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! 

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! 

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.

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 such, we’re hiring an Acquisition Lead to own and optimize our inbound growth engine across paid and organic channels, reporting to the VP of Growth Marketing & Strategy. You will lead a group of seasoned performance marketers and be accountable for pipeline, operational efficiency, and forecast accuracy.

Your mandate is simple:

• Build a scalable, AI-native acquisition engine that drives predictable, revenue-efficient pipeline growth.
• Allocate capital with precision, continuously optimizing for pipeline, CAC, and long-term return.

What you’ll do:

• Revenue & Performance Ownership

• Own inbound pipeline and multi-quarter growth forecasting, grounded in conversion, velocity, and revenue assumptions.
• Deliver performance predictability — proactively managing variance, efficiency, and capital allocation.

• Leadership & Standards
  • Lead and elevate senior performance marketers by setting uncompromising standards for rigor, accountability, and strategic clarity.
  • Design structured planning, experimentation, and review cadences that eliminate siloed optimization and drive portfolio-level thinking.
• Operational Discipline
  • Implement documented channel strategies, revenue-linked scorecards, and defined experimentation frameworks before scaling spend.
  • Ensure clean attribution alignment, executive-ready reporting, and decisions grounded in measurable business impact, not channel optics.
• Channel & Portfolio Mastery
  • Maintain deep fluency across Paid Search, Paid Social, SEO/GEO, and cross-channel budget modeling, with the ability to audit, diagnose, and reset strategy when needed.
  • Optimize at the portfolio level, balancing efficiency curves and incremental return across channels.
• AI as Competitive Advantage
  • Build AI-enabled workflows that materially improve velocity, insight generation, forecasting accuracy, and operator leverage.
  • Use AI to increase experimentation speed and performance efficiency, not as embedded infrastructure.

About you:

• 7+ years in B2B acquisition/performance marketing (SaaS preferred).
• 2+ years managing performance marketing teams.
• Demonstrated success scaling inbound pipeline with multi-million dollar budgets.
• Deep expertise across Google Ads, LinkedIn, paid social, and SEO.
• Demonstrated experience scaling pipeline efficiently (not just traffic).
• Strong analytical capabilities (Excel/Sheets proficiency required).
• Experience with BI/reporting tools (Tableau, Looker, etc.).
• Strong understanding of attribution models and funnel metrics.
• Clear track record of experimentation and iterative optimization.
• You’ve thrived in demanding environments with outsized impact and have experienced what great execution looks like at speed.
• AI Fluency (Required)

• Daily user of AI tools (ChatGPT, Claude, Perplexity, etc.).
• Experience applying AI to creative generation, data analysis, or workflow automation.
• Strong prompting skills and ability to QA AI outputs.
• Bias toward automation and operational leverage.

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 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.

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.

Summary
Overview: Detail-oriented, bilingual (Spanish-English) professional responsible for data management, access control, data alignment, reporting, licensing partner enablement, licensing contract interpretation, and process improvement within Brand Comply (Octane5).

Responsibilities:

• Reconcile licensee sales submissions with Brand Comply reports and resolve data    discrepancies.
  • Interpret licensing contracts; verify contracts and add PPTC data to Brand Comply.
  • Manage user access and onboard new licensing/licensee team members
  • Add and maintain contracts/rights (channels, products, territories) with accurate metadata.
  • Excel-powered data management and reporting; create dashboards (Looker/Tableau-like) and monthly management reports.
  • Host partner training; assist partners with upload issues and ensure smooth data submissions.
  • Drive process improvements and ensure compliance; document processes for internal teams and partners.

