BioMed Realty is seeking a professional to assist the Property Manager in overseeing and coordinating all property management, maintenance, and construction activities across the company’s portfolio of life science and technology properties.

This position offers a hybrid work model, which includes 4 days in office and 1 day remotely. Hybrid work may be modified based on the needs of the company.

What You’ll Do

• Assists with overseeing and coordinating property management, maintenance, construction, and work order activities associated with commercial and laboratory tenants.
• Provides direction and coordination for activities related to the operation and maintenance of laboratory, office, and manufacturing facilities and equipment.
• Assists in preparing budgets, accruals, variance reporting, timelines, and operational plans to support property management objectives.
• Maintains organized files, records, schedules, compliance documentation, and related property management data.
• Supports regulatory and operational compliance with applicable local, state, federal, and company policies and procedures.
• Participates in frequent communication and meetings with Property Managers, Facility Managers, tenants, vendors, and contractors to coordinate projects and resolve operational matters.
• Prepares and distributes correspondence, reports, meeting materials, and related documentation.
• Provides logistical support for on-site and off-site meetings, including setup, coordination, and follow-up activities.
• Assists with obtaining vendor bids and preparing contracts, consulting agreements, and design agreements using approved templates and vendor information.
• Assists with assembling and reviewing contract bids, project progress reports, and vendor performance documentation.
• Conducts weekly property inspections and assists with monthly and quarterly property and asset reviews, including site visits, vendor and tenant meetings, and completion of required reporting.
• Coordinates tenant access support, including arranging access cards and activating key fobs at multiple properties.
• Represents the company in interactions with tenants, vendors, contractors, outside agencies, and business partners.
• Maintains ongoing communication with key clients and contacts to ensure timely follow-up, project completion, and resolution of outstanding items.
• Assists with rent collection activities, tenant reconciliations, invoice processing, and coordination with property accounting and accounts payable teams.
• Assists Property Managers and Facility Managers in responding to emergency situations and coordinating on-site communication with tenants, vendors, contractors, and emergency personnel as needed.
• Performs additional duties and responsibilities as assigned by management.

Experience & Qualifications

• Relevant experience supporting real estate or property management operations, including administrative and clerical responsibilities.
• Associate degree or equivalent combination of education, training, and related experience.
• Proficiency with Microsoft Office applications, including Word, Excel, and Outlook; MRI experience preferred.
• Strong verbal and written communication skills with the ability to convey information clearly and professionally.
• Demonstrated organizational, multitasking, and problem-solving abilities in a fast-paced environment.
• Ability to build and maintain effective working relationships with tenants, vendors, contractors, and internal teams.
• Detail-oriented with the ability to manage multiple priorities and meet deadlines independently and collaboratively.

Compensation: $37.00 - $46.00 per hour (Approx. $77,000 - $96,000 per year) + bonus + benefits

The above represents the expected salary range for this job requisition. Ultimately, in determining pay, we’ll consider location, experience, and other job-related factors.

Benefits 

At BioMed Realty, we make sure you have the support and resources to leverage and develop your skills, secure your financial future, and take care of your health and well-being. BioMed Realty continually seeks to provide a workplace where everyone can be their authentic self. Through BioMed Realty’s competitive benefits offerings and various training and development opportunities, we have you covered with our Benefits Program which includes:

• Medical, Dental, and Vision Insurance
• Paid Time Off and Paid Family Leave Benefits
• 401(k) Retirement Savings Plan
• Tuition Reimbursement
• Flexible Spending Accounts
• Commuter Benefits
• Lifestyle Spending Account
• Pet Insurance
• ID Theft Insurance
• Legal Insurance
• Employee Assistance Program
• 100% Employer-Paid Life & AD&D Insurance, Short and Long Term Disability

Amenities  

• Onsite Gym
• Complimentary Snacks and Beverages Provided
• Commuter Transit Benefit

Notice to Recruiters and Third-Party Agencies 

The Talent Acquisition team manages the recruitment and employment process for BMR To protect the interests of all parties involved, BMR will only accept resumes from a recruiter once a fully-executed search agreement is in place. Agencies are hereby specifically directed not to contact BMR employees directly in an attempt to present candidates. BMR will consider any candidate for whom an Agency and/or Recruiter has submitted an unsolicited resume to have been referred, free of any charges or fees.

#LI-EW1

Company Overview 

Asset Living is a third-party management firm and a proven partner in fostering thriving communities nationwide. Founded in 1986, Asset Living has decades of experience delivering exceptional value to our partners. Since the beginning, our undeniable passion has driven our organic growth from a small property management firm to one of the most trusted allies in real estate. Asset Living's growing portfolio includes a multitude of properties across the country that span the multifamily, single-family home rentals, affordable housing, build-to-rent, active adult, and student housing divisions.   

Asset Living is a fast-growing company made up of talented individuals from diverse backgrounds that differentiate us and help us drive innovation and results for our clients and communities across the US. At Asset Living, we wholeheartedly believe 'Together We Lead, Together We Succeed. We empower each other to lead by example, collaborate, and evolve – inspired by our belief that we can continually improve as individuals and as an organization. Together, we create an environment where every voice is heard, every idea is valued, and every individual experiences opportunities to grow as our company grows. When you join Asset Living, you become part of a dynamic team that thrives on unity, unique talents, and a universal culture of winning.    

Recognized as one of the nation's Best and Brightest Places to Work and ranked in the NMHC top 50 professionals, join Asset Living because of its reputation as the most trusted partner in real estate, workplace culture, and growth opportunities. Asset Living is a member of The Institute of Real Estate Management (IREM) and is recognized as an Accredited Management Organization (AMO). Together, we lead the way, and together, we achieve excellence in all that we do. Join a workplace where success is a collective journey and leadership is a shared responsibility.   

Regional Manager, Affordable Housing

The Regional Manager, Affordable Housing is responsible for overseeing the entire operations of a housing community portfolio. As a Regional Manager specializing in affordable housing you will manage all phases of the operations, including personnel, leasing, maintenance, financial, administration & risk management. As an offsite leader, you will supervise all aspects of the property and staff to ensure compliance with Asset’s company policies and procedures, safety and fair housing guidelines, and liability concerns.

Essential Duties & Responsibilities

Affordable Housing

• Ensure compliance with all Equal Housing Opportunity/Affirmative Fair Housing laws.
• Ensure proper LIHTC and/or Section 8 policies and procedures are followed. 
• Monitor LIHTC Application and Annual Recertification processes. 
• Regulatory Compliance – Ensures compliance with regulatory and funding requirements, contracts, and reporting 
• Conduct files reviews, physical inspections, and interacts with regulatory agencies. 
• Conduct semi-annual inspections as required. 

Personnel Management

• Use consistent techniques & company directives to screen, hire, train, coach, and develop on-site staff
• Ensure effectiveness of staff through ongoing training, coaching, counseling, and guidance in compliance with Asset training benchmarks
• Deal effectively and consistently with performance problems; document adequately, communicate with direct supervisor and HR and terminate appropriately when necessary
• Prepare request for a salary increase for Community Manager and assist with other team members if necessary; sign off on all requests from the site
• Ensure all counseling statements, written evaluations, and salary requests are provided for review to the Regional & Senior Vice President and delivered to the Human Resource department
• Approve all timesheets and ensure hours indicated are correct, vacation and sick time reported, and signatures available
• Deal effectively and consistently with performance problems; document adequately, communicate with Regional & Senior Vice President and HR and terminate appropriately when necessary
• Promote harmony and quality job performance of staff through support and effective leadership
• Ensure staff compliance and consistency with Company policies and procedures

Financial Management

• Achieve the highest possible net operating income through the implementation of effective cost control and revenue & leasing improvement; identify trends and recommend strategies and adjustments
• Develop yearly operating budgets/forecasts
• Provide monthly written evaluation of income and expense line items that are significantly over budget
• Provide Capital improvement suggestions for the future of the site
• Monitor all proposals and contracts for large projects at sites and check work in progress
• Monitor & maintain the timely receipt and reconciliation of deposits, rent collections, and charges to ensure submitted on a timely basis
• Monitor & approve the timely receipt, reconciliation, and coding of all vendor invoices
• Ensure property closeout is completed on time and ownership financial reports are accurate

Strategic Leasing Management

• Develop yearly marketing plan and utilize marketing strategies & systems
• Provide marketing strategy to generate rentals or for rent increases
• Ensure staff leasing techniques are effective in obtaining closure, follow up procedures met, signing/documentation of leases, and reporting systems are accurate and up to date
• Deal with resident complaints, concerns, and requests to ensure resident satisfaction
• Develop and implement resident retention programs (i.e., resident functions, special promotions, monthly newsletter, etc.) 
• Effectively show, lease, and move in prospective residents

Administrative & Maintenance Management

• Ensure all administrative & leasing reporting is accurate, complete, and submitted on a timely basis
• Assist with the emergency team for the property; ensures proper response and handling of all property emergencies with staff, residents, buildings, etc. within company guidelines to minimize liability
• Manage excellent customer service and monitor service request turnaround and responsiveness of maintenance staff
• Maintain property appearance and ensure repairs are noted and completed on a timely basis (this requires regular property inspections and tours)
• Plan for and utilize property resources, equipment and supplies economically (i.e., obtaining bids/pricing from vendors, suppliers, and contractors, dealing with inadequate service, etc.)
• Give direction to and monitor maintenance, construction, and rehabilitation activities to ensure quality and expediency (i.e., “walk” units to ensure make-ready and work orders are completed)

Travel

• This position entails travel, estimated at 25-50% of work time annually. Travel may be required for property visits, conferences, training sessions, or other business-related activities.

Education & Experience

• Affordable housing experience which includes LIHTC
• Prior experience as a Regional Manager
• High School Diploma or Equivalent; Bachelor’s degree preferred or four years experience in the housing industry; or one to two years related experience and/or training; or equivalent combination of education and experience
• Certified Apartment Manager (CAM) or Accredited Resident Manager (ARM) preferred
• Ability to understand and perform all on-site software functions; basic computer skills required
• Must have basic knowledge of Fair Housing Laws and OSHA requirements 

#LI-Hybrid

This job description should not be considered all-inclusive. It is merely a guide of expected duties. The employee understands that the job description is neither complete nor permanent and may be modified at any time. At the request of their supervisor, an employee may be asked to perform additional duties or take on additional responsibilities without notice.This is a safety-sensitive position and may be subject to additional compliance requirements.

The Yale Labs Manager is responsible for supporting the operational management, member engagement, business development activities, and day-to-day administration of the incubator and innovation program. This position helps execute strategic initiatives that support startup growth, member success, and community engagement while ensuring alignment with organizational goals and operational standards.

The Manager oversees tenant/member relations, onboarding, facility coordination, events, partnerships, communications, and administrative operations for the incubator program. This role also supports budgeting, reporting, contract administration, and policy implementation while exercising sound judgment in daily operations and member support activities.

Key Responsibilities

Program Operations & Administration

• Support the day-to-day operations of the incubator and coworking/laboratory spaces.
• Assist in implementing operational goals, policies, and procedures established by leadership.
• Coordinate operational processes to ensure a high-quality member experience.
• Monitor occupancy, member activity, and operational performance metrics.
• Identify opportunities for operational improvements and communicate recommendations to leadership.
• Support implementation of strategic initiatives.

Member Recruitment, Onboarding & Retention

• Serve as a primary point of contact for prospective and current member companies.
• Support recruitment efforts to attract startup and entrepreneurial tenants to the incubator program.
• Manage the member onboarding process, including communications, documentation, orientation, and expectation-setting.
• Maintain the membership pipeline and assist with outreach initiatives to increase occupancy and engagement.
• Build positive relationships with tenants and support member retention efforts.
• Coordinate member feedback collection through surveys, meetings, and regular communication.

