Account Executive

AnoSys is an AI observability company building the monitoring and analytics platform for the agentic AI era. Our platform gives engineering teams end-to-end visibility into AI agents, LLM pipelines, and ML-powered applications — from user interaction through model inference to downstream business outcomes. We help organizations detect silent regressions, trace non-deterministic behavior, and turn massive telemetry streams into actionable insights, all in real time. Backed by leading investors and built by a team of infrastructure and AI veterans, AnoSys is defining the category of AI-native observability. Who We're Looking For We look for intellectually curious individuals who combine critical thinking with meticulous attention to detail — people who can identify problems early, reason through ambiguity, and solve challenges independently . If you thrive in fast-paced, high-ownership environments — where your work directly shapes a category-defining product — we'd love to hear from you. About the Role Every company deploying AI in production needs observability — but most don't know it yet. As an Account Executive at AnoSys, you will be responsible for identifying, educating, and closing customers who are building with LLMs, AI agents, and machine learning pipelines and need production-grade visibility into how their systems are performing. You will own the full sales cycle from initial outreach through close, selling primarily into engineering leadership, platform and infrastructure teams, and ML engineering organizations at mid-market and enterprise companies. This is a consultative, technical sale — you'll need to understand customer architectures, articulate a compelling value proposition rooted in their specific production challenges, and navigate complex buying processes that often involve both technical evaluators and business stakeholders. As one of the first go-to-market hires, you will have outsized influence on how AnoSys approaches the market. You will help define our ideal customer profile, refine messaging and positioning, build repeatable sales playbooks, and provide the field intelligence that shapes our product roadmap. This is a role for builders — people who want to create something from scratch, not inherit a playbook. What You'll Do Own and manage the full sales cycle for mid-market and enterprise accounts — from outbound prospecting and pipeline generation through discovery, demo, proof-of-concept, negotiation, and close Develop and execute territory plans to identify high-potential accounts across industries adopting AI at scale — including technology, financial services, healthcare, and e-commerce Conduct discovery calls and consultative needs assessments that uncover specific observability gaps in customers' AI/ML infrastructure and map them to AnoSys capabilities Deliver executive-level presentations, business cases, and ROI analyses that articulate the strategic value of AI observability to both technical and non-technical stakeholders Collaborate closely with Solutions Engineering to design and deliver tailored demonstrations, proof-of-concept engagements, and technical evaluations Build and maintain accurate pipeline forecasts using CRM tools, providing visibility into deal progression, risk factors, and revenue projections Provide structured market intelligence and customer feedback to Product, Marketing, and Leadership — helping shape go-to-market strategy, competitive positioning, and feature prioritization Represent AnoSys at industry events, conferences, and meetups, building relationships with key decision-makers in the AI/ML ecosystem What We're Looking For 3+ years of B2B SaaS sales experience with a demonstrable track record of meeting or exceeding quota — preferably selling infrastructure, DevOps, observability, or developer tools to technical buyers Experience navigating complex, multi-stakeholder sales cycles that involve both technical evaluations (POCs, benchmarks, security reviews) and business justification (ROI, executive buy-in) Strong technical fluency — you can comfortably discuss APIs, cloud infrastructure, distributed systems architecture, and AI/ML workflows with engineering leaders without relying on a sales engineer for every interaction Proven ability to prospect and build pipeline independently — through outbound outreach, account-based campaigns, network leveraging, and event-driven lead generation Experience selling into engineering, platform, DevOps, or ML infrastructure teams at both growth-stage and enterprise organizations Self-starting, entrepreneurial mentality with the intellectual curiosity to rapidly learn a deeply technical product and a fast-evolving market landscape Excellent written and verbal communication skills, including the ability to craft compelling outreach, write persuasive business cases, and present confidently to senior leadership Nice to Have Direct sales experience at an observability or monitoring company (e.g., Datadog, New Relic, Splunk, Dynatrace, Grafana Labs, Honeycomb) Familiarity with the AI/ML tooling landscape — including model serving, LLM orchestration frameworks, and evaluation platforms Experience as an early sales hire at a Series A–B startup where you helped build playbooks and processes from scratch Existing relationships with VP Engineering, CTO, or Head of Platform roles at companies deploying AI in production #J-18808-Ljbffr