Skills & Qualifications

• Bilingual (Spanish and English) spoken communication skills are mandatory.
  • Data verification and rights management
  • Experience with data visualization, reporting, and onboarding/training
  • Understanding of licensing business models or licensing contract interpretation
  • Experience granting user access and managing entitlements
  • Advanced Excel skills (formatting, formulas, PivotTables); familiarity with Looker/Tableau or similar tools
  • Detail-oriented with strong problem-solving, communication skills, openness to learn and leverage AI functionalities

Experience

• 1+ years in licensing operations, licensing software use or related field
  • Familiarity with licensing contracts across multiple product categories, territories, and channels preferred

Performance Metrics
• Accuracy/timeliness of PPTC updates and contract verifications
• Reconciliation accuracy for licensee sales data
• Quality of monthly management reports and dashboards
• Effectiveness of partner training and issue resolution
• Impact of process improvements and system updates

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.

Product Marketing Lead
Growth Marketing

Location: Miami, Toronto

About Opendoor

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

The Role

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

What you’ll do

• Go-To-Market Strategy and Execution

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

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

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

• Positioning, Messaging, and Value Propositions

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

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

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

• Competitive Intelligence (AI-Assisted)

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

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

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

• Product Marketing as Source of Truth

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

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

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

• Cross-Functional Collaboration

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

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

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

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

• Enablement, Messaging, and Content

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

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

• Market Insights and Voice of the Customer

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

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

• Budget, Leadership, and Process Improvement

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

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

What success looks like

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

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

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

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

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

Qualifications

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

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

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

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

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

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

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

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

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

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

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

Product Marketing Lead
Growth Marketing

Location: Miami, Toronto

About Opendoor

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

The Role

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

What you’ll do

• Go-To-Market Strategy and Execution

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

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

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

• Positioning, Messaging, and Value Propositions

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

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

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

• Competitive Intelligence (AI-Assisted)

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

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

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

• Product Marketing as Source of Truth

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

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

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

• Cross-Functional Collaboration

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

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

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

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

• Enablement, Messaging, and Content

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

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

• Market Insights and Voice of the Customer

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

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

• Budget, Leadership, and Process Improvement

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

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

What success looks like

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

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

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

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

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

Qualifications

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

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

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

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

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

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

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

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

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

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

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

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 Us

Dorsia is at the forefront of hospitality-tech innovation, redefining how the world gains access to the most in-demand restaurants, events, and experiences. By fusing cutting-edge technology with the art of luxury hospitality, we empower our members to secure impossible-to-get reservations while providing operators with unprecedented levels of control, visibility, and revenue optimization.

As a fast-growing startup backed by over $50M from top-tier investors including Index Ventures, along with strategic industry partners such as Major Food Group (Carbone, Torissi, etc.), Groot Hospitality (Casadonna, Papi Steak, etc.), and Gracious Hospitality (COTE, Coqodaq, etc.), we are rapidly expanding our footprint and reshaping the global hospitality landscape with proven expertise. We’re adding exceptional talent to drive our next phase of growth, and that’s where you come in.

About the Role

Dorsia is hiring a Head of Client Success to own the full hospitality partner lifecycle – onboarding, retention, expansion, and strategic account growth. You'll serve as Dorsia's most senior partner-facing operator and lead a small, internationally distributed team of Client Success Managers.

This role sits at the intersection of hospitality expertise, commercial acumen, and operational rigor. You'll be hands-on with strategic accounts while building the playbooks, tooling, and team capability to scale the function. Success in this role is measured by growth in partner revenue, inventory supply, and satisfaction across Dorsia's restaurant portfolio.

You'll report directly to the C-suite and operate as the internal authority on what partners need, how they're performing, and where the business should invest to strengthen those relationships.

What You’ll Own

Strategic Account Management & Partner Growth

• Own the full partner relationship lifecycle, from onboarding through long-term retention and commercial expansion
• Lead Quarterly Business Reviews (QBRs) and strategic sessions with partners to drive retention, deepen engagement, and identify growth opportunities
• Ensure accounts have strong fill rates and maintain or exceed revenue goals 
• Serve as the senior escalation point for partner issues, ensuring resolution within SLA and maintaining trust at every tier
• Partner with Analytics and Finance to surface upsell and optimization opportunities across the portfolio

Partner Onboarding

• Architect and continuously refine a best-in-class onboarding experience for new restaurant partners joining the Dorsia platform
• Ensure every partner goes live with confidence, clarity, and a deep understanding of how to maximize their relationship with Dorsia
• Build scalable onboarding playbooks that grow with the team across markets and geographies

Training & Education

• Champion ongoing partner education – new features, product updates, platform best practices, and operational guidance
• Develop training resources, partner communications, and feedback loops that keep restaurant operators engaged and informed
• Position Dorsia as an indispensable operational partner, not just a technology vendor

Inventory Growth

• Own the supply side of Dorsia’s marketplace, ensuring inventory from every partner remains consistent, healthy, and growing over time
• Drive upsell conversations with partners to deepen coverage, unlock premium inventory, and increase mutual value
• Be boots on the ground in our markets to build strong relationships with operators, GMs, and ownership groups
• Leverage your understanding of market dynamics, including openings, events and seasonal programming, to proactively identify which partners, events and opportunities Dorsia should be onboarding

Client Success & Reporting

• Build and maintain dashboards and reporting cadences that give leadership clear visibility into partner health, account tier performance, and CS team metrics
• Own the metrics that matter: partner health scores, inventory coverage, onboarding completion, upsell conversion, churn, QBR completion, and NPS
• Implement feedback loops that surface partner insights back to Product to inform the feature roadmap
• Build and maintain SLA compliance ≥95% across partner-facing workflows and booking resolution

Team Leadership

• Manage and develop a small, international team of CSMs (currently 2 US-based and 1 UK-based) with a clear vision for scaling
• Set performance standards, run structured 1:1s, conduct quarterly reviews, and build a culture of accountability and excellence
• Hire, onboard, and develop talent who bring genuine hospitality expertise and embody Dorsia’s values
• Define team SOPs, success metrics, and repeatable execution frameworks that scale as the portfolio grows

The Winning Recipe

What You Bring

• 7+ years of experience in client success, account management, or partnerships — with a meaningful portion in hospitality, food & beverage, or hospitality-tech
• Deep fluency in how restaurants operate: F&B economics, reservation dynamics, staffing structures, revenue cycles, and the unique pressures operators face
• A history of leading and growing high-performing CS or account management teams, including cross-functional and international ones
• Exceptional relationship management skills — you build trust quickly, navigate difficult conversations with grace, and leave partners feeling genuinely supported
• Demonstrated success driving upsell, expansion, and retention across a portfolio of commercial accounts
• Experience managing or collaborating with international teams; comfort working across time zones and cultural contexts
• Proven track record of leading QBRs and managing tiered commercial account portfolios with measurable retention and growth outcomes
• Strong operational instincts — you build structure, document everything, and create repeatable processes that scale
• Metrics-first mindset with the ability to design and own reporting frameworks and build dashboards
• Hands on and proactive communication for partners and team members — you are a high touch operator, you follow through, and consistently close the loop
• Highly organized with strong prioritization skills; comfortable managing competing demands across a fast-moving, tiered portfolio

Bonus Points

• Experience at a hospitality-tech, SaaS, or marketplace platform company
• Prior experience building a CS function from an early stage
• Familiarity with Looker, Intercom, or similar partner-facing tooling
• Existing relationships within the premium restaurant or hospitality industry

Compensation & Benefits

• Competitive salary tailored to your experience and the market
• Equity
• Commission
• Flexible PTO
• Medical, dental, and vision insurance
• 401(k)
• FSA
• Commuter benefits
• Access to One Medical, Teladoc, Talkspace, Kindbody
• In-office lunch 3 days a week
• Employee Dining Credits

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.

Please note: We strongly encourage team members to be in the office 1-2 days per week, though there is no formal in-office requirement.

ABOUT THE TEAM 🤝

Analytics Engineers at Rocket Money further our mission by helping our company understand our users and products through the lens of data. We build data models that uncover how our customers interact with our products, generate cashflows, and traverse our user experiences. We work with our product and engineering teams to understand the data our applications generate, model it in useful, understandable ways, and make that data available for efficient insight generation.

Our team values:

• Collaboration - We're team players who excel at cross-functional partnership with product and engineering teams
• Impact - We transform raw data into strategic insights that drive business decisions
• Growth - We continuously refine our craft while supporting each other's professional development

We're growing our team and are looking for an Analytics Engineering Team Leader who is committed to building an equitable, healthy work environment where team members thrive. In this role, you'll elevate our Analytics Engineering practice, mentor talented engineers, be a hands on contributor to our dbt and LookML code bases, and champion data-driven decision making across the organization. You'll help shape how Rocket Money uses data to understand our customers and products while building a world-class team.

Our Tech Stack: BigQuery, dbt, Looker, Amplitude, Fivetran, Datadog, git, Deepnote

IN THIS ROLE, YOU'LL:

• Own ambitious yet achievable quarterly roadmaps that drive our business forward by building tooling that allows the team to deliver faster, more consistent work and directing cross-team analytics efforts that inform strategy.
• Lead and manage a team of 4-6 analytics engineering professionals, creating processes for autonomous operation with cross-functional teams while maintaining high quality standards and accountability and supporting individual growth.
  • Evolve team development standards, including technical skill frameworks, career ladders, and learning pathways. Create a culture of continuous improvement through code reviews, knowledge sharing sessions, and mentorship programs that elevate the entire team's capabilities.
  • Champion data quality and attention to detail as core team values, establishing review processes and quality gates that ensure the accuracy and reliability of analytics outputs while still shipping iteratively and building stakeholder trust through visible progress.
• Foster strong working relationships with other leaders at the company, advocating for your team's involvement at the right time and driving high quality analytics delivery across teams.
• Address problems with performance directly and make decisions based on what's best for our users, team members, and business. Create highly functional teams and processes that make best use of data analytics resources.
• Be accountable for making, measuring, and delivering on team commitments, as well as pivoting when necessary to keep the team focused on the most impactful work.
• You're energized by problems that don't come with clearly defined requirements, and you know how to work with stakeholders to scope what's actually measurable.

ABOUT YOU 🦄

Technical Leadership

• You have hands-on experience with the modern analytics stack (e.g., dbt, Snowflake/BigQuery, Looker/Tableau/Databricks/Omni) and can guide technical decisions while establishing quality standards and review processes that ensure data accuracy.
• You have deep expertise in analytics engineering and a strong understanding of data systems and processes, especially delivery of maintainable/scalable models that meet stakeholder needs and support self service. You have experience implementing analytics engineering best practices (version control, testing, documentation, CI/CD) and can balance delivery speed with analytical rigor.
• You have strong software engineering fundamentals and the curiosity to dive into application codebases to understand data generation at its source. You believe analytics engineers should understand the full data lifecycle - from how events are instrumented in production code to how they're modeled in the warehouse.

Strategic & Business Acumen

• You can translate business objectives into technical roadmaps and have experience building self-service analytics strategies that scale across organizations.
• You lead a team that gets ahead of the business, building tooling and documentation so stakeholders can answer their own questions without waiting on a ticket.

People Leadership

• You have 5+ years of experience managing analytics engineering professionals. You've successfully led a team of embedded professionals and know how to cultivate a culture of autonomy within cross-functional teams.
• You can tailor your management style to suit your employees, identifying where some people might succeed with a more hands-off approach than others. You're passionate about developing talent and have a track record of building career frameworks, implementing mentorship programs, and helping analytics engineers grow from mid-level to senior roles.

Communication & Collaboration

• You excel at stakeholder management and can build effective relationships across the organization. You self-organize a peer group to gain feedback.
• You're an exceptional communicator who can explain complex data concepts to non-technical stakeholders and advocate for data-driven decision making at the executive level.

Growth Mindset

• You want to continue to grow and learn. You are excited by hard problems and big challenges.
• Experience in fintech, banking, or finance is a plus.

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 $170,000 - $220,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money 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.

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.