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The right candidate is an avid learner, an advocate for customers, and a collaborative teammate. The main responsibility of a Support Engineer is to help users solve technical challenges and use us to make impactful product decisions. Weve had team members focus on developing their technical skills to join the product and engineering teams, hone their customer-facing skills to become customer success managers or sales engineers, and take on leadership roles in the Support organization.

Responsibilities

The core responsibility of a Support Engineer is to support our customers at every turn in the company`s journey by providing answers to product questions, sharing best practices, and debugging technical issues. You'll also develop your technical skills, collaborate with our Product team to improve our product, learn product analytics, and mentor new team members.

Become a product expert - you will help users understand our reports and features, help them use our APIs and SDKs, share best practices, and resolve account issues.
Respond to customer inquiries via Zendesk email, chat, Slack, and phone calls.
Investigate and document bugs and feature requests to share with our Product and Engineering teams.
Provide feedback regarding internal support processes, product functionality, and customer education resources to improve the customer experience.
Shape the product by regularly working closely with PMs, engineers, and designers to incorporate customer learnings into change.

We are an event analytics platform for builders who need answers from their data at their fingertips. When everyone in the organization can see - and learn from - the impact of their work, they are poised to make better decisions. As a Sales Engineer, you are critical in presenting the value of our capabilities to a broad set of prospects. As we continue to grow our Sales organization, you'll be collaborating with Account Executives, Account Managers, and the Country Manager as a trusted advisor to customers, working to tie our solutions to their business needs. Our SEs need to be nimble, able to clearly articulate the technical benefits and requirements of our to developers and product managers, and express the value of our product to high-level executives.
In the first month, you will become our expert on both features and functionality, as well as implementation. You will be given the opportunity to shadow customer calls and demos with current Sales Engineers and Account Executives while learning how to articulate our value proposition. You will be trained on our internal systems and tools in order to be set up for success.
Within the first three months, you will be directly involved in deal cycles with Account Executives. You will lead the technical qualification for customers use cases and deliver customized demos for prospects. You will have a clear understanding of how we are implemented across all platforms and be able to guide customers toward the right solution for their needs. The SE will be critical in setting expectations for successful implementations and preparing both internal and external teams for long-term success.

Responsibilities:
Serve as a trusted technical advisor for prospects to provide strategic consultation on data architecture, governance, instrumentation, and business outcomes.
Effectively communicate and consult at all levels of the customers organization to earn customers' trust and ultimately influence buying decisions.
Bridge the technical-business gap with your prospect - working with high-level business stakeholders to define success for proof of concepts and successfully execute and achieve those outcomes.
Utilize your knowledge and technical and consultative skills to impart best practices throughout proof of concept projects.
Partner with Account Executives to drive revenue growth by serving as the key technical contact for the customer.
Partner with post-sales teams to ensure the articulated pre-sales value proposition translates into tangible post-sales value.
Complete RFPs and Security Questionnaires.
Work cross-functionally with different organizations such as Sales, Marketing, Customer Success, Product, Engineering, and Legal.
Actively utilize Salesforce to track deal activity and customer requirements.
Be the Voice of the Prospect by collecting feedback from our potential customers and delivering it to the Product team.
Partner with Account Executives to drive revenue growth by serving as the key technical contact for the customer.

We are looking for an experienced MCP (Model Context Protocol) Software Engineer to design, develop, and optimize Model Context Protocol implementations.
You'll work on building robust MCP servers, client integrations, and tools that allow AI systems to securely access and interact with various data sources and services.
Key Responsibilities:
MCP Development & Implementation:
Design and develop MCP servers for various data sources (databases, APIs, file systems, cloud services)
Build and maintain MCP client integrations for AI applications and platforms
Implement secure authentication and authorization mechanisms for MCP connections
Develop custom MCP tools and resources to extend AI capabilities
Architecture & Design:
Architect scalable MCP solutions that handle high-volume data access patterns
Design efficient protocol implementations that minimize latency and maximize throughput
Create reusable MCP components and libraries for internal and external use
Establish best practices for MCP server development and deployment
Integration & Collaboration:
Integrate to our identity platform
Work with DevOps teams to deploy and monitor MCP services in production environments
Partner with security teams to ensure MCP implementations meet compliance and security requirements
Integrate MCP solutions with existing infrastructure and third-party services
Quality & Performance:
Write comprehensive tests for MCP implementations including unit, integration, and end-to-end tests
Monitor and optimize MCP server performance and resource utilization
Debug complex issues in distributed MCP environments
Maintain detailed documentation for MCP servers and integration patterns
Contribute to Open Source:
Engage with the open-source community, contributing to the development and improvement of MCP.

