CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
• Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement/user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• U.S. citizenship 
• 7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers 
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role 
• Understanding of solution architecture related to distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management, including account, stakeholder and resource management accountability
• Experience in resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

Robinhood's Compliance Team is committed to operating with the highest standards of integrity and ethics across the company. The team partners closely with legal, people, and business teams to support compliant and ethical decision-making. You will help reinforce a culture where employees feel supported in raising concerns and navigating complex situations. We are seeking an experienced professional who is passionate about ethics and compliance to help strengthen this work!

As the Ethics & Compliance Lead, you will develop and oversee Robinhood’s Ethics Office and Integrity Helpline. You will guide employees on conflicts of interest, interpret and apply the Code of Conduct, and support investigations into potential policy or regulatory violations. This role partners with legal, compliance, and business teams to manage Ethics Office initiatives, improve policies and processes, and support training and communications related to ethical conduct. You will also monitor risks, track program effectiveness, and provide reporting to leadership and the Board.

This role is based in our Menlo Park, CA; New York, NY; or Washington, DC office(s), with in-person attendance expected 3 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• Develop, implement, and oversee the Ethics Office and Integrity Helpline, including triaging reports and conducting investigations into potential violations of policies, laws, and regulations
• Provide guidance on the Code of Conduct and conflict of interest matters, including gifts, entertainment, and outside business activities, acting as a primary decision-maker on complex disclosures
• Partner with legal, compliance, people, and business teams to manage Ethics Office initiatives, policies, and training programs
• Create communications and training content to increase awareness of ethical standards and compliance requirements across the company
• Monitor program effectiveness, assess compliance risks, benchmark the program against industry standards and peer organizations, and deliver reporting and metrics to leadership and the Board

What you bring

• Several years of experience as a Compliance and Ethics Officer; a bachelor’s degree or equivalent experience in a relevant field; financial services experience strongly preferred
• Strong personal character and a demonstrated commitment to integrity internally and externally, with senior executive presence and the ability to handle confidential information with discretion and sound judgment
• Excellent written and verbal communication skills, including the ability to clearly explain complex regulatory topics; ability to collaborate effectively, maintain a strong point of view, and influence stakeholders across multiple levels of the organization
• Experience developing strategies and building alignment to execute them, with the ability to approach problems thoughtfully and identify practical solutions
• Strong organizational skills with attention to detail, and the ability to exercise independent judgment while managing a complex workload autonomously in a changing and time-sensitive environment 

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces

FEQ426R758

Databricks is seeking a Field Chief Technology Officer (Field CTO) for the Americas Industries Business Unit to be a senior, customer-facing technology and business transformation thought leader for our most strategic, often global, accounts in regulated industries. This individual contributor role sits at the intersection of data and AI strategy, industry transformation, and executive relationship-building, working closely with C-level leaders to drive multi-year change on the data platform while representing real-world needs back into Databricks.​

Impact you will have:

• Build and maintain trusted-advisor relationships with C-level executives (CIO, CDO, CTO, CISO, business COs) in large US-based and global accounts, especially in highly regulated industries (financial services, public sector, healthcare, manufacturing).​
• Proactively cultivate a strong social and professional network across customer executives, boards, key industry bodies, and partners, knowing which organizations and forums to engage to open doors with the right stakeholders.​
• Shape executive thinking on modern data and AI architectures, with emphasis on Lakehouse and data platform modernization as the primary lever for long-term Gen AI impact.​
• Lead C-level briefings, strategy sessions, and multi-day workshops that connect business outcomes, regulatory constraints, and operating model change to concrete Databricks-based roadmaps.​
• Serve as a deep technical counterpart in the field, maintaining L200–L300 proficiency across Databricks products and being able to credibly engage architects, data engineers, and data scientists on solution design and trade-offs.​
• Generalize patterns from the field into reusable reference architectures, industry blueprints, and best practices for regulated industries, and share them through blogs, webinars, whitepapers, and conference keynotes.​
• Orchestrate the broader ecosystem (cloud providers, GSIs, consultancies, ISVs) around customer objectives, ensuring Databricks is at the center of multi-year transformation programs rather than isolated projects.​
• Partner with Account Executives, Solutions Architects, Industry Leads, and Product Specialists to drive complex, multi-year sales cycles, securing platform decisions and expansions while influencing ACV and consumption growth.​
• Provide structured, prioritized feedback from strategic customers into Product, Engineering, and Field leadership to influence product roadmap, especially around data, governance, security, and regulated-industry requirements.​
• Mentor senior Field Engineering and industry-focused talent, contributing to a pipeline of principal- and CTO-level leaders and codifying ways of working for complex, regulated accounts.​

What we look for:

• 15+ years of experience spanning enterprise technology and consulting, including leading or advising on multi-year data platform and analytics transformations in large, complex organizations.​
• Significant time spent inside a large enterprise software or cloud company (e.g., Microsoft or similar) in roles that required navigating matrixed organizations and driving change at scale, combined with direct industry exposure rather than a career spent solely in horizontal software.​
• Experience in or with regulated industries (financial services, healthcare, public sector, regulated manufacturing, utilities), with familiarity with regulatory and compliance considerations affecting data and AI platforms.​
• Background that blends:
• Hands-on technology and architecture work on data platforms and analytics.​
• Organizational and operating model change (ways of working, skills, governance).​
• Executive consulting or advisory, ideally seeing transformations through from strategy to multi-year execution, not only strategy decks.​
• Proven ability to operate as a highly credible peer to C-level executives, driving business-outcome-focused conversations while also diving deep into technical details when needed.​
• Strong, proactive networker who is naturally curious about which associations, councils, and forums matter for a given customer set, and who uses those networks to create new executive entry points and opportunities.​
• Demonstrated longevity and impact in prior roles, with evidence of building and sustaining long-term customer relationships and programs rather than frequent short stints.​

About Blank Street

At Blank Street, we’re on a mission to become the defining food and beverage brand of our generation. From the very beginning, we’ve set out to add a spark to ordinary experiences through elevated products, attention-to-detail, and a commitment to making every moment memorable. We’re motivated by the millions of customers we serve across cities, and know that our potential is unlimited. It all starts with our people and their commitment to make magic happen each and every day. Like the sound of this? Keep reading

Add a Spark to the Ordinary… 

General Managers are central to the success of Blank Street and take full ownership of their four walls. They are accountable for training and developing all team members, leading by example on facilities, product quality, and customer experience, and maintaining strong operational standards through effective inventory and performance management. General Managers are also responsible for hiring great talent, driving business growth and continuous improvement, and may support light project work that contributes to the broader business and their own professional development.

Who We’re Looking For

• Experience hiring, developing and managing hospitality teams
• Experience managing inventory and supply chain ordering
• Love for coffee and customer service
• Experience working in a unionized environment is a plus
• Strong knowledge of specialty coffee, espresso and equipment is a must
• Strong decision making and multi-taking skills
• Strong interpersonal communication skills

What You’ll Own

• Create a motivating and engaging team culture by consistently celebrating, training, coaching, and mentoring your team.
• Step in to cover scheduling gaps or time off in the store schedule
• Create and publish staff schedules according to state and local labor laws
• Review and approve timecards and paid time off requests in a timely manner ensuring your team is paid accurately and on time
• Recruit super star talent in collaboration with the People Team
• Oversee and validate the quality of training being executed by your Shift Leads, providing feedback and coaching where needed
• Ensure coffee accreditations are handled on time for new employees in line with company standards
• Work to maintain the very best team engagement scores
• Maintain food and beverage quality standards across your store and ensure recipes are executed accurately and consistently by your team
• Own all ordering, vendor relations, waste management, inventory counts and general compliance of our Inventory Management System
• Spend 50-70% of your week leading by example behind the bar through customer service and production of technically excellent food and beverage products
• Ensure the safety, cleanliness and presentation of your location in line with company policies
• Maintain operational excellence achieving company standard scores and above via our auditing platform
• Develop meaningful ties with neighborhood businesses and people to help grow local brand loyalty
• Be a champion of your store’s financial performance and peak business throughput
• Grow your store AOV, meet sales goals through creative initiatives and gain team buy in to share the same vision
• Ensure your location meets operations and product quality audit standards, quickly action any feedback to improve

Requirements

• 4+ years of experience managing and leading single-store unit operations in high growth hospitality or consumer brands
• Full Time availability: 45 hours per week, 5 days of availability required and must be available to work 2 peak days (usually weekend days, weekend as described as Friday, Saturday, Sunday)

Benefits & Perks

• $65,000 - $75,000 annual salary
  Blank Street, in good faith, believes that the posted salary range is accurate for this role in NYC at the time of posting. Our salary ranges are rooted in the desire to pay competitively relative to our organization size and industry, reflecting just one part of the total compensation package. Blank Street may pay more or less than the posted range based on factors such as relevant experience and skills, qualifications and location, among others. This range may be modified in the future.
• Bonus program 
• 15 days of paid annual leave (on top of company-observed holidays and sick time) 
• Three health plan options, with full coverage available for two employee-only tiers.
• Commuter benefits 
• Parental leave
• Bereavement leave
• Exclusive access to our coveted Regulars program – yes, that means free coffee, matcha and more! ☕️
• Regular social outings with the team
• Free Blank Street swag

FEQ227R170

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 6+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

About the Role

The Ads Applied Data team builds and scales the foundational data infrastructure that powers Moloco’s advertising platform. As a Senior Software Engineer, you will design, develop, and optimize distributed data systems for real-time and batch processing, ensuring reliable and low-latency delivery of data across the ads ecosystem. You’ll work closely with Product, ML, and Data Science teams to enable feature engineering, identity resolution, and advanced user signal enrichment across online and offline pipelines.

Responsibilities

• Design and build large-scale distributed systems for data ingestion (Petabyte-scale), transformation, and serving.
• Partner with ML and Serving teams to support feature engineering workflows, connecting offline data to serving systems.
• Contribute to the evolution of Feature Infra / Feature Store, ensuring scalability, discoverability, and consistency of feature data.
• Collaborate on Identity Graph construction to unify user and device identifiers for more effective signal enrichment and targeting.
• Improve system observability, resilience, and performance in high-throughput, low-latency environments.
• Mentor engineers and help define best practices for data and backend engineering.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, or equivalent technical field.
• 5+ years of software engineering experience with one or more modern languages (Java, Kotlin, Go, C++, C#, or Python).
• Proven experience designing and building large-scale distributed systems and backend services.
• Hands-on experience with data processing frameworks such as Apache Beam, Dataflow, or Spark, and orchestration tools like Airflow.
• Strong understanding of cloud infrastructure (GCP, AWS, or Azure) and data storage technologies (BigQuery, Bigtable, Redis, GCS, Kafka, Pub/Sub).
• Demonstrated experience delivering impactful projects through collaboration with cross-functional teams (Product, ML, Data Science).