Community Engagement & Partnerships

• Assist with planning and coordinating networking events, workshops, educational programming, and community-building activities.
• Represent the incubator program at regional entrepreneurial and life sciences events as assigned.
• Support relationship-building efforts with startup organizations, accelerators, universities, and industry partners.
• Coordinate with service providers and community partners to support member company needs.

Marketing & Communications

• Assist with marketing and outreach initiatives to increase awareness of the incubator program.
• Support website updates, social media engagement, newsletters, and promotional materials.
• Help coordinate media opportunities, public relations activities, and program communications.
• Maintain consistent messaging and communication standards across member and community outreach activities.

Financial & Contract Administration

• Support budget tracking and administrative financial processes for the program.
• Assist with management of rental agreements, invoicing, payment tracking, and related documentation.
• Maintain records related to contracts, member agreements, and operational reporting.
• Support preparation of quarterly reports, presentations, and operational updates for leadership review.
• Coordinate procedures related to payment follow-up and reporting.

Policy & Program Support

• Assist with implementation and maintenance of program policies and procedures.
• Support compliance with operational standards, member agreements, and facility requirements.
• Conduct research and gather feedback to support continuous improvement initiatives.
• Help document operational workflows and best practices.

Qualifications

• Bachelor’s degree in business administration, life sciences, public administration, entrepreneurship, or related field preferred.
• Experience in program coordination, incubator operations, coworking management, business development, or startup ecosystem support preferred.
• Strong organizational, communication, and relationship-management skills.
• Ability to manage multiple projects and priorities in a fast-paced environment.
• Experience with budgeting, contracts, customer service, and administrative operations preferred.
• Knowledge of biotech, life sciences, startup ecosystems, or innovation programs is highly desirable.

Position Characteristics

• Collaborative and service-oriented leadership style.
• Strong operational and project coordination abilities.
• Ability to work independently while supporting executive leadership initiatives.
• Comfortable engaging with entrepreneurs, industry leaders, research organizations, and community stakeholders.

Company Overview 

Asset Living is a third-party management firm with a proven partner in fostering thriving communities nationwide. Founded in 1986, Asset Living has decades of experience delivering exceptional value to our partners. Since the beginning, our undeniable passion has driven our organic growth from a small property management firm to one of the most trusted allies in real estate. Asset Living's growing portfolio includes a multitude of properties across the country that span the multifamily, single-family home rentals, affordable housing, build-to-rent, active adult, and student housing divisions.   

Asset Living is a fast-growing company made up of talented individuals from diverse backgrounds that differentiate us and help us drive innovation and results for our clients and communities across the US. At Asset Living, we wholeheartedly believe 'Together We Lead, Together We Succeed. We empower each other to lead by example, collaborate, and evolve – inspired by our belief that we can continually improve as individuals and as an organization. Together, we create an environment where every voice is heard, every idea is valued, and every individual experiences opportunities to grow as our company grows. When you join Asset Living, you become part of a dynamic team that thrives on unity, unique talents, and a universal culture of winning.    

Recognized as one of the nation's Best and Brightest Places to Work and ranked in the NMHC top 50 professionals, join Asset Living because of its reputation as the most trusted partner in real estate, workplace culture, and growth opportunities. Asset Living is a member of The Institute of Real Estate Management (IREM) and is recognized as an Accredited Management Organization (AMO). Together, we lead the way, and together, we achieve excellence in all that we do. Join a workplace where success is a collective journey and leadership is a shared responsibility.   

Regional Facilities Manager

This key role will be responsible for overseeing the facilities management functions across multiple locations within a designated region. The ideal candidate will bring extensive experience in facilities management, a strategic mindset, and the ability to lead and inspire a team to ensure optimal operational performance and excellence in service delivery. 

Essential Duties & Responsibilities

• Conduct site visits on a regular basis including but not limited to review of curb appeal, maintenance projects, reports, work productivity, site inventories, adherence to policies and procedures, capital improvement project review and completion of quarterly community standards inspections. 
• Work with on-site team and Regional Manager to correct any deficiencies identified in site inspections promptly. 
• Reinforce community environmental safety programs such as Asbestos, LBP and Mold response policies to ensure all facilities comply with local, state, and federal regulations and safety standards. 
• Identify opportunities for cost savings and process improvements while maintaining high-quality standards. 
• Develop and implement emergency response plans to address potential crises and ensure business continuity. 
• Conduct drills and training sessions to prepare facility staff for various emergency scenarios.
• Establish and monitor Key Performance Indicators (KPIs) such as makeready and workorder completion times to assess the performance and effectiveness of maintenance teams and collaborate with the on-site manager and maintenance manager when performance improvement is needed.
• Analyze KPI data to identify trends, areas for improvement, and opportunities for enhancing operational efficiency. 
• Assist with implementing and ensuring compliance with programs at the site level such as Predictive and Preventative Maintenance, Emergency Preparedness, Preferred Vendor Programs, etc. at each site as outlined by Asset Living’s policy. 
• Assist Regional Manager and Director of Facilities in the development of capital budgets annually.
• Assist with developing scopes, assist with bid analysis, and monitor project management for capital projects to ensure effective utilization of the annual budget, selection of vendors and the services provided, and the timely completion of services covered by the contract.
• Assist Client Services with due diligence and transitions by participating in site inspections, preparing reports, and evaluating staff as requested. 
• Support other operational goals and objectives as defined and needed by the Director of Facilities and VP of Operations. 
• Any other tasks assigned or directed.

Team Leadership 

• Foster a positive and collaborative work environment, promoting teamwork and professional development.
• Demonstrate consistent and appropriate sense of urgency and foster urgency among maintenance team and contract personnel. 
• Partner with the Training team to develop bench strength through building and delivering education to the maintenance teams across the organization.
• Foster interdepartmental communication protocol and assist personnel in effective communication between office and maintenance department. 

Education & Experience

• Knowledge of business and management principles involved in strategic planning, resource allocation, leadership technique, production methods, and coordination of people and resources. 
• Understanding of current legal responsibilities of the properties. 
• Strong interpersonal skills with the ability to interact and relate effectively, productively, and positively with other Associates.
• Possess the ability to effectively lead and manage a team. 
• Proficient in Microsoft Word, Office, and Outlook. 
• Ability to have flexibility with working schedule based on business and deadline needs. 
• Ability to work a schedule during normal work hours and that may be other than Monday-Friday, 8-5. Work more than 40 hours per week is likely.
• Consistent, regular, and in-person attendance during regular working hours at the workplace is required. 

This job description should not be considered all-inclusive. It is merely a guide of expected duties. The employee understands that the job description is neither complete nor permanent and may be modified at any time. At the request of their supervisor, an employee may be asked to perform additional duties or take on additional responsibilities without notice. This is a safety-sensitive position and may be subject to additional compliance requirements.

About the Team

As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.

Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.

Why This Role

Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.

If you want to define what analytics looks like in an AI-first company, this is it.

What You'll Do

Build Proactive Intelligence Systems

• Design and deploy AI agents that monitor business performance and surface actionable insights without being asked

• Architect systems that shift analytics from "answering questions" to "anticipating needs"

• Create intelligent alerting that distinguishes signal from noise and recommends specific actions

Create AI-Powered Analytics Tools

• Develop natural language interfaces that let business leaders query data conversationally

• Build semantic layers that translate business concepts into data structures optimized for LLM reasoning

• Ship internal tools that transform how Opendoor makes decisions at every level

Own the Analytics-to-Action Pipeline

• Design data models that support automated analysis, pattern detection, and AI agent interactions

• Build workflows that connect insight generation to recommended actions

• Establish feedback loops that make our AI systems smarter over time

Drive Leverage Across the Business

• Identify high-value opportunities where AI can augment human decision-making

• Implement end-to-end solutions using Claude, custom agents, and modern AI tooling

• Measure impact rigorously—we care about decisions influenced, not dashboards built

We're Looking for Teammates Who Have

Technical Foundation

• 5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership

• Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption

• Strong Python proficiency for data engineering, automation, and AI agent development

• Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)

AI & Automation Expertise

• Hands-on experience building and deploying AI agents or LLM-powered applications in production

• Deep understanding of LLM capabilities, limitations, and prompt engineering best practices

• Experience architecting semantic layers or natural language interfaces for data access

• Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions

Analytics & Business Acumen

• Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions

• Strong analytical intuition—you know what questions matter before they're asked

• Experience translating ambiguous, cross-functional business problems into technical solutions

• History of operating autonomously and setting direction, not just executing on defined projects

Leadership & Influence

• Experience mentoring other analysts or engineers, formally or informally

• Demonstrated ability to influence senior stakeholders and drive alignment across teams

• Comfort operating in ambiguity and shaping strategy, not just responding to it

• Track record of building systems and processes that scale beyond yourself

Builder Mindset

• You ship products, not just dashboards 

• You'd rather build something useful in a week than something perfect in a quarter

• You measure success by business impact, not technical complexity

• You're energized by creating leverage—building once so others benefit forever

Bonus Points If You Have

• Experience in real estate, fintech, or marketplace businesses

• Background in marketing analytics, sales operations, product analytics, or pricing/economics

• History of building tools or platforms that replaced recurring analyst work

• Experience leading technical projects or small teams

About the Team

As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.

Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.

Why This Role

Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.

If you want to define what analytics looks like in an AI-first company, this is it.

What You'll Do

Build Proactive Intelligence Systems

• Design and deploy AI agents that monitor business performance and surface actionable insights without being asked

• Architect systems that shift analytics from "answering questions" to "anticipating needs"

• Create intelligent alerting that distinguishes signal from noise and recommends specific actions

Create AI-Powered Analytics Tools

• Develop natural language interfaces that let business leaders query data conversationally

• Build semantic layers that translate business concepts into data structures optimized for LLM reasoning

• Ship internal tools that transform how Opendoor makes decisions at every level

Own the Analytics-to-Action Pipeline

• Design data models that support automated analysis, pattern detection, and AI agent interactions

• Build workflows that connect insight generation to recommended actions

• Establish feedback loops that make our AI systems smarter over time

Drive Leverage Across the Business

• Identify high-value opportunities where AI can augment human decision-making

• Implement end-to-end solutions using Claude, custom agents, and modern AI tooling

• Measure impact rigorously—we care about decisions influenced, not dashboards built

We're Looking for Teammates Who Have

Technical Foundation

• 5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership

• Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption

• Strong Python proficiency for data engineering, automation, and AI agent development

• Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)

AI & Automation Expertise

• Hands-on experience building and deploying AI agents or LLM-powered applications in production

• Deep understanding of LLM capabilities, limitations, and prompt engineering best practices

• Experience architecting semantic layers or natural language interfaces for data access

• Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions

Analytics & Business Acumen

• Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions

• Strong analytical intuition—you know what questions matter before they're asked

• Experience translating ambiguous, cross-functional business problems into technical solutions

• History of operating autonomously and setting direction, not just executing on defined projects

Leadership & Influence

• Experience mentoring other analysts or engineers, formally or informally

• Demonstrated ability to influence senior stakeholders and drive alignment across teams

• Comfort operating in ambiguity and shaping strategy, not just responding to it

• Track record of building systems and processes that scale beyond yourself

Builder Mindset

• You ship products, not just dashboards 

• You'd rather build something useful in a week than something perfect in a quarter

• You measure success by business impact, not technical complexity

• You're energized by creating leverage—building once so others benefit forever

Bonus Points If You Have

• Experience in real estate, fintech, or marketplace businesses

• Background in marketing analytics, sales operations, product analytics, or pricing/economics

• History of building tools or platforms that replaced recurring analyst work

• Experience leading technical projects or small teams

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Join Orchard Brokerage and build a market from the ground up. We are looking for a driven, broker-minded Brokerage Leader to establish Orchard's presence in Seattle, WA, recruit and develop a team of high-performing agents, and become the face of Orchard in your market. You will have the platform, the products, and the support. We need the person who can build the culture and the team around it.