Our team is looking for a Deep Learning Engineer.
We are one of the few companies to have trained multi-billion parameter Large Language Models (LLMs), a feat that involves the most advanced engineering (large scale distributed training on thousands of cores). Serving these LLMs efficiently requires cutting-edge technology as well. As a deep learning engineer on the team, you will be responsible for maintaining and improving our training infrastructure, developing/scaling/testing new ideas, and adapting our code to run on and best utilize the newest and most advanced hardware accelerators.
Role and Responsibilities
Develop Large Language Models as part of our applied research projects and in support of our Platform, including designing, implementing and training massive-scale deep language models
Implement, optimize, scale and test new cutting edge ideas and architectures
Perform large-scale evaluations and comparisons of trained models across a range of benchmarks, as well as adding support for new benchmarks

An AI startup is looking for a Software Engineer / Architect for a senior role focused on leading backend architecture and designing complex systems at a critical pre-launch stage.

This position includes broad ownership over infrastructure, scalability, and implementing an AI-first engineering mindset across the product and organization.



Responsibilities:

Lead backend architecture and system design
Design services, APIs, and data flows for an AI product
Build scalable, reliable, production-ready systems
Lead AI-first development best practices
Work closely with the founders on the technical roadmap
Improve engineering processes, performance, and system design
Own product infrastructure in preparation for significant scale

An AI startup is looking for an AI Engineer to join its core team at an advanced and critical pre-launch stage.

This role focuses on building AI capabilities at the heart of the product, working on LLM-based systems and AI agents, and collaborating closely with product and data teams.



Responsibilities:

Develop and implement AI agents and LLM workflows
Work on prompting, retrieval, context management, and evaluation pipelines
Bring AI-based features and modules into production
Improve system answer quality and reliability
Collaborate with the data team on semantic layers and data modeling
Develop in Python within a production environment
Work with Docker, Git, and modern development workflows

We are looking for a talented and experienced Apple Platforms Software Engineer to join our team. In this role, you will take full ownership of a client application used by hundreds of thousands of users, working across the entire development lifecycle-from design to production.



Responsibilities

Own the end-to-end development of macOS/iOS client applications
Design and implement new features from scratch
Collaborate with DevOps to improve and maintain CI/CD and build systems
Research and adopt new technologies within the Apple ecosystem
Support the full application lifecycle, including releases and production issues
Work closely with QA, automation, product, and engineering teams

We are looking for a Senior Data Infrastructure Engineer to lead the design, build, and optimization of a modern data platform. The role involves hands-on work with cloud-based data technologies, building data lakes from scratch, and managing large-scale data pipelines while ensuring high performance, cost efficiency, and reliability. You will collaborate closely with data engineers, data science, analytics, and product teams to support business needs.



Key Responsibilities:

Design and build scalable data lakes / platforms using technologies such as Snowflake, Databricks, BigQuery, or Redshift
Develop and optimize large-scale data pipelines for batch and streaming use cases
Ensure high performance, scalability, and cost efficiency across data systems
Work with complex data workflows, AI models, transformations, and orchestration
Apply best practices in data modeling, monitoring, security, and governance

We are looking for a Senior Fullstack Engineer with deep expertise in React and Node.js to lead the architecture, performance, and quality of our fullstack systems. This is a highly hands-on role focused on building and scaling complex SaaS applications across devices and browsers, while working with modern AI-driven development tools.



