Digital Ocean

1 month ago

Manager, AI Engineering - AI & Business Tech Engineering

✓ 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 distributed AI engineering team at DigitalOcean, setting the technical bar while shaping architecture, prototypes, and an internal AI platform. Drive AI-native transformations across multiple business units, partner with senior leaders, hire and mentor engineers, and deliver high-impact copilots, agents, and platform tooling.

Location: Boston

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead, mentor, and grow a distributed team of AI engineers (6–8) building copilots, agents, and the internal AI platform that powers them.
•Act as a player-coach: review architecture, contribute to design and prototypes for critical agents and platform components, write code where needed, and set a high technical bar.
•Shape and execute the technical roadmap for the AI Engineering team across internal AI copilots, platform, and AI-native business process re-engineering.
•Design and deliver agentic systems end to end: orchestration, tool use, memory and state, evaluation, observability, runtime governance, and incident response for non-deterministic systems.
•Build and evolve our internal AI platform (MCP gateway, agent runtimes, model access/routing, evaluation harnesses) to enable safe AI across DO engineers and teams.
•Partner with leaders across Finance, People, Sales, Marketing, and Security to identify AI opportunities and ship them.
•Collaborate with Enterprise Architecture, Data Engineering, PM, and Security to ensure AI systems are well-architected, governed, observable, and trusted.
•Champion modern AI engineering practices: evaluation-first development, prompt/versioning, runtime guardrails, audit logging, human-in-the-loop escalation, and cost attribution for LLM workloads.
•Develop OKRs, metrics, and report progress to leadership and the wider organization.
•Recruit AI engineering talent in Boston/Cambridge and broader US/non-US hubs; coach and develop the team; foster an environment for best work.
•Contribute to leadership planning and cross-org forums, and share learnings with internal communities of practice.

Pay and Benefits

Salary: USD 180,000 - 200,000 annually

Equity and Bonus:Equity

Perks:Remote WorkLearning BudgetEquityHealth Insurance

Key Requirements

•Significant experience as a software engineering manager, with a strong track record of leading and growing engineering teams that ship reliably in production.
•Hands-on engineering depth in modern AI/ML systems: large language models, retrieval-augmented generation, agents and tool use, evaluation, and the operational discipline of LLMOps.
•Experience building or operating agentic systems and orchestration frameworks, MCP tooling, vector stores, and runtime guardrails.
•Experience designing internal developer platforms or productivity tooling that engineers actually adopt, including golden paths, self-service APIs, and SDKs.
•Clear point of view on AI governance and safety: audit logging, capability boundaries, minimum-privilege tool access, human-in-the-loop escalation, and alignment with AI frameworks.

Experience:AICloudEnterprise software

Skills:LeadershipCommunicationMentoringPlanningStakeholder management

Languages:English

Tech Stack:PythonGoTypeScriptJavaKubernetesServerlessGRPCObservabilityLLMOpsAI platforms

Company Brief

Digital Ocean

Provides cloud infrastructure and developer-focused cloud services including scalable droplets, managed databases, Kubernetes, object storage, and networking to simplify deploying and managing applications for developers and small-to-medium businesses.

Industry: Cloud Computing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 250M to 500M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2011

Glassdoor: 3.8

Website LinkedIn

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Digital Ocean

1 month ago

Manager, AI Engineering - AI & Business Tech Engineering

✓ 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: Boston

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead, mentor, and grow a distributed team of AI engineers (6–8) building copilots, agents, and the internal AI platform that powers them.
•Act as a player-coach: review architecture, contribute to design and prototypes for critical agents and platform components, write code where needed, and set a high technical bar.
•Shape and execute the technical roadmap for the AI Engineering team across internal AI copilots, platform, and AI-native business process re-engineering.
•Design and deliver agentic systems end to end: orchestration, tool use, memory and state, evaluation, observability, runtime governance, and incident response for non-deterministic systems.
•Build and evolve our internal AI platform (MCP gateway, agent runtimes, model access/routing, evaluation harnesses) to enable safe AI across DO engineers and teams.
•Partner with leaders across Finance, People, Sales, Marketing, and Security to identify AI opportunities and ship them.
•Collaborate with Enterprise Architecture, Data Engineering, PM, and Security to ensure AI systems are well-architected, governed, observable, and trusted.
•Champion modern AI engineering practices: evaluation-first development, prompt/versioning, runtime guardrails, audit logging, human-in-the-loop escalation, and cost attribution for LLM workloads.
•Develop OKRs, metrics, and report progress to leadership and the wider organization.
•Recruit AI engineering talent in Boston/Cambridge and broader US/non-US hubs; coach and develop the team; foster an environment for best work.
•Contribute to leadership planning and cross-org forums, and share learnings with internal communities of practice.

Pay and Benefits

Salary: USD 180,000 - 200,000 annually

Equity and Bonus:Equity

Perks:Remote WorkLearning BudgetEquityHealth Insurance

Key Requirements

•Significant experience as a software engineering manager, with a strong track record of leading and growing engineering teams that ship reliably in production.
•Hands-on engineering depth in modern AI/ML systems: large language models, retrieval-augmented generation, agents and tool use, evaluation, and the operational discipline of LLMOps.
•Experience building or operating agentic systems and orchestration frameworks, MCP tooling, vector stores, and runtime guardrails.
•Experience designing internal developer platforms or productivity tooling that engineers actually adopt, including golden paths, self-service APIs, and SDKs.
•Clear point of view on AI governance and safety: audit logging, capability boundaries, minimum-privilege tool access, human-in-the-loop escalation, and alignment with AI frameworks.

Experience:AICloudEnterprise software

Skills:LeadershipCommunicationMentoringPlanningStakeholder management

Languages:English

Tech Stack:PythonGoTypeScriptJavaKubernetesServerlessGRPCObservabilityLLMOpsAI platforms

Company Brief

Digital Ocean

Industry: Cloud Computing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 250M to 500M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2011

Glassdoor: 3.8

Website LinkedIn