DataDog

4 weeks ago

Manager I, Engineering - Change Experience Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Lead and grow a small team of engineers building internal platforms and product experiences used across Datadog engineering. Define usability, reliability, and adoption metrics for internal developer-facing platforms, set direction across UI frameworks, CLI tooling, notification and subscription systems, and infrastructure governance workflows, while closely collaborating with infrastructure, platform engineering, and product teams to balance technical excellence with strong user experience.

Location: New York, Boston

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Lead and grow a small team of engineers responsible for internal platforms and product experiences used across Datadog engineering.
•Help define what “good” looks like for internal developer-facing platforms, including usability, reliability, documentation, adoption, and supportability.
•Set technical direction for systems that span UI frameworks, CLI tooling, notification platforms, subscription models, and infrastructure governance workflows.
•Stay in touch with your team’s code, and roll up your sleeves when needed to unblock your team by writing code or troubleshooting issues.
•Lead and cultivate a team of engineers with a diverse skill-set, including performance management and career development.

Pay and Benefits

Salary: USD 187,000 - 240,000 annually

Equity and Bonus:Equity

Perks:Equity401kHealth Insurance

Key Requirements

•Experience managing engineers working on internal platforms, developer tooling, infrastructure tooling, product platforms, or similar internally focused systems.
•Strong technical judgment across distributed systems, internal tools, APIs, data models, and user-facing engineering workflows.
•Experience working directly with engineering customers, platform teams, or infrastructure teams to understand workflows and improve how they get work done.
•Significant experience in one or more backend languages (e.g., Go, Python, Java) and with data stores such as PostgreSQL, Cassandra, Redis or ElasticSearch.
•Frontend or product-surface fluency to guide teams building internal UIs, design systems, workflow tools, or other user-facing engineering experiences.

Experience:Internal platformsDeveloper toolingInfrastructure tooling

Skills:GoPythonJavaPostgreSQLCassandraRedisElasticSearchUICLIDesign systems

Languages:English

Tech Stack:GoPythonJavaPostgreSQLCassandraRedisElasticSearchUICLIDesign systems

Company Brief

DataDog

Provides a cloud-native monitoring and observability platform that unifies metrics, traces, logs, and security signals to help engineering, operations, and security teams monitor and troubleshoot modern applications and infrastructure.

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2010

Glassdoor: 4.1

Website LinkedIn

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DataDog

4 weeks ago

Manager I, Engineering - Change Experience Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: New York, Boston

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Lead and grow a small team of engineers responsible for internal platforms and product experiences used across Datadog engineering.
•Help define what “good” looks like for internal developer-facing platforms, including usability, reliability, documentation, adoption, and supportability.
•Set technical direction for systems that span UI frameworks, CLI tooling, notification platforms, subscription models, and infrastructure governance workflows.
•Stay in touch with your team’s code, and roll up your sleeves when needed to unblock your team by writing code or troubleshooting issues.
•Lead and cultivate a team of engineers with a diverse skill-set, including performance management and career development.

Pay and Benefits

Salary: USD 187,000 - 240,000 annually

Equity and Bonus:Equity

Perks:Equity401kHealth Insurance

Key Requirements

•Experience managing engineers working on internal platforms, developer tooling, infrastructure tooling, product platforms, or similar internally focused systems.
•Strong technical judgment across distributed systems, internal tools, APIs, data models, and user-facing engineering workflows.
•Experience working directly with engineering customers, platform teams, or infrastructure teams to understand workflows and improve how they get work done.
•Significant experience in one or more backend languages (e.g., Go, Python, Java) and with data stores such as PostgreSQL, Cassandra, Redis or ElasticSearch.
•Frontend or product-surface fluency to guide teams building internal UIs, design systems, workflow tools, or other user-facing engineering experiences.

Experience:Internal platformsDeveloper toolingInfrastructure tooling

Skills:GoPythonJavaPostgreSQLCassandraRedisElasticSearchUICLIDesign systems

Languages:English

Tech Stack:GoPythonJavaPostgreSQLCassandraRedisElasticSearchUICLIDesign systems

Company Brief

DataDog

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2010

Glassdoor: 4.1

Website LinkedIn