Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company that has hit $100M in annual recurring revenue. More than 90,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business. 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 time This 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 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, NextEquity Partners, Toba Capital, and Switch Ventures, and have raised $89 million to date. More than 18,000 real estate businesses rely on our platform, including 30% of the Wall Street Journal RealTrends top agents and teams. Additionally, many of the industry's most powerful brokerages 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 we 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.

Role Description - Design and develop PLP solutions in Biovia OneLab. - Collaborate with customer and other stakeholders to determine functional and technical requirements. - Develop high-level product specifications with attention to system integration and feasibility. - Define all aspects of development from appropriate technology and workflow as per standards. - Successfully communicate all concepts and guidelines to development team. - Ensure software meets all requirements of quality, security, modifiability, extensibility, etc. Qualifications - BIOVIA OneLab Solution Expert with strong experience in BIOVIA Pipeline Pilot. - Strong knowledge of JavaScript and jQuery. - Experience in working with various BIOVIA components like Pipeline Pilot, Compose, CISPro, OneLab, ELN, etc. - Experience in BIOVIA configuration and customization on latest versions. - Knowledge of SQL, Oracle, Azure Cloud services. - Knowledge on implementation of DevOps and CI/CD. - Experience in API development for integrating various software components.

• Define and own the Data Platform roadmap across ingestion, auto-detection, schema reconciliation, and lineage • Own the CRO and lab-partner ingestion-template product and the auto-matching UX, so partner data is usable the moment it lands • Drive dataset-level provenance, sensitivity tagging, and field-of-use governance • Design experiment-integration API schemas in partnership with the BioSim and ChemSim teams • Own the federated data-management product that enables IP-safe data sharing across partners • Define and track the metrics that matter including but not limited to time-to-usable per dataset, auto-match accuracy, and lineage completeness

Role Description - Fully conversant with the trial protocol, Case Report Forms (CRFs/eCRF), off-site manual (if applicable), supporting documents, procedures, and timelines to enable day to day running of the trial including all relevant SOPs. - Communicate effectively with the Illingworth research nurse project manager (RNPM), Research nurse manager, site staff and the Principal Investigator, to ensure a smooth and efficient flow of information. - Maintain accurate documentation including electronic transfer of data as per Illingworth SOPs throughout the trial, ensuring subject confidentiality, adhering to GCP and data protection requirements. - Attend Site Initiation Visits (SIV) as required and any other necessary meetings, including multi-disciplinary, project management and client-facing meetings. - Coordinate (working with the RN team) and complete subject trial visits on- and off-site. Ensure all trial related procedures and assessments are completed according to the protocol and relevant SOPs and that data is collected accurately. - Administer trial medication as per the protocol, and facilitate the safe storage, transfer, and accountability of trial medication in accordance with Illingworth SOPs. - Process and safely package and dispatch samples, liaising with courier companies and organizations in line with project requirements and supporting documents. - Assist in identifying potentially eligible patients for research projects and assist with patient recruitment into clinical trials providing information and support for those patients for on- and off-site care. - Ensure the accurate reporting of adverse events (AEs) and serious adverse events (SAEs)/suspected unexpected serious adverse reactions (SUSARs) to the site team and relevant RNPM, providing support for any additional follow-up that may be required. - Report any suspected misconduct or fraud to Illingworth and associated companies. Qualifications - Registered nurse with a minimum of 2 years' post qualification experience. - Research and clinical trials experience with GCP certification. - Knowledge of research design and methodology desirable. - Experience and knowledge of clinical nursing skills such as Venepuncture and ECG preferable. - Ability to work autonomously with initiative in a team within a multidisciplinary environment. - Excellent verbal and written communication skills. - Ability to prioritize and manage multiple tasks. - Good working knowledge of computer software including Outlook, Word, Excel, and PowerPoint as a minimum. Company Description Illingworth Research Group provides a range of patient focused clinical services to the pharmaceutical, healthcare, biotechnology and medical device industries. These include mobile research nursing, patient concierge, medical photography and clinical research services. Illingworth are experts with experience across all study phases and in a diverse range of therapeutic areas. Illingworth Research Group is a global organization operating in over 45 countries, bringing clinical research directly into the home of the patient, to improve the experience of patients involved in clinical trials and the quality of their lives.