Summary: Seeking an experienced contractor with extensive expertise in scripting, server configuration, and infrastructure management to support and optimize the Department WIC data system and associated applications. This role involves daily technical support, troubleshooting, and enhancing system performance through strategic recommendations.

Responsibilities:

• Conduct daily development and technical support for the Department WIC data system and interfaces, including EBT system and other applications.
• Troubleshoot and provide solutions for daily processing and development issues.
• Maintain and submit documentation on system performance, including maintenance and process corrections.
• Identify and recommend operational efficiencies to enhance system performance.
• Conduct evaluations of new software or hardware and recommend technologies to support business processes.
• Analyze and document technical requirements for system fixes, modifications, and enhancements.
• Produce work plans for implementing infrastructure requirements for system platform improvements.
• Create scripts for system fixes, modifications, enhancements, interfaces, and integration processes.
• Conduct and document testing results for system modifications and enhancements.
• Produce documentation for system modifications and enhancements as required.

Qualifications:

• Minimum of ten years in scripting and infrastructure management using PowerShell, SQL, Python, and MS batch scripts.
• Ten years of experience in configuring Windows server installations and applying security best practices.
• Five years of experience with Infrastructure-as-Code (IAC) using platforms such as Kubernetes, Helm, and Ansible.
• Five years with Microsoft SCCM or Intune and management of end-user workstations.
• Five years supporting Linux/BSD server installations.
• Five years of experience with Active Directory and group policies.
• Five years of experience supporting business applications in cloud-native architectures.
• Understanding of network protocols, topologies, VLANs, subnets, and route tables.
• Exceptional logical troubleshooting skills and self-motivation, evidenced by career achievements or advancements.

Ll:#Onsite 

Position Overview:

As the Product Finance Director leading the Cyber Security and IT Automation Product Pillars, you will have end-to-end finance ownership and directly partner with the General Managers and engineering leaders to set the strategic direction for these core pillars. The successful candidate must operate in a fast-paced, results-oriented environment and will lead a team responsible for monthly financial reporting, annual planning processes, and pricing decisions for new product launches, etc.  You will report to the VP of Product Finance while also working closely with other cross-functional leaders across Infrastructure/Engineering, Operations, and Go-to-Market teams.

Key Responsibilities:

• Strategic Partnership: Collaborate with the General Manager of the business unit to provide financial insights, strategic planning, and data-backed business decision support that accelerates growth.
• Budgeting and Forecasting: Own the financial planning process for the business unit, including annual budgeting, quarterly forecasting, and multi-year long-term planning to ensure alignment with corporate goals.
• Performance Reporting: Generate and deliver monthly, quarterly, and annual financial reports, including variance analysis, KPI monitoring, scenario analysis, and stress tests, with a sharp focus on actionable insights to drive growth and profitability.
• Cost Optimization: Identify and implement opportunities to optimize financial performance by analyzing costs related to product development, support, and delivery.
• Capital Planning: Ensure effective allocation and use of capital for business unit growth initiatives, focusing on investments that drive longer-term profitability and ROI.
• Cross-Functional Collaboration: Work closely with the General Manager and other functional leaders, including Product, IT, Operations, and Engineering, to align financial strategies with operational needs and priorities.
• Financial Modeling: Develop robust, scalable financial models to support data-driven decision-making, including SaaS-specific metrics like ARR growth, churn reduction, and LTV/CAC optimization.

Required Qualifications

• Experience: 10-15+ years of experience in finance, FP&A, or related fields, with significant experience supporting a high-growth business unit, or applicable background in management consulting. Experience with SaaS/High Tech companies (e.g., managing subscription revenue models) strongly preferred.
• Education: Bachelor’s degree in finance, accounting, economics, or business-related field required; MBA or advanced degree preferred (or equivalent relevant experience).
• Business Partnering: Proven ability to partner with general managers or senior operational leaders to drive business results, including influencing without authority.
• Leadership Skills: Strong leadership and communication skills, with a demonstrated ability to manage and influence cross-functional teams in a matrixed organization.
• Data-Driven: Analytical mindset, able to translate data into actionable insights using tools like Excel, SQL, or financial planning software (e.g., Oracle EPBCS).
• Flexibility & Adaptability: Ability to thrive in a fast-paced, high-growth environment with evolving priorities and challenges.

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. 

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and partners to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned software architects and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our field partner leaders and play a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations.

As an ideal candidate, you will have:

• 8+ years of pre-sales experience with enterprise software and technical aptitude
• Working knowledge and ability to code with one  or more modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) 
• Experience with scalable and highly available distributed systems 
• 2+ years of software development experience
• Excellent presentation and communication skills 
• The ability to travel up to 50%
• A Bachelor’s degree or equivalent work experience
• Professional proficiency in speaking and writing Portuguese and English 
• Professional proficiency in speaking and writing Spanish is highly preferred

As an ideal candidate, you may also have:

• Experience selling databases and/or deploying applications with any of the major cloud providers 
• Experience with database programming and data modelling
• Knowledge of modern technologies - their function and integration requirements - e.g. Spark, cloud storage/streaming, API mgmt, Kafka, serverless.
• A cloud provider certification
• A MongoDB Certification 

What you do at MongoDB:

• You work with our advisory consulting partners on reference architectures, patterns, and AI blueprints for making the best use of MongoDB 
• You confidently articulate the business value of MongoDB solutions and bridge this to technical value
• You partner with our account teams to help ensure success in accounts ranging from small startups to large enterprises 
• You align to support sales with activities such as technical discovery, demos, proof of value, presentation, sizing, and documentation of technical decision criteria; working across a number of opportunities in parallel
• You translate technical concepts and patterns into business benefits for management and executives 
• You act as a liaison, gathering feedback from the field to relay back to the Product Management team
• You will have the opportunity to help drive demand through participation in both industry-known trade-shows as well account-based marketing events
• You demonstrate resilience and sound judgment in dealing with business challenges
• You have an ability to drive customer demand within a sales territory, by being self-motivated, proactive and understanding the importance of a strong sense of urgency
• You proactively seek opportunities to support and mentor other pre-sales team members and share best practices
• You have situational awareness and react appropriately in group settings

Particularly with Partners:

• You successfully build and maintain effective relationships with technical partners, gaining their trust, influencing their decisions, and reinforcing their understanding of how MongoDB adds value to the broader ecosystem and needs of clients
• You understand the importance of a strong sense of urgency reflected through ability to drive partner demand within the sales territory
• You align to drive partner Center of Excellence strategies and create demand for MongoDB solutions
• You have a strong understanding of partner business model, value, and needs
• You demonstrate the ability to anticipate and respond appropriately to partner objections
• You are seen as a “Trusted Advisor” with technical partner stakeholders
• You team up to build joint proposals with partners for the client
• You drive strategy and implementation of solution architecture for products and services within the partner ecosystem of the region
• You can demonstrate technical expertise of general IT and application operations through mentorship of local partner organizations
• You create strategies that map specific industry trends to account base within local partner organizations
• You create strategies that map competitive threats within local partner organizations

What you will learn:

• The rapidly expanding MongoDB product suite, including:
• Core database server
• Atlas (fully managed cloud database service)
• Atlas Data Lake
• Atlas Full-Text Search
• Realm
• Charts
• Other Tools and connectors - Ops/Cloud Manager, Compass, Connector for BI, Connector for Spark
• Market-relevant, complementary technologies e.g. Apache Kafka, Kubernetes
• Modern and popular architecture design patterns, methodologies and concerns e.g. microservices, event-driven architectures, DevOps, cloud, security
• Sales techniques and related soft skills - presentations, demonstrations, whiteboarding, discovery, objection handling
• Exposure to a wide variety of market verticals and broad spectrum of interesting use cases

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 1273379214

Work Period: June 2026 to August 2026 

Location & Schedule: This is a full-time, 40-hour-per-week position with a minimum of 3 days per week onsite either in Miami, FL or in Needham, MA. There is no relocation or housing assistance for this position. 

