Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The Marketing Operations team is responsible for the systems, processes, and data infrastructure that power Stripe's global marketing engine. We partner closely with Growth, Demand Generation, Regional Marketing, Lifecycle, Sales Development, and Marketing Technology teams to ensure campaigns are executed with precision, prospect data is accurate and actionable, and our marketing technology stack operates at scale.

We are systems thinkers and operational leaders focused on improving the workflows, tooling, data quality, and processes that enable marketing and sales teams to move faster and more effectively. Our work spans campaign operations, marketing automation, prospect data management, and cross-functional program delivery.

What you'll do

We are looking for a Marketing Operations Program Manager to own and drive critical operational programs across campaign execution, prospect data management, and marketing process improvement. This role sits at the intersection of marketing technology, data operations, and program management — and requires someone who can move fluidly between strategic planning and hands-on execution.

You will serve as a process owner for key marketing operations workstreams, partnering with stakeholders across marketing, sales, and engineering to deliver scalable solutions that improve efficiency, data quality, and pipeline impact.

Responsibilities

Embed within the regional marketing team to deeply understand and represent market nuances, and be the primary representative for Marketing Operations initiatives

• Serve as the process owner for campaign execution workflows across email, landing pages, and paid media, supporting Growth, Lifecycle, and Global Campaigns marketing teams
• Consult on best practices in Marketo, with a focus on automation, scalability, and operational design; design complex nurture and trigger campaigns and standardize them for broader use
• Lead programs to address recurring operational challenges; define objectives, success metrics, and build repeatable processes that scale
• Serve as a technical bridge between regional marketing, product, and engineering teams to scope business requirements, coordinate discovery, and translate operational needs into product requirements for internal tooling
• Drive regional performance transparency by analyzing pipeline health and marketing database trends; proactively identify and unblock operational friction through collaboration with cross-functional teams
• Accelerate review cycles, pilots, and feedback collection during program execution; summarize required changes, identify launch-blocking issues, and escalate risks as needed
• Drive ongoing improvements in marketing operations through process innovation, automation, and the adoption of AI-powered tools to increase productivity and transform workflows
• Maintain scalable documentation and support coordination with offshore production teams and cross-functional partners across time zones

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 6+ years of experience in B2B marketing operations, campaign management, or a related program management role within a high-growth technology environment
• 3+ years of experience working day-to-day with marketing automation platforms, CRM platforms, prospect data, and lead management
• 3+ years of experience in end-to-end program management of cross-functional marketing, sales, and engineering initiatives
• Experience building AI agents, including examples of agents you have deployed and examples of ways you are using AI on a daily basis beyond chat
• 3+ years of experience doing your own analysis using queries, dashboards, and AI and partnering with analysts and data scientists for more complex analytics needs
• 3+ years of experience defining your own scope and goals and collaborating with a distributed, global team to deliver on them
• Excellent written and verbal communication skills, including the ability to convey complex operational concepts to diverse stakeholders across marketing, sales, and engineering

Preferred qualifications

• Experience managing prospect or marketing database programs, including data enrichment, hygiene, and growth using first-party and third-party data sources
• 3+ years of experience with Salesforce, including lead and contact management, campaign attribution, and marketing-to-sales data flows
• 3+ years of experience with Marketo audience and campaign design and production
• Experience selecting and managing third-party data providers for B2B contact enrichment and prospecting
• Experience implementing AI tools to improve marketing operations workflows and productivity
• Experience working with global teams on a day-to-day basis
• Knowledge of data privacy and compliance frameworks as they relate to prospect data acquisition and marketing database management
• Experience in the financial services, payments, or B2B software industries

Accounting at Brex

The Accounting team at Brex ensures we produce accurate and timely financial results to stakeholders to guide the business forward.  We go beyond closing the books — we automate, iterate, and improve processes in close collaboration with partners across the business. The team also serves as power users and thought leaders for Brex's own products. We bring precision and curiosity to everything we build, combining deep ownership with a product mindset to help shape the future of finance.

What you’ll do

The Financial Reporting Manager will manage all aspects of our financial reporting processes. The primary responsibility involves the preparation and distribution of financials in line with internal management reporting format and GAAP standards. You are responsible for maintaining the integrity of our financial records as well as developing reporting processes that scale as Brex evolves and matures. You will work cross functionally within a detail-oriented environment where creative problem solving is highly valued. The Financial Reporting Manager is expected to manage multiple priorities concurrently without compromising quality, accuracy or completeness.

Where you'll work

This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Lead the monthly, quarterly and annual preparation of consolidated and entity-only financial statements for internal and external use
• Manage various reporting for regulated entities, ensuring the highest level of compliance with the regulatory reporting requirements 
• Act as the subject matter expert, evaluate complex, non-routine transactions and provide technical accounting guidance and disclosure recommendations
• Stay current on FASB pronouncements and proactively assess impact to the Company in partnership with business stakeholders
• Iterate and develop GAAP accounting policies and support high-impact business initiatives such as post-merger integration and product launches
• Act as the primary accounting stakeholder for Business Systems initiatives, ensuring that ERP configurations and mapping logics are maintained appropriately
• Design and implement controls over financial reporting, including identifying control objectives, mapping risks, and determining appropriate control activities across the close and reporting cycle
• Create sustainable, repeatable and scalable processes, including the review and update of process documentation 
• Play a strategic role and serve as the primary liaison between accounting, finance, and the broader business organization for new initiatives and projects
• Ensure timely close through the preparation and review of journal entries, reconciliations and variance analytics, as well as coordination with FP&A 
• Identify and deliver process improvements via automation, AI initiatives and cross functional collaboration

Requirements

• CPA license
• 6+ years of public accounting or private industry experience
• Strong technical accounting and financial reporting knowledge in US GAAP
• Effective verbal, listening, and written communication skills
• Ability to work in a fast-paced environment and address difficult situations in a professional manner
• Innovative and able to provide “outside of the box” solutions 
• Passion for having an owner’s mentality towards responsibilities and for career growth
• Experience implementing and improving business processes and systems
• Strong interpersonal skills and ability to manage deadlines effectively
• Proficient in Microsoft Excel and Google Sheets

Bonus Points

• A combination of public accounting and private industry experience
• Relevant experience in credit card/payment processing 
• Knowledge and experience using AI tools such as ChatGPT, Claude and/or Google Gemini
• Knowledge and experience using NetSuite, Looker and/or other data visualization/ automation software
• Knowledge and experience using DFIN, Workiva or similar financial reporting platforms

Compensation

The expected salary range for this role is $131,000- $163,000. However, the starting base pay will depend on several factors, including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

The Team + The Role

Pendo’s Customer Engineering team is the technical backbone of the pre- and post-sales customer motion. The team brings together work that has historically sat across Customer Success, Technical Account Management, and Solutions Engineering into one full-lifecycle technical owner. Customer Engineering helps customers connect technical execution to business outcomes and realize the value of their investment in Pendo.

As a Senior Customer Engineer, you own strategic and complex Enterprise accounts across acquisition, implementation, adoption, expansion, and escalation. You lead technical strategy for complex deployments, resolve ambiguous customer challenges, and partner closely with account teams to drive retention, expansion, and customer value. Your impact extends beyond your own accounts through playbooks, coaching, repeatable fixes, and workflow improvements that raise the capability of the broader Customer Engineering team.

This is a remote role supporting a West Coast territory. 

What this looks like day-to-day

• New customer acquisition and selling: Partner with Account Directors on pre-sales motions for new customer acquisition, product expansion, and expansion across lines of business. You identify customer pain, craft and deliver tailored demos, and lead technical evaluations through requirements gathering, success criteria, installation guidance, and hands-on workshops.
• Complex implementations and value realization: Lead onboarding for strategic customers, including planning, implementation, integrations, and training. You build customer-specific implementation playbooks, guide complex deployments with executive visibility, and ensure customers realize value during onboarding and over time.
• Adoption, expansion, and growth: Identify opportunities to expand adoption across underutilized features, untapped products, and new lines of business. When adoption stalls, you diagnose root causes, design a path forward, and connect technical work to measurable business outcomes.
• Technical escalation: Serve as an escalation point for complex technical challenges raised by other Customer Engineers. You resolve ambiguous problems with multiple variables and tradeoffs, involving Product or Engineering only when truly needed.
• Team capability building: Build playbooks, document repeatable fixes, coach peers, and improve how Customer Engineering work gets done across the team. You use AI tools to accelerate content creation, surface patterns across accounts, and share practical workflow findings with the broader team.
• Early account impact: Assess account health, risks, stakeholder relationships, and the highest-priority problems to solve within your portfolio. You establish trust with Account Directors and customer stakeholders, then independently lead complex customer interactions that move accounts forward.
• Quarterly business outcomes: Drive measurable improvement in customer health, retention, expansion, and technical resolution across strategic accounts. You contribute reusable frameworks, playbooks, or processes that other Customer Engineers use and become a trusted advisor to Account Directors on account health and technical strategy.

Who You Are

Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.

You're a builder, not a maintainer.

You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Senior Customer Engineers don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.

You're AI-curious - genuinely.

You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.

Must-haves

• 5 to 8 years of experience in a customer-facing technical role such as Sales Engineering, Solutions Engineering, Technical Account Management, Customer Engineering, implementation, professional services, or solutions architecture.
• Deep hands-on experience with web technologies including HTML, CSS, JavaScript, and REST APIs, with the ability to architect and troubleshoot complex front-end implementations.
• Proven experience managing strategic Enterprise accounts with executive-level stakeholders, competing priorities, and complex technical or business requirements.
• Demonstrated ability to solve ambiguous problems involving multiple variables, constraints, and tradeoffs.
• Experience connecting technical execution to business outcomes such as retention, expansion, ROI, and value realization.
• Hands-on use of AI tools for account research, content creation, or workflow automation, with demonstrated integration into day-to-day work rather than light experimentation.
• Experience mentoring or coaching more junior technical team members.

Nice-to-haves

• Experience with Pendo, digital adoption platforms, product analytics, or in-app experience tooling in an enterprise environment.
• Hands-on experience with mobile app development, including Swift, Android, or React Native.
• Familiarity with data architecture, AI or machine learning concepts, or advanced analytics instrumentation.
• Track record of building reusable frameworks, playbooks, or processes that were adopted by a broader team.

About Pendo

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.

Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.

Location: Remote

Compensation: The expected On-Target Earnings (OTE) range for this role is $193,393 - $241,742, with a 70/30 base-to-variable compensation split.

Benefits: Pendo offers highly competitive United States benefits, including employer-heavy coverage with $0 premium options, strong 401(k) match, equity, and flexible time off.

EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.

Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

We’re looking for a Principal Engineer to drive the technical direction and architecture of Platform-as-a-Service (PaaS) at DigitalOcean. Our mission is to make deploying, scaling, and managing applications as simple and seamless as possible for developers around the world—from first deploy to internet scale.

As a Principal Engineer on the PaaS team, you’ll play a key role in designing and building the next generation of cloud-native services such as App Platform, Functions, and CI/CD. You’ll architect systems that power our global infrastructure, partner closely with engineering and product teams across the company, and mentor engineers to level up the entire organization. This is a unique opportunity to shape how developers build and ship software on a platform purpose-built for simplicity and scale.

We’re looking for someone who can span technical strategy and hands-on execution—someone who thrives on solving complex distributed problems and multiplying the impact of everyone around them.

What You’ll Do:

• Architect and guide the implementation of high-scale, reliable, and secure systems that underpin our PaaS offerings.
• Drive technical direction and make foundational decisions on system design, scalability, observability, and developer experience.
• Partner with product managers and engineering leadership to define short- and long-term roadmap priorities.
• Identify platform bottlenecks, inefficiencies, and future risks—and design solutions that proactively address them.
• Collaborate across teams to ensure seamless integration between platform services, infrastructure, and developer tools.
• Mentor engineers at all levels and contribute to a culture of technical excellence, inclusivity, and impact.
• Stay ahead of emerging technologies, patterns, and best practices in the PaaS, serverless, and cloud-native ecosystem.

Key Metrics:

• Platform availability and system performance
• Developer adoption and satisfaction
• Technical debt reduction and architectural clarity
• Engineering velocity and cross-team alignment

What You’ll Add to DigitalOcean:

• 11+ years of experience designing and building distributed systems at scale.
• Expertise in one or more backend languages (e.g., Go, Python, C++, Java) and strong fundamentals in systems architecture and infrastructure.
• Proven experience leading the design of large-scale services used by 1000s (or millions) of customers.
• Passion for mentoring and elevating those around you—technical leadership is about multiplying impact.

Compensation Range:

• $227,040 - $283,800

*This is a remote role

JR: 2025-7225

#LI-Remote

#LI-SK1 

We’re looking for a Principal Engineer to drive the technical direction and architecture of Platform-as-a-Service (PaaS) at DigitalOcean. Our mission is to make deploying, scaling, and managing applications as simple and seamless as possible for developers around the world—from first deploy to internet scale.

As a Principal Engineer on the PaaS team, you’ll play a key role in designing and building the next generation of cloud-native services such as App Platform, Functions, and CI/CD. You’ll architect systems that power our global infrastructure, partner closely with engineering and product teams across the company, and mentor engineers to level up the entire organization. This is a unique opportunity to shape how developers build and ship software on a platform purpose-built for simplicity and scale.

We’re looking for someone who can span technical strategy and hands-on execution—someone who thrives on solving complex distributed problems and multiplying the impact of everyone around them.

What You’ll Do:

• Architect and guide the implementation of high-scale, reliable, and secure systems that underpin our PaaS offerings.
• Drive technical direction and make foundational decisions on system design, scalability, observability, and developer experience.
• Partner with product managers and engineering leadership to define short- and long-term roadmap priorities.
• Identify platform bottlenecks, inefficiencies, and future risks—and design solutions that proactively address them.
• Collaborate across teams to ensure seamless integration between platform services, infrastructure, and developer tools.
• Mentor engineers at all levels and contribute to a culture of technical excellence, inclusivity, and impact.
• Stay ahead of emerging technologies, patterns, and best practices in the PaaS, serverless, and cloud-native ecosystem.

Key Metrics:

• Platform availability and system performance
• Developer adoption and satisfaction
• Technical debt reduction and architectural clarity
• Engineering velocity and cross-team alignment

What You’ll Add to DigitalOcean:

• 11+ years of experience designing and building distributed systems at scale.
• Expertise in one or more backend languages (e.g., Go, Python, C++, Java) and strong fundamentals in systems architecture and infrastructure.
• Proven experience leading the design of large-scale services used by 1000s (or millions) of customers.
• Passion for mentoring and elevating those around you—technical leadership is about multiplying impact.

Compensation Range:

• $227,040 - $283,800

*This is a remote role

JR: 2025-7225

#LI-Remote

#LI-SK1 

We’re looking for a Principal Engineer to drive the technical direction and architecture of Platform-as-a-Service (PaaS) at DigitalOcean. Our mission is to make deploying, scaling, and managing applications as simple and seamless as possible for developers around the world—from first deploy to internet scale.

As a Principal Engineer on the PaaS team, you’ll play a key role in designing and building the next generation of cloud-native services such as App Platform, Functions, and CI/CD. You’ll architect systems that power our global infrastructure, partner closely with engineering and product teams across the company, and mentor engineers to level up the entire organization. This is a unique opportunity to shape how developers build and ship software on a platform purpose-built for simplicity and scale.

We’re looking for someone who can span technical strategy and hands-on execution—someone who thrives on solving complex distributed problems and multiplying the impact of everyone around them.

What You’ll Do:

• Architect and guide the implementation of high-scale, reliable, and secure systems that underpin our PaaS offerings.
• Drive technical direction and make foundational decisions on system design, scalability, observability, and developer experience.
• Partner with product managers and engineering leadership to define short- and long-term roadmap priorities.
• Identify platform bottlenecks, inefficiencies, and future risks—and design solutions that proactively address them.
• Collaborate across teams to ensure seamless integration between platform services, infrastructure, and developer tools.
• Mentor engineers at all levels and contribute to a culture of technical excellence, inclusivity, and impact.
• Stay ahead of emerging technologies, patterns, and best practices in the PaaS, serverless, and cloud-native ecosystem.

Key Metrics:

• Platform availability and system performance
• Developer adoption and satisfaction
• Technical debt reduction and architectural clarity
• Engineering velocity and cross-team alignment

What You’ll Add to DigitalOcean:

• 11+ years of experience designing and building distributed systems at scale.
• Expertise in one or more backend languages (e.g., Go, Python, C++, Java) and strong fundamentals in systems architecture and infrastructure.
• Proven experience leading the design of large-scale services used by 1000s (or millions) of customers.
• Passion for mentoring and elevating those around you—technical leadership is about multiplying impact.