Preferred Qualifications

• Experience with Feature Infra / Feature Store architecture and operations.
• Experience in Identity Graph design and construction to enhance user signal quality.
• Deep familiarity with AdTech or Machine Learning infrastructure domains.
• Experience working with Petabyte-scale data and high-availability systems.

Expression of Interest

We know that for the most talented engineers, the right opportunity is about more than just a job title, it’s about the right challenge at the right time. Even if our current openings don't perfectly fit your timing and interests today, we still want to hear from you. We view this as a priority pathway to connect with curious, driven MLEs whose unique expertise can help us architect the next generation of planet-scale ML systems. 

At Moloco, our mission is to empower the global digital economy by turning massive first-party data into measurable business outcomes. Whether it’s optimizing real-time bidding for Moloco Ads or building AI-native stacks for Streaming and Commerce, we’re looking for engineers to help us lead the shift toward a more performance-driven, AI-powered internet.

If you’re excited to scale and innovate in a fast-moving environment, share your profile and we will reach out the moment we see a potential match for your experiences and future goals.

About the Role

As a Machine Learning Engineer at Moloco, you will design, train, and deploy the large‑scale models that power our programmatic advertising and commerce media products. You will work at the heart of our real-time bidding and pricing systems, helping shape an end-to-end ML ecosystem that processes billions of daily events. Your work will directly improve marketplace performance for global advertisers and publishers by optimizing for relevance, ROI, and user experience at a scale few companies can match.

The Opportunity

• Architect and iterate on high-performance models that improve ad relevance, click-through rates, and conversion performance.
• Productionize and maintain scalable ML pipelines - from data ingestion to online inference - on top of planet-scale infrastructure.
• Extract insights from massive datasets of user behavior and auction signals to define new features and refine modeling strategies.
• Translate business goals (revenue, ROI, engagement) into concrete modeling challenges and success metrics in collaboration with Product and Data Science.
• Validate innovation through rigorous experimentation, including A/B tests, offline evaluations, and counterfactual analyses.
• Balance marketplace health by implementing models that harmonize advertiser value with a high-quality user experience.
• Enhance system reliability by refining feature stores, monitoring data quality, and establishing robust debugging practices.
• Drive platform evolution, contributing to ML tools and guidelines that increase experimentation velocity and deployment speed.
• Optimize for performance, partnering with Infra teams to reduce latency and improve throughput for low-cost, high-scale decisioning.
• Elevate technical excellence by sharing best practices in modeling and production ML with the broader engineering team.

Expertise We Value:

MLEs at Moloco are hands-on builders of some of the world’s highest-scale ML workloads. They bridge technical innovation with global revenue outcomes, owning the critical systems that define our next generation of machine learning and optimization platforms.

While every journey is unique, we find that the most successful MLEs at Moloco bring a deep technical foundation in the following areas:

• Production ML at Scale: 5-12+ years of experience delivering ML solutions in high-stakes production environments (e.g., Ads, Recommenders, Search, or Marketplaces), with a track record of scaling models for massive throughput and low-latency requirements.
• Algorithmic Mastery: A strong foundation in ML and statistics applied to real-world business challenges, with expertise in areas such as ranking, calibration, exploration-exploitation, causal inference, or multi‑objective optimization.
• Full-Lifecycle Engineering: Deep understanding of the end-to-end ML lifecycle, including data pipelining, feature engineering, model architecture, inference optimization, and the deployment of models into online systems.
• Technical Versatility: Proficiency across a modern ML toolkit (Python, SQL, and frameworks like TensorFlow or PyTorch) and experience leveraging data processing stacks like Spark, Beam, or Flink to deliver results at scale.
• Operational Stewardship: Experience ensuring the long-term health of ML systems in live environments—monitoring performance, diagnosing drift, and iterating based on real-world feedback to maintain measurable impact.
• Technical Mentorship: A passion for advancing the team’s collective bar by sharing best practices for large-scale ML systems and guiding the technical direction of complex machine learning initiatives.

Our Tech Stack:

• Languages: Python, Go, C++
• ML Frameworks: TensorFlow, PyTorch, JAX
• Infrastructure: GCP, AWS, Kubernetes, Spark, BigQuery, BigTable

How You Work: 

• Your ethos is ownership
• You thrive in ambiguity and enjoy partnering with others to shape vague requirements into clear roadmaps with pragmatic tradeoffs.
• You take shared accountability for the end-to-end journey; communicating progress, surfacing risks early, and following through to ensure your work creates measurable value.
• You demonstrate strong judgment under uncertainty. 
• You prioritize based on long-term impact, over short-term noise, making deliberate decisions when information is incomplete.
• You explicitly weigh tradeoffs like speed vs. quality and remain agile enough to adjust your approach thoughtfully as new information/data emerges.
• You lead through clarity and active listening. 
• You reduce ambiguity for the team by asking the right questions upfront, tailor your communication to your audience, document your decisions, and bring helpful structure to complex discussions. 
• You provide thoughtful, evidence-based feedback when needed and align behind decisions once they are made.
• You collaborate early, instead of solving in isolation.
• You build trust across the organization by listening first and navigate conflicting needs with empathy, creating buy-in around priorities and scope. 
• You navigate technical tensions productively, disagreeing thoughtfully while maintaining momentum and strengthening professional relationships.
• You fall in love with the problem, not the solution
• You build for the long run, looking beyond immediate tasks to understand root causes, second-order effects, and the long-term health of our ML ecosystem. 
• When something breaks, you don’t just patch it; you seek structural improvements that prevent recurrence and elevate the technical bar for the entire organization.
• You prioritize customer impact and take action to make it real.
• You prioritize effective solutions that drive business impact over technical elegance, spotting opportunities that others might overlook. 
• You have the initiative to turn ideas into outcomes and the agency to identify and fix gaps, even when they aren’t yet on the formal roadmap.

You can apply for this role through our Open Positions page (or through our Internal Job Board if you are a current employee). We will review submissions on an ongoing basis.

The Global Data & Insights Team

Okta's Enterprise Data & Insights team powers the data infrastructure that drives decision-making across the company by building reliable pipelines, scalable data platforms, and production-grade data products. We partner closely with internal Data and Insights Analysts as well as external Okta Product teams to unlock business value through robust data architecture, efficient data movement, and the engineering foundations that make data trustworthy at scale.    

The Senior Analytics Engineer, Marketing Opportunity

We are seeking a Senior Analytics Engineer to serve as the technical architect of our marketing data engine. You will own our marketing attribution logic and end-to-end funnel performance data, evolving our current processes into an enterprise-grade ecosystem. Your mission is to uncover the high-fidelity signals that drive new customer acquisition and maximize expansion within our existing base. You’ll tackle a sophisticated roadmap of advanced analytics, transforming raw touchpoints into a trusted, scalable framework for growth.

This role sits at the intersection of business context and technical execution. You will design scalable data models, define consistent business logic, and help establish a strong semantic foundation that enables both human analytics and machine-driven intelligence.

You will partner closely with Marketing stakeholders, Data Analysts, Data Scientists, and Data Engineers to ensure data is accurate, consistent, and easy to consume; whether through dashboards, self-service exploration, or AI-powered workflows.

What you’ll be doing

Data Modeling & Semantics

• Design, build, and maintain scalable data models using dbt and Snowflake
• Define and standardize core Marketing metrics (e.g., pipeline, campaign performance, attribution, conversion rates)
• Establish consistent modeling patterns, naming conventions, and semantic clarity across datasets
• Contribute to a shared semantic layer that enables consistent reporting across channels and tools

AI-Ready Data & Snowflake Ecosystem

• Prepare high-quality, well-governed datasets for use with Snowflake Cortex and Snowflake Intelligence
• Enable data foundations that support LLM-powered use cases such as campaign insights, segmentation, and performance optimization
• Ensure data is context-rich, well-documented, and aligned with business meaning to improve AI accuracy and usability

Data Quality, Governance & Trust

• Implement robust testing, validation, and documentation practices in dbt
• Ensure consistency across dashboards and marketing tools through shared definitions and reusable models
• Apply data governance best practices, including access controls, lineage, and auditability
• Partner across teams to establish clear ownership of marketing data assets and definitions

Collaboration & Delivery

• Partner with Marketing, Customer First, and Analytics teams to translate business needs into scalable data solutions
• Support self-service analytics by building intuitive, reusable datasets across channels (e.g., digital, lifecycle, events)
• Contribute to scalable data workflows that balance immediate campaign needs with long-term maintainability
• Work within an agile environment, contributing to planning, prioritization, and continuous improvement

AI and Data Mindset

• Demonstrate an AI-first mindset, thinking beyond data models and dashboards to how data can power intelligent systems and decision-making
• Understand the importance of well-modeled, well-documented, and semantically clear data for AI and LLM-based use cases
• A level of comfort leveraging AI-assisted workflows to improve productivity, code quality, and consistency
• Curiosity for emerging capabilities in platforms like Snowflake Cortex and Snowflake Intelligence, and how they can be applied to Marketing analytics

What you’ll bring to the role

• 5–8+ years of experience in Analytics Engineering, Data Engineering, or similar roles
• Strong SQL skills and experience building analytics-ready data models
• Mentorship & Engineering Excellence: Mentorship, raising the technical bar, establishing organization-wide standards for dbt/SQL quality and CI/CD
• Hands-on experience with dbt and Snowflake or other ETL, Modeling and database platforms
• Solid understanding of data modeling principles, including dimensional modeling and semantic design
• Experience working with Marketing data (e.g., campaign data, web analytics, CRM, attribution models)
• Familiarity with tools such as Salesforce, Marketo, Google Analytics, or similar platforms
• Experience with data quality, testing, and documentation best practices
• Exposure to Python, R, or data processing frameworks (e.g., PySpark) is a plus
• Experience with BI tools such as Tableau or Looker
• Strong communication skills and ability to work across technical and business teams

What you can look forward to as an Okta employee!

• Amazing Benefits
• Making Social Impact
• Fostering Diversity, Equity, Inclusion and Belonging at Okta 
• Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/. 

Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.

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ABOUT THE TEAM

Anduril Labs is a multidisciplinary team of technologists, solution architects, engineers, and military subject matter experts. Its mission is to drive innovation across all Anduril business units and product lines by developing novel concepts and next-generation technologies that enhance Anduril’s competitive edge and give its customers a decisive technological advantage over its adversaries.

ABOUT THE JOB

We are looking for a talented full stack software engineer to join our growing team at Anduril Labs in Washington, DC. As a full stack software engineer in Anduril Labs, you will help bring innovative, next-generation concepts to life through proof-of-concept development and rapid prototyping using bleeding edge technologies.