Join the SharkNinja Early Edge Experience: Built for early career talent. Geared toward impact. Driven by speed. Whether you're in a co-op or internship, our early talent program is designed to provide valuable exposure to the industry and a fast-paced professional environment. You'll dive into meaningful projects and tasks that sharpen your skills and deepen your knowledge. Along the way, you'll benefit from professional development opportunities, community events, and connections that make your experience well-rounded and enriching. Your time with us will culminate in an opportunity to showcase your contributions and learnings to SharkNinja leaders because this is a program for those ready to shape what's next — fast. 

This role: As an Applied AI & Analytics Intern, you'll be at the heart of driving company-wide AI transformation and working on high-impact, cross-functional business problems. 

You'll partner closely with other members of the team to utilize AI to turn data into insights that inform decisions across the company. This role sits at the intersection of SharkNinja's Jailbreak AI initiative, a company-wide movement backed by $1M in innovation awards, giving you direct exposure to real AI deployments, not sandbox exercises. 

The internship is built for builders who want to learn by doing, moving fast, and seeing their work in production, not in a slide deck at the end of the summer. We have a strong preference for those who bring full-stack or data analytics experience and are ready to apply it in a real business environment from day one.  

Here are some of the EXCITING things you'll get to do: 

• Support the scoping and analysis of business questions by gathering and organizing relevant data
• Write AI prompts and assist in data cleaning and preparation
• Design and iterate on AI prompts to extract actionable insights from business data
• Help build dashboards, reports, or simple models used by internal teams through the use of AI tools
• Assist in identifying trends, patterns, and insights within datasets through AI
• Use AI tools to improve efficiency and support analytical workflows
• Contribute to agentic workflow prototypes that automate manual, high-friction business processes
• Contribute to materials that communicate findings to stakeholders
• Help identify data gaps or inconsistencies and flag opportunities for improvement 

Our ideal builders will have the following attributes & skills:

• Education: Must be currently enrolled in a bachelor's or master's program
• Must be able to work a full-time, 40-hour-per-week schedule with a minimum of 3 days per week onsite in either Miami, FL or Needham, MA
• Experience with data visualization tools (Tableau, Power BI, Looker, or similar)
• Experience actively building with AI tools (LLMs, automation workflows, or agent frameworks), not just using them
• Experience working with real-world or messy datasets
• Working knowledge of SQL, Python, or similar tools through coursework or projects
• Ability to approach problems in a structured and logical way
• Interest in consumer products, retail, or e-commerce
• Embodies SharkNinja's Success Drivers:
  • Rarely Satisfied – Adopt a 'no delays' mentality in delivering against market needs/timing
  • Progress over Perfection – Make quick, daily progress and continuously adapt to achieve results rather than requiring perfect planning
  • Details Make the Difference – Brings rigor to data preparation, model assumptions, and analytical outputs; understands that the quality of an AI output is only as good as the quality of the input
  • Winning is a Team Sport – Ability to develop strong cross-functional relationships
  • Communicate for Impact – Strong communication skills; ability to deliver effective presentations to all levels of management 

Please note that, due to the high volume of applications for early talent roles, response times may vary depending on the specific role and timeline. Our team appreciates your patience! 

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 Period: July 2026 to December 2026 

Location & Schedule: This is a full-time, 40-hour-per-week position with a minimum of 3 days per week onsite in Miami, FL. There is no relocation or housing assistance for this position. 

Join the SharkNinja Early Edge Experience: Built for early career talent. Geared toward impact. Driven by speed. Whether you're in a co-op or internship, our early talent program is designed to provide valuable exposure to the industry and a fast-paced professional environment. You'll dive into meaningful projects and tasks that sharpen your skills and deepen your knowledge. Along the way, you'll benefit from professional development opportunities, community events, and connections that make your experience well-rounded and enriching. Your time with us will culminate in an opportunity to showcase your contributions and learnings to SharkNinja leaders because this is a program for those ready to shape what's next — fast. 

This role: As a Fall Co-op on the Applied AI & Analytics team in the Office of the CEO – at the heart of driving company-wide AI transformation, you will take on meaningful ownership of cross-functional business problems over a 6-month engagement. 

.Unlike a short-term internship, this longer term co-op timeline gives you the runway to take a project from problem definition through to deployed solution. You'll be expected to own your work end-to-end, from scoping the business question to presenting outcomes to senior stakeholders. This role sits at the intersection of SharkNinja's Jailbreak AI initiative, a company-wide movement backed by $1M in innovation awards, giving you direct exposure to real AI deployments, not sandbox exercises. 

Here are some of the EXCITING things you'll get to do: 

• Own the end-to-end scoping, analysis, and delivery of a defined business problem — from data gathering through insight communication 

• Design, iterate, and document AI prompts and workflows; take ownership of data preparation pipelines for assigned projects 

• Build and maintain dashboards, reports, or models that are actively used by internal teams — with full accountability for quality and accuracy 

• Identify trends, patterns, and insights within datasets and translate them into actionable recommendations 

• Use AI tools to improve efficiency and automate analytical workflows 

• Develop and test agentic workflow prototypes that reduce manual effort on high-friction business processes 

• Present findings and recommendations directly to team leads and business stakeholders 

• Identify data gaps or inconsistencies and propose solutions, not just flag them 

ATTRIBUTES & SKILLS: 

• Education: Must be currently enrolled in a bachelor's or master's program, or have graduated within the past year 

• Must be able to work a full-time, 40-hour-per-week schedule with a minimum of 3 days per week onsite in Miami, FL 

• Experience with data visualization tools (Tableau, Power BI, Looker, or similar) 

• Demonstrated experience building with AI (LLMs, automation workflows, agent frameworks, or prompt engineering) with examples you can speak to 

• Experience working with real-world or messy datasets 

• Working knowledge of SQL, Python, or similar tools through coursework or projects 

• Ability to approach problems in a structured and logical way 

• Interest in consumer products, retail, or e-commerce 

• Embodies SharkNinja’s Success Drivers: 

• Rarely Satisfied – Adopt a 'no delays' mentality in delivering against market needs/timing 

• Progress over Perfection – Make quick, daily progress and continuously adapt to achieve results rather than requiring perfect planning 

• Details Make the Difference – Brings rigor to data preparation, model assumptions, and analytical outputs; understands that the quality of an AI output is only as good as the quality of the input 

• Winning is a Team Sport – Ability to develop strong cross-functional relationships 

• Communicate for Impact – Strong communication skills; ability to deliver effective presentations to all levels of management 

Please note that, due to the high volume of applications for early talent roles, response times may vary depending on the specific role and timeline. Our team appreciates your patience! 

Applied AI & Analytics Associate, Office of the CEO

Miami, FL | Office of the CEO — Data, Analytics & AI

You Don't Wait to Be Asked. Neither Do We.

