Who we are: 
Axon 911 brings together Prepared and Carbyne under Axon. Together, we are creating the only platform that combines modern 911 infrastructure with an AI intelligence layer—helping public safety agencies move faster, make better decisions, and deliver better outcomes in the moments that matter most.

911 is the backbone of public safety, yet the professionals behind it have long been held back by outdated technology. Axon 911 is here to change that. Joining this team means more than taking a job—it means helping shape the future of emergency response and building a safer, more connected world.

Your Impact

The Senior NOC Engineer reports to the NOC Manager and needs to have understanding of technical knowledge as well as a strategic mindset to enhance overall operational efficiency and deliver superior emergency collaboration technologies.

What You’ll Do 

• Hands-on: Direct hands-on activity in resolving complex technical issues and maintaining the organization's infrastructure stability. The candidate must demonstrate advanced troubleshooting techniques and problem-solving skills in a SaaS/Web Production environment.
• Strategic Technical Leadership: Exceptional in troubleshooting, enhancing service reliability, and leading technology teams towards continuous infrastructure improvement with innovative solutions.
• Talent Management and Development: Responsible for the recruitment, training, and development of the NOC Engineers Team. Drive the team to exceed KPIs related to issue resolution quality, customer satisfaction, and operational efficiency.
• Critical Incident Management: Handle escalations and manage multi-level support coordination. Ensure swift resolution of incidents, maintaining high customer satisfaction.
• Strategic Planning and Execution: Define, implement, and enforce essential policies such as configuration and change management to uphold network integrity.
• Communication and Collaboration: Facilitate cross-departmental meetings and engage with Carbyne's customers, promoting a culture of transparency and customer-first ethos.

What You Bring

• Demonstrated hands-on expertise in monitoring technologies and proficient troubleshooting in a Production environment. - A must!
• Minimum 3 years of experience as a NOC Engineer in a SaaS company, and at least 2 years as a NOC Manager. - A must!
• Proven ability to design and implement advanced monitoring systems for early detection and resolution of service issues in SaaS/Web environments, ensuring optimal service availability (Using platforms like Datadog, Kibana, Grafana, Coralogix or similar).
• Ability to create, maintain and optimize technical documentation, customer facing strategies and customer support complex methodologies.
• Exceptional problem-solving skills and a high sense of urgency for issue escalation and resolution.
• Strong interpersonal skills, with the ability to build relationships across departments and with partners.
• Ability to work flexible hours (as required) to accommodate off hours activities (e.g., infrastructure deployments), project deadlines, and team collaboration needs.
• Experience in advanced cloud services.
• In-depth knowledge with VoIP, SQL databases, and scripting languages.
• Experience with cross platforms integrations.
• Background in user testing/QA flows
• Demonstrating Customer Success Strategies.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Biohub operates one of the largest AI compute clusters dedicated to biology, spanning three frontier research institutes with some of the world's leading biologists. We're not a startup trying to find product-market fit, and we're not a pharma company optimizing a pipeline. We're building frontier AI for fundamental science, as open science, at a scale no one else is doing. This is a unique moment for scientific acceleration. The problems are among the hardest and most impactful problems you can choose to work on, and we move at a pace that meets this moment. 

Our research spans:

• Frontier molecular modeling, from protein language models (e.g., ESM) to structure prediction (e.g., ESMFold) and beyond. 
• Scaled biological foundation models trained on some of the largest GPU clusters dedicated to science
• Imaging foundation models trained across the world's largest microscopy datasets
• Reasoning and agentic systems that connect frontier LLMs with biological foundation models
• Mechanistic interpretability of biological foundation models: extracting new biological knowledge directly from model weights
• Scientific data at unprecedented scale: AI systems to collect, curate, and learn from some of the richest biological datasets ever assembled

Join our Team!

As an ML Engineer, you'll join some of the strongest infrastructure engineers in AI, building the systems that connect everything together. The infrastructure problems you solve directly determine what science becomes possible. 

What You'll Do

• Work with high-dimensional scientific data formats and contribute to backend compatibility, format evaluation, and I/O performance benchmarking at petabyte scale.
• Define and shape the engineering patterns your team and collaborating researchers will build on for years; the abstractions you write today become the foundation others depend on at scale.
• Work at the intersection of AI systems and biological discovery, where the infrastructure problems you solve directly determine what science becomes possible.
• Deploy models to production and manage artifact tracking across models and datasets.
• Design and optimize GPU-native data loading pipelines for large-scale multi-dimensional tensor workloads, including profiling and resolving hardware utilization bottlenecks across multi-backend systems.
• Work on simplification and improvement of codebase abstractions to accelerate research momentum.
• Build and maintain primitives for pre-training infrastructure that ensure the reliability and continuity of large-scale training runs.
• Help cultivate best practices in MLOps, and think about the full ML lifecycle, including data, fine-tuning, deployment, reliability and monitoring.
• Possesses the ability to execute complex modifications to the research pipeline, such as fast data loading and distributed training.
• Handle DevOps responsibilities, focused on making all engineers and researchers more productive. This includes tasks like cluster monitoring, unit testing and integration testing of research codebase, and continuous integration.
• Collaborate with partner researchers and engineers to deploy our technology within external infrastructure.

What You'll Bring

• 5+ years of industry experience building and deploying machine learning infrastructure at scale.
• Hands-on experience with PyTorch, including custom training loops, distributed training, or low-level performance work.
• Familiarity with GPU-native data I/O tools and large-scale tensor formats (e.g. Zarr, HDF5, TensorStore, or similar).
• Experience with distributed computing frameworks such as Apache Spark, Dask, or Ray.
• Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
• Experience building or working with AI agent frameworks is a plus.
• A track record of building systems that other engineers and researchers depend on. Not just running experiments, but shipping infrastructure that scales.

Compensation

The future anticipated Redwood City, CA, and New York City, NY base pay range for a role in this field is $214,000 to $335,000 annually. Final compensation is based on the level at which you are hired. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. 

Benefits for the Whole You 

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. 

• Provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Paid time off to volunteer at an organization of your choice. 
• Funding for select family-forming benefits. 
• Relocation support for employees who need assistance moving

Please note that applying to this opportunity does not guarantee that we will be in touch with you regarding our opportunities. Our recruiting team will contact you if your experience aligns with the skills we seek for future open positions. We will keep your interest on file, contact you as opportunities arise, and send you information about the exciting work we are doing at Biohub. You can opt out at any time! 

#LI-Hybrid

ALLIANCE SOLUTION ENGINEER, AWS (Pre-Sales Engineer) 

Location: US

Focus: Technical Pre-Sales & Co-Sell Support 

Region: North America 

The Opportunity 

VML Enterprise Solutions is expanding our technical pre-sales capability to support AWS alliance-powered growth in North America. We're seeking a hands-on technical expert to prove the value of our joint AWS solutions—delivering demos that wow, POCs that convert, and reference architectures that accelerate pursuits. 

This role bridges AWS technology and VML delivery, providing co-sell technical support that removes doubt, proves feasibility, and gives clients confidence that VML can deliver. You will work alongside Alliance Sales and Alliance Solution Leads to support pursuits with technical depth, proof-of-concept delivery, and client-facing credibility. 

Your POCs become production systems. Your architectures become blueprints for transformation. Your technical credibility tips competitive pursuits in VML's favor. 

Role Summary 

This is a technical pre-sales role focused on enabling AWS co-sell success. You provide hands-on technical support for AWS-related pursuits across North America—building reference architectures, delivering client-facing demos, and leading POC engagements that prove VML's delivery capability. 

Accountability Model: Delivery metrics. Success is measured by POCs delivered, POC-to-production conversion rate, reference architectures created, and technical win rate on supported pursuits. 

Core Responsibilities 

1. Co-Sell Technical Support (50%) 

• Provide technical pre-sales support for AWS co-sell opportunities across North America 

• Deliver compelling technical demos and presentations to client technical teams alongside AWS SAs 

• Lead POC engagements—scoping, building, and presenting proof-of-concept solutions on AWS 

• Present reference architectures and solution designs that address client requirements 

• Support RFP/RFI responses with technical content, architecture diagrams, and demo assets 

• Participate in technical deep-dives with client architects and engineering teams 

• Remove technical objections and build client confidence in VML's AWS delivery capability 

• Coordinate with AWS Solution Architects (SAs) and Specialist SAs on joint technical engagements 

2. Reference Architecture Buildout (30%) 

• Create reference architectures for common AWS use cases and industry patterns 

• Build and maintain demo environments, assets, and reusable components on AWS 

• Develop technical documentation, implementation guides, and best practices 

• Stay current on AWS technology roadmaps, new services, and capabilities 

• Build expertise in priority AWS services: Bedrock, SageMaker, Personalize, AMC, Clean Rooms, Lambda, Step Functions 

• Collaborate with Alliance Solution Leads on architecture standards and patterns 

• Contribute reference architectures to AWS Partner Central and internal repositories 

3. Enablement & Knowledge Sharing (20%) 

• Train VML delivery teams on AWS technologies and implementation patterns 

• Support proposal teams with technical content and solution design 

• Share best practices, lessons learned, and reusable assets across the alliance team 

• Coordinate with AWS technical teams (SAs, CSAs, ProServe) on joint solutions 

• Maintain AWS technical certifications and stay current on new offerings 

• Support hackathons and technical enablement events 

Technical Focus Areas 

• Generative AI: Amazon Bedrock, SageMaker, generative AI application patterns 

• Data & Analytics: Amazon Marketing Cloud (AMC), AWS Clean Rooms, data lakes, analytics pipelines 

• Customer Experience: Amazon Personalize, Amazon Connect, serverless architectures 

• Modern Applications: Lambda, Step Functions, API Gateway, container orchestration 

• Integration Patterns: Event-driven architectures, microservices, API design 

Team Leadership & Management 

Accountability: Accountable for individual technical contribution. Mentorship and knowledge sharing expected but not primary measure of success. 

Leadership Expectations: Train and mentor delivery teams on partner technologies. Share best practices and technical standards across the organization. Coordinate with partner technical resources on joint solutions. 

Management Scope: Individual contributor; may mentor junior engineers and coordinate with partner technical resources. 

Success Metrics 

• POCs delivered (20+ annually) 

• POC-to-Production conversion rate (80%+) 

• Reference architectures created and published (15+) 

• Technical win rate on supported pursuits 

• Demo effectiveness ratings 

• AWS certification maintenance 

• Internal enablement sessions delivered 

Qualifications 

Required 

• 6-10+ years in technical pre-sales, solution architecture, or technical consulting 

• Hands-on AWS expertise with demonstrated project delivery 

• Strong demo/POC delivery track record 

• Enterprise architecture patterns knowledge 

• Technical presentation skills and client-facing credibility 

• Background in Global Systems Integrator (GSI), agency, or professional services environment 

Preferred 

• AWS certifications: Solutions Architect Professional, specialty certifications (ML, Data Analytics) 

• Experience with Amazon Bedrock and generative AI implementations 

• Familiarity with Amazon Marketing Cloud (AMC) and advertising technology 

• Previous AWS partner company or direct AWS experience 

• Vertical compliance familiarity (HIPAA, PCI, etc.) 

• Experience supporting co-sell motions with AWS field teams 

• Bachelor's degree in Computer Science, Engineering, or related field 

Role Positioning 

This is a technical expert role that enables co-sell success—not a quota-carrying seller, alliance relationship manager, or post-sale delivery engineer. 

You will be in the room for technical deep-dives with AWS SAs and client architects. You will build the POCs that prove we can deliver on AWS. You will create the architectures that become client solutions. And you will be the technical credibility that tips competitive AWS pursuits in VML's favor. 

Your technical excellence directly enables AWS alliance revenue growth. 

About VML Enterprise Solutions 

VML Enterprise Solutions is a global leader in technology-driven transformation, combining deep industry expertise with strategic alliances across AWS, Google Cloud, Adobe, Microsoft, Salesforce, and an expanding ecosystem of platform and data partners. As part of WPP, we bring unmatched capabilities in customer experience, commerce, and data—helping the world’s leading brands reimagine how they connect with consumers through the intelligent application of technology. 

About the Role
Success Academy Charter Schools is seeking an experienced AI Product Manager to drive the adoption and deployment of artificial intelligence tools across our organization. This is a high-impact, cross-functional role that sits at the intersection of technology, education, and operations. You will serve as the primary champion for AI literacy and capability-building at SA, partnering with teams throughout the network to identify opportunities, launch AI-powered projects, and upskill staff to work confidently with emerging tools. We are building toward becoming the first AI-native K–12 enterprise in the country, transforming every workflow, from classroom content to legal contracts to college counseling, into an AI-first process. The person in this role will be at the center of that transformation.

What You’ll Do:

AI Training & Enablement

• Design and deliver hands-on training programs to equip teams across SA with the AI skills and workflows they need to do their jobs better and faster.

• Develop practical guides, playbooks, and resources that demystify AI tools for a non-technical audience.

• Build a community of AI champions within SA’s departments, fostering a culture of experimentation and continuous learning.

• Stay current on the latest AI developments and translate them into actionable opportunities for the organization.

AI Project Deployment

• Partner with department leaders to identify, scope, and prioritize AI integration opportunities across academic, operational, and administrative functions.

• Own end-to-end project management for AI deployments — from requirements gathering and vendor evaluation through implementation, testing, and rollout.

• Manage relationships with AI tool vendors and external partners, ensuring deliverables meet SA’s quality and compliance standards.

• Define success metrics for each AI initiative and track outcomes, sharing learnings with senior leadership on a regular cadence.

• Collaborate with IT, data, legal, and compliance teams to ensure responsible, secure, and equitable AI adoption.

Required Qualifications

• 4+ years of experience in project management, technology implementation, or a related field.

• Demonstrated fluency with modern AI tools and platforms, with hands-on experience using Claude (Anthropic) and OpenAI products in a professional setting.

• Proven track record of managing complex, cross-functional projects from inception through successful delivery.

• Strong communication and facilitation skills — able to translate technical concepts for diverse audiences and inspire confidence in AI adoption.

• Comfort working in fast-moving, ambiguous environments where priorities evolve, and creative problem-solving is essential.

• Ideally, an Engineer who is looking to become a Product Manager is a HUGE bonus!

