About the Role

We’re looking for a detail-oriented, creatively-driven Senior Brand Designer to support the execution and evolution of Flexport’s visual identity across multiple touch points. We want someone who is a systems thinker and is skilled at creating scalable design solutions and thinking holistically about the brand ecosystem. This role blends hands-on design work with project and vendor management, ensuring consistency, quality, and speed across a wide variety of brand expressions—from our website and marketing campaigns to sales decks and internal presentations.

You’ll partner closely with marketing, product, and executive teams to produce thoughtful, on-brand creative that elevates our message and moves our business forward.

You Will

• Production & Event Design: Translate creative strategy into a cohesive brand experience across digital platforms and physical spaces—ranging from large-scale event signage and spatial wayfinding to premium swag and print collateral.
• Website Design: Design and maintain brand-forward web experiences in close partnership with web developers and digital marketers.
• Presentation & Deck Design: Build and refine executive presentations, sales materials, and keynote visuals that are both beautiful and effective.
• Illustration & Graphics: Create and manage a library of custom illustrations, icons, and infographics to support Flexport’s storytelling.
• Photo Editing & Management: Curate and edit photography for use across marketing channels; maintain our image library to ensure easy access and brand alignment.
• Vendor Management: Oversee external design vendors and contractors, ensuring they deliver high-quality work on time and on brand.

You Should Have

• 5-7 years of experience in brand design, visual communication, or similar creative role—ideally at a fast-paced tech or B2B company.
• A strong portfolio showcasing a range of production and digital design work, with a keen eye for layout, typography, and visual hierarchy.
• Expertise in Adobe Creative Suite, Figma, Canva, and presentation tools like Google Slides.
• Well-versed in leveraging AI to enhance the creative process.
• Experience working within and evolving brand guidelines.
• Strong project management and communication skills; able to manage multiple workstreams and stakeholders simultaneously.
• Experience managing creative vendors or freelancers is a plus.
• Familiarity with web development or CMS platforms [Contentful].

This is a temporary contract position.

#LI-onsite

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 Role

At Opendoor, AI isn't a side project - it's how we work. Across the company, teams default to AI to solve problems, ship faster, and remove friction from everything we do. The AI Operations team sits at the intersection of data, AI engineering, and operational systems. 

You will help define the future of how we work across our Operations by building AI powered workflows, automation, and experiences that drive leverage across Operations. This is high agency work in high ambiguity - turning messy problems into clean solutions, prototyping fast, and shipping.

You'll design systems and influence tooling decisions that affect how our operations scale – so we need people who think critically about what they build, why, the impact it will have on our operations and how to measure success. 

We're looking for AI-native builders to join our team, blending Operational expertise and systems thinking to drive leverage across our teams. If you default to AI in how you approach work, you’ll fit right in. 

Why Join Us

• Opportunity to shape AI Operations from the ground up
• Work on cutting-edge systems directly impacting our Customers and Operations 
• Collaborate with talented engineers, data scientists, product teams, and operational teams 

What You'll Do

• Turn ambiguous business problems into clear system designs, experiments, and implementation plans
• Identify and implement opportunities to improve our operational reliability, efficiency, and cost
• Prototype and ship rapid experiments that test improvements to workflows
• Evaluate build-vs-integrate decisions for AI tools and automation, with a bias toward scalable, maintainable solutions over one-off demos
• Build and maintain AI-powered automation, internal tools to improve how we work
• Assess and pressure-test system architectures — your own and others' — for scaling limitations, failure modes, and operational sustainability
• Maintain clean, trustworthy data through thoughtful schemas, audits, and dashboards that improve visibility and decision making
• Implement monitoring and alerting for model performance, latency, and drift detection
• Troubleshoot production issues and conduct root cause analysis

• Partner with data scientists and R&D to operationalize models
• Develop runbooks, documentation, and best practices for AI Operations

What We're Looking For

AI Alchemy: You have high agency and a tinkering mindset. You default to experimenting, running variations with new tools and methods - LLMs, automation platforms, coding assistants until you can transmute data into high quality results. You're comfortable writing SQL, working with APIs, and stitching tools together to ship solutions fast.

Systems Thinking: You understand how data flows, business and systems objectives, how decisions get made, and how changes in one part of an operation ripple across others. You evaluate global vs. local trade-offs and can explain why a solution that works today might break at scale - before someone has to ask.

System Design: You take complex, messy problems and reduce them to simple, durable architecture. You know when to build custom vs. integrate existing tools, and you proactively identify scaling limitations before they become technical debt.

Communication: Articulate problems clearly to both technical and non-technical audiences. You write clean documentation, build dashboards that tell a story, and can walk a stakeholder through your design rationale.

Impact Driven: You optimize for impact over novelty, choosing the right tools for the job rather than chasing trends with a long range horizon, observability to ensure performance, scalability and resiliency 

Additionally:

• Familiarity with LLM deployment, context engineering and comfortable writing SQL 
• Understanding of machine learning lifecycle concepts: training, evaluation, deployment, monitoring
• 5+ years of experience in operations and data experience 

Tools and Technologies

You'll work across a range of tools and we expect this list to evolve. Current stack includes:

• AI coding assistants: Claude Code, Cursor, or similar 
• Rapid prototyping tools: Lovable, Replit, Figma
• Workflow automation: Gumloop, Zapier, or similar platforms
• Experience with MCP integrations is a plus
• Experience with data platforms (Snowflake, Databricks) is a plus
• Background in agentic AI frameworks or building automation flows is a plus

Bonus Domain Expertise

You don't need deep expertise in all of these, but experience in one or more is a strong signal

• Pricing and valuation
• Sales,support, partnerships 
• Home operations 
• Homes support 

Work Arrangement

This is an onsite position.

Job Overview

This role is responsible for overseeing the end-to-end lifecycle of Contract Data Requirements List (CDRL) deliverables, ensuring all program data is accurately formatted, tracked, and submitted according to government or customer specifications. You will bridge the gap between internal functional teams and the customer to ensure 100% on-time delivery compliance.

Essential Functions

• Develop and maintain CDRL/SDRL management standards, policies, and procedures across the business unit.
• Manage the scheduling, preparation, and timely electronic submission of all CDRLs and SDRLs across multiple active programs.
• Review technical documents for correct formatting, markings, and distribution statements in strict accordance with Data Item Descriptions (DIDs) and contract requirements.
• Maintain integrated master schedules for data submissions and provide status reports to program leadership regarding upcoming milestones and potential delinquencies.
• Correspond directly with Government customers to communicate requirements, schedules, and feedback.
• Coordinate with engineering, finance, and project management to collect inputs and ensure technical content meets contractual obligations.
• Review all outgoing documents to ensure they contain correct Distribution Statements, Export Control markings, security markings and proprietary data legends as required by DFARS and the contract.
• Oversee the release of all outgoing submissions and incoming customer responses/approvals to maintain a complete audit trail.
• Coordinate and flow down data requirements to subcontractors, ensuring their inputs are integrated into the prime contractor's submission schedules.
• Perform other duties as required.

Standard Essential Functions

• Regular and reliable attendance on a full time basis [or in accordance with posted schedule].
• Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices.
• Embodies AEVEX’s cultural values and aligns daily actions with department goals and company culture.

Qualifications and Competencies

• Exceptional proficiency in Microsoft Office (specifically Word styles and Excel tracking) and Adobe Acrobat; high attention to detail for proofreading and formatting
• Strong knowledge of MIL-STD-963 and the DD Form 1423 process, including familiarity with intellectual property and data rights clauses
• Mastery of document control workflows and file management; this role requires a high degree of organizational discipline to manage dozens of concurrent deadlines.
• Familiarity with Document Management Systems (SolidWorks PDM, Subversion, etc.) preferred.
• Familiarity with Jira, SharePoint and other collaboration tools strongly preferred.

Education / Certifications

• Bachelor’s degree in Data Management, Project Management or related field

Experience

• 3+ years in a Contract Data Management (CDM), Project Management or Configuration Management role within a government contracting environment.
• Project management experience preferred.

Physical Requirements

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties the employee is:

Frequently required to sit, and to reach to use computers and other office equipment

Security Clearance

• Ability to obtain/maintain a TS/SCI DoD clearance, U.S. Citizenship required.

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

We’re looking for a Product Designer, AI to be the connective tissue between Product Design and Engineering. This role sits at the intersection of AI, UX, front‑end implementation, and systems thinking: you turn Figma into robust, reusable code, shape our design system in production, and lay the technical foundations that allow the Design organization to scale.

You’ll build interactive, high‑fidelity prototypes and production‑ready UI components, using AI‑assisted tools to accelerate exploration, prototyping, and iteration. You’ll partner closely with product designers, engineers, and product managers to bring ideas to life quickly, test them with users, and translate strong design intent into scalable implementation and a reliable design‑to‑code pipeline.

This role is onsite based at Shift4's location in Tampa, FL.

Responsibilities

Bridge design and engineering

• Translate design specs, components, and interaction patterns into high‑quality front‑end implementations that can be adopted by engineering teams.
• Work closely with designers to refine interaction details, states, and edge cases, then express them as code, stories, and clear usage guidelines.
• Collaborate with engineers to ensure prototypes align with technical constraints and can transition smoothly toward production.

Prototyping and AI‑assisted workflows

• Build high‑fidelity, interactive prototypes using a mix of design tools, AI prototyping tools (e.g., Claude‑style assistants, Replit, Figma AI), and code.
• Use AI‑assisted tools to rapidly explore ideas, generate UI logic, scaffold components, and iterate faster while maintaining implementation quality and consistency.
• Support UX research by preparing realistic prototypes for testing and iterating quickly based on user feedback and data.

Design System in Code

• Build and maintain the coded design system (components, tokens, utilities) in partnership with design system owners and front‑end leads.
• Ensure a tight mapping between Figma and code so components, variants, and tokens in Figma have clear, predictable equivalents in React/Vue and CSS/Tailwind.
• Establish standards for accessibility, performance, and theming within the component library, and ensure these standards are upheld across teams.

Foundations, tools, and workflows

• Set up and evolve tools, workflows, and repository structures that designers rely on for design‑to‑code (e.g., Storybook, design system sites, sandboxes, playgrounds).
• Define foundational conventions (naming, file structure, contribution guidelines, review processes) that make it easy for designers and engineers to extend the system.
• Partner with platform and DevEx teams to integrate design system components into product repos and CI/CD workflows.

Collaboration and enablement

• Pair with designers to upskill them on implementation realities and with engineers to deepen their understanding of design intent and UX quality.
• Support the adoption of AI prototyping tools and AI‑driven workflows within the design team, helping designers build confidence and fluency with new technologies.
• Create documentation, examples, and “how‑to” guides that help product teams use and extend the design system correctly.

Qualifications

• 8+ years of experience in product design engineering, UX engineering, design technology, UI engineering, or a similar hybrid role with strong knowledge
  of AI tools to accelerate design and development workflows, and interest in shaping how they’re used in design‑to‑code.
• Strong understanding of product design principles, UX patterns, and interaction design, with examples of complex product workflows.
• Strong proficiency in modern front‑end technologies: HTML, CSS, JavaScript/TypeScript, and a component framework such as React.
• Demonstrated experience implementing and maintaining a component library or design system in production.
• Comfortable working in Figma (or equivalent) and mapping design structures (components, variants, tokens) to code architectures.
• Experience building prototypes that go beyond click‑throughs (real data, logic, interactions, and edge cases).
• Experience collaborating closely with product designers, engineers, and product managers to ship user‑facing features in cross‑functional, Agile teams.
• Strong communication skills in English both written and verbal an with the ability to explain both design and technical decisions clearly to diverse stakeholders.
• Experience with design systems and component libraries, including contribution and governance.
•  

Nice‑to‑have

• Experience in a SaaS or payments/fintech environment with complex, data‑heavy interfaces.
• Familiarity with mobile platforms (Android; Kotlin a plus).
• Experience with documentation tools (Storybook, MDX, internal component galleries) and design system governance.
• Comfort with basic backend concepts and APIs sufficient to wire up realistic data into prototypes and component examples.
• Experience exploring and prototyping new interaction models, including AI‑assisted user flows, automated tasks, agent‑based experiences, voice interactions, or hardware‑connected interfaces.

#LI-BN1

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

MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world.

We're growing fast and hiring the talent to match.

The Integration Developer plays a critical role in our post-sales team by collaborating closely with Integration Consultants to design, develop, and implement customized integration solutions that address our clients' unique integration needs. This position requires a deep understanding of integration technologies, excellent teamwork, and technical expertise to ensure the successful delivery of integration projects.