At SharkNinja, we've built a culture around one simple belief: the best answer wins. Not the loudest opinion. Not the most senior voice in the room. The best answer — backed by data, delivered with clarity, and executed with urgency.

We're hiring an Applied AI & Analytics Associate to sit inside the Office of the CEO. This is not a support role. This is not a reporting role. This is a problem-solving role — one where you'll work directly alongside the VP, Chief of Staff to the CEO and senior leaders across the company to crack open the problems that matter most and turn them into decisions that drive the business forward.

If you thrive in ambiguity, build before you're told to, move fast across functions, and believe that a clean insight delivered fast beats a perfect deck delivered late — read on.

What You'll Actually Do

You will be an analytics and AI professional embedded in the Office of the CEO, contributing to high-impact analytical work across the company and contributing to how SharkNinja uses data and AI to make better decisions.

This is not a single-team support role. You'll move across functions — working with product, operations, finance, supply chain, marketing — on whatever problems matter most to the business right now.

On any given week, you might:

• Partner with the VP and Chief of Staff on analytical questions that require structured problem-framing, data modeling, or clear recommendations
• Contribute to multi-week analytical initiatives from scoping through delivery, working with senior stakeholders on managing expectations and timelines
• Build and maintain dashboards, decision-support tools, and analytical models that help senior leaders operate more effectively
• Use LLMs, AI automation, or machine learning to accelerate your own analysis and help other teams do the same
• Identify gaps in how the company tracks performance and propose practical improvements in collaboration with finance, operations, and product teams
• Work with teams to adopt analytical approaches or tools, contributing to broader adoption and impact
• Introduce better analytical methods and tools to raise the quality and consistency of output across teams
• Communicate findings clearly to senior stakeholders — translating complex analysis into straightforward recommendations that connect to business outcomes
• Connect the dots between data from multiple functions to surface insights no single team could see on their own
• Help support and review work from junior analysts or co-ops, contributing to their development

This is a hands-on role based in our Miami office with real ownership over analytical delivery and measurable business impact. You will work on complex problems with appropriate support from senior stakeholders and produce high-quality work.

What It Takes to Win Here

Must Have:

• 2+ years of experience in analytics, data science, or consulting with a demonstrated track record of analytical delivery
• Hands-on experience deploying or building with LLMs, generative AI, or automation tools — not just familiarity, but practical usage in real work
• Strong working command of SQL and Python — you pull and manipulate data directly and can build scalable analytical solutions
• Proficiency building dashboards and analytical tools (Tableau, Power BI, Looker, or similar)
• Clear communication skills — you can present findings to senior stakeholders and explain complex analysis in plain language
• Demonstrated ability to take an ambiguous business question and structure a complete analytical approach
• Experience managing multiple workstreams and delivering against timelines with limited oversight
• Previous project or program management experience — managing scope, timelines, and cross-functional coordination
• Understanding of impact orientation — you connect your analytical work to business results and can articulate what changed because of your analysis
• Experience contributing to adoption — you've worked on building or improving a tool, process, or approach that a team has used; you're learning what it takes to drive change

Even Better If You Have:

• Background in consumer products, retail, or e-commerce — you understand margin dynamics, go-to-market, and how these businesses scale
• Experience with advanced statistical methods — experimentation, time-series analysis, or applied ML
• Hands-on experience with large-scale data infrastructure — designing data pipelines, working with modern cloud platforms (Snowflake, BigQuery, Databricks)
• Prior exposure to working alongside executive or senior leadership teams
• Experience identifying and solving systemic problems — moving beyond answering a single question to fixing how a team or function operates

Tools & Stack

• Languages: SQL, Python (strong proficiency); R, Scala, or equivalent a plus
• BI & Visualization: Tableau, Power BI, Looker, or similar — deep proficiency in at least one platform
• Data Platforms: Hands-on experience with modern cloud data platforms (Snowflake, BigQuery, Databricks)
• AI & Automation: Production experience with LLMs, generative AI, or automation tools — not just familiarity, but deployed solutions
• Collaboration Tools: Slack, Jira, Asana, or similar for cross-functional coordination

Why This Role, Why Now

SharkNinja is one of the fastest-growing consumer product companies in the world. We operate with the intensity of a startup and the scale of a global brand — and the Office of the CEO is where the most important, cross-cutting work gets done.

This role gives you direct exposure to how a company at this scale makes decisions, solves hard problems, and keeps moving. You will not be on the sidelines. You will be in the room. You will work across the entire company, not in service of a single function.

If you want a role where you can see the impact of your work — where you're not just producing output but driving outcomes — and where you're building capability that others actually use, this is it.

Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals.

As a Partner Success Manager, you’ll be the face and voice of Via for our partners both internally and externally. In this dynamic role, you’ll be responsible for building genuine and durable customer relationships while converting those relationships into opportunities for long-term revenue growth. You will serve as our partners’ trusted advisor by providing strategic guidance on operational, go-to-market, and product-related issues. Simultaneously, you will be an internal advocate for partners with Via by championing for new products and capabilities to facilitate the expansion of each partner’s service size and scope. 

This is a US East Coast role. We're ideally looking for candidates in Miami or Atlanta (remote) or New York City (hybrid from our Union Square office), but are open to other East Coast locations.

What You'll Do

• Own the success of advanced transportation systems in our partner’s cities, acting as the primary point of contact for executive city and agency leadership
• Act as a trusted advisor and consultant to our partners, helping to convert their ideas and community needs into revenue opportunities for Via
• Build deep and trusting long-term relationships with partners by identifying partner pain points, providing solutions, and recognizing opportunities for service growth and revenue generation
• Analyze daily, weekly, and long-term service performance data to provide partners with actionable recommendations that improve their services’ quality, efficiency, and growth
• Negotiate multi-year and highly complex contract renewals and service expansions to increase year-on-year revenue from each partnership

Who You Are

• You have minimum of 4+ years of relevant work experience, including client facing experience, including (but not limited to) consulting, consultative customer success, or success at a high growth company
• Entrepreneurial relationship builder who remains calm and collected when faced with highly complex, politically sensitive situations
• Quantitatively-inclined and data savvy; you may not be a SQL expert, but you enjoy drawing quick, insightful conclusions from complex data sets, asking critical questions, and synthesizing raw numbers into simple, actionable recommendations
• A reliable, motivated self-starter with a growth mentality. You enjoy fast-paced environments, aren’t deterred by setbacks or pivots, and thrive in roles requiring a very high degree of responsibility
• An excellent team player; you’re a meaningful individual contributor, and a mentor to others on your team. You view successes as a team effort, and enjoy working with others

Compensation and Benefits: 

• Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable
• Base Salary Range: $85,000 - $110,000
• We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching.

We’re Via, and we build technology that changes the way the world moves. We’re driven by a simple mission: to create modern and efficient public transportation systems that provide far greater access to jobs, healthcare, and education. With our best in class suite of products, we make transit thrive. 

Our teams of world-class engineers, data-scientists, product managers, operations specialists, marketers, transit experts and more bring cutting-edge AI-powered software and innovative technology-enabled operations to our partners across the globe. Founded in 2012, Via builds solutions to digitize, automate, and enable data-driven decision making for entire transportation networks; fixed-route buses, microtransit, paratransit, school buses, autonomous vehicles, and more. 