Compensation Range:

• $227,040 - $283,800

*This is a hybrid role

JR: 2025-7225

#LI-Hybrid 

We’re looking for a Principal Engineer to drive the technical direction and architecture of Platform-as-a-Service (PaaS) at DigitalOcean. Our mission is to make deploying, scaling, and managing applications as simple and seamless as possible for developers around the world—from first deploy to internet scale.

As a Principal Engineer on the PaaS team, you’ll play a key role in designing and building the next generation of cloud-native services such as App Platform, Functions, and CI/CD. You’ll architect systems that power our global infrastructure, partner closely with engineering and product teams across the company, and mentor engineers to level up the entire organization. This is a unique opportunity to shape how developers build and ship software on a platform purpose-built for simplicity and scale.

We’re looking for someone who can span technical strategy and hands-on execution—someone who thrives on solving complex distributed problems and multiplying the impact of everyone around them.

What You’ll Do:

• Architect and guide the implementation of high-scale, reliable, and secure systems that underpin our PaaS offerings.
• Drive technical direction and make foundational decisions on system design, scalability, observability, and developer experience.
• Partner with product managers and engineering leadership to define short- and long-term roadmap priorities.
• Identify platform bottlenecks, inefficiencies, and future risks—and design solutions that proactively address them.
• Collaborate across teams to ensure seamless integration between platform services, infrastructure, and developer tools.
• Mentor engineers at all levels and contribute to a culture of technical excellence, inclusivity, and impact.
• Stay ahead of emerging technologies, patterns, and best practices in the PaaS, serverless, and cloud-native ecosystem.

Key Metrics:

• Platform availability and system performance
• Developer adoption and satisfaction
• Technical debt reduction and architectural clarity
• Engineering velocity and cross-team alignment

What You’ll Add to DigitalOcean:

• 11+ years of experience designing and building distributed systems at scale.
• Expertise in one or more backend languages (e.g., Go, Python, C++, Java) and strong fundamentals in systems architecture and infrastructure.
• Proven experience leading the design of large-scale services used by 1000s (or millions) of customers.
• Passion for mentoring and elevating those around you—technical leadership is about multiplying impact.

Compensation Range:

• $227,040 - $283,800

*This is a remote role

JR: 2025-7225

#LI-Remote

#LI-SK1 

We’re looking for a Principal Engineer to drive the technical direction and architecture of Platform-as-a-Service (PaaS) at DigitalOcean. Our mission is to make deploying, scaling, and managing applications as simple and seamless as possible for developers around the world—from first deploy to internet scale.

As a Principal Engineer on the PaaS team, you’ll play a key role in designing and building the next generation of cloud-native services such as App Platform, Functions, and CI/CD. You’ll architect systems that power our global infrastructure, partner closely with engineering and product teams across the company, and mentor engineers to level up the entire organization. This is a unique opportunity to shape how developers build and ship software on a platform purpose-built for simplicity and scale.

We’re looking for someone who can span technical strategy and hands-on execution—someone who thrives on solving complex distributed problems and multiplying the impact of everyone around them.

What You’ll Do:

• Architect and guide the implementation of high-scale, reliable, and secure systems that underpin our PaaS offerings.
• Drive technical direction and make foundational decisions on system design, scalability, observability, and developer experience.
• Partner with product managers and engineering leadership to define short- and long-term roadmap priorities.
• Identify platform bottlenecks, inefficiencies, and future risks—and design solutions that proactively address them.
• Collaborate across teams to ensure seamless integration between platform services, infrastructure, and developer tools.
• Mentor engineers at all levels and contribute to a culture of technical excellence, inclusivity, and impact.
• Stay ahead of emerging technologies, patterns, and best practices in the PaaS, serverless, and cloud-native ecosystem.

Key Metrics:

• Platform availability and system performance
• Developer adoption and satisfaction
• Technical debt reduction and architectural clarity
• Engineering velocity and cross-team alignment

What You’ll Add to DigitalOcean:

• 11+ years of experience designing and building distributed systems at scale.
• Expertise in one or more backend languages (e.g., Go, Python, C++, Java) and strong fundamentals in systems architecture and infrastructure.
• Proven experience leading the design of large-scale services used by 1000s (or millions) of customers.
• Passion for mentoring and elevating those around you—technical leadership is about multiplying impact.

Compensation Range:

• $227,040 - $283,800

*This is a remote role

JR: 2025-7225

#LI-Remote

#LI-SK1 

We are looking for a Staff Forward Deployed Engineer who is passionate about solving complex cloud infrastructure challenges in the fast-growing AI/ML space. This is a high-impact position designed to be the "technical tip of the spear" for our most strategic AI-Native (ANE) customers.

As an FDE, you will sit at the intersection of Product Engineering and Customer Implementation. You will be embedded directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems.

You will build the tools, migration scripts, and AI starter kits that don't just solve one customer's problem, but scale the entire DigitalOcean AI Cloud ecosystem. Your mission is to accelerate "time-to-inference" in production at scale and serve as a critical feedback loop, ensuring our product roadmap is informed by the world's most demanding AI workloads.

What You’ll do:

• Embedded Customer Engineering: Partner deeply with strategic ANEs to manage complex migrations, build production-ready PoCs, and execute hands-on application builds on our GPU infrastructure.
• Build Scalable Assets & Tooling: Operationalize field learning by building migration planners, reusable systems, benchmarking frameworks, model optimization agents, and deployment automation scripts (e.g., Terraform/Pulumi) that standardize how AI workloads are deployed and tuned across DigitalOcean.
• Develop AI "Starter Kits": Create pre-built GenAI agents, solution templates, and notebooks (e.g., LangGraph, CrewAI) tailored to popular and advanced business needs.
• Drive the Product Roadmap: Act as the frontline technical voice for CPTO, surfacing architectural gaps and edge cases to inform core product development. Transition field-built tools into native product features.
• New Tech Validation: Lead the early testing and integration of emerging AI frameworks to ensure a first-class developer experience on DigitalOcean.
• Partner & GTM Enablement: Co-develop delivery frameworks with Strategic and Technical partners to enable repeatable, high-quality deployments at scale.
• Market Leadership: Produce field-tested demo kits and deployment guides that support new product releases with practical, validated assets.

Key Metrics

• Customer Adoption: Number of high-impact production workloads landed; reduction in average "time-to-production"; and Pilot-to-Production conversion rates.
• Asset & Tooling Delivery: Number of reusable tools (agents, scripts, playbooks) delivered per quarter and their subsequent adoption rate by the crossfunctional teams and customers.
• Field Enablement & Scale: Measured by the successful handoff and execution of FDE-defined deployment patterns to technical partners and the internal adoption rate of FDE playbooks across all customer-facing technical teams.
• Product Influence: Number of roadmap features or architectural changes directly attributed to FDE feedback and validated customer hypotheses.

What You’ll Add to DigitalOcean:

• AI/ML Architecture & Domain Expertise: Significant experience in the AI/ML lifecycle, specifically hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular. You have a deep understanding of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Distributed Systems & Infrastructure Mastery: Act as the subject matter expert on modern GPU families (NVIDIA/AMD) and their software stacks (CUDA, ROCm, TensorRT, OpenAI Triton). Expert proficiency in Kubernetes (K8s) and the design of distributed systems, including microservices, messaging systems, databases, and Infrastructure as Code. You can seamlessly integrate AI workloads with core cloud services (Networking, VPC, Storage, Compute).
• High-Performance Inference & Hardware Optimization: Hands-on experience with distributed inference serving frameworks (e.g., llm-d, NVIDIA Dynamo, or Ray Serve). You understand GPU-level optimization and have experience with interconnect technologies like NVlink, XGMI, or RoCE to maximize hardware efficiency.
• Software Engineering Foundation: Strong production coding skills in Python or Go with the ability to build high-quality tools, automation, and internal assets.
• Data-Driven Performance Insight: Proven ability to benchmark AI infrastructure and perform GPU utilization tuning to optimize customer ROI and workload performance.
• Consultative Execution: Proven ability to establish instant technical credibility with CTOs and Lead Architects while managing high-stakes technical migrations.

Preferred

• Experience with emerging AI orchestration frameworks like LangGraph, CrewAI, or LlamaIndex.
• A background in technical consulting or "Forward Deployed" roles at high-growth AI or infrastructure companies.
• Experience building and scaling "Center of Excellence" models or partner delivery frameworks.
• Active contributor to open-source AI projects or technical communities.

Compensation Range: 

• $195,000 - $239,000

*This is a hybrid role

JR: 2026-7748

#LI-Hybrid

Join Horace Mann and Unlock Your Financial Potential

Ready to take control of your financial future? At Horace Mann, we are here to support you in achieving your goals and making a meaningful difference in the lives of the educators who trust you. Join us and take the first step toward building a brighter, more prosperous future.

If you're ready to take the next step toward realizing your financial goals, we invite you to join our team as an Exclusive Agent. With Horace Mann’s expertise and your ambition, together, we can help you unlock your full potential.

What We Offer:

• Agency owner with an exclusive niche, defined territory — no overlap with other agents
• Competitive, performance-based [1099] compensation with an industry-leading 48-month incentive package
• Earning incentives tied to your activity and success during the first 48 months
• Quarterly production incentives for the first 48 months, rewarding consistent performance
• Dedicated Service Representative to handle client service work, allowing you to focus on building your business
• Cutting-edge technology and ongoing training to support and grow your operations
• A comprehensive multiline product portfolio to meet a variety of client needs
• Market and relationship-building programs to help you establish and grow your network

Your Path to Success:

Several factors will contribute to your success in this role, including:

• A commitment to identifying and implementing solutions that help educators achieve affordable insurance solutions and financial security
• A focus on achieving market access and building strong relationships
• The ability to confidently present products to both groups and individuals
• Active engagement in networking, community, and industry events
• A dedication to investing time and resources to ensure the long-term success of your business

What We’re Looking For:

• Strong interpersonal and business management skills to build and manage your agency
• 2-5 years of experience in the insurance and financial services industry (preferred)
• Resident State General Lines Insurance Licenses:
• Life and Health Insurance License
• Property and Casualty Insurance License
• Ability to obtain FINRA Series 6 & 63 licenses (if applicable in your region)

#LI-MH1

#VIZI#

ABOUT THIS ROLE 

LVT is at an inflection point. We've proven we can build fast. Now we need to build with precision at scale—and this role is the mechanism for that shift.

As our first Director of Technical Program Management, you will build the TPM function from the ground up and report directly to the CTO. You'll lead a lean team of IC TPMs and serve as the critical bridge between Product, Engineering, Hardware, and AI—translating ambitious roadmaps into disciplined, predictable delivery.

This role is for a builder and operator in equal measure: someone who can design the system, lead the team, and still get into the details when it matters.

This role is based out of our new Seattle co-working space or in our headquarters in American Fork, Utah. 

ROLE RESPONSIBILITIES

• Establish the TPM Function: Design and implement the organizational structure, processes, and delivery frameworks for the TPM team from the ground up.
• Strategic Integration: Act as the primary connective tissue between Product, Engineering, and Hardware Engineering, Internal and External suppliers and Joint-development partners to ensure technical dependencies are identified and managed across the entire Agentic AI and physical unit ecosystem.
• Team Leadership: Hire, mentor, and manage a team of IC Technical Program Managers. Define what "great" looks like and build toward it.
• Roadmap Orchestration: Partner with the CTO, CPO and leaders in Product/Engineering org to define program milestones and ensure resource allocation reflects LVT's highest-priority bets.
• Risk Mitigation: Proactively identify technical bottlenecks and cross-functional risks, implementing mitigation strategies before they impact delivery timelines. Manage the intersection of hardware lead times, software deployment cycles, and AI training schedules—keeping all departments synchronized and unblocked.
• Operational Excellence: Standardize reporting metrics and communication channels to provide executive leadership with real-time visibility into program health and velocity.
• Stakeholder Management: Navigate complex trade-offs between hardware lead times, software deployment cycles, and AI training schedules to keep all departments aligned including contributing to data driven and KPI oriented culture that provides transparency and actional path at all levels.
• Continuous Improvement: Evaluate and evolve LVT’s development lifecycle to increase efficiency and maintain quality as the company scales.

OUR IDEAL CANDIDATE

• Proven Leadership: 12+ years of experience in technical program management, with at least 3-5 years in a leadership role managing other TPMs.
• Hybrid Domain Expertise: Deep experience managing programs that involve both complex software (SaaS/AI) and physical hardware products; you understand the unique rhythms of both.
• Zero-to-One Mindset: You have successfully built or significantly scaled a TPM or PMO function within a fast-growing, high-tech environment.
• Technical Fluency: While you are a process expert, you possess the technical depth to engage in architectural discussions across AI, cloud, and embedded systems.
• Expert Orchestrator: You excel at translating high-level business requirements into detailed technical execution plans that engineering teams can rally behind.
• Resilient Communicator: You are comfortable navigating ambiguity and can effectively communicate complex technical status to both executive stakeholders and individual engineers.
• Data-Driven: You use metrics and tooling to drive accountability and have a proven track record of improving delivery predictability.
• Educational Background: A Bachelor’s degree in Computer Science, Engineering, or a related technical field is preferred; an MBA or PMP is a plus but secondary to proven experience.

COMPENSATION The beginning annual salary range for this role is $200,000.00 - $275,000.00 USD and is determined by location, job-related experience, and education/training. Your total earning potential is amplified by a bonus structure tied to meeting goals, and you will become an owner from day one through our employee equity program.

BENEFITS We believe you do your best work when your whole life is supported. We invest in our crew’s health, families, and financial futures with a benefits package designed to support you inside and outside the office.

LVT IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All candidates must pass a drug screening and background check upon employment. Some roles may also require passing a federal background check and fingerprinting. Must be authorized to work in the U.S. If reasonable accommodation is needed to participate in the job application or interview process, and/or to perform essential job functions, please reach out to your recruiter.

About the role

We’re hiring a Lead Data Analyst, Growth Science to use advanced science to estimate the incrementality of Marketing, Product, and Lifecycle Marketing and to improve their performance. As a senior individual contributor, you’ll lead high-impact growth initiatives through the use of media mix modeling, experimentation and quasi-experimentation, and predictive modeling.  You will play a role in defining how we estimate incrementality and how we improve performance.

The base salary offered for this role and level of experience will begin at $152,000.00 and up to $210,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Partner with and support vendor developing of our media mix model
• Design, execute, and read out results of complex experiments and quasi-experiments not supported by our A/B testing vendor
• Develop predictive models to improve performance of Marketing, Product, and Lifecycle Marketing initiatives
• Partner with Marketing, Product, and Lifecycle Marketing, to drive business outcomes
• Mentor other analysts in our team on experimentation and statistics.  Improve the team’s technical rigor

To thrive in this role, you have

• A strong orientation toward business impact — you ensure insights lead to measurable business results
• Demonstrated ability to influence senior stakeholders and guide strategic decisions in ambiguous, fast-moving environments
• PhD in statistics, economics, or similar social science with emphasis on quantitative methods
• 5+ years of experience in applied science roles, with deep expertise in predictive modeling and causal inference; Experience in FinTech and in Marketing strongly preferred
• Advanced skills in SQL and Python or R.  Experience in use of AI to accelerate and improve end-to-end process

#LI-Hybrid #LI-AM1

About the Role

We are looking for a Senior Solution Lead to join our high-performing Pre-Sales & Solution Strategy team. You will sit at the intersection of Sales, Delivery, Product, and Client Leadership, shaping the solutions we take to market and directly influencing multi-million-dollar outcomes.

This is not a “respond to the RFP and pray” role. This is a strategic, high-ownership, high-IQ seat where you:

• Shape the problem,
• Design the solution, and
• Influence how we win and deliver.

You will focus exclusively on large, complex opportunities valued at $1M+, where your problem-framing, technical depth, and storytelling materially impact win rates.

You will report to the Head of Pre-Sales & Solution Strategy and collaborate with a senior, globally distributed team across India, the US, and Europe.

