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We're selective about who joins us. Our lean engineering team is made up of people who've built and delivered at a high level before, and we're looking for one more exceptional Full Stack Engineer to raise the bar again. You'll work directly with the founding team, own projects end-to-end, and shape the technical direction of a product already proving itself at scale.
What You'll Do:
Own features end-to-end, from product and technical design through implementation, testing, and deployment
Build and refine AI-powered features, pushing on quality, performance, and cost
Build across both our merchant-facing dashboard and customer-facing storefronts
Solve real performance and scalability challenges as usage grows
Design and evolve our APIs, services, and data models
Work with event and usage data at scale across our product and analytics system
Help define our architecture and engineering practices as we grow

We're hiring a Data Engineer to architect and own the systems that turn raw signal from merchants, customers, and experiments into something the whole company can build on.
Data is at the heart of everything we do - it powers our AI models, drives merchant-facing analytics, and informs how we make product decisions every day.
This is a high-ownership role for someone who wants to shape data architecture from the ground up- not inherit someone else's roadmap. You'll be the person who makes sure our data is fast, trustworthy, and easy for every team to use.
What You'll Do:
Architect and build scalable data pipelines processing millions of events daily from merchant stores, product usage, experiments, and third-party integrations
Own our data warehouse strategy end-to-end- reliability, performance, and scalability as we grow
Define our event architecture and set the standards for how the company captures and models product and business data
Build data quality practices- monitoring, validation, testing, and alerting- that the rest of the team can trust
Partner directly with Product and Engineering to unlock the data behind our AI features, merchant analytics, and experimentation
Build self-service tooling so other teams can query and analyze data without depending on you as a bottleneck
Set the bar for data modeling, orchestration, and documentation across the org

What am I going to do?
Monitor and optimize paid search campaigns across multiple channels, primarily Google Search, ensuring alignment with business objectives.
Leverage AI tools and emerging technologies to enhance workflows, improve operational efficiency, and strengthen campaign analysis.
Continuously explore and implement AI driven methods to improve campaign performance and team productivity.
Stay up to date on the latest trends in paid search and digital marketing, continuously integrating new tactics to maintain a competitive edge.
Use analytical tools to evaluate campaign performance and deliver actionable insights to stakeholders, helping the team make informed decisions and achieve its goals.
Develop and manage monthly budget plans to optimize ROI.
Act as a point of contact for the external data and analytics team, aligning on measurement strategy, data access, and performance modeling.
Build and maintain dashboards to monitor team KPIs, uncover performance patterns, and track progress toward goals.

What am I going to do?
Build and evolve our production LLM pipelines, turning unstructured text into structured data that the product consumes.
Design and operate large scale batch and near real time data processing, including correctness, freshness and cost.
Build the retrieval and serving layers that make our data usable in real time.
Decide what runs on which LLM model, and prove the choice with numbers rather than intuition.
Keep cost and latency predictable as volume grows: throughput, failure handling and monitoring.
Build agentic workflows that makes the whole team faster, and help set the standards others work to.

What am I going to do?
Translate business goals, campaigns, and product messaging into design that tells a story
Work autonomously with stakeholders in Growth, Brand, Leadership, and Product, managing your own priorities
Maintain and evolve our brand guidelines, ensuring consistency across every marketing and brand deliverable.

What am I going to do?
Full Ownership: Drive infrastructure initiatives through their entire lifecycle, taking accountability from initial design to delivery and long-term operations.
Kubernetes Orchestration: Architect, implement, and maintain production-grade Kubernetes clusters, ensuring they remain scalable and resilient under high-scale demand.
Cloud Architecture: Design and manage robust AWS environments, including VPC, IAM, and EKS, to support a highly available platform architecture.
Infrastructure as Code: Utilize Terraform to build and evolve our environment, applying configuration management principles to all IaC workflows.
CI/CD Excellence: Support and improve our deployment pipelines using Jenkins and GitHub Actions to maintain a fast development velocity.
Observability: Implement comprehensive monitoring solutions with Prometheus and Grafana to ensure deep visibility into platform health.
Operational Resilience: Join the DevOps on-call rotation, taking responsibility for mitigating production issues and maintaining site reliability.
Tooling & Innovation: Continuously evaluate and adopt tools - security and otherwise - that raise the bar on engineering efficiency and security posture at our company.

