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We're looking for a full-cycle SDR to drive growth across our product suite. You'll own the entire sales motion - from the first cold call to close - as you upsell and cross-sell the Convert plan and Reviewers.com to Shopify merchants.

This isn't a traditional lead-gen SDR role. You'll be the direct link between our merchants and our Product and Marketing teams, turning every call into an opportunity - whether that's a merchant upgrading their plan, one who churned telling us why, or a new merchant discovering Reviewers.com for the first time.

As a Full Cycle SDR, you will:
Cold call Shopify merchants to upsell and cross-sell the Convert plan and Reviewers.com.
Call merchants who uninstalled the app or haven't yet selected a plan to understand why and gather feedback.
Run demo calls for Reviewers.com, showcasing its value to prospective merchants and helping them create their first campaign.
Synthesize merchant feedback and share clear, actionable insights with our Product and Marketing teams.
Analyze call and pipeline data to identify trends, spot opportunities, and continuously improve conversion.
Run the day-to-day operations of the sales effort, including pipeline management, tracking, and reporting.

We're building a new orchestration platform for AI datacenters-software that turns a complex, multi-vendor stack of compute, networking, and accelerators into something customers can deploy, operate, and optimize with confidence.
You'll join a small, growing engineering team where every engineer ships. In this hands-on development role, you'll build backend services, contribute to system design, and own features from implementation through production, working closely with experienced engineers.
If you enjoy solving challenging engineering problems, building new products, and seeing your work run at scale in real AI datacenters, this role is for you.
What You'll Do
- Build and maintain core services and features for an orchestration platform spanning compute, networking, and accelerators.
- Translate customer requirements into APIs, workflows, and data models in collaboration with the team.
- Deliver features end-to-end, from prototyping and implementation to testing, deployment, and production support.
- Write reliable, maintainable code and contribute to shared libraries, automated tests, and CI/CD pipelines.
- Contribute to design discussions and make practical implementation tradeoffs around performance, reliability, and simplicity.
- Participate in code reviews, share knowledge, and help improve engineering practices.
- Troubleshoot issues and improve service performance, observability, and operational readiness.

We are seeking an exceptional and highly experienced Senior System Engineer to join our elite HW R&D team. This role is suited for a seasoned professional (15+ years of experience) in the networking and telecommunications industry, with a proven track record in multi-platform system architecture, hardware/software integration, and deep protocol-level understanding. The ideal candidate will lead and define end-to-end system behavior across multiple layers, ensuring alignment between hardware platforms and software stacks.
You will work closely with internal and external stakeholders to define detailed system specifications, drive platform validation, and ensure our solutions are reliable, efficient, and meet the demanding requirements of service providers.
Key Responsibilities
System Architecture & Design
Own the end-to-end system architecture across various company platforms (routing, switching, timing, and synchronization platforms).
Define and maintain system-level functional specifications and engineering requirements documents (ERDs), covering HW-SW interfaces, thermal, mechanical, power, and performance constraints.
Evaluate and drive platform-level trade-offs (e.g., performance vs. power, scalability vs. complexity).
Collaborate with hardware design, software architecture, thermal, and mechanical teams to ensure cohesive system integration.
CPU selection, boot methodologies, FW upgrades, IC programming, etc.
Technical Leadership
Act as the technical authority on system behavior, network feature interaction, and platform compatibility across various ASIC vendors.
Drive design reviews, providing critical input on system-level implications and interactions.
Detailed Specifications & Documentation
Develop comprehensive and structured documentation: platform requirement specs, interface control documents (ICDs), test coverage matrices, thermal analysis reports, power budgets, and system bring-up guides.
Create and maintain clear, accurate, and implementation-ready specifications to be used by hardware, software, validation, and operations teams.
Thermal, Power & Mechanical Integration
Analyze and approve cooling methods and thermal design requirements (airflow, heat sinks, thermal interface materials, etc.).
Analyze power distribution planning, and integration with PSU/voltage regulator designs.
Work closely with mechanical engineering.