What you’ll do:

• Work in partnership with Integration Consultants to understand client integration requirements and business processes.
• Collaboratively design, develop, and implement integration solutions that align with client objectives.
• Provide technical guidance and support to Integration Consultants and clients.
• Apply technical skills to provide expert integration advice on how to best utilize our Open REST APIs.
• Design and develop customized integration solutions, leveraging relevant APIs, connectors, and data transformation techniques.
• Work with the MaintainX Engineering and Product Team to prioritize and discuss customer integration requirements.
• Knowledge of Tech Stack components: TypeScript / NodeJS / React / ReactNative / and MySQL.
• Ensure the reliability, security, and performance of integration solutions through rigorous testing and quality assurance.
• Create and maintain detailed technical documentation, including technical specifications, code documentation, and progress reports.
• Communicate project status and technical details to both internal teams and clients.
• Assist in debugging and troubleshooting technical issues that may arise during the integration process.
• Provide ongoing technical support to clients, ensuring their integration projects run smoothly.
• Work in close coordination with cross-functional teams, including Integration Consultants, project management, and other relevant stakeholders, to ensure seamless project delivery.
• Participate in project planning, scoping, and timeline management.

About you:

• 3+ years experience in software development. This may include, but is not limited to, prior roles in solutions architecture, software engineering, or software development.
• Bachelor’s Degree in Computer Science, Management Information Systems, Engineering, or related field.
• An ability to understand how to organize and consolidate customers’ data in various formats and from various source applications. 
• Proficiency in programming languages (JavaScript), APIs, middleware platforms, and data transformation.
• Ability to translate business requirements into technical solutions.
• Detail and process-oriented, with the ability to manage projects spanning external and internal stakeholders.
• Strong problem-solving and debugging skills.
• Critical thinking mindset and scrappy enough to think on your feet for customers.
• Excellent written and verbal communication skills.
• Ability to adapt to evolving project requirements and effectively work in a team.

Bonus if you have:

• Experience with ERPs such as SAP, Oracle, JD Edwards, NetSuite, Microsoft Dynamics AX, Sage Intaact ,and other 3rd party integrations.
• Experience in the manufacturing industry.
• Knowledge of IoT Sensors, Historians, SCADA, PLCs and Industry 4.0 Technologies.
• Familiar with Integration Tools such as Workato, Tray.io, and/or Zapier. 

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrollment program.
• Take what you need PTO.
• A Work Culture where:
• You’ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist.
• We believe in meritocracy, where ideas and effort are publicly celebrated.

About us:

Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That’s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

We are seeking a Staff Software Engineer to join the KSAT Architecture Team — the engineering powerhouse behind our core product. This is a full-stack role requiring mastery of a Ruby on Rails backend, modern front-end technologies (Vue 3+, Svelte), and complex AWS infrastructure. As a Staff Engineer, you are a technical leader in day-to-day operations. This is not a people-management role; instead, you will drive direction through architectural ownership, high-impact code contributions, and cross-team influence. You will navigate a platform ecosystem & microservices, many of which are deployed across 6 AWS regions, ensuring we meet rigorous FedRAMP Moderate, SOC 2, and ISO 27001 standards.This individual in this role is responsible for developing new and exciting products for KnowBe4’s customers, alongside other engineers in a fast-paced, agile development environment.

Requirements:

• Architectural Leadership: Own the evolution of major subsystems, including GraphQL APIs, event-driven service communication (EventBridge/SQS), and data scaling.
• Full-Stack Development: Deliver primary technical contributions across Ruby/Rails APIs, SvelteKit/TypeScript frontends, and AWS serverless infrastructure.
• Scaling Operations: Optimize our serverless background processing framework, currently supporting 400+ Lambda-backed workers.
• Data Strategy: Architect multi-tenant patterns across MySQL, PostgreSQL, DynamoDB, and Redis while maintaining strict tenant isolation and compliance.
• Cross-Functional Coordination: Translate strategic goals into technical roadmaps, collaborating with Product, Security, and Infrastructure teams.
• Mentorship: Set the bar for code quality and architectural patterns through rigorous reviews and technical guidance for senior engineers.

Qualifications:

• BS + 10 years of experience OR
• MS + 5 years of experience OR
• Ph.D. + 4 years of experience
• Backend & Systems: 5+ years of scaling production Ruby on Rails apps. Expertise in GraphQL (batch loading, complexity management) and relational database tuning (MySQL/Postgres) for high-traffic multi-tenant systems.
• Frontend Mastery: Proficiency in modern frameworks (Vue Preferred, Sveltekit or React) and strict TypeScript. Proven ability to lead large-scale frontend migrations using Vite and Tailwind CSS.
• Cloud: Deep experience with AWS (ECS/Fargate, Lambda, EventBridge, S3). Strong proficiency with Terraform for Infrastructure-as-Code and GitLab CI/CD.
• Distributed Systems: Experience designing event-driven architectures and managing asynchronous processing at scale.
• Leadership: Demonstrated experience at the Staff level—writing Architecture Decision Records (ADRs) and building for compliance-regulated environments (FedRAMP/SOC 2).

OVERVIEW

Streamline Defense is hiring a Senior Exploitation Specialist / Data Scientist to support the NGA mission at USSOUTHCOM. This role sits at the intersection of intelligence analysis and applied data science, turning large, complex datasets into operationally relevant insights for command planning and execution.

RESPONSIBILITIES

• Provide analysis and data science support across NGA intelligence missions
• Operate independently at a senior level within an SCI environment
• Build processes and pipelines around large datasets to surface analytic discoveries
• Develop visualizations that integrate cleanly into daily operations
• Operationalize analytic output by framing it to drive operational planning

REQUIREMENTS

• Active TS/SCI security clearance
• 10+ years of relevant experience. A combination of education, professional certifications, and training may be substituted in lieu of years of experience.
• Background providing analysis and/or data science in support of an intelligence mission
• Senior-level proficiency in Python scripting
• Proven ability to design processes around large datasets to identify analytic discoveries
• Working understanding of Transnational Criminal Organizations (TCOs) operating in the USSOUTHCOM AOR
• Familiarity with coca cultivation and production geography
• Working knowledge of ICD 203 (Analytic Standards) and ICD 206 (Sourcing Requirements)

Work Arrangement

Onsite with occasional travel.

Job Overview

AEVEX Aerospace is seeking a Senior Program Manager to manage the development and assembly of aircraft with enhanced special mission capabilities to support unique DoD and commercial customers requirements. They will provide expert leadership and direction across complex unmanned systems programs, with a particular focus on operations that utilize additive manufactured components. This role requires deep knowledge of operational execution, engineering, system test, maintenance, and technical management practices, combined with the ability to lead multidisciplinary teams in a fast-paced environment. This person will oversee all aspects of a project, from planning and design to execution and delivery.

Essential Functions

• Provide senior-level expertise across operations, engineering, maintenance, system test, and technical management disciplines in support of assigned unmanned systems programs.
• Lead programs that incorporate additive manufactured components, ensuring integration of AM technologies into design, qualification, production, and sustainment processes.
• Work directly with customers to define requirements, develop executable work plans, and ensure timely, quality delivery of program objectives.
• Ensure all programs are executed with the highest standards of safety, compliance, and technical rigor, including adherence to AM quality controls, configuration management, and flightworthiness requirements.
• Maintain a high-performing team that embodies AEVEX values, professional standards, and a culture of accountability, innovation, and collaboration.
• Provide clear communication of expectations and develop forward-leaning strategies that enhance organizational capability, particularly in AM-enabled rapid prototyping, low-rate production, and accelerated fielding of unmanned platforms.
• Advise senior executives on operational readiness, training, staffing, and workforce planning, including specialized roles supporting additive manufacturing and unmanned systems integration.
• Build and sustain strong relationships with peers, subordinates, and customers; influence strategic and operational planning with expert technical and programmatic guidance.
• Demonstrate agility and adaptability in managing emerging requirements, resolving challenges, and maintaining alignment with organizational priorities.
• Drive alignment and achievement of strategic objectives and performance goals across programs, business units, and support teams.
• Manage all aspects of assigned programs, including cost, schedule, performance, and risk, with an emphasis on disciplined execution and continuous improvement.
• Employ industry best practices and tools to ensure programs meet or exceed financial, technical, and operational performance targets.
• Collaborate with the Director of Programs and Growth Team to identify future opportunities, support capture activities, develop program strategies, and expand AM and unmanned systems capabilities for new and existing customers.
• Develop and implement processes to identify, assess, monitor, and mitigate risks throughout the program life cycle, including technical risk associated with AM-produced components and rapid flight systems.
• Support proposal development as a subject matter expert, providing technical solutions, program structures, and cost inputs; may lead a team of SMEs in developing technical volumes.
• Represent AEVEX professionally and effectively in all internal and external engagements, fostering trust and long-term partnerships.
• Perform other duties as assigned.
• Regular and reliable attendance on a full time basis [or in accordance with posted schedule].
• Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices.
• Embodies AEVEX’s cultural values and aligns daily actions with department goals and company culture.

Qualifications and Competencies

• Demonstrated expertise in the Microsoft Office suite, including advanced proficiency in Microsoft Project.
• Experience developing, maintaining, and managing Integrated Master Schedules (IMS) for complex programs.
• Excellent verbal and written communication skills, with the ability to interface effectively with customers, cross-functional teams, and technical personnel at all levels.
• Strong analytical skills with the ability to assess technical, operational, and programmatic issues and recommend sound solutions.
• Proven ability to manage multiple projects simultaneously in a fast-paced environment, including controlling scope, schedules, and deliverables to ensure program success.
• Self-starter with strong judgment; knows when to seek guidance but is highly capable of working independently with minimal oversight.
• Highly detail-oriented, organized, and committed to exceptional work quality and follow-through.
• Demonstrated experience leading and managing teams to deliver projects on schedule and within budget while maintaining high customer satisfaction.
• Experience working with subcontractors and vendors, including development of statements of work, definition of technical requirements, negotiation of terms, and management of performance.
• Demonstrated leadership skills with a strong passion for collaboration, team-building, and fostering a positive work environment.

Leadership Competencies

• Directs and provides expert knowledge in the day-to-day function of the department.
• Identifies, recruits, and retains top-notch talent.
• Champions AEVEX’s culture and empowers employees to take responsibility for their jobs and goals.
• Coaches, mentors, engage and develop the team, including overseeing new employee onboarding and providing career development planning and learning opportunities.
• Sets performance standards and encourages employee engagement and results through delegation, continuous feedback, goal setting, and performance management.
• Maintains transparent communication. Appropriately communicates organization information through department meetings, one-on-one meetings, and appropriate email, and regular interpersonal communication.
• Provides oversight and direction to the employees in accordance with AEVEX’s policies and procedures.
• Decision-Making: Exercises sound judgment under pressure; makes timely, data-driven decisions while balancing technical, operational, and business considerations.
• Influence and Communication: Communicates with clarity, confidence, and purpose; effectively engages customers, executives, and cross-functional teams to align priorities and drive outcomes.
• Team Leadership: Builds, motivates, and develops high-performing multidisciplinary teams; fosters a culture of accountability, collaboration, and continuous improvement.
• Customer Focus: Maintains strong customer relationships, anticipates customer needs, and ensures delivery of high-quality solutions that meet or exceed expectations.
• Adaptability and Agility: Responds effectively to changing priorities, emerging risks, and evolving technology, particularly in rapid-development and AM-enabled environments.
• Execution Excellence: Drives disciplined program execution, ensuring cost, schedule, and performance objectives are met; maintains a focus on safety, compliance, and operational readiness.
• Innovation Mindset: Encourages creative problem-solving and the application of new technologies such as additive manufacturing to improve capability, reduce cycle times, and strengthen competitive advantage.
• Collaboration and Influence: Works seamlessly across organizational boundaries, leveraging relationships with engineering, operations, supply chain, and leadership to solve complex challenges.
• Integrity and Accountability: Demonstrates ethical leadership, transparency, and ownership of decisions; holds self and others accountable to high professional standards.

Education / Certifications

• Bachelor’s degree in Engineering, Aerospace, Mechanical, Systems Engineering, Business, or a related technical discipline required.
• Master’s degree in Engineering, Program Management, Business Administration (MBA), or related field preferred.
• Project Management Professional (PMP), Program Management Professional (PgMP), or DAU equivalent certification strongly preferred.
• Training or certification in aerospace program management, systems engineering, or airworthiness processes (e.g., MIL-STD, AS9100, FAA / DoD frameworks) is advantageous.
• Familiarity with additive manufacturing standards or training (ASTM F42, SAE AMS-AM, or similar) is considered a plus.