The ideal candidate has exceptional software development and creative problem-solving skills, is a self-starter, and can quickly grasp complex concepts. As a full stack software engineer, you possess the skills to architect, develop, and deploy distributed applications and services, including both front-end and back-end components. You have experience with agile, end-to-end software development lifecycle and are comfortable developing and deploying code across Windows and Linux-based systems (including standalone bare-metal hardware, virtualized environments, and cloud-hosted platforms). Embedded software development experience is a plus. You are also proficient in integrating legacy code and systems, leveraging open-source technologies, and developing and utilizing APIs. Additionally, you have a solid understanding of AI/ML core concepts (e.g., feature extraction, supervised vs. unsupervised learning, regression, classification, clustering, deep learning neural networks, NLP, LLMs, SLMs, model fine-tuning, prompt engineering, RAG) and hands-on experience developing (Gen)AI-enhanced applications or services.

We also expect candidates to have familiarity with database technologies (e.g., SQL, NoSQL, Graph DB, Vector DB) and experience with data modeling, data wrangling, analytics, and visualization. Since Anduril Labs supports all Anduril businesses and product lines, you will have the unique opportunity to work closely with multi-disciplinary engineering and product development teams across the entire company. This means you will get to directly contribute to the development of Anduril’s next-generation products and services. So if you thrive in a dynamic environment that values creative problem-solving, love writing code, excel as both an individual contributor and team player, are eager to learn, and bring a can-do attitude, this role is for you.

WHAT YOU’LL DO

• Lead the development of prototypes to demonstrate advanced concepts in areas like autonomous and multi-agent systems, GenAI, advanced data analytics, quantum computing/sensing/networking/comms/machine learning, modeling, simulation, optimization, visualization, next-gen human-machine interfaces, heterogenous computing, and cybersecurity.
• Own the entire Software Development Lifecycle from inception through development, testing, deployment, and documentation for Anduril Labs-developed software prototypes.
• Interface and collaborate with other Anduril and customer engineering teams, and strategic partners.
• Support Anduril- and customer-funded R&D efforts.
• Participate in field experiments and technology demonstrations.

REQUIRED QUALIFICATIONS

• 3+ years of programming with Python, C++, Java, Rust, Go, or JavaScript/TypeScript.
• Proven software architecture and design skills.
• Ability to quickly understand and navigate complex systems and established codebases.
• AI/ML development using commercial and open-source AI frameworks, models, and tools (e.g., Jupyter Notebook, PyTorch, TensorFlow, Scikit-learn, OpenAI, Claude, Gemini, Llama, LangChain, YOLO, AWS Sagemaker, Bedrock, Azure AI, RAG).
• Web app development (e.g., React, Angular, or Vue).
• Cloud development (e.g., AWS, Azure, or GCP).
• Data modeling and wrangling.
• Networking basics (e.g., DNS, TCP/IP vs. UDP, socket communications, LDAP, Active Directory)
• Database technologies (e.g., SQL, NoSQL, Graph DB, Vector DB).
• API development and integration (e.g., REST, GraphQL).
• Containerization technologies (e.g., Docker, Kubernetes).
• Software development on Linux and Windows.
• Demonstrable hands-on experience using GenAI tools (e.g., OpenAI Codex, Claude Code, Gemini Code Assist, GitHub Copilot, Amazon CodeWhisperer, or similar) for software development, code generation, debugging, and algorithmic exploration.
• Experience with Git version control, build tools, and CI/CD pipelines.
• Demonstrated understanding and application of software testing principles and practices, including unit testing, integration testing, and end-to-end testing.
• Strong problem-solving skills, meticulous attention to detail, and the ability to work effectively in a collaborative team environment.
• Excellent communication and interpersonal skills, with the ability to effectively articulate complex technical concepts to diverse audiences.
• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance

PREFERRED QUALIFICATIONS

• BS in Computer Science, Engineering, or similar field.
• Distributed applications development (e.g., client/server, microservices, multi-agent solutions).
• High performance computing (HPC) and big data technologies (e.g., Apache Spark, Hadoop).
• Mobile app development (e.g., iOS or Android).
• Embedded software development experience.
• Willingness to travel up to approximately 10%

SLSQ227R297

As a Startup Account Executive at Databricks, you get to work with some of the most exciting, disruptive companies using data to change the world. You are creative and self-motivated with experience running both transactional and strategic sales processes. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment. You will report to a regional sales manager.

The impact you will have:

• Build a territory plan within 30 days with a clear account prioritization strategy.
• Align existing customers with the Lakehouse vision and ecosystem.
• Be able to range from faster transactions to large strategic deals.
• Maintain clear Salesforce and Clari hygiene, including use case, MEDDPICC, revenue forecasts, and account notes.
• Lead with a customer-first mindset and focus on business value

What we look for:

• 2+ years of closing sales experience
• Prior experience in big data, Cloud, or SaaS sales
• Be able to quickly learn new technologies and value propositions
• Experience exceeding sales KPIs and quotas

SLSQ327R228

As a Strategic Enterprise Account Executive at Databricks, you are a strategic sales professional experienced in selling into Large Healthcare Providers. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to maintain and grow two existing accounts. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.

The impact you will have:

• Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
• Close both new accounts and existing accounts
• Identify and close quick, small wins while managing longer, complex sales cycles
• Exceed activity, pipeline, and revenue targets
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Use a solution-based approach to selling and creating value for customers
• Promote Databricks' enterprise cloud data platform powered by Apache Spark™
• Ensure 100% satisfaction among all customers
• Prioritize opportunities and applying appropriate resources
• Build a plan for success internally at Databricks and externally with your accounts

What we look for:

• You have previously worked in an early stage company and you know how to navigate and be successful
• Field sales experience within big data, Cloud, or SaaS sales
• Experience managing large, complex Healthcare accounts is preferred. 
• Prior customer relationships with CIOs, program managers, and essential decision makers
• Simply articulate intricate cloud technologies
• 7+ years experience exceeding sales quotas
• Success closing new accounts while working existing accounts
• Understanding of Spark and big data preferable
• Passion for cloud technologies
• Bachelor's Degree

Our Senior Developer Advocates are technical leaders and mentors that anchor our team. They own projects from beginning to end, facilitating collaboration and enabling Datadog's community to solve real-world problems. With a focus on Data Observability, this role will enable our community of engineers around Datadog to be part of a movement of building better software. This is a unique opportunity to use both your engineering expertise and advocacy skills to shape the ever-evolving technological landscape.

What You’ll Do:

• Act as a subject matter expert for data observability on behalf of the Datadog advocacy and engineering teams
• Create content in one or more mediums to build Datadog's reputation as a leader in data engineering and observability e.g. building demos, public speaking, blogging, documentation, webinars, open source, research reports and more
• Partner with and coach internal product and customer engineering teams on effective public communication and presentations for the work they do
• Contribute to the product through feedback (bugs or product enhancements suggestions)
• Identify and pursue opportunities for events, programs, and other community-focused work that establishes trust with practitioners

Who You Are: 

You are a trusted technical expert who enjoys helping data practitioners understand, operate, and improve complex data systems in production. You bring deep, hands-on experience in one or more areas of modern data engineering, and you use that experience to provide clear context to both the community and internal teams.

You are not expected to be an expert in every area below. Instead, you bring depth in some and working familiarity across many, and you are comfortable connecting them into a coherent operational story.

• Data engineering & processing systems: You have built, operated, or supported production data pipelines using distributed processing systems such as Apache Spark or Databricks, and understand common failure modes, performance tradeoffs, and operational challenges in batch and hybrid pipelines.
• Data platforms & analytics systems: You have hands-on experience with analytics platforms such as Snowflake and BigQuery, including schema design, data modeling, SQL-based analysis, and reasoning about performance, cost, and access patterns in real-world environments.
• Streaming & event-driven data: You understand how data flows through streaming systems such as Kafka or similar platforms, including producer and consumer behavior, lag, delivery semantics, and how streaming issues propagate into downstream datasets and analytics.
• Data quality, lineage, and metadata concepts: You are familiar with how data teams reason about data quality, upstream and downstream impact, and change management, and have experience working with data lineage, metadata, or transformation tooling (for example dbt, OpenLineage, or related ecosystems), or have operated in environments where these concepts are core to reliability.
• Programming & querying: You are comfortable working in at least one programming language commonly used in data systems (for example Python, Scala, Java, or Go), along with strong SQL skills, and you can move fluidly between code, queries, and notebooks when exploring or demonstrating data systems.

You also have:

• 10+ years of experience as a software developer, data engineer, SRE, or other practitioner building and maintaining production systems
• 3+ years of experience in advocacy, developer relations, or equivalent experience reaching technical audiences through written content, conference talks, workshops, webinars, videos, or open-source contributions
• Publicly available writing samples, demos, repositories, or recordings of technical presentations
• Familiarity with modern cloud infrastructure and container-based systems
• A strong interest in self-directed learning and exploring new technologies, tools, and problem spaces

Bonus points:

• Experience supporting data pipelines for ML or AI systems
• Meaningful contributions to open source or shared technical tooling
  
  

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

Who we are

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

Who you are

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

What you'll do

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

What we're looking for

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

While not required, these are a plus:

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

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

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

Who we are

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

Who you are

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

What you'll do

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

What we're looking for

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

While not required, these are a plus:

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

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

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

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 PacificNW.

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.

Inspire curiosity. Build independence. Shape a lifelong love of learning.

At Guidepost Montessori, our Lead Guides empower children to grow into confident, capable learners through thoughtfully prepared environments and respectful, individualized guidance.

If you’re passionate about early childhood education and excited to lead a classroom where independence and joy take center stage, we’d love to meet you. We are hiring for all ages from 0-6!

Your Role

In a Montessori environment designed to nurture concentration, confidence, and deep learning.

Montessori guides carefully prepare their classrooms to spark curiosity and independence. Through close observation, individualized lessons, and intentional language, you’ll support each child’s academic, social, and emotional development meeting them where they are and helping them grow.

Children in Montessori classrooms have the freedom to choose meaningful work, repeat activities until mastery, and take pride in their accomplishments. Your guidance helps every child develop focus, confidence, and a strong belief in their own abilities.

What You’ll Do

• Observe each child closely to understand and support their physical, intellectual, and emotional development
• Prepare and maintain a beautiful, orderly classroom that fosters concentration and independence
• Encourage self-confidence by supporting children as they learn to “do it themselves”
• Provide individualized and small-group lessons in practical life, literacy, math, and beyond
• Build strong, respectful relationships with children and families
• Communicate and collaborate with parents to support each child’s growth
• Lead your classroom with warmth, professionalism, and purpose

The Montessori Prepared Environment

Every Guidepost Children’s House classroom is fully equipped with high-quality Montessori materials and designed around the principles of beauty, order, and accessibility.