Why Join Orchard

• Opportunity to build and lead Orchard's presence in a growth market from day one, with direct upside tied to team growth
• A share of your team's production
• Revenue share program — earn ongoing income from the agents you bring into the business
• No up front brokerage fees — we do not earn until you do
• Multiple revenue streams available, including downline incentives
• Earn equity for your performance with Orchard stock options
• $1,100+ in monthly marketing support — free to all agents on your team
• Access to Orchard Offers Marketplace
• Unique products that win you and your agents business:
• Orchard Move First: Buy your next home before you sell, skip the showings, and become a non-contingent buyer
• Orchard Concierge: Make price-boosting repairs and upgrades at no upfront cost
• Orchard Cash Offer + Upside: Sell quickly for a cash offer and get the upside when your home sells on the market
• Access to Orchard Mortgage and Orchard Title for a seamless transaction and incentives to help close more deals
• Transaction coordination services on every deal
• Strong agent community and culture and a consumer brand centered around delivering great customer experience

Compensation

This is a commission-only (1099) position. The average full-time fully ramped Brokerage Leader earns $120,000 to $200,000+ per year. There is no cap on earnings.

What We Are Looking For

• Active and unrestricted Washington real estate license and located in the greater Seattle, WA area
• 5+ years of experience as a licensed agent. Managing broker license preferred.
• 3+ years of experience managing or mentoring real estate agents
• At least 10 closed transactions in the last 12 months
• A track record of recruiting and building a team, not just managing one
• A proven ability to deliver an outstanding customer experience while meeting or exceeding production targets
• Demonstrated ability to coach a team, develop skills, and drive results without a company-supplied lead pipeline
• Strong communication skills — both written and verbal

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.

As a Senior Software Engineer on this team, you will design and build the systems that power automated re-engagement flows, unclaimed lead management, human-assisted concierge experiences via AWS Connect, and lead readiness scoring. Your work directly impacts how many leads convert to closed transactions — making this one of the highest-leverage engineering roles on the Leads platform.

At Compass, You Will: 

• Design and build the pre-CRM nurturing pipeline — automated flows that move leads from cold → warm → 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/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 languages such as 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.

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior AI Engineer to join our Applied AI organization, a team purpose-built to rebuild how the company operates from an AI-first perspective. You will be the builder at the heart of this transformation, designing and shipping AI-powered tools and automation pipelines that replace manual, repetitive work across finance, operations, revenue, and beyond. This is a hands-on engineering role with enormous scope: you will own systems end-to-end, from the LLM prompt layer through to production deployment, working side-by-side with Process Analysts who understand the business deeply. If you want to see your work directly change how a company functions — not someday, but now — this is the role.

What you'll do

• Design, build, and ship AI-powered automation tools and internal applications that transform manual business processes into AI-first workflows
• Architect and maintain LLM-based systems, including prompt pipelines, agentic workflows, tool-calling integrations, and retrieval-augmented generation (RAG) setups
• Build and maintain data pipelines that connect source systems (Snowflake, internal APIs, SaaS tools) to AI workflows, ensuring data quality and reliability
• Partner with Process Analysts to understand how business functions work today, translate requirements into engineering specifications, and iterate based on real user feedback
• Own production reliability for the systems you build — monitoring, alerting, and iterating on AI outputs to maintain quality over time
• Evaluate and integrate emerging AI tooling (models, frameworks, APIs) to ensure Metropolis is always leveraging the best available capabilities
• Contribute to internal standards for AI development: prompt management, evaluation frameworks, model selection, and system architecture

What we're looking for

• 6+ years of software engineering experience, with 2+ years of hands-on experience designing, building, and deploying LLM-based or AI-powered applications in production
• Strong Python skills — you write clean, maintainable code and are comfortable building APIs, data pipelines, and backend services
• Practical experience with LLM APIs (OpenAI, Anthropic, or similar), prompt engineering, and agentic patterns (function calling, multi-step reasoning, tool use)
• Familiarity with data engineering fundamentals: SQL, data transformation, working with cloud data warehouses (Snowflake preferred)
• Experience with workflow orchestration tools (e.g., Airflow, Prefect, or similar) and cloud infrastructure (AWS preferred)
• A strong instinct for product quality — you care about whether the tools you build are actually useful, not just technically functional
• Ability to work autonomously in a fast-moving environment, manage competing priorities, and ship iteratively rather than waiting for perfection

While not required, these are a plus:

• Experience with vector databases, embeddings, or semantic search is a plus

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 USD to $200,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-CM1 #LI-Onsite

About the Role

What You'll Need

• Experience developing quantitative models to support real-world decision-making under uncertainty
• Strong coding skills in Python, with the ability to move beyond prototyping and implement production-quality scientific code
• Experience with one or more of the following: causal inference, Bayesian modeling, structural modeling, demand forecasting, pricing science, or mathematical optimization
• Comfort working with messy, high-dimensional real-world data and translating ambiguous business problems into rigorous modeling approaches
• Advanced degree (MS or PhD preferred) in statistics, mathematics, economics, operations research, computer science, or another quantitative discipline
• Strong communication and collaboration skills — you’re comfortable working with cross-functional stakeholders and can communicate technical ideas clearly

Nice to Have

What You'll Do

Compensation

The Strategic Operations Lead (internally known as the Project Manager, Sales Operations) role serves as a direct extension of the Regional Vice President, acting as a force multiplier to drive execution, alignment, and accountability across the region. You will translate strategy into action and ensure initiatives are implemented effectively in the field. You will partner closely with Sales Managers, Agent Experience (AE), and Marketing Advisors (MA) to ensure regional priorities are executed with consistency and measurable impact. 

Key Responsibilities: 

• Act as the RVP’s right hand in executing regional priorities 
• Translate meetings and strategy into clear action plans with ownership and timelines 
• Track progress and ensure accountability across field teams 
• Identify execution gaps and proactively solve them 
• Lead cross-functional initiatives that drive agent growth and platform adoption 
• Improve operational efficiency and scalability across the region 
• Support the RVP and Director of Operations in regional management and continuous improvement 
• Ensure clear communication and alignment between leadership and field teams 
• Coordinate and implement trainings and field support initiatives 
• Manage priorities and optimize the RVP’s focus on highest-impact work
• Driving cost savings and operational efficiencies across the business  

What We're Looking For:

• 5–10 years in real estate operations, sales leadership, or similar roles 
• Proven ability to execute through others and drive outcomes 
• Real Estate experience preferred but not required 
• High ownership mentality and proactive problem-solving 
• Strong field credibility with sales teams 
• Execution-focused with a bias toward action 
• Structured thinker who can turn ideas into plans 
• Comfortable pushing back and refining strategy 
• Initiatives are executed on time with measurable results 
• Strong alignment and accountability across teams 
• Increased agent productivity and engagement 
• Gaps are identified early and solved quickly  

This position is 100% in office.

Compensation:  

The salary pay range for this position is a base pay of $115,000 – $130,000 annually; 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. 

The Regional Operations Lead (internally known as the Project Manager, Sales Operations) role serves as a direct extension of the Regional Vice President, acting as a force multiplier to drive execution, alignment, and accountability across the region. You will translate strategy into action and ensure initiatives are implemented effectively in the field. You will partner closely with Sales Managers, Agent Experience (AE), and Marketing Advisors (MA) to ensure regional priorities are executed with consistency and measurable impact. 

Key Responsibilities: 

• Act as the RVP’s right hand in executing regional priorities 
• Translate meetings and strategy into clear action plans with ownership and timelines 
• Track progress and ensure accountability across field teams 
• Identify execution gaps and proactively solve them 
• Lead cross-functional initiatives that drive agent growth and platform adoption 
• Improve operational efficiency and scalability across the region 
• Support the RVP and Director of Operations in regional management and continuous improvement 
• Ensure clear communication and alignment between leadership and field teams 
• Coordinate and implement trainings and field support initiatives 
• Manage priorities and optimize the RVP’s focus on highest-impact work
• Driving cost savings and operational efficiencies across the business  

What We're Looking For:

• 5–10 years in real estate operations, sales leadership, or similar roles 
• Proven ability to execute through others and drive outcomes 
• Real Estate experience preferred but not required 
• High ownership mentality and proactive problem-solving 
• Strong field credibility with sales teams 
• Execution-focused with a bias toward action 
• Structured thinker who can turn ideas into plans 
• Comfortable pushing back and refining strategy 
• Initiatives are executed on time with measurable results 
• Strong alignment and accountability across teams 
• Increased agent productivity and engagement 
• Gaps are identified early and solved quickly  

This position is 100% in office.

Compensation:  

The salary pay range for this position is a base pay of $115,000 – $130,000 annually; 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. 

This role serves as a direct extension of the Regional Vice President, acting as a force multiplier to drive execution, alignment, and accountability across the region. You will translate strategy into action and ensure initiatives are implemented effectively in the field. You will partner closely with Sales Managers, Agent Experience (AE), and Marketing Advisors (MA) to ensure regional priorities are executed with consistency and measurable impact. 

Key Responsibilities: 

• Act as the RVP’s right hand in executing regional priorities 
• Translate meetings and strategy into clear action plans with ownership and timelines 
• Track progress and ensure accountability across field teams 
• Identify execution gaps and proactively solve them 
• Lead cross-functional initiatives that drive agent growth and platform adoption 
• Improve operational efficiency and scalability across the region 
• Support the RVP and Director of Operations in regional management and continuous improvement 
• Ensure clear communication and alignment between leadership and field teams 
• Coordinate and implement trainings and field support initiatives 
• Manage priorities and optimize the RVP’s focus on highest-impact work
• Driving cost savings and operational efficiencies across the business  

What We're Looking For:

• 5–10 years in real estate operations, sales leadership, or similar roles 
• Proven ability to execute through others and drive outcomes 
• Real Estate experience preferred but not required 
• High ownership mentality and proactive problem-solving 
• Strong field credibility with sales teams 
• Execution-focused with a bias toward action 
• Structured thinker who can turn ideas into plans 
• Comfortable pushing back and refining strategy 
• Initiatives are executed on time with measurable results 
• Strong alignment and accountability across teams 
• Increased agent productivity and engagement 
• Gaps are identified early and solved quickly  

This position is 100% in office.

Compensation:  

The salary pay range for this position is a base pay of $115,000 – $130,000 annually; 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. 

We are seeking a Senior Product Manager to fully own the Commission Plans & Contracts Platform, the systems and services that power contract and commission workflows and enable partner product teams, brokerage, and operations to execute reliably across markets. This role is ideal for a PM ready to own a product end-to-end with minimal guidance, set a 12-month roadmap, drive squad-level goals, and shape a 12–18 month vision in partnership with their manager. You will navigate technical and business complexity, make sound calls on architectural and business trade-offs (including the occasional one-way door), and align stakeholders across Product & Engineering, brokerage, and operations.

A successful candidate is an autonomous operator with strong product judgment who can take ambiguous problem spaces and turn them into clear, well-scoped, sequenced plans. You'll support both staff-facing and agent-facing workflows, with decisions on this platform having far-reaching impact across our broader systems and the experience of the agents and clients who depend on them. You bring structure to complexity, consistently making sound decisions on well-defined problems while driving clarity and alignment in more ambiguous or high-stakes situations. You collaborate across engineering, accounting, brokerage, and operations to turn cross-functional problems into durable solutions. Your work enables teams to operate efficiently and with confidence, with a strong emphasis on accuracy and trust in the data and logic powering critical workflows.