Preferred Qualifications

• Familiarity with agentic AI frameworks and comfort building or overseeing agent workflows.

• Experience with rapid app development platforms such as Lovable, Replit, or similar AI-assisted build tools.

• Knowledge of AI governance, data privacy considerations, and responsible AI principles.

Hex's user base is continuing to grow rapidly. We are hiring a Sales Engineer to partner with potential customers to support their Hex evaluations.

About the role

Hex is redefining how teams work with data - combining notebooks, apps, BI, and AI-native workflows into a single collaborative analytics platform. Companies like Anthropic, Cursor, and Brex rely on Hex as a core part of how their data teams operate.

We’re at an exciting stage of growth. Hex is scaling rapidly, with strong momentum in the mid-market and SMB segments. This is a high-impact moment to join: our go-to-market motion is accelerating, our AI capabilities are evolving quickly, and Sales Engineers play a central role in shaping how we win.

As a Sales Engineer, you will leverage your product, ecosystem, and technical expertise to shape how our potential customers evaluate and adopt Hex. You will partner with the Sales team to help prospects understand the challenges in their current state, connect Hex’s value to those challenges, own the technical evaluation, and set them up for long-term success as a customer. This is a consultative, highly technical position where you’ll influence deal strategy, inform product direction, and act as the voice of the customer.

If you want to learn more about the team, what we do, and how we work, please check out our team page!

What you will do

• Serve as a trusted technical advisor to data teams (think: Data Scientist or Analyst writing SQL and Python) and build strong relationships to help them get the most out of Hex during their evaluations
• Own the technical sales cycle and work with end users throughout the Sales cycle from discovery and product demos through trials, and proofs of concept
• Partner closely with Account Executives to develop opportunity-level strategy, execute evaluations, and share feedback to improve your partnership
• Inform the product roadmap by synthesizing product feedback from prospects to share with internal Engineering & Product teams
• Project manage the architecture, security, and technical reviews that prospects require
• Develop content to support users who are a part of evaluations ie. demo projects, documentation, videos, etc.
• As needed, travel to customer on-sites and marketing events to deliver demos and build strong customer relationships

Who you might be

You might be a fit for this role if you have:

• 5+ years of professional work experience
• 3+ years in a Sales Engineer, Solutions Engineer, or similar customer-facing technical role
• Experience working with Mid Market customers (250-2500 employees)
• Experience with land POC/Technical Sales Motions
• Familiarity with data science tooling and workflows, including Python, SQL, and BI tools (Bonus points if you have spent lots of time in notebooks, SQL IDEs, or app-building frameworks.)
• A strong track record of talking to customers - from IC users to senior stakeholders - and solving their problems
• You're an excellent communicator who builds empathy, shares feedback, and grows successful relationships with internal and external stakeholders
• A generalist technical skillset: you don't need a CS degree, but should have a passion and interest for technology and be a creative problem solver
• Experience or interest in working in an early-stage startup environment

In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.

The OTE (base + variable) range for this role is: $175,000 - $200,000.

The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the process.

By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.

About the Role

As a Senior App Platform Engineering Manager at Betterment, you will lead the Mobile Platform team while staying deeply connected to the technical work that powers our applications. This is a unique opportunity to blend engineering leadership with hands-on mobile platform expertise — guiding a team of talented engineers building the shared frameworks, infrastructure, and tooling that mobile product teams rely on every day.

You will be the connective tissue between people leadership and technical excellence: mentoring engineers, shaping platform strategy, and rolling up your sleeves to ensure the right architectural decisions are made. Betterment’s mobile platform enables engineers across the company to ship great code confidently, and you’ll be responsible for making that possible at scale.

This role is based out of our NYC office. Below we've reflected the base salary range for this position. Actual salaries may vary depending on factors including but not limited to location, experience, and performance. The range listed is just one component of Betterment’s total compensation package for employees. 

• New York City: $200,000-230,000

This job may also be eligible for variable compensation in the form of a company incentive bonus. 

A Day in the Life

• Manage a team platform mobile engineers building shared mobile frameworks, libraries, driving migrations and developer tooling that power Betterment’s customer-facing applications.
• Foster career development and align platform roadmap opportunities with each engineer’s growth interests, keeping them technically engaged and challenged.
• Cultivate a team culture that values agility, accountability, constructive feedback, and celebrates successes.
• Be a hands-on technical mentor: dive into the codebase regularly, participate in code reviews, partner with stakeholders to shape solutions, and drive effective technical decision-making.
• Lead medium-to-large scale platform initiatives — such as cross-cutting migrations and shared library rollouts — balancing tradeoffs to deliver high-quality solutions continuously and iteratively.
• Champion maintainability and reliability by advocating for the long-term stability of the mobile platform your team builds.
• Balance speed of delivery with correctness and quality in every project your team undertakes.
• Continuously refine team processes and practices to deliver high-impact, high-quality outcomes for the business.
• Collaborate closely with Product, Design, Engineering, and fellow mobile engineers to ensure platform capabilities align with business and customer needs.
• Identify and address strategic technical challenges with long-term impact across Betterment’s mobile engineering organization.
• Develop deep domain and industry knowledge to be a highly effective partner across internal and external stakeholders.

What We’re Looking For

• Experience in formal Engineering Management of direct reports.
• Experience building and maintaining mobile applications, with strong expertise in mobile technologies and React Native development; familiarity with the underlying iOS and Android platforms required.
• Hands on experience designing and maintaining shared mobile libraries, frameworks, or platform infrastructure for use across multiple product teams.
• Proven ability to be a hands-on technical contributor: comfortable reviewing code, contributing to architectural decisions, and engaging directly with the codebase when needed.
• Experience managing, mentoring, and inspiring talented engineers, guiding them toward excellence in both professional growth and project outcomes.
• Familiarity with React native and/or Flutter, GraphQL and mobile networking best practices.
• Strong understanding of software architecture, scalability, and performance considerations in mobile applications.
• Experience leading large platform migrations and driving cross-team adoption.
• A history of fostering accountability and ownership, motivating teams to take initiative and consistently deliver right-sized solutions.
• Ability to translate business strategy into engineering initiatives that drive delivery of meaningful outcomes.
• Strong track record leading projects, driving adoption of platform improvements, and making pragmatic tradeoffs while maintaining quality.
• Effective collaborator capable of working with other engineering teams, product managers, design, non-technical stakeholders, and third-party vendors.
• Passion for software engineering, developer experience, and creating what doesn’t yet exist.
• Appreciation for agility and pragmatism in software development; ability to thrive in a startup-like environment balancing autonomy with collaboration.

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

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

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 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 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 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 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

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

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

Metropolis is seeking a Senior Software Engineer to lead the design and implementation of our foundational incentive and rewards platform. In this role, you will act as a strong steward of our backend systems, building the core infrastructure that connects real-world vision signals with personalized member experiences. You are an expert-level engineer who can explain complex business and technical requirements, mentoring others while driving large-scope projects to completion. You thrive on high-growth challenges and are eager to build high-quality, scalable systems that bridge digital engagement with physical arrivals.

What you'll do

• Design and implement the backend services that power the Metropolis incentive and rewards infrastructure
• Build real-time event streaming architectures to process and react to high-frequency signals from the physical world
• Develop scalable compliance and preference management services to ensure cross-vertical message delivery integrity
• Architect intelligent decisioning frameworks that evaluate user context and profiles to deliver personalized experiences
• Create robust service architectures to manage product eligibility, partner configurations, and budget constraints
• Implement comprehensive attribution and measurement systems to quantify user engagement and campaign efficacy
• Scale and maintain multi-modal identity systems that bridge digital tokens with real-world identifiers
• Collaborate with cross-functional teams in Product, Marketing, and Data to define the long-term technical roadmap
• Mentor team members and lead technical discussions to drive continuous improvement of the engineering platform
• Drive the full software development lifecycle from initial conceptualization through to production deployment

What we're looking for

• 6+ years of software engineering experience
• BS or MS in Computer Science or equivalent work experience
• Working knowledge of Scala, Java, or other JVM languages supporting functional programming
• Experience building distributed systems using microservices, SOA, and event-driven architectures
• Deep understanding of agile processes and the software development life cycle, including TDD/BDD and CI/CD
• Experience with database technologies such as MySQL and RDS
• Proven ability to design and build highly available and scalable systems
• Excellent written and verbal communication skills for presenting complex technical information
• Professional exposure to developing large-scale, high-quality systems for consumer-facing applications

While not required, these are a plus:

• Hands-on experience with container technologies and infrastructure as code
• Previous experience working in innovative, high-growth environments 

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 $150,000.00 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

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 Staff Software Engineer to lead the technical evolution of our Incentive Offers platform, serving as a critical architect for our identity, decisioning, and measurement infrastructure. You will play a pivotal role in transforming vision-based location signals into a scalable demand engine for our partners by building the platform layer that connects arrivals to automated campaigns. As a technical steward and influencer, you will solve complex technical challenges that few others can while mentoring engineers and setting the direction for project impact and engineering craft across the organization.

What you'll do

• Define the technical strategy and long-term roadmap for the Incentive Offers platform
• Architect scalable services for offer management, campaign eligibility, and business rule enforcement
• Design high-throughput infrastructure for real-time member communication and preference management
• Develop identity resolution systems that connect physical-world vehicle signals with digital member profiles
• Build robust attribution and measurement engines to track closed-loop redemption across diverse verticals
• Engineer seamless integrations between our platform and external partner systems or point-of-sale technologies
• Mentor senior engineering talent and advocate for high standards of engineering craft and efficiency
• Solve complex distributed systems problems related to high-volume transaction processing and data consistency
• Partner with Product and Marketing leaders to translate business objectives into scalable technical solutions
• Identify and resolve systemic bottlenecks to improve developer velocity and system reliability

What we're looking for

• Advanced degree in Computer Science or a related technical field
• 8+ years of experience building customer-facing applications and complex distributed systems
• Demonstrate expert proficiency in Scala, Java, or similar JVM-based languages
• Experience with AI/ML tools to improve engineering productivity or system intelligence
• Show a proven track record of leading technical strategy for significant engineering initiatives
• Possess a strong background in architecting data-intensive platforms and real-time event-driven systems
• Communicate complex technical concepts effectively to both technical and non-technical stakeholders
• Mentor engineers to foster a high-performance engineering culture and technical growth
• Design for operational excellence including observability, monitoring, and automated testing
• Navigate high levels of ambiguity and deliver results in a fast-paced environment

While not required, these are a plus:

• Familiarity with marketing technology stacks or consumer-facing loyalty platforms
• Experience working in high-growth startup environments or industry-leading tech companies

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 $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' 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

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease, and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working, and playing remarkable, giving us back our most valuable asset, time.

Who you are

Metropolis is seeking a Staff Software Engineer for our “Network Expansion” team. You will play a key role in building new functionality to support our expansion into new mobility verticals and larger, more complex parking markets. This role requires an individual who thrives in fast-paced environments, working both cross-functionally with product, design, and operations as well as working across multiple engineering teams. 

What you'll do

• Provide technical direction that influences the entire company by formulating and implementing a technical vision and roadmap
• Lead large, cross-team initiatives through the entire development lifecycle, from ideation and requirements through successful launch
• Lead multiple engineering teams (10-15 engineers) towards a common goal
• Work cross-functionally with designers and product managers to understand, model, and solve real-world problems
• Own the outcomes! You’re responsible for real-world metrics shifts and company-defining business outcomes, not just for shipping software 
• Moderate technical discussions, evaluate new techniques, and ensure our platform is constantly evolving and improving
• Leverage best practices in automation testing and deployment to enable rapid iteration and launch of new features
• Help build a culture where bugs and mistakes in Production are treated as opportunities to improve the platform
• Be a great coach to bring the best out of our engineers and a key driver of hiring top talent

What we're looking for

• MS or BS in Computer Science or equivalent work experience. Strong fundamental computer science skills
• 10+ years of experience building customer-centric applications and products
• Proven track record of designing and delivering distributed systems and software products in consumer-facing applications
• Experience with microservices, event-driven architectures, and related technologies and paradigms
• Experience with Agile engineering processes that support the entire software development life cycle, including TDD/BDD, CI/CD, and related build/test/deploy processes
• Experience with database technologies, especially MySQL and Postgres.
• Excellent written and verbal communication skills with a proven ability to present complex technical information clearly and concisely to a variety of audiences
• Track record of successful cross-functional collaboration while building customer solutions in B2C and B2B settings
• Experience succeeding in situations with high levels of ambiguity
• Able to work in the office in one of Santa Monica (Los Angeles), New York City, or Seattle

While not required, these are a plus:

• Advanced-level knowledge of Scala
• An advanced degree in a technical field, such as computer science
• Previous experience working inside innovative, high-growth environments
• Experience with leveraging AI technology to streamline engineering activities

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 $220,000 USD to $250,000 USD annually. The actual base pay offered is determined by several 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 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.

Who we are

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease, and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working, and playing remarkable - giving us back our most valuable asset, time.

Who you are

Metropolis is seeking a Staff Software Engineer to join our Revenue Platform team. In this role, you will own the technical direction for our billing, payments, and invoicing infrastructure, charting the course for a system that already processes tens of millions in monthly transactions. You will balance immediate business needs with long-term architectural improvements, identifying high-impact enhancements and designing practical migration strategies to support our rapid growth.

As a technical leader, you will partner closely with engineering, finance, and operations teams to solve complex challenges involving pricing rules, subscription billing, and enterprise invoicing. You are a systems thinker who enjoys understanding how things work and building the roadmaps that improve a platform while it runs. Your work will directly shape how Metropolis monetizes its platform and expands into new verticals beyond parking, ensuring our financial systems remain resilient, compliant, and remarkably efficient.

