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We're looking for a technical support engineer with 2-3 years of experience to own the support queue for our enterprise customers, most of them in the US. You'll dig into the logs and the data to find out why something broke, and help run customer data migrations and the monitoring that catches problems before customers do.
What Youll Do:
Own the Support Queue: Take tickets from first response through resolution. You are responsible for meeting our response times, keeping every open ticket moving, and closing standard issues on your own.
Investigate Before You Escalate: Reproduce the problem, read the logs and the data, and isolate the cause. When something needs engineering, it reaches them with findings and evidence rather than a forwarded complaint.
Communicate with Customers: Keep customers informed in writing, manage expectations honestly, and stay credible even when the answer is not ready yet.
Run Customer Data Migrations: Map and validate customer data as it moves into, and catch the records that don't fit before the customer does.
Write the Help Center: Turn what you solve into articles on common actions and troubleshooting, so the answer exists the next time someone asks.
Build Customer Enablement: Create and maintain a library of short workflow recordings, and run group training sessions, webinars and office hours as the role grows.
Monitor Proactively: Build and run monitors over our observability stack, triage the alerts they raise, and reach out to customers before they notice the problem themselves.

Were looking for a a senior backend engineer with 6+ years of experience, playing a key role in building impactful, user-centric products from the ground up. As part of the companys early engineering team, youll help shape both the product and the engineering culture, own backend architecture, lead end-to-end feature development, and drive technical excellence while collaborating closely with product, design, and infrastructure in a fast-growing environment.
What Youll Do:
Define and evolve the backend architecture, infrastructure and development best practices for a fast-growing team.
Own features end-to-end - from concept and design discussions to implementation, deployment and observability.
Solve complex challenges in distributed systems, event-driven architectures and real-time data pipelines.
Continuously improve developer workflows - identify friction, integrate new tools, automate repetitive tasks and champion engineering excellence.
Lead and mentor a small team of engineers: drive planning, break down work, ensure quality delivery and help hire exceptional talent.
Collaborate with experienced peers - engineers, PMs and designers - whove built large-scale systems at top-tier companies.
Here are some of the technologies we work with: Golang, Python, Protobuf, React, Typescript, Kafka, Postgresql, Redis, Kubernetes, Terraform and AWS.

We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems.
A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions.
Job Description:
Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructure-someone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacks-its about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakes-designed for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.
Operate and debug object store-backed data lake infrastructure, enabling schema-on-read access, high-throughput ingestion, advanced searching strategies, and performance tuning for large-scale workloads.

We're looking for a security researcher with 5+ years of experience to discover new ways vendors put their customers at risk. You'll own research end to end, from the first hypothesis to a shipped capability, and help decide where we looks next.
What You'll Do:
Discover new ways attackers can use vendors to get in, and prove or kill each idea with real data.
Decide which security tools and data sources we should integrate next, and why.
Shape the logic and knowledge behind our AI risk agents.
Build your own tools when the one you need doesn't exist.
Partner with engineering to turn validated research into product.
Work alongside the best security researchers in the industry.

Required GTM Engineer
About the role:
We're looking for a builder to design and own the technical backbone of our go-to-market engine. By combining AI, automation, data, and modern business systems, you'll build the infrastructure that enables our commercial teams to scale faster.
This isn't a role focused on maintaining existing tools or pulling reports. You'll create new workflows, integrations, AI-powered automations, and internal products that have a direct impact on revenue and the way our business operates.
Working across Operations, Sales, Marketing, Customer Success, Product, and Engineering, you'll solve complex business problems through technology and build the systems that power our next stage of growth.
What you'll do:
Own and evolve our GTM technology stack
Build AI workflows, automations, and internal tools
Design integrations across HubSpot, product data, and third-party platforms
Build the infrastructure that helps our commercial teams move faster and operate more efficiently
Manage and optimize CRM and revenue systems
Build dashboards, reporting, and revenue insights
Partner with Sales, Marketing, Customer Success, Product, and Engineering to eliminate operational bottlenecks and scale our GTM motion.

we are looking for a Cloud FinOps Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
Proactively identify and execute cost-saving opportunities through rightsizing, optimized scaling strategies, lifecycle management, and architectural improvements without impacting performance or velocity.
Collaborate with R&D and DevOps to evaluate the cost-impact of architectural decisions, ensuring "cost-by-design" is a core part of our infrastructure evolution.
Design and maintain granular visibility into cloud spend, transforming complex data into actionable insights that inform relevant teams and empower them to take ownership of their usage.
Take ownership of cost operations across AWS, Azure, GCP, and OCI, establishing consistent tagging policies, automated guardrails, and governance frameworks.
Manage and optimize our portfolio of RIs, Savings Plans, and Spot instances to maximize our cloud ROI.