Responsibilities:

• Fully own the Commission Plans & Contracts Platform with minimal guidance, setting direction across discovery, definition, delivery, and iteration.
• Define and own a 12-month roadmap for your squad, translating organizational goals into squad-level goals and gaining alignment with your manager.
• Partner with your manager to define a 12–18 month product vision and own the near-term strategy that gets the squad there.
• Drive squad-level goals end-to-end, making good scope/time/quality trade-off recommendations and gaining alignment when deadlines need to shift.
• Author PRDs for 6–12 month efforts on a single team, covering business rules, edge cases, success metrics, rollout plans, and clear sequencing.
• Autonomously gather and synthesize inputs across LFR, user interviews, surveys, product support meetings, ad-hoc escalations, the feedback forum, key staff stakeholders, and quantitative analysis to inform product decisions.
• Coordinate across other P&E groups as well as brokerage and operations stakeholders to align on dependencies, sequencing, and launch readiness.
• Contribute meaningfully to UX thinking, offering input and feedback that shapes the design direction alongside your design partners.
• Solve medium-complexity problems to unblock the team and accelerate customer impact.
• Communicate proactively with all P&E stakeholders — and, with your manager's support, with business stakeholders — on status, risks, decisions, and trade-offs.
• Improve how your squad operates by identifying and driving process improvements that make the team more efficient.

Qualifications:

• 5+ years of product management experience (or equivalent) building and launching software products, including time spent fully owning a product area.
• Track record of autonomously executing in areas with some ambiguity, medium technical and business complexity, and medium platform risk (including a few one-way doors).
• Experience setting 12-month roadmaps, owning near-term strategy, and contributing to longer-term product vision.
• Strong PRD craft, with clear business rules, edge cases, metrics, and rollout plans.
• Demonstrated ability to drive squad-level goals and make good scope/time/quality trade-offs under real-world delivery pressure.
• Comfort synthesizing qualitative and quantitative inputs autonomously to inform decisions.
• Experience aligning stakeholders across Product & Engineering and adjacent business functions (e.g., operations, brokerage, GTM).
• Consistently sound product judgment on tactical decisions and the maturity to know when to bring controversial or ambiguous calls to your manager.
• Strong written and verbal communication; reliable, proactive, and high follow-through.

Compensation: The salary pay range for this position is $137,400 - $152,700; 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.

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Manager of Machine Learning Engineering within the Advanced Technologies Group to lead the technical vision and execution of our foundational systems that power our next generation of AI. You will oversee 4 critical pillars within the Machine Learning org:data engineering, annotation pipelines, ML Infrastructure and Deployment of Agentic AI solutions. You are a hands-on, senior technical leader with a broad dynamic range, capable of providing high-level strategic direction while remaining technically proficient enough to dive into the weeds with your team. Your mission is to transition state-of-art models into robust, autonomous production systems that automate complex enterprise workflows.You will partner closely with internal engineering teams and external vendors to build the scalable tools and data pipelines that define the future of recognition economy.

What you'll do

• Build and maintain scalable, compliant and auditable data infrastructure to serve computer vision and AI pricing use cases 
• Build scalable data engineering pipelines and automated annotation workflows (LLM-in-the-loop) to reduce reliance on manual labeling and accelerate model iteration
• Own the MLOps lifecycle, including distributed training infrastructure, model registries, and low-latency inference services. Ensure high availability and observability for all deployed models
• Define technical direction, lead and grow a high-performance team of data and ML infrastructure engineers to influence impactful business outcomes
• Develop foundational systems to productionize agentic AI, Large Language Models (LLMs) and Vision Language Models (VLMs) solutions for workflow automation to enhance our products
• Enable Metropolis’s move into personalization and targeted advertisement through innovative ML data pipelines and feature stores
• Collaborate with external vendors and annotation platform providers to ensure high-quality data for production models
• Partner with other ML leaders (Growth , Edge deployment) and cross-functional leaders in Hardware, Platform, and Product engineering to align development roadmaps

What we're looking for

• 10+ years of professional experience in data and machine learning engineering with proven expertise in building enterprise-scale, auditable ETL pipelines and data governance mechanisms
• 5+ years of experience in leadership and management, ideally having managed other managers
• MS or PhD in computer science and/or a quantitative discipline
• Strong experience in distributed data processing like Apache Spark, Kafka, Cloud native data storage and processing services
• 1+ years experience building data /eval pipelines and deploying agentic AI solutions (LLMs and/or VLMs)
• Experience managing technical programs, defining milestones, and communicating progress to diverse audiences
• Familiarity with deep learning frameworks such as TensorFlow or PyTorch
• Strong proficiency with SQL and Python
• Engage effectively with external data providers and vendors
• Familiarity with computer vision systems and models (e.g. object detection, tracking, segmentation)

While not required, these are a plus:

• Manage large scale datasets and database tools for data processing
• Deploy ML services to the cloud with a focus on scalability and reliability
• Operate in innovative, high-growth environments

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $200,000.00 USD to $250,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-AR1 #LI-Onsite

About the Role

We’re looking for an Applied Scientist (ALL LEVELS) to push the boundaries of applied machine learning and AI at Opendoor. While this role will have a significant impact on our valuation systems — ensuring we provide the most accurate and transparent pricing possible — the scope goes well beyond pricing. You’ll work across a range of challenging ML problems, from multi-modal modeling to operational optimization, helping us rethink how we use structured and unstructured data to make better decisions for our customers.

What You'll Need

• Strong software engineering and coding skills in Python, with experience contributing to production codebases
  
  
• Experience developing and deploying ML models end-to-end — from research and prototyping to implementation in production systems
  
  
• Hands-on experience with deep learning architectures, including ConvNets, Transformers, or similar
  
  
• Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative field
  
  
• Solid foundation in statistics and experimental design
  
  
• Strong communication and collaboration skills — you’re comfortable working with cross-functional stakeholders and can communicate technical ideas clearly
  
  

Nice to Have

• Familiarity with Pyspark and distributed data processing
  
  
• Background in search, recommendation systems, or personalization
  
  
• Experience working with large language models (LLMs) or vision-language models (VLMs)
  
  
• A genuine interest in real estate — no prior experience required, but you'll engage deeply with housing data
  
  

What You'll Do

• Design and deploy architectural improvements to our deep neural network (DNN)-based home valuation models
  
  
• Build interpretable ML models that can help us explain pricing decisions to customers
  
  
• Incorporate unstructured data — like images, videos, or text — into our forecasting and valuation pipelines using cutting-edge AI models (LLMs, VLMs, etc.)
  
  
• Collaborate with Engineering and Ops to enhance our human-in-the-loop pricing systems
  
  
• Improve the feature engineering and model training pipelines that power our production systems
  
  
• Rethink our risk and optimization models using real-world data and domain insight
  
  

We’re a small, nimble team — there’s ample opportunity to work across the entire research and modeling stack.

Compensation

The base pay range for this position is $156,800-$310,000 annually, plus RSUs. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-RO

About the Role

What You'll Need

• Experience developing quantitative models to support real-world decision-making under uncertainty
• Strong coding skills in Python, with the ability to move beyond prototyping and implement production-quality scientific code
• Experience with one or more of the following: causal inference, Bayesian modeling, structural modeling, demand forecasting, pricing science, or mathematical optimization
• Comfort working with messy, high-dimensional real-world data and translating ambiguous business problems into rigorous modeling approaches
• Advanced degree (MS or PhD preferred) in statistics, mathematics, economics, operations research, computer science, or another quantitative discipline
• Strong communication and collaboration skills — you’re comfortable working with cross-functional stakeholders and can communicate technical ideas clearly

Nice to Have

What You'll Do

Compensation

About the Role

What You'll Need

• Experience developing quantitative models to support real-world decision-making under uncertainty
• Strong coding skills in Python, with the ability to move beyond prototyping and implement production-quality scientific code
• Experience with one or more of the following: causal inference, Bayesian modeling, structural modeling, demand forecasting, pricing science, or mathematical optimization
• Comfort working with messy, high-dimensional real-world data and translating ambiguous business problems into rigorous modeling approaches
• Advanced degree (MS or PhD preferred) in statistics, mathematics, economics, operations research, computer science, or another quantitative discipline
• Strong communication and collaboration skills — you’re comfortable working with cross-functional stakeholders and can communicate technical ideas clearly

Nice to Have

What You'll Do

Compensation

About the role

Anthropic is seeking a Senior Manager, Infrastructure Accounting to join our Infrastructure Accounting team. In this role, you will execute day-to-day accounting for a portion of Anthropic's infrastructure portfolio — the leased and owned assets underpinning our recently announced $50bn investment in American computing infrastructure. As we continue our rapid growth, you will help ensure the operational scalability and financial accuracy of the core functions that enable Anthropic's research and commercial success.

This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic's growing infrastructure portfolio is accounted for and understood across the business.

You will own end-to-end accounting for either Anthropic's lease portfolio or its capex and fixed asset portfolio, working closely with cross-functional partners across Data Center Operations, Real Estate, Finance, and Legal. You'll apply deep technical accounting expertise under ASC 842 (leases) and/or ASC 360 (fixed assets), and help build the processes, controls, and systems that let this function scale.

Responsibilities

• Lead end-to-end accounting for a portion of Anthropic's AI infrastructure portfolio — leased or owned — including monthly close, construction-in-progress (CIP) tracking where applicable, reconciliations, roll-forwards, and flux analysis
• Apply technical accounting expertise to complex infrastructure arrangements under ASC 842 (lease classification, measurement, modifications, embedded leases, and reassessments) and/or ASC 360 (capitalization, useful lives, impairment, disposals, and asset retirement obligations)
• Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made
• Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on
• Collaborate cross-functionally to improve the quality of upstream data pipelines from operational and contract systems, particularly around contract terms, asset receipt, deployment, and in-service dates
• Design and scale systems, processes, and controls to support a rapidly growing infrastructure portfolio
• Collaborate with and mentor accounting professionals across the Infrastructure Accounting team
• Serve as a key point of contact with external auditors on lease and / or fixed asset accounting matters
• Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting

You may be a good fit if you

• Have 10+ years of progressive experience in accounting, with operational experience at technology or infrastructure-heavy companies
• Hold a Bachelor's degree in Accounting or Finance; CPA or equivalent preferred
• Possess strong technical accounting knowledge of ASC 842 and / or ASC 360, particularly as applied to infrastructure, data center, or compute-related arrangements
• Have experience managing a significant lease or fixed asset portfolio in a high-growth environment
• Demonstrate strong analytical abilities and comfort working with large, complex datasets
• Have a track record of improving scalable financial processes in fast-moving environments
• Have experience mentoring and developing accounting professionals
• Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders
• Communicate clearly and influence effectively across cross-functional partners
• Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency

Strong candidates may have

• Experience at hyperscalers, large compute consumers, data center operators, or telecommunications companies with exposure to infrastructure lease or asset structures (including colocation, dark fiber IRUs, GPU clusters, networking equipment, and data center buildouts)
• Experience with lease accounting software and / or fixed asset subledger systems at scale
• SQL proficiency for querying and analyzing large infrastructure and accounting datasets
• Background in Big 4 accounting or advisory services combined with industry experience
• Experience with complex data center buildouts or hybrid cloud / on-premise environments
• Knowledge of AI/ML infrastructure and associated cost structures
• Experience applying AI tooling (including Claude) to accounting processes, memo drafting, or close automation
• Proven ability to navigate ambiguity and drive results in rapidly changing environments

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

Metropolis is seeking a Machine Learning Engineer to develop and expand our revenue forecasting and dynamic pricing systems. This position is part of the machine learning team within the Advanced Technology Group (ATG) and directly influences key business metrics, including revenue, utilization, and customer demand. In this role, you will design and implement models that predict demand, analyze price–demand relationships, and develop pricing strategies. This is a highly impactful role with significant ownership over data, modeling, and infrastructure systems.