Required DevOps Team Lead
Position Overview
We are looking for driven, curious people who like to learn whatever necessary to create new features, who want to make an impact and be a part of a high paced development team. Our stack consists of Python, React, Redux, React Native, GCP (GoogleCloud Platform) and more, but what matters most is attitude - if you love creating new features, care about building an excellent product that gives good service to people and you are willing to learn whatever necessary to do so, you belong with us.
Key Responsibilities
This is a hands-on leadership role - you'll split your time roughly 50/50 between people management and technical execution (writing code, owning architecture, being in the weeds).
Hire, manage, and grow a team of DevOps/SRE engineers, focusing on their performance, career development, and day-to-day support.
Lead the technical vision and roadmap for the Internal Developer Platform, working closely with engineering leadership to prioritize and sequence platform investments.
Drive architectural decisions for platform primitives - evaluate trade-offs and build consensus across engineering teams.
Build and maintain an Internal Developer Platform (IDP) -self-service workflows for provisioning, deploying, and operating services.
Mentor and grow platform engineers - pair programming, code reviews, and shaping engineering culture.
Own reliability standards: define SLOs, lead blameless postmortems, and drive systemic improvements.
Manage the Kubernetes (GKE) control plane and cluster-level primitives.
Own infrastructure-as-code standards (Terraform, Helm) and enforce GitOps practices across the org.
Build and maintain the observability platform - structured logging, metrics pipelines, alerting, and SLOs.,
Manage AI data infrastructure: pipelines and embedding stores as infrastructure services.

What am I going to do?
Make an impact: Drive outcomes across the company marketplace for clients and freelancers alike - but expect the specific area you own to shift. Where you focus is set by our strategic Bets, and those change as the Bets change.
Lead a multidisciplinary team: Collaborate with engineers, designers, and data scientists to drive product delivery and innovation.
Turn data into decisions: Define how we collect, validate, and use the signals that power the product - translating data into reliable inputs for better decision-making.
Drive the end-to-end user experience: Continuously improve the surfaces and flows that users rely on, from onboarding to ongoing engagement.
Develop and execute roadmaps: Create strategic product roadmaps and lead their execution, balancing short-term delivery with long-term platform thinking.
Collaborate across teams: Work with stakeholders across the organization to align on a shared direction and amplify impact.
How we actually work: our company's product org runs on strategic Bets - leadership sets a small number of company-wide Bets each half, derived directly from our OKRs, and most of our capacity flows there. Teams get assigned to whatever Bet most needs them next, not necessarily their "home" domain. That means the traditional model - a fixed squad with permanent mission and task ownership - doesn't really apply here. Scope, team composition, and priorities move as the Bets move, sometimes mid-cycle. You're joining a team and a mission-driven org, not a fixed job description, and the right person for this role reads that as the exciting part, not the risky part.

Shape the future of AI-powered clinical experiences.
At our company, were building industry-leading clinical AI that helps healthcare teams improve patient outcomes and optimize clinical operations. Our AI platform delivers the right insights at the right moment, embedded directly into clinical workflows.
Were looking for an exceptional Director of Product Design to lead our Product Design team and help define the next generation of AI-powered clinical experiences.
This is a player-coach leadership role. Youll lead and mentor a team of experienced Product Designers, while staying close to the work yourself. Youll help solve some of our most complex product and UX challenges to create products that clinicians trust, adopt, and love to use. Youll shape our design direction and raise the bar for product quality across our company.
What youll do:
Define and drive our companys Product Design vision, principles, and strategy.
Lead, coach, and develop a team of three senior Product Designers.
Develop a deep understanding of clinical workflows and translate complex real-world challenges into simple, intuitive product experiences.
Stay hands-on with high-impact and complex design challenges, from discovery through execution.
Build a strong research-driven design culture centered on deep customer and workflow understanding.
Shape AI-native experiences that fit naturally into clinicians daily workflows.
Partner closely with Product, Engineering, Clinical, and Executive leadership to influence product strategy and priorities.
Establish and evolve best practices for UX research, usability testing, design systems, and continuous product validation.
Raise the bar for craft, consistency, and product experience across the organization.

