Armada
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
About the Company
About the Role
The Customer Engineer plays a pivotal role in bridging the gap between technical expertise and sales acumen. This position requires a blend of technical knowledge and interpersonal skills to effectively communicate the value of complex technical solutions to potential clients. The Sales Engineer collaborates closely with the sales team to understand customer needs, provide technical demonstrations, and offer tailored solutions that address client requirements. This role is instrumental in driving revenue growth by effectively positioning the company's products or services within the marketplace.
Location. This role will be remote in Norway or the Netherlands.
What You'll Do (Key Responsibilities)
- Bring a high-ownership, self-starting mindset with a willingness to fill gaps, solve problems, and support the team. Thrive in ambiguity, step up without waiting for direction, and contribute beyond your role to drive shared success.
- Provide expert technical guidance to customers and sales peers regarding Armada’s products and services. Understand client challenges and propose appropriate solutions to meet their needs.
- Lead technical demonstrations, proof-of-concepts, and workshops to showcase features, functionalities, and benefits of the company’s offerings. Tailor demonstrations and execute workshops to address specific client challenges.
- Collaborate cross-functional to support sales, including customer engagements, technical scoping, and proposal development. Influence and align internal teams to drive solution strategy, resource prioritization, and successful business outcomes.
- Cultivate strong relationships with key client stakeholders, including technical decision makers and influencers. Serve as a trusted advisor through thought leadership, understanding their challenges, and providing tailored solutions based on technical business needs.
- Stay ahead of industry trends, competitive developments, and emerging technologies. Leverage market awareness to identify opportunities for product innovation and differentiation.
- Enhance field team understanding of technical concepts, product features, and selling strategies. Provide ongoing support and enablement of resources to empower sales representatives in their client interactions.
Required Qualifications
- Bachelor's degree in computer science, Engineering, or related field; advanced degree is a plus.
- 5+ years proven experience in pre-sales, sales engineering, or solution architecture role supporting technical products.
- Conceptual understanding of networking and connectivity fundamentals, including IP addressing, firewalls, SD-WAN, and satellite or cellular-based communication systems (e.g., Starlink, LTE/5G).
- Familiarity with cloud platforms, virtualization or containerization technologies, and modern enterprise infrastructure.
- Proficiency in at least one core technical domain such as AI/ML infrastructure, connected devices, or data center systems (see Technical Focus Areas below).
- Working knowledge of cloud platforms, modern networking concepts, and containerization or virtualization technologies.
- Excellent communication and presentation skills, with the ability to engage and influence both technical and non-technical audiences.
- Strong problem-solving mindset with the ability to navigate ambiguity and drive clarity.
- Self-starter who thrives in dynamic environments and effectively manages multiple priorities.
- Must be willing and able to travel, including potential international travel, as business needs to dictate.
Demonstrable Expertise in Technical Focus Areas
Primary Focus (Current Business Need): Modular Data Center Systems & Rack Solutions Architecture
We are currently prioritizing hiring profiles with strong expertise in modular and micro data center architectures. This includes the ability to design, integrate, and scale compute, storage, and networking systems within modular environments. Candidates should have solid systems integration experience, exposure to hybrid and distributed computing platforms (e.g., Azure Stack Edge), and familiarity with virtualization and containerization technologies such as VMware, Docker, and Kubernetes. The role requires translating customer requirements into reliable, scalable, and production-ready infrastructure solutions.
Secondary Exposure (Nice to Have): AI & Edge AI Solution Architecture
High-level understanding of AI and Edge AI solution design, including defining inputs (e.g., cameras, sensors), basic data quality considerations, and estimating compute requirements. Familiarity with AI frameworks (TensorFlow, PyTorch, ONNX) and awareness of real-world AI deployment considerations is beneficial but not the primary hiring focus.
Secondary Exposure (Nice to Have): Asset Management Systems & Integration Architecture
Basic experience or familiarity with connected device ecosystems, remote asset deployments, and telemetry integration. Exposure to IoT sensors, camera systems, and connectivity options such as cellular/5G, Starlink, or SD-WAN, along with common integration methods (REST APIs, WebSockets, SNMP), is a plus.
Preferred Qualifications
- Prior experience with MEDDPICC, Challenger Sale, Command of the Message etc.; and managing a sales process.
- Prior experience with MSPs, Telcos, Oil & Gas, or Utilities.
- Experience working with or selling physical products, including familiarity with logistics, supply chain operations, import/export processes, and customs requirements
#LI-Remote
You're a Great Fit if You're
- A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge
- A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude
- Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
- A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda
- Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you
Equal Opportunity Statement
At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.
Unsolicited Resumes and Candidates
Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.
Ready to apply?
Apply to Armada
Senior Mission Success Engineer, US Federal
Share this job
About the Company
Role Overview
The Senior Mission Success Engineer for US Federal is a hands-on, cleared technical leader responsible for deployment execution, post-deployment technical ownership, and long-term mission success across federal programs.
This role combines the execution depth of a Mission Success Engineer with the sustained ownership and accountability of a Technical Account Manager. Senior Mission Success Enginner lead deployments in FedRAMP-authorized and classified environments, remain embedded through authorization and stabilization, and continue as the primary technical owner throughout the program lifecycle.
This role reports into the Sr. Director of Customer Success & Delivery, US Federal. Success is measured by mission outcomes delivered, authorization milestones achieved, platform stability, customer trust, renewals, and program expansion.
This role will be based remotely in the United States.
