Full-Time
Senior Sales Engineer
Field Engineering
Posted on 8/17/2025
Observe
51-200 employees
Cloud-based observability platform for applications
No salary listed
New York, NY, USA + 1 more
More locations: Atlanta, GA, USA
Remote
Candidates must be based in the US East region.
 Sales & Solution Engineering (1) |
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- 5+ years in a Sales Engineering, Solutions Architect, or similar customer-facing technical role in observability/monitoring/logging.
- Proven track record working with upper mid-market and enterprise accounts, influencing both technical and business decision-makers.
- Experience at a leading observability vendor (New Relic, Datadog, Grafana, Splunk, Sumo Logic, or similar).
- Experience leading competitive takeouts in head-to-head vendor evaluations.
- Strong expertise with: Log aggregation and analysis (Elastic, Loki, Splunk, etc.), Metrics collection and visualization (Prometheus, Grafana, etc.), Distributed tracing (OpenTelemetry), APM, RUM, Cloud-native environments (AWS, GCP, Azure, Kubernetes, serverless architectures), Familiarity with DevOps, SRE, and modern application delivery practices.
- Excellent communication skills – able to simplify the complex and tell a compelling technical story.
- Strong bias for action and ownership of leading the technical side of engagements. You know how to skillfully handle coordination between internal and external stakeholders to achieve technical wins.
- Hands-on mentality – comfortable writing queries, configuring integrations, and instrumenting code in real time.
- Partner with Account Executives to drive technical strategy and win new business in upper mid-market and enterprise accounts.
- Lead discovery and solution design for monitoring, logging, and tracing use cases, aligning with customer business objectives.
- Run engaging product demonstrations that clearly articulate value, differentiate from competitors, and inspire technical stakeholders.
- Design and execute POCs with measurable success criteria, guiding customers through instrumentation, data onboarding, and dashboarding.
- Advise on best-practice architectures for distributed tracing, log analytics, metrics pipelines, and service monitoring.
- Be the technical voice of the customer internally, influencing product roadmap and ensuring long-term adoption success.
- Stay ahead of the curve by maintaining expertise in competitive products, market trends, and emerging observability practices.
- Exposure to modern AI concepts, especially as it relates to observability, troubleshooting and improvements in developer productivity: statistical anomaly detection, generative AI, MCP servers, coding assistants, etc.
Observe Inc. builds and sells the Observability Cloud, a software platform for monitoring complex modern applications. It helps software developers and engineering managers ingest data from almost any source and in any format, so they can see a holistic view of how their applications and systems perform. The platform works by collecting and correlating data from diverse tools and logs, traces, metrics, and other formats, then presenting it in dashboards and alerts to support fast decisions. It is offered on a subscription basis with a free trial, and emphasizes high-quality customer support, including premium options. Compared to competitors, Observe stands out by its broad data ingestion capability and a focus on providing a complete, end-to-end observability solution rather than isolated monitoring tools. The company’s goal is to help teams manage the complexity of continuous releases and large data volumes, enabling better decisions and more reliable software delivery.
Company Size
51-200
Company Stage
Series C
Total Funding
$463M
Headquarters
San Mateo, California
Founded
2017
Simplify's Take
What believers are saying
- Snowflake closed acquisition in 2026, integrating AI observability.
- Ranked #38 on 2025 Deloitte Fast 500 with tripled 2024 revenue.
- AI agents cut observability costs 60% per Gartner 2025 survey.
What critics are saying
- Key Observe engineers depart post-Snowflake acquisition in 6 months.
- Datadog AI suite erodes differentiation, accelerates churn in 12 months.
- Observe.ai name confusion diverts 20% developer leads ongoing.
What makes Observe unique
- Observe unifies logs, metrics, traces in cost-effective data lake.
- Data Graph technology diagnoses distributed app issues 3x faster.
- AI SRE and o11y.ai agents enable 10x faster incident triage.