This is a role in our companys core AI group, which specializes in developing cutting-edge AI solutions in healthcare, enhancing medical imaging and diagnostics. As a Tech Leader in the AI Algorithm Engineering group, you will play a pivotal role in both managing end-to-end AI research and development efforts and hands-on involvement in key-initiatives. Your responsibility will include design, implementation, guidance and mentoring for team members, and representing the AI considerations in cross-team discussions. You will leverage your extensive experience to lead multiple AI projects, and will be a key figure in leading successful execution and in finding creative solutions to difficult bottlenecks, across data, AI, engineering and product considerations.
Responsibilities
Lead the design, development, and implementation of accurate and robust AI algorithms for medical data with a hands-on approach.
Collaborate with cross-functional teams, including data scientists, software engineers, product managers and clinical data experts, to ensure AI considerations have a profound impact on R&D and Product decisions across the projects.
Design and conduct research and experimentation to improve algorithm performance and accuracy.
Stay at the forefront of the latest advancements in AI and machine learning, particularly in the medical domain, and drive their adoption within the team.
Oversee multiple projects, ensuring successful execution, timely delivery and alignment with product and business objectives.
Provide strategic direction and technical mentoring to elevate the capabilities of the AI team.

This is a Senior AI Software Engineer role within our companys AI Engineering group, focused on building and scaling the infrastructure behind advanced AI solutions in computer vision and NLP for medical imaging. The role combines hands-on software development, technical leadership, and close collaboration with cross-functional teams to transform AI innovation into scalable, high-impact products.
Responsibilities
Design, develop and lead SW development of infrastructure for innovative AI algorithms for computer vision and NLP in the context of medical imaging.
Collaborate with cross-functional teams, including researchers and product managers, to drive the development of new AI products and features.
Work in a unique professional culture applying the full range of software engineering capabilities in the core parts of the A.I. systems
Develop and maintain high-quality, scalable, and efficient code.
Take initiative in exploring and adopting of new technological advances in all relevant domains (for example, scalable cloud based systems, DL and CV SW frameworks, Large scale ML systems).

This is a leadership role within our companys core AI group, focused on building and evolving the AI-facing software systems that enable our algorithms to move from research into robust, production-ready components.
The AI Software team is responsible for developing the software layers, tooling, and core systems that support the development, execution, and operational readiness of AI models throughout their lifecycle. As a Team Lead, you will shape the teams technical direction, guide execution, and remain deeply hands-on, contributing to architecture, implementation, and key technical decisions.
You will lead a scrum team, work closely with AI researchers and algorithm engineers, and collaborate with product and engineering partners. The role combines strong software engineering with AI context, in a culture where software quality is a core enabler of AI excellence, and technical leadership is grounded in ownership, clarity, and impact.
Responsibilities
Lead the teams work on core software systems that sit at the intersection of algorithms and engineering, owning their design and implementation as part of the overall solution.
Guide and support team members growth, providing technical leadership, mentoring, and day-to-day coaching while fostering ownership and accountability.
Stay deeply hands-on in design and implementation, contributing code and solving complex software engineering problems where impact is highest.
Collaborate closely across teams, working with algorithm engineers, Product, and Engineering partners to define interfaces and align priorities.
Own project-level architecture and technical decisions, ensuring high-quality systems through sound design, code reviews, testing practices, and clear documentation.