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We are looking for an Escalation Engineer (part of the Engineering organization) to support escalation points from both the Customer Success organization as well as internally within the engineering teams. This position may also include interfacing with customers.
Responsibilities:
Troubleshoot, debug, analyze logs, profile code & provide temporary or permanent solutions.
Work closely with engineering teams to propose fixes or temporary workarounds for critical customer issues.
Build supporting automation to improve productivity (of both yourself and the team).
Understand customer use cases and work closely with Customer Success Engineers and Solution Architects to be an effective channel between Engineering teams and Customer Success.
Take complete ownership and follow-up on escalations.
Collaborate cross-functionally to solve difficult technical problems.

Were looking for a hands-on AI Engineering Tech Lead to define and drive AI-native engineering practices, lead the architecture and development of scalable, intelligent systems, and embed AI across the software development lifecycle. This role involves providing technical leadership, identifying and solving architectural challenges, and collaborating cross-functionally to deliver high-impact, production-grade solutions.
Responsibilities:
Define and codify AI-native engineering practices, patterns, and guidelines to elevate the software development lifecycle.
Provide technical leadership and mentorship, fostering an AI-first engineering culture across teams.
Architect and lead the development of AI-native system frameworks that emphasize modularity, extensibility, and adaptive scalability.
Identify architectural risks, systemic bottlenecks, and long‑term scalability concerns - and proactively drive solutions.
Collaborate closely with Product, Customer success, Security and Business stakeholders to ensure technical solutions deliver real business impact.

Were hiring a Customer Success Engineer to work directly with customers to onboard, implement, troubleshoot, and optimize the platform- across Linux, Kubernetes, IAM, and secure access workflows. Youll be the primary technical contact: diagnosing issues, guiding best practices, collaborating with Product/Engineering on escalations, and turning learnings into repeatable runbooks that keep deployments stable and effective.
Responsibilities:
Deliver a smooth onboarding experience and drive adoption/expansion for existing customers.
Proactively identify opportunities to drive customer success and product adoption through architectural guidance, hands-on enablement, and technical planning.
Investigate and resolve our cases (secret access, authentication, certificate workflows, remote access) while guiding secure configuration and best practices.
Reproduce issues in test environments (Linux, Docker, K8s) to isolate root causes.
Write KB articles to streamline troubleshooting and improve customer experience.
Learn customers business and challenges; log and communicate requirements; partner with Product & Engineering to escalate/validate fixes, contribute to team processes, internal tooling, and advocate for customers.
Act as a trusted advisor and support critical issues.

We are looking for a talented and highly driven G2M Engineer to join our fast-growing team.
What Youll do?
Design and deploy AI-driven GTM agents that monitor product, CRM, and intent signals and trigger next-best actions for Sales, Growth, and Partnerships
Build automated workflows that handle lead qualification, enrichment, scoring, routing, follow-ups, and handoffs without human intervention
Translate product usage and PLG signals into revenue plays (expansion, upsell, rescue, ABM, partner activation, churn risk)
Architect and maintain custom integrations and APIs across CRM, data platforms, enrichment tools, sales engagement, and internal systems
Prototype and productionize new GTM automations using scripts, low-code/no-code tools, and AI models
Partner with Product and Growth to turn in-app behavior into real-time GTM triggers
Continuously experiment with new AI tools and approaches to improve speed, quality, and scalability of revenue execution
Define and optimize productivity systems for AEs, BDRs, and Partner Managers (task automation, prioritization, sequencing, intelligence feeds)
Ensure GTM systems are reliable, observable, and designed for scale - not just short-term fixes
What Youll Build:
AI-powered workflows and agents that qualify, route, prioritize, and enrich leads and accounts in real time
Signal engines that translate product usage, intent data, and inbound activity into clear GTM plays
Automated GTM pipelines that connect PLG motion with assisted sales and partner motion
Smart routing and prioritization logic that maximizes AE and BDR productivity
Custom automations and integrations that eliminate manual work across the GTM stack.