Experience

• 15 or more years Program/Project Management experience.
• Preferred: Experience with additive manufacturing technologies, processes, and quality management as applied to unmanned systems, rapid prototyping, or low-rate production environments.

Physical Requirements

Frequently required to sit, and to reach to use computers and other office equipment

Note:
For the purpose of this summary, occasionally is used to represent up to 1/3 of the time given to the work day, frequently represents 1/3 to 2/3 of the time and constantly represents 2/3 or more of the time.

Security Clearance

• Has a Secret DoD clearance upon start of employment and has the ability to obtain/maintain a TS/SCI clearance, U.S. Citizenship required.

About the Role

We are seeking an exceptional Senior Data Scientist to join our centralized Data organization. In this role, you will be embedded within our consumer and seller experience groups, working closely with cross-functional partners across product, engineering, design, and leadership. You will leverage data to generate deep insights that drive product strategy and create a world-class experience for our users. You'll work with terabytes of data to understand user behavior and directly impact customer satisfaction and business growth.

What You'll Do

• Develop and implement advanced analytics to drive product strategy and enhance the consumer and seller experience.
  
  
• Conduct deep-dive statistical analyses on large datasets to uncover user behavior insights and identify key business opportunities.
  
  
• Partner with product, engineering, and operations teams to identify opportunities to improve the user journey through data-driven insights.
  
  
• Design and execute A/B tests and other experiment types, like multi-armed bandit tests, to measure the impact of product changes and optimize the user experience.
  
  
• Build scalable data pipelines and reporting dashboards to deliver insights to stakeholders.
  
  
• Present findings and strategic recommendations to executive leadership.
  
  
• Contribute to the team and company knowledge base.
  
  

What You'll Need

• Advanced proficiency in SQL for complex data manipulation and analysis.
  
  
• Strong skills in Python for data analysis and visualization.
  
  
• Deep understanding of statistics, A/B testing, and experimental design.
  
  
• Excellent communication skills with the ability to present to executive leadership.
  
  
• Strong business intuition and the ability to translate technical findings into business recommendations.
  
  
• A self-motivated individual with a desire to solve complex, open-ended problems.
  
   
  
  

Education & Experience

Bachelor's degree or higher in a quantitative field such as Statistics, Economics, Mathematics, or Computer Science.

8+ years of experience in data science, product analytics, or a similar quantitative role.

3+ years of experience in e-commerce, two-sided marketplaces, or consumer-facing products preferred.

What We Offer

• Executive-level visibility with a direct impact on core business metrics.
  
  
• Opportunity to work on high-impact analytics projects that shape product strategy.
  
  
• Hybrid work model: 4 days in office, 1 day remote flexibility.
  
  
• Collaborative culture with cross-functional team integration.
  
  
• A fast-paced, high-growth environment with significant learning opportunities
  
  

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

LI-RO

Data Scientist, Pricing

Location: Hyrbrid 4 onsite, 1 remote Seattle WA. 

Opendoor is transforming one of the largest, most complex markets in the world — residential real estate — using data at massive scale. Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how efficiently capital moves through our marketplace. The work is highly leveraged: the quality of our pricing decisions influences conversion, margins, customer trust, and the company’s financial performance.

We are looking for mid to senior level Data Scientists. In this role, you will be a core driver of how Opendoor prices real estate at scale. You’ll operate at the intersection of economics, machine learning, experimentation, and product strategy — tackling ambiguity, shaping the pricing roadmap, and building models/analyses that materially move the business. Your insights will influence how we evaluate millions of dollars of housing inventory — and directly shape outcomes for our customers, our balance sheet, and the health of our marketplace.

What You’ll Do

• Build and maintain pricing metrics, dashboards, and frameworks.
• Run experiments and causal analyses to measure impact and drive decisions.
• Develop predictive + statistical models that improve pricing accuracy.
• Partner closely with Product, Engineering, and Operations teams to influence roadmap and model deployment.
• Deliver insights and narratives that inform executive strategy.

Skills & Qualifications

• Deep statistical reasoning: hypothesis design, experimental design, causal inference, and ability to distinguish signal vs noise.
• Proven end-to-end ML ownership: data acquisition, feature engineering, model development, validation, deployment, and ongoing monitoring.
• Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g., Spark, Airflow, Ray, SageMaker, Vertex, etc.).
• Demonstrated ability to translate complex analytical findings into clear business recommendations and influence cross-functional decision-making.
• Experience working with ill-defined problems and driving clarity on problem definition, success metrics, and realistic tradeoffs.
• High data-quality bar: disciplined approach to validation, bias analysis, and making decisions rooted in evidence vs intuition.
• Effective communicator — able to tell the story behind the model to both highly technical and non-technical audiences.
• 8+ years of experience in data science, product analytics, or a similar quantitative role.

Base salary range for this role varies. Generally, the base salary range is $186,000 – $256,000 annually + RSUs + ESPP + additional employee benefits (medical/dental/vision, life insurance, unlimited PTO, 401K).

#LI-RO

#

#LI-KC1

Data Scientist, Pricing

Location: In office 4 days a week; Ontario, Canada.

Opendoor is transforming one of the largest, most complex markets in the world — residential real estate — using data at massive scale. Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how efficiently capital moves through our marketplace. The work is highly leveraged: the quality of our pricing decisions influences conversion, margins, customer trust, and the company’s financial performance.

We are looking for mid to senior level Data Scientists. In this role, you will be a core driver of how Opendoor prices real estate at scale. You’ll operate at the intersection of economics, machine learning, experimentation, and product strategy — tackling ambiguity, shaping the pricing roadmap, and building models/analyses that materially move the business. Your insights will influence how we evaluate millions of dollars of housing inventory — and directly shape outcomes for our customers, our balance sheet, and the health of our marketplace.

What You’ll Do

• Build and maintain pricing metrics, dashboards, and frameworks.
• Run experiments and causal analyses to measure impact and drive decisions.
• Develop predictive + statistical models that improve pricing accuracy.
• Partner closely with Product, Engineering, and Operations teams to influence roadmap and model deployment.
• Deliver insights and narratives that inform executive strategy.

Skills & Qualifications

• Deep statistical reasoning: hypothesis design, experimental design, causal inference, and ability to distinguish signal vs noise.
• Proven end-to-end ML ownership: data acquisition, feature engineering, model development, validation, deployment, and ongoing monitoring.
• Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g., Spark, Airflow, Ray, SageMaker, Vertex, etc.).
• Demonstrated ability to translate complex analytical findings into clear business recommendations and influence cross-functional decision-making.
• Experience working with ill-defined problems and driving clarity on problem definition, success metrics, and realistic tradeoffs.
• High data-quality bar: disciplined approach to validation, bias analysis, and making decisions rooted in evidence vs intuition.
• Effective communicator — able to tell the story behind the model to both highly technical and non-technical audiences.
• 8+ years of experience in data science, product analytics, or a similar quantitative role.

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

#LI-RO

#LI-KC1

Product Marketing Lead
Growth Marketing

Location: Miami, Toronto

About Opendoor

Opendoor’s mission is to tilt the world in favor of homeowners and those working hard to become homeowners, by making homeownership simpler, faster, and fairer for everyone. Since 2014, Opendoor has provided people across the U.S. with a simple and certain way to buy and sell a home. We believe buying or selling a home should be simple, certain, and transparent — and we’re rebuilding the experience from the ground up. Our brand and product are two sides of the same promise: giving people confidence and control in one of life’s biggest moments.

The Role

Opendoor is seeking a strategic, data-driven Product Marketing professional to own go-to-market strategy, positioning, and competitive intelligence for our real estate technology products and consumer experiences. You’ll be the source of truth for all PMM assets, partnering closely with Product, Brand, Sales and Customer Success to drive revenue, adoption, and market leadership. You’ll lead an AI-assisted approach to market and competitive insights, translating them into actionable messaging, enablement, and launch plans that align with Opendoor’s mission: power life’s progress, one move at a time.

What you’ll do

• Go-To-Market Strategy and Execution

  • Own end-to-end GTM planning for new products and major releases (e.g., app improvements, mortgage/financing features, valuation tools, title/escrow enhancements), including objectives, ICPs, positioning, pricing/packaging, launch sequencing, channels, and success metrics.

  • Develop scalable launch playbooks, asset requirements, timelines, risk management, and post-launch optimization.

  • Ensure GTM plans are aligned with Opendoor’s objectives and coordinated across Product, Growth, Sales, and CS.

• Positioning, Messaging, and Value Propositions

  • Define differentiated positioning and compelling messaging that resonates with homeowners, buyers, sellers, and investors, delivering clear business outcomes.

  • Create core content (value propositions, messaging frameworks, one-pagers, battle cards) and enablement assets for sales, partners, and the broader go-to-market ecosystem.

  • Maintain a consistent brand voice and market-facing narratives across channels and regions.

• Competitive Intelligence (AI-Assisted)

  • Build and lead an AI-assisted competitive intelligence program that continuously monitors proptech and consumer marketplace landscapes.

  • Deliver regular analyses, feature comparisons, pricing benchmarks, and market signals; translate into actionable guidance for Product, Sales, and Marketing.

  • Create and maintain battle cards, win/loss analyses, and intelligence briefings; validate AI-driven insights with human judgment.

• Product Marketing as Source of Truth

  • Maintain the single source of truth for PMM assets: positioning matrices, personas, messaging frameworks, playbooks, and enablement content.

  • Govern PMM assets with version control, clear ownership, and up-to-date documentation in wikis, dashboards, and content repositories.

  • Establish PMM standards and processes to ensure scalable, repeatable execution at Opendoor’s scale.

• Cross-Functional Collaboration

  • Partner with Product Management to translate roadmaps and customer needs into compelling market offerings.

  • Collaborate with Sales to drive pipeline: enablement training, tools, and assets to improve win rates and shorten sales cycles.

  • Work with Growth and Demand Gen to map campaigns to GTM plans, measure impact, and optimize funnel performance.

  • Coordinate with Analytics to define and track success metrics (pipeline influence, win rate, time-to-revenue, feature adoption).

• Enablement, Messaging, and Content

  • Develop ongoing enablement programs, training sessions, and updates to keep front-line teams informed and effective.

  • Produce and curate content assets (launch briefs, case studies, white papers, product briefs, FAQs) aligned to buyer journeys.

• Market Insights and Voice of the Customer

  • Lead market research to identify trends, unmet needs, and growth opportunities in the real estate tech and consumer marketplace space.

  • Capture customer insights and success stories to refine positioning and messaging; feed insights into product prioritization and roadmap where appropriate.

• Budget, Leadership, and Process Improvement

  • Own the PMM budget; manage vendors, contractors, and internal resources.

  • Mentor and develop PMM team members; drive process improvements to shorten cycles and increase impact.

What success looks like

• Clear, differentiated GTM plans that drive revenue and align with product roadmaps.

• Consistent, compelling messaging and collateral that improve win rates and accelerate time-to-revenue.

• A credible, AI-augmented competitive intelligence program that informs product and marketing decisions.

• A trusted source of truth for all PMM assets, with measurable improvements in pipeline influence, win rate, and product adoption.

• Scalable playbooks and enablement that enable fast, cross-functional execution as Opendoor grows.

Qualifications

• 8+ years of product marketing or related experience in B2B technology, SaaS, or relevant real estate tech domains; people leadership experience preferred.

• Proven track record launching successful GTM programs and driving revenue growth through strong positioning and cross-functional collaboration.

• Demonstrated ability to build and maintain a robust competitive intelligence program, including AI-assisted research methods and tools.

• Exceptional written and verbal communication; ability to translate complex product features into clear customer value propositions.

• Strong cross-functional influencing skills; comfortable operating in a fast-paced, ambiguous environment.

• Data-driven mindset; experience with CRM/Marketing Automation (e.g., Salesforce, HubSpot), analytics (Looker, Tableau), and AI-enabled research tools.

• Experience creating scalable playbooks, enablement content, and governance around PMM assets.

• Preferred: experience in consumer marketplaces, proptech, or real estate tech with complex product ecosystems.

• Experience with AI-enabled content generation and governance/compliance considerations.

• Familiarity with multi-region go-to-market programs across verticals.