What you'll do

• Design, develop, and productionize demand forecasting models optimized for different business goals (e.g., visits, revenue, availability)
• Innovate and improve Machine Learning models for price elasticity, time series, and probabilistic models for revenue optimization
• Design and build end-to-end data pipelines to support large-scale production usage
• Identify data issues (e.g., bias, leakage, labeling inconsistencies) and drive solutions
• Design and analyze experiments (A/B, switchback, causal inference) to validate pricing strategies
• Deploy and monitor models in production, ensuring reliability, scalability, and data quality
• Collaborate with product, engineering, and business teams to translate requirements into scalable ML solutions

What we're looking for

• PhD in Computer Science, Statistics, Economics, Applied Mathematics, or a related STEM field, with at least 1+ years of relevant experience, or MS with equivalent publications
• Proficient programming skills in Python and SQL
• Foundational experience in machine learning modeling and statistics, such as time series forecasting, probabilistic models, and deep learning models
• Strong knowledge with forecasting, optimization, and decision-making algorithms, including revenue maximization, constrained optimization, and demand/price curve optimization
• Solid understanding of causal inference and experimentation, with experience evaluating both short-term and long-term effects (A/B testing, DiD, uplift modeling)
• Hands-on experience with data pipeline development, including AWS data storage, data transformation, distributed processing (Spark), and workflow orchestration (Airflow)
• Strong communication skills, both written and verbal, with the ability to operate effectively at team and deep technical levels
• Comfortable reading academic papers and formulating concepts using mathematical notation

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 USD to $180,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-NM1 #LI-Onsite

About You and The Role  

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

At Compass International Holdings (CIH), real estate transactions are powered by a complex web of referral programs, franchise relationships, and monetization agreements — each requiring precise attribution and business rule enforcement. The Referral & Monetization team owns the business rules, attribution pipelines, and tracking systems for brokerages’ Real Estate's referral programs, ensuring every referred lead is correctly attributed to the right program, franchise, and fee structure.

As a Senior Software Engineer on this team, you will design and build the systems that power the CIH referral rules engine, franchise lead attribution pipeline, lead monetization model, and the external partner API used by AST broker matching. Your work directly impacts revenue accuracy and the integrity of referral economics across a national franchise network.

At Compass, You Will: 

• Design and build the referral program rules engine — the system that determines which referral program applies to a given lead, based on brokerage, franchise, geography, and agent profile
• Own the franchise lead attribution pipeline — tracking which franchise or brokerage sourced a lead and ensuring accurate revenue attribution across Anywhere's broker network
• Build and evolve the lead monetization model — the set of rules that govern how leads are priced, attributed, and reconciled across programs
• Maintain and extend the broker matching partner API — an external-facing integration used to match consumers with brokers at scale, with high reliability requirements
• Build referral program reporting for brokers — self-serve dashboards and data pipelines that give brokers visibility into their referral performance and attribution
• Design robust, auditable data pipelines that support financial reconciliation and compliance requirements
• Operate in a scalable engineering culture that leverages modern principles of decoupled systems and automated CI/CD/testing/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 languages such as Go, Java
• Experience with gRPC, Thrift, and other server-to-server communication protocols
• Experience with Kafka and event-driven systems — particularly for building reliable, ordered, and auditable data pipelines
• 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 delivering operational excellence

Preferred Qualifications:

• Rules engine or business logic systems: Experience designing and implementing rules engines, workflow engines, or policy evaluation systems where business rules change frequently and correctness is non-negotiable (e.g. pricing engines, eligibility checkers, entitlement systems)
• Revenue attribution or financial data pipelines: Hands-on experience building attribution systems that track the origin of a transaction across a multi-step funnel — particularly where attribution affects revenue recognition or partner payouts
• Multi-entity or franchise platform experience: Experience building platforms that serve multiple brands, franchises, or regional entities with distinct business rules, while sharing common infrastructure — knowing when to generalize a rule vs. when to fork it
• External partner API development: Experience owning and operating external-facing APIs used by third-party partners or brokers, including versioning, SLA management, reliability engineering, and partner onboarding
• Financial or commission domain knowledge: Familiarity with referral fee structures, commission splits, transaction-level economics, or financial reconciliation workflows — ideally in real estate, insurance, or fintech
• Audit logging and compliance: Experience building systems where every state transition must be auditable and traceable, supporting financial reconciliation and regulatory requirements
• 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.

We are seeking a Group Product Manager to lead the product team responsible for the strategy and execution of our real estate leads platform—one of the most critical systems connecting high-intent homebuyers and sellers with the right real estate professionals. Sitting at the center of the largest real estate brokerage in the U.S., you will own how demand is captured, matched, and delivered, improving outcomes for both consumers and agents. 

You’ll unify multiple leads products into a single, scalable system that supports all lead sources—from owned sources like Compass.com to strategic partners like Redfin and Rocket Mortgage—serving more than 300,000 real estate professionals. Operating at both a strategic and technical level, you will define our lead platform strategy, deliver roadmaps, drive execution, and shape how agents experience and derive value from our platform—delivering measurable business results while maintaining a seamless and transparent experience for consumers and agents.

This role strongly prefers PM experience on large-scale real estate products.

At Compass you will: 

• Define and drive the product vision, strategy, and roadmap for the lead platform, balancing near-term impact with long-term evolution
• Lead the development and optimization of matching, routing, and distribution systems to improve conversion, efficiency, and revenue
• Leverage data, experimentation, user research, and machine learning to inform product decisions and continuously improve performance
• Using detailed specifications as your foundation, collaborate with engineering and design leaders, driving accountability to ship features that are highly usable, and loved by our agents and staff
• Collaborate with business stakeholders to ensure product investments align with partner success and company priorities
• Work alongside Product peers to deliver intuitive, transparent agent experiences that drive adoption and clearly communicate value
• Translate complex technical systems into clear, actionable strategies that can be understood across technical and non-technical audiences
• Establish clear goals, success metrics, and experimentation frameworks to measure impact and guide prioritization
• Operate as a product leader within the organization, influencing cross-functional teams and driving alignment across multiple stakeholders
• Lead and grow a strong product management team that works with cross functional partners, including engineering, design, product marketing, research, and business strategy

What We Look For:

• 8+ years of experience in product management, with a strong track record of owning and scaling complex platform products
• 3+ years of experience on a product team for a real estate portal or large brokerage with strong online presence strongly preferred, huge plus if in lead generation or delivery
• BS in Business, Economics, Computer Science, Engineering or equivalent. MS or MBA preferred but not required
• Strong technical foundation, with the ability to partner effectively on system design, algorithms, and data flows
• A manager-doer who’s willing to roll up their sleeves and get things done
• Proven ability to use data, experimentation, and user research to inform strategy, prioritize effectively, and drive measurable business outcomes
• Ability to effectively gather and prioritize user requirements from disparate sources, going beyond user requests to get to key needs, and the ability to rationalize across and resolve stakeholder differences
• Strong consensus and relationship-building skills, with experience marshaling resources across different functions of an organization
• Ability to thrive and adapt in a fast-paced, high-growth, and rapidly changing environment, bringing clarity to ambiguity
• Excellent written and verbal communication skills that allows you to influence other teams, create clarity, and drive focus on complex problems

Compensation: The salary pay range for this position is a base pay of $208,500 - $254,900 annually; 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. 

About the role

Anthropic’s Global Safety, Intelligence, and Security (GSIS) team is responsible for protecting our people, facilities, and operations worldwide. The function spans intelligence, executive protection, investigations, travel and event security, security technology, security operations, environmental health and safety, and crisis management — and it’s growing quickly as Anthropic’s footprint, public profile, and threat surface all expand.

We’re looking for a senior operational leader to own the day-to-day resilience of every Anthropic location worldwide. Reporting to the Head of GSIS, you’ll lead three tightly connected functions — physical security operations, environmental health and safety, and event security — across a global office portfolio that includes specialized environments such as research labs. You’ll manage a growing team of practitioners and an existing EHS program, and you’ll be the person leadership turns to when something needs to be safe, secure, and operational, every day, in every location.

This is an unapologetically operational role. You’ll set the standards, run the programs, manage the vendors, own the metrics, and answer for outcomes when something goes wrong at 2am in a different time zone. You’ll partner closely with Real Estate and Workplace, People, Legal, IT, and the rest of the GSIS leadership team — and you’ll work alongside the Head of Protective Services on high-profile events where the threat picture and the operational footprint converge. The right person is equally comfortable writing an OSHA-compliant program from scratch, walking a new office build with a contractor, briefing an executive on event-day security posture, and coaching a guard force supervisor through an incident debrief.

Responsibilities

Lead global physical security operations

• Own physical security strategy, standards, and execution across all Anthropic offices globally — including access control, intrusion detection, visitor management, guard force operations, and after-hours response
• Manage the contract guard force vendors end-to-end: selection, SLAs, performance management, and renewal — holding partners to a standard worthy of the company they’re protecting
• Build and maintain global physical security standards that scale with new office openings, ensuring consistency without ignoring the realities of local jurisdictions, building stock, and threat environments
• Partner with Real Estate and Workplace on new site selection, build-outs, and retrofits to ensure security and life-safety requirements are designed in, not bolted on
• Own incident response for physical security events and lead after-action reviews that drive concrete program improvements

Run a true Environmental Health and Safety program

• Lead Anthropic’s global EHS program, ensuring compliance with OSHA and equivalent international workplace safety regulations across all locations
• Oversee EHS for specialized environments including research labs — covering hazard assessment, chemical hygiene where applicable, ergonomics, emergency action plans, and incident reporting and investigation
• Manage and develop the existing EHS program, and grow the function as the company’s footprint expands
• Own workplace safety training, recordkeeping, and the evidence base needed for audits, insurance renewals, and regulatory inquiries

Own event security globally

• Lead security planning and execution for major Anthropic events — both internal (all-hands, offsites, milestone gatherings) and external-facing (launches, recruiting events, public-facing convenings)
• Partner closely with the Protective Services team on events involving senior leadership or elevated threat profiles, ensuring clean handoffs and unified command
• Build a repeatable event security operating model — site surveys, threat assessments, staffing plans, communications protocols, run-of-show integration — so every event clears the same bar without reinventing the playbook
• Manage event security vendors and contracted staff across regions

Lead and grow the team

• Manage a growing team of physical security, EHS, and event security professionals — hiring, developing, and retaining practitioners who can operate independently across regions and time zones
• Set performance expectations, run a real operating cadence, and create the kind of team where people want to build careers
• Sit on the GSIS leadership team alongside peers leading Intelligence/Investigations/Insider Risk, Protective Services, Public Sector Security, and other pillars — contributing to overall function strategy and cross-pillar initiatives

You may be a good fit if you

• Have 15 years of relevant experience
• Have substantial leadership experience running physical security operations at a multi-site or global organization, with direct accountability for outcomes — not just oversight
• Have owned or directly managed an OSHA-regulated EHS program, including for specialized environments such as labs, R&D facilities, or similar
• Have led security planning and execution for major events, including external-facing events with elevated visibility or threat profiles
• Have managed contract guard forces at scale and know how to get real performance out of a vendor relationship
• Are an experienced people manager who has built and developed teams of security and safety practitioners
• Bring strong judgment under pressure — you can make the right call when information is incomplete and the clock is running
• Write and communicate clearly across audiences, from frontline officers to executive leadership
• Care about Anthropic’s mission and the unique resilience considerations that come with building frontier AI systems

Strong candidates may also

• Hold relevant credentials such as CSP, ASP, CHMM, CPP, PSP, or equivalent
• Have worked at a high-growth technology company, frontier research organization, or similarly high-scrutiny environment
• Have stood up physical security or EHS programs in new offices or new countries from the ground up
• Have direct experience with lab safety, chemical hygiene plans, or research environment EHS
• Have led security operations during a significant incident, crisis, or sustained threat event
• Have managed third-party security and EHS providers across multiple regions and regulatory regimes

Logistics

• This is a hybrid role and can be based near any Anthropic office
• Approximately 25% travel expected to support global operations, site assessments, and major events

This role is for operators who take pride in the unglamorous work of keeping people safe and operations running — if you want ownership, scope, and a team worth building, we’d like to meet you.