Key Responsibilities
Cleared deployment execution and platform bring-up
- Lead end-to-end deployment of Armada platforms including Atlas, Galleon with AEP, and Leviathan AI Factory integrated with Bridge GPUaaS
- Execute deployments within classified facilities and FedRAMP-regulated environments
- Own infrastructure bring-up, platform configuration, security hardening, and production readiness validation
- Make real-time technical decisions across hardware, networking, Kubernetes, storage, and GPU layers within cleared constraints
Technical account ownership and mission success
- Serve as the primary technical point of contact for assigned federal programs post go-live
- Own the long-term technical success, stability, and operational posture of deployed environments
- Build trusted relationships with government engineers, mission owners, security teams, and integrators
- Act as Armada’s on-the-ground technical authority for federal customers
Joint Success Plan ownership
- Build, maintain, and actively drive Joint Success Plans (JSPs) for each assigned customer
- Align deployment milestones, platform adoption, and operational maturity to customer business objectives
- Use the Joint Success Plan as the primary framework for prioritization, execution, risk management, and value tracking
- Regularly review progress against success plans with customer stakeholders and Armada leadership
- Ensure JSPs inform deployment sequencing, adoption strategy, roadmap discussions, and expansion planning
- Surface risks, dependencies, and blockers early and drive resolution with clear ownership
FedRAMP, security, and accreditation execution
- Support deployments operating under FedRAMP Moderate and High requirements
- Partner with customer security and compliance teams on ATO, continuous monitoring, POA&M tracking, and audit readiness
- Ensure Armada deployments align with NIST 800-53 controls and agency-specific requirements
- Maintain strict adherence to clearance, need-to-know, and operational security standards
Time-to-value and mission enablement
- Accelerate time-to-value by enabling early mission workloads once authorization thresholds are met
- Support transitions from prototype, pilot, or IL environments into sustained production deployments
- Drive adoption of Atlas operational capabilities and Leviathan AI Factory workloads in support of mission needs
Operational excellence and reliability
- Ensure environments remain stable, secure, and production-ready
- Proactively identify operational risks, security gaps, or scaling constraints
- Coordinate with Product, Engineering, Security, and Support teams to resolve issues within federal constraints
Field leadership and mentorship
- Act as a senior technical presence in cleared environments, setting the standard for execution and professionalism
- Mentor junior cleared FDEs, CSEs, and delivery engineers
- Contribute to federal deployment standards, runbooks, and repeatable best practices
Cross-functional collaboration
- Partner closely with the Sr. Director of Customer Success & Delivery, Americas & US Federal on priorities and escalations
- Work with Product, Engineering, Security, Compliance, and Government Programs teams
- Provide structured field feedback to influence Armada’s federal product and delivery roadmap
Qualifications and Experience
- 8+ years of experience in infrastructure, platform engineering, SRE, forward-deployed engineering, or technical delivery roles in US Federal environments
- Active TS/SCI clearance required; Full Scope Polygraph strongly preferred
- Demonstrated experience supporting FedRAMP-authorized platforms, including ATO and continuous monitoring
- Strong technical foundation in AI infrastructure, edge compute, data center systems, cloud platforms, and GPU-accelerated workloads
- Proven ability to own both hands-on delivery and long-term program-level technical relationships
- Strong written and verbal communication skills in classified and executive settings
Preferred Experience
- Direct experience with FedRAMP Moderate or High environments
- Background supporting DoD, Intelligence Community, or federal civilian agencies
- Experience operating in disconnected, denied, or austere environments
- Experience scaling AI or compute platforms from prototype to mission-critical production
What Success Looks Like
- Federal customers operating stable, secure, FedRAMP-compliant and classified AI infrastructure in production
- Mutual Success Plans actively used as the system of record for mission execution and program health
- Authorization milestones met on schedule with minimal friction
- Programs renew and expand due to delivered mission value and operational trust
- Armada is viewed as a long-term, mission-critical AI infrastructure partner to the US Government
Compensation & Benefits
For U.S. Based candidates: To ensure fairness and transparency, the on-target earnings salary range for this role for candidates in the U.S. are listed, varying based on location experience, skills, and qualifications. In addition to the salary, this role will also be offered equity and subsidized benefits (details available upon request).
Benefits
- Medical, dental, and vision (subsidized cost)
- Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA)
- Retirement plan options, including 401(k) and Roth 401(k)
- Unlimited paid time off (PTO)
- 15 paid company holidays per year
#LI-Remote #HP-1
You're a Great Fit if You're
- A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge
- A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude
- Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
- A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda
- Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you
Equal Opportunity Statement
At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.
Unsolicited Resumes and Candidates
Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.
Ready to apply?
Apply to Armada
About the Company
About the Role
The AI Factory Customer Engineer plays a pivotal role in bridging the gap between customers and Armada's Product and Engineering teams. This role requires deep technical credibility, hands-on infrastructure experience, and strong interpersonal skills to translate complex AI infrastructure and data center architectures into clear, practical solutions for customers.
This role goes beyond traditional pre-sales. The Customer Engineer acts as the technical interface between customers and Armada Engineering, ensuring customer requirements, constraints, and feedback are accurately represented and incorporated into solution design and future platform evolution.
Armada's AI Factory serves a broad and growing set of customers across enterprise, industrial, and infrastructure-heavy verticals. A meaningful and growing subset of strategic targets includes AI-focused datacenter co-location providers and Neocloud operators which represent a primary segment where Armada's modular, liquid-cooled AI Factory is a compelling fit for capacity expansion and rapid deployment. Additionally, renewable energy operators who own or control significant land, power, and stranded energy assets are increasingly positioned to host or operate AI compute infrastructure at scale.
The ideal candidate brings an engineering-first mindset, strong data center and infrastructure expertise, particularly around liquid-cooling, modular data centers, Nvidia architecture, and the energy, curiosity, and positivity required to operate in fast-moving, ambiguous environments. This role is instrumental in driving adoption, trust, and long-term success for Armada's AI Factory offerings.
What You'll Do — Key Responsibilities
Core Technical Customer Engagement
- Act as the primary technical interface between customers and Armada's Product and Engineering teams, translating real-world requirements into actionable technical inputs.
- Provide expert technical guidance on Armada's AI Factory products, including Modular Data Centers (MDCs), liquid-cooled data center designs, and GPU-based systems from partners such as NVIDIA.
- Understand customer workloads deeply both current and future and advise on rack-level design, system architecture, and deployment tradeoffs.
- Lead technical demonstrations, proof-of-concepts, and workshops, tailoring content to customer constraints and operational realities.
- Cultivate trusted-advisor relationships with customer engineering, infrastructure, IT, OT, and security stakeholders.
- Enable field and sales teams by simplifying complex technical concepts into clear, customer-relevant narratives.
- Bring a high-ownership, self-starting mindset with the energy and curiosity to fill gaps, solve problems, and drive outcomes end-to-end.
Renewable Energy & Land-and-Power Operator Engagement
- Engage renewable energy operators, independent power producers, and upstream oil and gas companies (e.g., Chord Energy, Devon Energy, and similar) as a strategic and growing customer segment for Armada's AI Factory — helping them understand how their existing power generation capacity, land assets, and fiber infrastructure make them natural hosts for modular AI compute deployments.
- Articulate the value proposition of Armada's MDC platform to energy sector operators: rapid deployment timelines, self-contained power and cooling architecture, scalable capacity, and the ability to monetize stranded or excess power assets through AI compute hosting.
- Develop familiarity with the operational model of energy companies: power generation economics, land and lease structures, regulatory constraints, and the OT/IT boundary — and translate these into informed AI Factory deployment conversations.
- Navigate both the OT and IT stakeholder landscape within energy companies, building credibility with infrastructure, operations, and executive teams alike.
- Identify and communicate the specific deployment considerations relevant to energy sector environments: remote or off-grid locations, variable power availability, environmental and permitting requirements, and physical security constraints.
AI Datacenter Co-Lo & Neocloud Engagement
- Engage AI-focused datacenter co-location operators and Neocloud providers as a secondary but relevant customer segment, positioning Armada's AI Factory as a solution for rapid capacity expansion, modular overflow deployments, and high-density liquid-cooled compute environments.
- Develop sufficient familiarity with co-lo and Neocloud operational models — GPU cluster economics, high-density power and cooling requirements, multi-tenant compute, and deployment velocity expectations — to hold credible technical conversations and scope solutions appropriately.
- Collaborate with Sales to identify where AI Factory's modular, rapidly deployable infrastructure is most differentiated against co-lo and Neocloud alternatives, and tailor technical positioning accordingly.
Cross-Functional Collaboration & Field Strategy
- Collaborate cross-functionally with Sales, Product, and Engineering to support customer engagements, technical scoping, and solution design across all target verticals.
- Stay current on industry trends related to AI infrastructure, energy sector AI adoption, data center design, liquid cooling, and modular systems — and share insights internally to shape future product strategy.