If you’re excited to be at the forefront of modernizing the future of transportation, are up for solving tough problems, and willing to become/already are a transit nerd, we are the place for you. Even if your past experience doesn’t align perfectly with every qualification in the job description for this role, we encourage you to apply. You may be just the right candidate for this or other opportunities. 

Ready to join the ride?

Via is an equal opportunity employer.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

MaintainX is the world's leading Asset and Work Intelligence platform for industrial and frontline environments. We are a modern IoT-enabled cloud-based tool for reliability, safety, and operations on physical equipment and facilities. MaintainX powers operational excellence for 13,000+ businesses including Duracell, Univar Solutions Inc., Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell.

We recently completed a $150 million Series D funding round, bringing our total funding to $254 million and valuing the company at $2.5 billion.

As the AI GTM Engineer, Growth Marketing, you’ll build and scale the technical foundation behind MaintainX’s acquisition engine. Reporting to the VP, Growth Marketing & Strategy, this is a hands-on, embedded role within the Growth Marketing team, where you will partner directly with marketers to design, build, and launch campaigns powered by automation and AI. You won’t operate as a separate engineering function, you’ll work side-by-side with Customer Marketing, Performance Marketing, SEO & GEO, Lifecycle, and Field Marketing teams to turn campaign ideas into scalable systems and live experiments. This role is critical to building an AI-native, system-driven marketing engine at MaintainX, enabling us to scale acquisition through automation, personalization, and experimentation.

What you'll do:

• Partner with Marketing to Build & Launch Campaigns
• Work directly with Growth marketers to ideate, design, and launch acquisition campaigns
• Translate campaign ideas into scalable systems, automations, and experiments
• Rapidly prototype and iterate on new growth plays (landing pages, outbound, paid, lifecycle)
• Build Systems That Power Campaign Execution
• Develop tooling for programmatic landing pages, ad creative generation, and email workflows
• Enable marketers to launch campaigns faster through reusable systems and automation
• Balance speed (quick tests) with scalability (systems that can be reused)
• Embed AI into Marketing Workflows
• Partner with marketers to identify high-leverage use cases for AI in campaigns
• Build and deploy AI-driven systems for:
• Creative generation and testing
• Personalization across channels
• Outbound messaging and sequencing
• Turn one-off experiments into repeatable campaign infrastructure
• Own Experimentation with Marketing
• Co-design and implement experiments across paid, SEO, lifecycle, and web
• Build tooling to track performance, attribution, and testing outcomes
• Enable faster, data-driven iteration across campaigns

Audience, Segmentation & Personalization

• Partner with marketers to define target audiences and ICP segments
• Build systems to dynamically segment, enrich, and activate audiences across channels
• Enable real-time personalization across the funnel

• Marketing Data & Performance
• Ensure clean data flows from marketing channels into CRM and analytics systems
• Build dashboards and reporting layers for campaign performance and funnel metrics
• Improve visibility into CAC, conversion rates, and pipeline generation 

What you’ll bring:

Technical Skills

• Strong programming ability (Python, JavaScript, or similar)
• Experience working with APIs, automation frameworks, and event-driven systems
• Strong SQL skills and experience with data warehouses (Snowflake, BigQuery, etc.)
• Experience integrating tools like Salesforce, HubSpot, Segment, Webflow, etc.
• Experience deploying AI/LLM workflows into production
• Marketing Systems Experience
• Experience working closely with marketing teams to build and launch campaigns
• Strong understanding of paid media, SEO, lifecycle marketing, and web conversion flows
• Experience building systems that directly support campaign execution and optimization
• Mindset
• Thinks like a marketer, builds like an engineer
• Optimizes for speed, iteration, and measurable impact
• Focused on pipeline and revenue outcomes, not just outputs
• Defaults to automation and scalable systems over manual work

About you:

• 5+ years in growth engineering, marketing engineering, or technical growth roles, with experience building systems that support marketing and acquisition.
• Strong ability to partner with marketers to design and launch campaigns, and translate those into scalable systems and automation.
• Proficiency in SQL and at least one programming language (e.g., Python, JavaScript), with experience building scripts, workflows, or internal tools.
• Experience working with APIs, data pipelines, and integrating marketing tools (e.g., Salesforce, HubSpot, Segment).
• Experience applying AI/LLMs to automate or scale marketing workflows (e.g., content generation, personalization, outbound).
• Solid understanding of paid media, SEO, lifecycle marketing, and experimentation frameworks.
• Strong analytical skills with experience in testing, attribution, and performance measurement.
• Entrepreneurial mindset: thrives in fast-paced, test-and-learn environments with a bias toward speed and execution.
  
  

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrolment 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 make the life of blue-collar workers easier worldwide by creating software that meets their needs and realities. Our product is truly life-changing for 80% of the workforce that doesn’t work behind a desk and needs enterprise-grade software at their fingertips.

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

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 team to match.

The Role:

We're hiring a Talent Operations Manager to build and lead the operational engine behind how MaintainX hires. This is a people management role: you'll lead a team of recruiting coordinators, sourcers, and specialists while owning the systems, processes, and data infrastructure that powers 400+ hires per year.

You'll report to the VP of Talent and partner closely with Talent Partners, People Ops, Engineering, and Finance. This isn't a support function. You're building the operating system for a $2.5B company's talent machine.

What you’ll do: 

People Leadership The most important part of this role you're building a team, not just systems.

• Lead 4–5 direct reports (recruiting coordinators, sourcers, ops specialists) across EPD, GTM, and G&A, growing with the company
• Set clear expectations, run 1:1s, deliver direct feedback, and build development plans for every team member
• Elevate the team beyond scheduling into true ops: data analysis, process optimization, systems ownership, and candidate experience
• Own hiring and performance management who to hire, develop, or move on
• Build career paths that retain strong coordinators and sourcers within MaintainX
• Foster a culture of speed, accuracy, and candidate obsession

Talent Operations Strategy & Execution

• Own the ATS (Ashby, migrating from Greenhouse in April 2026) workflows, automations, approval chains, and reporting
• Build real-time analytics dashboards for pipeline health, funnel conversion, time-in-stage, and capacity
• Drive process discipline: 48-hr stage movement, 24-hr interview feedback, structured debriefs define the standards and enforce them
• Partner with Finance on headcount planning, forecasting, and capacity modeling
• Identify and eliminate manual steps through automation; ensure data integrity and compliance across all systems

Tools & Systems Ownership

• Ashby: Own configuration, workflows, reporting, integrations, and team adoption
• Assessment tools: Partner with engineering on HackerRank/CodeSignal integration into Ashby
• Sourcing stack: Manage Juicebox, LinkedIn Recruiter, and emerging AI tools; drive adoption and measure ROI
• Interview intelligence: Evaluate and roll out Brighthire for recording and notetaking
• Cross-functional: Ensure talent systems integrate with IT, Security, and People Ops; maintain compliance

About You:

• 5+ years in talent operations or recruiting operations, with at least 2 years managing a team of coordinators, sourcers, or specialists.
• You've built or significantly improved talent operations at a high-growth tech company (Series C+ or 200+ employees).
• Deep expertise with a modern ATS. Ashby experience is a strong plus. Greenhouse migration experience is relevant.
• Comfortable with data: you build dashboards, define KPIs, and use metrics to drive decisions, not just report on them.
• You've managed recruiting coordinators before and know how to develop them into strong operations professionals.
• You move fast, communicate directly, and don't wait for permission to fix something that's broken.
• Builder mindset: you'd rather create something from scratch than tweak something that doesn't work.

