Shape What's Next

Job Description:

At NeuBird, we’re building the future of real-time reactive IT operations with Generative AI. Our Agentic AI SRE is an autonomous AI Agent that detects, diagnoses, and resolves production incidents in real time. By combining decades of enterprise engineering experience with the latest in Large Language Models, we’re tackling one of the hardest problems in IT today.

As a  Backend Engineer, you’ll work at the intersection of AI and backend engineering, designing the foundational services and orchestration systems that make this vision possible. From mission-critical APIs to distributed orchestration, you’ll have high impact from day one—moving fast, solving cutting-edge challenges, and shaping the core architecture of a next-generation AI platform.

What You’ll Do

• Build and scale backend services that power AI-driven automation.
• Develop Python-based APIs and orchestration systems that integrate with AI models and agentic workflows.
• Optimize performance, reliability, and resilience across large-scale distributed systems.
• Collaborate with AI and product teams to embed intelligence into backend services.
• Help drive architectural decisions and engineering best practices in a fast-paced environment.

What We’re Looking For

• 2-6 years of strong backend experience building high-performance APIs and distributed systems.
• Solid programming skills in Python, Go (or similar languages).
• Knowledge of cloud platforms, SaaS, microservices, and Kubernetes.
• Proven ability to scale and optimize backend systems.
• Curiosity about emerging technologies, with a plus for AI/ML integration experience.

Why You’ll Love It Here

• Impact at Scale – Your work directly powers AI agents keeping mission-critical services online.
• Cutting-Edge Problems – Operate where backend engineering meets AI-driven orchestration.
• High Growth & Autonomy – Scale your role and influence as the company grows.
• Fast-Paced, Collaborative Team – Work with passionate builders who value speed, creativity, and impact.

To apply, email: careers@neubird.ai

 

Apply Here

Job Description:

As an AI engineer, you will be involved in model training, deployment, and maintenance. You will work with RLHF and fine-tuning of LLMs. This role requires a blend of analytical skills, creativity, and strong AI domain knowledge. This role is critical in delivering an enterprise experience with LLMs.

Responsibilities:

• Lead the development and customization of large-scale language models that drive the NeuBird platform.
• Implement and experiment with RLHF to enhance model performance and decision-making.
• Collaborate with cross-functional teams to integrate language models into various applications and platforms.
• Work on model fine-tuning, performance optimization, and continuous improvement.
• Stay up-to-date with the latest research and trends in language modeling and RLHF.
• Contribute to research projects and technical publications.
• Participate in code reviews and mentorship of junior engineers.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field.
• Experience with model training, deploying, and maintenance.
• Strong knowledge of reinforced feedback techniques and reinforcement learning.
• Proficiency in frameworks like PyTorch, TensorFlow, or similar.
• Familiarity with NLP, text generation, and language understanding.
• Strong problem-solving skills and a passion for addressing complex AI challenges.
• Excellent communication and collaboration abilities.
• Self-motivated and eager to stay at the forefront of AI advancements.

To apply, email: careers@neubird.ai

 

Apply Here

Job Description:

At NeuBird, we’re building the future of real-time reactive IT operations with Generative AI. Our Agentic AI SRE is an autonomous AI Agent that detects, diagnoses, and resolves production incidents in real time. To deliver this vision to customers, we need engineers who can build, test, and refine solutions, making sure every feature performs flawlessly in real-world environments.

As a Solution Engineer, you’ll work at the intersection of product, engineering, and customers—building solutions, validating new features, stress-testing systems, and running customer POCs. You’ll move fast, work across teams, and directly influence how customers experience our AI-driven platform.

What You’ll Do

• Build and deliver solutions for internal use and customer POCs, ensuring they meet real-world needs.
• Test and validate new features, integrations, and solutions before release.
• Run customer POCs and pilots, designing test plans that reflect real-world scenarios.
• Collaborate closely with backend, AI, and product teams to identify gaps and ensure seamless end-to-end performance.
• Create and maintain automation scripts and frameworks to streamline solution development and validation.
• Provide actionable feedback that shapes product direction and enhances customer outcomes.