A Guidepost Classroom environment includes:

• Child-sized furniture and ample floor space for independent and small-group work
• Practical life materials for sweeping, food preparation, table setting, and care of the environment
• Curriculum that builds independence in dressing, feeding, and self-care
• Hands-on materials for literacy, math, science, and cultural studies
• Low shelves and child-level artwork for full accessibility
• Cozy reading spaces, real plants, and abundant natural light
• Beautiful, breakable materials made from wood, metal, and glass

What We’re Looking For

• Montessori diploma for ages 0–6, or willingness to obtain certification (fully sponsored)
• Experience working with children  in a group learning environment
• Alignment with child-led philosophies such as Montessori or Reggio Emilia
• Required ECE or Child Development credits
• Bachelor’s degree in (any field)

What We Offer

• Sponsored Montessori diploma training through the Prepared Montessorian Institute
• Ongoing professional development and mentorship
• Competitive salary $40,000-50,000
• Health, dental, and vision insurance
• Paid time off and paid holidays
• 75% tuition discount for up to two children at any Guidepost school
• A supportive network of passionate educators
• Clear opportunities for career growth and leadership advancement

About Guidepost Montessori

Guidepost Montessori is a growing network of over 80 schools across the U.S. and Asia, serving children ages 3 months to 6 years in our Nido, Toddler, and Children’s House programs.

We believe children are capable. Our mission is to transform education by designing learning environments that cultivate independence, joy, and lifelong curiosity for children, families, and educators alike.

ABOUT VEG

In 2014, VEG was born with a mission to help people and their pets when they need it most. This meant challenging the status quo and fixing everything that was wrong with the ER experience. Since then, we’ve expanded rapidly, with hospitals nationwide open 24/7, 365 days a year, and created a better emergency experience—not only for people and their pets, but also for everyone who works here—our VEGgies!

At VEG we find a way to say yes to the career you want in veterinary emergency medicine. This means transforming how ER works, from our open-concept hospitals, where you can handle emergency cases of every kind (even exotics!) to our immersive, customer-focused experience, which helps us give people and their pets the care they deserve.

This also means saying yes to creating the greatest experience possible for our VEGgies. Yes to working in an environment where you can find your place and feel valued for the amazing work you do. Yes to having unparalleled opportunities for learning and mentorship so you can grow where you want to go in your career. And yes to making an impact here in ways you never thought possible.

VEG is a 2025 and 2026 certified Great Place to Work®.

THE JOB

Veterinary nursing Shift Leads are the glue that holds each shift together—and the spark that keeps it moving. You own the rhythm and flow of each shift, making sure patients get top-tier care and every VEGgie has what they need to thrive. From team huddles and rounds to break coverage and on-the-floor coaching, you’re the steady presence keeping things smooth, safe, and supported. You don’t need to know every detail, but you do keep a big picture view—anticipating what’s next and jumping in wherever needed. You lead with heart, hustle, and a belief that when your team is empowered, great care follows.

WHAT YOU’LL DO

• Keep a clear pulse on patient status, team bandwidth, and shift-wide needs
• Manage daily workflow and help the team pivot when the unexpected hits
• Ensure shift roles are assigned and adapted as needed, with clarity and care
• Jump in on the floor when help is needed—no task is too small
• Coordinate breaks, assist with conflict resolution, and model calm under pressure
• Lead shift transitions, team huddles, and start/end-of-day wrap-ups
• Communicate clearly, direct questions appropriately, and elevate key issues
• Help the team turn downtime into learning time—or just a moment to breathe
• Flag incidents or notable events with a mindset of transparency and growth
• Work with hospital leadership on coverage, call-outs, and ongoing coaching
  
  

WHAT YOU NEED

• Credentialed Veterinary Technician (CVT, RVT, LVT, LVMT) or enrolled in the VEG Credentialing Support Program preferred
• 1+ years of experience in a veterinary technician or assistant role; experience in emergency or specialty medicine preferred.
• Strong grasp of clinical workflow and team dynamics
• Confidence in navigating floor operations while guiding others with empathy
• Excellent communication and conflict resolution skills
• Flexibility and a willingness to step in wherever needed
• Leadership instincts, an ownership mindset, and a desire to grow professionally
• Basic computer skills, comprehension of practice management software and electronic medical record keeping
• Excellent communicator when collaborating with pet parents and your team 
• Fine motor skills for handling patients and medical equipment
• Ability to stand for prolonged hours, kneel, and work on the floor as well as ability to lift up to 25 kg on own and able to support up to 40 kg with assistance
• Must be willing to work in a noisy environment with strong or unpleasant odors
• Availability to work nights, weekends, and holidays on a rotating or as needed basis based on hospital needs
• Work well in a fast-paced environment with people from all backgrounds and different personality types

WHO YOU ARE

• Empathetic, instinctively taking a people-centric approach, whether supporting your colleagues or making an effort to understand different perspectives
• Have a sense of humility; acknowledging mistakes, sharing credit with others, and lifting up your team’s’ accomplishments
• Feel a strong sense of ownership over your work, taking responsibility for outcomes and staying committed to achieving long-term, impactful results 
• Curious by nature; you ask insightful questions and continuously seek out opportunities to learn and grow your skills and knowledge

HOW WE INVEST IN YOU

• Competitive compensation, including base and 401K match
• Comprehensive health and wellness benefits that start on day one, including medical, dental, and vision coverage, QPR training, and access to free therapy or counseling
• Depending on your role, you may be eligible for equity after one year of full time, active employment with VEG, so you can share in our growth and success
• A BIG focus on learning and growth, from VEG-created clinical and leadership programs to unlimited ER CE + travel stipend (no really!). Full-time credentialed VEGgies receive a $2,500/year travel stipend. Full-time uncredentialed VEGgies receive a $1,000/year travel stipend.
• Clinical student loan repayment so you don’t need to worry about your student debt
• Paid parental leave; up to 10 weeks at 100% of regular salary and inclusive fertility and family-building care for all types of families
• Flexible work schedules to support your life outside of work
• Generous employee referral program, so our awesome people can bring in more awesome people
• And the little (big) things, like comfy scrubs, cool VEG swag, and food in the fridge for when you’re hungry

DEI

At VEG, diversity is not just a word—it's a strength that fuels innovation and kindness. Our mission is “Helping people and their pets when they need it most.” And we do that better when our VEGgies (employees) feel valued, respected, and empowered to bring their authentic selves to work. That's why we're devoted to creating an environment that reflects the diverse communities we serve—where different perspectives are not only welcomed but celebrated.

We are focused on providing equitable opportunities for growth, promoting inclusive decision-making, and ensuring that everyone's perspective is considered. Saying yes to VEG means helping us build a culture where your unique experiences and background contribute to a shared vision: being the world’s veterinary emergency company.

Who we are

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

Who you are

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

What you'll do

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

What we're looking for

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

While not required, these are a plus:

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

Our Stack

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

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

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

About Blank Street:

At Blank Street, we’re on a mission to become the defining food and beverage brand of our generation. From the very beginning, we’ve set out to add a spark to ordinary experiences through elevated products, attention-to-detail, and a commitment to making every moment memorable. We’re motivated by the millions of customers we serve across cities, and know that our potential is unlimited. It all starts with our people and their commitment to make magic happen each and every day. 

Like the sound of this? Keep reading. 

Add a Spark to the Ordinary… 

At Blank Street, we’re reimagining the cafe experience, making high-quality coffee and matcha accessible and efficient. As a Shift Lead, you’ll play a key role in bringing our mission to life. You’ll lead by example on the floor, ensure smooth operations during your shift, and create an environment where both customers and team members feel valued. This is a hands-on role for someone who thrives in fast-paced settings, loves connecting with people, and is passionate about great coffee and matcha. 

Who We’re Looking For

• Love for cafe culture and people 
• Friendly, open and approachable person who is able to work well with others
• Strong knowledge of coffee and equipment is a must
• Strong decision making and multi-tasking skills
• Strong interpersonal communication skills
• Passionate about delivering excellent customer connections to create a regular customer base
• Able to work at a fast pace in high volume environments
• Be an exemplary ambassador of our brand to new neighborhoods

What You’ll Own

• Craft beautiful coffee products and serve all Blank Street customers with energy, warmth, and empathy
• Support your GM and our Training Team to help train new employees to succeed at Blank Street, including ensuring that new team members are following all recipe and training for menu items and processes and that they are in correct uniform, are upbeat and vibes are positive
• Open and close the location safely and responsibly (Key holder) and ensure that cleaning duties for the store are followed at the beginning, during and end of the shift
• Positive and solution focused handling of any minor customer issue
• At a store level, leads all initiatives with the operations and marketing teams to increase foot traffic, new customers, daily sales, and operational profitability and develop a loyal neighborhood customer base for your store

Requirements

• 2+ years’ experience in a customer service leadership position
• 18+ years of age
• Able to lift 25+ lbs, and to stand for long periods of time
• Availability that meets the needs of our cafes
  
  • Full Time: 30-40 hours per week, 4-5 days of availability required and must be available to work 2 peak days (Peak days: Friday, Saturday, Sunday)
  • Availability to work between 6:30 am and 9:00 pm
  • Weekend and holiday availability preferred
• You must be authorized to work in the U.S.: upon acceptance of a job offer and completion of the Form I-9 with acceptable documents, Blank Street will provide the federal government with employees’ Form I-9 information to confirm authorization to work in the U.S. (a process known as ”E-Verify”).

Benefits and Perks

• $19.50/ per hour + tips 
• Barista accreditation and training program
• Paid sick time
• Paid vacation time, based on eligibility
• Health benefits, based on eligibility
• Blank Street coffee and swag 
• As a growing company we have opportunities for advancement for those interested

About Blank Street:

At Blank Street, we’re on a mission to become the defining food and beverage brand of our generation. From the very beginning, we’ve set out to add a spark to ordinary experiences through elevated products, attention-to-detail, and a commitment to making every moment memorable. We’re motivated by the millions of customers we serve across cities, and know that our potential is unlimited. It all starts with our people and their commitment to make magic happen each and every day. 

Like the sound of this? Keep reading. 

Add a Spark to the Ordinary… 

Baristas at Blank Street must be able to work independently, while also thriving in a team environment. The right person for this role is a proven people-person, taking pride in giving amazing service experiences. You are customer centric and believe in serving a carefully curated menu with passion and precision, making every effort to give your customers exactly what they need, every day, in their way.

Who We’re Looking For

• A friendly and enthusiastic team player with a passion for excellent customer service; you’re always ready to make your customers’ day
• A reliable employee who is able to effectively manage time and priorities, including during busy rush periods where a sense of urgency is necessary
• Passionate about creating delicious coffee and other cafe beverages
• A strong independent problem solver with proven multi-tasking and communication skills
• Someone who is curious, adaptable and always willing to learn
• Comfortable working in a team or independently
• Comfortable with cash-handling and maintaining store safety

What You’ll Own

• Delight our customers with consistent, welcoming and engaging customer service, taking the opportunity to turn every customer into a regular
• Work within a world-class coffee program using the best coffee equipment (the eversys cameos and shotmasters) and product in the industry to prepare the tastiest drinks
• Complete all training to ensures proper measures are in place to achieve the correct handling of food and beverage to retain its freshness and quality
• Have systems in place to avoid wastage of product with both food and beverage, following and adjusting par levels where needed in line with business peaks and lows
• Maintains Local Department of Health standards at all times
• Full and complete knowledge and adherence to all product, service and brand training playbooks
• Participates in all initiatives with the Operations and marketing teams to increase foot traffic, new customers, daily sales, and operational profitability and develop a loyal neighborhood customer base

Requirements

• Experience in the customer service or hospitality industry
• 18+ years of age
• Able to lift 25+ lbs, and to stand for long periods of time
• Availability that meets the needs of our cafes
  • Part Time: 15-25 hours per week, 3 days of availability required and must be available to work 2 peak days (Peak days: Friday, Saturday, Sunday)
  • Full Time: 30-40 hours per week, 4-5 days of availability required and must be available to work 2 peak days (Peak days: Friday, Saturday, Sunday)
  • Weekend and holiday availability preferred
• You must be authorized to work in the U.S.: upon acceptance of a job offer and completion of the Form I-9 with acceptable documents, Blank Street will provide the federal government with employees’ Form I-9 information to confirm authorization to work in the U.S. (a process known as ”E-Verify”).

