Postman

4 weeks ago

Engineering Manager, Postman AI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Lead and scale a GenAI infrastructure team delivering large-scale distributed AI platforms. Set architectural direction for AI post-training, inference, and data pipelines; optimize performance across GPUs/xPUs, networks, and cloud, while ensuring reliability, observability, and cross-functional alignment with research, ML, product, and platform teams.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead and grow a team of engineers responsible for large-scale, distributed AI infrastructure and services.
•Set technical direction and architectural standards for AI post-training, inference, and data pipelines.
•Drive performance optimization across GPU/xPU accelerators, networking, storage, and cloud environments.
•Own reliability, scalability, and observability for AI workloads, including SLAs, incident response, and capacity planning.
•Mentor and develop engineers, fostering a culture of technical excellence, ownership, and collaboration.

Pay and Benefits

Perks:Health InsuranceMeal AllowanceWellness StipendDonation MatchingPaid Leave

Key Requirements

•Experience leading engineering teams building GenAI infrastructure, distributed systems, or high-performance platforms.
•Strong background in cloud computing, large-scale distributed systems, and AI/ML infrastructure.
•Deep understanding of scaling challenges for AI workloads, including accelerators (GPU/xPU), scheduling, and performance tuning.
•Proficient in Python or Go, with the ability to guide design and review complex systems.
•Comfortable making architectural tradeoffs across cost, performance, reliability, and velocity.

Experience:GenAI infrastructureDistributed systemsAI/ML infrastructureCloud computing

Skills:PythonGoGPUCloudDistributed systemsInferenceAI/ML infrastructure

Languages:English

Tech Stack:PythonGoGPUCloudDistributed systemsInferenceKubernetes

Company Brief

Postman

Provides a collaborative API development platform enabling design, testing, documentation, and monitoring of APIs. Widely used by developers and teams to streamline API workflows across development and testing lifecycles.

Industry: API Platforms

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2014

Website LinkedIn

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Postman

4 weeks ago

Engineering Manager, Postman AI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead and grow a team of engineers responsible for large-scale, distributed AI infrastructure and services.
•Set technical direction and architectural standards for AI post-training, inference, and data pipelines.
•Drive performance optimization across GPU/xPU accelerators, networking, storage, and cloud environments.
•Own reliability, scalability, and observability for AI workloads, including SLAs, incident response, and capacity planning.
•Mentor and develop engineers, fostering a culture of technical excellence, ownership, and collaboration.

Pay and Benefits

Perks:Health InsuranceMeal AllowanceWellness StipendDonation MatchingPaid Leave

Key Requirements

•Experience leading engineering teams building GenAI infrastructure, distributed systems, or high-performance platforms.
•Strong background in cloud computing, large-scale distributed systems, and AI/ML infrastructure.
•Deep understanding of scaling challenges for AI workloads, including accelerators (GPU/xPU), scheduling, and performance tuning.
•Proficient in Python or Go, with the ability to guide design and review complex systems.
•Comfortable making architectural tradeoffs across cost, performance, reliability, and velocity.

Experience:GenAI infrastructureDistributed systemsAI/ML infrastructureCloud computing

Skills:PythonGoGPUCloudDistributed systemsInferenceAI/ML infrastructure

Languages:English

Tech Stack:PythonGoGPUCloudDistributed systemsInferenceKubernetes

Company Brief

Postman

Industry: API Platforms

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2014

Website LinkedIn