- Bring positive energy, curiosity, and a collaborative mindset to every engagement — this role values technical excellence and having fun while building something meaningful.
Required Qualifications
- Bachelor's degree in Engineering, Computer Science, or a related field (or equivalent hands-on engineering experience). Advanced engineering degrees are a plus.
- 5+ years of relevant experience in data center engineering, infrastructure engineering, pre-sales, sales engineering, or solution architecture roles.
- Years of experience are less important than depth and relevance to data center and infrastructure topics.
- Strong understanding of compute, networking, and storage fundamentals, including AI and GPU-based systems (e.g., NVIDIA DGX, HGX, MGX, or similar).
- Hands-on experience with data center systems, including:
- Mechanical, electrical, and plumbing systems
- Cooling architectures, with direct experience or strong familiarity with liquid-cooled data centers and/or modular data centers (MDCs)
- Racking and rack-level design considerations
- Engineering mindset with curiosity about what lives inside the rack, including openness to evolving beyond current reference designs (e.g., B300 / GB300) as architectures evolve.
- Familiarity with cloud platforms, containerization, virtualization, and modern enterprise infrastructure.
- Ability to navigate and build credibility with both OT and IT stakeholders — particularly relevant when engaging energy, industrial, and infrastructure-heavy customers.
- Strong troubleshooting skills and comfort operating in complex, live customer environments.
- Excellent communication skills, with the ability to engage both highly technical engineers and non-technical stakeholders.
- Willingness to travel as required.
Demonstrable Expertise — Technical Focus Areas
Primary Focus: Modular & Liquid-Cooled Data Center Architecture
- Expertise in modular or micro data center design and deployment.
- Experience integrating compute, storage, and networking in space-, power-, and thermally-constrained environments.
- Knowledge of liquid cooling architectures, rack-level thermal management, and power density considerations.
- Ability to translate customer workload requirements into scalable, production-ready infrastructure designs.
Secondary Exposure (Nice to Have): Energy Sector & Industrial Infrastructure
- Familiarity with power generation, distribution, and energy economics — particularly relevant to operators considering AI compute hosting on owned or leased power assets.
- Understanding of remote or off-grid infrastructure deployment: power availability constraints, site connectivity, environmental permitting, and physical security considerations.
- Awareness of the OT/IT landscape in energy and industrial environments, including SCADA systems, operational reliability requirements, and safety-driven design constraints.
- Background in or exposure to oil and gas, upstream energy, independent power production, or renewable energy operations.
Secondary Exposure (Nice to Have): AI & Edge AI Infrastructure
- High-level understanding of AI workloads and GPU clusters.
- Familiarity with AI frameworks and real-world deployment tradeoffs.
- Awareness of edge and distributed AI architectures.
Secondary Exposure (Nice to Have): Data Center Systems
- Advanced exposure to electrical systems (PDUs, UPS, subsystems).
- Experience with water-based cooling systems, controls, and monitoring.
- Understanding of operational reliability, redundancy, and resilience.
Preferred Qualifications
- Experience supporting customers in regulated or mission-critical environments, including energy, utilities, oil and gas, or industrial infrastructure.
- Background in or direct exposure to renewable energy operators, independent power producers, or upstream oil and gas companies as a vendor, partner, or customer.
- Familiarity with how energy and land-and-power operators evaluate infrastructure hosting and co-location decisions, including site selection, power contracting, and capital deployment timelines.
- Background in Data Centers, MSPs, Telcos, Utilities, or industrial infrastructure.
- Experience working with physical infrastructure products, including logistics and deployment constraints.
- Some familiarity with AI datacenter co-location or Neocloud operating models, GPU cluster economics, or high-density compute environments.
- Familiarity with structured sales methodologies (MEDDPICC, Challenger, Command of the Message).
Compensation & Benefits
For U.S. Based candidates: To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed, varying based on location experience, skills, and qualifications. In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request).
Benefits
- Competitive base salary and equity
- Medical, dental, and vision (subsidized cost)
- Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA)
- Retirement plan options, including 401(k) and Roth 401(k)
- Unlimited paid time off (PTO)
- 14 paid company holidays per year
#LI-Remote
You're a Great Fit if You're
- A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge
- A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude
- Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
- A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda
- Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you
Equal Opportunity Statement
At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.
Unsolicited Resumes and Candidates
Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.
Ready to apply?
Apply to Armada
About the Company
About Armada
Armada delivers sovereign, industrial-grade AI infrastructure designed to operate where traditional cloud and centralized data center models fall short. Our platform includes Atlas as the control plane, Galleon modular edge data centers powered by the Armada Edge Platform, and Leviathan, Armada’s AI Factory, which partners with Bridge, our GPU-as-a-Service offering. Together, these capabilities enable customers to deploy, operate, and scale AI workloads securely, efficiently, and close to where data is generated.
ANZ is a strategically important region for Armada, spanning highly regulated industries, large-scale infrastructure, and geographically distributed operations. Customers expect senior technical partners who can move quickly from deployment to production while maintaining strong governance, security posture, and long-term ownership.
Role Overview
The Senior Forward Deploy Engineer for ANZ is a hybrid role responsible for hands-on deployment execution and ongoing technical account ownership across Australia and New Zealand. This role combines the execution depth of a Forward Deploy Engineer with the long-term ownership and customer leadership of a Technical Account Manager.
In the early phases of engagement, the Senior FDE leads platform bring-up, deployment execution, and initial workload onboarding. Once customers are live, the same engineer remains the primary technical owner, driving adoption, operational maturity, reliability, and expansion across sites and use cases.
This role reports into the Sr. Director of Customer Success & Delivery, EMEA & ANZ is intentionally designed to avoid fragmented ownership between deployment and post-sale success. Success is measured by speed to production, deployment quality, customer confidence, platform adoption, retention, and expansion.