We are seeking a talented and experienced Software Engineer to design, build, and optimize high-performance distributed systems, core data engines, and backend infrastructure. This role requires deep system-level architecture understanding, the ability to handle large-scale clusters processing petabytes of data, and mastery of modern C/C++ and Linux environment internals. Work in a team of top-of-the-line software engineers, developing state-of-the-art company AI OS platform for deployment in the Cloud to serve mission-critical enterprise-level data.
our company on Cloud software design includes:
A highly scalable distributed platform featuring complex high-availability mechanisms, and advanced APIs, interoperable with a diverse software ecosystem.
Deploying our company OS in all major hyper-scalers cloud vendors.

Shape the Future of AI Infrastructure with our company
This is a rare opportunity to join one of the fastest-growing infrastructure companies in tech history, right at the epicenter of the AI revolution.
Recognized by Forbes as "the future of the market," our company is building the foundational enterprise software powering the AI era. We engineer platforms that capture, catalog, refine, and protect massive datasets across data centers, edge, and cloud, making real-time analytics, AI training, and inference simpler and faster than ever before.
Our explosive growth is fueled by relentless engineering innovation, a customer-first mindset, and a team of fearless company ronauts who thrive on solving computing's hardest problems. Join us at this pivotal moment in technology history and make a lasting impact on how the world processes data.
We are seeking a talented and experienced Software Engineer to design, build, and optimize high-performance distributed systems, core data engines, and backend infrastructure. This role requires deep system-level architecture understanding, the ability to handle large-scale clusters processing petabytes of data, and mastery of modern C/C++ and Linux environment internals.
What You'll Do:
Design and develop core components of a next-generation distributed storage platform.
Build scalable and resilient distributed services handling petabytes of data across large clusters.
Participate in architecture discussions around consistency, replication, fault tolerance, and system scalability.
Investigate and resolve complex production issues spanning storage, networking, distributed services, and operating system layers.
Collaborate closely with architects, researchers, and engineering teams to deliver high-performance data infrastructure powering AI, analytics, and enterprise workloads.

Shape the Future of AI Infrastructure with our company
This is a rare opportunity to join one of the fastest-growing infrastructure companies in tech history, right at the epicenter of the AI revolution.
Recognized by Forbes as "the future of the market," our company is building the foundational enterprise software powering the AI era. We engineer platforms that capture, catalog, refine, and protect massive datasets across data centers, edge, and cloud, making real-time analytics, AI training, and inference simpler and faster than ever before.
Our explosive growth is fueled by relentless engineering innovation, a customer-first mindset, and a team of fearless company ronauts who thrive on solving computing's hardest problems. Join us at this pivotal moment in technology history and make a lasting impact on how the world processes data.
We are seeking a talented and experienced Software Engineer to design, build, and optimize high-performance distributed systems, core data engines, and backend infrastructure.

Shape the Future of AI Infrastructure with our company
This is a rare opportunity to join one of the fastest-growing infrastructure companies in tech history, right at the epicenter of the AI revolution.
Recognized by Forbes as "the future of the market," our company is building the foundational enterprise software powering the AI era. We engineer platforms that capture, catalog, refine, and protect massive datasets across data centers, edge, and cloud, making real-time analytics, AI training, and inference simpler and faster than ever before.
Our explosive growth is fueled by relentless engineering innovation, a customer-first mindset, and a team of fearless company ronauts who thrive on solving computing's hardest problems. Join us at this pivotal moment in technology history and make a lasting impact on how the world processes data.
We are seeking a talented and experienced Software Engineer to design, build, and optimize high-performance distributed systems, core data engines, and backend infrastructure.
In this role, you will be responsible for qualifying hardware components such as servers, JBOFs, SSDs, network cards, switches, and optical transceivers. You will write requirement documents for new features, work with vendors on implementation and debugging, and transfer knowledge to internal teams, including software developers, QA, support, and manufacturing. Additionally, you will become the subject matter expert for specific hardware platforms and technologies. Join us and contribute to shaping the future of data management while being part of a fast-growing, innovative company.

we are looking for a Infrastructure Team Leader to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
What Youll Be Doing
Lead a team of 5-7 talented Software Engineers
Design, build and set up development tools and infrastructure for use by the various teams in the R&D organization.
Among the different tools:
test infrastructure used by the QA
Maintain and develop API and interfaces facing the company storage product + different cloud providers.
full stack bug investigation portal
VM orchestration
Collaborate with other teams to improve the productivity of the entire R&D organization.
Dealing with diverse technologies and domains - Docker, Git, Python, Linux, Python, Storage.