Benefits and Perks

• $16.50-$17.50 per hour + tips 
• A comprehensive Barista accreditation and training program
• Tenure based paid time off
• Commuter benefits
• Sick time
• 1.5x pay on select holidays like New Year’s Day, Memorial Day, and Juneteenth
• Complimentary coffee and treats on shift
• Free Blank Street swag

Job Req: SLSQ427R270

Locations: 

San Francisco/ Seattle

The Cloud & AI Partnerships team is responsible for establishing durable long-term alliances with the world's most important technology companies in the Data & AI ecosystem.We are looking for a Sr. Alliance Director, AI GTM to facilitate Go-To-Market (GTM) strategies with our strategic AI partnerships — including our alliances with Anthropic, OpenAI, and Google Gemini. This role demands a rare combination of skills: the GTM fluency of a strategic alliance & business development leader and the Generative AI domain expertise needed to build targeted programmatic GTM motions that create and convert pipeline across our global field organizations. This role requires established, existing relationships within the leadership/GTM functions of major AI labs and cloud providers, ensuring immediate credibility and accelerated collaboration.

You will set GTM strategy, manage co-sell investment programs, build relationships between Databricks GTM executives and their counterparts at the world's leading AI labs, and drive measurable business outcomes through co-sell and field enablement initiatives.

You will operate with a high degree of autonomy, report into the VP of Cloud & AI Partnerships, and collaborate cross-functionally with product & engineering, sales, and marketing. This is a fast-paced, high-visibility role for someone who thrives in complexity and wants to be at the center of the most consequential partnerships in enterprise AI.

The impact you will have:

• Serve as the primary point-of-contact for senior GTM stakeholders at Anthropic, OpenAI, and Google, cultivating trusted, multi-threaded relationships at each level of the org chart across sales and field engineering. 
• Build and manage a QBR and Executive Business Review cadence with each AI partner, anchored on shared GTM goals and co-sell programs.
• Develop and maintain partnership co-sell KPIs and the overarching partner GTM governance framework to provide visibility into the health of programmatic co-sell motions.
• Develop and execute an overarching co-sell strategy across AI Lab partners, including account segmentation and propensity analysis to identify high-impact joint opportunities.
• Plan and operationalize in-person and virtual co-sell programs — including co-sell days, joint pipeline reviews, and partner-led field events — to accelerate top-of-funnel growth and mid-funnel conversion.
• Deliver regular program performance readouts to global sales and partnership leadership, surfacing insights and recommending course corrections.
• Build and manage streamlined partner funding programs designed to accelerate customer adoption of AI solutions
• Collaborate with enablement and commercialization teams within Databricks to drive board awareness & utilization of funding and customer success programs. 
• Partner with product, engineering, and commercial teams to shape the long-term AI model integration roadmap and develop compelling 'better together' messaging for each AI Lab relationship.
• Collaborate with industry GTM teams, ISV and consulting partners, marketing, and corporate development to build joint sales plays, offers, and assets that grow top-of-funnel and increase conversion.
• Develop and maintain field enablement content to equip internal & external field teams with the knowledge and tools to execute on joint GTM priorities and articulate differentiated 'better together' value propositions.

What we look for:

• 10+ years of experience in business development, strategic partnerships, alliance management, or GTM strategy, with a meaningful portion of that time spent in the Cloud and AI ecosystem.
• Proven track record building GTM programs and growing high-visibility partnerships with major technology companies, ideally cloud hyper-scalers or frontier model providers.
• Deep understanding of Generative AI products, go-to-market models, and the competitive AI landscape, including familiarity with the positioning and capabilities of Anthropic, OpenAI, Google, and comparable frontier model providers.
• Experience in Generative AI product development, GTM, or alliance roles is strongly preferred
• Analytical rigor: able to build first-principles business cases, model consumption, and derive data-driven insights to support partnership investment and program prioritization decisions.
• Strong GTM fluency, including familiarity with enterprise co-sell motions, account segmentation methodologies, pipeline management, and field enablement strategies.
• Excellent communication and executive presence — capable of distilling complex multi-dimensional analyses into clear, compelling narratives for senior internal and external audiences.
• Strong cross-functional leadership, ownership mindset, and bias for action. Comfortable driving deal and program processes autonomously while mobilizing large, matrixed organizations.
• MBA or equivalent advanced degree preferred. Bachelor's degree in Computer Science, Engineering, or related field, or demonstrated technical aptitude, is a plus.

RDQ226R497

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. 

You will be a Sr Product Manager for Unity Catalog (https://databricks.com/product/unity-catalog). Unity Catalog is the metadata and governance foundation for the Lakehouse, providing not only fine grained security and governance capabilities, but also performance and productivity capabilities such as lineage, search, discovery, auditing, and compliance, for our customers' data and AI assets. 

This role is requires coordinating all product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.

The impact you will have:

• Design and launch new governance and security capabilities as part of Unity Catalog.
• Define and build new platform services that enable Databricks’ data & AI product teams (ML/AI, Data Science & Engineering, Data Warehousing, etc.) to easily add new workload-specific governance capabilities that enhance the value of Unity Catalog and the Lakehouse.
• Take new features you envision from ideation / exploration with customers to full launch and rollout, including a marketing plan, field enablement, and broad customer adoption across all our segments.
• Bring insights about the data governance persona, our customers, and the market at large to the engineering and leadership team by working closely with our customers and partners. 

What we look for:

• 5+ years of enterprise B2B Product Management experience
• Educational background in computer science or related engineering practice.
• Experience working with databases and/or data warehouses, security, and catalogs.
• Experience building user-facing products for Data Analysts, Scientists, and/or Engineers.
• Strong track record of delivering products with cross-functional teams common to the enterprise software industry (field engineering, sales, marketing, partnerships, etc.).
• Experience in working closely with enterprise customers and ISV partners in the data market.

Who we are

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

Who you are

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

What you'll do

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

What we're looking for

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

While not required, these are a plus:

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

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

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

About the Role

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

What You'll Need

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

Nice to Have

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

What You'll Do

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

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

Compensation

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

#LI-RO

About the Role

What You'll Need

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

Nice to Have

What You'll Do

Compensation

FEQ227R193

Global GTM Strategy and Scale Architect

The Impact You Will Have

Databricks is entering entirely new markets, e.g. cybersecurity with Lakewatch (an open, agentic SIEM), agentic AI infrastructure, and more categories on the horizon. Each new product means the field needs to learn a new domain, a new competitive landscape, and a new set of customer conversations fast. This is a founding enablement role for Databricks' next wave of products. You won't be inheriting a playbook, you'll be writing a new one, repeatedly, every time Databricks enters a new category. You will own the end-to-end enablement strategy that takes a product from "just announced" to a product every Solutions Architect in the field can confidently qualify, position, demo, and defend in competitive situations. You will be the connective tissue between Product teams building new categories and a global field of SAs, translating capabilities into customer outcomes, and representing the field-readiness voice in Product forums - where the narrative is unclear, where SAs stumble on positioning, where demos need to tighten before a brand-new category reaches the field.

What You'll Do

• Own the global GTM and enablement strategy for every new product category Databricks enters - from foundational knowledge through advanced competitive positioning against incumbents
• Build and ship enablement at scale using AI: use vibe coding, and AI content pipelines to generate first-draft technical deep dives, competitive talk tracks, hands-on labs, and demo environments - then curate for accuracy and field impact
• Design and build demo environments and POC patterns that SAs can fork and customize for customer conversations - you're an architect, not a slide maker
• Partner directly with Product and Engineering leadership across new product lines to stay ahead of the roadmap and translate upcoming features into field-ready assets before GA
• Establish a tight product feedback loop - systematically capture field friction, lost deals, and SA objections and channel them back to Product with actionable recommendations. You have the standing to tell PMs what's not working and the data to back it up
• Design the competitive narrative architecture and build the "why Databricks" story that gives an SA confidence walking into a room with a customer executive. 
• Create scalable, multi-format enablement: Deep dives, solutions, AI role-plays, hands-on labs, and self-paced learning paths - always with a bias toward assets SAs can use in a customer conversation that same week
• Build AI-powered tools that make the field smarter: Glean agents for instant answers, AI role-plays for pitch practice, automated competitive briefs from real-time market signals
• Define and track KPIs that measure field readiness, and whether SAs are actually winning more Lakebase deals
• Stay a practitioner yourself: spend ~10-15% of your time in customer-facing moments - customer executive briefings, select competitive POCs, because what you build is sharper when you've defended the position in front of a customer executive, not just written it down
• Take a step back, think strategically and innovate your approaches to keep up with the fast paced environment. 

What We Look For

• 8+ years in solutions architecture, technical pre-sales, developer relations, technical product marketing, or technical enablement
• You've been the SA in the room: you know what it feels like to run a POC, handle objections live, and defend a technical position against a competitor. That lived experience is what makes your enablement credible
• Demonstrated ability to go deep fast in unfamiliar technical domains - the "T-shaped" technologist who can become credible in a new technology one quarter and a new category the next
• Builder mentality: you default to building tools, demos, and automations - not decks. You use AI tools as a daily force multiplier, not a novelty
• Demonstrated ability to build enablement programs from scratch (0-to-1) - not just iterate on existing content. You see a blank page as an opportunity, not a problem
• Strong product instinct: you can look at a feature roadmap for a brand-new category and immediately see how it maps to customer use cases and competitive differentiation
• Experience working directly with Product and Engineering teams as a peer, not just a consumer of their content
• The backbone to tell Product "the field can't sell this because X" - backed by data and field evidence
• Scaling mindset: everything you build needs to work for a global technical field team, not a 20-person workshop. You think about leverage and automation before you think about live delivery
• Exceptional communication skills - you can make complex technical concepts accessible to a broad audience, from SAs to C-Suite

Nice to Have

• Experience at a high-growth infrastructure company during a major product launch
• Background in both pre-sales and post-sales technical roles - you've lived the full customer lifecycle
• Hands-on experience with Databricks or competitive platforms 
• Experience building AI applications on operational databases (RAG patterns, agent architectures, etc.)
• You've already used AI to build at scale - automating content creation, building internal tools, or shipping demos faster than anyone thought possible

Who we are

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

Who you are

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

What you'll do

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

What we're looking for

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

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

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

Who we are

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

Who you are

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

What you'll do

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

What we're looking for

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

While not required, these are a plus:

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

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

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

Who we are

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

Who you are

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

What you'll do

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

What we're looking for

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

While not required, these are a plus:

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

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

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

Who we are

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

Who you are

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

What you'll do

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

What we're looking for

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

While not required, these are a plus:

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

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

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

RDQ427R179

Are you a mission-driven leader with a passion for how data and AI can play a meaningful role in addressing global challenges? Do you enjoy shaping narratives, building programs, and translating complex work into stories that inspire action?