What you’ll do

• Own the technical architecture and evolution of Metropolis's billing, payments, and invoicing systems, establishing standards for financial accuracy, transaction integrity, and compliance that ensure every dollar is correctly captured and accounted for
• Design and implement resilient payment processing with support for multiple payment gateways (Stripe,  etc.), intelligent routing between processors, retry strategies for failed transactions, and graceful handling of partial failures to maximize payment success rates
• Build comprehensive monitoring and reporting for revenue operations, including payment success rates, billing accuracy metrics, reconciliation dashboards, failed transaction alerts, and audit trails that provide visibility from customer transactions to accounting close
• Partner with finance and operations teams on payment failures, billing disputes, refund workflows, and reconciliation issues – building tools and automation that reduce manual intervention and improve mean time to resolution for customer-impacting revenue issues
• Drive adoption of revenue system best practices across services, including idempotent payment processing, distributed transaction handling, compensation workflows for failures, audit logging, and testing strategies that ensure financial correctness
• Own integrations with external systems, including payment gateways, ERP, data analytics, etc., ensuring reliable data flow and maintaining compliance requirements across the revenue stack

What we’re looking for

• 8+ years of hands-on engineering experience with a focus on building revenue systems like payment platforms
• Strong systems thinking for financial correctness with proven ability to design distributed revenue systems that handle edge cases gracefully: partial failures, duplicate requests, timing issues, currency conversion, tax calculation, and maintaining transaction integrity across service boundaries
• Database and financial data expertise, including transaction isolation, audit logging, point-in-time recovery, handling financial data migrations, and experience with systems that require both high availability and absolute correctness
• Payment gateway and integration experience with production knowledge of Stripe, PayPal, or similar processors; tax calculation services; accounting system integrations; and the operational reality of depending on external financial services, including compliance requirements like PCI-DSS
• Excellent technical communication with the ability to influence technical decisions across teams (particularly finance, accounting, and data teams), document complex systems, conduct post-mortems, and establish reliability standards organization-wide
• Experience with sophisticated usage of rapidly developing AI-assisted development skills in real-world codebases, including fluent use of Claude Code/GPT Codex/Windsurf or similar tools in multi-agent mode, spec-driven development (SDD),  MCP/skills optimization, context/prompt engineering
• Local to the Seattle area

While not required, these are a plus

• BS or MS in Computer Science or a relevant engineering discipline
• Expert-level revenue systems engineering with hands-on experience building billing platforms, payment processing pipelines, reconciliation systems, and handling challenges like idempotent transactions, failed payment retries, proration logic, multi-currency support, and revenue recognition – you've seen these problems before and know the patterns that work
• Expert revenue systems engineering with hands-on experience building billing platforms, payment processing, reconciliation, and managing complex challenges like idempotent transactions, payment retries, proration, multi-currency support, and revenue recognition.
• Financial systems expertise with deep experience implementing audit trails, reconciliation workflows, revenue reporting, and compliance controls at scale – you understand what it takes to maintain penny-perfect accuracy
• Java expertise with a deep understanding of JVM performance, concurrency, and operational characteristics. Scala experience is a big plus
• Experience with AI-powered development tools such as Claude Code, GitHub Copilot, or similar agentic coding tools for enhanced productivity

  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 $220,000 USD to $250,000 USD annually. The actual base pay offered is determined by several 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 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.

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

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

As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any identified issues or concerns to successful conclusion
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Deliver product and technical briefings / presentations to potential clients
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

Who You Are:

• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer
• Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering
• Experienced in programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc.
• Someone with a minimum of 3+ years in a Sales Engineering or DevOps Engineering role
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 45% of the time

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: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

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

#LI-Remote

Our Global Mid-Market (MM) Revenue Strategy & Operations (RSO) team is seeking a Global Mid-Market Strategy & Operations lead to partner closely with cross functional partners to improve the demand generation ecosystem. This role will sit at the intersection of MM Sales, RTech, Central Ops, and MarOps, with a core focus of improving the demand generation engine for mid market.   This includes in depth analyses,  lead flow improvements, automation, (e.g., Gong, Salesforce), seller enablement and other areas that are critical to improving conversion rates.

This is a highly strategic and operational, hands-on role: you will be responsible for how leads move through our systems and how we continuously improve workflows to drive pipeline and revenue.

Location: New York City office three days a week

Responsibilities

Strategy & Continuous Improvement

• Support the development of the global MM demand generation strategy through analysis, experimentation, and structured recommendations.
• Propose and run test-and-learn initiatives to improve lead quality, routing, and seller productivity, with clear measurement and readouts.
• Identify root causes and opportunities to drive up conversion rates

Workflow Automation & Process Reliability

• Build and scale automated workflows in partnership with Marketing Ops, Central Ops and Sales (e.g., lead scoring, routing, follow-up cadences) that reduce manual work for sellers and increase speed-to-contact.
• Monitor daily system health, troubleshoot issues in SFDC, Gong, and related tools, and ensure high-fidelity data and process reliability.
• Act as a first-line problem solver for MM sales managers and reps on lead-flow and tooling issues, turning repeated pain points into scalable process or automation fixes.
• Translate qualitative feedback from the field into structured problem statements and prioritized solutions and work with cross functional teams to solve.

Outreach & Sequence Optimization

• Collaborate with Marketing and acquisition managers to engineer and iterate outreach sequences and playbooks that align to campaigns and MM objectives.
• Use Gong and other tooling to track performance, A/B test approaches, and recommend optimizations that improve conversion through the funnel.

Tooling, Reporting & Dashboard Ownership

• Ability to create reporting and run analyses to identify leads blockers 
• Partner with RTech, Central Ops, and Analytics to define requirements for dashboards that give clear visibility into lead volume, quality, conversion, and SLA adherence.

Knowledge Sharing

• Serve as the subject matter expert on leads flows, automation and tooling. 
• Document and socialize best practices and learnings from MM programs, and help “lift and shift” successful motions across regions and segments where appropriate.

Qualifications

Experience:

• 5+ years of experience in revenue operations, sales operations, marketing operations, program management, or similar roles, ideally within B2B or ads businesses.
• Demonstrated experience owning or operating lead funnel processes (lead routing, scoring, SDR/AE workflows, or marketing automation).

Technical & Data Skills:

• Hands-on experience with Salesforce (SFDC) and at least one of: Gong, marketing automation platforms, or sales engagement tools.
• Strong skills in Excel/Sheets and comfort working with large datasets; experience with SQL.

Operational Excellence:

• Proven track record of designing, documenting, and improving workflows that increase efficiency and reduce operational risk.

Cross-Functional Collaboration:

• Experience working across Sales, Marketing, Ops, and Analytics/Engineering teams, with the ability to translate business needs into technical or process requirements.
• Strong stakeholder management skills; able to balance global consistency with regional nuances.

Problem Solving & Communication:

• Structured, analytical thinker who can quickly get to the root cause of operational issues and propose pragmatic solutions.
• Excellent written and verbal communication, capable of simplifying complex systems for non-technical audiences.

Mindset & Culture Fit:

• Comfortable operating in ambiguous, fast-moving environments and shifting between strategy and execution.
• Service-oriented and collaborative; energized by enabling others to be more productive.
• Growth and experimentation mindset – willing to test, learn, and iterate to find what works best for Reddit’s MM business.

Figma is building a Sales AI Transformation function to embed AI across the sales workflow - reducing manual work, improving decision-making, and simplifying how reps and managers operate day-to-day. 

As the founding Sales AI Engineer, you’ll be a hands-on builder who designs and ships AI-enabled workflows that connect systems like Salesforce, Slack, and our data stack. You’ll move quickly from prototype to production, measure adoption and impact, and create reusable patterns that help the broader GTM organization build and scale what works.

This is a full time role that can be held from one of our US hubs or remotely in the United States. 

What you’ll do at Figma:

• Build and operationalize AI-powered workflows that improve daily execution for sales reps and managers (e.g., account insights, CRM hygiene, coaching workflows, outbound research/personalization)
• Integrate across the GTM stack using APIs, automation platforms, and lightweight internal tools; ensure clean data flow and reliable execution
• Apply LLMs pragmatically: choose the lightest safe solution, constrain outputs, and build quality checks and monitoring so workflows can be trusted in production
• Partner with SalesOps, Enablement, and GTM Systems to align on requirements, rollout, governance, and production deployment
• Create reusable patterns (templates, agents, connectors, documentation) that enable distributed adoption rather than central dependency
• Define success metrics for each workflow, track adoption and business impact, and iterate based on real usage and outcomes

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry.

Rockstar New York is on the lookout for a passionate Full Stack Engineer who considers software development to be a craft and possesses a passion for tackling complex problems. In this role, you will be part of an enabling team, working across product domains within our Online Services Team.  

This is a full-time, in-office position based out of Rockstar’s NYC headquarters in Downtown Manhattan. 

WHAT WE DO

• The Rockstar Games Online Services Team is a passionate development group, focused on growing and maintaining the technology platform that powers Rockstar’s online titles and our ability to deliver world-class player experiences.  
• We create connected experiences that are found across our game franchises.  
• We create online services for our games, including matchmaking, cloud saves, player stats, leaderboards, and more.  
• The Core Tech: Online Tooling team is responsible for the architecture, foundational systems, and developing supported pathways to enable teams to create and maintain tooling to manage our online environment. 

RESPONSIBILITIES

• Develop features and applications utilizing C#, MSSQL, and JavaScript/TypeScript with React. 
• Utilize best practice to ensure full test coverage and contribute to technical documentation. 
• Collaborate with other teams across our global organization to implement solutions that enhance developer experience. 

REQUIREMENTS

• A degree in computer science or 3+ years of equivalent experience in professional web development. 
• 3+ years of experience using React (TypeScript/JavaScript). 
• 3+ years of experience using C#. 
• 2+ years of experience with T-SQL. 
• 2+ years of experience with source control, preferably Perforce. 
• Application of software development best practices.
• Knowledge of Agile software development processes.
• Great communication skills as a core member of an internationally-based team. 

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• Prior experience with Redis, MongoDB and automated testing. 
• Exposure to Elasticsearch is desirable. 
• Passion for web technologies and a desire to remain up to date with the latest technologies. 
• Knowledge and application of web security best practices. 
• Experience or knowledge of authentication and authorization best practices. 
• Experience publishing and maintaining npm and NuGet packages. 
• Knowledge of accessibility best practices. 
• Knowledge of Rockstar’s game titles and passion for playing video games. 

ADDITIONAL INFORMATION

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.                             

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

#LI-ST

Paperless Post is seeking a Software Development Engineer in Test (SDET) to join our team of multidisciplinary engineers, specifically our Editor team which develops our invitation and card creation tool. In this role, you'll develop and maintain automated test frameworks specifically designed to handle complex visual rendering, creative interactions, and non-standard browser behaviors. You'll write automated test scripts that validate both functionality and creative output, collaborate with developers on testability for innovative UI components, and integrate tests into CI/CD pipelines. This role requires a unique blend of software engineering and quality assurance expertise, with a particular focus on testing rich interactive experiences and visual fidelity.

Our stack includes Typescript, React, Next.js and GraphQL on the frontend, with services written mostly in Golang with sprinkles of Ruby running on top of PostgreSQL and MongoDB. We run on AWS with Kubernetes, Helm, and Terraform, and deploy with CircleCI and ArgoCD.

A little bit about us

The Paperless Post Engineering team, a highly collaborative group of developers and technologists, is charged with building and refining a consumer-facing product that millions of people interact with each month. Our individual feature teams each focus on a unique piece of the user experience and are made up of engineers, product managers, quality assurers, and product designers. We prioritize creativity and continuing education, and our ongoing commitment to quality code shows in our pragmatic but brave approach to technology.

What you’ll do here

• Test automation for creative tools: Design, develop, and maintain automated test scripts and frameworks specifically for creative editing interfaces, including canvas-based interactions, drag-and-drop functionality, visual rendering validation, and non-standard browser APIs.
• Visual and interaction testing: Build testing strategies that validate both functional correctness and visual output, including pixel-perfect rendering, responsive design behaviors, and complex user interactions unique to creative tools.
• Software development lifecycle (SDLC) integration: Embed testing into the development process by collaborating with developers on unit tests, integration tests, and code reviews.
• CI/CD integration: Implement and manage automated tests within Continuous Integration and Continuous Deployment pipelines to ensure rapid and reliable delivery cycles.
• Quality assurance: Ensure software meets quality standards by identifying, documenting, and tracking bugs, and performing comprehensive testing across various test types.
• Collaboration: Work closely with development, QA, and product teams to align testing strategies with project goals.
• Analysis and improvement: Analyze test results, provide feedback on quality, and continuously research new test tools and methodologies to improve processes. 

What you bring to the table  

Must haves:

• Bachelor's degree in Computer Science, Engineering, or a related field or equivalent experience
• 6+ years of experience as a SDET, Software Engineer, or similar
• Proficiency in JavaScript/Typescript and modern frontend frameworks (React strongly preferred)
• Experience building automated test frameworks for web applications, particularly for interactive or visual-heavy applications
• Strong understanding of browser APIs, DOM manipulation, and cross-browser compatibility challenges
• Experience with frontend testing frameworks (e.g., Playwright, Cypress, Jest, React Testing Library)
• Experience with CI/CD pipelines and automated build tools
• Experience with source control (Git preferred)
• Strong analytical and problem-solving skills, attention to detail, and excellent communication and collaboration abilities

Nice to haves:

• Experience testing creative tools, design software, or canvas-based applications
• Knowledge of visual regression testing and screenshot comparison tools
• Experience with performance testing for frontend applications (rendering performance, animation smoothness)
• Familiarity with accessibility testing, particularly for complex interactive interfaces
• Experience with browser automation tools and handling non-standard browser behaviors
• Knowledge of graphics programming or HTML Canvas/SVG APIs
• Experience with containerization technology (preferably Docker)
• Experience with mobile web testing and responsive design validation
• Understanding of user experience principles for creative tools
• Experience with monitoring and observability tools for frontend applications

Company-wide, we enjoy an amazing ecosystem of an even gender split and a balance of engineers and designers. Because Paperless Post isn't supported by ad revenue, we can focus our efforts on creating and improving on the ideal version of our platform, product, content, and partnerships for our users. 

We are proud that Paperless Post has helped over 220 million people globally connect in the real world since our inception. Paperless Post exists to help all people celebrate all the moments that matter to them. We believe that having a team reflective of the diverse world around us empowers us to create a product that serves everyone. Women, people of color, trans/genderqueer individuals, individuals with disabilities, and veterans are especially encouraged to apply.

AI Usage Note

At Paperless Post, we value Being Resourceful, Progress Over Perfection, and being a Positive Force. Embracing thoughtful AI use is one way we put those values into practice. In our day-to-day work, we encourage teams to thoughtfully use AI tools like Claude, ChatGPT, and Copilot to move faster and think more creatively.

