Senior AI Engineer
FoodsmartSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Software, Information Technology, Open SourceIndustries
Requirements
Candidates should possess 8+ years of engineering or systems development experience, with at least 2 years focused on AI-first development and proven experience building 0-1 AI products and strategic technology implementations with measurable business outcomes. Proficiency in JavaScript/Node.js, Python, and Git is required, along with experience in building scalable cloud-based infrastructure on GCP and workflow automation via no-code/low-code platforms like Make.com, n8n, or Workato.
Responsibilities
The Staff AI Growth Engineer will architect and lead the development of next-generation AI agent and workflow systems, owning the AI growth roadmap and shaping internal capabilities and integrations to streamline marketing and operational workflows. This includes driving modular, scalable, multi-agent AI systems, developing CI/CD pipelines and automation frameworks, leading strategic AI transformation initiatives, partnering with various teams to identify inefficiencies and deliver agent-based solutions, and building secure, documented systems with robust controls and company-wide standards for AI governance.
Skills
AI
System Design
Workflow Automation
Scalability
Business Automation
Coding
ROI
Observability
Grafana Labs
Observability and monitoring solutions provider
About Grafana Labs
Grafana Labs specializes in observability and monitoring solutions for cloud infrastructure and applications. Its main product, Grafana, is an open-source metrics dashboard that allows users to visualize and analyze data from various sources. This helps businesses monitor the performance and health of their systems in real-time. Grafana Labs serves a wide range of clients, including large enterprises and individual developers, particularly in sectors like technology, finance, healthcare, and retail. Unlike many competitors, Grafana Labs offers both open-source and commercial products, generating revenue through premium features, enterprise support, and managed cloud services. The company's goal is to provide essential tools for monitoring and visualizing data, ensuring that digital services are reliable and efficient.
New York City, New YorkHeadquarters
2014Year Founded
$783.2MTotal Funding
SERIES_DCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
1,001-5,000Employees
Benefits
30 days of paid vacation each year on top of national holidays, parental leave, & sick leave
Health coverage
4% contribution match on our 401(k)
$1,500 learning and development stipend
Udemy subscription
Complimentary subscription to Headspace
Discounts on a wide variety of services, including entertainment, food, and fitness.
Remote Work Option
Global Employee Assistance Program
Risks
Increased competition from Datadog, Dynatrace, and New Relic pressures Grafana to innovate.
Recent critical security vulnerabilities could affect customer trust and adoption.
Rapid regional expansion may strain resources and impact service quality.
Differentiation
Grafana Labs offers a unique open-source observability platform with extensive customization.
The company provides both self-managed and fully managed observability solutions for diverse needs.
Grafana Labs integrates AI to enhance data analysis and monitoring capabilities.
Upsides
Grafana Labs raised $270M, boosting its valuation to over $6 billion in 2024.
The company surpassed $250M in annual recurring revenue with over 5,000 customers.
Expansion into Southeast Asia shows Grafana's commitment to localized cloud services.
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