Full-Time

Product Manager II

Machine Learning Observability, LLM

Confirmed live in the last 24 hours

Datadog

Datadog

5,001-10,000 employees

Cloud monitoring and analytics solutions provider

Data & Analytics
Enterprise Software
Cybersecurity

Compensation Overview

$149k - $190kAnnually

Mid

New York, NY, USA

Hybrid workplace; in-office presence required.

Category
Applied Machine Learning
AI & Machine Learning
Product Management
Product
Required Skills
Data Science
Product Management
Pytorch
LangChain
Requirements
  • Expertise in AI/ML either as a practitioner (Data scientist) or a Product Manager or a Solutions Architect
  • 3+ years of PM experience or experience in the ML/AI space
  • Working knowledge of ML, data platforms, data engineering (e.g. key LLM/ML frameworks such as Langchain, CrewAI, pyTorch etc.)
  • Strong, inherent understanding of customer workflows and challenges with MLOps tooling
  • A strong inclination towards taking initiative
  • Preferred: previous 0 to 1 product experience
Responsibilities
  • Lead the development and execution of the roadmap for a large portion of our LLM Observability product
  • Work closely with engineers and designers to define the product feature, functionality as well as requirements for backend systems and user experience
  • Run beta programs with customers collecting feedback on the feature, functionality and usability of the core product offering
  • Breakdown complexity and ambiguity into prioritized set of problems for Engineering to solve
  • Responsible for taking this product to the public, including sales and marketing enablement in partnership with marketing teams
  • Use your understanding of ML/AI or a relevant technical space understand end user workflows and translate that into product and design requirements

Datadog provides tools for monitoring and managing IT infrastructure in the cloud. Their services help organizations track various aspects of their operations, including application performance, security, and network activity. Datadog's products work by collecting data from different sources within an organization's IT environment, allowing users to analyze performance metrics, detect security threats, and ensure that applications run smoothly. Unlike many competitors, Datadog offers a wide range of monitoring solutions that cater to specific needs such as cloud migration, DevOps practices, and IoT monitoring, all within a single platform. The company's goal is to help businesses maintain efficient and secure IT operations through comprehensive monitoring and analytics.

Company Stage

IPO

Total Funding

$143.9M

Headquarters

New York City, New York

Founded

2010

Growth & Insights
Headcount

6 month growth

0%

1 year growth

3%

2 year growth

-1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for cloud-native solutions boosts Datadog's adoption.
  • AI-driven observability tools align with Datadog's recent AI-focused offerings.
  • IoT market expansion presents opportunities for Datadog's monitoring services.

What critics are saying

  • Increased competition from new entrants like Honeycomb and Grafana Labs.
  • Potential over-reliance on AWS could pose risks during outages.
  • New privacy regulations may increase compliance costs for Datadog.

What makes Datadog unique

  • Datadog offers comprehensive monitoring across servers, containers, and databases.
  • Their LLM Observability module supports monitoring of generative AI applications.
  • Datadog's Kubernetes Active Remediation provides end-to-end management of Kubernetes environments.

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Benefits

Health Insurance

Dental Insurance

Mental Health Support

401(k) Retirement Plan

401(k) Company Match

Company Equity

Employee Stock Purchase Plan

Professional Development Budget

Hybrid Work Options

Flexible Work Hours

Paid Vacation