Key Responsibilities
Deployment execution and platform bring-up
- Lead end-to-end deployment of Armada platforms including Atlas, Galleon with AEP, and Leviathan AI Factory integrated with Bridge GPU-as-a-Service
- Execute deployments across the ND8 region, including multi-country and multi-site environments
- Own infrastructure bring-up, platform configuration, and production readiness validation
- Make real-time technical decisions across hardware, networking, Kubernetes, storage, and GPU layers
Technical account ownership and customer success
- Serve as the primary technical point of contact for assigned ANZ customers post go-live
- Own the technical success plan, adoption milestones, and operational maturity roadmap
- Build trusted, long-term relationships with customer engineering, IT, platform, and security teams
- Lead technical governance discussions, roadmap planning, and platform optimization conversations
Joint Success Plan ownership
- Build, maintain, and actively drive Joint Success Plans (JSPs) for each assigned customer
- Align deployment milestones, platform adoption, and operational maturity to customer business objectives
- Use the Joint Success Plan as the primary framework for prioritization, execution, risk management, and value tracking
- Regularly review progress against success plans with customer stakeholders and Armada leadership
- Ensure JSPs inform deployment sequencing, adoption strategy, roadmap discussions, and expansion planning
- Surface risks, dependencies, and blockers early and drive resolution with clear ownership
Time-to-value acceleration and adoption
- Reduce time-to-try and time-to-value by unblocking workloads and accelerating early production use cases
- Drive adoption across new workloads, business units, and countries
- Identify expansion opportunities including additional Galleon deployments and Leviathan AI Factory capacity through Bridge GPUaaS
Operational excellence and reliability
- Ensure customer environments remain stable, secure, and production-ready
- Proactively identify scaling risks, architectural gaps, and technical debt
- Coordinate with Product, Engineering, and Support teams to resolve issues efficiently
Data residency, security, and regulatory execution
- Operate confidently within ND8 data residency, privacy, and security expectations including GDPR-aligned requirements
- Support customer security reviews, audits, and governance processes
- Balance global delivery standards with local regulatory nuance and customer expectations
- Maintain disciplined access control, documentation, and operational hygiene
Field leadership and mentorship
- Act as a senior technical presence for ANZ customers, setting standards for execution and customer engagement
- Mentor junior FDEs, TAMs, and delivery engineers as the region scales
- Contribute to deployment standards, runbooks, and repeatable best practices
Cross-functional collaboration
- Partner closely with the Sr. Director of Customer Success & Delivery, EMEA & ANZ on ANZ priorities and escalations
- Work with Sales on expansion planning while maintaining a trusted post-sale posture
- Provide structured feedback to Product and Engineering teams based on real-world ND8 customer usage
Qualifications and Experience
- 8+ years of experience in infrastructure, platform engineering, SRE, forward-deployed engineering, or technical account roles
- Proven ability to own both hands-on delivery and long-term customer technical relationships
- Deep technical expertise across Linux, networking, Kubernetes, storage, and GPU-accelerated compute
- Strong troubleshooting skills in live, production environments
- Experience supporting enterprise customers across Australia and or New Zealand
- Willingness to travel across ANZ as required
- Clear, confident communication style suited for executive and senior engineering audiences
Preferred Experience
- Experience with edge compute, modular data centers, or distributed infrastructure
- Familiarity with AI workloads, GPU clusters, and high-performance computing environments
- Exposure to regulated, sovereign, or government-adjacent environments
- Experience operating in geographically large or remote operating environments
- Comfort operating with ambiguity and owning outcomes end to end
What Success Looks Like
- ANZ customer environments reach production quickly and operate reliably
- The same engineer who deploys the platform remains the trusted technical owner long-term
- Adoption expands across workloads, sites, and countries without handoff friction
- Customers view Armada as a strategic AI infrastructure partner due to consistent technical ownership
You're a Great Fit if You're
- A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge
- A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude
- Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
- A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda
- Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you
Equal Opportunity Statement
At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.
Unsolicited Resumes and Candidates
Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.
Ready to apply?
Apply to Armada
About the Company
About Armada
Armada delivers sovereign, industrial-grade AI infrastructure designed to operate where traditional cloud and centralized data center models fall short. Our platform includes Atlas as the control plane, Galleon modular edge data centers powered by the Armada Edge Platform, and Leviathan, Armada’s AI Factory, which partners with Bridge, our GPU-as-a-Service offering. Together, these capabilities enable enterprises and governments to deploy, operate, and scale AI workloads securely, efficiently, and close to where data is generated.
Saudi Arabia is Armada’s operational anchor for the ME region. As we scale, we are intentionally building a team of senior, versatile operators who can both get systems live and own customers long-term. This role is designed for engineers who want full lifecycle ownership, not narrow scope.
Role Overview
The Senior Forward Deploy Engineer is a hybrid role responsible for hands-on deployment execution and ongoing technical account ownership for Armada customers across ME. This role combines the intensity and depth of a Forward Deploy Engineer with the long-term customer ownership of a Technical Account Manager.
In the early phases of customer engagement, this role leads deployments, platform bring-up, and initial workload execution. Once customers are live, the same engineer remains the primary technical owner, driving adoption, operational maturity, and expansion.
This role reports into the Sr. Director of Customer Success & Delivery, EMEA & ANZ and is intentionally designed to avoid split ownership between deployment and post-sale success. Success is measured by speed to production, customer confidence, platform adoption, retention, and expansion.
Key Responsibilities
Deployment execution and platform bring-up
- Lead end-to-end deployment of Armada platforms including Atlas, Galleon with AEP, and Leviathan AI Factory integrated with Bridge GPU-as-a-Service
- Own on-site and in-country deployments across Saudi Arabia and the broader ME region
- Own infrastructure bring-up, platform configuration, and production readiness validation
- Make real-time technical decisions across hardware, networking, Kubernetes, storage, and GPU layers
Technical account ownership and customer success
- Serve as the primary technical point of contact for assigned customers post go-live
- Own the technical success plan, adoption milestones, and operational maturity roadmap
- Build trusted, long-term relationships with customer engineering, IT, OT, and security team
- Lead technical governance discussions, roadmap planning, and platform optimization conversations
Joint Success Plan ownership
- Build, maintain, and actively drive Joint Success Plans (JSPs) for each assigned customer
- Align deployment milestones, platform adoption, and operational maturity to customer business objectives
- Use the Joint Success Plan as the primary framework for prioritization, execution, risk management, and value tracking
- Regularly review progress against success plans with customer stakeholders and Armada leadership
- Ensure JSPs inform deployment sequencing, adoption strategy, roadmap discussions, and expansion planning
- Surface risks, dependencies, and blockers early and drive resolution with clear ownership
Time-to-value acceleration and adoption
- Reduce time-to-try and time-to-value by unblocking workloads and accelerating early production use cases
- Drive adoption across new workloads, business units, and countries
- Identify expansion opportunities including additional Galleon deployments and Leviathan AI Factory capacity through Bridge GPUaaS
Operational excellence and reliability
- Ensure customer environments remain stable, secure, and production-ready
- Proactively identify scaling risks, architectural gaps, and technical debt
- Coordinate with Product, Engineering, and Support teams to resolve issues efficiently
Sovereign data, security, and compliance execution
- Operate confidently within Saudi and regional sovereign data and security requirements
- Support security validation, audits, and governance processes as required by customers
- Maintain disciplined access control, documentation, and operational hygiene
Field leadership and mentorship
- Act as a senior technical presence for ND8 customers, setting the bar for execution and professionalism
- Mentor junior FDEs, TAMs, and delivery engineers as the region scales
- Contribute to deployment standards, runbooks, and repeatable best practices
Cross-functional collaboration
- Partner closely with the Sr. Director of Customer Success & Delivery, EMEA & ANZ on customer priorities and escalations
- Work with Sales on expansion planning while maintaining a trusted post-sale posture
- Provide structured feedback to Product and Engineering based on real customer usage
Qualifications and Experience
- 8+ years of experience in infrastructure, platform engineering, SRE, forward-deployed engineering, or technical account roles
- Proven ability to own both hands-on delivery and long-term customer technical relationships
- Deep technical expertise across Linux, networking, Kubernetes, storage, and GPU-accelerated compute
- Strong troubleshooting skills in live, production environments
- Experience working directly with customers in regulated, high-stakes settings
- Willingness to travel across Saudi Arabia and the broader ME region
- Clear, confident communication style suitable for executive and engineering audiences
Preferred Experience
- Experience with edge compute, modular data centers, or distributed infrastructure
- Familiarity with AI workloads, GPU clusters, and high-performance computing environments
- Exposure to sovereign or national-scale customer environments
- Experience operating in Saudi Arabia, UAE or across ME
- Comfort operating with ambiguity and owning outcomes end to end
What Success Looks Like
- Customer environments reach production quickly and operate reliably
- The same engineer who deploys the platform remains the trusted technical owner
- Adoption expands across sites, workloads, and teams without handoff friction
- Customers view Armada as a strategic AI infrastructure partner due to consistent technical ownership
You're a Great Fit if You're
- A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge
- A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude
- Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
- A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda
- Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you
Equal Opportunity Statement
At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.
