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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.

We are looking for a passionate and skilled Senior DevOps Engineer to join our team. The ideal candidate is a proactive problem-solver with extensive experience in architecting and maintaining high-scale, production grade SaaS environments across multiple cloud providers.
As a Senior DevOps Engineer, you will be part of a high-performing team, leading the company infrastructure. You will work in a dynamic and agile environment with the most cutting edge technologies.
Responsibilities:
Design and plan large-scale, multi-cloud (GCP, AWS, Azure) production architectures, ensuring compliance with strict SLAs.
Automate infrastructure provisioning using tools like Terraform/Terragrunt, and leveraging GitOps methodologies.
Implement and maintain CI/CD pipelines to support multiple development teams.
Establish best practices for observability, logging, and alerting using technologies such as Datadog, Coralogix, OpenTelemetry, and Prometheus/Grafana.
Drive continuous improvement in system reliability, scalability, and cost efficiency across all environments.
Manage and operate message brokers (RabbitMQ), databases (MySQL, Redis), at scale.
Mentor engineers, fostering a strong DevOps culture and establishing standard practices within the organization.

We're looking for a talented Backend Engineer to take a significant role in the development of a highly robust, multi-cloud, multi-region SaaS platform.
As a Backend Engineer, you will be part of a small and high-performing team, developing a SaaS platform that provides technical solutions for DevOps.
This role includes working in a multi-cloud environment (AWS, GCP, Azure), developing microservice architecture with Golang. You will work in a dynamic and agile environment with the most cutting edge technologies.

We are seeking a skilled and motivated Automation Infrastructure Engineer to join our group. In this role, you will play a crucial part in ensuring the reliability and performance of our products through comprehensive automated testing and taking full responsibility for regression cycles. You will work with a variety of operating systems and projects in complex environments
Responsibilities:
Lead the design and development of robust automation infrastructure using Playwright.
Complex Configuration Management: Gain a deep understanding of complex customer configurations to tailor and optimize automated test environments.
Multi-OS Environment: Manage and execute tests across multiple operating systems, (including Linux, Windows, etc).
Continuously improve and enhance the quality process, methodologies, and tools to increase efficiency, effectiveness, and test coverage.

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 Technical Customer Success Manager (TCSM) to own the post-sales customer journey for a portfolio of enterprise accounts. This role is a strong fit for candidates with experience as a Technical Account Manager (TAM), Customer Success Manager, Solutions Engineer, or Professional Services Consultant, but is specifically designed around proactive customer program ownership, adoption leadership, and long-term customer success.
You will lead onboarding, adoption, value realization, and ongoing customer success by driving execution across customer stakeholders and internal teams. This is a highly proactive role focused on customer program leadership: running meetings, tracking action items, aligning stakeholders, removing blockers, and ensuring customers continue moving toward successful deployment and long-term adoption. You should be technically credible enough to lead conversations around cloud, Kubernetes, IAM, and modern infrastructure workflows - while partnering closely with Customer Success Engineers (CSEs), who lead deep technical implementation, troubleshooting, and architecture guidance.
Responsibilities:
Own the post-sales customer journey for a portfolio of enterprise customers, from onboarding through adoption, value realization, and renewal readiness.
Lead onboarding and adoption programs by defining success plans, milestones, meeting cadence, stakeholders, and next steps.
Drive customer momentum through disciplined follow-up, clear meeting summaries, action tracking, and proactive stakeholder management.
Act as the primary post-sales point of contact and trusted advisor for both technical and business stakeholders.
Proactively identify risks to adoption, deployment progress, or account health, and drive mitigation plans to keep customers on track.
Partner closely with CSEs on technical onboarding and implementation workstreams, while owning the overall coordination and customer experience.
Help customers translate our capabilities into practical rollout plans, internal alignment, and measurable business value.
Monitor product adoption, customer engagement, and success milestones to identify expansion opportunities and support retention.
Partner with Sales on renewals, upsell, and cross-sell opportunities by surfacing needs, value drivers, and growth potential.
Lead regular customer check-ins, success reviews, and strategic business reviews.
Learn customers business goals and challenges; communicate feedback internally and advocate for improvements across Product, Engineering, and customer-facing teams.

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, data-driven, and highly motivated Revenue Operations (RevOps) Manager to join our fast-growing team. In this role, your mission is to literally "connect the dots" across our core revenue engine. You will be the strategic engine behind our Marketing, Sales Development, and Account Executive teams-aligning data, software, and workflows to maximize pipeline conversion and accelerate revenue growth.
The ideal candidate is a forward-thinking problem solver who loves digging into complex funnel data, optimizing Salesforce architecture, and leveraging AI and automation to ruthlessly eliminate administrative friction and skyrocket sales productivity in a global hyper-growth startup environment.
Key Responsibilities:
Funnel Optimization & Alignment: Map, design, and optimize the end-to-end revenue funnel from initial marketing touchpoints and SDR outreach to final AE signature, ensuring friction-free handoffs.
AI & Workflow Automation: Identify, implement, and manage cutting-edge AI tools and automated workflows across the revenue org to minimize manual data entry, optimize lead scoring, and drastically improve reps' daily selling productivity.
Salesforce & Tech Stack Architecture: Act as the primary architect and administrator for our revenue tech stack (Salesforce.com and integrated GTM tools), ensuring strict data hygiene, custom tooling creation, and seamless lead-to-opportunity routing.
Revenue Analytics & Forecasting: Own the revenue data. Build and maintain robust real-time dashboards to provide leadership with actionable insights into lead conversion rates, pipeline velocity, win/loss metrics, and accurate sales forecasting.
Deal Desk & Commercial Support: Streamline the contract and quoting lifecycle by managing the deal desk, supporting complex deal structuring, and ensuring pricing guardrails are met to accelerate time-to-close.
Sales Enablement Automation: Partner with team leads to ensure newly automated processes, AI playbooks, and revenue systems are seamlessly adopted by the team, ensuring quick time-to-value.

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.