We are looking for a highly technical, hands-on System Architect to lead the architecture and evolution of our company Automation Platform (DAP), with focus on:
Infrastructure automation Service lifecycle orchestration Multi-tenant operations Intent-based networking Closed-loop assurance Cloud-native OSS transformation This role is ideal for architects passionate about scalable automation systems, distributed cloud-native platforms, and carrier-grade operational workflows.
The Role As a DAP Infrastructure & Services Automation Architect, you will define and drive the architecture for automation frameworks enabling lifecycle management of our company Network Cloud deployments at hyperscale.
You will bridge: Network infrastructure NOS internals Kubernetes-native microservices OSS/BSS integration Telemetry and analytics CI/CD operational models AI-assisted operational automation You will work closely with: DAP engineering Infrastructure teams NOS platform groups DevOps/SRE Product management Tier-1 service provider customers.

You'll join our System Architecture group and own end-to-end design of a hyper-scale router Software - DNOS. From customer requirements through deployment. Expect deep cross-functional collaboration, hands-on spec leadership, and direct customer engagement at the architecture level including leveraging AI tools to produce high-quality specifications.
You will:
Define system requirements and lead architectural design across routing and data path
Drive spec reviews and guide engineers through design decisions
Establish design standards that improve resilience, security, and efficiency at scale.

We are looking for a curious, hands-on, and collaborative QA Automation Engineer who enjoys solving complex problems, learning new technologies, and taking ownership of product quality.

In this role, youll work primarily on test automation, QA infrastructure, and continuous quality validation, while collaborating closely with developers and QA engineers throughout the development lifecycle.

Youll work with modern engineering and AI-powered tools, with Cursor as a key part of our daily workflow, and contribute to the ongoing development and maintenance of our QA Cloud Agent.

What youll do
Own the quality of the product areas you cover, from test strategy and planning through release sign-off.
Create test plans for new features, defining scope, risks, test coverage, integration coverage, automation coverage, and exit criteria.
Design, build, and maintain automated tests using Java for API automation and Playwright for UI automation.
Build and maintain QA infrastructure, test environments, and automation frameworks.
Work on the ongoing development and maintenance of our QA Cloud Agent.
Validate and maintain automated test suites running in Jenkins, including nightly, smoke, sanity, development, and patch suites.
Investigate test failures and determine whether the root cause is a product defect, automation issue, or environment problem.
Troubleshoot issues using logs and tools across Linux, SSH, and networking environments.
Execute end-to-end and upgrade testing when required.
Collaborate closely with developers, QA engineers, and team leads to define quality expectations and resolve issues.
Use AI tools to improve test development, troubleshooting, automation, and day-to-day engineering workflows.

We're building a new orchestration platform for AI datacenters-software that turns a complex, multi-vendor stack of compute, networking, and accelerators into something customers can deploy, operate, and optimize with confidence.
You'll join a small, growing engineering team where every engineer ships. In this hands-on development role, you'll build backend services, contribute to system design, and own features from implementation through production, working closely with experienced engineers.
If you enjoy solving challenging engineering problems, building new products, and seeing your work run at scale in real AI datacenters, this role is for you.
What You'll Do
- Build and maintain core services and features for an orchestration platform spanning compute, networking, and accelerators.
- Translate customer requirements into APIs, workflows, and data models in collaboration with the team.
- Deliver features end-to-end, from prototyping and implementation to testing, deployment, and production support.
- Write reliable, maintainable code and contribute to shared libraries, automated tests, and CI/CD pipelines.
- Contribute to design discussions and make practical implementation tradeoffs around performance, reliability, and simplicity.
- Participate in code reviews, share knowledge, and help improve engineering practices.
- Troubleshoot issues and improve service performance, observability, and operational readiness.