Unsolicited Resumes and Candidates
Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.
Ready to apply?
Apply to Armada
About the Company
About the Role
The AI Factory Customer Engineer plays a pivotal role in bridging the gap between customers and Armada's Product and Engineering teams. This role requires deep technical credibility, hands-on infrastructure experience, and strong interpersonal skills to translate complex AI infrastructure and data center architectures into clear, practical solutions for customers.
This role goes beyond traditional pre-sales. The Customer Engineer acts as the technical interface between customers and Armada Engineering, ensuring customer requirements, constraints, and feedback are accurately represented and incorporated into solution design and future platform evolution.
Armada's AI Factory serves a broad and growing set of customers across enterprise, industrial, and infrastructure-heavy verticals. A meaningful and growing subset of strategic targets includes AI-focused datacenter co-location providers and Neocloud operators which represent a primary segment where Armada's modular, liquid-cooled AI Factory is a compelling fit for capacity expansion and rapid deployment. Additionally, renewable energy operators who own or control significant land, power, and stranded energy assets are increasingly positioned to host or operate AI compute infrastructure at scale.
The ideal candidate brings an engineering-first mindset, strong data center and infrastructure expertise, particularly around liquid-cooling, modular data centers, Nvidia architecture, and the energy, curiosity, and positivity required to operate in fast-moving, ambiguous environments. This role is instrumental in driving adoption, trust, and long-term success for Armada's AI Factory offerings.
What You'll Do — Key Responsibilities
Core Technical Customer Engagement
- Act as the primary technical interface between customers and Armada's Product and Engineering teams, translating real-world requirements into actionable technical inputs.
- Provide expert technical guidance on Armada's AI Factory products, including Modular Data Centers (MDCs), liquid-cooled data center designs, and GPU-based systems from partners such as NVIDIA.
- Understand customer workloads deeply both current and future and advise on rack-level design, system architecture, and deployment tradeoffs.
- Lead technical demonstrations, proof-of-concepts, and workshops, tailoring content to customer constraints and operational realities.
- Cultivate trusted-advisor relationships with customer engineering, infrastructure, IT, OT, and security stakeholders.
- Enable field and sales teams by simplifying complex technical concepts into clear, customer-relevant narratives.
- Bring a high-ownership, self-starting mindset with the energy and curiosity to fill gaps, solve problems, and drive outcomes end-to-end.
Renewable Energy & Land-and-Power Operator Engagement
- Engage renewable energy operators, independent power producers, and upstream oil and gas companies (e.g., Chord Energy, Devon Energy, and similar) as a strategic and growing customer segment for Armada's AI Factory — helping them understand how their existing power generation capacity, land assets, and fiber infrastructure make them natural hosts for modular AI compute deployments.
- Articulate the value proposition of Armada's MDC platform to energy sector operators: rapid deployment timelines, self-contained power and cooling architecture, scalable capacity, and the ability to monetize stranded or excess power assets through AI compute hosting.
- Develop familiarity with the operational model of energy companies: power generation economics, land and lease structures, regulatory constraints, and the OT/IT boundary — and translate these into informed AI Factory deployment conversations.
- Navigate both the OT and IT stakeholder landscape within energy companies, building credibility with infrastructure, operations, and executive teams alike.
- Identify and communicate the specific deployment considerations relevant to energy sector environments: remote or off-grid locations, variable power availability, environmental and permitting requirements, and physical security constraints.
AI Datacenter Co-Lo & Neocloud Engagement
- Engage AI-focused datacenter co-location operators and Neocloud providers as a secondary but relevant customer segment, positioning Armada's AI Factory as a solution for rapid capacity expansion, modular overflow deployments, and high-density liquid-cooled compute environments.
- Develop sufficient familiarity with co-lo and Neocloud operational models — GPU cluster economics, high-density power and cooling requirements, multi-tenant compute, and deployment velocity expectations — to hold credible technical conversations and scope solutions appropriately.
- Collaborate with Sales to identify where AI Factory's modular, rapidly deployable infrastructure is most differentiated against co-lo and Neocloud alternatives, and tailor technical positioning accordingly.
Cross-Functional Collaboration & Field Strategy
- Collaborate cross-functionally with Sales, Product, and Engineering to support customer engagements, technical scoping, and solution design across all target verticals.
- Stay current on industry trends related to AI infrastructure, energy sector AI adoption, data center design, liquid cooling, and modular systems — and share insights internally to shape future product strategy.
- Bring positive energy, curiosity, and a collaborative mindset to every engagement — this role values technical excellence and having fun while building something meaningful.
Required Qualifications
- Bachelor's degree in Engineering, Computer Science, or a related field (or equivalent hands-on engineering experience). Advanced engineering degrees are a plus.
- 5+ years of relevant experience in data center engineering, infrastructure engineering, pre-sales, sales engineering, or solution architecture roles.
- Years of experience are less important than depth and relevance to data center and infrastructure topics.
- Strong understanding of compute, networking, and storage fundamentals, including AI and GPU-based systems (e.g., NVIDIA DGX, HGX, MGX, or similar).
- Hands-on experience with data center systems, including:
- Mechanical, electrical, and plumbing systems
- Cooling architectures, with direct experience or strong familiarity with liquid-cooled data centers and/or modular data centers (MDCs)
- Racking and rack-level design considerations
- Engineering mindset with curiosity about what lives inside the rack, including openness to evolving beyond current reference designs (e.g., B300 / GB300) as architectures evolve.
- Familiarity with cloud platforms, containerization, virtualization, and modern enterprise infrastructure.
- Ability to navigate and build credibility with both OT and IT stakeholders — particularly relevant when engaging energy, industrial, and infrastructure-heavy customers.
- Strong troubleshooting skills and comfort operating in complex, live customer environments.
- Excellent communication skills, with the ability to engage both highly technical engineers and non-technical stakeholders.
- Willingness to travel as required.
Demonstrable Expertise — Technical Focus Areas
Primary Focus: Modular & Liquid-Cooled Data Center Architecture
- Expertise in modular or micro data center design and deployment.
- Experience integrating compute, storage, and networking in space-, power-, and thermally-constrained environments.
- Knowledge of liquid cooling architectures, rack-level thermal management, and power density considerations.
- Ability to translate customer workload requirements into scalable, production-ready infrastructure designs.
Secondary Exposure (Nice to Have): Energy Sector & Industrial Infrastructure
- Familiarity with power generation, distribution, and energy economics — particularly relevant to operators considering AI compute hosting on owned or leased power assets.
