Senior Software Engineer II

At Compass, our mission is to help everyone find their place in the world. Founded in 2012, we’re revolutionizing the real estate industry with our end‑to‑end platform that empowers residential real estate agents to deliver exceptional service to sellers and buyers. At Compass International Holdings (CIH), we connect buyers and sellers with the right agents at the right time.

The Lead Nurturing & Engagement team is responsible for keeping leads warm and actionable before they are assigned to an agent—ensuring no qualified lead goes cold due to slow response, lack of follow‑up, or poor timing. We own the full pre‑CRM nurturing funnel: from the moment a lead enters the system to the moment it is ready to be handed off to an agent. At Compass, You Will Design and build the pre‑CRM nurturing pipeline—automated flows that move leads from cold to warm to hot before agent assignment.

Own and operate the AWS Connect integration—the human‑assisted concierge experience that handles complex or high‑value leads requiring live engagement. Build and maintain unclaimed lead management—automated escalation, retry, and re‑engagement for leads that have not yet been matched to an agent. Develop lead readiness scoring—the signals and models that determine when a lead is hot enough for agent assignment.

Architect automated nurture sequences across SMS, email, and voice channels, coordinating with our communications platform. Collaborate with data and ML teams to incorporate behavioral signals and conversion predictions into nurturing decisions. Operate in a scalable engineering culture that leverages modern principles of decoupled systems and automated CI/CD, testing, and monitoring.

What We Look For BS in Computer Science, Software Engineering, or equivalent practical experience. 7+ years of experience developing comprehensive, well‑tested, and high‑performance software applications with NodeJS, Python. Experience with gRPC, Thrift, and other server‑to‑server communication protocols. Experience with Kafka and event‑driven systems—particularly for building stateful automation pipelines and re‑engagement flows. 3+ years using AWS/cloud technologies.

High proficiency designing and implementing microservices that are well tested, fault tolerant, and scalable. Understanding and adherence to industry‑standard best practices in software development and architecture. Believes in good software development requiring thorough testing, robust resiliency features, effective monitoring capabilities, comprehensive documentation, and close collaboration.

Experience with Scrum/Agile development methodologies. Strong critical thinking skills, great communication skills, and passion for operational excellence. Preferred Qualifications AWS Connect or similar experience: Prior experience building on or integrating with AWS Connect, Twilio Flex, Genesys, or similar Contact Center as a Service platforms—including call flows, agent routing, and real‑time event handling.

Lead lifecycle and CRM systems: Familiarity with CRM platforms (Salesforce, HubSpot, or similar) and how leads flow through lifecycle stages from first contact to close; ability to design clean ownership boundaries between nurturing and CRM systems. Engagement automation pipelines: Experience building automated outreach pipelines—nurture sequences, drip campaigns, or re‑engagement flows—triggered by behavioral signals across SMS, email, and voice channels. Lead scoring or ML‑based ranking: Experience working with or building scoring models that rank or classify leads by intent, readiness, or conversion probability.

Communication platform integration: Hands‑on experience with Twilio, Sinch, Amazon Pinpoint, or similar platforms for programmatic SMS, MMS, email, and voice delivery at scale. Real estate or proptech domain knowledge: Familiarity with real estate transaction flows, agent‑consumer interactions, or lead‑to‑close lifecycle. AI agent development: Familiarity with agentic AI frameworks (LangChain, LlamaIndex, AutoGen, or similar) for building autonomous or semi‑autonomous workflows—such as AI‑assisted concierge routing or automated follow‑up decision‑making.

AI and LLM integration: Experience integrating large language models (LLMs) or AI APIs (OpenAI, Anthropic, AWS Bedrock) into production systems—particularly for personalizing outreach content, generating dynamic nurture sequences, or powering conversational engagement flows. Experience with Python or NodeJS development. Compensation The base pay range for this position is $176,000–$196,100; however, base pay offered may vary depending on job‑related knowledge, skills, and experience.

Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met.

Perks That You Need To Know About Participation in our incentive programs (which may include eligible cash, equity, or commissions). Plus paid vacation, holidays, sick time, parental leave, and recharge leave; medical, tele‑health, dental and vision benefits; 401(k) plan; flexible spending accounts (FSAs); commuter program; life and disability insurance; Maven (a support system for new parents); Carrot (fertility benefits); UrbanSitter (caregiver referral network); Employee Assistance Program; and pet insurance. Do your best work, be your authentic self.

As an equal opportunity employer, we offer competitive compensation packages, robust benefits and professional growth opportunities aimed at helping to improve our employees' lives and careers. #J-18808-Ljbffr