Senior Automation Engineer

We’re innovators, changemakers, and collaborators. At every opportunity, we set the pace while delivering innovation built to carry real estate into the future. We create a world where every experience feels effortless, yet meaningful, and where customers are empowered to take on any opportunity. We show up as one team, connected by our values to be a force for good. Because together, we have the power to create extraordinary outcomes for our customers, our communities, and ourselves.

Your Impact

As the Staff Marketing Data & Automation Engineer, you will be a senior individual contributor responsible for designing and operationalizing applied AI capabilities within our Marketing and Go-To-Market workflows. Operating within enterprise data and automation standards, you will build scalable, AI-enabled systems that directly improve pipeline quality, targeting precision and conversion efficiency.

In this role, you will own the AI-powered data transformation layer, from initial prompt design and model integration to downstream activation into core revenue platforms like Salesforce and Marketo. You will serve as a subject matter expert, mentoring team members and elevating the collective output of the department by defining reusable AI design patterns.

Key Responsibilities

• AI Solution Design: Translate Marketing OKRs into AI-enabled data workflows, designing systems for automated enrichment, summarization, and lead signal generation.
• Architecture & Delivery: Implement AI workflows using enterprise frameworks (e.g., MCP) and evaluate model architectures—including RAG (Retrieval-Augmented Generation) and agentic workflows—based on performance and cost-scalability.
• Data Activation: Operationalize AI-enriched signals into our Snowflake data warehouse and activate them across the revenue stack, including Salesforce (CRM) and Marketo (MAP).
• Governance & Quality: Establish human-in-the-loop controls and evaluation frameworks to monitor model drift, accuracy, and compliance with data privacy policies.
• Strategic Leadership: Advise leadership on AI opportunity sequencing and ROI, while identifying automation capacity to quantify total operational impact.

Qualifications

• Expertise in AI/LLMs: Significant hands-on experience building production workflows using LLMs (OpenAI, Anthropic) and Agentic AI frameworks.
• Data Engineering Mastery: Advanced SQL and Python skills with deep experience working in cloud data warehouses like Snowflake or BigQuery.
• System Integration: Proven ability to integrate external APIs (REST/SOAP) into operational data systems and revenue platforms.
• Strategic Execution: Experience owning technical systems from initial experimentation through full-scale operationalization.
• Collaborative Mindset: A track record of thriving in highly collaborative, cross-functional environments and mentoring junior engineers.

Preferred

• Experience supporting Growth or Revenue Operations teams.
• Familiarity with dbt for transformation and Airflow for orchestration.
• Knowledge of specialized data acquisition tools like Firecrawl.

Compensation & Benefits

The compensation that we reasonably expect to pay for this role is: $152,000 - $190,000 [base pay]. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate’s skills, education, experience, and internal equity.

Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type. Regular full-time employees are eligible for benefits - see here.