As the Lead for Databricks for Good, you will own Databricks’ social impact initiative end to end. You will work closely with Databricks teams and with nonprofits, universities, and public-interest organizations to design and scale programs that apply data and AI to real-world challenges.

You will set the vision for Databricks for Good and ensure it delivers real, lasting impact, while clearly articulating how that impact is created and why it matters.

About Databricks for Good

At Databricks, we believe data and AI can be a force for positive change. Databricks for Good exists to ensure our platform empowers organizations working on humanity’s most pressing challenges, including responding to crises, advancing education, improving health outcomes, and accelerating climate action.

This role is an opportunity to define and lead that mission and shape how Databricks shows up in the world through meaningful, real-world impact.

What you’ll do

Your responsibilities will span program design and management, storytelling, and owning execution across Databricks and its partners. 

• Build and lead Databricks for Good from the ground up, defining its mission, success metrics, execution strategy, and long-term vision.
• Design and run high-impact programs such as social impact partnerships, hackathons, student and university initiatives, and nonprofit enablement programs.
• Serve as a public-facing representative for Databricks for Good by hosting events, delivering talks, moderating panels, and representing Databricks in global social impact forums.
• Own the partnership funnel for Databricks for Good technical engagements, with the goal of helping nonprofits apply Databricks to real-world challenges.
• Create compelling content - case studies, talks, blogs, and learning resources - that highlight how data and AI can be used for social good.
• Work cross-functionally with Field Engineering, Developer Relations, Marketing, Legal, and Sales to ensure social impact initiatives are scalable, technically sound, and aligned with company priorities.
• Act as a trusted internal advisor on social impact use cases, helping teams understand the needs, constraints, and operating realities of mission-driven organizations.
• Gather feedback from both internal and external collaborators to continuously improve programs and inform program direction.

The impact you will have

• Establish Databricks for Good as a credible, respected, and scalable social impact initiative throughout the tech industry.
• Enable nonprofits, universities, and public-sector organizations to unlock insights and outcomes that are uniquely possible with data and AI.
• Build durable partnerships that align Databricks’ strengths with real-world societal needs.
• Inspire employees, customers, and students to contribute their skills toward meaningful causes.
• Influence how Databricks technologies are used, taught, and evolved for public good.
• Help define what “data and AI for good” looks like at enterprise scale.

What we look for

• 7+ years of experience in social impact programs, developer relations, partnerships, technical program management, or a related field.
• Proven ability to build and scale programs from zero to one, with ownership over strategy, execution, and outcomes.
• Experience working with nonprofits, universities, NGOs, public-sector institutions, or mission-driven organizations.
• High-level technical understanding of Databricks’ product-market fit, enabling robust direction of partnerships and engagement selection.
• Exceptional communication and storytelling skills, with comfort presenting to both technical and non-technical audiences.
• Demonstrated ability to convene communities and stakeholders across sectors and geographies.
• High empathy, strong judgment, and the ability to navigate ambiguity while driving clarity and momentum.
• A collaborative mindset and a track record of working cross-functionally to turn ideas into execution.

As a Hunter Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.

Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.

The impact you will have:

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• Work directly with prospective, greenfield, customers on their 0 to 1 journey with Databricks 
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

• 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• Experience building distributed data systems at scale 
• Comfortable programming in, and debugging, Python and SQL
• Experience using agentic coding harnesses and demonstrable experience scaling your work leveraging them 
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in one of the following:
• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)
• Available to travel to customers in your region
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Nice to have: Databricks Certification

NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply.  We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

ABOUT THE ROLE AND OUR TEAM:

As a Senior Account Executive on our Venue team, you will hit and overachieve monthly sales goals by engaging with wedding professionals in our Venue and Catering categories across a variety of regions in the United States. Through high-volume cold calling and using a consultative sales process, you will build rapport with business owners to advise them on best practices and how to stay ahead of technology and industry trends through The Knot and The WeddingWire’s advertising platforms. Our Account Executives are independent, highly-motivated, and can successfully overachieve monthly sales goals. They excel in creating connections, building rapport with business owners and decision makers, and understanding their goals and needs. 

The Senior Account Executive, Venue role requires sales experience with the ability to manage a 3-week+ sales cycle and effectively manage a pipeline.

The expected salary for this job requisition is $70,000. The salary is just one component of TKWW's total rewards package for employees. The role is eligible for other total rewards such as health care insurance, 401(k) retirement account, paid sick time, flexible paid personal time off, and paid parental leave. This role is also eligible for variable compensation and/or performance bonuses.

Applications for this role are being accepted on a rolling basis.
 

RESPONSIBILITIES:

• Create and manage pipelines from start to finish with high outbound activity efforts (75 dials/day), including working with cold accounts and warm marketing leads.
• Consistently overachieve monthly revenue quotas as well as daily, weekly, monthly activity expectations.
• Manage a diverse pipeline, including navigating short and longer, multi-decision maker sales processes.
• Build and maintain strong rapport over the phone with potential clients to uncover prospect needs and give a strong, crisp and on-point presentation.
• Hold meetings with stakeholders, sell with curiosity, perform great discovery on their business needs, pain points and solution impact, and close new deals.
• Consistently follow up with potential clients to negotiate contracts and close agreements to maximize profits.
• Track notes on all interactions and keep opportunities in your pipeline up-to-date in Salesforce.
• Proactively identify and make recommendations for improvement in the areas of processes, efficiency and productivity.
• Act as an ambassador of the TKWW culture and values by being passionate about serving our couples and vendors.

SUCCESSFUL CANDIDATES HAVE:

• 3+ years of demonstrated success in B2B sales, selling to SMB, Mid-Market or Enterprise clients.
• Demonstrated track record of consistent monthly quota attainment.
• High-volume inside B2B cold calling phone sales experience is required.
• Ability to organize work days and be proactive with time management.
• Proven success in a fast-paced, constantly evolving and competitive team environment.
• Ability to work independently, as well as be a collaborative team member.
• Knowledge of different sales methodologies and a curiosity to be proactive and creative in new and different methods to reach success.
• Strong analytical skills to identify trends, understand challenges, propose solutions and evaluate results.
• Possesses grit and drive to improve one’s own sales efficiency and performance.
• Coachable and receptive to feedback.
• Salesforce proficiency, experience with Gong preferred. 
• Customer-facing experience; tradeshows and events preferred.
• Ability to thrive in a fast-paced environment and rapidly prioritize and adapt to changing initiatives.
• Excellent presentation, verbal, written and listening communication skills with ability to engage and persuade.
• Experience delivering client-focused solutions to customer needs.
• Excellent problem-solving and organizational skills. 
• Proactive culture keeper- sharing successes and uplifting others around them. 
• Bachelor’s degree preferred or equivalent work experience.

WORK MODEL:
This role is fully remote and not tied to any specific office location. While there are no regular in-office requirements, we encourage our remote team members to gather intentionally for key company and team events to stay connected and engaged.

#LI-Remote  #professional-track #dc

SLSQ427R14

As a Strategic Account Executive, your primary mission will be to identify, acquire, and grow new business opportunities across components of the DOW R&E and OUSD. This role is focused on securing new logos and driving revenue growth. You are a proactive "hunter" who thrives on building relationships, navigating complex sales cycles, and closing high-value deals. You will work closely with cross-functional teams to deliver tailored solutions that address client needs and establish long-term partnerships. You will report to the Director, Sales DOD.

The impact you will have:

• Secure new Enterprise accounts across multiple customers, creating a strong foundation for long-term partnerships.
• Develop and execute a focused strategy for identifying and winning high-potential accounts in untapped markets.
• Identify and close quick wins while managing longer, complex sales cycles.
• Plan, document, and drive the growth of Databricks usage in newly won accounts to maximize customer impact.
• Establish essential C-Level relationships, including Engineering, Platform, Architecture, and Data Science roles, who will, in turn, be your industry advocates.
• Use a solution-based approach to selling and creating value for customers.
• Develop a deep and detailed understanding of the customer's business.
• Provide leadership to the customer, important staff, and technical teams.
• Identify all important data use cases and buying centers in an opportunity, to increase the impact of Databricks in an organization.
• Orchestrate and use Databricks teams and ecosystem partners to maximize your impact on your sales motions.

What we look for:

• 7+ years of experience selling complex software deals to the region's recognizable organizations within the DOD/DOW space, preferably within R&E/ OUSD.
• Knowledge of segment priorities, buying processes, buying cycles, decision-making process, and the ecosystem.
• Background in selling usage-based PaaS/ SaaS solutions, or other Data/ AI/ML technologies.
• Experience in sales methodologies and processes, e.g. account planning, MEDDPICC, value selling, and Command of the Message.
• Experience in hunting in a greenfield space while also consulting with existing accounts to expand further use.
• Build customer champions and collaborative teams to support the implementation of the expansion plan.
• Understanding of how to develop a clear partner strategy and manage it successfully.

Why LeoLabs?

At LeoLabs, we’re building the living map of activity in space. Through our proprietary global radar network and AI-enabled analytics platform, we collect millions of measurements daily on more than 25,000 objects in low Earth orbit (LEO). Our radar-powered intelligence protects billions in assets, monitors adversarial behavior, and ensures safe operations for commercial and government missions.

We’re not just building technology, we are redefining global security, safety, and transparency in space. As orbital activity accelerates and threats grow more complex, LeoLabs is a trusted partner for Space Domain Awareness, Space Traffic Management, and Satellite Operations for top-tier space operators and allied defense organizations.

If you're looking to work on mission-critical challenges at the forefront of aerospace, national security, and AI, your impact starts here.

We are seeking an experienced and highly motivated Senior Manager of AI to join our team at LeoLabs. You will play a critical role in managing our new AI team. This is a team of approximately 5 engineers and a key part of the broader, 30-person software engineering organization. The AI team is responsible for customer-facing and internal AI and data engineering initiatives. This includes agentic AI development, orbital event detection and characterization, and LeoLabs’ data lake. The team leverages services built and maintained by other teams, including radar development and operations and catalog maintenance. You will be responsible for providing leadership to a cross-functional team of AI/ML Engineers, Data Engineers, and Software Engineers. You will ensure that our AI/ML algorithms meet strict performance requirements, that our data lake meets internal and external needs, and that our organization is a leader in agentic AI. 