• Knowledge of pricing strategy and packaging in consumer-facing or enterprise contexts.

Product Marketing Lead
Growth Marketing

Location: Miami, Toronto

About Opendoor

Opendoor’s mission is to tilt the world in favor of homeowners and those working hard to become homeowners, by making homeownership simpler, faster, and fairer for everyone. Since 2014, Opendoor has provided people across the U.S. with a simple and certain way to buy and sell a home. We believe buying or selling a home should be simple, certain, and transparent — and we’re rebuilding the experience from the ground up. Our brand and product are two sides of the same promise: giving people confidence and control in one of life’s biggest moments.

The Role

Opendoor is seeking a strategic, data-driven Product Marketing professional to own go-to-market strategy, positioning, and competitive intelligence for our real estate technology products and consumer experiences. You’ll be the source of truth for all PMM assets, partnering closely with Product, Brand, Sales and Customer Success to drive revenue, adoption, and market leadership. You’ll lead an AI-assisted approach to market and competitive insights, translating them into actionable messaging, enablement, and launch plans that align with Opendoor’s mission: power life’s progress, one move at a time.

What you’ll do

• Go-To-Market Strategy and Execution

  • Own end-to-end GTM planning for new products and major releases (e.g., app improvements, mortgage/financing features, valuation tools, title/escrow enhancements), including objectives, ICPs, positioning, pricing/packaging, launch sequencing, channels, and success metrics.

  • Develop scalable launch playbooks, asset requirements, timelines, risk management, and post-launch optimization.

  • Ensure GTM plans are aligned with Opendoor’s objectives and coordinated across Product, Growth, Sales, and CS.

• Positioning, Messaging, and Value Propositions

  • Define differentiated positioning and compelling messaging that resonates with homeowners, buyers, sellers, and investors, delivering clear business outcomes.

  • Create core content (value propositions, messaging frameworks, one-pagers, battle cards) and enablement assets for sales, partners, and the broader go-to-market ecosystem.

  • Maintain a consistent brand voice and market-facing narratives across channels and regions.

• Competitive Intelligence (AI-Assisted)

  • Build and lead an AI-assisted competitive intelligence program that continuously monitors proptech and consumer marketplace landscapes.

  • Deliver regular analyses, feature comparisons, pricing benchmarks, and market signals; translate into actionable guidance for Product, Sales, and Marketing.

  • Create and maintain battle cards, win/loss analyses, and intelligence briefings; validate AI-driven insights with human judgment.

• Product Marketing as Source of Truth

  • Maintain the single source of truth for PMM assets: positioning matrices, personas, messaging frameworks, playbooks, and enablement content.

  • Govern PMM assets with version control, clear ownership, and up-to-date documentation in wikis, dashboards, and content repositories.

  • Establish PMM standards and processes to ensure scalable, repeatable execution at Opendoor’s scale.

• Cross-Functional Collaboration

  • Partner with Product Management to translate roadmaps and customer needs into compelling market offerings.

  • Collaborate with Sales to drive pipeline: enablement training, tools, and assets to improve win rates and shorten sales cycles.

  • Work with Growth and Demand Gen to map campaigns to GTM plans, measure impact, and optimize funnel performance.

  • Coordinate with Analytics to define and track success metrics (pipeline influence, win rate, time-to-revenue, feature adoption).

• Enablement, Messaging, and Content

  • Develop ongoing enablement programs, training sessions, and updates to keep front-line teams informed and effective.

  • Produce and curate content assets (launch briefs, case studies, white papers, product briefs, FAQs) aligned to buyer journeys.

• Market Insights and Voice of the Customer

  • Lead market research to identify trends, unmet needs, and growth opportunities in the real estate tech and consumer marketplace space.

  • Capture customer insights and success stories to refine positioning and messaging; feed insights into product prioritization and roadmap where appropriate.

• Budget, Leadership, and Process Improvement

  • Own the PMM budget; manage vendors, contractors, and internal resources.

  • Mentor and develop PMM team members; drive process improvements to shorten cycles and increase impact.

What success looks like

• Clear, differentiated GTM plans that drive revenue and align with product roadmaps.

• Consistent, compelling messaging and collateral that improve win rates and accelerate time-to-revenue.

• A credible, AI-augmented competitive intelligence program that informs product and marketing decisions.

• A trusted source of truth for all PMM assets, with measurable improvements in pipeline influence, win rate, and product adoption.

• Scalable playbooks and enablement that enable fast, cross-functional execution as Opendoor grows.

Qualifications

• 8+ years of product marketing or related experience in B2B technology, SaaS, or relevant real estate tech domains; people leadership experience preferred.

• Proven track record launching successful GTM programs and driving revenue growth through strong positioning and cross-functional collaboration.

• Demonstrated ability to build and maintain a robust competitive intelligence program, including AI-assisted research methods and tools.

• Exceptional written and verbal communication; ability to translate complex product features into clear customer value propositions.

• Strong cross-functional influencing skills; comfortable operating in a fast-paced, ambiguous environment.

• Data-driven mindset; experience with CRM/Marketing Automation (e.g., Salesforce, HubSpot), analytics (Looker, Tableau), and AI-enabled research tools.

• Experience creating scalable playbooks, enablement content, and governance around PMM assets.

• Preferred: experience in consumer marketplaces, proptech, or real estate tech with complex product ecosystems.

• Experience with AI-enabled content generation and governance/compliance considerations.

• Familiarity with multi-region go-to-market programs across verticals.

• Knowledge of pricing strategy and packaging in consumer-facing or enterprise contexts.

What You’ll Be Owning:

We are seeking a senior-level Data Scientist to design, develop, and deploy advanced data-driven applications in support of mission-critical environments. The ideal candidate operates independently with minimal oversight, delivers production-grade solutions, and understands how to translate operational requirements into scalable, secure solutions.

This role blends full-stack Python development, geospatial analytics, dashboarding, DevSecOps practices, and familiarity with Intelligence Community (IC) and DoD environments.

What You Must Have:

• Active TS/SCI Clearance is required with the ability to obtain a CI Poly. 10+ years of relevant experience. (A combination of years of experience & professional certifications & education can be used in lieu of years of experience)
• Expert-level proficiency in Python and demonstrated experience building scalable, production-ready applications.
• Experience querying and integrating web APIs to retrieve, normalize, and operationalize data.
• Proficiency with at least one Python web framework (Flask, FastAPI, Django, or similar).
• Experience developing interactive data visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or comparable tools.
• Experience building dashboards and analytic interfaces using Dash, Streamlit, Panel, Tableau, or similar platforms.
• Ability to develop basic web interfaces using HTML, CSS, and JavaScript.
• Strong SQL skills and experience querying relational databases.
• Experience using Git-based version control platforms such as GitLab or GitHub.
• Familiarity with containerization technologies (e.g., Docker) and deploying containerized applications.
• Working knowledge of DevSecOps principles and secure software development practices.
• Proficiency with geospatial processing frameworks such as GDAL or ArcPy.
• Proficiency with GIS desktop software such as ArcGIS Pro or QGIS.
• Ability to write clear, concise technical documentation related to software systems and automated workflows.
• Ability to operate independently at a senior level with limited oversight.
• Familiarity with Activity Based Intelligence (ABI), All-Source, or Multi-INT analysis environments.
• Familiarity with USSOCOM and broader U.S. military organizational structures.
• Familiarity with common Intelligence Community (IC) data repositories.

#LI-GM1

What You'll Be Owning:

We are seeking a highly skilled Senior Data Scientist to support mission-critical intelligence operations. The ideal candidate brings deep analytic expertise, advanced data science capabilities, and demonstrated experience supporting national security objectives across GEOINT, multi-INT, and enterprise-level analytic environments. This position requires the ability to innovate, modernize analytical tradecraft, and drive the integration of advanced methodologies into customer mission sets.

What You Must Have: 

• Active TS/SCI Clearance is required with the ability to obtain a CI Poly 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience)
• Expertise in advanced analytic methodologies and proven ability to implement them to increase customer satisfaction and mission effectiveness.
• Proven Intelligence Community experience working with integrated teams and applying documented analytic methodologies to answer complex intelligence questions.
• Experience in data mining, database manipulation, and maintaining structured analytic datasets.
• Demonstrated proficiency using analytic tools to modernize workflows and enhance analytic rigor.
• Experience with Python/R scientific computing libraries (NumPy, Pandas, etc.)
• Experience applying machine learning or statistical modeling techniques (e.g., regression, clustering, classification, time-series analysis) to mission datasets.
• Proficiency in data preprocessing, feature engineering, and preparing structured/unstructured datasets for advanced analysis.
• Ability to evaluate model performance, conduct error analysis, and effectively communicate model results to both technical and non-technical audiences.
• Experience operationalizing analytic models into repeatable pipelines supporting intelligence production at scale.
• Understanding of modern data science best practices, including model governance, reproducibility, transparency, and lifecycle management.
• GEOINT / Multi-INT Core Tradecraft Support GEOINT analysis using imagery, spatio-temporal datasets, and multi-source intelligence to uncover relationships, trends, and mission-relevant events.
• Conduct multi-INT research to augment imagery analysis and provide mission-specific context.
• Demonstrated ability to lead technical and analytical teams in solving complex intelligence problems.
• Experience developing new geospatial tradecraft, methods, and technologies from an operations research perspective.
• Ability to identify system enhancements, capability gaps, new technologies, and business case opportunities that strengthen mission delivery.

What Would Be Nice to Have:

• Experience building and maintaining GEOINT, SIGINT, or OSINT datasets aligned to mission requirements.
• Ability to design and deliver briefings, demonstrations, and training events for users at all skill levels across mission applications.
• Experience supporting DoD and IC report production, briefings, and formal analytic publications.
• Ability to extract, model, and visualize multi-INT datasets for both descriptive and predictive analysis.
• Hands-on experience working with FADE tools (MIST, INTELBOOK, LINX, WATCH BOX) to discover and refine analytical insights.
• Proficiency with statistical and visualization tools (e.g., Tableau, MATLAB, Brewlytics, JEMA, MapLarge) for advanced statistical analysis and visualization of large datasets.
• Knowledge of Structured Observation Management tools and/or Object-Based Production methodologies.
• Experience in applying deep learning or computer vision techniques (e.g., CNNs, segmentation, object detection) to GEOINT or multi-INT datasets.
• Familiarity with distributed analytics frameworks such as Spark, Dask, or Ray. Experience building analytic dashboards or applications using frameworks.
• Experience with API-driven ingestion, ETL pipelines, or microservice-based analytic architectures.
• An understanding of Transnational Criminal Organizations (TCOs) operating within the USSOUTHCOM AOR
• An understanding of coca cultivation and production areas Familiarity with Intelligence Community Directive (ICD) 203 (Analytic Standards) and ICD 206
• An understanding of how to operationalize the analytic output—shape/frame it in a way that supports operational planning

#LI-GM1

This is an opportunity to lead the core technology that is onboarding millions to the future of finance. As part of Fireblocks, the leading platform for securing digital assets, dynamic.xyz is positioned at the intersection of enterprise security and consumer accessibility. Our combined entity is setting the new standard for best-in-class custodial and non-custodial solutions globally. Fireblocks and Dynamic provide the simplest and most secure way for companies to work with digital assets and it trusted by some of the largest financial institutions, banks, globally-recognized brands, and Web3 companies in the world, including Stripe, Circle, Zerohash,  BNY Mellon, BNP Paribas, ANZ Bank, Revolut, Magic Eden, and thousands more. 

The Director of Engineering for Platform will own the complex, highly-distributed systems required to deliver this vision at massive scale.

About The Team

Founded in 2021, Dynamic's vision is that every app and website will integrate a wallet component, viewing wallets as foundational infrastructure for use cases like payroll, remittances, and global payments.

The product centers on developer-first SDKs enabling seamless embedded wallet functionality. These wallets allow end users to create, manage, and use wallets without leaving the application.

Dynamic has onboarded over 50 million wallets. Within the joint entity, Dynamic focuses on the application-layer wallet experience and developer tooling, complementing Fireblocks’ core custody, security, and transaction infrastructure. The team emphasizes a strong product mindset, secure-by-default systems, and exceptional developer experience.

The Platform team is the core engine of dynamic.xyz's backend, building and maintaining highly reliable, scalable, and secure foundational services. This includes the mission-critical Wallet-as-a-Service (WAAS), the core Authentication Platform, and essential services like Balances, Events, and many integrations. This high-growth area directly impacts the goal of onboarding millions more people.

