Luxury Presence
is the leading digital platform revolutionizing the real estate industry for agents, teams, and brokerages. Our award-winning websites, cutting-edge marketing solutions, and AI-powered mobile platform empower real estate professionals to grow their business, operate more efficiently, and deliver exceptional service to their clients. Trusted by over 80,000 real estate professionals, including 31 of the nation’s 100 top-performing agents as published in the Wall Street Journal, Luxury Presence continues to set the standard for innovation and excellence in real estate technology.
About the Role
We’re seeking a
Staff Software Engineer
to strengthen our real estate MLS data platform squad. You will build robust data pipelines and backend services that power:• High-quality MLS and property data across 400+ feeds• Property discovery and search on agent websites• Personalized listing recommendations and other data-driven features• Conversational and operational
AI agents
that streamline internal workflows• The evaluation and monitoring infrastructure that keeps these systems improving over timeThis role sits at the intersection of
backend engineering
,
data infrastructure
,
and
AI-powered products
.
Who is the Data Platform Squad?
We make sure clean, reliable MLS listing records and user click-stream data are always available to our products and customers. Our current team—a mix of data engineers and software engineers—owns the entire listing pipeline: ingestion, transformation, and normalization across 400+ MLS feeds and other sources.We also extend the platform to capture user-activity data for user-facing features such as personalized listing recommendations, and we build
AI agents
that automate feed onboarding and listing-issue triage, reducing manual effort for internal teams and clients and shortening the path from data to business impact.
What You’ll Do
Technical leadership & architecture
• Own the end-to-end architecture for MLS and property data:
streaming and batch pipelines
, microservices, storage layers, and APIs• Design and evolve
event-driven
, Kafka-based data flows that power listing ingestion, enrichment, recommendations, and AI use cases• Drive technical design reviews, set engineering best practices, and make high-quality tradeoffs around reliability, performance, and cost
Backend, data & platform engineering
• Design, build, and operate backend services (Python or Java) that expose listing, property, and recommendation data via robust APIs and microservices• Implement scalable data processing with
Spark or Flink
on
EMR
(or similar), orchestrated via
Airflow
and running on
Kubernetes
where applicable• Champion observability (metrics, tracing, logging) and operational excellence (alerting, runbooks, SLOs, on-call participation) for data and backend services
Streaming & batch data pipelines
• Build and maintain high-volume, schema-evolving
streaming and batch pipelines
that ingest and normalize MLS and third-party data• Ensure data quality, lineage, and governance are built into the platform from the start—supporting analytics, AI/ML, and customer-facing features• Partner with analytics engineering and data science to make data discoverable and usable (e.g., semantic layers, documentation, self-service tooling)
AI agents & data products
• Collaborate with ML/AI engineers to
design and scale AI agents
that automate MLS feed onboarding, listing discrepancy triage, and other operational workflows• Work with frameworks such as
PydanticAI, LangChain, or similar
to integrate LLM-based agents into our data and service architecture• Help define and implement evaluation, logging, and feedback loops so these agents and data-driven products continuously improve
Cross-functional impact & mentorship
• Collaborate closely with Product, Engineering, and Operations to shape the roadmap for our data platform, MLS capabilities, and AI-powered experiences• Translate ambiguous business and customer problems into clear technical strategies and phased delivery plans• Mentor and unblock other engineers; elevate the overall level of technical decision-making on the team via pairing, reviews, and design guidance
What You’ll Bring
Experience & scope
•
10+ years
of professional software engineering experience, including owning production systems end-to-end• Significant experience working with
data-intensive
or
distributed systems
at scale (high volume, high availability)• Prior experience in a
senior
or
staff/lead
role where you influenced architecture, standards, and technical direction
Core technical skills
• Strong programming skills in
Python or Java
, with experience building
microservices
and APIs (REST/GraphQL)Hands-on experience with
Apache Kafka
or similar event/messaging platforms (Kinesis, Pub/Sub, etc.)•
Deep experience with:
◦
Spark or Flink
for large-scale data processing, across
streaming and batch pipelines
(on EMR or similar big-data compute) ◦
Airflow
(or equivalent orchestration tools) ◦
Kubernetes
for running data/compute workloads• Strong SQL and data modeling skills; solid understanding of
ETL/ELT patterns
, data warehousing concepts, and performance tuning• Experience building on
AWS
(preferred) or another major cloud provider, with a good grasp of cost, reliability, and security tradeoffs
AI agent experience
• Experience
building or integrating AI agents
into production workflows (e.g., internal tools, support automation, operational triage, or data workflows)• Familiarity with frameworks such as
PydanticAI, LangGraph, Claude Code or similar
, and how they interact with backend services, vector stores, and LLM APIs• Comfort working with logs, telemetry, and evaluation metrics to monitor, debug, and iteratively improve AI-driven systems
Leadership & collaboration
• Demonstrated ability to lead technical initiatives across teams, from idea to production (alignment, design, implementation, rollout)• Track record of mentoring other engineers and raising the bar on code quality, testing, and design• Strong communication skills; able to clearly explain complex technical decisions to both engineers and non-technical stakeholders• Customer and product mindset: you care about how the data and services you build improve the end-user and client experience, not just the internals
Nice to Have
• Experience with any of: ◦
Iceberg
, Hive, or other table formats/data lake technologies ◦
Snowflake, Athena, Redshift
, or other cloud data warehouses ◦
dbt
or similar transformation frameworks ◦ Data quality / observability tools (e.g., Great Expectations, Monte Carlo, Datafold) ◦ Vector databases / retrieval (e.g., LanceDB, Pinecone, Elasticsearch/OpenSearch)• Background in real estate, marketplaces, or other domains where data quality and freshness are highly visible to customers• Prior experience in a startup or high-growth environment where you’ve built or significantly evolved a data platform$200,000 - $230,000 a year
Join us in shaping the future of real estate
The real estate industry is in the midst of a seismic shift, and the future belongs to those who break new ground. As one of the fastest-growing companies in the proptech and marketing sectors, Luxury Presence challenges the status quo of what technology can do for real estate agents, leaders, and brokerages.We’re a team of agile and tenacious innovators working collaboratively to drive the industry forward. Together, we build game-changing products that empower modern real estate entrepreneurs to dominate their markets.
From award-winning web design to agile SEO solutions to cutting-edge AI tools, we deliver tech that anticipates market shifts and keeps our clients ahead of their competition.Founded in 2016 by Stanford Business School alum Malte Kramer, Luxury Presence has grown to a global team ranked on the Inc. 5000 fastest-growing companies list three years in a row. We’re backed by world-class investors, including Bessemer Venture Partners, Toba Capital, and Switch Ventures, and have raised
$52.6 million
to date.More than 15,000 real estate businesses rely on our platform, including 31 of the RealTrends top 100 agents featured in The Wall Street Journal. Additionally, many of the industry’s most powerful brokerages — including Compass, Coldwell Banker, and Sotheby’s International Realty — rely on Luxury Presence as a trusted business partner.Every year since 2020, Luxury Presence has ranked on BuiltIn’s Best Place to Work lists. HousingWire named our founder and CEO a 2024 Tech Trendsetter, we’ve received several Tech100 Awards, and our lead nurturing tool just scored an Inman Innovation Award for Best AI-Powered Platform.
Luxury Presence is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.Apply for this job