Qualifications: 

• S., M.S in Computer Science, Software Engineering, Artificial Intelligence, or equivalent experience 
• Proven experience (7+ years) as a Software Engineering Manager or AI Manager in a fast-paced software development environment
• Hands-on, up-to-date experience with agentic AI technology.
• Extensive experience in building, rolling out, and maintaining cloud-based software services
• Experience deploying software services to US High Side networks
• Strong knowledge of software development and testing methodologies, best practices, and industry standards
• Experience working with large-scale distributed data platforms (e.g., Databricks, Spark) 
• Solid understanding of Agile and DevOps principles
• Excellent problem-solving skills and the ability to manage, lead, and mentor a team effectively
• Strong communication and interpersonal skills, with the ability to collaborate with various stakeholders
• Ability to work on-call outside of normal business hours during critical escalations
• Eligibility to obtain and maintain a U.S. personnel security clearance 

Preferred Qualifications : 

• Experience with cloud environments like AWS/GCP/Azure 
• Experience with databases like Postgres/MySQL 
• Experience with security requirements, including static and dynamic code analysis and penetration testing. 
• Background in Math/Physics or Orbital mechanics. 

Within 1 month, you’ll:  

• Complete our onboarding program designed to get you up to speed on our business, vision, and team 
• Gain an understanding about how your role fits into LeoLabs broader organization 
• Take over leadership of our new AI team  

Within 3 months, you’ll:  

• Own the AI teams’ OKRs and roadmap 
• Be leading, mentoring, and guiding the AI team to achieve these objectives 
• Be actively involved with the company’s AI and software roadmap planning 

Within 6 months, you’ll:  

• Have achieved significant progress in achieving the team’s key roadmap goals 
• Play a key role in driving excellence in our company’s AI/ML algorithm performance 
• Be regularly collaborating with stakeholders to define our AI and Data Engineering  
• Be successfully leading one of the most critical teams in the organization  

Within 12 months, you’ll:  

• Lead your team to continuously deliver on the company’s AI needs 
• Provide regular reports on AI team performance and results to the Senior and Executive Leadership Teams 
• Promote a healthy culture of algorithm and software excellence throughout the organization 

Perks and Benefits

• Global workforce: flexible remote/hybrid opportunities
• Work on complex, meaningful missions with real-world impact
• Unlimited paid time off for most roles
• Competitive salary and equity packages
• Comprehensive health, dental, and vision coverage
• Access to the forefront of commercial space operations and defense innovation

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, national origin, disability, or status as a protected veteran. 

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The Workplace Operations team ensures Robinhood offices run smoothly each day, supporting employees through reliable services, well-maintained spaces, and engaging workplace programs. The team partners closely with functions such as IT, Recruiting, People Operations, and Finance to deliver consistent and high-quality office experiences across locations. Team members focus on operational excellence, strong service standards, and creating environments where employees can do their best work!

As a Workplace Specialist, you will manage daily office operations in our D.C location and serve as a key point of contact for employees, vendors, and building management. You will oversee workplace services such as supplies, maintenance, and office programs while supporting events and onboarding activities. This role contributes to a welcoming, organized, and productive environment by maintaining high standards across facilities and services. You will also support office projects and coordinate with internal partners to ensure consistent workplace practices across locations.

This role is based in our Washington, DC office, with in-person attendance expected five days per week

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you'll do

• Manage daily office operations, including coordinating with building management, handling maintenance requests, and maintaining inventory of supplies
• Track office expenses and support budget management by monitoring forecasts and actual spend
• Plan and support employee events, onboarding activities, and office programs that strengthen employee engagement
• Oversee vendor services such as meals, snacks, office supplies, and facility maintenance to ensure consistent service quality
• Maintain office organization and functionality, including furniture updates, asset tracking, and cleanliness standards

What you bring

• 3+ years of experience in workplace coordination, hospitality, or event management
• Strong interpersonal skills and comfort serving as a primary point of contact within an office environment
• Clear problem-solving abilities with a focus on identifying issues and implementing practical solutions
• Experience organizing in-person and virtual events or team activities
• Strong organizational and time management skills with attention to detail across multiple priorities

What we offer 

• Challenging, high-impact work to grow your career.
• Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.
• Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents.
• Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more.
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits.
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

Robinhood’s consumer offerings include a growing portfolio of credit card products, such as the Robinhood Gold Card and Robinhood Platinum Card. The Card Partnerships team builds and scales strategic relationships that expand the value of these products across categories like dining, health and wellness, and travel. The team partners with product, marketing, finance, and legal teams to introduce new benefits and experiences for customers. You’ll join a team that prioritizes strong relationships, thoughtful deal structuring, and delivering measurable value for both customers and partners!

As a Senior Partnerships Manager, you will lead the sourcing, structuring, and execution of credit card partnerships across multiple verticals. You will collaborate with internal teams to launch and manage partnerships that deliver clear customer value and align with business priorities. This role includes identifying partners, building relationships, negotiating agreements, and scaling partnerships to support product adoption and revenue growth!

This role is based in our Menlo Park, CA, New York City, NY or Washington D.C offices, with in-person attendance expected at least 3 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. 

What you’ll do

• Identify and evaluate potential partners across dining, health and wellness, travel, and related categories to fuel cardholder value
• Structure and negotiate partnership agreements, including commercial terms and implementation approach
• Launch new partnerships by coordinating with product, engineering, marketing, finance, legal, compliance and operations teams
• Manage ongoing partner relationships, tracking performance and identifying opportunities for improvement or expansion
• Analyze partnership performance and use data to inform decisions and improve customer value proposition

What you bring

• You have 6+ years of experience in partnerships, business development, or a related field
• You have experience building and managing external partnerships, including negotiating and structuring agreements
• You have worked on complex deals involving multiple stakeholders and defined business outcomes
• You collaborate effectively with product, marketing, and operations teams to bring partnerships to market
• You communicate clearly and manage relationships with internal and external partners in a fast-moving environment
• You have experience in the credit card industry or in restaurants, hospitality, or related sectors

What we offer

• Challenging, high-impact work to grow your career.
• Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.
• Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents.
• Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more.
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits.
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

About the team + role

Robinhood's Money team is building the next generation of banking and spending products for all Americans. Our team members drive never-before-seen products and features from concept to launch to hyperscale. As a Product Manager, you will play a central role in shaping the future of our core banking product and the broader platform that powers it. You'll help define the systems, capabilities, and product foundations that enable new banking experiences, while partnering cross-functionally to bring products from concept through launch and scale.

This role is based in our Menlo Park, CA, New York, NY, and Washington, DC offices, with in-person attendance expected at least 3 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• Lead a team of engineers, designers, researchers, data scientists, and operators to better understand customers and their most pressing needs
• Establishing a product vision and shared set of priorities across the team and the company, which meet the most important needs of our customers
• Collaborate with cross functional stakeholders such as legal, compliance, operations, finance, and customer success to ensure products are built the right way
• Drive execution from concept through launch, including defining success metrics and iterating based on results

What you bring

• Bachelor’s, Master's, or equivalent experience
• At least 5 years of direct product management experience building high-quality consumer products; 7+ years preferred
• Superb product and business sense
• Excellent analytical and communication skills
• A strong sense of urgency and speed, with the ability to manage multiple priorities in a fast-moving environment
• High standards and a strong work ethic - you always bring your best and expect your colleagues to do the same
• Delight in bringing innovation and impact to customers, particularly in complex and dynamic environments
• Experience in fintech products is a plus, but not required

What we offer

• Market competitive and pay equity-focused compensation structure
• 100% paid health insurance for employees with 90% coverage for dependents
• Annual lifestyle wallet for personal wellness, learning and development, and more!
• Lifetime maximum benefit for family forming and fertility benefits
• Dedicated mental health support for employees and eligible dependents
• Generous time away including company holidays, paid time off, sick time, parental leave, and more!
• Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits

About the team + role:

The Chief Compliance Officer of Robinhood Money will manage and grow a scalable compliance program that supports our expanding suite of banking and credit card products. You will lead the development and execution of compliance strategies across our deposit, credit card, and related money services, while ensuring adherence to regulatory requirements at the state and federal level.

In this role, you’ll serve as a key partner to product, engineering, legal, and operations teams, and act as a primary point of contact with regulators. You will be responsible for designing and implementing policies, controls, and processes to ensure our compliance program is effective, forward-looking, and technology-enabled. You’ll also oversee AML and risk assessments, and support Robinhood Money’s operational scale through continuous compliance improvements.

This role is based in our Washington, DC; New York, NY; or Menlo Park, CA offices, with in-person attendance expected 5 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. 

What you’ll do:

• Build, lead, and scale a compliance program that supports our banking and credit card businesses, including oversight of money transmitter compliance, AML and sanctions, consumer protection, and regulatory reporting
• Oversee state regulatory audits and license renewals, particularly for financial products including credit cards and deposit accounts
• Serve as a strategic partner to product and engineering teams to support the design, launch, and growth of new financial products while embedding compliance-by-design principles
• Lead the development and execution of a comprehensive AML program, including Know Your Customer, transaction monitoring, and SAR filing, with a focus on banking and credit card use cases
• Advise executive leadership and cross-functional stakeholders on regulatory requirements and emerging compliance trends
• Own and continuously improve compliance policies and procedures to align with internal standards and external regulatory expectations
• Foster a strong culture of compliance throughout the organization by providing training, guidance, and oversight
• Manage relationships with state and federal regulators, respond to inquiries, and lead Robinhood Money’s exam readiness efforts
• Partner with enterprise compliance leaders and Robinhood’s other CCOs (Markets, Financial, Clearing, Crypto) to ensure alignment across all entities
• Evaluate third-party vendors and partners for compliance capabilities and risk mitigation support

What you bring:

• 10+ years of experience building and leading compliance functions in financial services, with deep expertise in banking, credit, or payments
• Direct experience working with state and federal regulators, and managing regulatory exams
• Familiarity with regulatory frameworks such as NYDFS Part 500 and 504, BSA/AML, UDAAP, and money transmission laws
• Ability to develop scalable compliance strategies for consumer financial products in a high-growth, tech-forward environment
• Comfortable operating in ambiguity and applying sound judgment to complex regulatory and product issues
• Trustworthy, self-motivated, and a team player who thrives in a fast-paced and entrepreneurial culture
• Passion for Robinhood’s mission to democratize access to America’s financial system

Leadership expectations:

Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them:

• Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech.
• Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly.
• Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity.

What we offer:

• Challenging, high-impact work to grow your career.
• Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.
• Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents.
• Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more.
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits.
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

P-1495

About Databricks

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

About the Role

Databricks is seeking a Senior Staff Product Operations Manager to serve as the chief architect of our internal operational ecosystem. This is a high-leverage leadership role embedded within Engineering, designed to orchestrate the complex intersection of technical innovation, product lifecycle maturity, and global Go-to-Market (GTM) acceleration.

