AI GTM ENGINEER (H/F)

About the company : The Revenue Architects is a GTM Engineering Studio that builds modern go-to-marketsystems for the best tech companies in the world. We work with Canva, Descript, andWorkOS -- category-defining B2B companies backed by top-tier investors. We are not a traditional agency. We operate as an embedded engineering team,deploying AI-powered revenue systems that span data, enrichment, outbound, CRM,intent signals, and lifecycle automation. Behind the client work sits our own platform: asuite of internal apps, agents, and data pipelines that let a small team deliver like a largeone. We want to stay small -- a handful of senior people -- and get a 10x out of agentsinstead of headcount. This role is how we get there. Applicants must be eligible for a J-1 ‘Trainee’ visa : o Either be a graduate or awaiting their diploma (diploma must be obtained at least 15 days before departure), AND be able to demonstrate at least 52 weeks of full-time professional experience in a company (including internships) related to the V.I.E. assignment : https://mon-vie-via.businessfrance.fr/destinations/etats-unis The Role : This is a forward-deployed engineer role, pointed at go-to-market. Half of it is client work: you sit with growth and RevOps leaders, understand what theyare trying to move, and ship the system that moves it. The other half is internal: youown the platform and the agent workflows the whole team runs on, and you make themfaster, more reliable, and more reusable every week. The two halves feed each other. What you learn on a client becomes a reusable piece ofthe platform. What you build on the platform makes the next client faster. What Makes a Candidate Stand Out : Software engineering experience followed by a forward-deployed, solutions, or sales engineering role / Has built an agent, eval, or review loop that runs in production -- not just a demo / Has set up CI/CD or automated quality checks on a codebase or data pipeline / Has worked with a warehouse (Snowflake, BigQuery, Postgres) and modeled data for a business use case / Has built Clay workflows, enrichment pipelines, or outbound infrastructure / Has a personal project, side business, or open-source contribution that shows they build on their own / Has worked at a startup or small team where nobody told them what to do next What Gives Us Pause : Pure DevOps or backend background with no customer-facing or business exposure / Pure business or ops background with no exposure to technical problems / Over-scoping and over-engineering: weeks on architecture before anything ships / Cannot point to something they built end-to-end and shipped Must-Have : - AI-assisted building : Claude Code, Cursor, or equivalent; agent SDKs - Engineering : Python or TypeScript, SQL, APIs, webhooks, git, CI/CD - Data : a warehouse (Snowflake, BigQuery, or Postgres) -GTM : Clay or equivalent; Salesforce or HubSpot Nice-to-Have : - Evals and agent quality tooling (Braintrust or similar) - Next.js / Vercel, Supabase - dbt or similar data modeling - Outbound infrastructure (Instantly, Smartlead, HeyReach) What You Will Do : Ship client systems. Take a business objective from a client ("route website visitors to sequences by intent", "fix our account scoring") and turn it into a working system within days, using Clay, the CRM, the warehouse, APIs, and agents. You will be on calls, present your work, and iterate live. Own the internal platform. Maintain and extend TRA's suite of internal apps and the underlying data layer (Snowflake, Supabase) that client work depends on. Decide what the right data model is, what gets automated, and what gets thrown away. Build the quality loop. Every time someone on the team pushes work -- code, a Clay table, a client deliverable -- an agent should review it, check it against how a senior GTM engineer would judge it, and flag when a human needs to look. You build and run that loop: agent reviews, evals, CI/CD for GTM work. Turn one-off delivery into repeatable process. Most clients need the same 80%: get warehouse access, map the CRM, build the data model, wire the signals. You turn what we did ten different ways into one playbook that agents can execute, and you keep it current. Run the research loop. Benchmark new models, tools, and agent frameworks. Test what is coming out, keep what works, write down why. You spend real tokens figuring out how the platform should be built. Raise the team's AI reflexes. Show the rest of the team how to have an agent review their work, how to commit and open PRs, how to get more out of Claude Code. Engineering best practice is part of the job, not a side project. Compensation and Benefits : VIE indemnity per Business France scale (San Francisco rate) Housing supplement Health insurance via Business France Working directly with the founder in San Francisco Access to the entire TRA client portfolio and GTM tool ecosystem Path to full-time employment for outstanding performers

-A rigorous academic background.You studied at an engineering school,or at a top business school in a quantitative track(finance,data,economics,applied math).Either way,your studies put you in front of hard technical problems and taught you to work through them.-You can code and have shipped real software.At work,at school,or on your own:something people actually used.You know git,PRs,testing,and CI/CD,and how to keep a codebase healthy.You do not need to be a senior backend engineer.You need the concepts.-Then you went customer-facing.You moved into a forward-deployed,solutions,or technical consulting role,ideally with startups or technical companies.You have sat with a customer,understood the business problem behind the ticket,and shipped something they cared about.-You understand the business,not just the stack.You cannot build the right GTM system if you do not understand why the client needs it.You know what pipeline,conversion,and ICP mean,and you prioritize by what moves them(not by what is technically most interesting).-You switch altitude easily.With a VP,you give three clean bullet points and a recommendation.When they push on a number,you have the detail ready.You know the difference between the front-end of a deliverable and what is under the hood,and you make both good.-You build with AI by default.Claude Code,Cursor,agents(this is how you work,not something you are trying out).You run an agent over your work before anyone else sees it.You would rather spend an hour building a harness than an hour checking something by hand.-You are autonomous and fast.You take a three-sentence brief and come back with a working system.You ship 80% today and iterate,rather than designing the perfect architecture nobody asked for.-You stay at the frontier.You can name the three most interesting things that happened in AI agents or GTM this week,because you tried them.-Communication in English.All client work is in English.French is a plus for internal team coordination.

EFE International permet et facilite l’accès au dispositif Volontariat International en Entreprise (V.I.E) pour les Entreprises de Français.es à l’Etranger (E.F.E). EFE International a été créée en 2021 afin de valoriser les entrepreneurs français dans le monde, avec un triple objectif : -Développer le commerce extérieur de la France , -Renforcer les liens déjà existant des E.F.E avec la France , -Donner de nouvelles opportunités à de jeunes professionnel.les. EFE International transmettra à l’E.F.E qui recrute, votre candidature : à vos CV et lettre de motivation !