Deadline to apply: None. Applications will be received on a rolling basis.

Position Summary

The Director will facilitate the representation of clients in the buying and selling of commercial properties, providing essential support in negotiations between buyers and sellers. This role involves acting as an intermediary to ensure successful transactions and optimal outcomes for all parties involved.

Responsibilities

• Drive the growth and expansion of Berkadia’s Investment Sales practice by aggressively originating, structuring, and closing transactions.
• Promote the sale of commercial real estate through diverse marketing channels.
• Prepare and provide necessary legal documentation to support transactions.
• Build and nurture client relationships within the assigned region.
• Collaborate with Mortgage Bankers to enhance business development and strengthen the Berkadia brand.
• Accompany buyers on property tours, offering advice on property suitability and value.
• Stay informed about commercial real estate and market trends by reviewing industry literature and attending conventions, seminars, and association meetings.
• Other duties as assigned.

_________________________________________________________________________________________________

Preferred Qualifications

• Previous experience in Investment Sales Brokerage – Affordable Housing preferred.
• Proven ability to work effectively under tight deadlines within a collaborative team environment.
• Strong organizational skills with the capacity to manage multiple tasks simultaneously.
• Exceptional attention to detail and excellent verbal and written communication skills.

 Preferred Education & Experience

High school diploma or GED

3+ years of experience in a similar position

Be the Next Big Thing. Be Berkadia.

#LI-RECRUITER INITALS (#LI-HYBRID, #LI-ONSITE, #LI-REMOTE, #LI-DNI)

Are you looking for an opportunity to work on a highly collaborative team where partnership drives performance?

Berkadia’s investment sales platform offers the highest-quality deal marketing resources, technology that marries local expertise with capital markets knowledge, and seamless integration with our mortgage banking and servicing platforms to ensure your success. Advance your career in a culture committed to personal and professional growth. Be Backed by the Best. Be Berkadia.

The Sr Administrative Assistant at Berkadia supports our Investment Sales team by assisting with administrative tasks enabling them to spend more time on deal volume. The Sr Administrative Assistant will perform essential administrative functions such as coordinating and prioritizing the daily activities as needed. 

We Innovate to shape the future of CRE, so in this role you will:

• Function as a coordinator between the brokers and the team
• Assisting with tasks related to deals, scheduling, and organization.
• Coordinate and execute administrative functions so the team can focus on deals and process workflow to increase production
• Enter data as necessary into the company’s CRM and as well as Excel pipelines and reports
• Utilize Microsoft Office Suite to prepare reports, presentations, and organizational charts
• Prepare and submit expense reports for the brokers
• Prioritize work to ensure timely completion of assignments with strong attention to quality
• Maintain confidentiality and security of highly sensitive information and materials
• Process and distribute a high volume of internal and external correspondence
• Other duties as assigned

We Stand for Excellence, so to achieve success in this role you should have:

• Advanced level of proficiency in MS Word, Excel, PowerPoint, Outlook; Salesforce experience
• Commercial real estate experience a plus
• Ability to be flexible, work with tight deadlines in a team environment
• Possess a strong attention to detail and the ability to multi-task and stay organized
• Demonstrate excellent verbal and written communication skills
• Ability to work well with all levels of internal/external management and staff
• Sensitivity to confidential matters is required.
• High school diploma or GED
• Seven to ten years prior experience in a similar position.

We believe People Matter, so we offer benefits that go beyond:

• Monthly paid volunteer hours and donation matching to benefit our communities 
• Employee Resource Groups that help you grow with us
• Fertility and family planning services  
• Up to 12-weeks of fully paid parental leave   
• Mental health care, including free counseling sessions:  
• We'll help you fund your learning journey with generous tuition reimbursement 
• Pet insurance discounts 
• And more! 

Be the Next Big Thing. Be Berkadia.

#LI-HF1 #LI-ONSITE

Are you looking for an opportunity to work on a highly collaborative team where partnership drives performance?

Berkadia’s investment sales platform offers the highest-quality deal marketing resources, technology that marries local expertise with capital markets knowledge, and seamless integration with our mortgage banking and servicing platforms to ensure your success. Advance your career in a culture committed to personal and professional growth. Be Backed by the Best. Be Berkadia.

The Sr Administrative Assistant at Berkadia supports our Investment Sales team by assisting with administrative tasks enabling them to spend more time on deal volume. The Sr Administrative Assistant will perform essential administrative functions such as coordinating and prioritizing the daily activities as needed. 

We Innovate to shape the future of CRE, so in this role you will:

• Function as a coordinator between the brokers and the team
• Assisting with tasks related to deals, scheduling, and organization.
• Coordinate and execute administrative functions so the team can focus on deals and process workflow to increase production
• Enter data as necessary into the company’s CRM and as well as Excel pipelines and reports
• Utilize Microsoft Office Suite to prepare reports, presentations, and organizational charts
• Prepare and submit expense reports for the brokers
• Prioritize work to ensure timely completion of assignments with strong attention to quality
• Maintain confidentiality and security of highly sensitive information and materials
• Process and distribute a high volume of internal and external correspondence
• Other duties as assigned

We Stand for Excellence, so to achieve success in this role you should have:

• Advanced level of proficiency in MS Word, Excel, PowerPoint, Outlook; Salesforce experience
• Commercial real estate experience a plus
• Ability to be flexible, work with tight deadlines in a team environment
• Possess a strong attention to detail and the ability to multi-task and stay organized
• Demonstrate excellent verbal and written communication skills
• Ability to work well with all levels of internal/external management and staff
• Sensitivity to confidential matters is required.
• High school diploma or GED
• Seven to ten years prior experience in a similar position.

We believe People Matter, so we offer benefits that go beyond:

• Monthly paid volunteer hours and donation matching to benefit our communities 
• Employee Resource Groups that help you grow with us
• Fertility and family planning services  
• Up to 12-weeks of fully paid parental leave   
• Mental health care, including free counseling sessions:  
• We'll help you fund your learning journey with generous tuition reimbursement 
• Pet insurance discounts 
• And more! 

Be the Next Big Thing. Be Berkadia.

#LI-HF1 #LI-ONSITE

About the role

Anthropic is seeking a Director, Infrastructure & Energy Accounting to lead technical accounting for our most complex infrastructure and energy arrangements — the data center leases, power purchase agreements, and related structures underpinning our recently announced $50bn investment in American computing infrastructure. As we continue our rapid growth, you will ensure the financial statement accuracy of the most technically complex contracts we enter into.

This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic accounts for the highest-stakes arrangements underpinning our compute and energy portfolio.

You will serve as the technical accounting subject matter expert for arrangements spanning data center leases (ASC 842), power purchase agreements and energy contracts (including those containing embedded derivatives under ASC 815), and counterparty or joint-venture structures (ASC 810 VIE analysis). You'll work closely with Real Estate, Legal, Finance, and external auditors to ensure accounting implications are understood before commitments are made.

Responsibilities

• Serve as the technical accounting subject matter expert for Anthropic's most complex infrastructure and energy arrangements, leading classification, measurement, and subsequent accounting judgments
• Apply ASC 842 to complex lease arrangements, including lease identification, modifications, reassessments, and embedded leases within compute, colocation, and data center contracts
• Apply ASC 810 to counterparty and joint-venture structures, including variable interest entity (VIE) analysis for special purpose entities
• Apply ASC 815 to energy and infrastructure arrangements, including consideration of embedded derivatives
• Lead technical accounting analysis and memo preparation for new arrangements, ensuring positions are well-reasoned, supported, and auditor-ready
• Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made
• Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on
• Serve as a key point of contact with external auditors on technical accounting matters within your portfolio
• Mentor accounting professionals across the Infrastructure Accounting team on technical accounting matters
• Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of technical accounting work

You may be a good fit if you

• Have 12+ years of progressive experience in accounting, with meaningful time in a technical accounting role
• Hold a Bachelor's degree in Accounting or Finance; CPA required
• Possess strong technical accounting knowledge of ASC 842 (leases), ASC 810 (consolidation, including VIE analysis), and ASC 815 (derivatives and hedging), applied to real arrangements
• Have experience accounting for energy contracts — Power Purchase Agreements, Virtual PPAs, Renewable Energy Credits, or similar commodity arrangements
• Have a track record of authoring and defending technical accounting memos on complex, judgment-intensive arrangements
• Demonstrate strong analytical abilities and comfort working with large, complex contracts and datasets
• Have a track record of improving scalable technical accounting processes in fast-moving environments
• Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders
• Communicate clearly and influence effectively across cross-functional partners — Real Estate, Legal, Finance, and Procurement
• Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency

Strong candidates may have

• Background in a Big 4 technical accounting practice (SEC reporting / technical consultation) combined with industry experience
• Experience at hyperscalers, utilities, or energy companies with meaningful PPA, REC, or commodity-arrangement exposure
• Experience with renewable energy contracts, carbon markets, or related clean-energy accounting frameworks
• Exposure to data center and compute-related infrastructure arrangements (including colocation, dark fiber IRUs, and equipment leases)
• Experience with lease accounting software and derivative / hedge accounting systems at scale
• SQL proficiency for querying and analyzing large contract and accounting datasets
• Knowledge of AI/ML infrastructure and associated cost structures
• Experience applying AI tooling (including Claude) to technical accounting research, memo drafting, or close automation
• Proven ability to navigate ambiguity and drive results in rapidly changing environments

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Vice President of Aviation Growth to join our team. This is a critical leadership position responsible for developing and executing the growth and commercial strategy for the aviation segment. This leader will shape the long-term vision and roadmap for profitable growth in Metropolis’ aviation sector, bringing together data-driven insights, commercial strategy, and ecosystem partnerships. The Vice President of Aviation Growth will drive the commercial and strategic expansion of Metropolis’ aviation sector. This leader develops long-term growth plans, scales innovative offerings, forges key partnerships, and steers M&A and business development to achieve market leadership and profitability.

What you'll do

• Scale the “Value Add Services” offering by leading strategy and execution to grow airport revenue services and SaaS income, integrating pricing, reservations, and marketing capabilities
• Scale the Aviation B2C business by relaunching the Aviation B2B Segment product with strong marketing and channel strategies
• Build strategic partnerships by developing collaborations with airlines, airport tech providers, and service partners to expand distribution and capabilities
• Define aviation vision by co-leading the unified product and service roadmap for aviation offerings, including parking and value-added services
• Own the aviation business plan by creating and maintaining a 5-year financial and strategic plan in partnership with Sales and Finance
• Establish growth reporting by developing dashboards and reporting frameworks to track aviation performance and KPIs
• Lead the M&A strategy by identifying and evaluating acquisition opportunities that strengthen the aviation portfolio
• Own and drive thought leadership by representing Metropolis in industry forums and publishing insights on aviation innovation and AI-driven growth

What we're looking for

• 15+ years in aviation, mobility, transportation, travel, or technology sectors with proven commercial growth leadership
• Bachelor's degree or equivalent experience
• Strong background in strategy, business development, partnerships, and P&L management
• Skilled in financial modeling, data-driven decision-making, and market analysis
• Demonstrated ability to manage cross-functional teams and drive organizational alignment
• Excellent presentation and stakeholder management skills
• Experience leveraging AI tools to transform static workflows into responsive, high-output processes

While not required, these are a plus:

• MBA or equivalent preferred

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $280,000.00 USD to $310,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-WT1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

• Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs, including troubleshooting task failures and improving run times
• Implement metadata management, data lineage, and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering, data science, and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

What we're looking for

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL, window functions, and query optimization for complex data manipulations
• Applied performance best practices, including partitions, sort keys, and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

• A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

• Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs, including troubleshooting task failures and improving run times
• Implement metadata management, data lineage, and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering, data science, and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

What we're looking for

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL, window functions, and query optimization for complex data manipulations
• Applied performance best practices, including partitions, sort keys, and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

• A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

• Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs, including troubleshooting task failures and improving run times
• Implement metadata management, data lineage, and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering, data science, and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

What we're looking for

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL, window functions, and query optimization for complex data manipulations
• Applied performance best practices, including partitions, sort keys, and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

• A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

• Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs, including troubleshooting task failures and improving run times
• Implement metadata management, data lineage, and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering, data science, and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

What we're looking for

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL, window functions, and query optimization for complex data manipulations
• Applied performance best practices, including partitions, sort keys, and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

• A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

• Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs, including troubleshooting task failures and improving run times
• Implement metadata management, data lineage, and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering, data science, and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

What we're looking for

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL, window functions, and query optimization for complex data manipulations
• Applied performance best practices, including partitions, sort keys, and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

• A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease, and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working, and playing remarkable, giving us back our most valuable asset, time.

