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Crexi

CRE marketplace and transaction analytics platform

GTM Automation Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeLos Angeles, CA, USA

About the Job

Requirements

  • A Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience is required.
  • At least 3 years of experience in GTM engineering, growth or revenue operations, software or data engineering, or a similar technical role supporting or closely partnering with a revenue team is required.
  • A proven track record of working across teams such as Sales, Marketing, Revenue Operations, and Engineering and delivering measurable business results such as gains in pipeline, conversion, or team productivity is required.
  • Hands-on experience shipping LLM-based applications or automations to production users is required; internal tools count.
  • Knowledge of Salesforce or HubSpot and tools such as Outreach and Clay, including their data structures and API integrations, is required.
  • Ability to build in Python or TypeScript and use version control, testing, and careful deployment practices is required.
  • Experience building with large language models, including prompt design, context, tools, and evaluation, is required.
  • Comfort with SQL and handling messy CRM and third-party data, including deduplicating records and matching accounts, is required.
  • Understanding of GTM workflows including prospecting, lead routing, pipeline management, and SDR workflows is required.
  • Ability to take projects from idea to completion within priorities set by RevOps and GTM leaders and explain technical tradeoffs to nontechnical partners is required.

Responsibilities

  • Build and own automated workflows for account research, prospect prioritization, and outreach drafting, with human review steps for customer-facing communications.
  • Develop and maintain sourcing and enrichment pipelines using tools such as Clay and Exa, delivering clean, deduplicated records to Salesforce, HubSpot, and downstream sales tools while respecting API limits in CRM writes.
  • Combine marketplace activity, CRM history, enrichment, and conversation data into signals, scores, and Slack alerts that tell reps who to engage and why and show managers where to focus coaching.
  • Integrate LLMs and agent workflows across the GTM stack, including Salesforce, HubSpot, Outreach, Gong, Qualified, Slack, and Snowflake; use AI where it improves outcomes and simpler rules where appropriate.
  • Instrument builds from launch and report impact on meetings booked, pipeline created, conversion rates, and rep time saved, partnering with Revenue Operations on baselines and attribution.
  • Spend regular time with SDRs, Account Executives, and Marketing, including shadowing prospecting blocks and reviewing Gong calls, to identify high-leverage problems, turn them into requirements, and ship feedback-driven improvements.
  • Own the health of production automations through monitoring, alerting, retries, and evaluation sets for LLM outputs; diagnose and fix failures, data issues, and model regressions, and escalate issues with broader business impact to Revenue Operations.
  • Build within Crexi data governance, security, and privacy standards, including applicable outreach consent and opt-out requirements such as CAN-SPAM for email and TCPA for calls and texts, and responsibly handle customer data shared with AI vendors.
  • Evaluate GTM and AI tools using working prototypes, recommend whether to build, buy, or extend, and help Crexi get full value from native AI features in tools it already licenses.
  • Document systems, data flows, prompts, and runbooks so Revenue Operations and GTM leaders can understand, trust, maintain, and extend them.

Desired Qualifications

  • Hands-on experience with Clay, Search API, Gong, or Qualified, and experience sourcing and structuring external data at scale, are preferred.
  • Experience with Snowflake or dbt, or syncing warehouse data back into the CRM, is preferred.
  • A background in experimentation or analytics and prior work supporting SDR or outbound sales teams are preferred.
  • Experience in commercial real estate, marketplaces, or B2B SaaS is preferred.

About the Company

Crexi

CRE marketplace and transaction analytics platform

Crexi provides a marketplace and technology platform for the commercial real estate (CRE) sector. It offers a suite of workflow management tools and customizable data analytics to streamline the CRE process from listing to closing. Its services target brokers, investors, and property managers, helping them manage transactions more efficiently through the platform. Crexi’s business model combines subscription-based services with transaction fees, earning revenue from premium listings, data analytics, and other value-added offerings. The goal is to simplify and speed up CRE transactions and increase transparency by integrating practical technology with user-friendly interfaces.

Company size
201-500
Company stage
Series B
Total funding
$54M
Headquarters
Los Angeles, CA
Founded
2015

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