During interviews, our recruiting team may use AI-powered note-taking tools so we can stay focused on the conversation.

However, our interviews are designed to understand each candidate’s individual skills, problem-solving approach, and reasoning in real time. For that reason, unless explicitly requested and/or approved by the recruiting team, AI tools (including but not limited to generative AI assistants such as ChatGPT, Claude, Copilot, etc.) may not be used during any interview sessions, including but not limited to:

-Recruiting phone interviews

-Technical screens 

-Live coding challenges

-System design interviews

-Take-home assignments

These conversations are intended to assess your independent thinking and technical depth. If we determine that AI tools were used without disclosure or approval during an interview, it may result in disqualification for the role and removal from the interview process.

We are committed to providing reasonable accommodations. This policy does not apply to approved accessibility or disability accommodations. If you require assistive technology or other support, please let the recruiting team know.

The compensation range for this role is $120,000 - $140,000 USD. 

At Paperless Post, compensation is based on a number of factors, including geographic location, job-related skills, years of experience, and internal team banding. All full-time offer packages come with a base salary, equity component, and options for fully paid medical, dental, and vision benefits. The range posted here is based on the NYC market and may vary based on candidate location.

While this position is remote-friendly, we can only employ in the following locations: New York, New Jersey, Connecticut, Pennsylvania, North Carolina, California, Colorado, Ohio, Texas, Florida, Illinois, Washington, Maine.

This role is not open to visa sponsorship or transfer of visa sponsorship including those on H1-B, F-1, OPT, STEM-OPT, or TN visa, nor is it available to work corp-to-corp.

This role requires a hybrid schedule and will be based in our South Charlotte, NC or New York, NY office (Tuesday through Thursday) and optional remote days on Mondays and Fridays each week.

Red Ventures Growth & Transformation builds the technology that powers digital transformation for some of the most recognized financial services brands in the world. Red Ventures has spent 15+ years partnering with industry leaders across telecom, financial services, education, and more. And now we're now rebuilding how we work, ship, and create leverage in the age of AI.

We're hiring a Senior Engineer to help lead that shift. This is a role for someone who can walk into ambiguity, figure out what matters, and build the structure that didn't exist before they got there. You'll have meaningful ownership, real autonomy, and a direct hand in defining what "great" looks like in this new paradigm.

Don't meet every bullet but think you'd be a fit? Apply anyway and tell us why.

What You'll Do

• Lead technical delivery on initiatives that matter, from scoping and architecture through code, quality assurance, launch, monitoring, and post-launch iteration cycles.
• Partner directly with designers, analysts, and client stakeholders to shape what gets built and why.
• Review code, lead design discussions, and raise the engineers around you through the way you work day-to-day.
• Diagnose systemic issues — in the codebase, in tooling, in process — and own the work that fixes them.
• Develop and spread AI-native engineering practices on your team: agents, custom tooling, codebase automation, and the workflows that make them stick.
• Track outcomes against quantitative and qualitative KPIs, and use what you learn to make the team better.

What We're Looking For

• 5+ years building production software, with broad exposure across front-end and back-end. We care less about your specific stack than the breadth of systems you've seen and the patterns you've learned to recognize.
• A track record of stepping into messy situations and leaving structure behind you.
• Demonstrable AI fluency. The ideal candidate would have experience working on a team whose throughput looks different today because of how they've adopted AI. 
• Strong opinions on ownership, accountability, and what high performance actually looks like in an engineering team — and the experience to back them up.
• Comfortable taking a clear position and defending it, even when it cuts against the room.
• Excellent collaboration with designers, analysts, and business stakeholders. You can translate fluently in both directions.

Even Better

• You've mentored or led engineers.
• Experience with Adobe Experience Manager, Salesforce Marketing Cloud, or similar enterprise marketing technologies.

Compensation: 

This range reflects total cash compensation, which may include base salary only or base salary plus target bonus, depending on the role. Where eligible, equity may also be offered separately and not included below. Actual compensation varies based on location, experience, and qualifications.

• Total Cash Compensation Range: $100,000 – $180,000 per year

*New York City Total Cash Compensation Range: $125,000 – $200,000 per year 

Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements.

• Health Insurance Coverage (medical, dental, and vision)
• Life Insurance
• Short and Long-Term Disability Insurance
• Flexible Spending Accounts
• Holiday Pay
• 401(k) with match
• Employee Assistance Program
• Paid Parental Bonding Benefit Program
• Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential.  That’s why we offer a generous and flexible PTO policy.  Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service.

Who We Are:

Red Ventures is a global portfolio of high-growth companies — spanning several U.S. businesses, a joint venture in the health services industry, and strategic investments in Europe. Their businesses include The Points Guy, Lonely Planet, Bankrate, the Allconnect Platform, RV Home Client Growth, RV Growth & Transformation, Sage Home Loans Corporation, and more. Across the portfolio, Red Ventures businesses deliver seamless digital experiences for consumers, help Fortune 100 clients solve large-scale digital growth challenges, and create world-class experiences and opportunities for employees. Learn more at redventures.com and follow @RedVentures on LinkedIn and Instagram.

At Red Ventures, we believe diverse, inclusive teams are better. To help you better understand our core values and beliefs, we encourage you to watch this brief YouTube video: Our Belief Statements. This will give you insight into the principles that guide our work and our commitment to fostering an inclusive environment.

 We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.

Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. 

We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com. 

If you are based in California, we encourage you to read this important information for California residents linked here.

#LI-HYBRID

At Red Ventures, we believe in real human connection. That’s why we do not hire someone through text, social media, or email only. As part of the hiring process, you should expect live conversations with RV teammates before any offer is made. Also, keep an eye on the sender: we only use official @redventures.com email addresses at the portfolio level or business specific email addresses (e.g., @thepointsguy.com), not ones like “redventurescareer.com.” We will never ask candidates to send money, buy equipment, or share financial account info during your journey with us. You can always find our open roles on redventures.com— if you receive a message that seems suspicious, please use redventures.com to verify the opportunity.

For more, the U.S. Federal Trade Commission has published helpful articles to help individuals learn more about protecting themselves from recruiter scams. If you think you’ve been targeted, feel free to report it to your local authorities. Stay safe out there!

SUMMARY: 

The Senior Technical Designer is responsible for building and maintaining the specs and fit of the garment from initial design concept through to final fit approval for the women's categories. This role is responsible to ensure fit consistency and Brand standards for construction throughout the given category are maintained. This position requires a higher  level of technical, process management and problem solving skills. 

RESPONSIBILITIES:

• Collaborate with business partners to obtain clear direction and consensus on design aesthetic, fit intent and construction.
• Build excellent working relationships with cross functional partners in Design, Merchandising, Sourcing and Product Development as well as overseas offices and Direct vendors. 
• Develop specifications and garment construction methods for assigned product categories from initial style development and cost engineer for bulk production. 
• Attend fit sessions with Team, to develop Brand aesthetic, silhouette and proportion within the price point for assigned categories.
• Problem solves all technical issues related to fit and execution including fabric application, construction, grading and cost engineering.
• Effectively communicate fit intent, balance and construction revisions to OVS partners and Direct Vendors via fit notes, diagrams, ¼ scale pattern corrections, digital photos. 
• Evaluate prototype samples and fit samples for measurement, fit and construction accuracy and quality according to Brand standards. 
• Participate in maintaining consistency of technical design and product creation processes. 
• Partner with OVS offices and Direct Vendor Technical teams to ensure execution of fit, construction and finishing 
• Ensure Brand consistency in aesthetic, fit and construction from vendor to vendor across all styles within a category
• Effectively communicate with cross functional teams to ensure calendar milestone deliverables are met
• Proactively identify and solve potential production, quality and costing issues and make appropriate recommendations for resolutions.
• Escalate issues when necessary and provide root cause analysis, fact finding and possible solutions. 
• Track workload deliverables to ensure individual deadlines are met and work with production partners to avoid garment delivery slides.
• Attend key Milestone meetings to provide technical support with regards to fit and construction
• Fosters open communication and team environment with all business partners and receives constructive feedback professionally.
• Supervise direct reports as needed.

SKILLS:

• Experience in fitting garments for assigned product categories
• Ability to analyze fit issues and propose valid & actionable solutions
• Experience in creating accurate technical spec packages 
• Proficient in pattern making, grading, construction methods and garment engineering for assigned categories
• Understanding of end to end product development and apparel production process from concept to delivery
• Knowledge of fabric and inner components
• Strong written and verbal communication skills
• Strong sense of urgency, attention to detail and resourcefulness
• Adept at time management with the ability to set priorities, plan and meet overlapping deadlines
• Proven organizational skills and ability to manage deadlines and changing priorities
• Competent analytical skills and ability to problem solve
• Dedicated team player
• Expert interpersonal skills and ability to interact with all personality types and cultures
• Ability to openly embrace changes dictated by market conditions
• Advanced computer skills:  Google Apps, Microsoft Office Suite (or alternate software), Adobe Illustrator, PLM, 
• Knowledge of Gerber AccuMark, Lectra, Optitex, Browzwear, Clo (or alternate computer pattern making or 3D software).
• Ability to supervise and train direct reports.

REQUIREMENTS: 

• B.A. Apparel Design, Technical Design, or job related equivalent
• 5+ years of experience in Technical Design, and at least two other proficiencies: patternmaking, product engineering, garment construction or pattern grading

Salary offered will be at the discretion of the Company and based on a candidate’s qualifications.  For this position, the base salary will be between $105,000 - $130,000 annually.  Other benefits associated with the position for eligible associates are listed below. 

At Anthropic, we believe new AI capabilities are best achieved through secure foundations, not in spite of them. As capabilities grow more advanced, it is critical that progress moves forward safely and for the benefit of all society. It is the reason why security sits at the center of our work, and not as an afterthought.

We're looking for a systems-oriented Software Engineer to push the performance and reliability of Claude Code and the JavaScript runtime that powers it. Claude Code is our terminal-first, agentic coding tool, and a huge part of what makes it fast—and what lets us ship quickly—is Bun. This role sits at that intersection: you'll work deep in the runtime, the kernel interfaces it sits on top of, and the agent loop on top of it, making everything faster, leaner, and more reliable. Your work will also flow through to the Claude Code Agent SDK, Cowork, and other Labs projects that build on the same foundations.

This is low-level work. We're looking for someone who has spent years writing production C, C++ and Rust, who thinks in syscalls and allocators, and who gets excited about shaving microseconds and megabytes off hot paths.

Responsibilities

• Design, build, and optimize core systems inside Bun and Claude Code—runtime internals, I/O paths, memory management, and the agent execution loop

• Drive down memory usage, latency, and startup time across Claude Code and the Bun runtime

• Dig into performance problems across the stack: profiling, tracing, and fixing issues anywhere from the kernel interface up through the JS engine to the agent layer

• Collaborate with researchers and product engineers to make sure model capabilities translate into a fast, reliable developer experience

• Contribute to the Bun runtime and toolkit, which underpins Claude Code, the Agent SDK, Cowork, and other internal Labs products

• Stay ahead of advancements in runtimes, compilers, and AI-assisted tooling—experimenting, measuring, and bringing the best ideas into our stack

You may be a good fit if you

• Have a strong background in C and/or C++ and Rust (Zig also welcome)

• Have deep systems programming experience: syscalls, Linux internals, I/O (kqueue, epoll, io_uring), manual memory management, and performance engineering

• Have worked on language runtimes, virtual machines, compilers, or JS engines like JavaScriptCore or SpiderMonkey

• Have 5+ years of work experience

About the Opportunity

Candidates must be located in the eastern time zone

Contentful strives to build a secure and safe service and commits considerable effort and resources to security. Our Security team supports corporate-wide information security management programs and collaborates closely with internal teams. We believe that Security must be anchored by DevOps principles with strong repeatable processes.

We are looking for a committed and driven Security Engineer with experience working in cloud-native product infrastructure and corporate environments. In this role, you will manage daily alerts and operations while leading broader collaborative initiatives, such as architecture design, threat modeling, and vulnerability identification, to drive meaningful security improvements. Candidates should be skilled in cloud-native technologies, with demonstrable proficiency in infrastructure-as-code and application development.

This hands-on role offers an opportunity to grow your expertise in cloud technologies and security tooling while making a meaningful impact by embedding security practices and supporting secure third-party integrations in a fast-paced software-as-a-service environment.

What to Expect

• Lead initiatives and partner with teams to embed practical security safeguards and champion a security-first mindset across the business.
• Lead security assessments and remediation for cloud-native applications, infrastructure, and vendor integrations to proactively identify and address risk.
• Support vulnerability management by identifying, tracking, and partnering with teams to drive remediation of security issues across product and corporate environments.
• Develop and maintain security solutions through custom development and effective tool management to enhance efficiency and operational effectiveness.
• Leverage industry standards to develop hardening requirements and monitoring mechanisms that enforce and strengthen the security of systems and environments.
• Advance the development, customization, and maintenance of hardening standards and monitoring mechanisms for systems and environments.
• Drive security and monitoring enhancements to containerized workloads and orchestration platforms.
• Participate actively in incident investigations through independent analysis, contributing to findings, root cause analysis, and remediation efforts.
• Collaborate in defining and monitoring evolving security compliance and regulatory requirements.
• Research and evaluate emerging threats, vulnerabilities, and security technologies to keep defenses up to date.

What You Need to Be Successful

• 4+ years of security engineering, DevSecOps, or equivalent experience.
• Hands-on expertise with AWS architecture, services, and security features.
• Proficiency in Python to build and maintain security tools.
• Familiarity with Kubernetes and container security, including configuration and runtime protection.
• Exposure to JavaScript and Go with the ability to perform security code reviews.
• Experience using Terraform to build, deploy, and maintain infrastructure as code.
• Strong foundational networking knowledge covering cloud networking concepts, the OSI model, TCP/IP, and routing fundamentals.
• Demonstrable ability to embed security considerations throughout the software development lifecycle.
• Hands-on involvement supporting vulnerability management and incident response functions.
• Familiarity with authentication and authorization protocols and mechanisms (OAuth, SAML, JWT, IAM)
• Experience identifying and mitigating OWASP Top 10 vulnerabilities in web applications and APIs.
• Clear and effective communication skills.
• Ability to articulate security risks and tradeoffs to both technical and semi-technical audiences.
• A proactive, growth-oriented mindset focused on continuous learning, innovation, and raising security standards.
• Passionate about designing and performing hands-on implementation work.
• Ability to work in a fast-paced environment, often juggling multiple projects.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

About the Opportunity

Candidates must be located in the eastern time zone

Contentful strives to build a secure and safe service and commits considerable effort and resources to security. Our Security team supports corporate-wide information security management programs and collaborates closely with internal teams. We believe that Security must be anchored by DevOps principles with strong repeatable processes.