- Understanding of remote or off-grid infrastructure deployment: power availability constraints, site connectivity, environmental permitting, and physical security considerations.
- Awareness of the OT/IT landscape in energy and industrial environments, including SCADA systems, operational reliability requirements, and safety-driven design constraints.
- Background in or exposure to oil and gas, upstream energy, independent power production, or renewable energy operations.
Secondary Exposure (Nice to Have): AI & Edge AI Infrastructure
- High-level understanding of AI workloads and GPU clusters.
- Familiarity with AI frameworks and real-world deployment tradeoffs.
- Awareness of edge and distributed AI architectures.
Secondary Exposure (Nice to Have): Data Center Systems
- Advanced exposure to electrical systems (PDUs, UPS, subsystems).
- Experience with water-based cooling systems, controls, and monitoring.
- Understanding of operational reliability, redundancy, and resilience.
Preferred Qualifications
- Experience supporting customers in regulated or mission-critical environments, including energy, utilities, oil and gas, or industrial infrastructure.
- Background in or direct exposure to renewable energy operators, independent power producers, or upstream oil and gas companies as a vendor, partner, or customer.
- Familiarity with how energy and land-and-power operators evaluate infrastructure hosting and co-location decisions, including site selection, power contracting, and capital deployment timelines.
- Background in Data Centers, MSPs, Telcos, Utilities, or industrial infrastructure.
- Experience working with physical infrastructure products, including logistics and deployment constraints.
- Some familiarity with AI datacenter co-location or Neocloud operating models, GPU cluster economics, or high-density compute environments.
- Familiarity with structured sales methodologies (MEDDPICC, Challenger, Command of the Message).
You're a Great Fit if You're
- A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge
- A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude
- Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
- A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda
- Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you
Equal Opportunity Statement
At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.
Unsolicited Resumes and Candidates
Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.
Ready to apply?
Apply to Armada
About the Company
About Armada
Armada delivers sovereign, industrial-grade AI infrastructure designed to operate where traditional cloud and centralized data center models fall short. Our platform includes Atlas as the control plane, Galleon modular edge data centers powered by the Armada Edge Platform, and Leviathan, Armada’s AI Factory, which partners with Bridge, our GPU-as-a-Service offering. Together, these capabilities enable enterprises and governments to deploy, operate, and scale AI workloads securely, efficiently, and close to where data is generated.
The ND8 region represents a strategically important market for Armada. Customers here are technically sophisticated, highly security-conscious, and often operate across multiple countries with strong expectations around data residency, sustainability, and operational excellence. Armada’s success in ND8 depends on senior engineers who can both execute deeply technical deployments and maintain long-term customer ownership.
Role Overview
The Senior Forward Deploy Engineer for ND8 is a hybrid role responsible for hands-on deployment execution and ongoing technical account ownership across the Nordic region. This role combines the execution depth of a Forward Deploy Engineer with the long-term ownership and customer leadership of a Technical Account Manager.
In the early phases of engagement, the Senior FDE leads platform bring-up, deployment execution, and initial workload onboarding. Once customers are live, the same engineer remains the primary technical owner, driving adoption, operational maturity, reliability, and expansion across multiple countries and sites.
This role reports into the Sr. Director of Customer Success & Delivery, EMEA & ANZ and is intentionally designed to avoid fragmented ownership between deployment and post-sale success. Success is measured by deployment quality, speed to production, customer confidence, platform adoption, retention, and expansion.
Key Responsibilities
Deployment execution and platform bring-up
- Lead end-to-end deployment of Armada platforms including Atlas, Galleon with AEP, and Leviathan AI Factory integrated with Bridge GPU-as-a-Service
- Execute deployments across the ND8 region, including multi-country and multi-site environments
- Own infrastructure bring-up, platform configuration, and production readiness validation
- Make real-time technical decisions across hardware, networking, Kubernetes, storage, and GPU layers
Technical account ownership and customer success
- Serve as the primary technical point of contact for assigned ND8 customers post go-live
- Own the technical success plan, adoption milestones, and operational maturity roadmap
- Build trusted, long-term relationships with customer engineering, platform, security, and data teams
- Lead technical governance discussions, roadmap planning, and platform optimization conversations
Joint Success Plan ownership
- Build, maintain, and actively drive Joint Success Plans (JSPs) for each assigned customer
- Align deployment milestones, platform adoption, and operational maturity to customer business objectives
- Use the Joint Success Plan as the primary framework for prioritization, execution, risk management, and value tracking
- Regularly review progress against success plans with customer stakeholders and Armada leadership
- Ensure JSPs inform deployment sequencing, adoption strategy, roadmap discussions, and expansion planning
- Surface risks, dependencies, and blockers early and drive resolution with clear ownership
Time-to-value acceleration and adoption
- Reduce time-to-try and time-to-value by unblocking workloads and accelerating early production use cases
- Drive adoption across new workloads, business units, and countries
- Identify expansion opportunities including additional Galleon deployments and Leviathan AI Factory capacity through Bridge GPUaaS
Operational excellence and reliability
- Ensure customer environments remain stable, secure, and production-ready
- Proactively identify scaling risks, architectural gaps, and technical debt
- Coordinate with Product, Engineering, and Support teams to resolve issues efficiently
Data residency, security, and regulatory execution
- Operate confidently within ND8 data residency, privacy, and security expectations including GDPR-aligned requirements
- Support customer security reviews, audits, and governance processes
- Balance global delivery standards with local regulatory nuance and customer expectations
- Maintain disciplined access control, documentation, and operational hygiene
Field leadership and mentorship
- Act as a senior technical presence for ND8 customers, setting the bar for execution and professionalism
- Mentor junior FDEs, TAMs, and delivery engineers as the region scales
- Contribute to deployment standards, runbooks, and repeatable best practices
Cross-functional collaboration
- Partner closely with the Sr. Director of Customer Success & Delivery, EMEA & ANZ on NB8 priorities and escalations
- Work with Sales on expansion planning while maintaining a trusted post-sale posture
- Provide structured feedback to Product and Engineering teams based on real-world ND8 customer usage
Qualifications and Experience
- 8+ years of experience in infrastructure, platform engineering, SRE, forward-deployed engineering, or technical account roles
- Proven ability to own both hands-on delivery and long-term customer technical relationships
- Deep technical expertise across Linux, networking, Kubernetes, storage, and GPU-accelerated compute
- Strong troubleshooting skills in live, production environments
- Experience supporting customers across multiple European countries
- Willingness to travel within the ND8 region as required
- Clear, confident communication style suited for executive and senior engineering audiences
Preferred Experience
- Experience with edge compute, modular data centers, or distributed infrastructure
- Familiarity with AI workloads, GPU clusters, and high-performance computing environments
- Exposure to regulated, sovereign, or government-adjacent environments
- Experience operating in Nordic or EU-regulated markets
- Comfort operating with ambiguity and owning outcomes end to end
What Success Looks Like
- ND8 customer environments reach production quickly and operate reliably
- The same engineer who deploys the platform remains the trusted technical owner long-term
- Adoption expands across workloads, sites, and countries without handoff friction
- Customers view Armada as a strategic AI infrastructure partner due to consistent technical ownership
You're a Great Fit if You're
- A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge
- A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude
- Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
- A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda
- Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you
Equal Opportunity Statement
At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.