Responsibilities:

What You’ll Own

1. Deal Shaping & Pre-Sales Architecture

• Translate ambiguous client goals into clear, compelling, technically credible solution architectures (Figma/Miro/Adobe)
• Lead discovery workshops, ask incisive questions, and define what a winning solution looks like—for the client and for us.
• Build decks, narratives, and pricing models that position us decisively above competitors. (Google/PP/Canva)
• Navigate seamlessly between C-level outcomes (business case, ROI, risk) and engineering deep dives (architecture, delivery approach, tradeoffs).
• Own the solution narrative end-to-end across EOI/RFI/RFP responses, orals, and executive briefings.
• Solution Estimating: Provide high level pricing estimates tied to value impact statements (ROI) for clients including software, hardware, cloud and tooling licensing for POC/MVP/Commercial models
  
  

2. Cross-Domain Solution Engineering

Own the solution across the full delivery lifecycle, spanning:

• Applications – modernization, greenfield engineering, platforms, integration
• Infrastructure – cloud infra, DevOps, SRE, infra automation
• Security – controls, IAM, governance, secure-by-design patterns
• Cloud – AWS / Azure / GCP architectures, migration strategies, optimization / FinOps
• Tooling- AI models, ISV licenses, tokens etc

You bring technical breadth with depth in at least one practice area and can credibly orchestrate end-to-end solutions.

A practical understanding of how AI cuts across these domains is essential, including:

• agentic automation across workflows and operations
• private AI stacks (RAG, governance, observability)
• model-integrated applications and copilots that augment existing systems

3. Go-To-Market & Productized Offerings

• Turn our capabilities into clear, differentiated, repeatable solutions and offerings.
• Collaborate with Product, Delivery, and Marketing to evolve our GTM playbooks and sales assets.
• Package reference architectures, POVs, and standard patterns based on real market demand.
• Capture learnings from deals and delivery to refine offerings and win themes.

4. Internal Collaboration & Leadership

• Partner closely with Sales on deal strategy, qualification, and pursuit plans.
• Align with Delivery Leaders to ensure proposed solutions are buildable, profitable, and differentiated.
• Contribute to sales enablement via reusable messaging, templates, and pricing frameworks.
• Act as a thought leader and mentor for junior solution engineers and architects.

What Success Looks Like

• You influence $6M+ in annual revenue through deals with TCV targets valued at $1M+.
• Stakeholders (Sales, Delivery, Clients) consistently rate your solutions as clear, differentiated, and client-aligned.
• Sales teams proactively pull you into strategic conversations because you “help deals close.”
• Delivery teams trust your architectures—and want to build them.
• You significantly enhance our GTM library with reusable assets, offerings, and standard patterns.
• Over time, you shape or lead 1–2 strategic offerings or solution themes for the company.

Who Thrives in This Role

We’re targeting top-tier pre-sales / solution engineering talent in India who demonstrate:

• Flexible thinking – can reshape a problem even when the client can’t articulate it clearly
• Structured reasoning – can break down complexity into options, tradeoffs, and recommendations
• Technical breadth + depth – strong grounding in apps, infra, security, and cloud, with a sharp view of how AI enhances each
• Storytelling ability – can communicate crisply to CXOs, procurement, and engineering teams
• Calm confidence – comfortable leading conversations amid ambiguity and pace
  Ownership mindset – thinks like an owner, not a vendor; cares about long-term value and delivery success

About You

The essentials:

• 7–12+ years in pre-sales engineering, solutions architecture, or consulting roles in IT services / SaaS / cloud / AI-led solutions
• Proven ability to influence or close $1M+ services deals (multi-tower or multi-year preferred)
• Hands-on understanding of services delivery, including SDLC, cloud migrations, modernization, architecture patterns, and infra operations
• Experience designing or positioning solutions with AI integration, agent workflows, automation, or model-enhanced apps (copilots, RAG systems, intelligent workflows)
• Ability to build defensible pricing models (T&M, fixed-price, managed services, outcome-based)
• Strong written and verbal communication skills in English; experienced presenting to senior stakeholders
• Comfortable working with distributed global teams across time zones

Not a must, but a plus:

• Hands-on experience with one or more major cloud providers (AWS, Azure, GCP)
• Familiarity with modern data and AI stacks (Snowflake, Databricks, vector DBs, LLM orchestration frameworks)
• Background in consulting-led environments (Big 4, global SIs, boutique consulting firms)
• Industry experience in BFSI, Retail, Manufacturing, Healthcare, or similar

At.Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

LOCATION salary range

$150,000— $180,000 USD

#LI-REMOTE 

#LI-SDL1

About the role

Anthropic’s model weights and training infrastructure are among the highest-value targets in the technology sector, facing nation-state, supply-chain interdiction, and insider threats that conventional enterprise security programs were not built to address. As Commercial Counsel, Infrastructure Security for Compute and Infrastructure at Anthropic, you’ll be the day-to-day legal partner to the Chief Security Officer’s infrastructure-security and the Governance, Risk and Compliance teams. You will own the contractual and regulatory layer of physical and facility security, hardware and supply-chain security, network security, vendor personnel and insider-risk flow-downs, and security regulatory and assurance.

You’ll work in close partnership with Anthropic teammates in Frontier, Product, Litigation, Employment, and Commercial Legal, in addition to specialized outside counsel. You will serve as the primary legal owner ensuring security requirements are in the contract before signature and that external work product aligns with Anthropic’s security posture and commercial objectives.

Responsibilities:

• Draft and negotiate security design-basis and site-hardening specifications in build-to-suit, lease, and colo agreements (perimeter, access control, CCTV, intrusion detection); guard-force statements of work, post orders, and KPI regimes; visitor, contractor, and badging policy; and security clauses in shared-campus and multi-tenant arrangements

• Own provenance, anti-tamper, and chain-of-custody warranties in silicon, ODM, and OEM paper; trusted-supplier and country-of-origin restrictions; NDAA §889/§5949 and CHIPS-Act guardrail flow-downs; BIS/EAR advanced-computing and semiconductor export-control flow-downs and end-use/end-user certifications; firmware integrity, secure-boot, and golden-image escrow terms; secure logistics; counterfeit-part and grey-market controls; and secure decommissioning and certified media-destruction terms

• Draft security schedules in carrier and fiber agreements (encryption-in-transit, route integrity, lawful-intercept handling), and security obligations in peering agreements

• Set background-screening, training, and badge-revocation requirements for vendor and contractor personnel with site or hardware access, and flow Anthropic personnel-security standards into guard-force, security-integrator, and EPC vendor MSAs

• Support CFIUS and outbound-investment screening on infrastructure vendors and sites, provide NIST/ISO/SOC 2 physical-control evidence for customer and auditor assurance in partnership with security teams; and support security representations in customer contracts that reference physical infrastructure with Commercial Legal

• Work closely with specialized outside counsel, ensuring their work product aligns with Anthropic’s security and commercial objectives

• Build the function: develop and maintain the security-schedule library, design-basis templates, advise on vendor security questionnaire templates, and negotiation playbooks; train Procurement, Datacenter, and Network teams to apply them at scale

• Serve as direct counsel to the CSO’s infrastructure-security organization, coordinating with Product Legal and Litigation on incident response, threat intelligence, law-enforcement and intelligence-community engagement, insider-threat governance, and model-weight security policy under Anthropic’s Responsible Scaling Policy

• Escalate novel structures or terms that create downstream risk for Anthropic’s security posture or operational flexibility; ensure security requirements accommodate AI-specific threats including hardware tamper, supply-chain interdiction, and high-value-target facility risk

• Monitor and assess the evolving regulatory landscape affecting security and data protection, identifying higher-risk obligations for the business and partnering with security to operationalize them through policies, controls, and compliance programs

• Advise on risk assessments, risk acceptance decisions, and reporting to leadership and the board; and review remediation commitments arising from assessments, customer audits and regulator inquiries. 

Minimum qualifications:

• JD and active membership in at least one U.S. state bar

• Fluency in security design-basis specifications, guard-force and access-control contracting, and how security schedules interact with build-to-suit, colo, procurement, and carrier agreements

• Experience with NDAA §889/§5949, CHIPS-Act guardrails, CFIUS/outbound-investment screening, and trusted-supplier or country-of-origin programs

• Comfort with NIST, ISO 27001, and SOC 2 physical-control frameworks and the evidence and attestation process that supports customer and auditor assurance

• Ability to coordinate effectively with multiple internal legal teams, and specialized outside counsel while maintaining strategic direction 

• Strong judgment about when contractual security terms create downstream risk for Anthropic’s security posture, audit position, or operational flexibility

• Effective collaboration skills for working with the CSO’s organization, procurement, datacenter, and network teams

• Communication skills that translate security and supply-chain-integrity concepts into clear risk assessments for business stakeholders

• Genuine interest in infrastructure security and appreciation for why physical, hardware, and network security is mission-critical for frontier AI

Preferred qualifications:

• At least 10-12 years of relevant legal experience with meaningful exposure to physical and facility security contracting, hardware and supply-chain security, network security schedules, or security regulatory and assurance work for critical infrastructure

• In-house experience at cloud service providers, hyperscalers, defense and aerospace primes, telecom carriers, utilities, semiconductor companies, or datacenter operators supporting physical-security, supply-chain-security, or security-assurance programs; or U.S. government experience at DoD, DHS/CISA, BIS, or CFIUS staff

• Experience at large technology companies with first-party datacenter or hardware programs supporting security contracting from the buy side

• Law firm experience at practices with national-security, supply-chain, or critical-infrastructure specialization, particularly those who have worked on NDAA §889, CFIUS, or trusted-supplier matters

• Prior involvement in transactions requiring sophisticated understanding of secure logistics, chain-of-custody, firmware integrity, and certified media destruction

• Familiarity with CCTV/biometrics privacy regimes, executive-protection contracting, and the contractual layer of insider-risk programs

• Ability to obtain and maintain a U.S. security clearance 

Role-specific policy: For this role, we expect staff to be able to work from our San Francisco, Seattle, Washington D.C., or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.

The impact you'll be contributing to Moloco:

Creatives are one of the highest-leverage levers in Moloco Ads: they shape what users see, how they interact, and ultimately how much value advertisers extract from our platform. As formats grow more complex (video, playables, rich HTML) and surfaces diversify across exchanges, SDK, and new inventory types, our creative systems must do more than just serve assets — they must learn, adapt, and guide advertisers toward better outcomes.

This space sits at the intersection of ML/bidding, supply, and UI/UX for advertisers. Strong product decisions here directly influence company toplines, ROAS and advertiser retention. At the same time, weak creative strategy can quietly erode performance, create operational noise, and diminish trust in our optimization systems. We need a Staff Product Data Scientist who can bring structure, rigor, and long-term thinking to this inherently noisy problem space.

The person will be the analytical and product thought partner for the Creatives team, owning the data narrative across ideation, launch, and iteration of creative features and strategies. This is not a “support” role; it is a co-owner of the creative roadmap.

Here’s what you’ll be working on:

This role is critical to ensuring that Moloco’s creative systems become a long-term competitive advantage, not just a collection of formats and features.

• Be recognized as a thought leader in the creative domain, someone whose perspective is actively sought when making high-stakes product calls. For example, influence which creative problems we choose to solve, not just how we measure the outcomes.
• Establish a trusted, repeatable framework for measuring creative impact that the organization rallies around. This will enable PM/ENG to ship creative features faster and with more confidence, backed by well-designed experiments and clear success criteria.
• Reduce ad-hoc fire drills by building durable monitoring, diagnostics, and documentation that make creative performance and adoption more transparent.

Minimum Qualifications

• Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Physics) or equivalent practical experience.
• 8+ years of experience (or PhD + 6 YoE) in data science, product analytics, or a closely related quantitative field, including significant time as a product-facing IC.
• Proven track record of partnering with Product and Engineering to shape roadmaps, define success metrics, and drive decisions through data.
• Demonstrated ability to operate with high ownership and autonomy, including scoping ambiguous problems and driving them to closure.
• Comfort working across time zones and with distributed teams, using strong async communication and documentation habits.

Preferred Qualifications

• Graduate or PhD degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Physics) or equivalent practical experience with 10+ years of experience in related fields. 
• Prior experience in ad tech, marketing science, or related domains where creatives, auctions, or optimization systems are central to performance.
• Hands-on experience with creative analytics (e.g., format benchmarking, asset-level performance analysis, interaction or engagement modeling).
• Experience collaborating closely with ML teams to design, evaluate, and iterate on model features and policies.
• Excellent communication skills: ability to synthesize complex analytical findings into simple, actionable narratives for technical and non-technical audiences.

ABOUT THE TEAM:
The Corporate Technical team is responsible for building and optimizing the many systems and internal technologies that enable Anduril to accomplish its mission. Anduril’s supply chain, accounting, sales & growth, field maintenance, manufacturing, and many more teams rely on the technology built and maintained by us. We call this system-of-systems “CorpOS”. Within CorpOS lies a suite of digital software solutions aimed at solving the problems for our growth, finance, people teams that interplays heavily with our ArsenalOS solutions that enable Anduril’s engineering, production and sustainment departments.

ABOUT THE JOB:
We are seeking a highly skilled Order to Cash (OTC) Product Manager to join our team. You will be responsible for designing, developing, implementing, and driving adoption of our ERP’s capabilities to ensure Anduril is successful for the near and long term. You will collaborate with cross-functional teams spanning engineering, supply chain, operations, manufacturing, accounting, finance, and more to understand the business needs, design solutions, and ensure our systems are aligned with the company's goals and objectives.

WHAT YOU'LL DO:

• Empower Order to Cash (Customer Inquiries/Quotes, Pricing, Order Mgmt & Fulfillment, Invoice Mgmt & Payment Processing) processes across the enterprise and enable growth through differentiated products.
• Understand E2E business processes and enabling business systems products to set roadmap strategy for continuous improvement and changing customer needs.
• Act as an advocate for our OTC stakeholders and leverage customer insights to build out product vision, strategy and roadmap.
• Translate your OTC roadmap into actionable plans by crafting comprehensive capability/feature descriptions and user stories that are digestible by business and tech teams.
• Influence and negotiate prioritized delivery across various technology product teams to deliver continuous improvement/next gen products to our Order to Cash value stream.
• Act as a business systems product evangelist and thought leader by understanding product capabilities across our ecosystem, aligning our business partners around best practices and delivering fit for purpose value stream solutions.
• Analyze quantitative and qualitative data to identify root cause of issues to determine the opportunity size and business impact.
• Partner with vendors and third-party service providers to integrate system tools and product solutions into the company's ecosystem.
• Collaborate with internal product development teams to build out custom solutions if we decide to build rather than buy.
• Develop total cost of ownership (TCO) for each product/tool, drive cost-benefit, return on investment, and NPV analyses to support decision making.
• Contribute to business systems product or technical knowledge assets by documenting all existing/new features, capabilities of our value-stream solutions.
• Support and deliver enterprise model product training to SMEs as needed.

REQUIRED QUALIFICATIONS:

• 10+ years of experience in designing, developing, and implementing business processes ERP solutions at manufacturing companies (Aerospace & Defense industry preferred).
• Structured Communication – our product manager must communicate across a broad range of functions and within several levels in the organization.
• Business Acumen – our product manager must have a deep understanding of Order to Cash, Logistics as well as a fundamental understanding of, Manufacturing, Operations and Finance/Accounting functions.
• Problem Solving – our product manager will formulate recommendations and strategies using fact-based analysis and proven methodologies, such as systems thinking, five whys, decision trees, etc.
• Proven track record of partnering with stakeholders while employing a high degree of collaboration and influence.
• Excellent business and technical communication skills, both written and oral, and the ability to convey messages in a persuasive manner and at the appropriate level of detail.
• Deep and broad expertise with cloud-based ERPs and CRMs (Oracle Fusion, SAP S4 Hana, NetSuite, Salesforce)
• U.S. Person status is required as this position needs to access export-controlled data.
• Ability to be in-office full time and willingness to travel up to 25-50% to visit other sites.

About the role

Anthropic’s mission requires the ability to defend our compute resources against all types of adversaries. Meeting that bar requires more than trustworthy hardware, it requires a software stack to consume the trust primitives the platform produces: device identities, attestation evidence, integrity manifests, DICE chains, topology claims, debug-state assertions, encryption posture, etc.

This role makes sure that all the security-relevant system state that needs to be attested to is properly accounted for in a robust and comprehensive manner, and used appropriately for authorization decisions in production.

Key responsibilities

You will be the technical owner of Anthropic's platform trust integration surface, the host-side stack that ingests trust primitives produced by hardware and converts them into production gates for workloads. Concretely:

• Attestation verification pipeline. Consume trusted reference integrity manifests for every component in the TCB. Validate measurements end-to-end, surface drift, and gate workload placement on attestation outcomes.
• DICE chain consumption. Integrate with iRoT-rooted DICE chains where exposed, and define what Anthropic requires of partners where they aren't yet.
• Dynamic root-of-trust and late-launch integration. Working with other security engineers to ensure Anthropic's host software stack securely leverages DRTM primitives, and work with silicon vendors and firmware maintainers to address gaps in relevant technologies.
• Interconnect topology validation. Build the tooling to validate interconnect topology claims for multi-node workloads and catch deviations before they reach production.
• CPU and interconnect encryption posture. Validate that CPU and interconnect encryption are enabled and attestable on a given system; own Anthropic's position on performance tradeoffs and multi-node attestation integration work.
• Debug-disable verification. Define automated mechanisms to prove hardware debug mechanisms are disabled in production.
• Ensure devices/peripherals are appropriately covered. Accelerators are an essential component of AI workloads. We must ensure that platform trust extends to all relevant components, and the channels between them, too.