What We’re Looking For

• Strong experience in solution building, testing, and validation.
• Familiarity with APIs, distributed systems, and cloud platforms (AWS/GCP/Azure).
• Hands-on with automation tools and scripting (Python preferred).
• Comfortable working directly with customers on POCs and pilots.
• Curiosity and adaptability to work where AI meets backend orchestration.

Why You’ll Love It Here

• Direct Customer Impact – The solutions you build and validate will power critical AI-driven operations for enterprises.
• Varied Challenges – Work on everything from backend APIs to AI-driven workflows in real-world scenarios.
• High Growth & Visibility – Influence product delivery, engineering decisions, and customer outcomes.
• Fast-Paced, Collaborative Team – Join a passionate group of builders who value speed, creativity, and impact.

To apply, email: careers@neubird.ai

Apply Here

Company Overview

We are a fast-growing startup revolutionizing the Observability and Site Reliability Engineering (SRE) space. Our platform empowers engineering teams to monitor, troubleshoot, and optimize complex systems with advanced logging, metrics, tracing, and AI-driven insights. We’re on a mission to make reliability effortless for modern cloud-native environments. As an early-stage company, we offer a dynamic, collaborative culture where your contributions directly impact our growth and success.

Job Title: Account Executive

Location: Remote (US-based preferred)

Department: Sales

Type: Full-Time 

Job Summary

We’re seeking a driven Account Executive to join our sales team and accelerate our revenue growth. In this role, you’ll be responsible for identifying, qualifying, and closing deals with mid-market and enterprise clients in the tech, e-commerce, fintech, and SaaS sectors. If you thrive in a startup environment, have a passion for technical sales, and excel at building relationships with DevOps, SRE, and engineering leaders, this is your opportunity to shape the future of observability.

Key Responsibilities

• Prospect and generate leads through outbound efforts, including cold calling, email campaigns, LinkedIn outreach, and networking at industry events (e.g., KubeCon, SREcon).
• Conduct discovery calls and product demos to showcase how our observability platform solves pain points like downtime reduction, faster incident resolution, and scalable monitoring.
• Build and manage a sales pipeline, from initial contact to contract negotiation and close, using CRM tools like Salesforce or HubSpot.
• Collaborate with marketing, product, and engineering teams to tailor pitches, handle objections, and incorporate customer feedback into our roadmap.
• Achieve and exceed quarterly sales quotas by focusing on value-based selling and ROI demonstrations.
• Stay current on industry trends in observability (e.g., OpenTelemetry, Prometheus, Grafana) and SRE best practices to position our solution effectively.
• Provide post-sale support to ensure smooth onboarding and identify upsell/cross-sell opportunities.
• Travel up to 20% for client meetings, conferences, and team offsites.

Required Qualifications:

• 3+ years of experience in B2B SaaS sales, preferably in DevOps, monitoring, APM (Application Performance Monitoring), or infrastructure tools.
• Proven track record of meeting or exceeding sales targets in a startup or high-growth environment.
• Strong understanding of technical concepts in cloud computing, Kubernetes, microservices, and SRE principles.
• Excellent communication and presentation skills, with the ability to explain complex solutions to both technical and non-technical stakeholders.
• Proficiency in sales tools (e.g., CRM, Gong, Outreach) and methodologies (e.g., MEDDIC, Challenger Sale).
• Bachelor’s degree in Business, Computer Science, or a related field (or equivalent experience).
• Self-motivated, resilient, and adaptable in a fast-paced, ambiguous startup setting.

Preferred Qualifications:

• Experience selling observability or SRE tools (e.g., Datadog, New Relic, Splunk, or similar).
• Existing network in the tech ecosystem, including relationships with engineering leaders.
• Familiarity with open-source communities or contributions to observability projects.
• Certification in sales (e.g., Sandler) or technical areas (e.g., AWS Certified DevOps Engineer).