In this capacity, you will move beyond the management of existing processes to lead the creation of a formal Operational Association. You will be responsible for designing the high-fidelity frameworks that allow our engineering organization to remain agile while ensuring that every product investment is data-driven, transparent, and rigorously aligned with our long-term commercial strategy. This role is purpose-built for a strategic thinker who excels at navigating the "gray space" between a deep technical roadmap and the sophisticated financial requirements of a global enterprise platform.

Impact

• Operational Orchestration: Define and govern the strategic engagement model between Engineering, Product, and GTM, ensuring that product lifecycle milestones are seamlessly integrated with field readiness and revenue velocity.

• Investment Intelligence: Act as a critical advisor to executive leadership, applying a consultant’s rigor to evaluate business investments. You will analyze resource allocation, unit economics, and the opportunity costs inherent in scaling a world-class Data and AI platform.

• Synthesis of Ambiguity: Transform disparate, multi-dimensional data signals from across the organization into coherent business insights. You will be the definitive voice in translating "engineering velocity" into "market impact," providing the clarity necessary for high-stakes decision-making.

• Systems Transformation: Lead the evolution of our product development lifecycle (PDLC). You will identify structural bottlenecks and design scalable solutions that enhance organizational throughput without sacrificing technical excellence.

• Strategic Connective Tissue: Serve as the authoritative bridge between the "How" of technical execution and the "Why" of business value, ensuring a unified language of success across our most senior stakeholders.

Key Responsibilities:

• Act as the connective tissue between Support, Product, Engineering, and Analytics to drive operational alignment, product readiness, and continuous improvement across support workflows.
• Lead and execute strategic initiatives to scale global Support operations, including coverage models, KPI frameworks, and support process enhancements.
• Translate operational pain points into product and tooling requirements—partnering with internal tools, engineering, and analytics teams to drive automation, triage efficiency, and AI assistant improvements.
• Build and maintain dashboards that measure support effectiveness, surface product-driven case trends, and track customer experience across support channels.
• Support quarterly and annual planning cycles, including headcount, capacity modeling, and budget alignment in partnership with Finance and Workforce Management.
• Influence senior stakeholders by turning support and operational insights into clear, data-driven narratives that inform product and business decisions.

What We Look For: 

• Professional Experience: Minimum of 9 years of professional experience in Management Consulting, Product Strategy, Technical Program Management, or Operations within the technology sector.

• Bachelor’s degree in a technical, mathematical, or analytical field (e.g., Computer Science, Engineering, Economics). An MBA is highly preferred.

• Demonstrated experience in designing and scaling operational frameworks or internal software systems within a high-growth SaaS or enterprise technology environment.

• Expert-level ability to navigate large, complex datasets using SQL-based tools and Business Intelligence (BI) platforms to drive strategic decision-making.

• Proven track record of leading high-stakes, multi-quarter initiatives involving diverse cross-functional teams such as Engineering, Product, and Sales.

• Exceptional ability to synthesize complex technical concepts into clear, actionable business strategies for non-technical executive audiences.

Nice to Have: 

• Familiarity with Databricks tools, especially for extract/transform/load functions
• Experience working on Support Operations for SaaS based companies.
• Familiarity with tools like Salesforce, Zendesk, Jira, Looker/Tableau, and operational workflows

Role Overview:

As a Field Engineer, you are the technical engine of a customer-facing pod, partnering closely with an Account Executive and BDR to drive successful evaluations, onboarding, and expansion for Materialize customers. You own the technical relationship from discovery through production and beyond. This is a hybrid pre-sales and post-sales role. You’ll spend the majority of your time working directly with customers running discovery, demos, and POVs, and guiding customers into production, while also contributing to repeatable assets that help scale the Field Engineering function. This role is ideal for someone who enjoys working directly with customers, thrives in technical ambiguity, and wants to help define how a category-defining infrastructure product is evaluated and adopted.

Our Field Engineers are based in our NYC office near Astor Place, with an expectation of at least 3 days per week in person.

Responsibilities:

• Lead technical discovery conversations and assess use case fit using Materialize’s qualification frameworks
• Design and deliver tailored demos and time-boxed POVs with clear success criteria
• Explain Materialize’s architecture and positioning relative to alternatives such as Flink, Snowflake, Databricks, ClickHouse, and custom-built systems
• Partner with Account Executives on deal strategy, technical qualification, and MEDPICC execution
• Maintain strong Salesforce hygiene, including technical risk flags and deal health updates
• Guide customers from closed-won to first production workloads
• Provide architectural guidance and support customers through early adoption
• Monitor usage patterns and surface expansion opportunities in partnership with Sales
• Participate in status reviews and QBRs for assigned accounts
• Build and improve repeatable assets such as demo environments, POV templates, and discovery playbooks
• Document best practices and contribute to internal enablement

What We’re Looking For : 

• 4+ years of experience in a customer-facing technical role such as Field Engineering, Solutions Engineering, Technical Consulting, or Solutions Architecture
• Strong understanding of modern data architectures, including relational databases, event streaming, and microservices
• Proficiency with SQL and the ability to reason about query behavior and performance
• Familiarity with cloud infrastructure (AWS, GCP, or Azure) and containerized environments
• Strong communication skills and comfort presenting to both technical and non-technical audiences
• A structured, process-oriented mindset paired with the flexibility needed in a fast-growing startup
• Experience with real-time or streaming systems (Kafka, Flink, Spark) is a plus
• Background in data infrastructure, developer tools, or technical consulting is a plus
• Scripting experience in Python, Go, or similar languages is a plus

Location: NYC (hybrid, minimum 3 days/week in HQ)
Base Salary: $145,00 - 160,000/year plus additional variable bonus and equity in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE

As a Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.

Reporting to the Field Engineering Manager, you will collaborate with customer stakeholders, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide one of our largest AI native customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.

The impact you will have:

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

• 7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• Experience building distributed data systems
• Comfortable programming in, and debugging, Python and SQL
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in one of the following:
  • Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
  • Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)
• Available to travel to customers in your region
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Nice to have: Databricks Certification

NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply.  We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform into one of our largest AI native customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your account and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritized customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• 7+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

The Work: 

• Analyze & Innovate: Uncover trends and anomalies, turning raw data into strategic intelligence. 

• Model & Predict: Develop and maintain models using machine learning, AI, and statistical techniques. 

• Code & Transform: Use Python (pandas, PySpark) and SQL for data parsing, ETL, and complex analysis. 

• Visualize & Communicate: Create interactive dashboards and visualizations with Power BI, Tableau, or Databricks. 

• Collaborate & Build: Partner with Data Engineers to define data requirements and support development. 

• Explore & Experiment: Research and test new tools to solve challenging problems. 

 Here’s what you need: 

• • Experience building NLP, LLM, or using GenAI tools (e.g. LoRA, LangChain, RAG, LLM Fine Tuning or PEFT) 
  • Proficiency in Python (pandas, PySpark) and SQL 
  • Hands-on experience with data visualization tools like Power BI, Tableau, or Databricks 
  • Strong quantitative and analytic abilities to analyze and validate data 
  • Understanding of analytical model development and data-driven decision-making
  • Must be a US Citizen 

 Bonus points if you have: 

• Experience designing and implementing a custom Generative AI solution
• Experience working in a cloud environment (Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP))
• Experience working with federal clients 
• Experience in a specific domain like Cybersecurity or Fraud Detection 

 Security Clearance:  

• Active Secret or Top Secret or TS/SCI or TS/SCI with polygraph clearance

The work: 

• Pipeline Architect: Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies. 
• Transformation Titan: Develop efficient data processing and transformation workflows to support analytics and reporting needs. 
• Integration Hero: Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets. 
• Collaboration Champion: Work closely with cross-functional teams (data science, analytics, business units) to design and implement data solutions that align with business goals. 
• Quality Guardian: Implement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability. 
• Automation Avenger: Contribute to data governance, security, and automation initiatives within the data ecosystem. 
• Cloud Commander: Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data solutions in a cloud-native environment. 

Here’s what you need: 

• Experience with cloud-based ETL services (e.g. AWS Glue, Google Cloud Dataflow, Azure Data Factory) 

• Experience with Cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery, Snowflake) 

• Experience with Python, SQL, Spark, and PySpark 

• Experience with data platforms like Databricks, Palantir, and Snowflake 

• Familiarity with data orchestration and data quality processes 

Bonus points if you have:

• Experience working with federal clients 

• Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack 

• Experience with Agile / Scrum 

• Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi 

• Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar 

 Security Clearance:  

• Active Top Secret or TS/SCI or TS/SCI with polygraph clearance

 #LI-DataAI

Job Overview: As a GCP Data Pipeline Developer & BigQuery Data Engineer, you will be responsible for designing, developing, and maintaining data pipelines on Google Cloud Platform (GCP). Your role will involve working with BigQuery to analyze and optimize large datasets, as well as implementing ETL processes to ensure data quality and integrity. Proficiency in foundational GCP services, BigQuery, data engineering principles, SQL, and PySpark will be essential for success in this position. Additionally, experience with ETL tools such as Qlik Data Integration or FiveTran would be a valuable asset in this role.

In this role, you will have the opportunity to work on complex data projects that require a deep understanding of cloud-based data processing and analysis. Your expertise in GCP and BigQuery will be crucial in developing efficient data pipelines that meet the organization's data processing needs. Strong SQL skills will be necessary for querying and manipulating data within BigQuery, while experience with PySpark will enable you to perform advanced data transformations and analytics. Overall, your ability to leverage these tools and technologies effectively will be key to driving data-driven decision-making within the organization.

Key Responsibilities:

• Develop and maintain GCP data pipelines.
• Design and optimize BigQuery data structures.
• Utilize SQL and PySpark for data processing.
• Collaborate with team members on data engineering projects.
• Implement ETL processes using tools like GCP Dataflow, Qlik Data Integration, or FiveTran.

Here's What You Need:

• Proficiency in foundational GCP services.
• Strong experience with BigQuery.
• Solid understanding of data engineering principles.
• Advanced SQL skills for querying and manipulating data.
• Experience with PySpark for data transformations and analytics.
• Familiarity with ETL tools such as Qlik Data Integration or FiveTran.
• Ability to design and implement scalable data solutions.
• Strong analytical and problem-solving skills.
• Excellent collaboration and communication skills.
• US Citizenship required, No Dual Citizenship

Bonus points if you have:

• Experience with other cloud platforms and big data technologies.
• Previous experience in a similar role within a data-driven organization.
• Certifications related to GCP, BigQuery, or data engineering.

Who we are

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

Who you are

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

What you'll do

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

What we're looking for

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

While not required, these are a plus:

• A dbt certification

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

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

Who we are

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

Who you are

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

What you'll do

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

What we're looking for

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

Our Stack

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

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

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

Who we are

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

Who you are

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

What you'll do

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

What we're looking for

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

While not required, these are a plus:

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

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

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

Who we are

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

Who you are

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

What you'll do

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

What we're looking for

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

While not required, these are a plus:

• Exposure to frontend integration with frameworks like Next.js

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

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