Who you are

Metropolis is seeking a Staff Software Engineer for our “Network Expansion” team. You will play a key role in building new functionality to support our expansion into new mobility verticals and larger, more complex parking markets. This role requires an individual who thrives in fast-paced environments, working both cross-functionally with product, design, and operations as well as working across multiple engineering teams. 

What you'll do

• Provide technical direction that influences the entire company by formulating and implementing a technical vision and roadmap
• Lead large, cross-team initiatives through the entire development lifecycle, from ideation and requirements through successful launch
• Lead multiple engineering teams (10-15 engineers) towards a common goal
• Work cross-functionally with designers and product managers to understand, model, and solve real-world problems
• Own the outcomes! You’re responsible for real-world metrics shifts and company-defining business outcomes, not just for shipping software 
• Moderate technical discussions, evaluate new techniques, and ensure our platform is constantly evolving and improving
• Leverage best practices in automation testing and deployment to enable rapid iteration and launch of new features
• Help build a culture where bugs and mistakes in Production are treated as opportunities to improve the platform
• Be a great coach to bring the best out of our engineers and a key driver of hiring top talent

What we're looking for

• MS or BS in Computer Science or equivalent work experience. Strong fundamental computer science skills
• 10+ years of experience building customer-centric applications and products
• Proven track record of designing and delivering distributed systems and software products in consumer-facing applications
• Experience with microservices, event-driven architectures, and related technologies and paradigms
• Experience with Agile engineering processes that support the entire software development life cycle, including TDD/BDD, CI/CD, and related build/test/deploy processes
• Experience with database technologies, especially MySQL and Postgres.
• Excellent written and verbal communication skills with a proven ability to present complex technical information clearly and concisely to a variety of audiences
• Track record of successful cross-functional collaboration while building customer solutions in B2C and B2B settings
• Experience succeeding in situations with high levels of ambiguity
• Able to work in the office in one of Santa Monica (Los Angeles), New York City, or Seattle

While not required, these are a plus:

• Advanced-level knowledge of Scala
• An advanced degree in a technical field, such as computer science
• Previous experience working inside innovative, high-growth environments
• Experience with leveraging AI technology to streamline engineering activities

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $220,000 USD to $250,000 USD annually. The actual base pay offered is determined by several variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base pay is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more.

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

We are seeking a Senior Software Engineer, Backend, to join our Advanced Technologies team. In this role, you will design, develop, and maintain scalable backend systems that integrate cutting-edge hardware with advanced machine learning to understand the behavior of objects in the real world. You'll work with a modern tech stack, including AWS, Java, Scala, gRPC and Protobuf, Redis, MySQL, PostgreSQL, Kubernetes, and Kafka, to deliver high-performance, reliable services. If you are excited about solving complex technical challenges and working at the intersection of distributed systems, real-time data processing, and scalable infrastructure, we would love to hear from you.

What you'll do

• Build robust, scalable, and maintainable backend services in Java and Scala to support mission-critical operations
• Design and implement gRPC APIs to enable high-performance, real-time data transfer between services
• Leverage Redis and MySQL for efficient data storage and retrieval, ensuring reliability and low-latency access
• Deploy and manage microservices on Kubernetes, optimizing for scalability, resilience, and cost efficiency
• Work with Kafka to build scalable, event-driven architectures for real-time data streaming and processing
• Partner with Hardware, Machine Learning, and Operations teams to ensure seamless integration across the ecosystem and provide appropriate tooling
• Analyze and address bottlenecks in performance and scalability while maintaining a focus on system reliability and data integrity

What we're looking for

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
• 8+ years of experience in backend development, preferably within platform or core services
• Proven expertise in industry-standard programming languages, preferably Java and Scala
• Experience building gRPC APIs for efficient and reliable communication between services
• Strong understanding of database design and optimization using Redis and MySQL
• Familiarity with container orchestration and scaling using Kubernetes
• Hands-on experience with Kafka for event-driven architectures
• Exceptional analytical skills with a proven ability to tackle complex technical problems and design innovative solutions
• A team player with excellent communication skills, a learning mindset, and a proactive approach to working across teams

While not required, these are a plus:

• Exposure to frontend integration with frameworks like Next.js

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 USD to 200,000.00 USD annually. The actual base pay offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base pay is one component of Metropolis’s total compensation package, which usually includes: healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-NM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

We are seeking a Senior Software Engineer, Backend, to join our Advanced Technologies team. In this role, you will design, develop, and maintain scalable backend systems that integrate cutting-edge hardware with advanced machine learning to understand the behavior of objects in the real world. You'll work with a modern tech stack, including AWS, Java, Scala, gRPC and Protobuf, Redis, MySQL, PostgreSQL, Kubernetes, and Kafka, to deliver high-performance, reliable services. If you are excited about solving complex technical challenges and working at the intersection of distributed systems, real-time data processing, and scalable infrastructure, we would love to hear from you.

What you'll do

• Build robust, scalable, and maintainable backend services in Java and Scala to support mission-critical operations
• Design and implement gRPC APIs to enable high-performance, real-time data transfer between services
• Leverage Redis and MySQL for efficient data storage and retrieval, ensuring reliability and low-latency access
• Deploy and manage microservices on Kubernetes, optimizing for scalability, resilience, and cost efficiency
• Work with Kafka to build scalable, event-driven architectures for real-time data streaming and processing
• Partner with Hardware, Machine Learning, and Operations teams to ensure seamless integration across the ecosystem and provide appropriate tooling
• Analyze and address bottlenecks in performance and scalability while maintaining a focus on system reliability and data integrity

What we're looking for

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
• 8+ years of experience in backend development, preferably within platform or core services
• Proven expertise in industry-standard programming languages, preferably Java and Scala
• Experience building gRPC APIs for efficient and reliable communication between services
• Strong understanding of database design and optimization using Redis and MySQL
• Familiarity with container orchestration and scaling using Kubernetes
• Hands-on experience with Kafka for event-driven architectures
• Exceptional analytical skills with a proven ability to tackle complex technical problems and design innovative solutions
• A team player with excellent communication skills, a learning mindset, and a proactive approach to working across teams

While not required, these are a plus:

• Exposure to frontend integration with frameworks like Next.js

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 USD to 200,000.00 USD annually. The actual base pay offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base pay is one component of Metropolis’s total compensation package, which usually includes: healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-NM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

Metropolis is seeking a Director of Applied AI to lead our newly formed Applied AI organization and architect an AI-first operating model from the ground up. You are a technical leader with a rare blend of engineering depth, organizational influence, and a relentless instinct for shipping production-ready systems. Reporting to senior leadership, you will define where AI creates the most leverage across our business—including finance, operations, and GTM—and build the high-performing team of AI Engineers and Process Analysts required to make that vision a reality. Your success will be measured by your ability to partner cross-functionally to redesign core processes, eliminating friction and delivering tangible outcomes in time savings and cost impact.

What you'll do

• Own the Applied AI roadmap by identifying high-leverage opportunities to rebuild business processes across finance, operations, revenue, and GTM 
• Hire, develop, and lead a team of AI Engineers and Process Analysts while establishing a culture of fast iteration 
• Partner deeply with functional leaders to understand current work flows and design AI-first solutions to eliminate friction 
• Set standards for how the team designs, evaluates, and deploys AI workflows, including prompt systems and LLM integrations 
• Establish metrics for each process transformation and hold the team accountable to time savings, error reduction, and cost impact 
• Serve as the internal authority on applied AI capabilities, tooling trends, and emerging best practices 
• Present strategy, progress, and results to senior leadership and the executive team

What we're looking for

• 7+ years of experience in software engineering, AI/ML, or technical product leadership 
• At least 2 years leading teams that shipped AI-powered systems in production
• Maintain deep hands-on familiarity with LLMs, agentic workflows, and AI automation tooling such as OpenAI, LangChain, and vector databases
• Demonstrate strong engineering skills and the ability to credibly review and guide technical decisions
• Show a track record of driving organizational change through technology and ensuring tools are adopted for sustained impact
• Apply experience working across functional boundaries to redesign processes with strong instincts for change management
• Utilize excellent communication skills to distill complex AI concepts for a non-technical executive audience
• Maintain a bias toward shipping by moving fast and setting clear expectations for high standards

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $225,000.00 USD to $265,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-RR1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a strategic and dynamic Director, Business Development to join our fast-growing team. As a key individual contributor, you will own a regional territory, driving net-new business and negotiating deals. This is an exciting opportunity to play a pivotal role in expanding Metropolis's presence as we revolutionize parking and beyond with cutting-edge AI and computer vision technology. You'll leverage your relationship-building skills and network to drive growth and impact.

What you'll do

• Own the full sales cycle in your assigned regional territory (Seattle) from prospecting and relationship development to negotiation and close
• Identify and develop net new business opportunities through multiple lead generation channels including cold outreach and networking events
• Use a consultative approach to uncover pain points and translate them into customized, solution-oriented proposals
• Lead client presentations, including discovery sessions and proposal delivery
• Build upon and create new relationships across key stakeholder groups
• Work cross functionally with teams on underwriting and financial modeling
• Collaborate with cross-functional teams such as marketing, operations, and legal to align efforts to overall business goals
• Monitor and manage pipeline development and sales performance metrics in CRM to drive continuous improvement
• Stay up to date on industry trends and emerging technologies to inform business development strategies and initiatives
• Travel regionally to support clients and prospecting as needed

What we're looking for

• 8+ years in B2B business development, sales, or related roles
• Experience selling into asset managers, ownership groups, or other real estate partners
• Demonstrated ability to create new relationships and leverage existing ones to generate opportunities and accelerate deal velocity
• Strong understanding of P&L and creative deal structuring
• Proven track record of meeting or exceeding quota in net-new, greenfield territories
• Skilled in managing complex, multi-threaded deals with strong negotiation and closing capabilities
• Apply a creative approach to communicating value propositions across diverse audiences
• Data-literate with experience in pipeline management and forecasting
• Proficient in sales tools and CRM platforms, such as Salesforce
• Ability to travel regionally

While not required, these are a plus:

• Experience selling within the proptech, mobility, or related industries

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $180,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-KD1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking an Operational Compliance Auditor to add value and improve our operations by bringing a systematic and disciplined approach to the effectiveness of risk management, control, and governance processes. The ideal candidate possesses thorough knowledge of accounting procedures and sound judgment, as you will review control processes to ensure the reliability of information, compliance with regulations, and the safeguarding of assets. In this role, you will act as an independent partner to operations management, interacting with various levels of leadership to provide timely recommendations and navigate difficult conversations regarding findings to ensure the achievement of our operational and financial goals.