We are looking for a committed and driven Security Engineer with experience working in cloud-native product infrastructure and corporate environments. In this role, you will manage daily alerts and operations while leading broader collaborative initiatives, such as architecture design, threat modeling, and vulnerability identification, to drive meaningful security improvements. Candidates should be skilled in cloud-native technologies, with demonstrable proficiency in infrastructure-as-code and application development.

This hands-on role offers an opportunity to grow your expertise in cloud technologies and security tooling while making a meaningful impact by embedding security practices and supporting secure third-party integrations in a fast-paced software-as-a-service environment.

What to Expect

• Lead initiatives and partner with teams to embed practical security safeguards and champion a security-first mindset across the business.
• Lead security assessments and remediation for cloud-native applications, infrastructure, and vendor integrations to proactively identify and address risk.
• Support vulnerability management by identifying, tracking, and partnering with teams to drive remediation of security issues across product and corporate environments.
• Develop and maintain security solutions through custom development and effective tool management to enhance efficiency and operational effectiveness.
• Leverage industry standards to develop hardening requirements and monitoring mechanisms that enforce and strengthen the security of systems and environments.
• Advance the development, customization, and maintenance of hardening standards and monitoring mechanisms for systems and environments.
• Drive security and monitoring enhancements to containerized workloads and orchestration platforms.
• Participate actively in incident investigations through independent analysis, contributing to findings, root cause analysis, and remediation efforts.
• Collaborate in defining and monitoring evolving security compliance and regulatory requirements.
• Research and evaluate emerging threats, vulnerabilities, and security technologies to keep defenses up to date.

What You Need to Be Successful

• 4+ years of security engineering, DevSecOps, or equivalent experience.
• Hands-on expertise with AWS architecture, services, and security features.
• Proficiency in Python to build and maintain security tools.
• Familiarity with Kubernetes and container security, including configuration and runtime protection.
• Exposure to JavaScript and Go with the ability to perform security code reviews.
• Experience using Terraform to build, deploy, and maintain infrastructure as code.
• Strong foundational networking knowledge covering cloud networking concepts, the OSI model, TCP/IP, and routing fundamentals.
• Demonstrable ability to embed security considerations throughout the software development lifecycle.
• Hands-on involvement supporting vulnerability management and incident response functions.
• Familiarity with authentication and authorization protocols and mechanisms (OAuth, SAML, JWT, IAM)
• Experience identifying and mitigating OWASP Top 10 vulnerabilities in web applications and APIs.
• Clear and effective communication skills.
• Ability to articulate security risks and tradeoffs to both technical and semi-technical audiences.
• A proactive, growth-oriented mindset focused on continuous learning, innovation, and raising security standards.
• Passionate about designing and performing hands-on implementation work.
• Ability to work in a fast-paced environment, often juggling multiple projects.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

About the Opportunity

Candidates must be located in the eastern time zone

Contentful strives to build a secure and safe service and commits considerable effort and resources to security. Our Security team supports corporate-wide information security management programs and collaborates closely with internal teams. We believe that Security must be anchored by DevOps principles with strong repeatable processes.

We are looking for a committed and driven Security Engineer with experience working in cloud-native product infrastructure and corporate environments. In this role, you will manage daily alerts and operations while leading broader collaborative initiatives, such as architecture design, threat modeling, and vulnerability identification, to drive meaningful security improvements. Candidates should be skilled in cloud-native technologies, with demonstrable proficiency in infrastructure-as-code and application development.

This hands-on role offers an opportunity to grow your expertise in cloud technologies and security tooling while making a meaningful impact by embedding security practices and supporting secure third-party integrations in a fast-paced software-as-a-service environment.

What to Expect

• Lead initiatives and partner with teams to embed practical security safeguards and champion a security-first mindset across the business.
• Lead security assessments and remediation for cloud-native applications, infrastructure, and vendor integrations to proactively identify and address risk.
• Support vulnerability management by identifying, tracking, and partnering with teams to drive remediation of security issues across product and corporate environments.
• Develop and maintain security solutions through custom development and effective tool management to enhance efficiency and operational effectiveness.
• Leverage industry standards to develop hardening requirements and monitoring mechanisms that enforce and strengthen the security of systems and environments.
• Advance the development, customization, and maintenance of hardening standards and monitoring mechanisms for systems and environments.
• Drive security and monitoring enhancements to containerized workloads and orchestration platforms.
• Participate actively in incident investigations through independent analysis, contributing to findings, root cause analysis, and remediation efforts.
• Collaborate in defining and monitoring evolving security compliance and regulatory requirements.
• Research and evaluate emerging threats, vulnerabilities, and security technologies to keep defenses up to date.

What You Need to Be Successful

• 4+ years of security engineering, DevSecOps, or equivalent experience.
• Hands-on expertise with AWS architecture, services, and security features.
• Proficiency in Python to build and maintain security tools.
• Familiarity with Kubernetes and container security, including configuration and runtime protection.
• Exposure to JavaScript and Go with the ability to perform security code reviews.
• Experience using Terraform to build, deploy, and maintain infrastructure as code.
• Strong foundational networking knowledge covering cloud networking concepts, the OSI model, TCP/IP, and routing fundamentals.
• Demonstrable ability to embed security considerations throughout the software development lifecycle.
• Hands-on involvement supporting vulnerability management and incident response functions.
• Familiarity with authentication and authorization protocols and mechanisms (OAuth, SAML, JWT, IAM)
• Experience identifying and mitigating OWASP Top 10 vulnerabilities in web applications and APIs.
• Clear and effective communication skills.
• Ability to articulate security risks and tradeoffs to both technical and semi-technical audiences.
• A proactive, growth-oriented mindset focused on continuous learning, innovation, and raising security standards.
• Passionate about designing and performing hands-on implementation work.
• Ability to work in a fast-paced environment, often juggling multiple projects.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

About the Opportunity

Candidates must be located in the eastern time zone

Contentful strives to build a secure and safe service and commits considerable effort and resources to security. Our Security team supports corporate-wide information security management programs and collaborates closely with internal teams. We believe that Security must be anchored by DevOps principles with strong repeatable processes.

We are looking for a committed and driven Security Engineer with experience working in cloud-native product infrastructure and corporate environments. In this role, you will manage daily alerts and operations while leading broader collaborative initiatives, such as architecture design, threat modeling, and vulnerability identification, to drive meaningful security improvements. Candidates should be skilled in cloud-native technologies, with demonstrable proficiency in infrastructure-as-code and application development.

This hands-on role offers an opportunity to grow your expertise in cloud technologies and security tooling while making a meaningful impact by embedding security practices and supporting secure third-party integrations in a fast-paced software-as-a-service environment.

What to Expect

• Lead initiatives and partner with teams to embed practical security safeguards and champion a security-first mindset across the business.
• Lead security assessments and remediation for cloud-native applications, infrastructure, and vendor integrations to proactively identify and address risk.
• Support vulnerability management by identifying, tracking, and partnering with teams to drive remediation of security issues across product and corporate environments.
• Develop and maintain security solutions through custom development and effective tool management to enhance efficiency and operational effectiveness.
• Leverage industry standards to develop hardening requirements and monitoring mechanisms that enforce and strengthen the security of systems and environments.
• Advance the development, customization, and maintenance of hardening standards and monitoring mechanisms for systems and environments.
• Drive security and monitoring enhancements to containerized workloads and orchestration platforms.
• Participate actively in incident investigations through independent analysis, contributing to findings, root cause analysis, and remediation efforts.
• Collaborate in defining and monitoring evolving security compliance and regulatory requirements.
• Research and evaluate emerging threats, vulnerabilities, and security technologies to keep defenses up to date.

What You Need to Be Successful

• 4+ years of security engineering, DevSecOps, or equivalent experience.
• Hands-on expertise with AWS architecture, services, and security features.
• Proficiency in Python to build and maintain security tools.
• Familiarity with Kubernetes and container security, including configuration and runtime protection.
• Exposure to JavaScript and Go with the ability to perform security code reviews.
• Experience using Terraform to build, deploy, and maintain infrastructure as code.
• Strong foundational networking knowledge covering cloud networking concepts, the OSI model, TCP/IP, and routing fundamentals.
• Demonstrable ability to embed security considerations throughout the software development lifecycle.
• Hands-on involvement supporting vulnerability management and incident response functions.
• Familiarity with authentication and authorization protocols and mechanisms (OAuth, SAML, JWT, IAM)
• Experience identifying and mitigating OWASP Top 10 vulnerabilities in web applications and APIs.
• Clear and effective communication skills.
• Ability to articulate security risks and tradeoffs to both technical and semi-technical audiences.
• A proactive, growth-oriented mindset focused on continuous learning, innovation, and raising security standards.
• Passionate about designing and performing hands-on implementation work.
• Ability to work in a fast-paced environment, often juggling multiple projects.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

About the Opportunity

Candidates must be located in the eastern time zone.

Contentful strives to build a secure and safe service and commits considerable effort and resources to security. Our Security team supports corporate-wide information security management programs and collaborates closely with internal teams. We believe that Security must be anchored by DevOps principles with strong repeatable processes.

We are looking for a committed and driven Security Engineer with experience working in cloud-native product infrastructure and corporate environments. In this role, you will manage daily alerts and operations while leading broader collaborative initiatives, such as architecture design, threat modeling, and vulnerability identification, to drive meaningful security improvements. Candidates should be skilled in cloud-native technologies, with demonstrable proficiency in infrastructure-as-code and application development.

This hands-on role offers an opportunity to grow your expertise in cloud technologies and security tooling while making a meaningful impact by embedding security practices and supporting secure third-party integrations in a fast-paced software-as-a-service environment.

What to Expect

• Lead initiatives and partner with teams to embed practical security safeguards and champion a security-first mindset across the business.
• Lead security assessments and remediation for cloud-native applications, infrastructure, and vendor integrations to proactively identify and address risk.
• Support vulnerability management by identifying, tracking, and partnering with teams to drive remediation of security issues across product and corporate environments.
• Develop and maintain security solutions through custom development and effective tool management to enhance efficiency and operational effectiveness.
• Leverage industry standards to develop hardening requirements and monitoring mechanisms that enforce and strengthen the security of systems and environments.
• Advance the development, customization, and maintenance of hardening standards and monitoring mechanisms for systems and environments.
• Drive security and monitoring enhancements to containerized workloads and orchestration platforms.
• Participate actively in incident investigations through independent analysis, contributing to findings, root cause analysis, and remediation efforts.
• Collaborate in defining and monitoring evolving security compliance and regulatory requirements.
• Research and evaluate emerging threats, vulnerabilities, and security technologies to keep defenses up to date.

What You Need to Be Successful

• 4+ years of security engineering, DevSecOps, or equivalent experience.
• Hands-on expertise with AWS architecture, services, and security features.
• Proficiency in Python to build and maintain security tools.
• Familiarity with Kubernetes and container security, including configuration and runtime protection.
• Exposure to JavaScript and Go with the ability to perform security code reviews.
• Experience using Terraform to build, deploy, and maintain infrastructure as code.
• Strong foundational networking knowledge covering cloud networking concepts, the OSI model, TCP/IP, and routing fundamentals.
• Demonstrable ability to embed security considerations throughout the software development lifecycle.
• Hands-on involvement supporting vulnerability management and incident response functions.
• Familiarity with authentication and authorization protocols and mechanisms (OAuth, SAML, JWT, IAM)
• Experience identifying and mitigating OWASP Top 10 vulnerabilities in web applications and APIs.
• Clear and effective communication skills.
• Ability to articulate security risks and tradeoffs to both technical and semi-technical audiences.
• A proactive, growth-oriented mindset focused on continuous learning, innovation, and raising security standards.
• Passionate about designing and performing hands-on implementation work.
• Ability to work in a fast-paced environment, often juggling multiple projects.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

New York Salary Statement: The salary range displayed is specifically for potential hires who will work or reside in New York if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, the applicant's skills and prior relevant experience, and certain degrees and certifications (e.g., JD/technology).

New York Salary Range:  $153,000 - $207,000

[This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.]

About the Opportunity

Candidates must be located in the eastern time zone

Contentful strives to build a secure and safe service and commits considerable effort and resources to security. Our Security team supports corporate-wide information security management programs and collaborates closely with internal teams. We believe that Security must be anchored by DevOps principles with strong repeatable processes.

We are looking for a committed and driven Security Engineer with experience working in cloud-native product infrastructure and corporate environments. In this role, you will manage daily alerts and operations while leading broader collaborative initiatives, such as architecture design, threat modeling, and vulnerability identification, to drive meaningful security improvements. Candidates should be skilled in cloud-native technologies, with demonstrable proficiency in infrastructure-as-code and application development.

This hands-on role offers an opportunity to grow your expertise in cloud technologies and security tooling while making a meaningful impact by embedding security practices and supporting secure third-party integrations in a fast-paced software-as-a-service environment.

What to Expect

• Lead initiatives and partner with teams to embed practical security safeguards and champion a security-first mindset across the business.
• Lead security assessments and remediation for cloud-native applications, infrastructure, and vendor integrations to proactively identify and address risk.
• Support vulnerability management by identifying, tracking, and partnering with teams to drive remediation of security issues across product and corporate environments.
• Develop and maintain security solutions through custom development and effective tool management to enhance efficiency and operational effectiveness.
• Leverage industry standards to develop hardening requirements and monitoring mechanisms that enforce and strengthen the security of systems and environments.
• Advance the development, customization, and maintenance of hardening standards and monitoring mechanisms for systems and environments.
• Drive security and monitoring enhancements to containerized workloads and orchestration platforms.
• Participate actively in incident investigations through independent analysis, contributing to findings, root cause analysis, and remediation efforts.
• Collaborate in defining and monitoring evolving security compliance and regulatory requirements.
• Research and evaluate emerging threats, vulnerabilities, and security technologies to keep defenses up to date.

