Samsara

2 weeks ago

Full-Stack Engineering Manager

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead the GTM AI Engineering team to build and operate AI orchestration engines, Salesforce/CRM/PRM integrations, and agentic workflows that keep the global sales organization moving. This hands-on engineering manager role includes architecture and design/code reviews, while owning people processes like hiring, career development, performance, and culture. Partner with Sales Ops, BizTech, Finance, Legal, and GTM leadership to turn business goals into reliable, scalable engineering roadmaps.

Location: India

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Lead, hire, and develop a team of 4–7 senior engineers across the GTM AI systems stack.
•Stay hands-on with system architecture, and participate in code and design reviews to shape critical technical decisions.
•Own the engineering roadmap for GTM AI systems in partnership with Sales Ops, BizTech, Finance, Legal, and GTM leadership.
•Drive delivery of AI-first GTM systems including agentic AI pipelines, LLM orchestration layers, Salesforce CPQ integrations, real-time Slack applications, and AWS event-driven architectures.
•Champion engineering quality and responsible AI development, including standards for testing/observability/incident response and human-in-the-loop controls.

Pay and Benefits

Perks:Health InsuranceParental LeaveRemote WorkLearning Budget

Key Requirements

•8+ years of software engineering experience, including 2+ years in an engineering management or tech lead role with direct reports.
•Strong technical depth in Python (production services, async processing, LLM integration) and TypeScript/JavaScript (React, Node.js).
•Hands-on Salesforce platform experience including REST/Bulk/Streaming APIs, SOQL, CPQ/Steelbrick, platform events, and flow automation.
•Solid AWS expertise across services like Lambda, SQS/SNS/EventBridge, API Gateway, S3, RDS/Aurora, CloudWatch, IAM, and multi-account patterns.
•Experience building and deploying LLM-powered systems using OpenAI API, Anthropic API, LangChain, LangGraph, or equivalent agentic frameworks.

Experience:8+ yearsSaaSB2BAI systemsAgentic workflowsSales technologyRevOpsLow-code automation

Education:Bachelor's in Computer Science, Engineering, or related field

Skills:LeadershipCommunicationCross-functional collaborationDesign reviewPeople management

Certifications:AWS Solutions Architect ProfessionalAWS DevOps Engineer Professional

Languages:English

Tech Stack:PythonTypeScriptJavaScriptReactNode.jsSalesforceREST APIsBulk APIsStreaming APIsSOQLSalesforce CPQSteelbrickPlatform eventsFlow automationAWS LambdaAmazon SQSAmazon SNSEventBridgeAPI GatewayAmazon S3

Company Brief

Samsara

Provides an integrated IoT platform combining hardware sensors, cameras, and cloud-based software to help businesses monitor vehicles, equipment, and operations for fleet management, safety, compliance, and operational efficiency.

Industry: Supply Chain Technology

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2015

Website LinkedIn

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Samsara

2 weeks ago

Full-Stack Engineering Manager

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: India

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Lead, hire, and develop a team of 4–7 senior engineers across the GTM AI systems stack.
•Stay hands-on with system architecture, and participate in code and design reviews to shape critical technical decisions.
•Own the engineering roadmap for GTM AI systems in partnership with Sales Ops, BizTech, Finance, Legal, and GTM leadership.
•Drive delivery of AI-first GTM systems including agentic AI pipelines, LLM orchestration layers, Salesforce CPQ integrations, real-time Slack applications, and AWS event-driven architectures.
•Champion engineering quality and responsible AI development, including standards for testing/observability/incident response and human-in-the-loop controls.

Pay and Benefits

Perks:Health InsuranceParental LeaveRemote WorkLearning Budget

Key Requirements

•8+ years of software engineering experience, including 2+ years in an engineering management or tech lead role with direct reports.
•Strong technical depth in Python (production services, async processing, LLM integration) and TypeScript/JavaScript (React, Node.js).
•Hands-on Salesforce platform experience including REST/Bulk/Streaming APIs, SOQL, CPQ/Steelbrick, platform events, and flow automation.
•Solid AWS expertise across services like Lambda, SQS/SNS/EventBridge, API Gateway, S3, RDS/Aurora, CloudWatch, IAM, and multi-account patterns.
•Experience building and deploying LLM-powered systems using OpenAI API, Anthropic API, LangChain, LangGraph, or equivalent agentic frameworks.

Experience:8+ yearsSaaSB2BAI systemsAgentic workflowsSales technologyRevOpsLow-code automation

Education:Bachelor's in Computer Science, Engineering, or related field

Skills:LeadershipCommunicationCross-functional collaborationDesign reviewPeople management

Certifications:AWS Solutions Architect ProfessionalAWS DevOps Engineer Professional

Languages:English

Company Brief

Samsara

Industry: Supply Chain Technology

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2015

Website LinkedIn