What You'll Do

As the Director of Engineering for Platform, you will be a visionary hands-on leader. You will:

• Strategic & Technical Leadership: Define the long-term technical roadmap, architecture, and standards for the Platform team, ensuring unparalleled scale, security, and resiliency.
• Hands-On Ownership & Technical Activity: Maintain a high level of technical engagement and remain actively hands-on, contributing to critical design reviews, setting coding standards, and demonstrating a genuine passion for writing and shipping code.
• System Scaling & Delivery: Oversee the design and implementation of highly complex distributed systems capable of handling massive transactional volume and user growth, demonstrating a great track record of delivering software at high velocity.
• Team Management & Growth: Lead, mentor, and expand a high-performing engineering organization.
• Customer & Developer Focus: Work closely with our customers, understanding their technical needs, gathering feedback, and ensuring the platform meets their requirements for integration and performance.
• Innovation & Technology: Drive the adoption of modern engineering practices, including leveraging latest AI models and technology to enhance platform efficiency, security, and feature development.

What You'll Bring

• 5+ years of engineering management experience, leading multiple teams and consistently delivering complex initiatives on schedule in time-sensitive environments.
• 10+ years of hands-on experience in backend development, architecting and operating large-scale, complex, and highly-secure distributed systems.
• Exceptional focus on Security: Experience architecting or building platforms where the design required thinking deeply about security and attack vectors (e.g., in finance, payments, crypto, or authentication).
• Deep expertise in one or more of the following sectors: Crypto/Web, Financial Services, or High-Security/Authentication Platforms.
• Demonstrated experience in scaling platforms to support millions of users and high throughput transaction volumes.
• Proven ability to attract, hire, and develop top-tier engineering talent, with a focus on growing senior and principal-level engineers.
• Strong technical foundation and the ability to influence architecture, including familiarity with modern development paradigms and cloud technologies.
• Proficiency in TypeScript and AWS infrastructure (experience with TEE big plus)

Senior Manager, Partner Growth Marketing

Location: Miami 

Reports to: VP Acquisition & Lifecycle Marketing

About the Role

Opendoor growth depends on reaching sellers - and not all of them find us directly. Many come through agent referrals. Homebuilders introduce Opendoor to customers trading up. Real estate platforms put our offer in front of homeowners who might not find us otherwise. Strategic partners touch sellers at exactly the right moment.

This role owns the demand gen programs across all of it — campaign execution, performance optimization, and channel growth for partner-based initiatives. You run the programs that make each channel produce, end to end. You'll work closely with Opendoor's partnerships, acquisition, lifecycle marketing, and product teams to coordinate across channels and ensure partner-driven channels are a meaningful contributor to Opendoor’s business.

Core Responsibilities

1. Agent Acquisition

• Own strategy, messaging, and audience targeting for agent acquisition programs — identifying high-value agent cohorts and brokerages, and building programs that bring new agents into the Opendoor ecosystem across paid social, direct mail, and email.

• Work closely with the partnerships and account management teams to align marketing programs with agent recruitment and relationship priorities.

• Support Opendoor's presence at major real estate industry events through marketing programs that drive agent awareness and engagement.

• Measure agent-attributed acquisition volume and CAC, and optimize toward efficiency as the channel matures.

2. Agent Performance & Engagement

• Track agent channel performance daily — monitor which partners and cohorts are up or down, diagnose what's driving changes, and drive programs to move the needle.

• Design and run agent incentive and promotion programs that keep top partners engaged and reinvigorate underperforming ones.

• Engage with agent partners directly to gather feedback, surface what's working on the ground, and translate that into program improvements — partnering with account teams who own the broader relationship.

• Coordinate with the partnerships team to request training, on-site activations, and other support that keeps agent partners informed and activated.

3. Partner & Platform Programs

• Own co-branded acquisition campaigns with online real estate partners and homebuilders — optimizing messaging, targeting, and placement to drive conversion from partner traffic, including campaigns targeting builder sales reps and their trade-up customers.

• Build acquisition programs through seller-adjacent partnerships — companies that reach sellers at key life moments — and activate marketing programs as the partnerships team brings new partners online.

• Work closely with product and partnerships to ensure embedded SDK integrations are backed by marketing support that drives contracts, not just placements.

• Measure partner-attributed CAC across all programs and optimize toward efficiency.

4. GTM & Channel Enablement

• Own the promotional calendar across partner channels — co-branded emails, seasonal campaigns, product launches, and joint retargeting programs that keep Opendoor top of mind.

• Build and maintain partner-facing marketing materials: messaging guides, campaign toolkits, and content that helps partners promote Opendoor effectively.

• Work closely with partnerships, account management, lifecycle, and acquisition teams on partner-specific audience strategies — shared audiences, joint retargeting pools, and sequenced nurture programs.

• Identify what's working in one channel, apply it across others, and continuously optimize the mix toward partner-attributed contracts.

Who You Are

Experience:

• 5–7+ years in demand generation or growth marketing, with experience running programs across multiple channels simultaneously

• B2B2C background — you've marketed to professionals (agents, brokers, reps) who influence or refer consumer decisions, not just end consumers directly

• Proven track record measuring CAC and optimizing channel mix across paid, email, direct mail, and partner programs

• Comfortable launching net-new programs with limited playbook — you've built channel programs from scratch, not just optimized existing ones

Technical Skills:

• Comfortable building and running campaigns directly across paid social (Meta, LinkedIn), email, and direct mail — and equally comfortable briefing and partnering with channel teams when that's the right move

• Understands both acquisition and lifecycle marketing well enough to drive programs across both

• Proficient in SQL or comfortable enough with data to pull your own performance analysis

• AI-native: you use AI tools daily to move faster — campaign analysis, copy generation, audience research, workflow automation

Mindset:

• Multi-channel thinker: you don't default to digital — you find the channel that reaches the audience, not the audience that fits your channel

• CAC-obsessed: every program has a cost and a return, and you track both

• Executor: you own programs end to end — building and running campaigns directly when it makes sense, and partnering with channel teams when that's the right move

• Comfortable engaging partners directly — you can have a productive conversation with a partner to gather feedback and drive programs, while knowing when to loop in the account team on relationship and operational questions

Bonus Points

• Experience in real estate, proptech, fintech, or other high-consideration consumer verticals

• Affiliate or referral program management experience

• Familiarity with Opendoor's partner ecosystem (agents, ORE platforms, homebuilders)

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

About the Role

You own our marketing technology stack — lifecycle infrastructure that powers email and SMS programs, and tracking systems that keep paid media attribution honest.

You'll design and maintain the systems that let a lean, AI-powered marketing team move fast and measure accurately. That means Iterable journeys and CDP audiences that run lifecycle programs on autopilot, a conversion tracking layer that stays clean across every ad platform, and automation that eliminates manual work from campaign launches to performance monitoring. You'll also drive cross-functional initiatives with Engineering, Product, and Growth Science to get critical tracking and infrastructure work prioritized. Senior IC role, no direct reports.

What You'll Do

1. Lifecycle Platform & Campaign Infrastructure

• Own Iterable end-to-end: configuration, journey architecture, lifecycle triggers, and audience management for welcome, nurture, and re-engagement programs.
• Manage our CDP (Segment Personas): define audience segments, maintain governance and naming conventions, and work with Engineering to ensure data flows to Iterable cleanly.
• Build AI-powered email and SMS template systems — modular, dynamic, and populated by AI at scale — so our lifecycle team can ship programs without relying on agencies or one-off builds.
• Train the team on platform capabilities and self-serve campaign creation so the lifecycle lead can focus on strategy, not production.

2. Conversion Tracking & Attribution

• Own Google Tag Manager and our Segment event taxonomy. Partner with Engineering on event tracking implementation, maintain event taxonomy documentation, and troubleshoot conversion data gaps across ad platforms.
• Partner with Engineering to implement and verify CAPI, enhanced conversions, and server-side tracking setups. You drive requirements, validate implementation, and own ongoing QA — Engineering builds it.
• Escalate and drive Engineering/Product prioritization when tracking infrastructure needs investment.

3. Automation, Tooling & Experimentation

• Build automated budget pacing alerts, performance anomaly detection, and campaign QA workflows (broken links, UTM validation, tracking checks) for both paid and lifecycle programs.
• Use Claude, Python, Gumloop and AI tools to build self-serve workflows that eliminate manual operational work across the team. Train team members on AI tools for content generation, analysis, and self-serve campaign creation.
• Partner with Growth Science on budget allocation analysis, channel decisions, measurement planning, and incrementality testing.

What You'll Need

Technical Skills:

• Expert in Iterable, Braze, or comparable ESP at enterprise scale (millions of sends)
• Strong HTML/CSS for responsive email templates; comfortable reading JavaScript
• Experienced with CDP platforms (Segment Personas or similar)
• Working knowledge of GTM, CAPI, enhanced conversions, and server-side tracking
• Proficient with Python scripting and no-code automation tools (Gumloop, Make, Zapier)
• Expert with AI tools (Claude, Cursor) for generating code, templates, and analysis
• Proficient in SQL for campaign analysis and troubleshooting

Experience:

• 5–7+ years in marketing operations, with primary depth in lifecycle/email platform ownership at scale
• Track record building infrastructure — not running campaigns — that measurably increases team velocity
• Proven ability to drive data infrastructure through Engineering and Product without direct authority
• Comfortable spanning acquisition and lifecycle — you understand how performance marketing and lifecycle programs interact

Mindset:

• Infrastructure builder: you design systems that eliminate entire categories of manual work
• AI-native: you use AI tools daily — for coding, content, analysis, and problem-solving
• High-agency IC: you architect solutions, prototype independently, and build them yourself

Bonus Points

• High-consideration, high-value transactional businesses (real estate, automotive, financial services)
• Amplitude or Optimizely experimentation platform experience
• Figma for prototyping templates
• Analytics engineering or data visualization (Looker, Mode, Tableau)
• Segment CDP, mobile push, or in-app messaging experience

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

About the Role

We’re looking for a seasoned Staff Infrastructure Engineer to join our engineering team and lead the design, development, and evolution of our cloud infrastructure. In this role, you’ll be at the forefront of scaling our platform, optimizing cloud operations, and driving infrastructure best practices in a modern, services-based architecture.

You’ll work closely with the product engineering, developer experience and security teams to ensure our infrastructure is robust, secure, scalable, and aligned with our product goals. If you thrive in a fast-paced environment, have deep experience in AWS and Kubernetes, and are passionate about infrastructure as code and automation, we’d love to hear from you.

What You'll Do

• Design, build, and maintain scalable, secure, and highly available infrastructure in AWS using best practices.

• Lead our efforts in Kubernetes (EKS) architecture, cluster management, and deployment strategies.

• Collaborate with application and platform engineering teams to optimize microservices deployment, CI/CD workflows, and service orchestration.

• Define and implement infrastructure as code (IaC) using tools like Terraform or AWS CDK.

• Drive observability and performance monitoring strategies using tools like Prometheus, Grafana, Datadog, or CloudWatch.

• Champion DevOps culture across the organization and mentor other engineers on cloud-native best practices. 

• Develop and maintain disaster recovery and business continuity strategies. 

• Conduct architecture reviews, performance tuning, and capacity planning.

• Stay up to date with industry trends and emerging technologies, proactively recommending improvements.
   

What You'll Need

• 8+ years of experience in infrastructure, DevOps, or site reliability engineering roles.

• Strong expertise with AWS services (EC2, ECS/EKS, IAM, VPC, RDS, S3, etc.).

• Deep hands-on experience with Kubernetes (EKS) in production environments.

• Proficient in infrastructure-as-code tools like Terraform, Pulumi, or AWS CDK.

• Experience with microservices and distributed systems architectures.

• Strong scripting and automation skills (e.g., Python, Bash, Go). 

• Proven experience with monitoring, logging, and observability systems.

• Solid understanding of networking, security, and cloud infrastructure best practices.

• Experience in a high-scale, SaaS or cloud-native environment.

• Familiarity with service meshes (e.g., Istio, Linkerd) and container runtimes.

• Knowledge of CI/CD pipelines and tools such as GitHub Actions, ArgoCD, or Jenkins.

• AWS Certifications (e.g., Solutions Architect, DevOps Engineer) are a plus.
   

Why Join Us

• Work on cutting-edge cloud infrastructure and architecture.

• Make a real impact on how we scale and ship reliable services.

• Collaborate with a team of passionate engineers in a culture of learning and growth.