Even Better if You:

• Experience with Ashby specifically, including workflow automation, custom reports, and API integrations.
• Familiarity with capacity modeling and recruiter workload analysis.
• You've led an ATS migration end-to-end (scoping, data migration, template rebuild, training, adoption tracking).
• Experience with technical assessment tools (CodeSignal, HackerRank) and their ATS integrations.
• SQL or BI tool experience for building custom analytics beyond what the ATS provides.

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. 

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.

As a Data Analyst - GTM, you will use your expertise in analysis & BI to uncover valuable insights informing the marketing strategy at MaintainX. You will make use of data across multiple platforms and partner with various teams to identify opportunities and improve results. While the role is dedicated to Marketing, you will be a member of the larger Data & Analytics team - who are tasked with supporting MX as a whole.

What you’ll do:

• Partner directly with marketing: Embed yourself with the core Marketing stakeholders as their trusted analytics partner—anticipating needs & prioritizing execution
• Accountable for marketing BI infrastructure: Build, maintain & enhance the dashboards, pipelines, and reporting systems that track marketing performance from awareness through won across all data platforms, including Tableau and Salesforce.
• Deliver reliable, recurring marketing reporting: Create and manage weekly/monthly performance reports and executive dashboards that give marketing leadership consistent visibility into funnel metrics, channel performance, and pipeline health.
• Ensure data quality and governance: Partner with the broader Data Engineering team to maintain clean, accurate data flows from marketing platforms (Google Analytics, ad platforms, HubSpot/Marketo, Salesforce) into our analytics stack.
• Enable self-service analytics: Build tools, dashboards, and documentation that empower marketing teams to answer their own questions.
• Support ad hoc reporting requests: Execute various analyses and data pulls to support time-sensitive marketing decisions and campaign reporting needs.
• Budget setting: Support stakeholders with goal setting & related reporting
• Information sharing: Present dashboards, results and recommendations

About you:

• Bachelor's degree in Economics, Commerce, Analytics, Engineering, Computer Science, Statistics, Mathematics, or a similar field

• 4+ years of professional experience as a Business Intelligence Analyst or Marketing Analytics professional in B2B SaaS, with deep expertise in marketing data, funnel metrics, and attribution.
• You're a builder, not just an analyst: You don't just answer questions—you build the systems that make answers accessible to everyone. You think about scalability, governance, and documentation.
• You're a strong communicator: You can translate technical concepts for non-technical stakeholders and document your work clearly for future reference.
• You balance perfection with pragmatism: You know when to ship a working solution quickly versus when to invest in a robust, long-term build.
• Strong proficiency in Tableau and Salesforce
• Excellent SQL skills and experience with database management systems & pipelines

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.

ABOUT ROCKET MONEY 🔮

Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM 🤝

Data Platform Engineers at Rocket Money further our mission by building and maintaining the infrastructure that enables our company to understand our users and products through reliable, scalable data systems. We build the foundational platform that ingests, processes, and serves data—enabling our Data Analytics, Machine Learning, and Software Engineering teams to build data products efficiently. We work closely with engineering teams to ensure data is captured correctly at the source, design resilient pipelines, and create self-service capabilities that empower stakeholders.

The Data Platform team is in an exciting phase of growth and formalization. While we have established tools and processes in place (dbt, BigQuery, Terraform), we're actively building the comprehensive standards, practices, and systems that will scale with Rocket Money as it grows. We're looking for engineers who can take ownership and evolve workflows into reliable, well-documented, production-grade systems. This is an opportunity to shape architectural decisions, establish team practices, and define how Rocket Money works with data for years to come.

We have a strong preference for process-oriented systems thinkers who excel in balancing stakeholder requirements, technical debt, and organizational complexity—and who thrive in environments where they need to create structure from ambiguity. You'll need to be comfortable making principled decisions, taking ownership not just of code but of outcomes, and operating with significant autonomy as we build the platform together.

ABOUT THE ROLE 🤹

In this role, you will:

• Be an end-to-end owner of our data platform infrastructure, ensuring its security, usability, and performance. Work closely with analytics engineers, machine learning engineers, and software engineers to ensure the platform meets their needs.
• Make collaborative decisions about data tooling, pipeline design, and governance, and implement opinionated interfaces that facilitate easy and best-practice-aligned development for other teammates.
• Continuously improve failure rates for data sources by moving alerting “to the left”; i.e. catching and quarantining bugs/failures as close to the source as possible.
• Analyze patterns in how source data is generated, modeled, and consumed. Work with stakeholders to implement the best solution when new data sources are added.
• Take ownership of existing tools and workflows that may be functional but lack formal structure, documentation, or reliability measures. You'll assess what's working, identify gaps, and systematically improve systems to production-grade quality.
• Document everything you build knowing that you're creating the foundation others will build upon. Your runbooks, architecture decision records, and system documentation will become the institutional knowledge of our data platform.
• Proactively communicate with multiple stakeholders on platform capabilities, technical constraints, architectural decisions, project priorities, and platform support.
• Confidently juggle multiple projects and priorities in our fast-paced environment and work with stakeholders and platform teammates to ensure infrastructure changes, migrations, and improvements are delivered on schedule.
• Automate aggressively and deliberately; anything from GitHub Actions to Slack Workflows to minimize repetitive tasks. Effectively judge when the level of effort is appropriate and avoid over-engineering.

ABOUT YOU 🦄

• You have 6+ years of experience working with data infrastructure, data engineering, or platform engineering within a fast-paced environment. You are highly proficient with SQL, Python, and cloud-based Infrastructure-as-Code (e.g. Terraform), and comfortable working with bash/shell scripting.
• You have 4+ years of production experience with modern data stacks including data warehouses (BigQuery, Snowflake, or Redshift), orchestration tools, managed ingestion services, and infrastructure as code (Terraform, Pulumi, or CloudFormation).
• You have 2+ years of experience building and maintaining production data pipelines, whether through ELT tools, custom applications, streaming systems, or event-driven architectures.
• You've successfully "professionalized" data infrastructure before—taking scrappy, working systems and evolving them into reliable, well-documented, production-grade platforms. You can articulate what "production-ready" means in a data context.
• You have a bias toward action and aren't paralyzed by imperfect solutions. You understand when "good enough for now with a plan to improve" beats "perfect but six months late." You ship incrementally and iterate based on feedback.
• You're comfortable being the first person to tackle a problem. You don't need extensive mentorship or detailed tickets—you can take a high-level business need and figure out the technical approach. That said, you know when to ask for help and can articulate what you need.
• You take ownership seriously—not just of writing code, but of outcomes. When you build something, you implement monitoring, write runbooks, create alerts, and ensure it can be maintained by others. You think about the full lifecycle of systems, not just initial delivery.
• You have strong opinions, weakly held. You can make and defend architectural decisions, but you're open to feedback and willing to change course when presented with better information. You can disagree and commit.
• You understand that "building from scratch" doesn't mean rejecting existing tools—it means thoughtfully selecting, configuring, and integrating managed services and open-source solutions to create a cohesive platform. You know when to build and when to buy.
• You have experience making big changes to critical data infrastructure. You’ve successfully re-architected, migrated, or upgraded data tooling that has strict SLA’s, without significantly affecting downstream stakeholders.