The Power Design team is responsible for driving power efficiency throughout the chip design lifecycle, from early architecture and RTL through physical implementation and final signoff.
The team develops and owns the methodologies, tools, and flows used to estimate, analyze, track, and optimize chip power. We work closely with architecture, RTL, verification, and physical design teams to identify power challenges early, understand their root causes, and drive effective solutions while balancing power, performance, and area (PPA).
Our work includes developing power models and estimation capabilities, analyzing power at different stages of the design flow, identifying optimization opportunities, and driving improvements at both the RTL and physical design levels. The team also explores new automation and AI-based methodologies to make power analysis faster, more accurate, and more actionable.
As the chips power center of expertise, the team provides technical guidance, establishes best practices, tracks power targets, and drives power-related activities across the broader chip design organization.
What You Can Expect

Ramp up on chip power estimation methodologies, tools, and power calculators.

Perform power analysis and identify optimization opportunities throughout the chip design lifecycle.

Explore and implement power optimizations at both the RTL and physical design levels.

Develop automation and improve existing power analysis and estimation flows.

Explore the use of AI tools for power analysis, optimization, and design-flow automation.

Analyze power trends and identify high-impact areas for improvement.

Collaborate with RTL, physical design, architecture, and power teams to drive power-related activities.

Gradually become a power focal point within the chip design team, building expertise and ownership of power methodologies, analysis, and optimization.

Job responsibilities
What will you do?
As a Backend Engineer on the team you will
Develop our product and its unique features, working closely with our Product team.
Own the development cycle end-to-end: product grooming, technical design, implementation, vibe-engineering and testing, deployment, and monitoring.
Operate in a true continuous delivery environment with fully automated QA processes, deploying to production dozens of times every day.

Job responsibilities
Design, build, and maintain backend infrastructure and microservices supporting AI-driven features.
Collaborate closely with the infra and data groups to ensure smooth integration of AI models and services into Bobs core systems.
Develop and optimize APIs, data pipelines, and background processing workflows.
Ensure performance, scalability, and resilience of production systems handling real-time AI interactions.
Drive engineering excellence through code reviews, architecture discussions, and automation.
Mentor other backend developers and promote best practices in software design, testing, and deployment.

The AI Group is building the foundation for AI across our company.
We develop the AI infrastructure that powers the AI experience throughout the product. We ensure the production AI platform is stable, reliable and secure.
Our mission is not only to build AI-powered features, but to enable every product team at our company to build reliable, scalable, and high-quality AI experiences.
We work with modern LLM technologies, agentic workflows, MCP, retrieval systems, evaluation pipelines, distributed systems, and production-grade AI infrastructure, deploying to production multiple times a day.
Job responsibilities
What You'll Do
As a Tech Lead, you'll play a key role in shaping the future of AI at our company.
You'll combine deep technical expertise with strategic thinking, helping multiple teams build production-ready AI experiences while driving engineering excellence across the organization.
In this role you will:
Lead the technical direction of one of our company's AI domains.
Design scalable AI architectures and production-ready agentic systems.
Drive technical decisions around LLMs, Retrieval, Tool Calling, MCP, evaluation frameworks, and AI infrastructure.
Own complex cross-team initiatives from design through production.
Collaborate closely with Product, Data, Infrastructure, and Engineering teams to turn AI opportunities into customer value.
Help define engineering standards and best practices for building reliable AI systems.
Drive engineering excellence through architecture reviews, mentoring, and technical leadership.
Balance rapid experimentation with production-grade quality and scalability.
Evaluate emerging AI technologies and identify opportunities to improve our platform and customer experience.

