3 days ago
Base Salary
$150k - $215k/yr
Responsibilities
- Architect the end-to-end GTM technology ecosystem connecting Salesforce, the data warehouse, CPQ, enrichment systems, and orchestration tools.
- Build and deploy Salesforce functionality using Apex, Lightning Web Components, and Flow where appropriate.
- Develop LLM-powered agents for data-model resolution, deal intelligence, forecasting, and research across the GTM stack.
- Model GTM data for Sales, Marketing, Customer Success, and Finance to support attribution, forecasting, and lifecycle reporting.
- Establish engineering standards for sandbox management, version control, CI and deployment, documentation, and access governance.
- Design, ship, and operate production pipelines and integrations at high-growth scale.
Requirements
- 5+ years of experience in Revenue Systems, Business Systems, GTM Engineering, or RevOps at high-growth B2B SaaS companies.
- Experience designing and shipping production pipelines and integrations.
- Strong Python skills for orchestration, APIs, and scripting; JavaScript experience is a plus.
- Deep fluency with the Salesforce data model and the ability to read and write Apex, Lightning Web Components, and Flow.
- Experience working with third-party B2B data, enrichment vendors, firmographics, and CRM extracts, including match rates, survivorship rules, and source precedence.
- Experience building with LLM APIs for structured extraction, agentic research workflows, and confidence-scored outputs.
- Systems-thinking approach focused on observable, auditable, and maintainable systems.
Benefits
- High-agency ownership of technical standards and tooling for the revenue engine.
- Greenfield ownership of core systems with a small senior team and a dedicated budget for data and AI tooling.
- Competitive total compensation including equity, benefits, and other perks.
- On-site role based in the NYC, San Francisco, or London office.
Tech Stack
Categories
About Profound
Profound builds a SaaS marketing intelligence platform that helps enterprise brands measure and improve how they appear in AI-driven discovery across tools like ChatGPT and Perplexity. The product delivers real-time visibility analytics, competitive intelligence, and optimization insights for search-like AI channels. The company is privately held, headquartered in New York, and is Series C–funded.