We are seeking a highly skilled and motivated Back-End Software Developer to join one of our fast-growing, forward-thinking development teams.

What is the job:

Our Cloud team is responsible for developing and maintaining the core services that orchestrate, monitor, and analyze our attack mitigation and cloud cybersecurity solutions.

The application includes robust analytics, operational dashboards, and advanced forensics and reporting tools-providing deep visibility and control for our customers.

We are seeking an experienced SOC Validation team leader to lead the system validation team activities for our next-generation BMC (Baseboard Management Controller) SoCs, widely used in enterprise and data center servers. As an employee, you will join a multidisciplinary team developing and qualifying advanced Embedded solutions for application processors, security processors (Caliptra, TrustZone/OPTEE), and Embedded I/O processors. Our customers include Tier-1 enterprise server vendors and leading cloud service providers.
Responsibilities:
* Lead a team of experienced system and validation engineers, including hands-on involvement.
* Define and execute validation strategies for complex SOC products across pre- and post-silicon stages.
* Collaborate closely with HW, Embedded SW, Architecture, and Security teams to ensure full system coverage.
* Analyze product requirements and define comprehensive validation plans and methodologies.
* Develop and maintain validation environments, including TEST frameworks, automation, and infrastructure.
* Drive debug and root-cause analysis of system -level issues across HW/SW boundaries.
* Ensure high-quality validation coverage and sign-off aligned with product and customer requirements.
* Support pre-silicon activities (emulation, FPGA) and post-silicon bring-up and system validation.
* Drive continuous improvements in validation processes, tools, and productivity.
* Mentor and support team members in technical growth and execution excellence.
* Participate in recruitment and onboarding of new team members.

Join the B2B Group as a Staff Fullstack Software Engineer, developing the Bill-pay experience for Intuit!
In this role youll be part of an innovative team that creates the next generation of Intuits payment mechanism, helping small business to get paid faster.
If you love having stretch goals, real world challenges, and making customers incredibly happy whilst fostering your obsessive need for perfect code and user experience, this is the job for you.
You will collaborate with many teams in Intuit and contribute to many components in different Business Units.
We love engineers who lead the change, are not afraid of technical challenges, communicating with customers and delivering the most beautiful and intuitive applications.
Responsibilities:
Successful delivery of high-quality software (requirements, design, code, documentation, etc.)
Contribute to early quality activities, including peer reviews of estimates, designs and code.
Production support involved with monitoring systems and remediating issues
Partner effectively with all team members to deliver against commitments
Work cross-functionally with various Intuit teams
Commitment to team success and positive team dynamics
Strong leadership and communication skills, and ability to work well in a team
Collaborate with other engineers to share best practices and knowledge of emerging technologies
Occasionally engage with customers to get a first-hand understanding of their needs
Perform and participate in peer code reviews

Come join the team as a Staff Machine Learning Engineer.
We are seeking a highly skilled ML engineer passionate about building a world-class platform at a high scale, specifically focused on delivering AI capabilities.
You will be part of a vibrant team of AI Scientists and ML Engineers, helping to build the next generation of awesome products and experiences using cutting-edge Generative AI technology.
If you love having stretch goals, challenges, and making customers incredibly happy while fostering your obsessive need for perfect code and user experience, this is the job for you.
Responsibilities:
Design, implement, and enhance services at large scale, specifically focusing on improving Generative AI inference, quantization, optimization, finetuning, and evaluation.
Use your coding expertise to design and implement scalable, modular, and secure services.
Develop backend systems that support serving of LLMs and AI Agents at scale, utilizing the latest industry tools and techniques.
Work cross-functionally with product managers, AI scientists, business units, and other engineers to understand, implement, refine, and design Generative AI models.
ng end-to-end responsibilities including technical documentation and automation tests.
Interact with a variety of data sources, working closely with peers to refine features from the underlying data and build end-to-end pipelines.
Resolve defects and bugs during testing, production, and post-release patches, and participate in peer code reviews.
Explore the state-of-the-art technologies and apply them to deliver customer benefits.