2 months ago

Senior Platform Product Manager - AI SDLC Trusted Throughput

✓ 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 and define the strategy for AI-native SDLC throughput on Datadog’s Internal Developer Platform, driving reliability, observability, and governance across AI-enabled software delivery. Partner with engineering, security, and developer platform teams to implement automated validation and risk scoring, deliver SDLC observability, and ensure safe, trustworthy automation at scale.

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Product Management

Key Responsibilities

•Own the product strategy, roadmap, and execution for AI-native SDLC throughput and reliability initiatives across Datadog’s Internal Developer Platform
•Define and drive platform outcomes aligned to DORA metrics, balancing deployment velocity with reliability, change failure reduction, and operational safety
•Partner with engineering, infrastructure, security, and developer experience teams to build automated validation, auditability, and risk-scoring capabilities into deployment workflows
•Deliver actionable SDLC observability and diagnostic capabilities that connect executive-level metrics to operational signals across the software delivery lifecycle
•Drive systems that monitor and validate AI-generated or AI-attributed changes to ensure correctness, compliance, and trustworthy automation

Pay and Benefits

Salary: USD 192,000 - 240,000 annually

Equity and Bonus:Equity

Perks:RsusEsppLearning BudgetMentoring

Key Requirements

•5+ years of experience in B2B SaaS Product Management or a related technical leadership role focused on developer platforms, infrastructure, or SDLC tooling
•Experience defining, instrumenting, and operationalizing engineering performance and reliability metrics, including DORA metrics and deployment health indicators
•Comfort navigating ambiguity and influencing highly technical stakeholders, including senior engineers and technical leadership
•Strong perspective on how AI is transforming software engineering workflows and understanding operational, reliability, and governance risks introduced by autonomous systems
•Effective communicator who can present complex technical concepts to engineering teams, cross-functional stakeholders, and executive audiences

Experience:5+ yearsB2B SaaSDeveloper platformsAI SDLC

Education:Bachelor's

Skills:CommunicationInfluenceStakeholder managementLeadership

Languages:English

Tech Stack:AISDLCObservabilityGovernanceDORA metrics

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

2 months ago

Senior Platform Product Manager - AI SDLC Trusted Throughput

✓ 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: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Product Management

Key Responsibilities

•Own the product strategy, roadmap, and execution for AI-native SDLC throughput and reliability initiatives across Datadog’s Internal Developer Platform
•Define and drive platform outcomes aligned to DORA metrics, balancing deployment velocity with reliability, change failure reduction, and operational safety
•Partner with engineering, infrastructure, security, and developer experience teams to build automated validation, auditability, and risk-scoring capabilities into deployment workflows
•Deliver actionable SDLC observability and diagnostic capabilities that connect executive-level metrics to operational signals across the software delivery lifecycle
•Drive systems that monitor and validate AI-generated or AI-attributed changes to ensure correctness, compliance, and trustworthy automation

Pay and Benefits

Salary: USD 192,000 - 240,000 annually

Equity and Bonus:Equity

Perks:RsusEsppLearning BudgetMentoring

Key Requirements

•5+ years of experience in B2B SaaS Product Management or a related technical leadership role focused on developer platforms, infrastructure, or SDLC tooling
•Experience defining, instrumenting, and operationalizing engineering performance and reliability metrics, including DORA metrics and deployment health indicators
•Comfort navigating ambiguity and influencing highly technical stakeholders, including senior engineers and technical leadership
•Strong perspective on how AI is transforming software engineering workflows and understanding operational, reliability, and governance risks introduced by autonomous systems
•Effective communicator who can present complex technical concepts to engineering teams, cross-functional stakeholders, and executive audiences

Experience:5+ yearsB2B SaaSDeveloper platformsAI SDLC

Education:Bachelor's

Skills:CommunicationInfluenceStakeholder managementLeadership

Languages:English

Tech Stack:AISDLCObservabilityGovernanceDORA metrics

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