Bonus points if:

• You have led a data infrastructure migration or modernization project where you defined the vision, approach, and implementation.
• You have created internal tools, frameworks, or CLIs that improved how teams work with data (not just one-off scripts).
• You have established data platform best practices like CI/CD workflows, testing frameworks, or observability standards where none existed.
• Expertise in cloud platforms and technologies analogous to our stack:
  • Our stack: GCP (BigQuery, Datastream, Cloud Functions, Vertex AI, GCS), dbt, Fivetran, Postgres, Python, Terraform, Looker, Retool
  • Analogous experience: AWS (Redshift, DMS, Lambda, SageMaker, S3) or Azure (Synapse, Data Factory, Functions), Snowflake, Airbyte/Stitch, infrastructure as code tools, BI platforms

WE OFFER 💫

• Health, Dental & Vision Plans
• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• Learning & Development Opportunities
• Tuition Reimbursement
• Unlimited PTO
• Daily Lunch, Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Salary range of $160,000 - $200,000 + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

ABOUT THE WORK ENVIRONMENT

This role is in office at our corporate headquarters in the Brickell area of Miami, Florida. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

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: 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

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

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#LI-KC1

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:

Rumble Cloud is seeking a Principal Database Architect to own the architecture, technical direction, and successful delivery of our Database as a Service (DBaaS) offering within our public cloud platform. This role will take over a product already in active development and guide it through hardening, integration, launch, and global scale-out. You will be responsible for shaping the long-term technical roadmap of the service, ensuring it is secure, reliable, performant, and operable at scale for customers worldwide. You will work closely with our development team, engineering team, and early adopter customers to refine the design, drive high-quality implementation, and build the patterns and practices that future engineers will follow.

Key Responsibilities:

• Own the end-to-end architecture of the DBaaS product, including multitenancy, high availability, disaster recovery, backup/restore, observability, and security.
• Review and influence existing epics, stories, and technical designs, identifying gaps and driving improvements.
• Define and maintain architectural standards and patterns for databases across our public cloud (provisioning, configuration, lifecycle management, monitoring, security).
• Work closely with platform, networking, and security teams to integrate DBaaS into our cloud infrastructure, including identity, networking, billing, self-service, and automation.
• Collaborate with Product Management to align technical roadmap with product vision, SLAs/SLOs, and customer requirements.
• Serve as the highest-level technical escalation point for DBaaS-related issues in development, staging, and production environments.
• Support onboarding and success of early “friendly” customers: assist with deployments, performance tuning, troubleshooting, and architecture guidance.
• Define and evolve operational runbooks, incident response patterns, and SRE practices for the DBaaS platform.
• Mentor and coach other engineers and architects as we build an internal team around the service, raising the overall bar for database and data platform expertise.
• Establish and enforce security, compliance, and data protection best practices for the DBaaS offering (encryption, access control, auditing, regulatory considerations).
• Participate in capacity planning and cost optimization, ensuring the service is economically viable at scale.
• Conduct periodic architecture reviews and post-incident reviews, driving continuous improvement in reliability and customer experience.
• Support and advise internal teams on the operation, performance, and troubleshooting of existing database clusters, in addition to primary ownership of the DBaaS platform.

Required Skills & Experience:

• Expert-level experience in database engineering, data platforms, or infrastructure, with significant ownership of production database systems or services.
• Deep expertise with at least one major relational database engine (e.g., PostgreSQL, MySQL, MariaDB, or similar), including replication, backup/restore, performance tuning, and operational best practices.
• Solid understanding of cloud infrastructure concepts, including compute, networking, storage, and security in public cloud or large private cloud environments.
• Experience integrating databases or DBaaS-like offerings with cloud control planes, APIs, and automation/orchestration systems.
• Strong background in reliability engineering for data services (monitoring, alerting, SLOs, incident management, capacity planning).
• Familiarity with security and compliance requirements for database services (encryption at rest/in transit, access control, auditing, data retention, regulatory considerations).
• Proficiency with infrastructure-as-code and automation tools (e.g., Terraform, Ansible, or similar) and comfort working with CI/CD pipelines.
• Scripting or programming skills (e.g., Python, Go, Bash or similar) for automation, tooling, and integration.
• Proven track record of technical leadership: influencing designs across teams, mentoring engineers, and making clear trade-off decisions.
• Excellent communication skills, with the ability to work effectively with external vendors, internal stakeholders, and customers.

Nice to Have (Preferred Skills):

• Strong, hands-on expertise with both MySQL and PostgreSQL databases.
• Experience designing or operating multi-tenant, high-availability, and distributed database architectures in a cloud or large-scale environment.
• Experience designing or operating a DBaaS offering (e.g., Amazon RDS/Aurora, Azure Database, Cloud SQL, or similar managed services).
• Knowledge of NoSQL or specialized data stores (e.g., Redis, MongoDB, Cassandra) and when to apply them.
• Experience in Kubernetes-based data workloads, operators, or stateful services.
• Familiarity with multi-region architectures, data residency, and geo-replication patterns.
• Exposure to observability stacks (e.g., Prometheus, Grafana, ELK/OpenSearch, OpenTelemetry) for data services.
• Relevant certifications in databases, cloud architecture, or security are a plus.

Qualifications:

• Demonstrated success owning the architecture and technical direction of a mission-critical platform or service.
• Strong customer empathy and a track record of working directly with users or customers to solve complex technical problems.
• Ability to operate at both strategic and hands-on levels, from roadmap and design reviews down to debugging complex production issues.

Annual Compensation Range: 

$185,000 -  $265,000 USD base + benefits + equity (If based in the United States)

$170,000 -  $200,000 USD base + benefits + equity (If based in Canada)

Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience. This posting refers to an active vacancy within the organization.

Rumble Cloud is seeking a Principal Software Architect (Python) to own the design and hands-on implementation of our Self-Service Cloud Portal and Cloud Console, the primary interfaces customers use to manage their cloud environments. Our stack is built on OpenStack and Ceph, with a customer surface that includes a self-service portal, an enhanced open-source cloud console, and integrated CRM/ERP-based billing and account management.

This role combines architectural leadership with significant day-to-day coding. You will define the architectural roadmap, guide the team in building scalable, maintainable services, and personally deliver high-quality Python code. Partnering with backend, Golang, and React/TypeScript teams, you will ensure cohesive design, strong performance, and an excellent developer and customer experience, while helping prioritize work and mentoring engineers without direct people management responsibilities.

Key Responsibilities
Architecture and Technical Vision

• Define, document, and communicate architectural patterns, standards, and best practices for backend services, microservice integration, and portal-wide interoperability.
• Evaluate the current codebase (including CRM/billing integration and cloud console frontend) and chart a practical path toward a scalable, maintainable architecture.
• Design architectures that support multi-tenant SaaS scale, observability, reliability, and future extensibility.
• Maintain architecture diagrams, service specifications, and operational design records for cross-functional transparency.
• Collaborate with platform and infrastructure teams to align service design with Rumble Cloud OpenStack/Kubernetes-based runtime environment.

Hands-On Development
• Contribute clean, efficient Python code (e.g., FastAPI, SQLAlchemy, Jinja2) for key backend components; this role requires sustained coding, not occasional guidance.
• Build and extend backend functionality that interfaces with RESTful APIs and SQL databases.
• Partner with Golang service teams and frontend developers (React/TypeScript) for seamless integration across the product ecosystem.
• Analyze product requirements and implement new features end-to-end, proactively identifying and addressing potential issues.

