside 7 days.
  • GEO citation tracker. 120 buyer questions watched across ChatGPT, Perplexity and AI Overviews, gap reports weekly.
  • Programmatic comparison pages that the LLMs now cite in category answers.
  • Content ops with a human review gate. Volume without the sludge, every page checked before it ships.
Relevant experience
Embedded, via AYTalentcurrent
Growth Engineer, SEO / GEO

Builds page factories and GEO trackers inside client marketing teams.

An accounting SaaScontract
Growth Engineer

Built the page factory plus the GEO citation tracker across the category.

Stack
Claude CodeDataForSEOGSC APINext.jsScreaming FrogPython
E6
AI Engineer · Ads + Signals5 yrs · paid media engines
AvailableEN · FRFull-time · embedded

Paid-media engines. Five years closing the loop between revenue and the ad platforms. Feeds closed-won back as the bidding signal, runs a creative testing loop that compounds, wraps every budget move in guardrails so a bad night cannot drain the account.

closed-wonfed back as the bid signal
compoundingcreative test loop
autocaps, canaries, rollbacks
Shipped · employers anonymized
  • True-conversion feedback loop. Closed customers and revenue fed back to the ad platforms as the bidding signal.
  • Creative testing loop. Brief, generate, test small, judge on buyers, learn. Every generation starts where the last finished.
  • Spend guardrails. Caps, canaries and automatic rollbacks on every budget move.
  • Cross-platform reporting. Google and Meta pulled into one view your team reads in a glance.
Relevant experience
Embedded, via AYTalentcurrent
AI Engineer, Ads

Builds bidding-signal loops and paid-media guardrails inside client growth teams.

A DTC brandcontract
Paid Media Engineer

Built the true-conversion feedback loop plus the spend guardrails.

Stack
Google Ads APIMeta APIClaude CodeBigQueryn8nPython

Want the three real profiles for your use case?

Tell me what you want built. You get three anonymized profiles matched to it, one recommended, then a call with your pick before anything starts. Terms are in the strip up top.

Book a scoping call →

Placement runs through AYTalent. Engineers are employed, trained and backed by the bench, never freelance one-offs.

Want profiles by email first?

Tell me the job to be done. I reply with three matched profiles.

Got it. Profiles land in your inbox shortly.