Full-Time

Strategic Account Executive

Central

Updated on 8/20/2026

Solo.io

Solo.io

201-500 employees

Cloud-native API management and service mesh

No salary listed

United States

Hybrid

Travel within the region, up to 20%, is required.

Category
Sales & Account Management (1)
Required Skills
Service Mesh
Kubernetes
Public Speaking
Marketing
DevOps

Get referred to Solo.io

See people who can refer or advise you

Requirements
  • Expertise in enterprise software sales with cloud technologies; experience or strong familiarity with the artificial intelligence infrastructure market is a significant plus.
  • At least 7 years of experience selling to DevOps, platform engineering, or artificial intelligence and machine learning personas at the enterprise level.
  • A proven, consistent track record of exceeding quota and plan targets.
  • Strong written and verbal communication skills, including the ability to translate complex cloud-native and artificial intelligence infrastructure concepts for technical and executive audiences.
  • Familiarity with the Kubernetes ecosystem, open-source go-to-market motions, and Cloud Native Computing Foundation project dynamics.
  • Willingness to travel up to 20% as needed.
Responsibilities
  • Own business growth and market expansion for a geographic region across the cloud-native connectivity suite and the agentic infrastructure suite.
  • Develop collaborative relationships with customers, solution engineering, sales development representatives, engineering, marketing, and legal teams.
  • Coordinate and manage prospect activities, including proofs of concept, demonstrations, trials, and architecture reviews.
  • Implement systems and tactics that have a wider impact on the team.
  • Command the technical domain of service mesh, cloud infrastructure, artificial intelligence agent infrastructure, security, and adjacent markets.
  • Establish and implement a consistent, repeatable process, and mentor peers in the process.
  • Stay current with additions to company products and related technologies, including emerging artificial intelligence protocols such as Model Context Protocol and Agent-to-Agent, and converse and write about them fluently.
  • Partner with Solutions Engineering to promote company products and related technology through speaking engagements and content promotion.
  • Identify and engage platform engineering, artificial intelligence and machine learning, and DevOps personas addressing the challenge of bringing agentic artificial intelligence to production in regulated, large-scale environments.
Desired Qualifications
  • Experience or strong familiarity with the artificial intelligence infrastructure market.

Solo.io builds cloud-native network tooling for API management and service mesh. Its products include Gloo Gateway, a Kubernetes-native gateway that routes API traffic and enforces security; Gloo Mesh, a service mesh that provides lifecycle management and telemetry using Istio and Cilium; and the Spotlight Developer Platform, a secure internal platform with multi-cluster support and plugins. The company monetizes through subscriptions, consulting, and partnerships with technology and cloud providers, including resellers. Its goal is to help organizations accelerate digital transformation by making API management and cloud-native networking easier, safer, and observable across multi-cluster environments.

Company Size

201-500

Company Stage

Series C

Total Funding

$171.5M

Headquarters

Cambridge, Massachusetts

Founded

2017

Get referred to Solo.io

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • Solo.io launched agentevals in March 2026, addressing production reliability for agentic AI.
  • CNCF contribution of agentregistry in 2026 expands distribution and developer trust.
  • Solo.io is hiring Senior AI Software Engineer and multiple sales roles in August 2026.

What critics are saying

  • Kong, F5, AWS, Google, and Red Hat squeeze gateway and mesh pricing.
  • Open-source releases like kgateway and agentregistry commoditize Solo.io’s moat within 12-24 months.
  • If agentic AI adoption stalls, Solo.io’s 2026 pivot leaves Gloo exposure under pressure.

What makes Solo.io unique

  • Solo.io bundles Gloo, kgateway, kagent, agentregistry, and agentevals into one stack.
  • KubeCon Europe 2026 positioned Solo.io as the governance layer for agentic infrastructure.
  • Its Istio, Envoy, Cilium, Kubernetes, and OpenTelemetry roots stay deeply infrastructure-native.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Remote Work Options

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
The New Stack
Mar 28th, 2026
Solo.io launches agentevals to solve agentic AI's "biggest unsolved problem"

