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Professional Services • Consulting
Researches and builds agentic AI capabilities for marketing workflows, combining experimental development with production delivery. Evaluates models and orchestration frameworks, develops knowledge graphs for recommendations and personalization, integrates marketing data platforms, and creates LLM evaluations, observability, and performance diagnostics. The role also identifies emerging AI capabilities and requires expertise in applied machine learning, NLP, agent frameworks, retrieval-augmented generation, embeddings, and marketing analytics.
Top Skills:
Adobe AepAdobe AnalyticsAdobe CdpContentfulEmbeddingsGrounded GenerationKnowledge GraphsLangchainLanggraphLarge Language ModelsPythonRetrieval-Augmented GenerationTealium
Artificial Intelligence • Consumer Web • HR Tech • Other
Build and optimize production-grade agentic AI systems for marketing and enterprise customer experience use cases. Responsibilities include agent orchestration, tool use, RAG, embeddings, guardrails, LLM evaluation, observability, performance optimization, and scalable Python services deployed on AWS. The role partners across product and engineering teams and requires hands-on experience with LLM agents, marketing data platforms, retrieval systems, and AI evaluation.
Top Skills:
Adobe AnalyticsAdobe CommerceAdobe Experience PlatformAdobe Real-Time CdpAdobe TargetAWSClaude AgentClaude CodeCodexCursorCustomer Journey AnalyticsDeep AgentEmbeddingsLangchainLanggraphMagentoOpenai AgentPythonRagVector Databases
Big Data • Information Technology • Analytics • Business Intelligence
Build and ship AI-driven GTM systems: outbound lead engine, inbound/lifecycle automations, AI-assisted content pipeline, data/reporting layer, and fast production patches to eliminate manual marketing workflows.
Top Skills:
Agent FrameworksApi IntegrationsApolloClaudeClayEmail InfrastructureGpt (Openai)HubspotLlm ApisMakeN8NPrompt EngineeringPythonRagSalesforceTypescriptWeb ScrapingZapier
Translate enterprise AI engineering work into compelling videos, articles, demos, and social content. Build marketing automation tools such as scrapers, agentic case-study generators, microsites, and pipeline dashboards using Python or TypeScript. Own publishing and measurement across major channels, run marketing experiments with real budgets, and connect storytelling to business results. The role requires strong writing, hands-on coding, genuine AI expertise, a portfolio demonstrating range, and willingness to work in New York or San Francisco.
We build production AI systems for enterprises. We are an AI-first systems integrator and a Select-tier partner in Anthropic's Claude Partner Network, among the first integrators selected. The work is good. Most people have never heard of it.
That is the job.
We are looking for one person who can tell the story of what we build and build things themselves. Not a marketer who uses AI tools. Not an engineer who writes copy. Someone who moves between the two without noticing the border.
What you will do:
- Turn real engineering work into stories people share. You will sit close to the teams shipping AI systems for banks, healthcare companies, and PE-backed operators, and translate what they built into video, writing, and demos that travel
- Build the tools that make the marketing work. A scraper that watches what our market is saying. An agent that drafts case studies from delivery artifacts. A microsite for a launch. A dashboard that shows which stories moved pipeline. You write the code. You do not file a ticket and wait
- Own channels outright. Write, publish, and measure across LinkedIn, YouTube, X, and whatever channel matters six months from now that does not matter today
- Run experiments and kill the ones that lose. Real budget and real autonomy, in exchange for showing your numbers
What we are looking for:
- You have shipped things people used. A side project, a channel with a real audience, a tool, a launch. We care more about what you built than where you interned
- You write well and you have a point of view. You can hold attention for 90 seconds on video and 900 words on a page
- You code. Python or TypeScript, comfortably. You use Claude Code, Cursor, or equivalent every day and you have opinions about them. You have built something agentic that does actual work
- You are genuinely interested in AI, not performatively. You read the papers or you read the people who read the papers, and you have changed your mind about something in the last six months
- You are 0 to 2 years in, with an internship where the bar was high and a portfolio that shows range
- You are in New York or San Francisco, or you will be
What we offer:
- Competitive base salary
- 401(k) profit sharing plan after probation period
- Unlimited PTO policy
- Medical, Visual and Dental insurance
- Direct access to the people building the systems and to the executives selling them. Small team, no layers between you and the work
- A budget for tools, models, and experiments, with no approval chain under a threshold
- Promotion tied to output, not tenure
How to apply:
Do not send a cover letter. Send three links: something you wrote, something you built, and something you posted that got a reaction. One paragraph on why the third one worked.
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Raincouver, Vancity, The Big Smoke — Vancouver is known by many names, and in recent years, it has gained a reputation as a growing hub for both tech and sustainability. Renowned for its natural beauty, the city has become a magnet for professionals eager to create environmental solutions, and with an emphasis on clean technology, renewable energy and environmental innovation, it's attracted companies across various industries, all working toward a shared goal: advancing clean technology.