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Benefits
Remote Work Options
Flexible Work Hours
Growth & Insights and Company News
6 month growth
↑ 67%1 year growth
↑ 68%2 year growth
↑ 67%Snowflake closes acquisition of Observe to bring ai-powered observability to customers. Today, we're excited to welcome the Observe team to Snowflake as we officially closed our acquisition. Last month, we announced our intent to acquire Observe to deliver AI-powered observability to our customers. This acquisition expands our capabilities in the growing IT operations management software market. This acquisition brings Observe's AI-powered observability into Snowflake, allowing customers to run their most critical workloads with greater reliability and performance. In fact, Observe's AI agents enable teams to troubleshoot issues up to 10 times faster while reducing costs. Observe was built on Snowflake from the start, bringing value to our mutual customers. Together, we'll shift teams from reactive monitoring to proactive, predictive operations across their AI and data applications. Observe's developer-friendly approach will also complement our existing platform by providing teams with real-time enterprise context, faster root cause analysis and AI-assisted troubleshooting - critical components for operating dynamic, autonomous systems at scale. We're excited to help our customers with their observability needs, while bringing our traditional focus on ease of use, high performance and governance capabilities. With the close of the acquisition, Observe CEO and Founder, Jeremy Burton, has resigned from Snowflake's Board of Directors. [Forward-Looking Statements] [This release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, regarding the anticipated benefits of the acquisition of Observe, and the anticipated impacts of the acquisition on our business, products, financial results, and other aspects of our and Observe's operations. These forward-looking statements are subject to known and unknown risks, uncertainties, assumptions, and other factors that may cause actual results or outcomes to be materially different from any future results or outcomes expressed or implied by the forward-looking statements. These risks, uncertainties, assumptions, and other factors include, but are not limited to: the effect of the announcement of the acquisition on the ability of Snowflake or Observe to retain key personnel or maintain relationships with customers, vendors, developers, community members, and other business partners; risks that the acquisition disrupts current plans and operations; our ability to successfully integrate Observe's operations; our and Observe's ability to execute on our business strategies relating to the acquisition and realize expected benefits and synergies; and our ability to compete effectively, including in response to actions our competitors may take following announcement of the acquisition. Further information on these and additional risks, uncertainties, and other factors that could cause actual outcomes and results to differ materially from those included in or contemplated by the forward-looking statements contained in this release are included under the caption "Risk Factors" and elsewhere in our Form 10-Q for the fiscal quarter ended October 31, 2025 and subsequent filings and reports we make with the Securities and Exchange Commission from time to time. Moreover, both we and Observe operate in a very competitive and rapidly changing environment, and new risks may emerge from time to time. It is not possible for us to predict all risks, nor can we assess the impact of all factors on our business or the acquisition, or the extent to which any factor, or combination of factors, may cause actual results or outcomes to differ materially from those contained in any forward-looking statements we may make. Forward-looking statements speak only as of the date the statements are made and are based on information available to us at the time those statements are made and/or our management's good faith belief as of that time with respect to future events. Except as required by law, we undertake no obligation, and do not intend, to update these forward-looking statements to reflect events that occur or circumstances that exist after the date on which they were made.] By submitting this form, I understand Snowflake will process my personal information in accordance with their Privacy Notice.
Snowflake has acquired Observe to enhance its enterprise-wide observability capabilities, CEO Sridhar Ramaswamy confirmed. The acquisition will integrate Observe's technology directly into the Snowflake AI Data Cloud. The deal aims to enable customers to manage observability across terabytes to petabytes of telemetry data using what Ramaswamy described as a "modern, scalable architecture and AI-powered troubleshooting workflows". Financial terms of the acquisition were not disclosed. The move strengthens Snowflake's position in helping enterprises monitor and analyse large-scale operational data.
Saudi Arabia's benchmark Tadawul All Shares Index fell 0.1% on Thursday, with Saudi National Bank down 0.9% and Saudi Aramco declining 0.3%. Aramco signed a five-year service contract with Schlumberger, whilst ACWA Power secured a $400 million public-private partnership agreement with Azerbaijan to develop and operate a large-scale seawater desalination plant. Alamar Foods signed a SAR 30 million Shariah-compliant credit facility with Saudi Awwal Bank. Middle East Paper terminated its acquisition of Al Medan Project Factory for Corrugated Carton after deal conditions were not met. In US markets, Snowflake is negotiating a roughly $1 billion acquisition of observability tools developer Observe, which would mark its largest deal to date.
