5 hours ago
Los Angeles, CA, USAMid Level
Base Salary
$110k - $150k/yr
Responsibilities
- Build and maintain automated workflows for account research, prospect prioritization, outreach drafting, data sourcing, enrichment, and CRM updates.
- Combine marketplace activity, CRM history, enrichment, and conversation data into signals, scores, alerts, and rep-facing workflows.
- Integrate LLMs and agent workflows across Salesforce, HubSpot, Outreach, Gong, Qualified, Slack, Snowflake, and other GTM systems.
- Instrument projects and report impact on meetings, pipeline, conversion, and rep time saved in partnership with Revenue Operations.
- Work directly with SDRs, Account Executives, Marketing, and Revenue Operations to identify problems, define requirements, and ship improvements.
- Own production reliability through monitoring, alerting, retries, LLM evaluation sets, troubleshooting, and regression diagnosis.
- Follow data governance, security, privacy, outreach-consent, and customer-data handling requirements.
- Evaluate GTM and AI tools, document systems and data flows, and create prompts, runbooks, and maintainable integrations.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
- At least 3 years of experience in GTM engineering, growth or revenue operations, software or data engineering, or a similar technical role supporting a revenue team.
- Demonstrated cross-functional delivery with Sales, Marketing, Revenue Operations, and Engineering that produced measurable business results.
- Hands-on experience shipping LLM-based applications or automations to production users.
- Experience with Salesforce or HubSpot, Outreach, Clay, and connected APIs and data structures.
- Experience building in Python or TypeScript and developing version-controlled, tested, carefully deployed integrations.
- Experience with large language models, prompts, context, tools, and evaluation, plus comfort determining when AI is appropriate.
- Comfort with SQL and deduplicating, matching, and structuring CRM and third-party data.
- Preferred experience with Clay, Search API, Gong, Qualified, Snowflake, dbt, warehouse-to-CRM synchronization, experimentation, analytics, SDR or outbound sales support, commercial real estate, marketplaces, or B2B SaaS.
- Familiarity with AI coding assistants such as Claude Code or Cursor.
Benefits
- Hybrid work in Los Angeles, with home-office reimbursement for remote employees.
- Discretionary paid time off.
- Medical, dental, and vision insurance.
- 401(k), FSA/HSA options, and Life & AD&D insurance.
- Equity eligibility and annual bonus eligibility.
- Collaborative culture with team activities.
Tech Stack
Categories
AI ApplicationsGrowth Engineering
About Crexi
Crexi builds a commercial real estate marketplace and SaaS platform used by brokers, investors, and owners to market listings, analyze comps, and manage deals. Its products include Crexi PRO for marketing and workflow, Crexi Intelligence for data and insights, and Crexi Auction for time-bound bidding; revenue comes from subscriptions and transaction fees. Founded in 2015 and headquartered in Los Angeles, the company is privately held.