This is an IC engineering role not a PM role. You will write code, own services, and be accountable for the correctness of Anthropic's platform trust pipeline in production. You'll operate at the interface between Platform Security Engineering and the rest of Anthropic.

Minimum qualifications

• Deep systems software engineering experience with kernel, firmware, or low-level platform code.
• Understanding of hardware as encountered in modern server platforms, and implications of trust relationships within.
• Working knowledge of modern attestation primitives: RoTs, TPMs, DICE, SPDM, measured boot, DRTM across major CPU architectures, reference integrity manifest best practices, remote attestation protocols and design patterns.
• Ability to read vendor documentation critically and identify gaps between what the spec claims and what can actually be relied on in production.
• Strong ownership disposition: comfortable being the one accountable for a capability landing, including when it requires pushing partners.
• Supply-chain attestation work (SPDM, TCG provenance, pre-delivery identity bootstrapping beyond TOFU).
• Familiarity with relevant standards from TCG (TPM, DICE, etc.), IETF (RATS WG, SEAT WG, etc.), DMTF (SPDM, etc.), etc.
• History of shipping security-critical code in production at scale.

The Strategic Finance team oversees the company's financial well-being while supporting operational and business planning in a dynamic, fast-paced environment. We work hard to ensure growth is accurately projected and managed, and that our financial results are appropriately accounted for. We provide financial analysis to determine critical strategic and operational decisions within a rapidly growing organization. We are looking for a senior Deal Desk analyst to join our team to support our growing commercial selling motion through financial analysis and guidance on standard and non-standard commercial agreements.

This position requires a nimble and curious professional capable of managing multiple priorities in a dynamic, rapidly growing, and fluid organization. You must be highly analytical, organized, and skilled at communication and problem-solving. This role will work to enforce and help define the process behind our discount and credit policies, appropriately structuring deals in alignment with DigitalOcean’s financial goals.

What You’ll Be Doing:

• Build trusted cross-functional relationships with Sales, Revenue Operations, Legal and Revenue Accounting and Strategic Finance; proactively identify opportunities for process improvements.
• Partner with Sales and Revenue Operations to structure commercially sound deals by evaluating tradeoffs across price, term, volume, and risk, aligned with financial guidelines.
• Lead financial modeling and evaluation of deal structures, ensuring alignment with margin targets, ARR goals, and long-term profitability.
• Enforce approval frameworks and policies; manage escalations and exceptions for strategic deals.
• Design and own discount reporting and cadence analytics to enable organization wide visibility into trends in the discounting program.
• Work alongside R&D Finance and D&A teams to refine customer and product-level margin profiles.

What We’ll Expect From You:

• High standards of accuracy and precision; extremely detail-oriented, highly organized and resourceful.
• Strong financial modeling, analytical and problem-solving skills with the ability to quickly grasp and apply analytical concepts.
• 2+ years of experience in investment banking, consulting, FP&A/ sales finance, deal management, sales operations, or business operations.
• Demonstrated ability to work within fixed timeframes and meet deadlines consistently.
• Proactive communicator with excellent verbal and written skills.
• Strong Excel and Google Sheets skills.
• Experience with Salesforce, Hubspot or other CRM tools desired.
• Experience with data analysis programs like Looker and Tableau is a plus.
• Bachelor’s degree required.

Compensation Range: 

• $93,600.00 - $117,000.00

*This is a remote role

JR: 2026-7739

#LI-Remote

The Strategic Finance team oversees the company's financial well-being while supporting operational and business planning in a dynamic, fast-paced environment. We work hard to ensure growth is accurately projected and managed, and that our financial results are appropriately accounted for. We provide financial analysis to determine critical strategic and operational decisions within a rapidly growing organization. We are looking for a senior Deal Desk analyst to join our team to support our growing commercial selling motion through financial analysis and guidance on standard and non-standard commercial agreements.

This position requires a nimble and curious professional capable of managing multiple priorities in a dynamic, rapidly growing, and fluid organization. You must be highly analytical, organized, and skilled at communication and problem-solving. This role will work to enforce and help define the process behind our discount and credit policies, appropriately structuring deals in alignment with DigitalOcean’s financial goals.

What You’ll Be Doing:

• Build trusted cross-functional relationships with Sales, Revenue Operations, Legal and Revenue Accounting and Strategic Finance; proactively identify opportunities for process improvements.
• Partner with Sales and Revenue Operations to structure commercially sound deals by evaluating tradeoffs across price, term, volume, and risk, aligned with financial guidelines.
• Lead financial modeling and evaluation of deal structures, ensuring alignment with margin targets, ARR goals, and long-term profitability.
• Enforce approval frameworks and policies; manage escalations and exceptions for strategic deals.
• Design and own discount reporting and cadence analytics to enable organization wide visibility into trends in the discounting program.
• Work alongside R&D Finance and D&A teams to refine customer and product-level margin profiles.

What We’ll Expect From You:

• High standards of accuracy and precision; extremely detail-oriented, highly organized and resourceful.
• Strong financial modeling, analytical and problem-solving skills with the ability to quickly grasp and apply analytical concepts.
• 2+ years of experience in investment banking, consulting, FP&A/ sales finance, deal management, sales operations, or business operations.
• Demonstrated ability to work within fixed timeframes and meet deadlines consistently.
• Proactive communicator with excellent verbal and written skills.
• Strong Excel and Google Sheets skills.
• Experience with Salesforce, Hubspot or other CRM tools desired.
• Experience with data analysis programs like Looker and Tableau is a plus.
• Bachelor’s degree required.

Compensation Range: 

• $93,600.00 - $117,000.00

*This is a remote role

JR: 2026-7739

#LI-Remote

The Strategic Finance team oversees the company's financial well-being while supporting operational and business planning in a dynamic, fast-paced environment. We work hard to ensure growth is accurately projected and managed, and that our financial results are appropriately accounted for. We provide financial analysis to determine critical strategic and operational decisions within a rapidly growing organization. We are looking for a senior Deal Desk analyst to join our team to support our growing commercial selling motion through financial analysis and guidance on standard and non-standard commercial agreements.

This position requires a nimble and curious professional capable of managing multiple priorities in a dynamic, rapidly growing, and fluid organization. You must be highly analytical, organized, and skilled at communication and problem-solving. This role will work to enforce and help define the process behind our discount and credit policies, appropriately structuring deals in alignment with DigitalOcean’s financial goals.

What You’ll Be Doing:

• Build trusted cross-functional relationships with Sales, Revenue Operations, Legal and Revenue Accounting and Strategic Finance; proactively identify opportunities for process improvements.
• Partner with Sales and Revenue Operations to structure commercially sound deals by evaluating tradeoffs across price, term, volume, and risk, aligned with financial guidelines.
• Lead financial modeling and evaluation of deal structures, ensuring alignment with margin targets, ARR goals, and long-term profitability.
• Enforce approval frameworks and policies; manage escalations and exceptions for strategic deals.
• Design and own discount reporting and cadence analytics to enable organization wide visibility into trends in the discounting program.
• Work alongside R&D Finance and D&A teams to refine customer and product-level margin profiles.

What We’ll Expect From You:

• High standards of accuracy and precision; extremely detail-oriented, highly organized and resourceful.
• Strong financial modeling, analytical and problem-solving skills with the ability to quickly grasp and apply analytical concepts.
• 2+ years of experience in investment banking, consulting, FP&A/ sales finance, deal management, sales operations, or business operations.
• Demonstrated ability to work within fixed timeframes and meet deadlines consistently.
• Proactive communicator with excellent verbal and written skills.
• Strong Excel and Google Sheets skills.
• Experience with Salesforce, Hubspot or other CRM tools desired.
• Experience with data analysis programs like Looker and Tableau is a plus.
• Bachelor’s degree required.

Compensation Range: 

• $93,600.00 - $117,000.00

*This is a remote role

JR: 2026-7739

#LI-Remote

The Strategic Finance team oversees the company's financial well-being while supporting operational and business planning in a dynamic, fast-paced environment. We work hard to ensure growth is accurately projected and managed, and that our financial results are appropriately accounted for. We provide financial analysis to determine critical strategic and operational decisions within a rapidly growing organization. We are looking for a senior Deal Desk analyst to join our team to support our growing commercial selling motion through financial analysis and guidance on standard and non-standard commercial agreements.

This position requires a nimble and curious professional capable of managing multiple priorities in a dynamic, rapidly growing, and fluid organization. You must be highly analytical, organized, and skilled at communication and problem-solving. This role will work to enforce and help define the process behind our discount and credit policies, appropriately structuring deals in alignment with DigitalOcean’s financial goals.

What You’ll Be Doing:

• Build trusted cross-functional relationships with Sales, Revenue Operations, Legal and Revenue Accounting and Strategic Finance; proactively identify opportunities for process improvements.
• Partner with Sales and Revenue Operations to structure commercially sound deals by evaluating tradeoffs across price, term, volume, and risk, aligned with financial guidelines.
• Lead financial modeling and evaluation of deal structures, ensuring alignment with margin targets, ARR goals, and long-term profitability.
• Enforce approval frameworks and policies; manage escalations and exceptions for strategic deals.
• Design and own discount reporting and cadence analytics to enable organization wide visibility into trends in the discounting program.
• Work alongside R&D Finance and D&A teams to refine customer and product-level margin profiles.

What We’ll Expect From You:

• High standards of accuracy and precision; extremely detail-oriented, highly organized and resourceful.
• Strong financial modeling, analytical and problem-solving skills with the ability to quickly grasp and apply analytical concepts.
• 2+ years of experience in investment banking, consulting, FP&A/ sales finance, deal management, sales operations, or business operations.
• Demonstrated ability to work within fixed timeframes and meet deadlines consistently.
• Proactive communicator with excellent verbal and written skills.
• Strong Excel and Google Sheets skills.
• Experience with Salesforce, Hubspot or other CRM tools desired.
• Experience with data analysis programs like Looker and Tableau is a plus.
• Bachelor’s degree required.

Compensation Range: 

• $93,600.00 - $117,000.00

*This is a remote role

JR: 2026-7739

#LI-Remote

The Strategic Finance team oversees the company's financial well-being while supporting operational and business planning in a dynamic, fast-paced environment. We work hard to ensure growth is accurately projected and managed, and that our financial results are appropriately accounted for. We provide financial analysis to determine critical strategic and operational decisions within a rapidly growing organization. We are looking for a senior Deal Desk analyst to join our team to support our growing commercial selling motion through financial analysis and guidance on standard and non-standard commercial agreements.

This position requires a nimble and curious professional capable of managing multiple priorities in a dynamic, rapidly growing, and fluid organization. You must be highly analytical, organized, and skilled at communication and problem-solving. This role will work to enforce and help define the process behind our discount and credit policies, appropriately structuring deals in alignment with DigitalOcean’s financial goals.

What You’ll Be Doing:

• Build trusted cross-functional relationships with Sales, Revenue Operations, Legal and Revenue Accounting and Strategic Finance; proactively identify opportunities for process improvements.
• Partner with Sales and Revenue Operations to structure commercially sound deals by evaluating tradeoffs across price, term, volume, and risk, aligned with financial guidelines.
• Lead financial modeling and evaluation of deal structures, ensuring alignment with margin targets, ARR goals, and long-term profitability.
• Enforce approval frameworks and policies; manage escalations and exceptions for strategic deals.
• Design and own discount reporting and cadence analytics to enable organization wide visibility into trends in the discounting program.
• Work alongside R&D Finance and D&A teams to refine customer and product-level margin profiles.

What We’ll Expect From You:

• High standards of accuracy and precision; extremely detail-oriented, highly organized and resourceful.
• Strong financial modeling, analytical and problem-solving skills with the ability to quickly grasp and apply analytical concepts.
• 2+ years of experience in investment banking, consulting, FP&A/ sales finance, deal management, sales operations, or business operations.
• Demonstrated ability to work within fixed timeframes and meet deadlines consistently.
• Proactive communicator with excellent verbal and written skills.
• Strong Excel and Google Sheets skills.
• Experience with Salesforce, Hubspot or other CRM tools desired.
• Experience with data analysis programs like Looker and Tableau is a plus.
• Bachelor’s degree required.

Compensation Range: 

• $93,600.00 - $117,000.00

*This is a remote role

JR: 2026-7739

#LI-Remote

We are looking for a Manager, Customer Success Engineering (AI & Cloud Support) who is passionate about delivering exceptional support experiences and building high-performing teams.

As a Manager, CSE (AI & Cloud Support) at DigitalOcean, you will operate as a Support Manager leading a team of Customer Success Engineers (CSEs) supporting strategic customers across cloud infrastructure and emerging AI/ML workloads. Reporting to the Senior Manager of Customer Success Engineering, you will own day-to-day support operations, team performance, and customer experience outcomes.

This role is focused on driving operational excellence while building strong technical depth within the team across AI, GPUs, Kubernetes, Databases and core cloud offerings. You will play a key role in ensuring consistent support coverage, developing SMEs, and partnering cross-functionally with Product and Engineering to improve both customer experience and product quality.

The ideal candidate brings a deep understanding of cloud and AI/ML ecosystems, including machine learning operations (MLOps), and enterprise support, combined with a passion for innovation and automation, and a proven ability to lead teams in delivering “white-glove” experiences for strategic customers.

What You’ll Do:

Team Leadership & Development

• Lead, hire, train, mentor and develop a high-performing team of Customer Success Engineers (CSEs), driving accountability, performance, and career growth
• Establish performance metrics (KPIs/SLAs) and conduct regular 1:1s, performance reviews, and career development planning.
• Own end-to-end support operations, including queue management, escalations, and shift planning to ensure consistent 24x7 coverage.
• Drive improvements in key support metrics such as CSAT, response times, resolution times, and overall support quality.
• Build and strengthen technical expertise within the team across core areas such as Kubernetes (DOKS), Databases, Compute, and AI/ML workloads.
  
  

Strategic Customer Support

• Act as the ultimate point of technical escalation for our largest, most strategic enterprise customers across Cloud and AI/ML workloads, stepping in to manage critical incidents and high-severity (Sev1/Sev2) issues.
• Design and implement customized support plans, SLAs, and escalation pathways tailored to the needs of strategic accounts.
• Partner closely with Technical Account Managers (TAMs), Growth Account Managers (GAM) to conduct Executive Business Reviews (EBRs) and ensure customers are maximizing the value of our Cloud and AI/ML products.
• Proactively identify risks and opportunities within strategic accounts to improve customer experience, adoption, and retention.

Technical & Cross-Functional Operations

• Serve as the Voice of the Customer (VoC) to Product and Engineering teams, synthesizing support data to advocate for bug fixes, feature requests, and UX improvements.
• Own and continuously improve escalation protocols between AI/ML Support and CloudOps, Infrastructure Engineering, and Product — including Jira escalation routing, Sev1 bridge management, and post-incident documentation.
•  Own the development and maintenance of SOPs, escalation runbooks, HVC support playbooks, and knowledge base content — treating documentation infrastructure as a core operational lever for team scalability.
• Contribute to the vision for AI and automation within support—building intelligent tooling and driving the team toward an automation-first model to improve efficiency, scalability, and customer experience.
• Foster a culture of continuous learning, ensuring the team stays ahead of evolving cloud technologies, AI/ML frameworks, and industry trends.

Key Metrics:

• Customer Satisfaction (CSAT) for strategic accounts
• Time to Response and Resolution (TTR) for strategic customers
• Tier 1 resolution rate vs. escalation rate
• Time-to-escalation and engineering handoff SLA adherence
• SLA adherence and escalation response times
• Support productivity and quality (QA scores)
• Post-incident documentation completion rate

What You’ll Add to DigitalOcean:

• Experience: 5+ years of experience in Technical Support, Customer Success, or Technical Account Management within B2B SaaS, Cloud, or AI/ML environments ideally including experience supporting AI-native, high-growth companies with 24x7 production dependencies on GPU infrastructure.
• Leadership: 2+ years of people management experience leading technical, customer-facing teams, preferably in a high-growth, post-acquisition, or rapidly scaling environment.
• Technical Domain Expertise: Solid understanding of AI/ML concepts, including Generative AI, Large Language Models (LLMs), natural language processing (NLP), and MLOps. Deep familiarity with GPU infrastructure (NVIDIA H100/H200, bare metal GPU provisioning) and AI inference workloads is strongly preferred.
• Coding/Integration: Proficiency in reading and debugging code (Python preferred) and troubleshooting RESTful APIs and cloud architecture.
• Communication: Excellent verbal and written communication skills, with the ability to translate complex technical or AI concepts for diverse audiences OR to both highly technical engineers and non-technical business executives.
• Problem-Solving: Proven ability to remain calm under pressure and de-escalate high-stakes situations with enterprise clients.