What You Need to Be Successful

• 4+ years of security engineering, DevSecOps, or equivalent experience.
• Hands-on expertise with AWS architecture, services, and security features.
• Proficiency in Python to build and maintain security tools.
• Familiarity with Kubernetes and container security, including configuration and runtime protection.
• Exposure to JavaScript and Go with the ability to perform security code reviews.
• Experience using Terraform to build, deploy, and maintain infrastructure as code.
• Strong foundational networking knowledge covering cloud networking concepts, the OSI model, TCP/IP, and routing fundamentals.
• Demonstrable ability to embed security considerations throughout the software development lifecycle.
• Hands-on involvement supporting vulnerability management and incident response functions.
• Familiarity with authentication and authorization protocols and mechanisms (OAuth, SAML, JWT, IAM)
• Experience identifying and mitigating OWASP Top 10 vulnerabilities in web applications and APIs.
• Clear and effective communication skills.
• Ability to articulate security risks and tradeoffs to both technical and semi-technical audiences.
• A proactive, growth-oriented mindset focused on continuous learning, innovation, and raising security standards.
• Passionate about designing and performing hands-on implementation work.
• Ability to work in a fast-paced environment, often juggling multiple projects.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

About the Role:  

Veeam, following its acquisition of Securiti AI - the leader in AI-powered data security posture management (DSPM) - is seeking experienced Sales Specialists to drive growth in this innovative business. 

In this role, you will focus exclusively on Securiti AI solutions, working closely with Veeam account executives to cross-sell into Veeam’s customer base, win new business, and expand existing Securiti AI accounts. You’ll have a shared territory with multiple AEs, strong earning potential, and support from a dedicated Securiti AI solution engineer for technical engagements. You’ll also benefit from Veeam’s robust go-to-market resources to ensure customer success. 

What You’ll Do: 

• Develop and execute a territory plan to drive repeatable revenue within assigned accounts.
• Collaborate with account executives to identify and maximize cross-sell opportunities for Securiti AI solutions.
• Lead the entire sales process, serving as a trusted advisor, and presenting compelling business cases to customers.
• Manage a pipeline of high-value opportunities, ensuring accurate forecasting and CRM discipline.
• Expand relationships with key channel partners and resellers to accelerate deal flow and market reach. 

What You’ll Bring: 

• Proven success closing complex enterprise software deals, with 10-15+ years in security software sales.
• Extensive experience managing multithreaded sales cycles involving multiple stakeholders.
• Strong existing relationships with C-suite executives and channel partners in large enterprises.
• Deep understanding of enterprise software sales, particularly in data security, management, or cybersecurity.
• Reputation for integrity, honesty, and building long-term customer relationships. 

#LI-DF1 #LI-REMOTE

What is Spade?

Financial institutions process billions of transactions every day across cards, ACH, wires, and third party aggregators. But most of that data is difficult to use. Descriptions are inconsistent, merchant names don’t match, and categories vary by payment type.

Spade is a data and AI platform that turns messy transaction strings into structured, verified records — and gives teams the tools to act on it across authorization, attribution, analytics, and AI initiatives. Spade leads the market in terms of merchant coverage, matching accuracy, geolocation data, and speed of transaction enrichment. Customers such as FIS, Bilt, Mercury, Stripe, alongside many other leaders in fintech and financial services, trust Spade's data to enable personalized rewards programs, accurate applied spending rules, precise analytics requests, and innovative AI-powered features.

Spade is a fast growing, Series B company backed by industry experts and top tier investors (including Oak HC/FT, a16z, Flourish Ventures, Y-Combinator, and Gradient Ventures). We’re a lean and execution-oriented hybrid team, passionate about building exceptional products for our growing customer base. We care deeply about diversity of background, experience, and opinion. We value empathy, curiosity, and passion, and strive to create an environment where individuals have autonomy and the ability to take ownership over their work.

What will you be doing?

As a Senior Platform Infrastructure Engineer, you'll own the systems that keep Spade's core platform fast, reliable, and scalable. You'll work across the full infrastructure stack — from the cloud services and data pipelines that power our enrichment APIs, to the developer tooling and observability systems that keep our engineering team moving quickly. This is a high-ownership role on a small team, where your decisions directly shape the reliability of products processing hundreds of millions of transactions.

• Collaborate on our technical vision to build and scale internal infrastructure that engineers and customers love
• Develop and maintain low-latency, massively-scalable infrastructure for data ingestion, reporting, and developer-facing APIs.
• Continuously improve our engineering best practices by designing and implementing systems that allow us to expand our platform while maintaining high quality and solid observability.
• Debug production issues across all levels of the stack
• Bring a strong collaborative approach to deliver value to customers and internal stakeholders at Spade

What experience, skills, and qualifications are necessary? 

Must-have:

• 5+ years of experience building and scaling AWS Cloud Infrastructure (ECS/Fargate, RDS Aurora Serverless, Terraform/CDK etc).
• Experience with highly scalable networked APIs, Postgres, data pipelines, and async processing
• Experience building and scaling with Python and Django
• Experience and opinions with implementing effective observability instrumentation and ensuring alerts are timely and actionable
• Experience building tools and systems that empower internal developers to deliver business value rapidly
• Experience building systems from scratch, making trade-offs, and executing autonomously in early-stage environments
• A product mindset and strong problem solving skills, with the ability to navigate ambiguity and focus on delivering customer value, for internal developers and the customers they build for
• A collaborative mindset, fostering a culture of mentorship, shared success, and continuous improvement
• Based in NYC

 Nice-to-have:

• Experience with building and supporting infrastructure in multiple AWS regions
• Experience with Open Telemetry
• Experience with Pganalyze
• Experience with transaction, merchant, and/or location data
• Experience and/or interest in fintech and/or data products
• Experience with agentic development infrastructure and workflows
• Familiarity with data science and analytics tools such as Pyspark, Databricks and Delta Lake, and Hex

Why join Spade? 

• Be a cultural founder. As an early employee, you’ll play a meaningful role in defining and building our culture. 
• Get in on the ground floor. We’re a small but well-funded team – joining now comes with limited risk and unlimited upside. 
• Build the next generation of financial infrastructure. Our products will power the next wave of innovation in fintech, helping our customers deliver better, more transparent products and services to the consumer.

Benefits include:

• Competitive compensation and equity package
• Full medical, dental, and vision benefits for US-based employees
• Life & short-term disability insurance
• Unlimited PTO
• Early exercise program
• Extended post-termination exercise period
• 401K for retirement planning
• Hybrid team, with pet-friendly headquarters in NYC
• Paid parental leave
• Work from home stipend

Diversity & Inclusion at Spade:

Spade is an equal opportunity employer, committed to building a culture that is diverse, equitable, and inclusive. We believe that having people with different backgrounds, experiences, abilities, and perspectives not only helps us build the best products for our customers, but also helps us be the best version of ourselves.

Salary Range:

• At Spade, we view total compensation as consisting of salary + equity + benefits. We recruit motivated and high performing talent, and work to compensate people in line with the value they bring to our team. 
• We aim to pay fairly and competitively, and consider a number of factors in developing compensation offers. These factors include years and breadth of experience, interview performance, market dynamics, and internal equity. 
• The anticipated base salary range for this role is between $200,000 and $220,000, and an equity grant.

ABOUT THE TEAM

The data team delivers infrastructure and models to deploy valuable data across the business. Working closely with our researchers and traders, we build resilient and easily maintainable data models and pipelines. Additionally, our developers support live trading by maintaining pipeline operations and enhance our data platform by developing new frameworks, libraries, and services, thereby enhancing team efficiency, throughput, and code quality.

RESPONSIBILITIES 

• Gain a comprehensive understanding of investment research teams' data needs and provide the right solution to them
• Develop, test, and optimize Python data applications, frameworks, and services
• Collaborate with technologists and researchers to align data applications and platforms with evolving business needs
• Write and review technical documentation, including requirements for researchers and proposals for platform enhancements, as well as production support guidelines
• Frequently take the lead on production support operations

REQUIREMENTS

• Bachelor’s in a technology related field (e.g. Engineering, Computer Science, etc.)
• Strong skills programming in Python (inc. Numpy & Pandas) as well as significant experience with SQL, as a software developer, quantitative developer or data engineer
• Exposure to Relational database engineering or NoSQL database
• Experience with any of the following systems is a plus: Apache Airflow, Docker, Kubernetes
• Strong design, debugging and problem-solving skills
• Strong analytic and strategic thinking skills
• Strong communication skills

NICE TO HAVE

• Experience at either a hedge fund or for a trading group on the buy-side
• Experience with any of the following systems is a plus: Apache Airflow, Docker, Kubernetes

COMPENSATION

• Competitive compensation commensurate with level of experience.
• Comprehensive benefits package including medical, dental, vision, 401(k), insurance, Summer Fridays, and wellness reimbursement.
• Base Salary: $150,000 - $200,000/ yr plus bonus

About GlossGenius

GlossGenius is the AI-powered system behind the world’s most meaningful appointments, helping 100,000+ service businesses earn more revenue and free up time for the work they love. Our agentic workforce gets more clients in the door, grows profit per appointment, and keeps clients coming back — doing the jobs owners never had time for and couldn’t justify hiring to fill. Businesses on GlossGenius process billions in annual payment volume, and see 65% more revenue using GlossGenius Payments by growing ticket size, rebooking clients at checkout, and saving on processing fees.

About the Role

GlossGenius has grown significantly, supporting tens of thousands of customers and seeing billions of transaction volumes on our platforms. As our customers continue to grow their businesses, we want to enable them to be more successful. For that, we’re building AI features that will transform how our customers operate and grow their businesses.

That’s why we are seeking strong Software Engineers, All levels to join one of our Product or Platform-based teams. Product-focused engineers work at the intersection of business needs and technical solutions, solving key customer problems. Platform-focused engineers build scalable, reliable, and extensible systems that empower product teams to move faster, deliver with quality, and focus on customer value.

You must be commutable to our NYC headquarters. We default to being in-office 3-4 days per week with required attendance on Tuesdays and Thursdays.

What We Work With

We are open to hearing from candidates who know different programming languages and are excited to learn more and grow their skills. Our current stack:

• Kotlin (micronaut, jooq), Ruby (Rails, Sidekiq), gRPC, protobuf
• Typescript / Javascript (React, Redux)
• React Native
• AWS, Kubernetes, Postgres, and Terraform

What You’ll Do

As a Software Engineer at GlossGenius, you'll play a critical role in shaping a platform that powers over 100,000 small businesses and processes more than $3 billion in payments annually. Engineers work on high-impact initiatives that support our rapid growth and evolving scale. Examples of your potential responsibilities include:

• Develop, release, and run large-scale web applications that empower beauty and wellness businesses to operate and grow.
• Build new AI features for our customers.
• Develop and define our microservice-based infrastructure.
• Build tools and solutions that enable internal teams to work faster, more effectively, with more confidence, and improve the value they can provide our users (Business Scalability team).
• Work on core experiences such as making payments friction-free for clients and customers, building tools to help customers earn more per hour, or enabling businesses to effortlessly grow and manage their teams.
• Focus on front-end development, crafting intuitive and engaging user experiences for our web and mobile applications.
• Improve performance, reliability, scalability, and security for our backend systems.

What We’re Looking For

• 2+ years of professional experience in software development.
• A Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• A strong desire to move fast and have a significant impact.
• An entrepreneurial mindset, eager to take ownership and contribute new ideas to solve challenging problems.
• Hands-on experience building with AI/ML APIs or LLMs, you've shipped something real using AI, whether in a production environment or a meaningful side project. You think critically about where AI adds genuine value and how to integrate it responsibly into a product.
• Ability to analyze and improve efficiency, scalability, and stability of various system resources.
• Demonstrates strong collaboration skills and team spirit.

Benefits & Perks 

• Flexible PTO
• Competitive health & dental insurance options, with premiums partially or fully covered by GG
• In-person opportunities that are designed to help team members foster collaboration and build community (ie; working out of a co-working space, team dinners, and other team building activities)
• Fertility and adoption benefits via Carrot
• Generous, fully-paid parental leave policy
• 401k benefit - employees are eligible to contribute starting day 1 of employment
• Professional Development - employees receive a yearly stipend for approved learning and educational-related expenses
• Pre-tax commuter benefits
• Dependent Care FSA
• Home office support

The starting base salary for this role in New York is between $150,000-$230,000+ target equity + benefits. The base salary offered is dependent upon many factors including skills, experience, location, and education. The base pay range is subject to change and may be modified in the future.  Additionally, this role is currently eligible to participate in GlossGenius’s equity plan as well as a range of health & wellbeing, retirement savings, and other benefits within our total rewards offering.

At GlossGenius, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. We believe this benefits not only our employees but our product, customers, and community as well. GlossGenius is proud to be an Equal Opportunity and Affirmative Action Employer.

Associate Director, Data Engineering

Omnicom Health Group is the largest healthcare marketing and communications network in the world—partnering with clients to achieve meaningful change through better, more innovative communications. With more than 5,000 dedicated healthcare communications specialists from every corner of science, medicine, marketing, and communications, we recognize that it takes the best of talent to deliver the best of health.   

When you join Omnicom Health Group, you have access to opportunities across the most networked network.  What does this mean for you?  Your journey may start with one Omnicom Health Group company then pivot to another, followed by a move to another where you take your career in a whole new direction building your skills and experience each step on your journey.  We’re eager for you to carve a path that works for you – and we’ll help you make it happen.  

Job Description

Omnicom Health Market Access (OHMA) is seeking a Data Engineer, Analytics to join the recently formed Digital & Analytics team.  The ideal candidate should have a strong technical background and should thrive in a consultative role.

Responsibilities

• Develop and maintain our existing analytics products
• Analyze a wide range of datasets to inform our clients’ market access strategy and be able to connect the dots between data and business objectives
• Design and build static visualizations as well as interactive dashboards for data analysis

Required Qualifications

• 3+ years of experience writing R or Python code (ability to use both required)
• 3+ years of experience using SQL

• 3+ years of experience building visualizations in a tool like Tableau or Power BI

• Experience building data pipelines on AWS or Azure

• A strong interest to learn the pharmaceutical industry and the market access ecosystem in depth.