Solo.io launches agentevals to solve agentic AI's "biggest unsolved problem" Solo.io launches agentevals, an open-source framework for evaluating agentic AI systems, announced at KubeCon Europe alongside a CNCF agent registry donation. So many agents, so little time to evaluate them. Solo.io's new projects can help. Agentic AI has blown up. These tools have become hotter than hot. But, there's this little problem. How do you evaluate them? Solo.io, best known for its cloud-native networking and API gateway platform, Gloo, has launched a new open-source initiative called agentevals. It's designed to help developers evaluate and benchmark "agentic AI" systems. Solo.io announced the project at KubeCon Europe in Amsterdam. According to Solo.io founder and CEO Idit Levine, autonomous AI systems pose new challenges for cloud operations. "Enterprises are experimenting with AI copilots and infrastructure agents, but they lack visibility into how these systems behave when given open-ended goals. gentBench helps teams understand not only what the models can do, but where their reasoning breaks down," Levine tells The New Stack. Levine continues, "Evaluation is the biggest unsolved problem in agentic infrastructure today. Organizations have frameworks for building agents, gateways for connecting them, and registries for governing them, but no consistent way to know whether an agent is actually reliable enough to trust in production." Aye, there's the rub. Agentevals provides a framework for testing the effectiveness of AI agents in real-world workflows, such as infrastructure automation, API orchestration, and service management. The goal is to give enterprise teams a standardized way to measure the reliability, latency, and success rates of autonomous agents before deploying them in production. "Evaluation is the biggest unsolved problem in agentic infrastructure today. Organizations have frameworks for building agents, gateways for connecting them, and registries for governing them, but no consistent way to know whether an agent is actually reliable enough to trust in production." The framework integrates with Solo.io's Gloo Platform and Envoy Proxy. This enables you to simulate multi-step tasks, such as configuring microservices, updating routing policies, or troubleshooting Kubernetes clusters under controlled conditions. Each run generates reproducible logs, metrics, and outcome data that can be used to compare different AI backends or agent architectures. The company claims that agentevals is the first benchmark designed to evaluate LLM-as-Agent across a diverse spectrum of different environments. To do this, the program relies on OpenTelemetry. "Whether you're using commercial APIs or open LLMs like Llama 3, you need transparent metrics for decision-making... We want agentevals to become a common reference point for the AI operations community." In addition, Solo says the open-source project is part of a broader effort to make AI-driven operations auditable and trustworthy. Levine says, "Whether you're using commercial APIs or open LLMs like Llama 3, you need transparent metrics for decision-making." We want agentevals to become a common reference point for the AI operations community." Agentevals is available on GitHub under the Apache 2.0 license. Solo.io plans to collaborate with other cloud-native vendors and AI research groups to expand the test library and integrate with common ML evaluation tools. In addition, Solo.io donated its agentregistry an AI-native open source registry for AI agents, MCP tools, and Agent Skills to the Cloud Native Computing Foundation (CNCF). This program enables you to standardize how AI capabilities are catalogued, discovered, and governed across the enterprise. As everyone and their uncle swiftly moves to Agentic computing, I expect both programs will find many fans.

Techstrong Group, Inc.
Mar 25th, 2026
Solo.io launches agentevals open source project, contributes agentregistry to CNCF.

Solo.io launches agentevals open source project, contributes agentregistry to CNCF. AMSTERDAM - Solo.io announced the launch of agentevals, a new open source project for evaluating and benchmarking agentic AI behavior, and the contribution of its agentregistry project to the Cloud Native Computing Foundation at KubeCon + CloudNativeCon Europe 2026. The company said the two initiatives address gaps in production reliability and governance for agentic AI workloads. Solo.io said agentevals uses OpenTelemetry to capture and correlate individual invocations from distributed agentic interactions, then scores them against golden evaluation sets using an extensible evaluation engine. The project supports offline and online evaluation modes, ships with built-in evaluators for trajectory matching and LLM-as-judge scoring, and includes a CLI, web interface and Model Context Protocol server. The company said the tool works with any model and framework that emits OpenTelemetry spans, with no requirement for agent reruns. "Evaluation is the biggest unsolved problem in agentic infrastructure today," said Idit Levine, founder and CEO of Solo.io. "Organizations have frameworks for building agents, gateways for connecting them, and registries for governing them, but no consistent way to know whether an agent is actually reliable enough to trust in production." The agentregistry project, originally introduced by Solo.io in November 2025, provides a centralized registry where AI agents, MCP tools and agent skills are catalogued, discovered and governed. Solo.io said the contribution to CNCF governance will enable community growth alongside kagent, a CNCF sandbox project for running AI agents in Kubernetes, and agentgateway, which is housed in the Linux Foundation. The registry integrates with Kubernetes, AWS AgentCore and Google Vertex AI for deployment, and includes runtime discovery to detect agents deployed outside governed workflows.

Associated Press
Mar 25th, 2026
Solo.io launches agentevals open source project for agentic AI evaluation and reliability

Solo.io has launched agentevals, an open source project for evaluating and benchmarking agentic AI behaviour across any model or framework. The company also contributed its agentregistry project to the Cloud Native Computing Foundation to address governance gaps in agentic infrastructure. Agentevals leverages OpenTelemetry to capture distributed agentic interactions and scores them against evaluation sets using an extensible engine. It offers offline and online evaluation modes, zero-code integration, built-in evaluators and a community registry for custom scoring logic. Agentregistry provides a centralised registry for AI agents, MCP tools and agent skills, enabling standardised cataloguing and governance. It integrates with platforms including Kubernetes, AWS AgentCore and Google Vertex AI. Solo.io now offers four open source AI infrastructure layers: kagent framework, agentgateway, agentregistry and agentevals.

DEVOPSdigest
Apr 24th, 2025
Solo.io Launches Agent Gateway and Introduces Agent Mesh

Solo.io launches Agent Gateway and introduces Agent Mesh.

Techzine
Apr 3rd, 2025
Solo.io introduces MCP Gateway to smoothen AI agent integration

Solo.io is launching MCP Gateway within kgateway for this purpose.