Preferred Qualifications:

• Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and AI toolchains (e.g., LangChain, Hugging Face).
• Experience with major cloud platforms (AWS, Google Cloud, Azure) and their native AI/ML services.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• ITIL or equivalent service management certification

Compensation Range: 

• $125,000 - $153,000

*This is a remote role

JR: 2026-7692

#LI-Remote

Senior Full-Stack Engineer II - AI/MLDo the best work of your career at DigitalOcean. Join a high‐caliber community building the simplest, most scalable cloud on the market. If you think big, move fast, and thrive in a bold, high‐growth environment, you’ll fit right in. We win together—learning, having fun, and delivering real impact for the dreamers and builders we serve.We’re hiring a Senior Full-Stack Engineer to build end‐to‐end features that make accelerated compute simple and accessible for everyone.The AI Application Platform team builds AI and agentic applications across modalities—LLMs, images, audio, and video—on top of DigitalOcean’s high‐performance inference engine. Our mission is to keep the latest state‐of‐the‐art models available at peak performance. We’re moving fast to build the next generation of AI applications and platform workflows at DigitalOcean.

What You’ll Be Doing:

• Own a technical area by providing technical leadership for a teamDrive large cross-functional projects independently to completion
• Work primarily in Python, and Go to build and scale AI application services such as ADK, agentic tools
• Maintain and develop APIs, MCPs and SDKs
• Collaborate on design and UXBuild and scale products to achieve operational excellenceIndependently ship product features from planning to launch to maintenance with high autonomy
• Partner with SRE/DevOps on reliability, observability, incident response, and deployment workflows
• Collaborate with other engineers to find elegant architectures and solutions

What You’ll Add to DigitalOcean:

• Own a technical area by providing technical leadership for a team
• Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, tracing, insights, language modeling, computer vision)
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
• 8+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
• Demonstrated design and UX sensibilities, especially for technical teamsKnowledge of API standards including REST, Python, or GoDesign of cloud ready systems and architectures.

Compensation Range: 

• $184,000 - $231,000

*This is a hybrid role

JR: 2026-7617

#LI-Hybrid

We want people who are passionate about helping our customers and partners realize the benefits of DigitalOcean’s cloud infrastructure.

DigitalOcean is at a pivotal moment where the intersection of high-performance hardware and cloud accessibility is defining the next decade of innovation. We aren’t just building a cloud; we are building a gateway for the next generation of startups to harness the power of AI and intensive computing. This is your chance to be the architect of our most strategic alliances, sitting at the heart of the Silicon Valley ecosystem to bridge the gap between world-class silicon providers and the builders who use them.

We are looking for a Strategic Relationship Builder to act as our primary envoy to the world’s leading AI-focused System Integrators (SIs) aligned with mid-market and AI Native companies. Reporting to the VP, Channel Partnerships, you will be the lead navigator in embedding DigitalOcean into strategic partnership programs. Your mission is to ensure that as the world scales its data center needs, DigitalOcean is the partner of choice.

What You’ll Do

• Architect strategic alliances with key system integrators, MSPs and resellers partners to ensure DigitalOcean is deeply integrated into their go-to-market ecosystems.
• Navigate complex organizational structures within partner companies to identify and influence the right decision-makers for long-term program placement.
• Translate high-level cloud infrastructure trends into actionable partnership strategies that solve real-world data center and scalability challenges.
• Lead cross-functional workstreams between internal product teams and external partner organizations to deliver co-branded value and technical synergy.
• Drive the execution of partnership milestones by breaking down multi-quarter goals into clear, actionable deliverables that provide mutual value to all stakeholders.
• Collaborate with senior leadership to provide insights on industry trends, ensuring our partnership roadmap stays ahead of market shifts in the data center space.
• Mentor peers and internal teams on partnership best practices, fostering a culture of collaborative excellence across the organization.

What You’ll Add to DigitalOcean

• Technical Breadth: You bring a deep understanding of the cloud and infrastructure industry, specifically regarding data center operations. You have a proven track record of building and managing partnerships with strategic System Integrators, MSPs and Resellers partners.
• The "Human" Element: You are an expert in Relational Intelligence—you can speak the language of engineers and executives alike, building trust and psychological safety across organizational boundaries.
• Growth Mindset: You possess a natural desire to learn, an appetite for feedback, and a "leave it better than you found it" attitude that thrives in a high-performance environment.

Compensation Range: 

• Base $136,000 - $170,000 / OTE target $180,000 - $226,000

*This is a remote role

JR: 2026-7632

#LI-Remote

We want people who are passionate about solving complex cloud infrastructure challenges for our customers.

We are looking for a Solutions Architect with expertise in cloud infrastructure to support the success and retention of DigitalOcean's high-value customers. Reporting to the Manager of Solutions Architecture, you will work directly with Customer Success, Sales, and Support functions to retain and grow DigitalOcean’s largest and fastest growing customers. You will be the technical subject matter expert on DigitalOcean’s portfolio, advising on best practices and guiding customers to the optimal solution to meet their business objectives. You will work closely with other functions within DigitalOcean such as Product, Engineering, and Operations to ensure the needs and insights from the local markets are funneled appropriately back into DigitalOcean's products and services.

This is an amazing growth opportunity for a highly motivated individual to establish and expand our presence within the region. Technical depth, excellent communication skills, and a self-starter mentality are needed.

 What You Will Be Doing: 

As a Senior Solutions Architect II, you will serve as a technical partner to the success and sales teams. You will perform architecture reviews, proof of concepts, demos, uncover customer technical needs, and demonstrate DigitalOcean's value proposition. Working with AEs, GAM and TAM counterparts, you'll help retain large customers and expand their workloads on DigitalOcean.

• Develop deep expertise in the DigitalOcean product portfolio, the evolving cloud landscape, and AI/ML platforms.
• Advocate for customers by providing feedback to product teams, overcoming adoption blockers, and driving new feature development.
• Offer personalized onboarding assistance and guide customers through their cloud journey, resolving technical blockers.
• Design and review architecture tailored to specific business use cases, ensuring optimal solutions for customers.
• Implement and oversee infrastructure management best practices to secure and optimize cloud resources.
• Identify opportunities for cost reduction and performance improvement, helping customers make data-driven cloud optimization decisions.
• Conduct technical consultation sessions, workshops, and training for customers to empower them in managing cloud infrastructure.
• Partner with Growth Account Managers and Customer Success Managers to create success plans that ensure customer retention, expansion, and satisfaction.
• Provide regular presentations articulating product benefits, functionality, and technical solutions.
• Demonstrate strong expertise in AI/ML frameworks like TensorFlow and PyTorch and usage of platforms like Hugging Face, with experience deploying and fine-tuning LLMs and GenAI models.
• Optimize GPU workloads using CUDA or TensorRT and build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes and NFS.
• Design AI solutions tailored to business needs, manage data pipelines, and integrate databases.
• Liaise with Engineering and Support teams to resolve escalations and growth obstacles in a timely fashion.
• Identify and drive process improvement opportunities and promote technical best practices across the organization.
• Contribute to internal and external documentation, such as "The Navigator’s Guide to DO."
• Build tools to enhance the experience of Premium Support customers and improve platform usability.
• Demonstrate proficiency in DevOps tools like Docker, Terraform, and CI/CD pipelines.
• Leverage expertise in Kubernetes, Managed DBaaS, and the DigitalOcean GenAI Platform.
• Work both independently and collaboratively with a global team of Solutions Architects, Customer Success Managers, and Account Managers.

What We'll Expect From You:

• Proven professional experience with cloud infrastructure, AI/ML platforms, or equivalent education.
• Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch) and familiarity with platforms like Hugging Face.
• Experience deploying and fine-tuning LLMs (e.g., DeepSeek, Llama, Claude, GPT-4) and GenAI models.
• Deep knowledge of Linux, distributed systems, Kubernetes, NFS, Object Storage, and GPU optimization techniques (e.g., CUDA, TensorRT).
• Hands-on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment.
• Programming/development experience, particularly in building AI-powered applications (e.g., recommendation systems, chatbots).
• Experience working in a post-sales or technical consultant role with a focus on AI/ML and cloud solutions.
• Knowledge of provisioning, deployment strategies, and tools like Terraform, Kubernetes, and Docker.
• Passionate about customer experience and leveraging AI/ML to solve complex business problems.
• Track record of developing successful technical solutions, including AI/ML use cases, to address customer challenges.
• Ability to balance the demands of multiple stakeholders, define priorities, and set appropriate expectations.
• Strong understanding of AI/ML data pipelines, cloud-native databases, and integration strategies.
• Passionate about technology, open source projects, and applying cutting-edge AI/ML innovations.
• Strong communication skills, with the ability to explain technical AI/ML concepts in clear and concise terms.
• Quickly learn DigitalOcean systems and adapt to rapid changes in cloud and AI/ML trends.
• Fluency in English.
• Highly motivated with a self-starter mentality, ready to tackle AI/ML challenges head-on.

Extra Credit: 

• Cloud certifications are highly desirable (AWS/GCP/Oracle/Azure)
• NVIDIA Certifications around GPU and AI/ML
• Networking: Cisco/Juniper Certifications
• Programming/Scripting: Ruby, Python, Go, Bash
• Source Code: Git
• Automation: Terraform, Ansible, Chef, Puppet, Saltstack
• Virtualization: KVM, Xen
• Databases: MongoDB, MySQL, Redis, PostgreSQL
• Open Source: CoreOS, Docker, Kubernetes (CKA/CKE), Vagrant
• DigitalOcean: API, libraries, services
• Linux: RHCSA/RHCE

Compensation Range: 

• Base: $150,000 - $182,000 / Target OTE: $200,000 - 240,000

*This is a remote role

JR: 2026-7695

#LI-Remote

We are looking for a Staff Product Manager to own the strategic vision, development, and execution of DigitalOcean’s GPU product offerings. This high-impact role positions you at the intersection of advanced technology and market-leading innovation, driving products that influence the future direction of our AI and computational science platform.

As a Staff Product Manager, you will serve as product leader owning the foundation that powers accelerated computing. You will define how we strategically define upcoming GPU products, and develop how to acquire, allocate, and deploy GPU resources at scale, ensuring our product aligns with broader business objectives and customer demand for AI/ML and HPC workloads.

In this role, you will be a hands-on strategist, bridging customer needs, market realities, and complex technical execution to ensure efficient, effective value delivery.

What You’ll Do

• Own and drive the product strategy and roadmap for DigitalOcean’s GPUs including defining capacity, provisioning, and deployment workflow, aligning closely with overall cloud infrastructure objectives.
• Conduct comprehensive market analysis on GPU compute trends, competitive offerings, pricing, and emerging technologies to inform product direction and positioning.
• Collaborate directly with Engineering and Infrastructure teams to conceptualize, develop, and deliver cutting-edge GPU solutions optimized for AI, ML, and HPC workloads.
• Serve as the primary advocate for customer deployment requirements, actively collecting and prioritizing feedback to continually refine the capacity consumption experience and platform offerings.
• Partner effectively with Hardware Engineering, Capacity Planning, Solutions Architecture, and Go-to-Market teams to ensure successful, scalable GPU resource launches and full lifecycle management.
• Utilize data-driven approaches to evaluate product success, track key metrics around utilization and deployment velocity, and guide strategic product enhancements.

What You’ll Add to DigitalOcean

• 7+ years of product management experience, specializing in cloud compute infrastructure, accelerated computing, or high-performance networking.
• Deep technical knowledge of GPU architectures (AMD, NVIDIA) and their specific applications in AI, ML, and High-Performance Computing (HPC) environments.
• Proven track record of successfully managing complex infrastructure products from initial concept through large-scale deployment and optimization.
• A strong sense of ownership and a drive to figure out and resolve any issues preventing you and your team from delivering value to your customers
• Exceptional analytical and problem-solving skills, with a demonstrated ability to make and communicate strategic, data-driven decisions, especially related to capacity and scaling.
• Strong leadership and cross-functional communication skills, capable of driving consensus and inspiring collaboration across technical and business teams.
• Customer-focused mindset, with direct experience gathering insights and translating them into valuable product improvements.
• Experience with the Atlassian suite (Jira and Confluence) for managing the flow of value in both Agile and hybrid environments.
• A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical work experience

Compensation Range: 

• $186,000 - $233,000

*This is a hybrid role

JR: 2025-7388

#LI-Hybrid

We are looking for a Senior Engineer I who is passionate about Kubernetes and excited about the opportunity to take our managed Kubernetes solution (DOKS) to the next level.

As a Senior Engineer I at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role is on the DOKS team that is in charge of DigitalOcean's managed Kubernetes offering.

What You’ll Do:

• Develop the DigitalOcean Managed Kubernetes product.
• Contribute to our growing GPU offering to support scalable inference workloads at DigitalOcean.
• Develop back-end gRPC services written in Go deployed on Kubernetes.
• Design back-end services and author engineering design documents.
• Raise the bar for Operational Excellence.
• Independently lead projects.
• Navigate the complexity of distributed systems and operate them in production.
• Break the design documents into actionable epics and stories with estimates.
• Run experiments to optimize user experience and increase adoption of DOKS.
• Contribute to and maintain open-source projects, and collaborate with our developer community through customer meetings, blogs, and podcasts.
• Find emerging tools, trends, and methodologies and show your team how to integrate them against existing systems and processes.
• Regularly interact with important customers to understand their needs in the product.
• Contribute meaningfully to discussions on architecture, implementation, design patterns, and processes while being able to succinctly convey ideas to peers and mentees.
• Work on teams that operate across multiple time zones.

What You’ll Add to DigitalOcean:

• Expert knowledge of Kubernetes internals and Go.
• Experience operating Kubernetes platforms at scale.
• Ability to drive complex projects from inception through completion.

Compensation Range:

• $139,200 - $174,000

*This is a hybrid role

JR: 2025-6037

#LI-Hybrid

We are looking for a Strategic Technical Account Manager who is passionate about making an impact, builds genuine relationships with senior stakeholders, and understands how to integrate infrastructure choices into business strategy.

As a Strategic Technical Account Manager (TAM) at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. 

What You’ll Do:

Strategic Relationship Management

• Own the technical relationship with DigitalOcean’s highest-value customers, including Fortune 500 companies and global technology leaders.
• Serve as the trusted technical advisor and executive-facing point of contact, building deep, lasting relationships with VP- and SVP-level stakeholders.
• Drive regular technical and strategic alignment sessions (QBRs, EBRs), proactively shaping the customer’s roadmap to maximize the value of DigitalOcean infrastructure.
• Operate as a thought partner, challenging customers to modernize, optimize, and scale AI/ML and GPU workloads using cutting-edge cloud architecture patterns.

Executive Presence & Influence

• Engage with C-level and VP-level contacts with confidence, clarity, and authority.
• Deliver high-impact, boardroom-ready presentations on architecture decisions, cost-performance tradeoffs, and innovation opportunities.
• Navigate complex org structures, ensuring DigitalOcean maintains executive alignment and account control at every level.

Technical Consultation & Innovation Support

• Provide expert guidance on designing and scaling AI/ML, containerized, and GPU-intensive workloads on DigitalOcean.
• Assist customers with architectural planning, workload migration, performance tuning, and incident response.
• Collaborate directly with engineering and product teams to address customer roadblocks and influence the product roadmap based on enterprise needs.

Growth, Retention & Advocacy

• Own technical success across a portfolio of DigitalOcean’s largest and most strategic accounts.
• Identify opportunities for workload expansion, cost optimization, and operational efficiency.
• Act as the voice of the customer, providing structured feedback to influence DigitalOcean's offerings and go-to-market strategies.
  Lead cross-functional account planning with Account Management, Product, and Engineering.

What You’ll Add to DigitalOcean:

Enterprise Customer Experience

• 7+ years supporting enterprise or strategic accounts in a customer-facing technical role (TAM, Solutions Architect, or equivalent).
• Experience working with large-scale organizations like AMD, Intel, or similar, including managing executive-level relationships and navigating matrixed stakeholders.
• Deep understanding of cloud architecture for AI/ML, including GPU orchestration, inference/training pipelines, and model deployment.