Preferred Qualifications

• Experience in pharmaceutical marketing and/or strategy consulting in pharmaceuticals/healthcare or pharmaceutical advertising agency experience

• Process-oriented with great documentation skills

• Strong presentation skills

• Experience with Veeva CLM
• Advanced knowledge of Excel
• Experience working with LLM models or technical understanding of AI products

The range below represents the low and high end of the base salary someone in this role may earn as an employee of an Omnicom Health Group company in the United States.   Salaries will vary based on various factors including but not limited to professional and academic experience, training, associated responsibilities, and other business and organizational needs. The range listed is just one component of our total compensation package for employees. Salary decisions are dependent on the circumstances of each hire. 

• Salary Range - $120,000 - $136,500

Associate Director, Data Engineering

Omnicom Health Group is the largest healthcare marketing and communications network in the world—partnering with clients to achieve meaningful change through better, more innovative communications. With more than 5,000 dedicated healthcare communications specialists from every corner of science, medicine, marketing, and communications, we recognize that it takes the best of talent to deliver the best of health.   

When you join Omnicom Health Group, you have access to opportunities across the most networked network.  What does this mean for you?  Your journey may start with one Omnicom Health Group company then pivot to another, followed by a move to another where you take your career in a whole new direction building your skills and experience each step on your journey.  We’re eager for you to carve a path that works for you – and we’ll help you make it happen.  

Job Description

Omnicom Health Market Access (OHMA) is seeking a Data Engineer, Analytics to join the recently formed Digital & Analytics team.  The ideal candidate should have a strong technical background and should thrive in a consultative role.

Responsibilities

• Develop and maintain our existing analytics products
• Analyze a wide range of datasets to inform our clients’ market access strategy and be able to connect the dots between data and business objectives
• Design and build static visualizations as well as interactive dashboards for data analysis

Required Qualifications

• 3+ years of experience writing R or Python code (ability to use both required)
• 3+ years of experience using SQL

• 3+ years of experience building visualizations in a tool like Tableau or Power BI

• Experience building data pipelines on AWS or Azure

• A strong interest to learn the pharmaceutical industry and the market access ecosystem in depth.

Preferred Qualifications

• Experience in pharmaceutical marketing and/or strategy consulting in pharmaceuticals/healthcare or pharmaceutical advertising agency experience

• Process-oriented with great documentation skills

• Strong presentation skills

• Experience with Veeva CLM
• Advanced knowledge of Excel
• Experience working with LLM models or technical understanding of AI products

The range below represents the low and high end of the base salary someone in this role may earn as an employee of an Omnicom Health Group company in the United States.   Salaries will vary based on various factors including but not limited to professional and academic experience, training, associated responsibilities, and other business and organizational needs. The range listed is just one component of our total compensation package for employees. Salary decisions are dependent on the circumstances of each hire. 

• Salary Range - $120,000 - $136,500

About the Role, Mission or Department Overview

The New York Times is looking for a Senior QA Engineer to join our Games team. You will be at the heart of our mission to deliver immersive, world-class gaming experiences. You will lead our offshore QA partners, refine manual testing processes, and architect automation frameworks that ensure the quality of our diverse games suite.

As a Senior member of the team, you will advocate for a "shift-left" testing philosophy - collaborating with Product, Design, and Engineering from the initial creative phase through the entire development lifecycle. You'll join a culture that values transparency, diversity, and learning.

You will report to the Senior QA Manager.

Responsibilities:

• Architect and build a comprehensive testing strategy that balances manual oversight of offshore teams with the development of scalable automation.
• Develop automated test suites using Playwright for web and XCUITest/Espresso for mobile apps.
• Partner early with Product, Design, and Engineering to identify potential issues during the requirements and design phases, ensuring you bake quality in from the start.
• Be a primary contact for our offshore QA crew, providing technical guidance, reviewing test plans, and ensuring high-quality execution.
• Identify bottlenecks in the development lifecycle and implement process improvements to increase release velocity without sacrificing quality.
• Work within an Agile environment to provide clear, relevant feedback and bug reports, participating in code reviews and sprint planning.
• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications:

• 5+ years of experience in software quality engineering, with at least 2 years in a Senior or Lead capacity.
• Experience building and scaling test frameworks using Playwright (or equivalent experience with Cypress or Selenium).
• Hands-on experience with native mobile automation tools, specifically XCUITest (iOS) and Espresso (Android).
• Command of at least one modern programming language (e.g., JavaScript/TypeScript, Swift or Kotlin).
• Experience with exploratory testing, regression testing, and test case management.
• Experience collaborating and communicating with cross-functional teams.

Preferred Qualifications:

• Previous experience testing mobile or web-based games, including familiarity with multi-player games and UI/UX consistency.
• Experience integrating automated tests into deployment pipelines (e.g., GitHub Actions, Drone, or Terraform).
• Familiarity with tools like k6, JMeter, or Postman to test backend reliability and load capacity.
• Experience with cloud-based testing platforms like BrowserStack or Sauce Labs.
• Interest in the evolving AI landscape, with a willingness to explore, pilot, and implement AI-assisted tools that enhance our development and testing processes.
• A growth-oriented mindset: You embrace technical challenges, learn from mistakes, and are eager to share your findings to help the whole team level up.

This is a hybrid remote/in-office role based in our New York headquarters.

#LI-Hybrid

REQ-019767

Who You Are:

The Compliance Associate/VP will be responsible for day-to-day compliance functions relating to our investment advisory business. The individual must have knowledge of the Investment Advisers Acts and experience with compliance responsibilities of SEC-registered investment advisers (“RIAs) in the retail and institutional space. General Responsibilities will include regulatory oversight, investment guideline and risk management, policy implementation of all investment advisory relationships and review and approval of marketing materials relating to Galaxy Digital.

What You’ll Do:

• Ongoing review, drafting and implementing of the Firm’s policies and procedures;
• Executing compliance program testing of policies procedures;
• Assisting with third party vendor and client due diligence process and procedures;
• Preparing and assisting with the required regulatory filings as needed;
• Assist with management of independent RIA and broker-deal activity, compliance, and recordkeeping;
• Assist with administration of Code of Conduct, including logging and management of information barriers and conflicts of interest;
• Review advertising materials, including websites to ensure compliance with various regulations;
• Assist with identifying, compiling and categorizing assets for internal and regulatory reporting and SEC filings, including custody, Forms ADV and Form PF;
• Support internal/external business associates on investment advisory and broker-deal compliance issues;
• Build, update and educate employees on rules and regulations via various trainings;
• Help to identify, prioritize, and elevate risks related to, third party relationships, or general conflicts of interest;
• Partnering with Operations, Client Services, the Investment Teams and other constituents to ensure continual improvement of compliance monitoring systems, processes and oversight
• Other general compliance roles and responsibilities as may be assigned from time to time
• Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.
• Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work.

What We’re Looking For: 

• At least 3 years’ experience in financial services compliance, particularly the review of marketing materials and/or investment guideline monitoring
• Ability to apply SEC, FINRA and CFTC regulation to Digital Assets
• Ability to work effectively in a fast-paced team environment
• Ability to provide accurate, direct and practical advice in a timely fashion
• Ability to manage the flow of sensitive information
• Must be comfortable interacting with different levels of business lines and senior management, and conducting presentations and training sessions
• Experience with implementing AI into compliance programs and across work flows
• Strong analytical and problem-solving skills along with the ability to exercise sound and balanced judgment
• Professional and detail-oriented demeanor
• Taking initiative in accomplishing tasks/reviews
• Detail oriented with the ability to assess and prioritize projects

Bonus Points:

• Juris Doctor degree a plus
• Series 24, 63, 65, 7 would also be a plus

What We Offer:

• Competitive base salary, bonus, and equity compensation
• Flexible Time Off (i.e. unlimited paid vacation days)
• Company paid Holidays (11)
• Company paid sick leave
• Company-paid health and protective benefits for employees, partners, and other dependents
• 3% 401(k) company contribution
• Generous paid Parental Leave
• Competitive family planning benefits for US employees
• Free virtual coaching and counseling sessions through Headspace
• Opportunities to learn about the Crypto industry
• Free daily snacks in-office
• Smart, entrepreneurial, and fun colleagues
• Employee Resource Groups

Apply now and join us on our mission to engineer a new economic paradigm.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. 

We are looking for product managers who bring exceptional creative, strategic, and analytical skills to drive forward a best-in-class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company's vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast-paced company and industry.

The Lyft Business team is one of Lyft's fastest-growing and most profitable units, providing transportation solutions for organizations, including business travel, employee commutes, courtesy rides, and non-emergency medical trips. The scope of Lyft Business is expansive, spanning B2B capabilities (self-serve tools, APIs, billing and reporting) as well as the B2B2C rider experience of Business Profiles, Lyft Pass, and Rewards.

We're seeking a Staff Product Manager to build Lyft Business Growth: own the marketing and lifecycle stack, the acquisition and activation strategy, and the journey that lands customers in our core experiences. You will define growth loops across the portfolio, build shared infrastructure for lifecycle, attribution, and experimentation, and partner with vertical PMs, marketing, and engineering to convert demand into durable engagement and revenue.

Responsibilities:

• Define the growth strategy across the Lyft Business funnel: acquisition, activation, conversion, retention, and expansion. Set the north-star metrics and segment-level targets that anchor portfolio prioritization.
• Build the growth stack: lifecycle and CRM messaging, in-app activation primitives, attribution, and product analytics. Define what is shared infrastructure vs. vertical-specific and lead the engagement model with vertical PMs.
• Own the path into our experiences. Architect the journey from awareness through landing in the admin portal, rider app, and partner surfaces. Identify and close drop-off across registration, onboarding, and first value.
• Design and operate growth loops that convert acquired customers into channels for new acquisition (referrals, sponsored programs, organic and paid feedback loops). Productize the loops so each iteration compounds.
• Part of a core team of Engineers, Designers, Data Scientists, Lifecycle Marketers, and Product Marketers. Set the experimentation cadence, the bar for shipping, and the standard for readouts. Hold the portfolio accountable to a defensible run rate of validated tests.
• Be the authority on growth performance. Translate funnel data, cohort behavior, and experiment results into the next quarter's prioritization. Represent Lyft Business Growth in exec reviews and cross-org forums.

Experience:

• 8+ years of product management experience, with a meaningful portion owning growth, lifecycle, or funnel work at scale. Track record of measurable, durable impact on acquisition, activation, or retention metrics that you can defend.
• Demonstrated ownership of broad, ambiguous problem areas that span teams. You have set a multi-year growth strategy and built shared infrastructure that compounded across products.
• Quantitative rigor and experimentation discipline. You think in funnels, cohorts, and growth loops. You size opportunities, design clean A/B tests, and read results without overclaiming.
• Fluency with the modern growth stack: lifecycle and CRM platforms, attribution, product analytics (Amplitude, Mixpanel, or similar), and experimentation tooling.
• Comfortable in B2B, B2B2C, or marketplace contexts with multiple customer types whose interests do not always align.
• Exceptional communication and influence at every altitude, from a growth engineer debating instrumentation to a VP sponsoring the revenue target. You move organizations to act.

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan with company match to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the New York City area is $176,000 - $220,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. 

We are looking for product managers who bring exceptional creative, strategic, and analytical skills to drive forward a best-in-class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company's vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast-paced company and industry.

The Lyft Business team is one of Lyft's fastest-growing and most profitable units, providing transportation solutions for organizations, including business travel, employee commutes, courtesy rides, and non-emergency medical trips. The scope of Lyft Business is expansive, spanning B2B capabilities (self-serve tools, APIs, billing and reporting) as well as the B2B2C rider experience of Business Profiles, Lyft Pass, and Rewards.

We're seeking a Staff Product Manager to build Lyft Business Growth: own the marketing and lifecycle stack, the acquisition and activation strategy, and the journey that lands customers in our core experiences. You will define growth loops across the portfolio, build shared infrastructure for lifecycle, attribution, and experimentation, and partner with vertical PMs, marketing, and engineering to convert demand into durable engagement and revenue.

Responsibilities:

• Define the growth strategy across the Lyft Business funnel: acquisition, activation, conversion, retention, and expansion. Set the north-star metrics and segment-level targets that anchor portfolio prioritization.
• Build the growth stack: lifecycle and CRM messaging, in-app activation primitives, attribution, and product analytics. Define what is shared infrastructure vs. vertical-specific and lead the engagement model with vertical PMs.
• Own the path into our experiences. Architect the journey from awareness through landing in the admin portal, rider app, and partner surfaces. Identify and close drop-off across registration, onboarding, and first value.
• Design and operate growth loops that convert acquired customers into channels for new acquisition (referrals, sponsored programs, organic and paid feedback loops). Productize the loops so each iteration compounds.
• Part of a core team of Engineers, Designers, Data Scientists, Lifecycle Marketers, and Product Marketers. Set the experimentation cadence, the bar for shipping, and the standard for readouts. Hold the portfolio accountable to a defensible run rate of validated tests.
• Be the authority on growth performance. Translate funnel data, cohort behavior, and experiment results into the next quarter's prioritization. Represent Lyft Business Growth in exec reviews and cross-org forums.

Experience:

• 8+ years of product management experience, with a meaningful portion owning growth, lifecycle, or funnel work at scale. Track record of measurable, durable impact on acquisition, activation, or retention metrics that you can defend.
• Demonstrated ownership of broad, ambiguous problem areas that span teams. You have set a multi-year growth strategy and built shared infrastructure that compounded across products.
• Quantitative rigor and experimentation discipline. You think in funnels, cohorts, and growth loops. You size opportunities, design clean A/B tests, and read results without overclaiming.
• Fluency with the modern growth stack: lifecycle and CRM platforms, attribution, product analytics (Amplitude, Mixpanel, or similar), and experimentation tooling.
• Comfortable in B2B, B2B2C, or marketplace contexts with multiple customer types whose interests do not always align.
• Exceptional communication and influence at every altitude, from a growth engineer debating instrumentation to a VP sponsoring the revenue target. You move organizations to act.