As an Engineering Team Lead in R&D, you will lead a team of backend and frontend engineers building our companys product.
You will combine technical leadership, people management, and close partnership with Product and Design to deliver meaningful customer value. Your team will own the full development lifecycle, from shaping solutions and technical design through implementation, testing, deployment, and production monitoring.
Job responsibilities
Lead and develop the team - Coach and grow engineers through regular feedback, clear expectations, and meaningful ownership. Support hiring and onboarding, address performance gaps early, and build a collaborative team environment.
Shape product solutions - Partner closely with Product and Design to understand customer needs, challenge assumptions, and shape solutions. Make scope and technical trade-offs explicit to support sound prioritization.
Own delivery from end to end - Turn priorities into clear execution plans and achievable milestones. Manage dependencies, communicate progress and risks proactively, and adapt plans as new information emerges.
Provide technical leadership - Guide architecture, design, and code quality. Stay close to implementation and contribute hands-on where it creates the most value, while empowering engineers to lead.
Own production quality - Build reliability, observability, security, and performance into the development lifecycle. Ensure clear ownership of monitoring, incidents, and follow-up improvements that address root causes.
Collaborate across teams - Work with other Talent Unit teams, Architects, and platform partners to align on shared capabilities, resolve dependencies, and deliver coherent solutions.
Continuously improve how the team works - Simplify processes and solutions, encourage experimentation, and use AI-assisted development thoughtfully to improve effectiveness while maintaining engineering accountability.
Lead through change - Help the team understand priorities and their purpose, create clarity during uncertainty, and maintain trust, focus, and sustainable ways of working.

we are building a scalable data platform that powers our product, analytics, and AI capabilities. Were looking for an Architect to shape the technical direction of the Data Platform group - helping teams make high-quality architectural decisions faster and turning complex, cross-cutting challenges into clear, pragmatic paths forward.
Reporting to the Data Platform Group Director and working alongside Team Leads, youll be the groups senior individual-contributor architect. You will guide architecture across our Data Infrastructure, Data Engine, and Data Framework teams, with particular emphasis on data-intensive application architecture.
Youll stay close to technical design, delivery, and production - not only to define direction, but to ensure it works in practice.
What youll do
Set and evolve the architectural direction for the Data Platform group, balancing long-term platform strategy with pragmatic, executable decisions.
Lead cross-team design reviews and drive alignment on significant technical decisions, including the trade-offs behind them.
Create clear design documents, reference architectures, standards, and reusable patterns that enable teams to make high-quality decisions independently.
Partner with engineers and Team Leads through critical stages of delivery to preserve architectural intent, resolve emerging trade-offs, and ensure designs work in production.
Guide the evolution of data-intensive applications and platform capabilities across data access, query and application frameworks, streaming, storage, reliability, scalability, and security.
Drive incremental modernization of existing systems - including migrations, simplification, and architectural improvements - without compromising customer reliability or delivery momentum.
Build foundations that enable product teams to access and operate on data safely and efficiently, including permission-aware access to sensitive HR data.
Ensure the platform is ready for trusted analytics and AI use cases through robust data contracts, governance, observability, lineage, and secure access patterns.
Identify systemic technical risks, architectural gaps, and recurring friction - and turn them into durable capabilities rather than one-off solutions.
Mentor engineers and raise the bar for technical thinking, system design, and execution across the group.

We are looking for a Senior AI Ops Engineer to join our AIOps team and help build the AI-powered platforms, agents, and workflows that enable engineering teams across our company.
This is a hands-on role for someone who can take AI solutions from idea to production, build the infrastructure around them, and create the observability needed to understand and improve how they behave in the real world.
Job responsibilities
Build and operate production-grade AI agents, AI-enabled tools, and workflows that empower developers and operational teams.
Design agentic systems using frameworks such as LangGraph, LangChain, and Supervisor, including RAG, MCP integrations, tool calling, and guardrails.
Build and evolve an AI SDLC harness that helps teams plan, implement, validate, govern, and safely deliver AI-assisted software changes.
Lead AI observability with Langfuse and OpenTelemetry, including tracing, evaluations, quality measurement, and cost analysis.
Build automated evaluation frameworks, including LLM-as-a-judge, to improve the reliability and quality of AI systems.
Design and maintain the infrastructure, CI/CD pipelines, GitOps workflows, and security controls that support AI services.
Develop internal developer tooling and automation that removes friction across the engineering organization.
Partner with engineering and product teams to turn real operational challenges into scalable AI-powered solutions.