Responsibilities

● Lead the architecture and development of fullstack web applications

● Build and maintain high-quality code using React and Node.js

● Optimize performance across frontend and backend systems

● Collaborate with product, design, and engineering teams

● Integrate AI-based development tools and workflows

If you're looking for an exciting opportunity to make a significant impact and grow with a passionate team.
What You Will Do:
Be a core member of a cross-functional AI innovation team, collaborating closely with software engineers, data scientists, and analysts.
Design, build, and optimize end-to-end AI-driven features and agentic workflows - from experimentation to validation and deployment (using Python and C#).
Develop scalable backend services to support production-grade agentic AI features.
Build and improve solutions powered by LLMs, AI agents, multi-agent systems and generative AI frameworks.
Evaluate agentic architectures and models performance, and contribute to monitoring, reliability, and continuous improvement in production.

We are looking for a talented Real-Time Embedded Software Engineer to join our Drive Team. You will develop new products, maintain existing ones, and contribute to the architecture of new features, working closely with hardware and algorithmic design teams.



Key Responsibilities:

Develop new products and sustain existing embedded software.
Design concepts and architecture for new product features.
Collaborate closely with R&D hardware and algorithmic design teams.

were shaping the future of secure software development in the AI era. If you're looking for an exciting opportunity to make a significant impact and grow with a passionate team, Apiiro is the place to be.
What you will do :
Release & hotfix management - Create and coordinate manual releases and hotfixes; build and publish release versions; maintain a centralized release calendar and manage release risk, quality and schedule.
Daily operations & syncs - Lead daily production sync meetings and act as the cross-team release/incident liaison across R&D, QA and DevOps.
Incident ownership - Own the incident.io platform (day-to-day configuration, runbooks, training for R&D, and status pages), run incident lifecycle activities, and drive post-mortems and RCAs for production bugs and outages.
Monitoring & alerting - Manage and maintain Grafana dashboards and alerting rules; respond to and triage alerts from Grafana and GCP (Cloud) monitoring; work with teams to reduce false positives and improve signal-to-noise in alerts.
On-call & incident triage - Participate in on-call rotations and act as escalation point for production issues; perform structured troubleshooting to mitigate issues and reduce MTTR.
Post-incident process - Lead post-mortems, own follow-up actions, and ensure lessons learned are integrated into process and tooling (e.g., smoke tests, cache clearing, alerting improvements).
Process & automation - Drive improvements to CI/CD, release automation, and production runbooks; help orchestrate IaC and deployment tooling to reduce manual risk.

were shaping the future of secure software development. If you're looking for an exciting opportunity to make a significant impact and grow with a passionate team,[.
What You Will Do:
You will be responsible for the design, implementation, and support of infrastructure across cloud and on-prem solutions. You will also automate and streamline operations and processes to rapidly release reliable applications faster and more frequently.
You will build and maintain tools for deployment and testing in stable and scalable production environments, and also participate in product design reviews to provide input on functional requirements, product designs, schedules, or potential project risks.
Maintaining close interaction with our customers is required to deeply understand and address their needs, this will be a significant part of your role.

were shaping the future of secure software development. If you're looking for an exciting opportunity to make a significant impact and grow with a passionate team, Apiiro is the place to be.
Your Role: Drive, Build, and Shape:
Build Scalable Solutions: Develop a robust, scalable system using a mix of languages, frameworks, and machine learning models. Youll take full ownership of features, guiding them from idea to live product.
Customer-Centric Development: Collaborate directly with customers to understand their needs and integrate valuable insights into your work.
Cross-Disciplinary Innovation: Engage in initiatives across various tech domains - from DevOps and infrastructure to data engineering and full-stack development - expanding your impact company-wide.

A Software company, developing a Cloud Security Platform, is looking for a Senior Cloud Security Software Engineer to join her team.

In this role, youll design and build backend components and security features for a scalable cloud security platform, working closely with product, frontend, and infrastructure teams.



What youll do:

Research and adopt new technologies.
Design and implement cloud security features.
Build MVPs for new product capabilities.
Write clean, efficient Go code.
Design data models and database schemas.
Write unit, component, and integration tests.
Debug and troubleshoot production issues.
Participate in code reviews and contribute to team standards.
Collaborate with frontend and platform teams on end-to-end integrations.
Assist with documentation and occasionally represent the product through blogs or talks.