Why You’ll Love It Here

• Direct Customer Impact – The solutions you will represent will power critical AI-driven operations for enterprises.
• Varied Challenges – help bring AI-driven solutions into real-world scenarios.
• High Growth & Visibility – Influence GT  and customer outcomes.
• Fast-Paced, Collaborative Team – Join a passionate group of sellers who value speed, creativity, and impact.

To apply, email: careers@neubird.ai

Company Overview

We are a fast-growing startup revolutionizing the Observability and Site Reliability Engineering (SRE) space. Our platform empowers engineering teams to monitor, troubleshoot, and optimize complex systems with advanced logging, metrics, tracing, and AI-driven insights. We’re on a mission to make reliability effortless for modern cloud-native environments. As an early-stage company, we offer a dynamic, collaborative culture where your contributions directly impact our growth and success.

Job Title: Inside Sales Representative (Commercial Accounts)

Location: Remote (US-based preferred)

Department: Sales

Type: Full-Time Job Summary

We’re seeking a motivated Inside Sales Representative to drive revenue by selling our observability platform to commercial accounts (mid-market and SMB organizations). This role focuses on full-cycle inside sales, from lead qualification to closing deals via phone, email, and virtual meetings. If you have a knack for technical conversations with DevOps and SRE teams, enjoy high-velocity sales, and thrive in a startup setting, you’ll play a key role in expanding our customer base in sectors like tech startups, e-commerce, and SaaS.

Key Responsibilities

• Manage inbound leads and conduct outbound prospecting to target commercial accounts, using tools like LinkedIn, email sequences, and phone calls.
• Qualify prospects based on ICP fit, uncovering pain points in monitoring, incident response, and system reliability.
• Deliver virtual product demos and presentations tailored to commercial needs, emphasizing quick ROI and ease of implementation.
• Negotiate and close deals with shorter sales cycles, focusing on value-based pricing for mid-market clients.
• Build and maintain a healthy pipeline in CRM (e.g., Salesforce or HubSpot), tracking metrics like conversion rates and deal velocity.
• Collaborate with SDRs, marketing, and product teams to refine messaging, handle objections, and gather feedback for platform improvements.
• Achieve quarterly quotas for closed-won revenue, bookings, and customer acquisition in the commercial segment.
• Stay updated on observability trends (e.g., Prometheus, ELK Stack) and SRE practices to position our solution competitively.
• Provide initial post-sale support to ensure successful onboarding and identify expansion opportunities.

Required Qualifications

• 2+ years of experience in inside sales or B2B SaaS sales, ideally in DevOps, monitoring, or infrastructure tools.
• Proven success in closing deals with commercial/mid-market accounts and meeting revenue targets.
• Solid understanding of technical concepts like cloud infrastructure, Kubernetes, and observability fundamentals.
• Strong virtual communication skills, with expertise in phone/email outreach and tools like Zoom for demos.
• Proficiency in sales tech stack (e.g., CRM, Gong, Outreach) and methodologies (e.g., SPIN Selling or Solution Selling).
• Bachelor’s degree in Business, Marketing, or a related field (or equivalent experience).
• Results-oriented mindset with the ability to multitask in a fast-paced, remote startup environment.

Preferred Qualifications

• Experience selling observability or SRE solutions (e.g., similar to Datadog, Splunk, or Honeycomb).
• Track record in high-velocity sales environments with a focus on SMB/commercial segments.
• Familiarity with open-source tools or communities in the observability ecosystem.
• Sales certification (e.g., from LinkedIn Learning or similar).

Why You’ll Love It Here

• Direct Customer Impact – The solutions you will represent will power critical AI-driven operations for enterprises.
• Varied Challenges – help bring AI-driven solutions into real-world scenarios.
• High Growth & Visibility – Influence GT  and customer outcomes.
• Fast-Paced, Collaborative Team – Join a passionate group of sellers who value speed, creativity, and impact

To apply, email: careers@neubird.ai