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan with company match to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the San Francisco area is $176,000 - $220,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Who We Are:

Click Therapeutics, Inc., develops, validates, and commercializes software as prescription medical treatments for people with unmet medical needs. As a leading innovator of Digital Therapeutics™, Click delivers accessible, clinically proven, FDA-regulated prescription treatments to the smartphone in your hand. Click’s treatments are defined by a commitment to applying technical and scientific rigor and patient-centric design to the development process. This results in uniquely engaging experiences that achieve compelling clinical outcomes for patients seeking new treatment options. Click Therapeutics continuously expands and refines its platform with novel cognitive, behavioral and neuromodulatory mechanisms of action and advanced data-driven tools such as artificial intelligence and machine learning. The digital therapeutics under development on Click’s platform address diverse areas of therapeutic need, including indications in psychiatry, neurology, oncology, immunology, and cardiometabolic diseases. Consistently named a best place to work, Click fosters an inclusive, diverse workforce of innovators, clinicians, scientists, researchers, designers, technologists, engineers and more, united in a common mission to provide patients everywhere access to safe and effective prescription digital therapeutics. For more information, visit www.clicktherapeutics.com and connect with us on LinkedIn. 

About the Role:

As a Senior Director / Vice President of Access, Policy, and Commercial Operations, you will be the backbone of the commercial organization. You will design the financial architecture of the product, shape the external policy and regulatory environments to support PDTs, and ensure long term viability of the PDT category.  

The role reports to the Chief Commercial Officer and will work closely with senior counterparts in the Medical Office and Strategy Office. We are looking for someone with a strong background in Policy and Market Access Operations to also develop the Click playbook for Prescription Digital Therapeutic (PDT) launches across multiple therapeutic areas.

This position is based out of Click’s headquarters located in Tribeca, NYC, at the center of one of the fastest-growing digital health communities. We have a hybrid working model that consists of at least 4 days in office each week.

Responsibilities:

• Pricing & Contracting Strategy

  • Architect and execute comprehensive US pricing strategies, including WAC-to-Net modeling and multi-year GTN (Gross-to-Net) forecasting to ensure sustainable brand profitability
  • Design and negotiate innovative contracting frameworks to secure optimal formulary positioning.
  • Lead the Deal Evaluation process, utilizing rigorous financial sensitivity analysis to balance market share gains against rebate ceilings and price-protection liabilities.

  Reimbursement & Operations

  • Engineer end-to-end payment flows that bridge the gap between contract execution and claims adjudication, ensuring seamless provider and pharmacy reimbursement.
  • Oversee operational pathways for claims processing, proactively identifying and resolving "bottlenecks" in the medical or pharmacy benefit triggers to minimize script abandonment.

  Patient Support & Distribution

  • Design and scale the "Hub" infrastructure and Digital Pharmacy partnerships to optimize patient onboarding and speed-to-therapy.
  • Implement a high-touch patient contact model (Care Guides/Coaches) leveraging RWE (Real-World Evidence) to drive therapy persistence and long-term outcomes

  Commercial Effectiveness & Data Strategy

  • Own the commercial data ecosystem, integrating real-time app data with traditional claims data 
  • Establish key performance indicators (KPIs) to monitor pull-through effectiveness, ensuring field teams are prioritizing the highest-yield payer segments.
  • Drive call planning, reach and frequency for sales team to execute in the field 

  Government Affairs & Advocacy

  • Lead lobbying efforts and advocacy coalitions to advance statutory coverage (e.g., Access to Prescription Digital Therapeutics Act) and shape the federal PDT landscape
  • Develop and execute localized market access plans to open coverage pathways for specialized populations (e.g., Schizophrenia), navigating state-specific PDL (Preferred Drug List) processes

  Coding, Billing & Reimbursement Policy

  • Coding & Compendia Management: Lead the strategy for HCPCS, CPT, and ICD-10 coding alignment; oversee successful listing in key drug compendia (First Databank, Medi-Span) to ensure automated billing
  • Payer Dossier Development: Develop AMCP dossiers and Budget Impact Models (BIM) that substantiate the clinical and economic value proposition to P&T committees
  • Policy Influence: Serve as the primary internal expert for PDURS (Prescription Drug Utilization Review) and Physician Fee Schedule updates to ensure long-term payment recognition

Qualifications: 

At Click, we aren't just looking for talent; we are looking for the next evolution of the modern professional. To us, AI is not a future possibility, it is a present-day prerequisite. We expect every Click colleague to have seamlessly integrated AI into their professional workflow and personal productivity, using it as a force multiplier to move faster, think deeper, and deliver superlative results that were previously out of reach. If you do not yet view AI as an essential partner in your daily pursuit of excellence, you will find it impossible to keep pace with our mission. High performers who harness AI technology to transcend traditional boundaries and set new benchmarks for professional excellence will thrive at Click.

• Bachelor’s degree required; MBA, PharmD, or MPH preferred to navigate the complex intersection of business and clinical strategy
• 15+ years of progressive leadership within the pharmaceutical sectors, with a proven track record across Market Access and Pharma Commercial Operations
• Demonstrated success leading multiple brand launches, overseeing the journey from pre-approval market shaping to post-launch pull-through
• Strategic capabilities with the ability to conceive, develop and implement multi-dimensional roadmaps and business plans
• Deep understanding of the US payer landscape, with a preferred focus on Medicaid, state government accounts, and public affairs policy to navigate evolving legislative environments
• Sophisticated understanding of cross-functional ecosystems, including Sales, Marketing Analytics, Account Management, and Pricing and Contracting 
• Exceptional communication and interpersonal skills, with the "emotional intelligence" required to drive consensus across diverse cultures and complex matrixed disciplines.

Click Preferred Qualifications:

• Knowledge of or experience with Digital Therapeutics and/or Prescription Digital Therapeutics is considered a plus
• Experience in other commercial functions (Marketing, Sales Enablement) 

Compensation:

The base salary range for this position is between $180,000 - $280,000. The final base salary will be dependent upon skills, experience and location. In addition to the base salary, Click Therapeutics offers an annual performance-based cash bonus and a generous equity package.

Benefits:

The role includes great benefits and is an excellent wealth-building opportunity at a fast-growing pre-IPO company in a nascent and extremely exciting space. 

Competitive Salary with Annual Review | Cash Bonus | Stock Options | 5% 401(k) matching | Medical | Dental | Vision | Life Insurance | Voluntary Benefits | Unlimited PTO | Uber One | Nectar Rewards | One Medical | Fertility Support | Fitness Reimbursement | Bike Membership | Professional Development Stipend | DoorDash and Catered Lunches | Parent Benefits | LinkedIn Learning | Gemini Enterprise Stack | Industrious Workspaces | Commuter Subsidies | Flexible Work Arrangement | Choice of Mac or Windows | Sponsored Company Events | Office Snacks and Beverages | Much More…

Equal Employment Opportunity:

Click Therapeutics is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Click Therapeutics also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must have authorization to work for Click Therapeutics in the U.S. In certain circumstances it may be advantageous to Click Therapeutics to support the application(s) for temporary visa classification and/or sponsor applications for permanent residence so that a foreign national colleague can accept or remain in a work assignment in the U. S. For certain classes of temporary visas, the resulting work authorization may be specific to Click Therapeutics and the specific job and/or work site. Click Therapeutics may at its business discretion decide to or refrain from obtaining, maintaining and/or extending the temporary visa status and/or sponsoring a colleague for permanent residency and /or employment eligibility, considering factors such as availability of qualified U.S. workers and the colleague's long-term prospects for securing lawful permanent residence, among other reasons. Employment applicants requiring immigration sponsorship must disclose, when initial application for employment is made, whether or not they are legally authorized to work for Click Therapeutics in the U.S. and, if so, whether that authorization permits them to work in the job they seek. In no case should Click Therapeutics support of a colleague's temporary visa application or sponsorship of a colleague for permanent residence be construed to guarantee success of that application or amend or otherwise invalidate the "at-will" employment relationship between the colleague and Click Therapeutics.

Recruitment Phishing Scams:

Fake job advertisements and offers are increasingly appearing on the internet. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond and report it to the Federal Trade Commission and the FBI at https://www.ic3.gov/Home/ComplaintChoice.

Please be mindful of the following:

• Click Therapeutics will only reach out to you through an “@clicktherapeutics.com” email address.Other than your email address or telephone number, which you may provide via a job application portal, Click Therapeutics will never ask you to provide personally identifiable information about yourself (such as a Social Security Number or Driver’s License Number) via a messaging application (like that used on the LinkedIn platform or Microsoft Teams).
• Click Therapeutics will conduct interviews face-to-face over Zoom.
• All job postings will be listed on the Click Therapeutics official career page.

About the Role

Accelerating clinical research is one of the defining challenges in healthcare. Promising therapies exist that patients can't access because the operational infrastructure to run clinical trials efficiently doesn't exist yet. We're building it. That means designing technology systems that bring order to a fragmented landscape of clinical data sources, automating the operational work that slows trials down, and turning real-world clinical data into a foundation for predictive intelligence.

We're looking for a Staff Software Engineer to own the design and implementation of the core systems that make this possible. This means building robust integrations across a complex, fragmented landscape of EHRs, CTMS platforms, and clinical data sources, each with its own data models, access patterns, and operational constraints. It also means building the data infrastructure that powers our predictive capabilities: the pipelines, feature stores, and training infrastructure that allow us to move from raw clinical data to models that meaningfully improve trial execution. This is a generalist role for someone who thinks in systems. You'll move between architecture and implementation, between integration engineering and ML infrastructure, between defining technical strategy and writing the code that proves it out. The problems are genuinely hard, largely unsolved, and what you build will matter.

This is an opportunity for someone who wants to be a part of a small, fast moving engineering team at a formative stage. You'll shape what gets built, how decisions get made, and what the team becomes.

Responsibilities

• Own the technical architecture for our core systems and build the foundational abstractions and interfaces that everything else is built on top of
• Build reliable integrations with dozens of external clinical data systems (EHRs, CTMS, eSource, labs), treating this as a hard systems design problem, not just an ingestion problem
• Build and evolve the infrastructure that supports model training and predictive capabilities, from ingestion through feature engineering and serving
• Move fast by prototyping to drive experimentation; derisk ideas quickly to keep the team building what works
• Evaluate and choose the technologies we build on: make build vs. buy decisions, select vendors, and shape our long-term infrastructure strategy
• Make the key technical tradeoffs between speed and durability, between generality and shipping
• Work across product, clinical operations, and data science to make sure you're solving the right problems, not just the interesting ones
• Help shape the engineering culture of a small, growing team: how technical decisions get made, how problems get debated, what rigor looks like in practice

What We’re Looking For

Required Qualifications

• Have 10+ years of software engineering experience, with significant time spent designing and building systems not just features
• Experience with healthcare data systems (HL7, FHIR, EHR/EMR integrations) or other highly regulated data environments
• Have 2+ years experience working in a high-growth startup environment
• Have deep experience with system integration, particularly across unreliable or heterogeneous external data sources
• Can think through and explain the full picture of a complex system while still being effective at the implementation level
• Experience using AI tooling and frameworks as part of your engineering workflow
• Have built data pipelines and infrastructure that support analytical or ML workloads in production
• Strong across the backend stack (Python, SQL, cloud infrastructure) and can pick up new tools and systems quickly
• Have built systems from early stages, making foundational decisions with incomplete information, not just extending established infrastructure
• Naturally raise the quality of the engineering around you through code review, architecture guidance, and honest technical conversation

Preferred Qualifications

• Experience building ML training infrastructure or feature platforms
• Familiarity with clinical operations, systems, or life sciences data
• SOC 2, HIPAA or similar compliance experience baked into engineering practice
• A track record of building systems that had to work correctly under real operational constraints, scale and complexity

About the Role

Accelerating clinical research is one of the defining challenges in healthcare. Promising therapies exist that patients can't access because the operational infrastructure to run clinical trials efficiently doesn't exist yet. We're building it. That means designing technology systems that bring order to a fragmented landscape of clinical data sources, automating the operational work that slows trials down, and turning real-world clinical data into a foundation for predictive intelligence.

We're building a uniquely valuable data asset: real-world patient and research data flowing across 80+ trial sites, spanning dozens of EHRs and clinical systems, focused on patient populations that are chronically underserved by existing clinical research infrastructure. Your job is to build the pipelines, data models, and AI infrastructure that make this asset real, from ingestion and normalization through to the systems that power predictions on top of it. You'll own data quality and observability as foundational engineering problems. You'll also have a direct hand in shaping how this data drives our AI strategy, what we model, what we predict, and what becomes possible.

This is an opportunity for someone who wants to be part of a small, fast-moving engineering team at a formative stage. You'll shape what gets built, how decisions get made, and what the team becomes.

Responsibilities

• Own the data layer and architecture:  the models, schemas, and infrastructure decisions that everything downstream depends on
• Build and operate the pipelines and transformations that move data from ingestion through normalization, enrichment, and into the formats that support analytics, ML training, and production model serving
• Own data quality and observability: build the systems that make data issues visible and correctable before they compound
• Partner with ML and engineering teams to identify what's modelable, define training data requirements, and build the data foundations for new predictive capabilities
• Define how clinical and operational data is governed across the system
• Evaluate and select the tools and technologies that make up the data stack, with a clear point of view on build vs. buy
• Help shape the engineering culture of a small, growing team: how technical decisions get made, how problems get debated, what rigor looks like in practice

What We’re Looking For

Required Qualifications

• 10+ years of experience in data engineering or related roles, with significant time spent building data systems
• Experience with healthcare data strongly preferred (HL7, FHIR, claims, EHR extracts) or other complex, regulated data domains
• Deep experience modeling and integrating data from multiple heterogeneous sources with inconsistent schemas and quality
• Experience applying AI and LLMs to data engineering problems: extraction, normalization, classification, entity resolution
• Strong understanding of how data infrastructure supports ML workflows from feature engineering to training data pipelines to model serving
• Fluent in SQL and at least one modern programming language (Python, Java, Scala, Go), with experience across modern data infrastructure - distributed processing, streaming, cloud-native storage, orchestration, and transformation frameworks
• Have built data systems from early stages, making foundational decisions with incomplete information
• Naturally raise the quality of the engineering around you through code review, design guidance, and honest technical conversation

Preferred Qualifications

• Experience building data infrastructure that directly supports ML model training and evaluation
• Familiarity with clinical trial operations, EDC systems, or life sciences data
• SOC 2, HIPAA or similar compliance experience baked into engineering practice
• A track record of building or improving data systems that others had given up on making reliable