Top Tech Jobs & Startup Jobs

Generates qualified sales pipeline through inbound and outbound prospecting, including cold calls, texts, emails, LinkedIn campaigns, and referrals. Educates real estate agents on Compass’s value proposition, handles objections, identifies referral opportunities, and transitions qualified prospects to Strategic Growth Managers. Collaborates on prospecting strategies, analyzes new markets, improves processes, maintains CRM data, and supports market expansion while preparing for advancement into a closing sales role.

Leads SEC reporting and technical accounting activities, including quarterly and annual filings, consolidated financial statements, footnotes, disclosure analysis, accounting research, and technical memos. Supports M&A diligence, purchase accounting, earnouts, equity transactions, stock-based compensation, and EPS calculations. Monitors SEC, FASB, and PCAOB developments, maintains reporting calendars, coordinates with external auditors, and partners with Legal, Investor Relations, Controllership, and Internal Audit.

Lead frontend-focused software architecture and development for a scalable real estate transaction platform. Own complex technical projects, improve reliability and operational excellence, reduce technical debt, and integrate AI, data pipelines, telemetry, and automated delivery practices. Collaborate with product and design teams, influence business decisions, mentor and recruit engineers, and build fault-tolerant, well-tested systems using modern frontend and cloud technologies.

Manage high-volume real estate transactions from listing or contract through closing. Track documents, compliance requirements, contracts, deadlines, commission records, deductions, and payouts. Serve as the central support contact for agents, collaborating with sales managers and internal teams to ensure accurate, timely processing and exceptional service.

Welcomes customers, manages front-office operations, distributes mail, maintains supplies and office standards, and escalates facilities issues. Provides one-on-one technology support, basic marketing assistance, administrative support, and troubleshooting for office systems and devices. Coordinates with internal teams, supports events, and fosters a positive office community across Santa Barbara and Montecito locations.

Leads frontend-focused software architecture and development for a scalable transaction management platform. Owns complex cross-stack projects, platform architecture, data ingestion, reliability, observability, CI/CD, testing, and operational excellence. Partners with product and design teams, integrates AI and data pipelines, reduces technical debt and infrastructure costs, and mentors and recruits engineers while delivering high-impact customer experiences.

Leads frontend and full-stack development for a scalable transaction management platform supporting real estate transactions. Owns platform architecture, data ingestion, reliability, technical projects, and operational excellence. Collaborates with product and design teams, integrates AI and modern cloud systems, reduces technical debt and infrastructure costs, and mentors or recruits engineers. Builds fault-tolerant, highly available, well-tested, modular software using modern development, CI/CD, testing, and monitoring practices.

Lead ambiguous, large-scale data science initiatives across multiple teams; establish organization-wide methodologies and best practices; translate research into scalable solutions; manage dependencies and timelines; mentor senior data scientists; advise executive leadership; and design robust MLOps pipelines for model deployment and monitoring.

Leads ambiguous, large-scale data science initiatives across multiple teams, coordinating dependencies, timelines, and strategic execution. Establishes organization-wide data science processes and best practices, translates research into scalable solutions, mentors senior data scientists, and advises executive leadership. Requires advanced Python and SQL, expertise in machine learning, NLP, deep learning, MLOps, large-scale model deployment, monitoring, and software engineering standards.

Leads ambiguous, large-scale data science initiatives across multiple teams, coordinating dependencies, timelines, methodologies, and strategic execution. Develops scalable solutions using advanced data science, MLOps, Python, and SQL; establishes organization-wide best practices and clean coding standards; mentors senior data scientists; translates research into practical applications; and advises executive leadership on technical and strategic decisions.