What you'll do

• Act as an objective source of independent advice to ensure validity and goal achievement
• Identify loopholes and recommend risk aversion measures and cost savings
• Maintain open communication with management
• Conduct follow up audits to monitor management’s interventions
• Engage in continuous knowledge development regarding Metropolis's parking equipment, industry rules, regulations, best practices, tools, techniques, and performance standards
• Obtain, analyze and evaluate accounting documentation, reports, data, flowcharts, etc.
• Perform location audits at Commercial and Aviation sites using a structured audit format that follows adherence to standard operating procedures
• Prepare and present reports that reflect observations and recommendations to the Operational Audit Manager, Senior Facility Managers, and Regional Managers
• Work on special assignments such as consulting services for existing or prospective clients, investigation work involving suspected control breakdowns and fraud, development of department or localized training programs, and other strategic initiatives
• Travel 25-35% of the time

What we're looking for

• Bachelor's degree in Accounting, Finance, or a related field; or equivalent experience
• Proven working experience as a Senior Operations Manager, or equivalent experience
• Proven knowledge of auditing standards and procedures, laws, rules and regulations
• Proficient in common office software, such as Microsoft 365 and Google Workspace
• Ability to manipulate large amounts of data to compile detailed reports
• High attention to detail and excellent analytical skills
• Excellent writing and communication skills
• Experience leveraging AI tools to transform static workflows into responsive, high-output processes

While not required, these are a plus:

• Prior management experience in parking, hospitality, or related industry

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $100,000.00 USD to $115,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-WT1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a strategic and dynamic Director, Business Development to join our fast-growing team. As a key individual contributor, you will own a regional territory, driving net-new business and negotiating deals. This is an exciting opportunity to play a pivotal role in expanding Metropolis's presence as we revolutionize parking and beyond with cutting-edge AI and computer vision technology. You'll leverage your relationship-building skills and network to drive growth and impact.

What you'll do

• Own the full sales cycle in your assigned regional territory (Seattle) from prospecting and relationship development to negotiation and close
• Identify and develop net new business opportunities through multiple lead generation channels including cold outreach and networking events
• Use a consultative approach to uncover pain points and translate them into customized, solution-oriented proposals
• Lead client presentations, including discovery sessions and proposal delivery
• Build upon and create new relationships across key stakeholder groups
• Work cross functionally with teams on underwriting and financial modeling
• Collaborate with cross-functional teams such as marketing, operations, and legal to align efforts to overall business goals
• Monitor and manage pipeline development and sales performance metrics in CRM to drive continuous improvement
• Stay up to date on industry trends and emerging technologies to inform business development strategies and initiatives
• Travel regionally to support clients and prospecting as needed

What we're looking for

• 8+ years in B2B business development, sales, or related roles
• Experience selling into asset managers, ownership groups, or other real estate partners
• Demonstrated ability to create new relationships and leverage existing ones to generate opportunities and accelerate deal velocity
• Strong understanding of P&L and creative deal structuring
• Proven track record of meeting or exceeding quota in net-new, greenfield territories
• Skilled in managing complex, multi-threaded deals with strong negotiation and closing capabilities
• Apply a creative approach to communicating value propositions across diverse audiences
• Data-literate with experience in pipeline management and forecasting
• Proficient in sales tools and CRM platforms, such as Salesforce
• Ability to travel regionally

While not required, these are a plus:

• Experience selling within the proptech, mobility, or related industries

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $180,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-KD1 #LI-Onsite

Who we are

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease, and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working, and playing remarkable - giving us back our most valuable asset, time.

Who you are

Metropolis is seeking a Staff Software Engineer to join our Revenue Platform team. In this role, you will own the technical direction for our billing, payments, and invoicing infrastructure, charting the course for a system that already processes tens of millions in monthly transactions. You will balance immediate business needs with long-term architectural improvements, identifying high-impact enhancements and designing practical migration strategies to support our rapid growth.

As a technical leader, you will partner closely with engineering, finance, and operations teams to solve complex challenges involving pricing rules, subscription billing, and enterprise invoicing. You are a systems thinker who enjoys understanding how things work and building the roadmaps that improve a platform while it runs. Your work will directly shape how Metropolis monetizes its platform and expands into new verticals beyond parking, ensuring our financial systems remain resilient, compliant, and remarkably efficient.

What you’ll do

• Own the technical architecture and evolution of Metropolis's billing, payments, and invoicing systems, establishing standards for financial accuracy, transaction integrity, and compliance that ensure every dollar is correctly captured and accounted for
• Design and implement resilient payment processing with support for multiple payment gateways (Stripe,  etc.), intelligent routing between processors, retry strategies for failed transactions, and graceful handling of partial failures to maximize payment success rates
• Build comprehensive monitoring and reporting for revenue operations, including payment success rates, billing accuracy metrics, reconciliation dashboards, failed transaction alerts, and audit trails that provide visibility from customer transactions to accounting close
• Partner with finance and operations teams on payment failures, billing disputes, refund workflows, and reconciliation issues – building tools and automation that reduce manual intervention and improve mean time to resolution for customer-impacting revenue issues
• Drive adoption of revenue system best practices across services, including idempotent payment processing, distributed transaction handling, compensation workflows for failures, audit logging, and testing strategies that ensure financial correctness
• Own integrations with external systems, including payment gateways, ERP, data analytics, etc., ensuring reliable data flow and maintaining compliance requirements across the revenue stack

What we’re looking for

• 8+ years of hands-on engineering experience with a focus on building revenue systems like payment platforms
• Strong systems thinking for financial correctness with proven ability to design distributed revenue systems that handle edge cases gracefully: partial failures, duplicate requests, timing issues, currency conversion, tax calculation, and maintaining transaction integrity across service boundaries
• Database and financial data expertise, including transaction isolation, audit logging, point-in-time recovery, handling financial data migrations, and experience with systems that require both high availability and absolute correctness
• Payment gateway and integration experience with production knowledge of Stripe, PayPal, or similar processors; tax calculation services; accounting system integrations; and the operational reality of depending on external financial services, including compliance requirements like PCI-DSS
• Excellent technical communication with the ability to influence technical decisions across teams (particularly finance, accounting, and data teams), document complex systems, conduct post-mortems, and establish reliability standards organization-wide
• Experience with sophisticated usage of rapidly developing AI-assisted development skills in real-world codebases, including fluent use of Claude Code/GPT Codex/Windsurf or similar tools in multi-agent mode, spec-driven development (SDD),  MCP/skills optimization, context/prompt engineering
• Local to the Seattle area

While not required, these are a plus

• BS or MS in Computer Science or a relevant engineering discipline
• Expert-level revenue systems engineering with hands-on experience building billing platforms, payment processing pipelines, reconciliation systems, and handling challenges like idempotent transactions, failed payment retries, proration logic, multi-currency support, and revenue recognition – you've seen these problems before and know the patterns that work
• Expert revenue systems engineering with hands-on experience building billing platforms, payment processing, reconciliation, and managing complex challenges like idempotent transactions, payment retries, proration, multi-currency support, and revenue recognition.
• Financial systems expertise with deep experience implementing audit trails, reconciliation workflows, revenue reporting, and compliance controls at scale – you understand what it takes to maintain penny-perfect accuracy
• Java expertise with a deep understanding of JVM performance, concurrency, and operational characteristics. Scala experience is a big plus
• Experience with AI-powered development tools such as Claude Code, GitHub Copilot, or similar agentic coding tools for enhanced productivity

  Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $220,000 USD to $250,000 USD annually. The actual base pay offered is determined by several variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base pay is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more.

About the role

Anthropic is seeking a Director, Infrastructure Capex Accounting to join our Infrastructure Accounting team. In this role, you will lead accounting for a significant portion of Anthropic's owned infrastructure — network equipment, data center buildouts, and related capital assets underpinning our recently announced $50bn investment in American computing infrastructure. As we continue our rapid growth, you will help ensure the operational scalability and financial accuracy of the core functions that enable Anthropic's research and commercial success.

This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic's growing fixed asset base is accounted for and understood across the business.

You will own end-to-end accounting and set the strategy for scaling this function, working closely with cross-functional partners across Data Center Operations, Real Estate, Finance, and Legal. You'll apply deep technical accounting expertise under ASC 360, and build the processes, controls, and systems that let this function scale. Over time, the scope of this role may expand to include supply chain accounting as Anthropic's operational footprint grows.

Responsibilities

• Lead end-to-end accounting for one of Anthropic's infrastructure portfolios — network equipment, data center buildouts, and related capital assets — including monthly close, construction-in-progress (CIP) tracking, reconciliations, roll-forwards, and flux analysis

• Apply technical accounting expertise to complex infrastructure arrangements under ASC 360 (capitalization, useful lives, impairment, disposals, and asset retirement obligations)

• Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made

• Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on

• Collaborate cross-functionally to improve the quality of upstream data pipelines from operational and contract systems, particularly around asset receipt, deployment, and in-service dates

• Design and scale systems, processes, and controls to support a rapidly growing fixed asset portfolio

• Lead and mentor a team of accounting professionals focused on your portfolio

• Serve as a key point of contact with external auditors on fixed asset and capex accounting matters

• Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting

You may be a good fit if you

• Have 12+ years of progressive experience in accounting, with operational experience at technology or infrastructure-heavy companies

• Hold a Bachelor's degree in Accounting or Finance; CPA or equivalent preferred

• Possess strong technical accounting knowledge of ASC 360, particularly as applied to infrastructure, data center, or compute-related assets

• Have experience managing a significant fixed asset portfolio in a high-growth environment

• Demonstrate strong analytical abilities and comfort working with large, complex datasets

• Have a track record of improving scalable financial processes in fast-moving environments

• Have experience leading and developing teams of accounting professionals

• Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders

• Communicate clearly and influence effectively across cross-functional partners

• Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency

Strong candidates may have:

• Experience at hyperscalers, large compute consumers, data center operators, or telecommunications companies with exposure to network and data center buildout asset structures (including fiber, routers, switches, electrical infrastructure, cooling, and cable plant)

• Experience with fixed asset subledger systems at scale

• Experience with supply chain or inventory accounting, including work-in-process and cost allocation across complex operational flows

• SQL proficiency for querying and analyzing large infrastructure and accounting datasets

• Background in Big 4 accounting or advisory services combined with industry experience

• Experience with complex data center buildouts or hybrid cloud / on-premise environments

• Knowledge of AI/ML infrastructure and associated cost structures

• Experience applying AI tooling (including Claude) to accounting processes, memo drafting, or close automation

• Proven ability to navigate ambiguity and drive results in rapidly changing environments

We are hiring for multiple positions across core domains of our platform spanning search, authorization, and end-to-end transaction management. As a Senior Software Engineer, you will use your experience with microservices based architecture to build products that deliver high business impact for our customers. You will lead design and development of services to support an industry leading consumer experience while also supporting the growth of the world’s most scalable brokerage. There is a tremendous opportunity to grow your career at Compass and positively impact how our customers interact with the Compass platform each day.

At Compass, You Will:

• Build, develop, and scale the platform that empowers real estate professionals, buyers, and sellers.
• Become a domain expert in real estate technology, serving as an empathetic partner to our customers.
• Inspire, recruit, and mentor fellow engineers.
• Architect distributed microservices architecture.
• Operate in a scalable engineering culture that leverages modern principles of decoupled systems and automated CI/CD/testing/monitoring to drive efficiencies
• Execute on standard agile development methodology
• Join a great team with high visibility and challenging projects on the horizon to help grow your career

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 languages such as Java, Go, or Python
• Experience with gRPC, Thrift, and other server-to-server communication protocols. 
• Experience with Kafka and event-driven systems
• 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
• Experience with Scrum/Agile development methodologies
• Strong critical thinking skills, great communication skills and passion for delivering an operational excellence

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.