Technical Depth

• Proficient in at least one major cloud platform (AWS, GCP, Azure) and familiar with DigitalOcean or other developer-focused platforms.
• Strong hands-on skills with Linux systems, networking, containers (Docker/Kubernetes), and automation (Terraform, Ansible).
  Programming/scripting in Python, Go, or similar—especially relevant to AI/ML and MLOps use cases.
• Understanding of AI/ML infrastructure stacks: PyTorch, TensorFlow, ONNX, Hugging Face, NVIDIA Triton, etc.
• Understanding of AI/ML infrastructure, including frameworks like PyTorch, TensorFlow, and ONNX, with hands-on experience optimizing GPU workloads on both NVIDIA (CUDA, TensorRT) and AMD (ROCm, MIOpen) platforms.
• Comfort with modern DevOps and data stack tools (CI/CD, GitOps, observability, pipelines).

Executive Presence & Communication

• Proven ability to engage with and influence executive decision-makers.
• Exceptional communication skills, including the ability to translate complex technical topics into strategic business impact.
• Comfortable presenting to large audiences, running technical workshops, and defending architectural decisions.

Bonus Points

• Cloud certifications (AWS SA Pro, GCP PCA, Azure Architect) or NVIDIA certifications.
• Experience with high-performance computing, edge AI, or hybrid/multicloud strategies.
• Background in startup or high-growth environments where agility and influence matter.
• Familiarity with DigitalOcean’s developer ecosystem, API, and service portfolio.

Compensation Range: 

•  $174,240 - $217,800

*This is a remote role

#LI-Remote

We are looking for a Senior Engineer II who is passionate about Kubernetes and excited about the opportunity to take our managed Kubernetes solution (DOKS) to the next level.

As a Senior Engineer II at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role is on the DOKS team that is in charge of DigitalOcean's managed Kubernetes offering.

What You’ll Do:

• Develop the DigitalOcean Managed Kubernetes product.
• Contribute to our growing GPU offering to support scalable inference workloads at DigitalOcean.
• Develop back-end gRPC services written in Go deployed on Kubernetes.
• Design back-end services and author engineering design documents.
• Raise the bar for Operational Excellence.
• Independently lead projects.
• Navigate the complexity of distributed systems and operate them in production.
• Break the design documents into actionable epics and stories with estimates.
• Run experiments to optimize user experience and increase adoption of DOKS.
• Contribute to and maintain open-source projects, and collaborate with our developer community through customer meetings, blogs, and podcasts.
• Find emerging tools, trends, and methodologies and show your team how to integrate them against existing systems and processes. 
• Regularly interact with important customers to understand their needs in the product.
• Contribute meaningfully to discussions on architecture, implementation, design patterns, and processes while being able to succinctly convey ideas to peers and mentees.
• Work on teams that operate across multiple time zones.

What You’ll Add to DigitalOcean:

• Expert knowledge of Kubernetes internals and Go.
• Experience operating Kubernetes platforms at scale.
• Ability to drive complex projects from inception through completion.

Compensation Range:

•  $167,200 - $209,000

*This is a hybrid role

JR: 2025-7104

#LI-Hybrid

We are looking for a Staff Security Software Engineer who is passionate about detecting and mitigating abuse in the Cloud. 

As a Staff Security Software Engineer at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role reports to the Senior Manager of Security Engineering within the Security organization. You should have experience developing and maintaining software systems in a complex, high-scale environment, analyzing outcomes and communicating insights to stakeholders, and rapidly devising solutions that are in alignment with overall business goals. Our team is focused on enabling DigitalOcean to scale safely by building systems that detect and prevent abuse on our platform. We highly value collaboration and growth, and work closely with other teams in the Security organization to deliver high quality solutions and also build tooling to boost their efficiency.

Our customers trust us with their data and operations, and we take that responsibility seriously. Security at DO means solving highly complex problems on a large scale that have real impact for our customers, our products, and for the larger internet community.

What You’ll Do:

• Design, develop, and deploy resilient services and tooling that provide security capabilities at scale, primarily in Go, with some work in Javascript and Python.
• Research and design automated approaches to detecting and actioning abuse and misuse of DigitalOcean products and services.
• Work with product and engineering teams to design and implement secure architectures.
• Design and build internal tools that enable our Security Operations Center to do more, faster.
• Measure the efficacy of our services and tools, using logs, metrics, and audit records, to drive reporting and decision-making, leading to iterative and transformative security improvements as DigitalOcean scales. All while being mindful that security should be an efficiency enabler for the business, not an obstacle.

What You’ll Add to DigitalOcean:

• 8+ years of hands-on experience in software engineering projects, ideally with a security focus, in a complex, high-scale SaaS or IaaS environment. You are an expert in writing robust code with good test coverage and demonstrated success in delivering projects.
• Understanding of cloud-native services and infrastructure provisioning (e.g. compute, storage, networking).
• Deep familiarity with cloud services & infrastructure—compute, storage, network, managed services—and related abuse tactics, including DDoS, spamming, phishing, cryptomining, and bot networks.
• Strong analytical and reporting skills, with proficiency in SQL and data warehouse querying (e.g., Snowflake, Redshift, BigQuery)
• A customer-first mindset—you aim to maximize abuse prevention while avoiding false-positives that could impact high-value customers.
• Excellent communication and documentation skills; you can clearly articulate patterns, mitigation strategies, and tradeoffs to both technical and non-technical stakeholders. You have a record of partnering with internal engineering teams and non-technical stakeholders to gather requirements and tackle security problems across an entire stack with empathy and creativity.
• High integrity, strong judgment, and a track record of working independently on high-impact investigations and policy decisions.

Bonus qualifications:

• Experience with microservice architectures, asynchronous and event-driven processing, and synchronous gRPC/HTTP-based requests.
• Experience in building secure by default services and applications.
• Familiarity with technologies such as gRPC, Docker, Elasticsearch, Prometheus/VictoriaMetrics, Kubernetes, and GitHub Actions.
• Experience with Looker, Snowflake, dbt, and Airflow

Compensation Range: 

• $183,040 - $228,800

*This is a hybrid role

JR: 2025-7129

#LI-Hybrid

We are building an AI-native Data Cloud and need a VP of Engineering who owns architecture, execution, and business outcomes end-to-end. The buck stops with this role for platform reliability, developer experience, and Data Cloud adoption.

DigitalOcean’s Data Cloud will power AI applications end-to-end—from data ingestion to real-time inference—enabling developers to build production-grade RAG systems, AI agents, and analytics workflows on a single, integrated platform. This role is responsible for delivering that platform by leveraging and extending DigitalOcean’s existing infrastructure, PaaS, and AI capabilities.

This is not a traditional data platform role. You will define and execute the strategy to move DigitalOcean up the stack—from infrastructure provider to a differentiated AI application and inference platform. Success will be measured through roadmap velocity, system reliability, developer adoption, and measurable business impact.

We are looking for a leader who translates strategy into shipped systems, with clear accountability for outcomes.

What You’ll Do:

Data Cloud Platform

Architecture and delivery of a unified platform spanning:

• Ingestion (connectors, CDC, streaming)
• Storage (object, OLAP, vector, graph)
• Processing (ELT pipelines, real-time and batch)
• Query & analytics (SQL, hybrid search, RAG)
• Governance (catalog, lineage, versioning, access control)

AI-Native Capabilities

• Knowledgebase-as-a-Service (RAG pipelines)
• Vector and hybrid retrieval systems
• Feature and embedding pipelines
• Real-time inference data paths

Product & Execution

• Deliver GA-grade services with strong SLAs, cost efficiency, and simplicity
• Drive roadmap aligned to Digital Native Enterprise (DNE) customers
• Establish and manage clear metrics: adoption, retention, ARPU, performance, reliability

Organizational Leadership

• Build and scale a high-performing global organization (US and India)
• Implement single-threaded ownership (STO) across services
• Partner deeply with Product, GTM, and Platform Engineering

What Success Looks Like (12 months)

• Launch a cohesive Data Cloud platform—not a collection of fragmented services
• Achieve meaningful adoption across AI-native workloads (RAG, inference, analytics)
• Reduce developer time-to-value from weeks to hours
• Establish clear differentiation versus hyperscalers on simplicity and cost

What You’ll Bring:

• Proven track record of building and operating cloud-scale data platforms (OLAP, lakehouse, streaming, or ML systems), with strong architectural judgment across storage, processing, and query layers
• Experience integrating open-source ecosystems (e.g., Spark, Airflow, dbt) into managed cloud services at scale
• Experience with AI/ML data pipelines (feature stores, embeddings, RAG)
• Demonstrated ability to operate in ambiguity, make high-quality decisions with incomplete data, and drive multi-quarter execution with measurable outcomes
• Proven experience scaling engineering organizations and delivering under real-world constraints

Critical requirement:
You have personally driven complex distributed systems from concept to production—not just managed teams that did.

Why This Role Matters

The Data Cloud is the control plane for AI applications. If DigitalOcean gets this right, it becomes the platform where developers build and scale intelligent applications—not just where infrastructure runs. If not, it remains an interchangeable infrastructure.

Compensation Range: 

• $279,200.00 - $349,000

*This is a remote role

JR: 2026-7683

#LI-Remote

We are building an AI-native Data Cloud and need a VP of Engineering who owns architecture, execution, and business outcomes end-to-end. The buck stops with this role for platform reliability, developer experience, and Data Cloud adoption.

DigitalOcean’s Data Cloud will power AI applications end-to-end—from data ingestion to real-time inference—enabling developers to build production-grade RAG systems, AI agents, and analytics workflows on a single, integrated platform. This role is responsible for delivering that platform by leveraging and extending DigitalOcean’s existing infrastructure, PaaS, and AI capabilities.

This is not a traditional data platform role. You will define and execute the strategy to move DigitalOcean up the stack—from infrastructure provider to a differentiated AI application and inference platform. Success will be measured through roadmap velocity, system reliability, developer adoption, and measurable business impact.

We are looking for a leader who translates strategy into shipped systems, with clear accountability for outcomes.

What You’ll Do:

Data Cloud Platform

Architecture and delivery of a unified platform spanning:

• Ingestion (connectors, CDC, streaming)
• Storage (object, OLAP, vector, graph)
• Processing (ELT pipelines, real-time and batch)
• Query & analytics (SQL, hybrid search, RAG)
• Governance (catalog, lineage, versioning, access control)

AI-Native Capabilities

• Knowledgebase-as-a-Service (RAG pipelines)
• Vector and hybrid retrieval systems
• Feature and embedding pipelines
• Real-time inference data paths

Product & Execution

• Deliver GA-grade services with strong SLAs, cost efficiency, and simplicity
• Drive roadmap aligned to Digital Native Enterprise (DNE) customers
• Establish and manage clear metrics: adoption, retention, ARPU, performance, reliability

Organizational Leadership

• Build and scale a high-performing global organization (US and India)
• Implement single-threaded ownership (STO) across services
• Partner deeply with Product, GTM, and Platform Engineering

What Success Looks Like (12 months)

• Launch a cohesive Data Cloud platform—not a collection of fragmented services
• Achieve meaningful adoption across AI-native workloads (RAG, inference, analytics)
• Reduce developer time-to-value from weeks to hours
• Establish clear differentiation versus hyperscalers on simplicity and cost

What You’ll Bring:

• Proven track record of building and operating cloud-scale data platforms (OLAP, lakehouse, streaming, or ML systems), with strong architectural judgment across storage, processing, and query layers
• Experience integrating open-source ecosystems (e.g., Spark, Airflow, dbt) into managed cloud services at scale
• Experience with AI/ML data pipelines (feature stores, embeddings, RAG)
• Demonstrated ability to operate in ambiguity, make high-quality decisions with incomplete data, and drive multi-quarter execution with measurable outcomes
• Proven experience scaling engineering organizations and delivering under real-world constraints

Critical requirement:
You have personally driven complex distributed systems from concept to production—not just managed teams that did.

Why This Role Matters

The Data Cloud is the control plane for AI applications. If DigitalOcean gets this right, it becomes the platform where developers build and scale intelligent applications—not just where infrastructure runs. If not, it remains an interchangeable infrastructure.

Compensation Range: 

• $279,200.00 - $349,000

*This is a hybrid role

JR: 2026-7683

#LI-Hybrid

We are building an AI-native Data Cloud and need a VP of Engineering who owns architecture, execution, and business outcomes end-to-end. The buck stops with this role for platform reliability, developer experience, and Data Cloud adoption.

DigitalOcean’s Data Cloud will power AI applications end-to-end—from data ingestion to real-time inference—enabling developers to build production-grade RAG systems, AI agents, and analytics workflows on a single, integrated platform. This role is responsible for delivering that platform by leveraging and extending DigitalOcean’s existing infrastructure, PaaS, and AI capabilities.

This is not a traditional data platform role. You will define and execute the strategy to move DigitalOcean up the stack—from infrastructure provider to a differentiated AI application and inference platform. Success will be measured through roadmap velocity, system reliability, developer adoption, and measurable business impact.

We are looking for a leader who translates strategy into shipped systems, with clear accountability for outcomes.

What You’ll Do:

Data Cloud Platform

Architecture and delivery of a unified platform spanning:

• Ingestion (connectors, CDC, streaming)
• Storage (object, OLAP, vector, graph)
• Processing (ELT pipelines, real-time and batch)
• Query & analytics (SQL, hybrid search, RAG)
• Governance (catalog, lineage, versioning, access control)

AI-Native Capabilities

• Knowledgebase-as-a-Service (RAG pipelines)
• Vector and hybrid retrieval systems
• Feature and embedding pipelines
• Real-time inference data paths

Product & Execution

• Deliver GA-grade services with strong SLAs, cost efficiency, and simplicity
• Drive roadmap aligned to Digital Native Enterprise (DNE) customers
• Establish and manage clear metrics: adoption, retention, ARPU, performance, reliability

Organizational Leadership

• Build and scale a high-performing global organization (US and India)
• Implement single-threaded ownership (STO) across services
• Partner deeply with Product, GTM, and Platform Engineering

What Success Looks Like (12 months)

• Launch a cohesive Data Cloud platform—not a collection of fragmented services
• Achieve meaningful adoption across AI-native workloads (RAG, inference, analytics)
• Reduce developer time-to-value from weeks to hours
• Establish clear differentiation versus hyperscalers on simplicity and cost

What You’ll Bring:

• Proven track record of building and operating cloud-scale data platforms (OLAP, lakehouse, streaming, or ML systems), with strong architectural judgment across storage, processing, and query layers
• Experience integrating open-source ecosystems (e.g., Spark, Airflow, dbt) into managed cloud services at scale
• Experience with AI/ML data pipelines (feature stores, embeddings, RAG)
• Demonstrated ability to operate in ambiguity, make high-quality decisions with incomplete data, and drive multi-quarter execution with measurable outcomes
• Proven experience scaling engineering organizations and delivering under real-world constraints

Critical requirement:
You have personally driven complex distributed systems from concept to production—not just managed teams that did.

Why This Role Matters

The Data Cloud is the control plane for AI applications. If DigitalOcean gets this right, it becomes the platform where developers build and scale intelligent applications—not just where infrastructure runs. If not, it remains an interchangeable infrastructure.

Compensation Range: 

• $279,200.00 - $349,000

*This is a remote role

JR: 2026-7683

#LI-Remote

We are building an AI-native Data Cloud and need a VP of Engineering who owns architecture, execution, and business outcomes end-to-end. The buck stops with this role for platform reliability, developer experience, and Data Cloud adoption.

DigitalOcean’s Data Cloud will power AI applications end-to-end—from data ingestion to real-time inference—enabling developers to build production-grade RAG systems, AI agents, and analytics workflows on a single, integrated platform. This role is responsible for delivering that platform by leveraging and extending DigitalOcean’s existing infrastructure, PaaS, and AI capabilities.

This is not a traditional data platform role. You will define and execute the strategy to move DigitalOcean up the stack—from infrastructure provider to a differentiated AI application and inference platform. Success will be measured through roadmap velocity, system reliability, developer adoption, and measurable business impact.

We are looking for a leader who translates strategy into shipped systems, with clear accountability for outcomes.