• Competitive compensation, equity, and benefits package.
   

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

How You'll Make an Impact: 

As a Senior Fullstack Engineer on the Distribution Team, you'll be instrumental in developing and enhancing the products that connect Cloudbeds' ecosystem to the world's largest distribution channels. You'll architect scalable solutions using modern technologies, contribute to our microservices migration, and ensure our platform delivers exceptional performance and security for thousands of properties worldwide. Your work will directly impact how hotels reach guests through integrations with major platforms like Booking.com, AirBnb and beyond.

Our Distribution Team:

We're the bridge connecting properties to the global travel ecosystem. Our team tackles complex integration challenges that directly impact revenue for thousands of hotels worldwide, from building rock-solid connections with major OTAs to ensuring every booking flows seamlessly and securely. We balance innovation with pragmatism: migrating legacy systems to modern microservices while maintaining the reliability our customers depend on. If you thrive on solving hard technical problems with real business impact and love the challenge of both building greenfield features and refactoring legacy code, you'll feel right at home here.

What You Bring to the Team:

• Design and implement robust backend features and improvements using PHP, with a strong focus on performance optimization and scalability for our distribution platform
• Build intuitive frontend experiences using React and Vue, ensuring seamless user interactions across the Cloudbeds ecosystem
• Architect secure solutions for handling financial transactions and sensitive personal data, applying security best practices throughout the development lifecycle
• Write clean, well-tested, and well-documented code with comprehensive test coverage (unit, integration, end-to-end) to maintain high quality standards
• Lead technical discussions on complex concepts and requirements with both technical and non-technical stakeholders, driving alignment on backend and frontend architecture decisions
• Contribute to our ongoing initiative to migrate core platform components into microservices, helping shape the long-term technical vision
• Re-architect and refactor existing legacy systems to align with modern standards and project requirements, demonstrating ownership and commitment to continuous improvement
• Mentor team members through pair programming and code reviews, promoting best practices that elevate code quality and team processes
• Collaborate with cross-functional teams to plan, build, and ship high-quality features that delight our global customer base

What Sets You Up for Success:

• 5+ years of PHP web application software engineering experience
• 5+ years of experience with JS frameworks, Vue.js and React are preferred
• Solid experience with modern JavaScript/TypeScript
• Strong hands-on experience with Docker and containerized development workflows
• Demonstrated expertise in performance optimization and expert knowledge of relational databases, indexing, and searching technologies
• Strong understanding of security considerations, particularly for applications handling financial transactions and personal data
• Experience with test automation across all levels (unit, integration, end-to-end) and a passion for quality-driven development
• Proven track record of taking ownership of projects and delivering results independently
• Business-level English fluency (verbal and written) and excellent communication skills for collaborating across a globally distributed, remote-first team

Bonus Skills to Stand Out:

• Experience designing and building microservices and/or micro-frontends
• Hands-on experience with PHP frameworks (CodeIgniter, CakePHP, Laravel, Symfony)
• Cloud and infrastructure experience with Kubernetes, AWS, Terraform, and Argo CD
• Experience working with event-driven architectures and messaging systems (e.g., Kafka)

Compensation: Depending on your skills and experience, you can expect your annual compensation to be between $145,000 - $165,000

About the Team

This is an opportunity to cultivate and lead an impactful team of Customer Experience Specialists . The Customer Experience Specialist team takes pride in delivering exceptional support and a world-class experience to thousands of customers each day. They play a vital role in every aspect of Opendoor’s operations—supporting customers through one of the most meaningful financial decisions of their lives. As an Experience Advocate Associate Manager you will deliver hands-on coaching and development while also maintaining a relentless focus on improving the experience for the thousands of customers (agents, buyers, sellers, neighbors among others) that we serve on a weekly basis. We’re looking for someone with the right blend of natural leadership, builder mentality, operator mindset and problem solving ability.

This role is based out of our Miami office and will report to the Senior Customer Experience Manager. 

Role Responsibilities

• Lead and manage a team of Experience Advocates (XAs) to consistently meet or exceed quality, responsiveness, and customer satisfaction metrics across multiple communication channels.

• Inspire a culture of urgency, accountability, and execution excellence, empowering team members to deliver fast, precise, and high-impact customer experiences.

• Build and sustain a high-engagement, in-person team culture grounded in openness, trust, direct feedback, and a shared commitment to identifying and eliminating customer defects.

• Role model Opendoor principles and XA team values in all interactions, setting a clear standard for professionalism, ownership, and customer advocacy.

• Recognize and celebrate individual and team successes, fostering motivation, retention, and a culture of appreciation across the organization.

• Continuously coach and develop team members, reviewing customer interactions to ensure alignment with company values and to elevate performance toward a world-class service standard.

• Maintain deep expertise in XA metrics, monitoring daily and weekly performance, identifying trends, spotting work avoidance, and driving corrective action through effective coaching and performance management.

• Actively manage staffing coverage and workload distribution, adjusting resources as needed to meet service demands and business priorities.

• Serve as an escalation leader and hands-on problem solver, working in the details daily to remove blockers, resolve complex customer issues, and ensure cross-team alignment.

• Proactively communicate with senior leaders, providing clear insights on performance, risks, and the customer impact of business decisions.

• Leverage customer insights to influence operational and product improvements, partnering closely with Operations and cross-functional teams to drive meaningful change.

• Maintain subject matter expertise across Opendoor offerings, participating in ongoing training, providing live support to the team, and handling inbound customer interactions as needed.

• Recruit, onboard, train, and coach new hires, accelerating ramp time and enabling team members to achieve their full potential.

Role Requirements

• Minimum 2+ years of management experience with direct reports. 

• Must be in office for all scheduled working days that fall on Monday, Tuesday, Thursday and Friday.

  • *Wednesdays are optional but not required

• Willingness to work on evenings, weekends and holidays.

• Available to work between the hours of 8:00am and 7:00pm EST.

• Model for what it means to be a leader - thoughtful, pursuit for the truth, deep desire to serve, decisive & solutions oriented.

• Strong communicator and team player with a desire to grow further.

• Committed continuous learner on real estate concepts, market dynamics, and Opendoor product offerings. 

• Work well within a team setting to create and deliver our overall vision for the XA org.

Our compensation plan consists of a base salary and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

About The Role

We’re hiring a cross-channel Sr Performance Marketing Manager who is equal parts strategist, analyst, operator, and partner manager. You will own end-to-end media planning, buying (via agencies and platforms), optimization, and measurement across Video (TV, CTV, OLV), Audio, Display/Programmatic, Direct Mail, and other local media. You have experience with traditional channels —with deep, hands-on expertise in digital media. You are a flexible jack-of-all-trades who can zoom from long-term strategy into in-the-weeds execution to deliver measurable business outcomes. Critically, you know how to “build brand through a performance lens,” connecting upper-funnel investments to near-term impact and long-term value creation.

What You’ll Do

• Lead cross-channel strategy and plans: define channel roles, audience frameworks, geo strategy, flighting, and mix across TV/CTV/OLV, Audio (streaming and terrestrial), Display/Programmatic, Direct Mail, and other local media —anchored in digital excellence.

• Manage agencies and platform partners: write briefs, set KPIs/SLAs, negotiate rates, push for inventory optimization, enforce QA standards, and ensure brand safety and suitability.

• Build brand through a performance lens: architect brand investments and creative systems that drive efficient reach, quality frequency, brand lift, and measurable downstream outcomes (site traffic, qualified leads, acquisition).

• Drive performance and learning velocity: design and run a rigorous test-and-learn roadmap (audiences, creative, supply, formats, bidding, landing experiences); scale winners, sunset underperformers, and codify learnings.

• Own budgets and pacing: forecast, allocate, and dynamically rebalance spend; connect investment to acquisition and brand outcomes; communicate returns, trade-offs, and risks crisply.

• Elevate measurement: lead incrementality and geo experiments; contribute inputs for MMM; maintain attribution hygiene; partner with Analytics and Data Science on experiment design and decision frameworks.

• Improve creative effectiveness: define specs and messaging frameworks by channel; partner with Brand/Creative on concepting, iteration, and refresh cadence.

• Strengthen data and tooling: champion single source-of-truth dashboards; reduce drift and duplicate tooling; leverage automation/AI to eliminate manual toil in planning, reporting and trafficking.

• Communicate and influence: deliver clear reporting, insights, and recommendations to senior stakeholders; translate data into action and align cross-functional teams on next steps.

What You’ll Need

• 7+ years in media planning/buying or performance marketing with deep expertise in digital (programmatic, CTV/OLV; paid social/search as applicable) and strong working knowledge of traditional channels (Linear TV, terrestrial radio, OOH, Direct Mail).

• Proven ability to build brand through a performance lens, linking brand media to acquisition and funnel efficiency while protecting quality reach and brand integrity.

• Demonstrated success managing agencies and platform partners, negotiating value, and holding a high execution bar.

• Strong analytical toolkit: experimentation, funnel diagnostics, incrementality, and translating insights into decisions; experience with BI tools and/or SQL is a plus.

• Hands-on familiarity with major platforms and tools: DSPs (e.g., DV360, The Trade Desk), CTV partners (e.g., YouTube, Roku), ad servers, verification/brand safety solutions, analytics/attribution (e.g., GA4, MMPs, MMM providers, lift testing).

• Excellent communication, prioritization, and stakeholder management; thrives in ambiguity, moves with urgency, and maintains a high quality bar.

• Ownership mindset with flexibility to switch between strategy and hands-on execution.

Preferred

• Experience in real estate, fintech/proptech, or performance-driven consumer brands.

• Agency and client-side experience 

• Depth in MMM/MTA, geo experiments, and incrementality frameworks; experience shaping a measurement roadmap.

• Comfort bridging brand and performance media; close partnership with creative, finance, product and data science teams

How We Measure Success

• Efficiency and impact: CAC/CPA, CPQL, incremental contribution, brand lift, quality reach/frequency.

• Operational excellence: pacing accuracy, testing velocity and iteration speed, creative refresh cadence, QA/brand safety adherence.

• Strategic influence: clarity of media strategy, improvements to the partner/tooling ecosystem, and durable cross-functional alignment.

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

About The Role

We’re hiring a Senior Paid Search Manager to lead strategy, execution, experimentation, and measurement across Google Ads and Microsoft Ads in a dynamic, multi-market footprint. You’ll push the frontier on AI-driven search, using modern search best practices—while building a rigorous testing framework and connecting paid search with SEO, AEO, and Social Search to win the evolving SERP. You’ll partner closely with Analytics, Product, Data Science, and Finance to align on the right optimization signals (e.g. ToF and qualified downstream events), ensure clean data pipelines, and drive measurable, durable growth.

What You’ll Do

Lead the search program end-to-end

• Own account structure, campaign taxonomy, bidding strategy, and budget/pacing strategy.

• Architect Performance Max (asset groups, audience signals, feeds, creative inputs) and core Search (RSA; DSA where appropriate).

Apply AI to scale performance and quality

• Leverage platform AI and custom automation (scripts/API) for query mapping, asset/creative generation and rotation, anomaly detection, bid/budget reallocation, and pacing.

• Pilot and productionize LLM-powered workflows for keyword/negative expansion, ad copy/asset ideation, and performance summarization.

Build a rigorous testing framework

• Design and run structured experiments (geo splits, incrementality tests, asset/audience match type tests) with pre-registered hypotheses, power checks, and clear decision rules.

• Maintain an experiment registry and codify learnings; scale winners quickly and sunset underperformers.

Elevate measurement and signal quality

• Partner with Analytics/Eng to implement enhanced conversions, offline conversion imports, and robust tagging; maintain auditable event taxonomies and conversion labels.

• Shift optimization toward higher-intent primary actions, balancing low- vs. high-latency events; implement value rules and tCPA/tROAS aligned to drive efficient CAC

• Ensure reliable data flows into warehouse/BI (e.g., Snowflake + QuickSight) and maintain single source-of-truth dashboards.

Drive geo precision and market governance

• Manage DMA/City/ZIP targeting, on/off market lists, exclusions, and budget allocation by region; ensure brand defense and healthy non-brand coverage.

Orchestrate SEO/AEO/Social Search convergence

• Build a unified query universe and avoid cannibalization; coordinate with SEO on content pillars, schema/FAQs, and internal linking to improve organic rankings and AI Overviews presence.

• Partner with Brand/Social to translate search insights into search-first content (YouTube, Reddit, TikTok), connect creator/social search to paid capture, and harmonize SERP/share-of-answer strategy.