Planning, Prioritization, and Delivery
• Translate product-level requirements and customer needs into actionable roadmaps, epics, and tickets.
• Help prioritize features and technical debt based on impact, dependencies, and realistic timelines.
• Drive continuous improvement in the delivery lifecycle, including code review practices, release automation, and GitHub/GitHub Actions workflows.
• Help design and implement an SDLC and SSDLC with repeatable processes for planning, development, testing, deployment, and security review.
• Identify risks and blockers early and work with stakeholders to resolve them before they affect delivery.

Mentorship and Team Guidance
• Guide senior and mid-level engineers through design reviews, pair programming, and technical planning.
• Document designs and mentor engineers to grow their architectural thinking and engineering skills.
• Communicate technical decisions and trade-offs clearly to both engineering and non-technical stakeholders.
• Collaborate with other teams and departments on integrating new functionalities and services.

Qualifications
Required Qualifications
• Expert-level Python development experience, including SQLAlchemy, Jinja2, and modern API frameworks (e.g., FastAPI, Flask, Gunicorn).
• Strong experience designing and implementing RESTful APIs and resource servers, including working with incomplete or minimal SDK documentation.
• Experience designing and implementing authentication and authorization mechanisms such as OAuth2 and OpenID Connect.
• Strong understanding of relational databases (PostgreSQL, MySQL), ORM patterns, and schema design.
• Demonstrated experience architecting distributed systems or service-oriented architectures at production scale.
• Proficiency with object-oriented and functional programming concepts.
• Proficiency with containerized development (Docker) and cloud-native deployment environments (Kubernetes).
• Hands-on familiarity with Git-based workflows, including GitHub, pull requests, and CI/CD pipelines.
• Ability to synthesize product-level requirements into actionable technical roadmaps and system designs.
• Excellent communication and mentoring skills, with a track record of guiding engineering teams toward delivery excellence.
• Demonstrated ability to act as a hands-on technical leader while maintaining architectural oversight across multiple services and teams.
• Strong problem-solving and debugging skills across complex, distributed systems.
• Ability to work effectively in a fast-paced environment, balancing immediate delivery needs with long-term architectural goals.
• Willingness to learn, be challenged, and contribute in a dynamic, fast-paced environment, with a passion for cloud-native development and open-source tooling.

Preferred Qualifications
• Strong Go (Golang) programming experience, with the ability to contribute to and review Go-based services.
• Familiarity with OpenStack APIs, services, or the broader OpenStack ecosystem.
• Familiarity with Ceph or other distributed storage systems.
• Experience with the Odoo ERP/CRM platform, including module development, customization, or integration into SaaS products.
• Background working with or extending open-source cloud console or dashboard projects.
• General familiarity with public cloud concepts (e.g., AWS, Google Cloud, Microsoft Azure).
• Experience building SaaS in a multi-tenant environment, including tenant isolation, usage metering, and self-service provisioning.
• Experience with OpenStack or Kubernetes API development, control panel design/architecture, and test-driven development with Pytest.
• Experience working within public cloud / IaaS products
• Intermediate experience or higher in 1 or more programming languages (ie: Go, C, C++, Python, Rust)
• Experience working with Rocky or Ubuntu in live environments.
• Experience working with MySQL and/or PostgreSQL 

Annual Compensation Range: 

$150,000 - $186,000 CAD base + benefits + equity (If based in Canada)

$160,000 - $195,000 USD base + benefits + equity (If based in the United States)

Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience.

This posting refers to an active vacancy within the organization.

Compass is seeking a highly motivated and detail-oriented Director of Research to join our team in South Florida. The role is critical in providing data-driven insights to support strategic decision-making for our owner/developer clients, leadership, and project management teams. The ideal candidate possesses a deep knowledge of the South Florida Market, strong analytical skills, a passion for real estate, and the ability to manage an Analyst - helping to transform raw data from a variety of sources into actionable research for our stakeholders. 

Job Responsibilities:

• Establishing a Strong Point of View
• Possess a deep understanding of real estate submarkets in Miami Dade, Broward, and Palm Beach Counties
• Data Collection and Analysis:
• Gather and analyze data from various public and private sources, including listing feeds, Department of Buildings, Department of Finance, industry publications, other internal data sets, and phone calls to competitive buildings.
• Oversee Analyst, who will assist in maintaining databases for efficient data management for our external facing deliverables and internal CRM processes. 
• Ensure data accuracy and integrity through both manual and automated quality control procedures. 
• Market Research and Competitive Analysis
• Conduct comprehensive market research to identify industry trends, categorize the competitive landscape, and highlight potential opportunities. 
• Analyze competitor strategies, market share, and product offerings to provide insights. 
• Prepare reports and presentations based on these research findings and recommendations. Deliverables will include: Market Reports for Sales and Leasing Comparable Sets, Future Supply (Pipeline Reports), Amenity Studies, Due Diligence Reports, and ad hoc reporting as needed. 
• Reporting and Visualization:
• Create, maintain, and review concise market reports, dashboards, and other deliverables to communicate research findings to stakeholders.
• Develop and maintain key performance indicators (KPI’s) to keep track of market trends and performance. 
• Present research findings to internal teams and senior management. 

Qualifications:

• At least 5 years’ experience in research/analysis in the South Florida market
• Bachelor’s degree in relevant field (Real Estate, Finance, Political Science, Computer Science, Statistics, etc.)
• Proficient technological knowledge of the Microsoft Suite (heavy emphasis on Excel), Google Sheets, Data Transformation, ETL Processes
• Ability to think critically and outside the box to solve problems in a fast-paced environment. 
• Strong written and verbal communication skills. 
• Ability to communicate and present to internal teams and clients on the findings of our research report process, and the feasibility of achieving team or client goals in relation to the competitive market. 

Additional Skills (Nice to Have):

• Advanced Excel experience including Power Query, and DAX.
• Working knowledge of other programming languages (SQL, Python, etc.). 
• Working knowledge of visualization tools (PowerBI, Tableau). 
• Experience with CRM tools (Salesforce, Spark, etc.)

Role Overview

The Director, Demand Generation owns the strategy, execution, and continuous improvement of Upshop’s global demand generation engine. This role is accountable for driving high-quality pipeline through scalable, measurable, and creative demand programs that support Upshop’s growth across grocery and convenience retail markets.

Reporting into the Growth organization, this leader partners closely with Product Marketing, Sales, Revenue Operations, Customer Success, and Partners to translate Upshop’s story into demand, convert interest into pipeline, and optimize performance across the full funnel.

