9 days ago
Responsibilities
- Build, evaluate, roll out, and monitor AI agents for account research, signal qualification, message construction, routing, and reply handling.
- Build infrastructure connecting CRM-generated audiences, paid and ABM campaigns, campaign rules, agent engagement, account activity, and pipeline attribution.
- Own the account context layer, including entity resolution, evidence typing, freshness, provenance, segmentation, industry, region, and product rules.
- Extend GTM OS and make its capabilities available to sales and marketing through their existing tools.
- Own the CRM, data model, routing logic, integrations, automations, sending infrastructure, domain strategy, warming, suppression, and sender reputation.
- Establish production standards for evaluations, observability, permissions, auditability, agent reliability, and data quality.
- Measure and improve reply rates, meeting rates, pipeline, revenue, and cost per account worked.
Requirements
- Experience running outbound, paid, ABM, or lifecycle go-to-market programs and building the systems that produced pipeline.
- Experience shipping and operating a production service, agent, or data pipeline used by others, with work samples available.
- Experience creating scalable outbound sequences tied to buyer signals and demonstrating reply results.
- Paid media experience, including running budgets, building audiences, and determining which decisions require human oversight.
- Hands-on experience applying AI to GTM systems, including agents, LLM-based automation, MCP-style integrations, and evaluations.
- Fluency in Python or TypeScript and daily experience with Claude Code, Cursor, or equivalent development tools.
- Experience building and debugging API integrations, including authentication, rate limits, synchronization direction, and failure modes.
- Salesforce development experience with its data model, API, and Apex, or the ability to learn them quickly.
- Data fluency with SQL, warehouse concepts, and tracing data quality issues from source to destination.
- Ability to scope ambiguous requests and explain technical tradeoffs.
- Applicants should provide a resume, examples of built and maintained work, and a short note, Loom, or Replit prototype demonstrating relevant work.
Benefits
- Early-stage, well-funded startup with significant company impact and career growth opportunities.
- Quarterly broader-team on-sites.
- Competitive compensation and equity opportunity.
- Flexible paid time off.
- Health, dental, and vision insurance for US employees.
Tech Stack
Categories
AI ApplicationsGrowth Engineering
About Nash
Nash builds an AI-driven delivery management and logistics orchestration platform that unifies planning and execution across in-house fleets and third-party carriers. It sells B2B software and APIs to retailers, restaurants, pharmacies, and e-commerce platforms to optimize last-mile delivery, returns, and fulfillment. Founded in 2021 and headquartered in San Francisco, it lists customers such as Walmart, Urban Outfitters, and 7-Eleven, and integrates with platforms like Shopify and Toast.