What You’ll Do:

Data Cloud Platform

Architecture and delivery of a unified platform spanning:

• Ingestion (connectors, CDC, streaming)
• Storage (object, OLAP, vector, graph)
• Processing (ELT pipelines, real-time and batch)
• Query & analytics (SQL, hybrid search, RAG)
• Governance (catalog, lineage, versioning, access control)

AI-Native Capabilities

• Knowledgebase-as-a-Service (RAG pipelines)
• Vector and hybrid retrieval systems
• Feature and embedding pipelines
• Real-time inference data paths

Product & Execution

• Deliver GA-grade services with strong SLAs, cost efficiency, and simplicity
• Drive roadmap aligned to Digital Native Enterprise (DNE) customers
• Establish and manage clear metrics: adoption, retention, ARPU, performance, reliability

Organizational Leadership

• Build and scale a high-performing global organization (US and India)
• Implement single-threaded ownership (STO) across services
• Partner deeply with Product, GTM, and Platform Engineering

What Success Looks Like (12 months)

• Launch a cohesive Data Cloud platform—not a collection of fragmented services
• Achieve meaningful adoption across AI-native workloads (RAG, inference, analytics)
• Reduce developer time-to-value from weeks to hours
• Establish clear differentiation versus hyperscalers on simplicity and cost

What You’ll Bring:

• Proven track record of building and operating cloud-scale data platforms (OLAP, lakehouse, streaming, or ML systems), with strong architectural judgment across storage, processing, and query layers
• Experience integrating open-source ecosystems (e.g., Spark, Airflow, dbt) into managed cloud services at scale
• Experience with AI/ML data pipelines (feature stores, embeddings, RAG)
• Demonstrated ability to operate in ambiguity, make high-quality decisions with incomplete data, and drive multi-quarter execution with measurable outcomes
• Proven experience scaling engineering organizations and delivering under real-world constraints

Critical requirement:
You have personally driven complex distributed systems from concept to production—not just managed teams that did.

Why This Role Matters

The Data Cloud is the control plane for AI applications. If DigitalOcean gets this right, it becomes the platform where developers build and scale intelligent applications—not just where infrastructure runs. If not, it remains an interchangeable infrastructure.

Compensation Range: 

• $279,200.00 - $349,000

*This is a remote role

JR: 2026-7683

#LI-Remote

We are building an AI-native Data Cloud and need a VP of Engineering who owns architecture, execution, and business outcomes end-to-end. The buck stops with this role for platform reliability, developer experience, and Data Cloud adoption.

DigitalOcean’s Data Cloud will power AI applications end-to-end—from data ingestion to real-time inference—enabling developers to build production-grade RAG systems, AI agents, and analytics workflows on a single, integrated platform. This role is responsible for delivering that platform by leveraging and extending DigitalOcean’s existing infrastructure, PaaS, and AI capabilities.

This is not a traditional data platform role. You will define and execute the strategy to move DigitalOcean up the stack—from infrastructure provider to a differentiated AI application and inference platform. Success will be measured through roadmap velocity, system reliability, developer adoption, and measurable business impact.

We are looking for a leader who translates strategy into shipped systems, with clear accountability for outcomes.

What You’ll Do:

Data Cloud Platform

Architecture and delivery of a unified platform spanning:

• Ingestion (connectors, CDC, streaming)
• Storage (object, OLAP, vector, graph)
• Processing (ELT pipelines, real-time and batch)
• Query & analytics (SQL, hybrid search, RAG)
• Governance (catalog, lineage, versioning, access control)

AI-Native Capabilities

• Knowledgebase-as-a-Service (RAG pipelines)
• Vector and hybrid retrieval systems
• Feature and embedding pipelines
• Real-time inference data paths

Product & Execution

• Deliver GA-grade services with strong SLAs, cost efficiency, and simplicity
• Drive roadmap aligned to Digital Native Enterprise (DNE) customers
• Establish and manage clear metrics: adoption, retention, ARPU, performance, reliability

Organizational Leadership

• Build and scale a high-performing global organization (US and India)
• Implement single-threaded ownership (STO) across services
• Partner deeply with Product, GTM, and Platform Engineering

What Success Looks Like (12 months)

• Launch a cohesive Data Cloud platform—not a collection of fragmented services
• Achieve meaningful adoption across AI-native workloads (RAG, inference, analytics)
• Reduce developer time-to-value from weeks to hours
• Establish clear differentiation versus hyperscalers on simplicity and cost

What You’ll Bring:

• Proven track record of building and operating cloud-scale data platforms (OLAP, lakehouse, streaming, or ML systems), with strong architectural judgment across storage, processing, and query layers
• Experience integrating open-source ecosystems (e.g., Spark, Airflow, dbt) into managed cloud services at scale
• Experience with AI/ML data pipelines (feature stores, embeddings, RAG)
• Demonstrated ability to operate in ambiguity, make high-quality decisions with incomplete data, and drive multi-quarter execution with measurable outcomes
• Proven experience scaling engineering organizations and delivering under real-world constraints

Critical requirement:
You have personally driven complex distributed systems from concept to production—not just managed teams that did.

Why This Role Matters

The Data Cloud is the control plane for AI applications. If DigitalOcean gets this right, it becomes the platform where developers build and scale intelligent applications—not just where infrastructure runs. If not, it remains an interchangeable infrastructure.

Compensation Range: 

• $279,200.00 - $349,000

*This is a remote role

JR: 2026-7683

#LI-Remote

We want people who are passionate about solving complex cloud infrastructure challenges for our customers.

We are seeking a Solutions Architect II with deep expertise in Kubernetes migrations and cloud infrastructure to drive the success and retention of DigitalOcean’s high-value customers while also acquiring and onboarding net new customers. Reporting to the Manager of Solutions Architecture, you will play a critical role in leading customers through Kubernetes migrations and cloud-native transformations, helping them achieve their business objectives while expanding their use of DigitalOcean’s platform.

In this role, you will partner with Customer Success, Support, and Sales teams to deliver technical excellence that supports the retention and expansion of our largest and fastest-growing customers, as well as onboarding new businesses seeking modern, scalable solutions. As the technical subject matter expert, you will design, implement, and optimize cloud architectures, guide customers on best practices, and deliver solutions tailored to their needs.

Additionally, you will collaborate across functions—Product, Engineering, and Operations—to ensure customer feedback informs the continuous improvement of DigitalOcean’s products and services. Your insights and leadership will be instrumental in building trust with both existing customers and new prospects, showcasing DigitalOcean as their go-to partner for Kubernetes and cloud infrastructure needs.

This role offers an exciting opportunity to combine your technical depth, communication skills, and entrepreneurial mindset to make a significant impact on DigitalOcean’s growth and success.

What You Will Be Doing: 

As a Staff Solutions Architect specializing in Kubernetes, you will be a hands-on technical leader responsible for guiding customers through complex Kubernetes migration projects. Leveraging deep expertise in migrations and the Kubernetes ecosystem, you will play a pivotal role in designing, implementing, and optimizing cloud-native solutions for customers. Collaborating closely with customer success teams, engineering, and other stakeholders, your efforts will directly contribute to workload expansion, customer retention, and the adoption of modern cloud practices.

• Lead hands-on Kubernetes migration projects, ensuring seamless transitions of workloads to Kubernetes environments.
• Analyze customers’ existing infrastructure and applications to design robust migration strategies.
• Implement Kubernetes architectures, taking ownership of the technical execution throughout the migration lifecycle.
• Troubleshoot and resolve complex migration challenges, ensuring minimal downtime and optimal performance.
• Deep expertise in Kubernetes, container orchestration, and the cloud-native ecosystem.
• Software engineering experience 7 years+
• Design, plan, and review Kubernetes migration and modernization strategies tailored to specific use cases.
• Build detailed infrastructure diagrams and explain architectural decisions clearly to technical and non-technical audiences.
• Partner with Technical Customer Success Managers and Account Managers to identify customer needs, define success plans, and ensure smooth migrations.
• Conduct hands-on technical workshops, proof of concepts, and demonstrations showcasing Kubernetes migration processes and cloud-native solutions.
• Offer tailored onboarding and migration assistance to guide customers through technical blockers and adoption challenges.
• Act as a trusted advisor, helping customers navigate technical complexities and adopt Kubernetes best practices.
• Collaborate with engineering and support teams to resolve technical escalations during migrations.
• Advocate for customer feedback to inform the development of new Kubernetes-related features and platform enhancements.

What We'll Expect From You:

• Extensive professional experience in cloud infrastructure, Kubernetes, and migration projects, or equivalent education.
• Deep understanding of Kubernetes architecture, container orchestration, and related cloud-native technologies.
• Strong foundational knowledge of Linux, distributed systems, and their application in cloud environments.
• Proven programming and scripting experience to support automation and migration processes.
• Prior experience in a pre-sales, technical consulting, or customer-facing role, with a focus on solving complex technical challenges.
• Passionate about delivering exceptional customer experiences and fostering customer success.
• Demonstrated track record of developing effective technical solutions to address customer business challenges.
• Excellent verbal and written communication skills, with the ability to explain technical concepts clearly to diverse audiences.
• Highly motivated, with a proactive mindset and the ability to work independently and collaboratively.
• Relevant certifications such as Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), or Certified Kubernetes Security Specialist (CKS).
• Proficiency in IaC tools like Terraform, Helm, or Ansible, and experience automating complex deployments.

Extra Credit: 

• Demonstrated experience contributing to open-source projects, particularly within the Kubernetes ecosystem or related cloud-native technologies.
• Advanced knowledge of cloud providers and tools (e.g., AWS, Azure, Google Cloud Platform) and experience with multi-cloud or hybrid cloud environments.
• Active participation in Kubernetes or cloud-native communities, including meetups, conferences, or forums.
• Experience creating tools, plugins, or frameworks that enhance Kubernetes migrations or operational efficiency.
• Published articles, blogs, or documentation on Kubernetes best practices, migration strategies, or cloud-native solutions.

Compensation Range: 

• Base: $150,000 - $182,000 / Target OTE: $200,000 - 240,000

*This is a remote role

JR: 2026-7693

#LI-Remote

We are looking for a Customer Success Engineer, Database who is passionate about cloud infrastructure, database technologies, and delivering exceptional customer experiences, while providing high-touch, white-glove support to strategic accounts.

As a Customer Success Engineer at DigitalOcean, you will join a dynamic team dedicated to supporting and empowering customers to successfully run their workloads on our platform. You will work closely with customers to troubleshoot issues, optimize database performance, and guide them in adopting best practices across managed databases and cloud infrastructure.

In this role, you will build strong technical depth across database systems and DigitalOcean products while developing your ability to handle increasingly complex customer scenarios. You will collaborate cross-functionally with Product and Engineering to ensure seamless customer outcomes. This role reports to the Manager, Customer Success Engineer.

What You'll Do

• Deliver hands-on technical support for database and cloud infrastructure issues across technologies such as MySQL, PostgreSQL, Valkey (Redis), MongoDB and Clickhouse, with exposure to cloud-native and Kubernetes environments
• Diagnose and resolve production issues impacting database performance, availability, replication, backups, and connectivity
• Guide customers in designing scalable, reliable, and high-performing database architectures on DigitalOcean
• Collaborate with senior engineers and stakeholders to support onboarding, migrations, customer success, and the resolution of complex escalations.
•  on complex escalations, contributing to root cause analysis and resolution
• Analyze customer architectures to identify improvement opportunities and recommend best practices
• Participate in incident response and on-call rotations to support critical customer issues
• Contribute to team growth through case reviews and knowledge sharing, while developing and maintaining technical documentation and playbooks to drive continuous improvement.
• Advocate for customer feedback to influence product improvements and platform enhancements
• Identify opportunities to leverage automation and AI tools to streamline support workflows, reduce manual effort, and improve response quality.
• Use monitoring and observability tools to diagnose performance bottlenecks and system behavior.

Key Metrics

• Customer Satisfaction (CSAT)
• Time to Resolution / SLA adherence
• Escalation quality and resolution effectiveness
• Documentation and knowledge base contributions
• Customer adoption of best practices

What You'll Add to DigitalOcean

Required Experience & skills

• 2–5 years of experience in technical support, DevOps, cloud engineering, or similar roles
• Hands-on experience with some of the major database systems (e.g., PostgreSQL, MySQL, Redis, MongoDB, Clickhouse), with some familiarity across Kafka and others.
• Strong Foundational knowledge of Linux, networking, and cloud infrastructure concepts
• Understanding of database fundamentals including backups, replication, indexing, and performance tuning
• Strong troubleshooting skills across application, database, and infrastructure layers
• Customer-first mindset with a passion for solving technical problems and delivering great support experiences
• Effective communication skills with the ability to explain technical concepts clearly
• Ability to work both independently and collaboratively in a fast-paced environment

Preferred Qualification:

• Proven experience contributing to open-source projects, particularly in the database ecosystem (e.g., MySQL, PostgreSQL, Redis, MongoDB) or related technologies like Kafka, OpenSearch, or database migration tools.
• Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with multi-cloud or hybrid cloud environments.
• Basic Experience to distributed systems or containerized environments (e.g., Kubernetes)
• Hands-on experience with Infrastructure-as-Code tools such as Terraform, Helm, or Ansible.
• Contributions to open-source projects, technical blogs, or documentation related to databases or cloud-native technologies
• At least one of the Database Certifications, such as Oracle Certified Professional or Databases Administrator
• Exposure to one or more programming languages (PHP, Python, NodeJS) or a strong interest in developing coding skills.

Compensation Range: 

• $75,200 - $94,000 / Shift hours - 1pm - 9pm PST

*This is a remote role

JR: 2026-7646

#LI-Remote

We’re looking for a security manager passionate about defending the enterprise to lead a team of Security Engineers and Analysts.

You will manage a team dedicated to defending DigitalOcean’s corporate and production environments, reporting to the Director of Security. At the heart of this team's mission lies a commitment to building and maintaining robust systems that keep DigitalOcean's production and corporate infrastructure safe, secure, and defensible. We protect DigitalOcean from internal and external threats by implementing security tools and processes. We collaborate with teams to provide secure-by-design solutions that remove obstacles to productivity, embodying a "yes, and" philosophy rather than "no."

What You’ll Do:

Lead and grow the team

• You will manage, mentor, and hire for a team of 6 infrastructure security engineers and security analysts ranging from junior to staff levels.
• You will support team members’ career growth, manage performance, and ensure the team maintains a high bar for technical execution.

Scale security infrastructure

• You will lead Infrastructure Security engineers in building and maintenance of critical systems including Vault, VPNs, LDAP, and Network IDS sensors.
• You will oversee the maintenance of mission-critical Infrastructure as Code automation, leveraging tools like Ansible, Chef, and Terraform while leading the strategic evolution of IAM and endpoint security for both production and corporate infrastructure.
• Maintain the operational health of the team’s platforms and services by overseeing a sustainable on-call rotation, serving as a secondary escalation point to support your engineers during major infrastructure disruptions or outages.

Mature detection engineering

• You will lead Security Analysts in building a first line of defense, triaging corporate alerts, and building robust detections.
• You will ensure the team effectively monitors for suspicious activity and executes the crucial initial steps of alert triage to activate Incident Response.
• Collaborate closely with ICs and leaders in Digital Forensics and Incident Response (DFIR) to ensure the detection pipeline is grounded in reality, building high-fidelity alerts that map directly to potential security incidents and threat actor behaviors.

Build bridges, not walls 

• You will foster strong cross-functional relationships by working closely with ICs and leaders across both corporate and technical teams, including IT, Finance, Internal Audit, and Product Engineering.
• You will lead your team to be proactive "yes, and" partners who help stakeholders navigate security challenges with clarity and confidence.

What You’ll Add to DigitalOcean:

Experienced management

• You have 2+ years of experience leading a team of security engineers or analysts.
• You are comfortable stepping into a role with 6 direct reports and have a track record of elevating talent across all levels (junior to staff) and keeping them engaged and unblocked.

Technical context

• You possess a deep background in Infrastructure Security, Security Operations, or Security Engineering.
• You lead with technical credibility, providing meaningful feedback on complex systems across Identity (IAM, ZTNA), Infrastructure (VPNs, Endpoint, IDS, Vault), and Security Observability platforms.
• You have direct experience with security monitoring programs and a passion for maturing enterprise defense.

Servant leadership

• You measure your own success by the success of your team.
• You have a track record of defining clear priorities to reduce context switching, clearing operational paths so your engineers and analysts can focus on technical execution, and ensuring they receive visibility and credit for their work.

Empathy & communication

• You translate complex security risks into business context for leadership and teach your team to communicate with empathy and clarity.
• You effectively communicate roadmaps, milestones, target dates, and project status to both your direct leadership and the extended security leadership team.

Compensation Range: 

• $180,000 - $210,000

*This is a hybrid role

JR: 2026-7588

#LI-Hybrid

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications.