Cross-functional and partner leadership

• Collaborate with Product/Eng on site speed, landing experiences, and signal latency reduction; align with Finance/Procurement on budgets, invoicing, and reconciliations.

• Manage Google/Microsoft relationships; prioritize relevant betas and escalate technical issues (API, data discrepancies) to resolution.

• Uphold privacy, compliance, and category policies (e.g., housing-related ad policies); enforce QA and brand safety standards.

Document and scale

• Maintain clear SOPs, naming conventions, SLAs, and QA checklists to ensure reliable operations as the program grows.

What You’ll Need

• 7+ years operating and scaling paid search across Google Ads and Microsoft Ads with multi-market complexity.

• Deep expertise with modern search (broad match + Smart Bidding), audience strategies, and RSA/asset testing at scale.

• Hands-on AI/automation experience: platform AI features, scripts/API, LLM-assisted workflows for ad ops and analysis; comfort evaluating and integrating new AI tools responsibly.

• Experimentation and measurement chops: geo experiments, incrementality testing, pre/post analysis, value-based bidding; MMM/MTA familiarity a plus.

• Data and tooling fluency: GTM, GA4 (or equivalent), BI dashboards; familiarity with cloud data warehouses (e.g., Snowflake) and data QA best practices; SQL is highly preferred.

• Proven success migrating to higher-intent optimization (enhanced conversions, offline conversion imports, consent-aware tagging) and tying media to downstream business impact.

• Exceptional communication and stakeholder management; can translate complexity into clear decisions and influence across Marketing, Product, Analytics, and Finance.

• Bias to action, high ownership, and meticulous operational hygiene (naming, labels, budgets, and pacing).

• Excellent communication, prioritization, and stakeholder management; thrives in ambiguity, moves with urgency, and maintains a high quality bar.

• Ownership mindset with flexibility to switch between strategy and hands-on execution.

Preferred

• Experience in real estate, fintech/proptech, or performance-driven consumer brands.

• Working knowledge of SEO, AEO (Answer/AI Engine Optimization), and Social Search mechanics; experience coordinating paid and organic

• Strategies across SERP surfaces, YouTube, Reddit, and TikTok search.

• Experience with feed management, landing page experimentation, and collaboration with Creative/Brand on search-first storytelling.

How We Measure Success

• Efficiency and impact: CAC/CPA, CPQL, incremental contribution, qualified pipeline

• Brand vs. non-brand efficiency; impression share/share of voice.

• Experiment velocity and impact: test cadence, time-to-decision, percent of budget behind proven winners, and documented learnings adopted cross-channel.

• Data quality and automation: tag/conversion health SLAs, offline match rates, dashboard accuracy, percent of workflows automated, anomaly detection 

• Convergence impact: blended paid+organic SOV on priority queries, reduction in cannibalization, presence/share in AI Overviews and Social Search, and improvements to search-driven landing experiences.

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

Location: 

In-office roles require all role responsibilities to be performed in the office. Candidates must be based within a 50-mile commuting distance of the specified office location, or able to commute to the Miami, FL office. Opendoor is a default, in-person company, and values having employees working in-office to foster a collaborative work environment and company culture.

About the Role 

Are you driven by helping people navigate life’s biggest decisions with confidence? Do you thrive on building trust, solving problems, and guiding customers through complex processes? If so, the Home Sales Advisor role at Opendoor offers a unique opportunity to be the empathetic and knowledgeable guide homeowners need as they explore their selling options.

This is more than a sales role—it’s about delivering clarity and certainty to homeowners facing one of the most consequential financial and emotional transitions of their lives. You’ll help customers compare the simplicity and reliability of Opendoor’s cash offer with the risks and complexities of traditional home selling. You thrive in helping others navigate rare or highly complex transactions, taking ownership of your busy pipeline, and delivering life-changing experiences. You know how to stay motivated and productive in a role impacted by seasonality. You’ll bring professionalism and a consultative approach expected in high-consideration transactions with a self-driven sales mindset where trust, expertise, and service delivery are paramount.

What You’ll Need 

• ​You have at least 3 years of experience in phone-based sales, with a focus on high-volume, high-activity sales environments. 
• Proven track record of success in meeting and exceeding sales goals on a monthly and quarterly basis.
• Ability and drive to work in a fast-paced, entrepreneurial, and team environment.
• General technical proficiency with sales tracking software with an emphasis on quick adjustments and real-time responsiveness.

Who You Are

• Sales-driven and results-oriented. You thrive in a competitive environment, meet challenges head-on, and are motivated by achieving and exceeding sales targets. Picking up the phone to connect with customers energizes you.
• Empathetic communicator. You possess exceptional listening skills and high emotional intelligence (EQ). You know how to uncover a customer’s fears and hopes and align them with the best solutions.
• Highly organized and detail-focused. Managing multiple tasks, platforms, and deadlines is second nature to you. Your precision ensures no ball is ever dropped.
• Adaptable and coachable. You embrace feedback and change, continuously refining your skills and processes to stay ahead in a dynamic environment.
• Team-oriented and dependable. You’re a collaborative team player who steps up when needed, supporting colleagues and customers alike with reliability and enthusiasm.

What You’ll Do 

• Be the trusted guide: Serve as the main point of contact for homeowners considering Opendoor’s solutions, explaining their options with empathy and professionalism.
• Consult and sell: Understand customers' unique needs, overcome objections, and clearly communicate the value of Opendoor’s offerings compared to traditional home-selling methods.
• Build meaningful connections: Engage customers via phone, video calls, email, and text, creating personalized and impactful interactions that inspire trust and confidence.
• Drive results: Proactively manage a pipeline of leads, ensuring customers stay on track and are fully supported throughout their transaction. Your goal: turn interest into action by driving conversions across multiple Opendoor products.
• Navigate complexity with ease: Manage timelines, handle shifting priorities, and collaborate across teams to deliver a seamless experience.
• Be there when it matters: Availability across various shifts, including evenings and weekends, ensures we meet customer needs on their schedule.

Bonus points if you have 

• Fluency in Spanish (Verbal & Written)

Compensation: 

Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets.  Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. Your recruiter can share more about the specific range for the job location during the hiring process. We also offer a comprehensive package of benefits including paid time off, 12 paid holidays per year, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.

#LI-RM
#LI-Onsite

About The Role

We’re hiring a Senior Paid Search Manager to lead strategy, execution, experimentation, and measurement across Google Ads and Microsoft Ads in a dynamic, multi-market footprint. You’ll push the frontier on AI-driven search, using modern search best practices—while building a rigorous testing framework and connecting paid search with SEO, AEO, and Social Search to win the evolving SERP. You’ll partner closely with Analytics, Product, Data Science, and Finance to align on the right optimization signals (e.g. ToF and qualified downstream events), ensure clean data pipelines, and drive measurable, durable growth.

What You’ll Do

Lead the search program end-to-end

• Own account structure, campaign taxonomy, bidding strategy, and budget/pacing strategy.

• Architect Performance Max (asset groups, audience signals, feeds, creative inputs) and core Search (RSA; DSA where appropriate).

Apply AI to scale performance and quality

• Leverage platform AI and custom automation (scripts/API) for query mapping, asset/creative generation and rotation, anomaly detection, bid/budget reallocation, and pacing.

• Pilot and productionize LLM-powered workflows for keyword/negative expansion, ad copy/asset ideation, and performance summarization.

Build a rigorous testing framework

• Design and run structured experiments (geo splits, incrementality tests, asset/audience match type tests) with pre-registered hypotheses, power checks, and clear decision rules.

• Maintain an experiment registry and codify learnings; scale winners quickly and sunset underperformers.

Elevate measurement and signal quality

• Partner with Analytics/Eng to implement enhanced conversions, offline conversion imports, and robust tagging; maintain auditable event taxonomies and conversion labels.

• Shift optimization toward higher-intent primary actions, balancing low- vs. high-latency events; implement value rules and tCPA/tROAS aligned to drive efficient CAC

• Ensure reliable data flows into warehouse/BI (e.g., Snowflake + QuickSight) and maintain single source-of-truth dashboards.

Drive geo precision and market governance

• Manage DMA/City/ZIP targeting, on/off market lists, exclusions, and budget allocation by region; ensure brand defense and healthy non-brand coverage.

Orchestrate SEO/AEO/Social Search convergence

• Build a unified query universe and avoid cannibalization; coordinate with SEO on content pillars, schema/FAQs, and internal linking to improve organic rankings and AI Overviews presence.

• Partner with Brand/Social to translate search insights into search-first content (YouTube, Reddit, TikTok), connect creator/social search to paid capture, and harmonize SERP/share-of-answer strategy.

Cross-functional and partner leadership

• Collaborate with Product/Eng on site speed, landing experiences, and signal latency reduction; align with Finance/Procurement on budgets, invoicing, and reconciliations.

• Manage Google/Microsoft relationships; prioritize relevant betas and escalate technical issues (API, data discrepancies) to resolution.

• Uphold privacy, compliance, and category policies (e.g., housing-related ad policies); enforce QA and brand safety standards.

Document and scale

• Maintain clear SOPs, naming conventions, SLAs, and QA checklists to ensure reliable operations as the program grows.

What You’ll Need

• 7+ years operating and scaling paid search across Google Ads and Microsoft Ads with multi-market complexity.

• Deep expertise with modern search (broad match + Smart Bidding), audience strategies, and RSA/asset testing at scale.

• Hands-on AI/automation experience: platform AI features, scripts/API, LLM-assisted workflows for ad ops and analysis; comfort evaluating and integrating new AI tools responsibly.

• Experimentation and measurement chops: geo experiments, incrementality testing, pre/post analysis, value-based bidding; MMM/MTA familiarity a plus.

• Data and tooling fluency: GTM, GA4 (or equivalent), BI dashboards; familiarity with cloud data warehouses (e.g., Snowflake) and data QA best practices; SQL is highly preferred.

• Proven success migrating to higher-intent optimization (enhanced conversions, offline conversion imports, consent-aware tagging) and tying media to downstream business impact.

• Exceptional communication and stakeholder management; can translate complexity into clear decisions and influence across Marketing, Product, Analytics, and Finance.

• Bias to action, high ownership, and meticulous operational hygiene (naming, labels, budgets, and pacing).

• Excellent communication, prioritization, and stakeholder management; thrives in ambiguity, moves with urgency, and maintains a high quality bar.

• Ownership mindset with flexibility to switch between strategy and hands-on execution.

Preferred

• Experience in real estate, fintech/proptech, or performance-driven consumer brands.

• Working knowledge of SEO, AEO (Answer/AI Engine Optimization), and Social Search mechanics; experience coordinating paid and organic

• Strategies across SERP surfaces, YouTube, Reddit, and TikTok search.

• Experience with feed management, landing page experimentation, and collaboration with Creative/Brand on search-first storytelling.

How We Measure Success

• Efficiency and impact: CAC/CPA, CPQL, incremental contribution, qualified pipeline

• Brand vs. non-brand efficiency; impression share/share of voice.

• Experiment velocity and impact: test cadence, time-to-decision, percent of budget behind proven winners, and documented learnings adopted cross-channel.

• Data quality and automation: tag/conversion health SLAs, offline match rates, dashboard accuracy, percent of workflows automated, anomaly detection 

• Convergence impact: blended paid+organic SOV on priority queries, reduction in cannibalization, presence/share in AI Overviews and Social Search, and improvements to search-driven landing experiences.

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

About The Role

We’re hiring a cross-channel Sr Performance Marketing Manager who is equal parts strategist, analyst, operator, and partner manager. You will own end-to-end media planning, buying (via agencies and platforms), optimization, and measurement across Video (TV, CTV, OLV), Audio, Display/Programmatic, Direct Mail, and other local media. You have experience with traditional channels —with deep, hands-on expertise in digital media. You are a flexible jack-of-all-trades who can zoom from long-term strategy into in-the-weeds execution to deliver measurable business outcomes. Critically, you know how to “build brand through a performance lens,” connecting upper-funnel investments to near-term impact and long-term value creation.

What You’ll Do

• Lead cross-channel strategy and plans: define channel roles, audience frameworks, geo strategy, flighting, and mix across TV/CTV/OLV, Audio (streaming and terrestrial), Display/Programmatic, Direct Mail, and other local media —anchored in digital excellence.

• Manage agencies and platform partners: write briefs, set KPIs/SLAs, negotiate rates, push for inventory optimization, enforce QA standards, and ensure brand safety and suitability.