Observe, Inc. ranked number #38 fastest-growing company in North America on the 2025 Deloitte Technology Fast 500(TM). November 24, 2025 Second straight year of recognition underscores accelerating customer demand for AI-powered observability at scale. San Mateo, Calif. - November 24, 2025 - Observe Inc., the leader in AI-powered observability, today announced it ranked #38 on the Deloitte Technology Fast 500(TM), a ranking of the fastest-growing technology, media, telecommunications, life sciences, fintech, and energy tech companies in North America, now in its 31st year. Technology Fast 500 award winners are selected based on percentage fiscal year revenue growth from 2021 to 2024. Observe grew 2,973% during this period. "Our growth reflects a fundamental shift in how enterprises operate at scale," said Jeremy Burton, CEO of Observe Inc. "The future of observability isn't collecting more data, it's understanding it. That's why we built Observe on an open O11y Data Lake, a Knowledge Graph that captures real-time system context, and an AI SRE agent to reason over it. Our customers are troubleshooting 10x faster while cutting costs by up to 60%. As systems become more dynamic and autonomous, Observe is focused on giving every engineering team the context they need to move with extraordinary speed and confidence." This recognition follows Observe's recent launch of two new AI agents, AI SRE and o11y.ai, leveraging code generation and data lake architecture to streamline reliability engineering, accelerate incident resolution, and keep systems resilient at scale. Earlier this year, the company also announced $156 million in a Series C funding led by Sutter Hill Ventures with participation from Madrona Ventures, Alumni Ventures, Snowflake Ventures, and Capital One Ventures. "This year's rankings highlight both enduring leadership and breakthrough momentum," said Wolfe Tone, US Deloitte Private & Emerging Client Portfolio Leader. "More than half of the winners are prior honorees, yet the majority of the top ten are first-time entrants - demonstrating the staying power of established leaders alongside the accelerating growth of new innovators across key sectors. As in previous years, private companies continue to dominate, underscoring the agility that private enterprises bring to competitive markets, enabling the exceptional triple and quadruple digit growth reflected in these rankings." About the 2025 Deloitte Technology Fast 500(TM). Now in its 31st year, the Deloitte* Technology Fast 500 provides a ranking of the fastest-growing technology, media, telecommunications, life sciences, fintech, and energy tech companies - both public and private - in North America. Technology Fast 500 award winners are selected based on percentage fiscal year revenue growth from 2021 to 2024. In order to be eligible for Technology Fast 500 recognition, companies must own proprietary intellectual property or proprietary technology that significantly contributes to the company's operating revenues. Companies must have base-year operating revenues of at least US$50,000, and current-year operating revenues of at least US$5 million, with a growth rate of 50% or greater. Additionally, companies must be in business for a minimum of four years and be headquartered within North America (United States and Canada). About Observe, Inc. Headquartered in San Mateo, Calif., Observe Inc. delivers modern AI-powered observability at scale. Built on an open data lake with a proprietary Knowledge Graph and AI SRE, Observe enables users to troubleshoot faster at drastically lower cost. For more information, visit www.observeinc.com.
Observe adds two AI agents to improve observability. Observe Inc. today added two artificial intelligence (AI) agents to its observability platform that enables DevOps teams to automate incident investigations, while giving developers the ability to generate code instrumentation, debug, and launch natural language queries to better understand how their application is running. Designed primarily for site reliability engineers (SREs), the Observe AI SRE Agent autonomously applies context provided by the Observe platforms to pinpoint root causes and suggest fixes to help resolve issues faster. The o11y.ai agent, meanwhile, enables developers to first automatically generate the OpenTelemetry code needed to instrument their code and then use natural language to ask questions about usage, errors and performance, as well as debug and validate fixes, using context and insights derived from their telemetry data and the way their code has been structured. Both these agents leverage a graph and Model Context Protocol (MCP) server that Observe has embedded into its platform to make it simpler for AI agents to discover and query data. Originally developed by Anthropic, the MCP server makes it possible for developers using AI coding tools such as Claude Code, OpenAI Codex, Augment Code, Windsurf and n8n to access the telemetry data aggregated in the Observe platform. Observe CEO Jeremy Burton said that the approach enables developers to access observability insights directly from within their preferred application development tool without having to learn how to navigate the graphical interface of an observability platform. Collectively, these agents will help reduce the level of burnout that software engineering teams are encountering as they deploy more complex applications at higher levels of scale using AI coding tools, he added. It's not likely AI agents are going to replace the need for developers and DevOps engineers any time soon, but they do significantly reduce the overall amount of daily toil that software engineering teams encounter, noted Burton. For example, organizations that have been given early access to those AI agents have seen a 10x improvement in triaging efforts that enables them to resolve issues in a few minutes that previously would have required hours, he added. It's not clear to what degree DevOps teams will rely on AI agents provided by platform providers such as Observe versus opting to build their own AI agents that automate workflows across multiple platforms. The one certain thing is that those teams will soon be orchestrating multiple AI agents embedded across highly distributed workflows. DevOps teams will need to spend some time determining how best to organize those AI agents across their DevOps workflows, noted Burton. Hopefully, as telemetry data becomes more accessible, the overall quality of the applications being built and deployed will significantly increase. That's becoming an especially critical issue in the age of AI because coding tools based on large language models (LLMs), while increasing developer productivity, are also generating more verbose code that is becoming both more challenging to debug and expensive to run. Regardless of the number of AI agents that are ultimately deployed, the one certain thing is that at the heart of those workflows will be a human engineer who is uniquely able to make sense of it all.