Unsolicited Resumes and Candidates
Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.
Ready to apply?
Apply to Armada
About the Company
About the Role
The Senior Forward Deploy Engineer for AMER is a hybrid role responsible for hands-on deployment execution and ongoing technical account ownership across the United States and Canada. This role combines the execution depth of a Forward Deploy Engineer with the long-term ownership and customer leadership of a Technical Account Manager.
During early engagements, the Senior FDE leads platform bring-up, deployment execution, and initial workload onboarding. Once customers are live, the same engineer remains the primary technical owner, driving adoption, operational maturity, reliability, and expansion across sites and use cases.
This role reports into the Sr. Director of Customer Success & Delivery, Americas & US Federal and is intentionally designed to avoid fragmented ownership between deployment and post-sale success. Success is measured by speed to production, deployment quality, customer confidence, platform adoption, retention, and expansion.
Key Responsibilities
Deployment execution and platform bring-up
- Lead end-to-end deployment of Armada platforms including Atlas, Galleon with AEP, and Leviathan AI Factory integrated with Bridge GPUaaS
- Execute deployments across the United States and Canada, including multi-site and hybrid environments
- Own infrastructure bring-up, platform configuration, and production readiness validation
- Make real-time technical decisions across hardware, networking, Kubernetes, storage, and GPU layers
- Partners with clients to integrate Galleon infrastructure into end-to-end solutions and existing IT ecosystems
- Conduct field surveys to facilitate frictionless Galleon deployments
Technical account ownership and customer success
- Serve as the primary technical point of contact (L1) for assigned North American customers post go-live
- Own the technical success plan, adoption milestones, and operational maturity roadmap
- Build trusted, long-term relationships with account executives, customer engineering, HW and SW engineering, Product team, ,as well as data & AI teams
- Lead technical governance discussions, roadmap planning, and platform optimization conversations and collaborates with AEs to deliver QBRs
- Acts as primary contact during escalations
Joint Success Plan ownership
- Build, maintain, and actively drive Joint Success Plans (JSPs) for each assigned customer
- Align deployment milestones, platform adoption, and operational maturity to customer business objectives
- Use the Joint Success Plan as the primary framework for prioritization, execution, risk management, and value tracking
- Regularly review progress against success plans with customer stakeholders and Armada leadership
- Ensure JSPs inform deployment sequencing, adoption strategy, roadmap discussions, and expansion planning
- Surface risks, dependencies, and blockers early and drive resolution with clear ownership
Time-to-value acceleration and adoption
- Reduce time-to-try and time-to-value by unblocking workloads and accelerating early production wins
- Drive platform adoption across new workloads, business units, and sites
- Identify expansion opportunities including additional Galleon deployments and Leviathan AI Factory capacity through Bridge GPUaaS
- Drive improved operational efficiency by integrating workloads into the Marketplace for easier deployment
Operational excellence and reliability
- Ensure customer environments remain stable, secure, and production-ready
- Proactively identify scaling risks, architectural gaps, and technical debt
- Coordinate with Product, Engineering, and Support teams to resolve issues efficiently
Data residency, security, and regulatory execution
- Operate confidently within US and Canadian data residency, privacy, and security expectations
- Support customer security reviews, audits, and governance processes
- Balance global delivery standards with regional regulatory and customer requirements
- Maintain disciplined access control, documentation, and operational hygiene
Field leadership and mentorship
- Act as a senior technical presence for North American customers, setting the bar for execution and customer engagement
- Mentor junior FDEs, TAMs, and delivery engineers as the region scales
- Contribute to deployment standards, runbooks, and repeatable best practices
Cross-functional collaboration
- Partner closely with the Sr. Director of Customer Success & Delivery, Americas on priorities and escalations
- Work with Sales on expansion planning while maintaining a trusted post-sale posture
- Provide structured feedback to Product and Engineering teams based on real customer usage
Qualifications and Experience
- 8+ years of experience in infrastructure, platform engineering, SRE, forward-deployed engineering, or technical account roles
- Proven ability to own both hands-on delivery and long-term customer technical relationships
- Deep technical expertise across Linux, networking, Kubernetes, storage, and GPU-accelerated compute
- Strong troubleshooting skills in live, production environments
- Experience supporting large enterprise or public sector customers in the US and Canada
- Willingness to travel across North America as required
- Clear, confident communication style suited for executive and senior engineering audiences
Preferred Experience
- Experience with edge compute, modular data centers, or distributed infrastructure
- Familiarity with AI workloads, GPU clusters, and high-performance computing environments
- Exposure to regulated industries such as energy, manufacturing, telecom, healthcare, or public sector
- Experience operating in geographically large or multi-region environments
- Comfort operating with ambiguity and owning outcomes end to end
What Success Looks Like
- North American customer environments reach production quickly and operate reliably
- The same engineer who deploys the platform remains the trusted technical owner long-term
- North American customer environments reach production quickly and operate reliably
- The same engineer who deploys the platform remains the trusted technical owner long-term
- Adoption expands across workloads, sites, and regions without handoff friction
- Customers view Armada as a strategic AI infrastructure partner due to consistent technical ownership
Compensation & Benefits
For U.S. Based candidates: To ensure fairness and transparency, the on-target earnings salary range for this role for candidates in the U.S. are listed, varying based on location experience, skills, and qualifications. In addition to the salary, this role will also be offered equity and subsidized benefits (details available upon request).
Benefits
- Medical, dental, and vision (subsidized cost)
- Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA)
- Retirement plan options, including 401(k) and Roth 401(k)
- Unlimited paid time off (PTO)
- 15 paid company holidays per year
#LI-Remote #HP-1
You're a Great Fit if You're
- A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge
- A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude
- Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
- A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda
- Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you
Equal Opportunity Statement
At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.
Unsolicited Resumes and Candidates
Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.
Ready to apply?
Apply to Armada
About the Company
About the Role
The AI Factory Customer Engineer plays a pivotal role in bridging the gap between customers and Armada's Product and Engineering teams. This role requires deep technical credibility, hands-on infrastructure experience, and strong interpersonal skills to translate complex AI infrastructure and data center architectures into clear, practical solutions for customers.
This role goes beyond traditional pre-sales. The Customer Engineer acts as the technical interface between customers and Armada Engineering, ensuring customer requirements, constraints, and feedback are accurately represented and incorporated into solution design and future platform evolution.
Armada's AI Factory serves a broad and growing set of customers across enterprise, industrial, and infrastructure-heavy verticals. A meaningful and growing subset of strategic targets includes AI-focused datacenter co-location providers and Neocloud operators which represent a primary segment where Armada's modular, liquid-cooled AI Factory is a compelling fit for capacity expansion and rapid deployment. Additionally, renewable energy operators who own or control significant land, power, and stranded energy assets are increasingly positioned to host or operate AI compute infrastructure at scale.
