1 day ago
Responsibilities
- Build, evaluate, roll out, and monitor AI agents for account research, signal qualification, message construction, routing, and reply handling.
- Build infrastructure connecting paid and ABM audiences, campaigns, engagement data, agents, account activity, and pipeline outcomes.
- Own the account context layer, including entity resolution, evidence typing, freshness, provenance, and market segmentation rules.
- Extend GTM OS and make its capabilities available to sales and marketing through their existing tools.
- Own the go-to-market systems, CRM data model, routing logic, integrations, and automations.
- Manage sending infrastructure and deliverability, including domain strategy, warming, suppression, and sender reputation.
- Maintain production standards for evaluations, observability, permissions, auditability, reliability, and data quality.
- Measure and improve reply rates, meeting rates, pipeline, revenue, and cost per account worked.
Requirements
- Demonstrated experience running outbound, paid, ABM, or lifecycle programs and building the systems behind them.
- Production experience shipping and maintaining a service, agent, or data pipeline used by others.
- Experience designing scalable outbound sequences tied to buyer signals and evaluating their performance.
- Experience running paid media budgets, building audiences, and deciding which actions require human judgment.
- Hands-on experience applying AI to go-to-market systems, including agents, LLM-based automation, MCP-style integrations, and evaluations.
- Fluency in Python or TypeScript and regular use of Claude Code, Cursor, or equivalent 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 it quickly.
- Data fluency including SQL, warehouse concepts, and tracing data quality issues from source to destination.
- Ability to turn ambiguous requests into scoped work and explain technical tradeoffs.
- Applicants should provide a resume, examples of shipped 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; compensation figures are not specified.
- Flexible paid time off.
- Health, dental, and vision insurance for US employees.
- Headquartered in San Francisco; the posting does not specify a remote or hybrid work arrangement.
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.