Andromeda

Account Executive

• Manage a sales pipeline and forecast revenue effectively, with strong discipline around deal progression, qualification, and close planning.
• Own the full sales cycle for AI-native accounts—from outbound prospecting and first meetings through technical validation, commercial negotiation, and close.
• Interact with prospects and customers via Zoom, phone, and email with a high attention to customization, speed, and detail.
• Consistently achieve quarterly and annual revenue quotas across new logo and expansion opportunities.
• Diligently update and maintain clean pipeline data in CRM, including next steps, stakeholders, technical requirements, and forecast accuracy.
• Quickly learn and deeply understand our infrastructure stack (hardware + software), communicate our value proposition clearly, and handle objections in competitive situations.
• Develop a deep understanding of customer goals, pain points, and timelines (e.g., fundraising milestones, model training schedules, product launches, capacity constraints) and communicate priorities across the company.
• Partner closely with Solutions Engineers to run technical evaluations, demos, and POCs that align to customer success criteria.
• Build trusted relationships with technical and executive stakeholders, including founders, infrastructure leaders, ML engineers, and finance/procurement teams.
• Develop a deep understanding of target markets and industry dynamics, including GPU supply/demand trends, model lifecycle needs, and competitive infrastructure options.
• Travel up to 35% to meet customers and prospects, attend industry events, and participate in on-site meetings.

Engineering Manager

• Lead the technical organization behind Andromeda’s platform and operations
• