The Team + The Role

Pendo’s Customer Engineering team is the technical backbone of the pre- and post-sales customer motion. The team brings together work that has historically sat across Customer Success, Technical Account Management, and Solutions Engineering into one full-lifecycle technical owner. Customer Engineering helps customers connect technical execution to business outcomes and realize the value of their investment in Pendo.

As a Senior Customer Engineer, you own strategic and complex Enterprise accounts across acquisition, implementation, adoption, expansion, and escalation. You lead technical strategy for complex deployments, resolve ambiguous customer challenges, and partner closely with account teams to drive retention, expansion, and customer value. Your impact extends beyond your own accounts through playbooks, coaching, repeatable fixes, and workflow improvements that raise the capability of the broader Customer Engineering team.

This is a remote role supporting a South East territory. 

What this looks like day-to-day

• New customer acquisition and selling: Partner with Account Directors on pre-sales motions for new customer acquisition, product expansion, and expansion across lines of business. You identify customer pain, craft and deliver tailored demos, and lead technical evaluations through requirements gathering, success criteria, installation guidance, and hands-on workshops.
• Complex implementations and value realization: Lead onboarding for strategic customers, including planning, implementation, integrations, and training. You build customer-specific implementation playbooks, guide complex deployments with executive visibility, and ensure customers realize value during onboarding and over time.
• Adoption, expansion, and growth: Identify opportunities to expand adoption across underutilized features, untapped products, and new lines of business. When adoption stalls, you diagnose root causes, design a path forward, and connect technical work to measurable business outcomes.
• Technical escalation: Serve as an escalation point for complex technical challenges raised by other Customer Engineers. You resolve ambiguous problems with multiple variables and tradeoffs, involving Product or Engineering only when truly needed.
• Team capability building: Build playbooks, document repeatable fixes, coach peers, and improve how Customer Engineering work gets done across the team. You use AI tools to accelerate content creation, surface patterns across accounts, and share practical workflow findings with the broader team.
• Early account impact: Assess account health, risks, stakeholder relationships, and the highest-priority problems to solve within your portfolio. You establish trust with Account Directors and customer stakeholders, then independently lead complex customer interactions that move accounts forward.
• Quarterly business outcomes: Drive measurable improvement in customer health, retention, expansion, and technical resolution across strategic accounts. You contribute reusable frameworks, playbooks, or processes that other Customer Engineers use and become a trusted advisor to Account Directors on account health and technical strategy.

Who You Are

Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.

You're a builder, not a maintainer.

You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Senior Customer Engineers don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.

You're AI-curious - genuinely.

You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.

Must-haves

• 5 to 8 years of experience in a customer-facing technical role such as Sales Engineering, Solutions Engineering, Technical Account Management, Customer Engineering, implementation, professional services, or solutions architecture.
• Deep hands-on experience with web technologies including HTML, CSS, JavaScript, and REST APIs, with the ability to architect and troubleshoot complex front-end implementations.
• Proven experience managing strategic Enterprise accounts with executive-level stakeholders, competing priorities, and complex technical or business requirements.
• Demonstrated ability to solve ambiguous problems involving multiple variables, constraints, and tradeoffs.
• Experience connecting technical execution to business outcomes such as retention, expansion, ROI, and value realization.
• Hands-on use of AI tools for account research, content creation, or workflow automation, with demonstrated integration into day-to-day work rather than light experimentation.
• Experience mentoring or coaching more junior technical team members.

Nice-to-haves

• Experience with Pendo, digital adoption platforms, product analytics, or in-app experience tooling in an enterprise environment.
• Hands-on experience with mobile app development, including Swift, Android, or React Native.
• Familiarity with data architecture, AI or machine learning concepts, or advanced analytics instrumentation.
• Track record of building reusable frameworks, playbooks, or processes that were adopted by a broader team.

About Pendo

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.

Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.

Location: Remote

Compensation: The expected On-Target Earnings (OTE) range for this role is $193,393 - $241,742, with a 70/30 base-to-variable compensation split.

Benefits: Pendo offers highly competitive United States benefits, including employer-heavy coverage with $0 premium options, strong 401(k) match, equity, and flexible time off.

EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.

Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

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

The Team + The Role

The Enterprise Sales team at Pendo partners with some of the world’s largest organizations to improve and transform their digital experiences. The team operates in a fast-paced, collaborative environment and works closely with Solutions Engineering, Customer Success, Legal, Product, and executive leadership to drive meaningful business outcomes. Enterprise Sales values clear execution, strong partnership, and disciplined sales practices to win complex enterprise opportunities.

As an Account Director, Enterprise Sales, you will lead complex enterprise deals and own multi-stakeholder sales cycles with organizations of 1,500+ employees. You will build executive relationships, develop multi-year account strategies, generate high-quality pipeline, and apply MEDDPICC and Force Management principles to drive forecast accuracy and long-term customer value.

This is a remote role based in the Southeast.

What this looks like day-to-day

• Enterprise deal leadership: Act as the internal lead for complex enterprise opportunities, coordinating cross-functional partners across Solutions Engineering, Customer Success, Legal, Product, and executive leadership. You keep the team aligned, the deal strategy clear, and the process moving with urgency and discipline.
• Executive relationship building: Build and maintain strong relationships across the C-suite, IT, and business leadership within organizations of 1,500+ employees. You understand stakeholder priorities and connect Pendo’s value to meaningful business outcomes.
• Value-based selling: Lead sales cycles focused on solving meaningful business problems and supporting digital transformation initiatives. You shape the value narrative, guide customers through complex decisions, and position Pendo as a strategic partner.
• Sales methodology and forecasting: Apply MEDDPICC and Force Management principles to manage complex, multi-stakeholder sales cycles. You maintain strong deal hygiene, identify risk early, and support accurate forecasting.
• Account strategy and expansion: Develop and execute multi-year account strategies that expand Pendo’s presence within enterprise customers. You identify growth opportunities, prioritize high-impact activities, and build plans that deliver long-term customer value.
• Pipeline generation: Consistently generate and maintain a high-quality pipeline through proactive prospecting and account development. You take ownership of pipeline health and create opportunities through disciplined, strategic outreach.
• AI-enabled productivity: Use AI tools and insights to improve sales preparation, productivity, and customer engagement. You look for practical ways to work faster, communicate more effectively, and make better decisions in a fast-moving environment.

Who You Are

Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.

You're a builder, not a maintainer.

You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Account Directors don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.

You're AI-curious - genuinely.

You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.

Must-haves

• Proven track record of success in enterprise software sales, including SaaS or application software, selling into organizations with 1,500+ employees.
• Experience using MEDDPICC and/or Force Management to manage complex, multi-stakeholder sales cycles.
• Demonstrated ability to generate pipeline independently through strategic prospecting and account development.
• Experience leading cross-functional deal teams across Solutions Engineering, Legal, Customer Success, and executive stakeholders to close enterprise agreements.
• Comfort using AI tools to improve sales efficiency, preparation, and customer engagement.

Nice-to-haves

• Experience working in a startup or high-growth environment where you navigated ambiguity and built new processes or approaches.
• Success selling emerging or innovative technologies that required educating the market and shaping the value narrative.
• A track record of perseverance and resilience in professional or personal pursuits.
• Demonstrated ability to mentor peers and contribute to the overall development of the sales organization.

About Pendo

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.

Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.

Location: Pendo is a hybrid culture. In-office 3 days per week unless designated remote.

Compensation: The expected On-Target Earnings (OTE) range for this role is $280K-$320K, with a 50/50 base-to-variable compensation split.

Benefits: Highly competitive, employer-heavy coverage including $0 premium options, strong 401(k) match, equity, and flexible time off.

EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.

Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

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, Torrisi, 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 seeking a detail-oriented and design-forward Brand Partnerships / Account Management Intern to support our Partnerships team during Summer 2026. This role will help strengthen how we communicate partnership value and performance by supporting sales enablement materials, reporting, and outreach operations.

This is an ideal role for someone who enjoys blending structure, storytelling, and design—especially in a premium hospitality environment where presentation quality matters.

Key Responsibilities

Sales Enablement & Partnership Materials

• Build and refine sales decks in Figma, ensuring high-quality layouts, clean storytelling, and brand consistency
• Support creation of Partnership stats recaps to share with partners and internal stakeholders

Outreach & Execution Support

• Provide outreach support when needed, including organizing lists, preparing materials, and supporting follow-ups

Cross-Functional Collaboration

• Collaborate with Design (for deck polish and Figma workflows)
• Support data requests as needed to strengthen partner reporting

The Winning Recipe

• Currently pursuing a Bachelor’s degree in Business, Marketing, Communications, Graphic Design/Visual Communication, Hospitality Management, or a related field (rising junior/senior preferred)
• Strong Figma proficiency, with the ability to build and refine decks that are clean, premium, and executive-ready
• Strong Excel or Google Sheets skills, with comfort organizing and packaging performance stats
• Exceptional attention to detail, formatting, and presentation quality
• Reliable project management instincts: ability to prioritize, meet deadlines, and iterate quickly on feedback
• Strong written and verbal communication skills
• Interest in partnerships, account management, and relationship-driven business models

Nice to Have

• Experience building sales or partnership decks (internships, school orgs, freelance, or personal projects)
• Familiarity with partnership reporting, brand collaborations, or creator ecosystems
• Ability to translate metrics into clear narrative takeaways
• Passion for hospitality and premium brand storytelling

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.

About the Role

What You'll Need

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

Nice to Have

What You'll Do

Compensation

About the Role

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

What You'll Need

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

Nice to Have

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

What You'll Do

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

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

Compensation

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

#LI-RO

About the Role

What You'll Need

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

Nice to Have

What You'll Do

Compensation

About the Role

What You'll Need

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

Nice to Have

What You'll Do

Compensation

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).

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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, Torrisi, 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 seeking a highly organized, service-minded Client Success Intern to support our Client Success Managers during Summer 2026. This role will play an important part in delivering a premium, proactive client experience—from onboarding through ongoing engagement and retention.

This is an ideal opportunity for someone who is energized by the intersection of hospitality, client experience, and operational excellence. You enjoy building clean systems, maintaining clear communication, and following through with precision. You’ll gain exposure to how high-performing Client Success teams operate inside a fast-moving, high-touch environment, and contribute directly to the workflows that keep clients engaged.

What You’ll Do

Clients Success Support & Relationship Management

• Collaborating with Managers in account management and member facing content and inventory
• Support onboarding preparation and follow-through (materials, timelines, tracking, next steps)
• Assist with client communications including scheduling, reminders, and recap documentation
• Help maintain clean internal notes and account context to ensure continuity across stakeholders

Client Health & Retention Support

• Monitor client activity and help flag risk signals (low engagement, delayed responses, unresolved issues)
• Support retention workflows by tracking open items, owners, and next steps
• Help organize client feedback and recurring themes to inform internal prioritization

Operational Excellence & Process Improvement

• Maintain and update trackers for account status, action items, and client requests
• Support creation of lightweight playbooks and templates (onboarding checklists, follow-up scripts, QBR prep)
• Improve internal organization by proactively cleaning up workflows, documentation, and handoffs

Cross-Functional Coordination

• Coordinate with internal teams (Product, Support, Ops, Partnerships) to route issues and ensure resolution
• Assist in packaging client updates for internal stakeholders to keep execution aligned
• Help document client pain points and feature requests in a structured, actionable way
  
  

The Winning Recipe

• Currently pursuing a degree in Business, Hospitality Management, Communications, Operations, Psychology, Marketing, or a related field (rising junior/senior or masters preferred)
• Strong interest in Client Success, Account Management, Client Services, Operations, or relationship-driven business models
• Highly organized and detail-oriented, with a strong ability to manage follow-ups and keep workstreams moving
• Clear, polished written communication skills and strong professional judgment
• Comfort working across multiple stakeholders in a fast-paced environment
• Strong Google Workspace skills (Docs, Sheets, Slides) with confidence maintaining trackers and summarizing insights
• Service-oriented mindset with premium hospitality standards: proactive, calm under pressure, and solutions-driven
• Self-starter energy with a high bar for execution quality and reliability

Nice to Have

• Experience in client-facing roles (hospitality, events, concierge, retail, community, support, or client service)
• Familiarity with CRM or Customer Success tools (Salesforce, HubSpot, Zendesk, Intercom, Notion, Airtable, etc.)
• Strong documentation instincts and comfort creating repeatable templates and workflows
• Analytical mindset with interest in client engagement signals and retention metrics
• Passion for hospitality, dining culture, and premium consumer experiences

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.)

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

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. 

About Us

Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company's Most Innovative Companies, and Forbes World's Best Bank. Visit our institutional page [Careers at Nu - Join our team!](https://international.nubank.com.br/careers/)

About the Role

At Nu, data is the foundation that powers our AI and machine learning models, enabling millions of customers to access fair financial products. As a Machine Learning Engineer in AI Core, Data Intelligence, you’ll work across a broad spectrum — from building scalable data infrastructure and feature pipelines that feed our state-of-the-art foundation models to designing, training, and shipping transaction classification models that power critical customer experiences across the company.

You'll work at the intersection of data and applied machine learning, contributing across multiple stages of the ML lifecycle: ingesting and labeling data, training and evaluating models, and helping with deployment and production monitoring through robust quality controls. You’ll partner closely with product, compliance, and ML teams to ensure models are auditable, privacy-aware, and deliver measurable business value.

You'll join a team that manages the data engineering backbone of AI Core, ensuring data is accessible, healthy, and properly tracked across our entire ML ecosystem. Here, you'll combine your expertise in building scalable data systems with your passion for machine learning, creating solutions that enable our models to learn from better, richer data.

You can read more about the work in the AI Core team on our blog: https://building.nubank.com/understanding-our-customers-finances-through-foundation-models/

Key Responsibilities

As a Lead Machine Learning Engineer in AI Core Data Intelligence, you will:

• Design and build scalable data ingestion pipelines that bring new datasets into our AI Core platform, ensuring reliable, efficient data flow from source to model training.
• Implement data quality monitoring and validation systems that catch issues before they impact model performance, maintaining the health of datasets across our ML ecosystem.
• Model new types of data into our foundation models.
• Analyze the impact of new data sources on existing models, conducting experiments to measure performance improvements and guide data acquisition decisions.
• Develop and maintain data preparation workflows that transform raw data into features ready for model training, working with distributed computing frameworks like Ray.
• Tune and optimize machine learning models when new datasets are integrated, applying hyperparameter optimization and evaluating model performance improvements.
• Collaborate with AI Core ML, Platform, and Infra teams to ensure seamless data flow across our ML infrastructure, from ingestion to model deployment.
• Lead technical initiatives that improve our data engineering practices, setting standards for data quality, pipeline reliability, and model-data integration.
• Mentor team members and contribute to hiring activities, helping build a strong and diverse team that drives innovation in AI infrastructure.

Basic Qualifications

• Typically 6+ years of experience in machine learning engineering, data engineering, or related fields with a strong track record of building production data and ML systems.
• Proven experience designing and building data ingestion pipelines at scale, with expertise in distributed computing frameworks (Ray, Spark, or similar).
• Strong background in applied machine learning, including model training, hyperparameter tuning, and performance evaluation.
• Experience analyzing how data changes impact model performance, with the ability to design and run experiments to measure improvements.
• Proficiency in Python for data engineering and ML workflows, with experience working with large-scale data processing systems.
• Solid understanding of data quality principles and experience implementing monitoring, validation, and alerting systems.
• Strong problem-solving skills with the ability to address complex, ambiguous problems requiring coordination across multiple teams.
• Excellent communication skills, capable of explaining technical concepts to both technical and non-technical stakeholders.
• Demonstrated leadership experience, including mentoring team members and contributing to technical decision-making.

Preferred Qualifications

• Experience with MLflow or similar model tracking and versioning systems.
• Knowledge of foundation models, fine-tuning workflows, and transformer architectures.
• Experience with data pipeline orchestration tools (Dagster, Airflow, or similar).
• Background in financial services or fintech, understanding the unique data challenges in this domain.
• Experience working in a fast-paced, high-growth environment with distributed teams.
• Track record of reducing complexity in data systems and improving developer experience for ML teams.
  
  

Our Benefits

• Opportunity of earning equity at Nu
• Medical Insurance
• Dental and Vision Insurance
• Life Insurance and AD&D
• Extended maternity and paternity leaves 
• Nucleo - Our learning platform of courses
• NuLanguage - Our language learning program
• NuCare - Our mental health and wellness assistance program
• Extended maternity and paternity leaves 
• 401K
• Saving Plans - Health Saving Account and Flexible Spending Account
• Work-from-home Allowance
• Relocation Assistance Package, if applicable.

Work Model for this Role

Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/

Locations: This role is available in any of our North American offices (Palo Alto, USA; Miami, USA; Durham, USA; Toronto, CAN)

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, Torrisi, 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 seeking a Software Engineering Intern to contribute to initiatives across our core product platform and exploratory R&D efforts. In this role, you’ll work alongside Product and Design to help build, test, and iterate on features that support both member and partner experiences.

You’ll gain hands-on experience developing production systems, building prototypes, and collaborating within a fast-moving, high-growth environment. This is an ideal opportunity for someone eager to sharpen their technical skills while seeing firsthand how strong engineering execution powers product innovation and a premium user experience.

What You’ll Do

Software Development & Engineering Fundamentals

• Contribute to development tasks across Dorsia’s software stack
• Assist with implementation, testing, and maintenance of application features
• Participate in code reviews and engineering discussions
• Learn and apply best practices in software development

Product, Design & R&D Collaboration

• Collaborate with Product and Design partners on feature development or exploratory work
• Support prototyping, experimentation, and early-stage technical testing
• Contribute to technical documentation and exploratory analysis

The Winning Recipe

• Pursuing a Bachelor’s degree in Computer Science, Software Engineering, or related field (must have completed junior-level CS coursework)
• Foundational knowledge of software engineering principles
• Experience with at least one programming language (e.g., JavaScript, Python, Java)
• Experience using modern AI-assisted software development tools (e.g., Claude Code, OpenAI Codex, Cursor, GitHub Copilot, or similar)
• Strong problem-solving skills and technical curiosity
• Comfort working collaboratively across Engineering, Product, and Design

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, Torrisi, 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

The Brand Marketing Associate will own how Dorsia’s restaurant and hospitality partners are marketed across our ecosystem. This role builds repeatable frameworks for partner onboarding and launches, while acting as the connective tissue between partners, creative, product marketing, and lifecycle.

What You’ll Do

• Own restaurant and partner marketing playbooks, including onboarding, launches, and ongoing features
• Act as the primary marketing point of contact for hospitality partners
• Manage partner marketing narratives, expectations, and long-term relationships
• Own post-campaign recap decks and performance summaries for partners and internal stakeholders
• Create creative briefs and coordinate asset development with internal and external creative teams
• Maintain and own Dorsia’s cultural marketing calendar, including holidays, major cultural events, and hospitality-driven moments
• Identify relevant cultural trends and collaborate with marketing leadership on brand activation and storytelling opportunities
• Plan brand and partner marketing initiatives 30/60/90 days in advance to ensure proactive execution
• Own brand hygiene and consistency across marketing surfaces, including email banners, campaign lockups, and partner-facing materials
• Own and maintain the master marketing calendar across channels, campaigns, partners, and cultural moments.
• Collaborate with Product Marketing on in-app merchandising priorities for partner and cultural campaigns
• Partner with Lifecycle Marketing to ensure aligned and timely campaign distribution across channels
• Define influencer and creator strategy in collaboration with Social Strategy, ensuring alignment with brand and cultural moments
• Represent the Dorsia brand at select partner events, activations, and cultural moments to ensure strong brand presence and alignment
• Identify member acquisition opportunities tied to cultural moments, partner activations, and major events
• Partner with Product Marketing and Lifecycle Marketing to translate on-the-ground insights into GTM messaging and acquisition flows
• Track performance and continuously refine partner and cultural marketing frameworks

The Winning Recipe

• 4+ years of experience in brand, partner, or hospitality marketing
• Strong organizational skills and attention to detail
• Excellent taste and brand sensibility; experience in Luxury preferred
• Comfortable working cross-functionally and with external partners
• Passion for restaurants, culture, and hospitality

Compensation & Benefits:

• Competitive salary tailored to your experience and the market
• Equity
• 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