• Build brand through a performance lens: architect brand investments and creative systems that drive efficient reach, quality frequency, brand lift, and measurable downstream outcomes (site traffic, qualified leads, acquisition).

• Drive performance and learning velocity: design and run a rigorous test-and-learn roadmap (audiences, creative, supply, formats, bidding, landing experiences); scale winners, sunset underperformers, and codify learnings.

• Own budgets and pacing: forecast, allocate, and dynamically rebalance spend; connect investment to acquisition and brand outcomes; communicate returns, trade-offs, and risks crisply.

• Elevate measurement: lead incrementality and geo experiments; contribute inputs for MMM; maintain attribution hygiene; partner with Analytics and Data Science on experiment design and decision frameworks.

• Improve creative effectiveness: define specs and messaging frameworks by channel; partner with Brand/Creative on concepting, iteration, and refresh cadence.

• Strengthen data and tooling: champion single source-of-truth dashboards; reduce drift and duplicate tooling; leverage automation/AI to eliminate manual toil in planning, reporting and trafficking.

• Communicate and influence: deliver clear reporting, insights, and recommendations to senior stakeholders; translate data into action and align cross-functional teams on next steps.

What You’ll Need

• 7+ years in media planning/buying or performance marketing with deep expertise in digital (programmatic, CTV/OLV; paid social/search as applicable) and strong working knowledge of traditional channels (Linear TV, terrestrial radio, OOH, Direct Mail).

• Proven ability to build brand through a performance lens, linking brand media to acquisition and funnel efficiency while protecting quality reach and brand integrity.

• Demonstrated success managing agencies and platform partners, negotiating value, and holding a high execution bar.

• Strong analytical toolkit: experimentation, funnel diagnostics, incrementality, and translating insights into decisions; experience with BI tools and/or SQL is a plus.

• Hands-on familiarity with major platforms and tools: DSPs (e.g., DV360, The Trade Desk), CTV partners (e.g., YouTube, Roku), ad servers, verification/brand safety solutions, analytics/attribution (e.g., GA4, MMPs, MMM providers, lift testing).

• Excellent communication, prioritization, and stakeholder management; thrives in ambiguity, moves with urgency, and maintains a high quality bar.

• Ownership mindset with flexibility to switch between strategy and hands-on execution.

Preferred

• Experience in real estate, fintech/proptech, or performance-driven consumer brands.

• Agency and client-side experience 

• Depth in MMM/MTA, geo experiments, and incrementality frameworks; experience shaping a measurement roadmap.

• Comfort bridging brand and performance media; close partnership with creative, finance, product and data science teams

How We Measure Success

• Efficiency and impact: CAC/CPA, CPQL, incremental contribution, brand lift, quality reach/frequency.

• Operational excellence: pacing accuracy, testing velocity and iteration speed, creative refresh cadence, QA/brand safety adherence.

• Strategic influence: clarity of media strategy, improvements to the partner/tooling ecosystem, and durable cross-functional alignment.

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

About the Role

The Listing Partner Manager leads a team of licensed Listing Partners (LPs) who serve as the single point of contact for buyers' agents from offer through close on Opendoor-owned resale homes.

You'll be responsible for hitting market-level sales and experience targets by coaching LPs on negotiation, pipeline management, and escalation discipline, while partnering cross-functionally with Pricing, Homes, Title & Escrow, Brokerage, and Product/Tooling to remove friction from the resale process.

• You will build the Miami LP team, its culture, and its operating systems from the ground up — there is no existing playbook to inherit, only one to create.
• This role operates in a fast-moving environment where product, tooling, and policy regularly evolve. The LPM is expected to be a stabilizing force for their team, not a passive recipient of change.

If you thrive in a metrics-driven, high-volume environment, love coaching sales talent, are energized by building from scratch, and are excited to shape the future of Opendoor's resale business — this role is for you.

What You'll Do

Team Leadership & Performance

• Lead, coach, and develop a team of Listing Partners to deliver against a balanced scorecard with defined targets: Conversion ≥70%, Fallthrough ≤18%, Pend-to-Close ≤30 days, Title Attach ≥93%, Armadillo Paid ≥20%, SLA Adherence ≥95%, Net Proceeds vs RTP, and CSAT.
• Run regular 1:1s, call reviews, and file audits to provide clear, actionable feedback and document strengths and development areas.
• Own performance management for your team (goal setting, calibration inputs, performance reviews, and, when necessary, formal performance plans).

• Use AI-generated call scores and conversation analytics (Gumloop Call Scoring) as structured inputs to coaching — moving from reactive file review to proactive, data-driven development conversations.

Operational Excellence

• Ensure LPs consistently follow the Resale playbook, including accurate CITY/CRM hygiene, use of TC workflows, escalation pathways, and coverage processes.
• Monitor dashboards and scorecards to proactively identify risk (aging pendings, high BRN spend, SLA misses, fallthrough risk) and drive corrective action.
• Create and maintain lightweight operating rhythms (team meetings, WBRs/MBRs, leaderboards, audits) that keep the team focused on the right priorities.
• Drive adoption of Opendoor's attach programs — Title, Armadillo, and Lower Mortgage — coaching LPs on offer-entry procedures and buyer activation messaging to hit target attach rates.

• Serve as the LP team's voice in the CRM migration (Zendesk is sunsetting): evaluate the replacement against LP workflow needs, communicate the transition clearly, and drive adoption without performance disruption.
• Proactively identify workflows where AI or automation can reduce LP handle time, improve consistency, or surface risk earlier — partnering with Tooling/Product to pilot and scale them.
• Lead your team through change without losing performance cadence — whether that's a CRM migration, a new AI workflow rollout, a Pricing policy shift, or a product change mid-quarter. Translate ambiguity into clear next actions before your team has to ask.

Coaching on Negotiation & Escalations

• Act as a go-to escalation point for complex negotiations (multi-offer scenarios, low appraisals, LRRs, BRN edge cases, legal/reputation-sensitive issues).
• Coach LPs on framing offers and counters to balance conversion, margin, and agent experience; setting clear expectations with buyers' agents on timelines, repairs, and constraints; and when/how to escalate to Pricing, Homes, Title, or leadership with a clear recommendation.

Cross-Functional Partnership

• Partner closely with Pricing, Homes, T&E, Brokerage, CX, and Tooling/Product to surface recurring issues and data-backed opportunities to improve workflows and policies.
• Pilot new processes (e.g., TC model, countering tools, attach programs) and drive adoption across your team.
• Represent the LP perspective in cross-functional forums, bringing crisp examples and data from your team.

People, Culture & Licensing

• Hire, onboard, and ramp new LPs, including 30/60/90 plans, shadowing, and certification on key workflows — including two consecutive LP classes (April + May) requiring you to run structured training programs while maintaining pipeline oversight.
• Foster a high-accountability, high-support culture that celebrates wins, learns quickly from misses, and embraces change.
• Partner with Brokerage/licensing teams to ensure your direct reports remain in good standing and compliant with licensing, MLS participation, and brokerage policy.

• Build the Miami LP office culture from scratch: establish team norms, escalation rhythms, call standards, and in-office identity — then bridge those consistently to the existing Phoenix in-office team.

Who You Are

• Sales-driven and results-oriented. Energized by hitting and exceeding targets; able to translate portfolio-level goals into daily actions for your team.
• Coaching-focused leader. You enjoy being on the floor with your team — listening to calls, reviewing files, and giving specific, timely feedback.
• Operationally disciplined. You use data and operating rhythms to keep a complex book of work under control.
• Calm in complexity. You handle escalations and change with composure, bringing structure, judgment, and clear communication to ambiguous situations.
• Collaborative and low-ego. You work well with peers and cross-functional partners, comfortable both advocating for your team and holding them to a high bar.

• Comfortable operating in ambiguity. You set direction and hold your team accountable even when policies, tools, or priorities are actively shifting. You don't wait for perfect information to make a call.
• Builder mentality. You are energized by creating something from nothing — whether that's a team culture, an operating rhythm, or an AI-powered workflow. You don't need an existing playbook to get started.

What You'll Bring

Experience

• 3–5+ years in residential real estate, sales, or transaction management, with meaningful time in a high-volume, metrics-driven environment.
• 1–3+ years of people management experience leading sales or account-management teams.
• Demonstrated experience managing teams through organizational or systems change — including communicating the 'why,' addressing resistance, and maintaining accountability during transitions.

Licensing

• Active, unrestricted real estate salesperson or broker license in at least one U.S. state (or ability to obtain within a defined timeline).
• Comfort operating within brokerage, MLS, and state regulatory requirements.

Skills

• Proven ability to coach on negotiation, pipeline discipline, and customer/agent communication.
• Excellent written and verbal communication.

• Strong analytical skills: ability to diagnose performance root causes across a multi-metric scorecard; comfortable building and reading dashboards in tools like QuickSight or equivalent BI platforms.
• AI fluency: demonstrated comfort using AI-powered sales tools — call scoring, workflow automation, offer-entry bots. Experience building or refining AI workflows for a sales team is a plus.

Work Style

• Comfortable working in-office where required and flexing to support peak periods, including occasional evenings/weekends.
• Bias toward action, ownership, and continuous improvement.

• Skilled at building consistency across in-office and distributed sub-teams; comfortable holding a high bar for both groups without creating a two-tier culture.

FSR Analyst

Minimum Secret Clearance Required

Locations: 

• Miami FL,
• Bragg NC,
• Vandenberg CA,
• CO Springs CO,
• Hawaii,
• Las Vegas NV,
• Newport News VA,
• San Diego CA,
• Camp Lejune NC,
• Washington DC,
• Shreveport LA
• Jacksonville FL,
• Tucson, AZ
• Fort Walton Beach, FL
• San Francisco, CA
• Juneau, Alaska

PVM, Inc. is looking for a skilled and experienced Field Service Representative (FSR) Analyst to join our team. In this role, you will partner with implementation teams to design, develop, and deploy advanced technical solutions that address our customers' most complex challenges. As an FSR Analyst, you will work directly with analysts to train and mentor users, troubleshoot technical issues, and create innovative use cases. Whether supporting users on-site worldwide or collaborating with colleagues in our offices, you will be instrumental in driving success and delivering meaningful results.

Responsibilities

• Deliver one-on-one desk-side training to analysts.
• Conduct classroom training sessions for analysts and operators.
• Support the Help Desk by addressing user inquiries and collaborating with the engineering team to resolve technical issues.
• Provide the engineering team with user feedback to enhance the product.  

Requirements

• Minimum of Secret Clearance
• Experience fusing intelligence capabilities in support of operations.

• Prior experience with Palantir Gotham required. Additional experience with Palantir Gaia and Palantir Foundry is a plus.
• Strong communication skills with the ability to break down, explain, and demonstrate complex concepts in an easy-to-understand manner.
• Ability to travel domestically and internationally 25% of the time.
• Ability to work independently and as part of a team.
• Strong knowledge of Excel.
• Military/Special Operation/Law Enforcement experience is a plus.

Tools

• Technical background with working knowledge of HTML, Ruby, Python and/or Java, as well hardware, networks, and server administration.

• Technical background with working knowledge of Python, Java and/or JavaScript/Typescript.

• Prior experience with Palantir Gotham required. Additional experience with Palantir Gaia and Palantir Foundry a plus.
• Strong knowledge of Excel

Skills

• Strong communication skills with the ability to break down, explain, and demonstrate complex concepts in an easy-to-understand manner
• Ability to travel domestically 25% of the time if needed
• Ability to work independently and as part of a team.

Why PVM?

At PVM, we mean it when we say we value diversity. As a PVM team member, you will work with people from all different backgrounds that are passionate about the problems we solve for our customers and are focused on delivering value for our clients. Our culture encourages problem solving, leadership, and innovation, and creates an environment that will support your professional and personal growth.

PVM delivers digital services that help government agencies unlock the power of their data for good and maximize the value of their technology investments. We design, develop, and deploy solutions to solve mission-critical problems. PVM is a black- and service-disabled veteran-owned small business and was founded by a retired Naval officer out of frustration with the status quo with one goal in mind: to help his fellow Shipmates solve the problems they were facing every day. Today, we continue to be driven by that same goal, and are focused on taking on our clients’ missions as our own to make a difference in the communities we serve.

PVM believes in equal opportunity employment. We won't discriminate against any employee or applicant based on race, gender, nationality, age, religion, disability, military status, or sexual orientation. As a company and as individuals, we're committed to providing an inclusive and welcoming environment for our team, our family members, and our clients.