Revenue Architect

Profound is the fastest-growing AI marketing platform, used by 15% of the Fortune 500 including Comcast, Estée Lauder, and Walmart, and innovators like Ramp, MongoDB, and Figma. It is where marketing teams do the work: research, briefs, content, campaigns, reporting, all in one place, alongside agents that carry the load with them.

Built on 2B+ real user prompts and growing, Profound’s data shows you what people ask AI and what the models say back. Profound's AI Marketer joins that data with deep context about our customers to find the opportunities worth acting on, and then puts agents to work: automating reporting, drafting content, auditing pages for readability, running competitive research. It measures what works and gets better every day.

The Revenue Architect is the engineer behind our revenue engine. You'll design, build and run the systems that connect Salesforce to everything around it (the data warehouse, enrichment vendors, CPQ, billing, marketing automation and our own AI agents) so Sales, Marketing, Customer Success and Finance work from one trusted picture of every account.

You need to be fluent in Salesforce's data model and platform, but the job is the architecture between systems: data contracts, pipelines, entity resolution and integrations that hold up at hyper-growth scale. This is a build role. You will architect systems and deploy them in production.

What you'll do

- Architect the GTM stack end to end. Partner with GTM leadership on the long-term technical roadmap so Salesforce, the data warehouse, CPQ, enrichment and orchestration tools form one scalable ecosystem rather than a set of point integrations.

- Engineer on the Salesforce platform where it's the right tool. Apex, Lightning Web Components and Flow architecture for logic that belongs in the CRM, with clear judgment about what belongs in the warehouse instead.

- Deploy AI as part of the system. Build LLM-powered agents for research on ambiguous data model resolutions, deal intelligence, forecasting, and deep research across the GTM stack.

- Model data for the whole business. Partner with Sales, Marketing, Customer Success and Finance so the GTM data model supports attribution, forecasting and lifecycle reporting.

- Set engineering standards. Sandbox management, version control, CI/deployment, documentation and access governance across the GTM stack.

What we're looking for

- Experience at scale. 5+ years in Revenue Systems, Business Systems, GTM Engineering or RevOps at high-growth B2B SaaS companies, including production pipelines and integrations you designed and shipped.

- Real programming ability. Python for orchestration, APIs and scripting; JavaScript a plus. You lean into tools like Claude Code to navigate existing infrastructure, run analyses and build lightweight systems for managing asynchronous agents.

- Salesforce fluency. You know the data model deeply and can read and write Apex, LWC and Flow when the job calls for it.

- Messy-data instincts. You've worked with third-party B2B data (enrichment vendors, firmographics, CRM extracts) and have opinions on match rates, survivorship rules and source precedence.

- LLMs as system components. Comfort building with LLM APIs for structured extraction, agentic research steps and confidence-scored outputs, and a practical view on where agentic workflows create real advantage in sales-led GTM.

- Systems thinking. A bias towards observable, auditable systems. "Why does this field say that?" always has an answer, and you anticipate how today's changes will affect the business 6–12 months out.

Why this role

- High agency. You'll define our technical standards and choose the tools that power a multi-billion-dollar company.

- Greenfield ownership. You'll own core systems end to end, with a small senior team and a real budget for data and AI tooling.

- High talent density. Work alongside engineers and operators who move fast and value technical excellence.

Location

This is an on-site role based in our NYC, SF or London office, designed for builders who thrive on speed, iteration, and meaningful impact.

For this role, the expected base salary range is $150,000 to $215,000 (NYC and SF). Profound's total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring.

Note: All official communication from Profound will come from a @tryprofound.com email address. If you're contacted by anyone using a different domain, please disregard and report it as spam.