Key Responsibilities

Demand Strategy & Execution

• Own Upshop’s end-to-end demand generation strategy, from awareness through MQL, SQL, and pipeline contribution
• Design, execute, and optimize multi-channel demand programs including digital, ABM, outbound support, events, and partner-led campaigns
• Move beyond templated campaigns—continuously test, iterate, and introduce new ideas when performance stalls
• Translate Upshop’s value proposition into persona-based, industry-specific demand motions

Pipeline & Performance Management

• Establish clear goals and reporting for MQLs, SQLs, pipeline contribution, and conversion rates
• Partner with Revenue Operations to ensure strong attribution, measurement, and visibility into demand performance
• Separate and manage demand goals for new customer acquisition and expansion within existing customers
• Use data and insights to prioritize investments and continuously improve ROI

Systems, Tools & Automation

• Own the demand tech stack and workflows, including marketing automation and CRM integrations
• Leverage tools such as HubSpot, paid media platforms, LinkedIn, and emerging/dark social channels to scale demand efficiently
• Build repeatable, automated programs that learn and improve over time

Cross-Functional Collaboration

• Partner closely with Product Marketing to activate messaging, positioning, and customer reference stories
• Align with Sales and Customer teams to ensure tight MQL/SQL definitions and smooth handoffs
• Collaborate with Partner and Alliances teams to drive partner-sourced and partner-influenced demand

Team Leadership & Growth

• Lead, mentor, and develop a growing demand generation team
• Establish clear priorities, expectations, and accountability across the team
• Build a high-performance culture that balances creativity, rigor, and ownership

Qualifications & Experience

• 8–12+ years of experience in demand generation, growth marketing, or marketing operations, with at least 3+ years in a leadership role
• Proven track record of building and scaling demand programs in B2B SaaS or technology environments
• Strong understanding of marketing automation, campaign architecture, and funnel analytics
• Experience supporting sales-led and ABM motions
• Comfortable operating in environments without heavy process or templates—able to create structure where needed
• Experience in retail, grocery, or multi-location industries is a plus (but not required)

What Success Looks Like

• A clear, scalable demand engine that consistently drives qualified pipeline
• Improved conversion rates and visibility across the funnel
• Strong alignment and trust with Sales, Product Marketing, and Revenue teams
• A motivated, high-performing demand generation team that continues to grow with the business

Why Upshop

Upshop is redefining how retailers operate by connecting demand, supply, and execution at scale. This role offers the opportunity to shape how Upshop takes its story to market, influence growth strategy, and build a demand organization designed for long-term impact—not just short-term campaigns.

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 Us

OpenFX is on a mission to move money as freely as data, unrestricted by time zones, banking hours, or legacy systems. We are building the infrastructure that will power the next generation of cross-border payment systems for institutions. The team's execution has been exceptional, and we're scaling at a remarkable pace. Our stellar early team comes with experience in companies like J.P. Morgan, Goldman Sachs, FalconX, Paypal, Affirm, Polygon, Kraken, Nium & others. We’re backed by Accel, Lightspeed, NfX and other top-tier investors.

Role Overview

We are seeking a talented Analytics Lead to build and lead our analytics function from the ground up. This role is crucial for establishing our core data infrastructure and delivering actionable insights across all teams to power strategic decision-making and drive business growth.

Key Responsibilities:

• Data Infrastructure & Governance:
  
  
• Design and implement our core analytics infrastructure, including data warehousing, ETL processes, and visualization tools.
• Establish data quality standards, automate routine reporting, and create self-service analytics tools to ensure data accuracy and accessibility.

• Business Intelligence & Insights:
  
  
• Create and maintain dashboards for key business metrics across operations, finance, partnerships, and growth teams.
• Develop comprehensive analytics for transaction monitoring, liquidity optimization, platform performance, and revenue forecasting.
• Analyze user behavior and transaction patterns to drive growth strategies.

• Risk & Financial Analytics:
  
  
• Build analytics models for pricing optimization and financial planning.
• Create risk monitoring systems and fraud detection analytics to ensure platform security.

• Strategic Partnership & Team Leadership:
  
  
• Partner with leadership to provide data-driven insights for strategic decision-making.
• Build, manage, and mentor a high-performing team of analysts as the organization scales.

What we are looking for

Must-haves:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• 6+ years of experience in analytics or data science roles.
• Strong programming skills in Python and SQL.
• Experience with modern data stack tools (e.g., Snowflake, dbt, Airflow).
• Proven experience building and maintaining large-scale data pipelines.
• Excellent communication skills with the ability to present complex data to non-technical stakeholders.
• Strong problem-solving skills and meticulous attention to detail.

What helps you stand out:

• A Master's degree in a relevant field.
• Experience in a fintech or financial services environment.
• Direct experience with crypto/blockchain analytics.
• Startup experience is highly preferred.
• Expertise with data visualization tools like Tableau or Looker.

What We Offer

• Competitive salary and benefits package.
• Equity in a rapidly growing company.
• Opportunity to work in a fast-paced startup at the forefront of fintech innovation.
• Opportunity to make a significant impact on global financial infrastructure
• Collaborative work culture with emphasis on personal and professional growth.

We are committed to building a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. 

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.

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.

We are seeking a Data Engineer to join our dynamic team. The ideal candidate is an enthusiastic problem-solver who excels at building scalable data systems and has hands-on experience with Databricks, Looker, AWS, MongoDB, PostgreSQL, and Terraform. You will work alongside sales, customer success and engineering to design, implement, and maintain the operational data infrastructure that powers our analytics and platform offerings.

What you'll do:

1. Data Pipeline & Integration
• Design, build, and maintain end-to-end data pipelines using Databricks (SparkSQL, PySpark) for data ingestion, transformation, and processing.
• Integrate data from various structured and unstructured sources, including medical imaging systems, EMRs, Change-Data-Capture from SQL Databases, and external APIs.
2. Analytics & Visualization
• Collaborate with the analytics team to create, optimize, and maintain dashboards in Looker.
• Implement best practices in data modeling and visualization for operational efficiency.
3. Cloud Infrastructure
• Deploy and manage cloud-based solutions on AWS (e.g., S3, EMR, Lambda, EC2) to ensure scalability, availability, and cost-efficiency using IaC tooling (Terraform and Databricks Asset Bundles).
• Develop and maintain CI/CD pipelines for data-related services and applications.
4. Database Management
• Oversee MongoDB and PostgreSQL databases, including schema design, indexing, and performance tuning.
• Ensure data integrity, availability, and optimized querying for both transactional and analytical workloads.
5. Security & Compliance
• Adhere to healthcare compliance requirements (e.g., HIPAA) and best practices for data privacy and security.
• Implement error handling, logging, and monitoring frameworks to ensure reliability and transparency.
• Implement data governance frameworks to maintain data integrity and confidentiality.
6. Collaboration & Documentation
• Work cross-functionally with data scientists, product managers, and other engineering teams to gather requirements and define data workflows.
• Document data pipelines, system architecture, and processes for internal and external stakeholders.

About you:

• Education & Experience
• 7+ years of professional experience in data engineering or a similar role.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Technical Skills
• Databricks (Spark): Proven expertise in building large-scale data pipelines.
• Looker: Experience in creating dashboards, data models, and self-service analytics solutions.
• AWS: Proficient with core services like S3, EMR, Lambda, IAM, EC2, etc.
• MongoDB & PostgreSQL: Demonstrated ability to design schemas, optimize queries, and manage high-volume databases.
• SQL & Scripting: Strong SQL skills, plus familiarity with Python, Scala, or Java for data-related tasks.
• Soft Skills
• Excellent communication and team collaboration abilities.
• Strong problem-solving aptitude and analytical thinking.
• Detail-oriented, with a focus on delivering reliable, high-quality solutions.
• Preferred
• Experience in healthcare or imaging (e.g., DICOM, HL7/FHIR).
• Familiarity with DevOps tools (Docker, Kubernetes, Terraform) and CI/CD pipelines.
• Knowledge of machine learning workflows and MLOps practices.

The base salary range for this position is $120,000 - $180,000.  Our job postings cover multiple career levels and individual compensation will depend on various factors, including qualifications, skills, experience, location, and applicable laws. In addition to base salary, this role is eligible to participate in our equity incentive and competitive benefits plans.