The ideal candidate brings an engineering-first mindset, strong data center and infrastructure expertise, particularly around liquid-cooling, modular data centers, Nvidia architecture, and the energy, curiosity, and positivity required to operate in fast-moving, ambiguous environments. This role is instrumental in driving adoption, trust, and long-term success for Armada's AI Factory offerings.
What You'll Do — Key Responsibilities
Core Technical Customer Engagement
- Act as the primary technical interface between customers and Armada's Product and Engineering teams, translating real-world requirements into actionable technical inputs.
- Provide expert technical guidance on Armada's AI Factory products, including Modular Data Centers (MDCs), liquid-cooled data center designs, and GPU-based systems from partners such as NVIDIA.
- Understand customer workloads deeply both current and future and advise on rack-level design, system architecture, and deployment tradeoffs.
- Lead technical demonstrations, proof-of-concepts, and workshops, tailoring content to customer constraints and operational realities.
- Cultivate trusted-advisor relationships with customer engineering, infrastructure, IT, OT, and security stakeholders.
- Enable field and sales teams by simplifying complex technical concepts into clear, customer-relevant narratives.
- Bring a high-ownership, self-starting mindset with the energy and curiosity to fill gaps, solve problems, and drive outcomes end-to-end.
Renewable Energy & Land-and-Power Operator Engagement
- Engage renewable energy operators, independent power producers, and upstream oil and gas companies (e.g., Chord Energy, Devon Energy, and similar) as a strategic and growing customer segment for Armada's AI Factory — helping them understand how their existing power generation capacity, land assets, and fiber infrastructure make them natural hosts for modular AI compute deployments.
- Articulate the value proposition of Armada's MDC platform to energy sector operators: rapid deployment timelines, self-contained power and cooling architecture, scalable capacity, and the ability to monetize stranded or excess power assets through AI compute hosting.
- Develop familiarity with the operational model of energy companies: power generation economics, land and lease structures, regulatory constraints, and the OT/IT boundary — and translate these into informed AI Factory deployment conversations.
- Navigate both the OT and IT stakeholder landscape within energy companies, building credibility with infrastructure, operations, and executive teams alike.
- Identify and communicate the specific deployment considerations relevant to energy sector environments: remote or off-grid locations, variable power availability, environmental and permitting requirements, and physical security constraints.
AI Datacenter Co-Lo & Neocloud Engagement
- Engage AI-focused datacenter co-location operators and Neocloud providers as a secondary but relevant customer segment, positioning Armada's AI Factory as a solution for rapid capacity expansion, modular overflow deployments, and high-density liquid-cooled compute environments.
- Develop sufficient familiarity with co-lo and Neocloud operational models — GPU cluster economics, high-density power and cooling requirements, multi-tenant compute, and deployment velocity expectations — to hold credible technical conversations and scope solutions appropriately.
- Collaborate with Sales to identify where AI Factory's modular, rapidly deployable infrastructure is most differentiated against co-lo and Neocloud alternatives, and tailor technical positioning accordingly.
Cross-Functional Collaboration & Field Strategy
- Collaborate cross-functionally with Sales, Product, and Engineering to support customer engagements, technical scoping, and solution design across all target verticals.
- Stay current on industry trends related to AI infrastructure, energy sector AI adoption, data center design, liquid cooling, and modular systems — and share insights internally to shape future product strategy.
- Bring positive energy, curiosity, and a collaborative mindset to every engagement — this role values technical excellence and having fun while building something meaningful.
Required Qualifications
- Bachelor's degree in Engineering, Computer Science, or a related field (or equivalent hands-on engineering experience). Advanced engineering degrees are a plus.
- 5+ years of relevant experience in data center engineering, infrastructure engineering, pre-sales, sales engineering, or solution architecture roles.
- Years of experience are less important than depth and relevance to data center and infrastructure topics.
- Strong understanding of compute, networking, and storage fundamentals, including AI and GPU-based systems (e.g., NVIDIA DGX, HGX, MGX, or similar).
- Hands-on experience with data center systems, including:
- Mechanical, electrical, and plumbing systems
- Cooling architectures, with direct experience or strong familiarity with liquid-cooled data centers and/or modular data centers (MDCs)
- Racking and rack-level design considerations
- Engineering mindset with curiosity about what lives inside the rack, including openness to evolving beyond current reference designs (e.g., B300 / GB300) as architectures evolve.
- Familiarity with cloud platforms, containerization, virtualization, and modern enterprise infrastructure.
- Ability to navigate and build credibility with both OT and IT stakeholders — particularly relevant when engaging energy, industrial, and infrastructure-heavy customers.
- Strong troubleshooting skills and comfort operating in complex, live customer environments.
- Excellent communication skills, with the ability to engage both highly technical engineers and non-technical stakeholders.
- Willingness to travel as required.
Demonstrable Expertise — Technical Focus Areas
Primary Focus: Modular & Liquid-Cooled Data Center Architecture
- Expertise in modular or micro data center design and deployment.
- Experience integrating compute, storage, and networking in space-, power-, and thermally-constrained environments.
- Knowledge of liquid cooling architectures, rack-level thermal management, and power density considerations.
- Ability to translate customer workload requirements into scalable, production-ready infrastructure designs.
Secondary Exposure (Nice to Have): Energy Sector & Industrial Infrastructure
- Familiarity with power generation, distribution, and energy economics — particularly relevant to operators considering AI compute hosting on owned or leased power assets.
- Understanding of remote or off-grid infrastructure deployment: power availability constraints, site connectivity, environmental permitting, and physical security considerations.
- Awareness of the OT/IT landscape in energy and industrial environments, including SCADA systems, operational reliability requirements, and safety-driven design constraints.
- Background in or exposure to oil and gas, upstream energy, independent power production, or renewable energy operations.
Secondary Exposure (Nice to Have): AI & Edge AI Infrastructure
- High-level understanding of AI workloads and GPU clusters.
- Familiarity with AI frameworks and real-world deployment tradeoffs.
- Awareness of edge and distributed AI architectures.
Secondary Exposure (Nice to Have): Data Center Systems
- Advanced exposure to electrical systems (PDUs, UPS, subsystems).
- Experience with water-based cooling systems, controls, and monitoring.
- Understanding of operational reliability, redundancy, and resilience.
Preferred Qualifications
- Experience supporting customers in regulated or mission-critical environments, including energy, utilities, oil and gas, or industrial infrastructure.
- Background in or direct exposure to renewable energy operators, independent power producers, or upstream oil and gas companies as a vendor, partner, or customer.
- Familiarity with how energy and land-and-power operators evaluate infrastructure hosting and co-location decisions, including site selection, power contracting, and capital deployment timelines.
- Background in Data Centers, MSPs, Telcos, Utilities, or industrial infrastructure.
- Experience working with physical infrastructure products, including logistics and deployment constraints.
- Some familiarity with AI datacenter co-location or Neocloud operating models, GPU cluster economics, or high-density compute environments.
- Familiarity with structured sales methodologies (MEDDPICC, Challenger, Command of the Message).
You're a Great Fit if You're
- A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge
- A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude
- Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
- A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda
- Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you
Equal Opportunity Statement
At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.
Unsolicited Resumes and Candidates
Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.
Ready to apply?
Apply to Armada