We are seeking a Senior Engineer 2 to play a key role in our AI Infrastructure Control Plane team. This team's mission is to orchestrate and operate compute fleet, storage and networking for running AI workloads - inference, training, fine-tuning - at scale. In this high-impact role, you will be a primary technical architect and leader, responsible for building the foundational control plane services that power our large Gen AI model hosting infrastructure.

This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. You will bridge the gap between high-scale distributed systems and specialized AI inference orchestration to ensure our global platform remains simple, reliable, and accessible for developers building the next generation of AI applications.

What You’ll Do:

• Architectural Leadership: Drive the design and development of distributed services within our AI Infrastructure ecosystem, including complex orchestration for LLM inference and hosting services. Your focus will be the control plane orchestration of compute, networking, and storage for AI workloads.
• System Design: Create, refine, and assess system design proposals for our high-scale, multi-tenant inference cloud ecosystem, ensuring they meet rigorous standards for availability and resiliency.
• Operational Excellence: Lead the operational strategy for critical services, defining SLOs and leveraging advanced observability to maintain platform health in a high-scale environment.
• Cross-Functional Collaboration: Partner deeply with Product Management, TPMs, and Engineering Management peers to align technical roadmaps with business priorities.
• Strategic Growth: Work on new architecture initiatives that enable fleet optimization and help evolve DigitalOcean into a market leader for AI-native networking and infrastructure.

What You’ll Bring to DigitalOcean:

• Distributed Systems Mastery: Deep experience with distributed and cloud services, including messaging systems, databases, and infrastructure as code, observability, and security.
• Cloud Infrastructure Expertise: Advanced knowledge of cloud networking (VPCs, Load Balancers), containerization (Kubernetes), and cloud storage (block, object, NFS). Deep networking software experience (VLAN, RDMA, Ethernet, L3-L7 network protocols, etc) would be a plus.
• AI/ML Domain Knowledge: Proven experience building AI/ML products, specifically focusing on Gen AI platforms, LLM hosting, and inference workflows.
• Operational Track Record: Significant experience running customer-facing, high-availability services across multiple regions.
• Open Source Engagement: Experience integrating and building with open-source software and a bias for technical ownership.
• Software Engineering: Expert proficiency in GoLang or Python and familiarity with gRPC for service-to-service communication.

Compensation Range: 

• $139,200.00 - $174,000.00

*This is a hybrid role

JR: 2026-7623

#LI-Hybrid

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications.

We are seeking a Senior Engineer 2 to play a key role in our AI Infrastructure Control Plane team. This team's mission is to orchestrate and operate compute fleet, storage and networking for running AI workloads - inference, training, fine-tuning - at scale. In this high-impact role, you will be a primary technical architect and leader, responsible for building the foundational control plane services that power our large Gen AI model hosting infrastructure.

This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. You will bridge the gap between high-scale distributed systems and specialized AI inference orchestration to ensure our global platform remains simple, reliable, and accessible for developers building the next generation of AI applications.

What You’ll Do:

• Architectural Leadership: Drive the design and development of distributed services within our AI Infrastructure ecosystem, including complex orchestration for LLM inference and hosting services. Your focus will be the control plane orchestration of compute, networking, and storage for AI workloads.
• System Design: Create, refine, and assess system design proposals for our high-scale, multi-tenant inference cloud ecosystem, ensuring they meet rigorous standards for availability and resiliency.
• Operational Excellence: Lead the operational strategy for critical services, defining SLOs and leveraging advanced observability to maintain platform health in a high-scale environment.
• Cross-Functional Collaboration: Partner deeply with Product Management, TPMs, and Engineering Management peers to align technical roadmaps with business priorities.
• Strategic Growth: Work on new architecture initiatives that enable fleet optimization and help evolve DigitalOcean into a market leader for AI-native networking and infrastructure.

What You’ll Bring to DigitalOcean:

• Distributed Systems Mastery: Deep experience with distributed and cloud services, including messaging systems, databases, and infrastructure as code, observability, and security.
• Cloud Infrastructure Expertise: Advanced knowledge of cloud networking (VPCs, Load Balancers), containerization (Kubernetes), and cloud storage (block, object, NFS). Deep networking software experience (VLAN, RDMA, Ethernet, L3-L7 network protocols, etc) would be a plus.
• AI/ML Domain Knowledge: Proven experience building AI/ML products, specifically focusing on Gen AI platforms, LLM hosting, and inference workflows.
• Operational Track Record: Significant experience running customer-facing, high-availability services across multiple regions.
• Open Source Engagement: Experience integrating and building with open-source software and a bias for technical ownership.
• Software Engineering: Expert proficiency in GoLang or Python and familiarity with gRPC for service-to-service communication.

Compensation Range: 

• $139,200.00 - $174,000.00

*This is a remote role

JR: 2026-7623

#LI-Remote

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications.

We are seeking a Senior Engineer 2 to play a key role in our AI Infrastructure Control Plane team. This team's mission is to orchestrate and operate compute fleet, storage and networking for running AI workloads - inference, training, fine-tuning - at scale. In this high-impact role, you will be a primary technical architect and leader, responsible for building the foundational control plane services that power our large Gen AI model hosting infrastructure.

This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. You will bridge the gap between high-scale distributed systems and specialized AI inference orchestration to ensure our global platform remains simple, reliable, and accessible for developers building the next generation of AI applications.

What You’ll Do:

• Architectural Leadership: Drive the design and development of distributed services within our AI Infrastructure ecosystem, including complex orchestration for LLM inference and hosting services. Your focus will be the control plane orchestration of compute, networking, and storage for AI workloads.
• System Design: Create, refine, and assess system design proposals for our high-scale, multi-tenant inference cloud ecosystem, ensuring they meet rigorous standards for availability and resiliency.
• Operational Excellence: Lead the operational strategy for critical services, defining SLOs and leveraging advanced observability to maintain platform health in a high-scale environment.
• Cross-Functional Collaboration: Partner deeply with Product Management, TPMs, and Engineering Management peers to align technical roadmaps with business priorities.
• Strategic Growth: Work on new architecture initiatives that enable fleet optimization and help evolve DigitalOcean into a market leader for AI-native networking and infrastructure.

What You’ll Bring to DigitalOcean:

• Distributed Systems Mastery: Deep experience with distributed and cloud services, including messaging systems, databases, and infrastructure as code, observability, and security.
• Cloud Infrastructure Expertise: Advanced knowledge of cloud networking (VPCs, Load Balancers), containerization (Kubernetes), and cloud storage (block, object, NFS). Deep networking software experience (VLAN, RDMA, Ethernet, L3-L7 network protocols, etc) would be a plus.
• AI/ML Domain Knowledge: Proven experience building AI/ML products, specifically focusing on Gen AI platforms, LLM hosting, and inference workflows.
• Operational Track Record: Significant experience running customer-facing, high-availability services across multiple regions.
• Open Source Engagement: Experience integrating and building with open-source software and a bias for technical ownership.
• Software Engineering: Expert proficiency in GoLang or Python and familiarity with gRPC for service-to-service communication.

Compensation Range: 

• $139,200.00 - $174,000.00

*This is a remote role

JR: 2026-7623

#LI-Remote

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications.

We are seeking a Senior Engineer 2 to play a key role in our AI Infrastructure Control Plane team. This team's mission is to orchestrate and operate compute fleet, storage and networking for running AI workloads - inference, training, fine-tuning - at scale. In this high-impact role, you will be a primary technical architect and leader, responsible for building the foundational control plane services that power our large Gen AI model hosting infrastructure.

This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. You will bridge the gap between high-scale distributed systems and specialized AI inference orchestration to ensure our global platform remains simple, reliable, and accessible for developers building the next generation of AI applications.

What You’ll Do:

• Architectural Leadership: Drive the design and development of distributed services within our AI Infrastructure ecosystem, including complex orchestration for LLM inference and hosting services. Your focus will be the control plane orchestration of compute, networking, and storage for AI workloads.
• System Design: Create, refine, and assess system design proposals for our high-scale, multi-tenant inference cloud ecosystem, ensuring they meet rigorous standards for availability and resiliency.
• Operational Excellence: Lead the operational strategy for critical services, defining SLOs and leveraging advanced observability to maintain platform health in a high-scale environment.
• Cross-Functional Collaboration: Partner deeply with Product Management, TPMs, and Engineering Management peers to align technical roadmaps with business priorities.
• Strategic Growth: Work on new architecture initiatives that enable fleet optimization and help evolve DigitalOcean into a market leader for AI-native networking and infrastructure.

What You’ll Bring to DigitalOcean:

• Distributed Systems Mastery: Deep experience with distributed and cloud services, including messaging systems, databases, and infrastructure as code, observability, and security.
• Cloud Infrastructure Expertise: Advanced knowledge of cloud networking (VPCs, Load Balancers), containerization (Kubernetes), and cloud storage (block, object, NFS). Deep networking software experience (VLAN, RDMA, Ethernet, L3-L7 network protocols, etc) would be a plus.
• AI/ML Domain Knowledge: Proven experience building AI/ML products, specifically focusing on Gen AI platforms, LLM hosting, and inference workflows.
• Operational Track Record: Significant experience running customer-facing, high-availability services across multiple regions.
• Open Source Engagement: Experience integrating and building with open-source software and a bias for technical ownership.
• Software Engineering: Expert proficiency in GoLang or Python and familiarity with gRPC for service-to-service communication.

Compensation Range: 

• $139,200.00 - $174,000.00

*This is a remote role

JR: 2026-7623

#LI-Remote

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications.

We are seeking a Senior Engineer 2 to play a key role in our AI Infrastructure Control Plane team. This team's mission is to orchestrate and operate compute fleet, storage and networking for running AI workloads - inference, training, fine-tuning - at scale. In this high-impact role, you will be a primary technical architect and leader, responsible for building the foundational control plane services that power our large Gen AI model hosting infrastructure.

This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. You will bridge the gap between high-scale distributed systems and specialized AI inference orchestration to ensure our global platform remains simple, reliable, and accessible for developers building the next generation of AI applications.

What You’ll Do:

• Architectural Leadership: Drive the design and development of distributed services within our AI Infrastructure ecosystem, including complex orchestration for LLM inference and hosting services. Your focus will be the control plane orchestration of compute, networking, and storage for AI workloads.
• System Design: Create, refine, and assess system design proposals for our high-scale, multi-tenant inference cloud ecosystem, ensuring they meet rigorous standards for availability and resiliency.
• Operational Excellence: Lead the operational strategy for critical services, defining SLOs and leveraging advanced observability to maintain platform health in a high-scale environment.
• Cross-Functional Collaboration: Partner deeply with Product Management, TPMs, and Engineering Management peers to align technical roadmaps with business priorities.
• Strategic Growth: Work on new architecture initiatives that enable fleet optimization and help evolve DigitalOcean into a market leader for AI-native networking and infrastructure.

What You’ll Bring to DigitalOcean:

• Distributed Systems Mastery: Deep experience with distributed and cloud services, including messaging systems, databases, and infrastructure as code, observability, and security.
• Cloud Infrastructure Expertise: Advanced knowledge of cloud networking (VPCs, Load Balancers), containerization (Kubernetes), and cloud storage (block, object, NFS). Deep networking software experience (VLAN, RDMA, Ethernet, L3-L7 network protocols, etc) would be a plus.
• AI/ML Domain Knowledge: Proven experience building AI/ML products, specifically focusing on Gen AI platforms, LLM hosting, and inference workflows.
• Operational Track Record: Significant experience running customer-facing, high-availability services across multiple regions.
• Open Source Engagement: Experience integrating and building with open-source software and a bias for technical ownership.
• Software Engineering: Expert proficiency in GoLang or Python and familiarity with gRPC for service-to-service communication.

Compensation Range: 

• $139,200.00 - $174,000.00

*This is a remote role

JR: 2026-7623

#LI-Remote

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a Senior Engineer II to join our AI Inference Engine Systems team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our "Inference as a Service" offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. 

What You’ll Do:

• Technical Leadership: Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.
• System Design: Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.
• Performance Optimization: Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing.
• Collaboration: Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs.
• Mentorship: Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.
• Operational Excellence: Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health.

What You’ll Bring to DigitalOcean:

• Distributed Systems Expertise: Strong experience with microservices, messaging systems, databases, and infrastructure as code.
• AI/ML Domain Knowledge: Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular.
• Inference Frameworks: Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve.
• Hardware & Interconnects: Understanding of GPU-level optimization and experience with interconnect technologies like NVlink, XGMI, or RoCE.
• Architecture Proficiency: Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Software Engineering: Expert-level proficiency in GoLang or Python and familiarity with gRPC.
• Cloud Operations: Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.
• Open Source Mindset: Experience integrating and building with open-source software.

Compensation Range: 

• $167,200.00 - $209,000

*This is a remote role

JR: 2026-7591

#LI-Remote

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a Senior Engineer 2 to join our AI Inference Engine Systems team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our "Inference as a Service" offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. 

What You’ll Do:

• Technical Leadership: Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.
• System Design: Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.
• Performance Optimization: Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing.
• Collaboration: Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs.
• Mentorship: Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.
• Operational Excellence: Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health.

What You’ll Bring to DigitalOcean:

• Distributed Systems Expertise: Strong experience with microservices, messaging systems, databases, and infrastructure as code.
• AI/ML Domain Knowledge: Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular.
• Inference Frameworks: Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve.
• Hardware & Interconnects: Understanding of GPU-level optimization and experience with interconnect technologies like NVlink, XGMI, or RoCE.
• Architecture Proficiency: Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Software Engineering: Expert-level proficiency in GoLang or Python and familiarity with gRPC.
• Cloud Operations: Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.
• Open Source Mindset: Experience integrating and building with open-source software.

Compensation Range: 

• $167,200.00 - $209,000

*This is a remote role

JR: 2026-7591

#LI-Remote

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a Senior Engineer 2 to join our AI Inference Engine Systems team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our "Inference as a Service" offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. 

What You’ll Do:

• Technical Leadership: Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.
• System Design: Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.
• Performance Optimization: Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing.
• Collaboration: Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs.
• Mentorship: Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.
• Operational Excellence: Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health.

What You’ll Bring to DigitalOcean:

• Distributed Systems Expertise: Strong experience with microservices, messaging systems, databases, and infrastructure as code.
• AI/ML Domain Knowledge: Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular.
• Inference Frameworks: Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve.
• Hardware & Interconnects: Understanding of GPU-level optimization and experience with interconnect technologies like NVlink, XGMI, or RoCE.
• Architecture Proficiency: Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Software Engineering: Expert-level proficiency in GoLang or Python and familiarity with gRPC.
• Cloud Operations: Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.
• Open Source Mindset: Experience integrating and building with open-source software.

Compensation Range: 

• $167,200.00 - $209,000

*This is a remote role

JR: 2026-7591

#LI-Remote

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a Senior Engineer 2 to join our AI Inference Engine Systems team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our "Inference as a Service" offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. 

What You’ll Do:

• Technical Leadership: Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.
• System Design: Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.
• Performance Optimization: Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing.
• Collaboration: Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs.
• Mentorship: Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.
• Operational Excellence: Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health.

What You’ll Bring to DigitalOcean:

• Distributed Systems Expertise: Strong experience with microservices, messaging systems, databases, and infrastructure as code.
• AI/ML Domain Knowledge: Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular.
• Inference Frameworks: Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve.
• Hardware & Interconnects: Understanding of GPU-level optimization and experience with interconnect technologies like NVlink, XGMI, or RoCE.
• Architecture Proficiency: Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Software Engineering: Expert-level proficiency in GoLang or Python and familiarity with gRPC.
• Cloud Operations: Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.
• Open Source Mindset: Experience integrating and building with open-source software.

Compensation Range: 

• $167,200.00 - $209,000

*This is a hybrid role

JR: 2026-7591

#LI-Hybrid

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a Senior Engineer 2 to join our AI Inference Engine Systems team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our "Inference as a Service" offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. 

What You’ll Do:

• Technical Leadership: Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.
• System Design: Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.
• Performance Optimization: Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing.
• Collaboration: Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs.
• Mentorship: Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.
• Operational Excellence: Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health.

What You’ll Bring to DigitalOcean:

• Distributed Systems Expertise: Strong experience with microservices, messaging systems, databases, and infrastructure as code.
• AI/ML Domain Knowledge: Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular.
• Inference Frameworks: Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve.
• Hardware & Interconnects: Understanding of GPU-level optimization and experience with interconnect technologies like NVlink, XGMI, or RoCE.
• Architecture Proficiency: Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Software Engineering: Expert-level proficiency in GoLang or Python and familiarity with gRPC.
• Cloud Operations: Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.
• Open Source Mindset: Experience integrating and building with open-source software.

Compensation Range: 

• $167,200.00 - $209,000

*This is a remote role

JR: 2026-7591

#LI-Remote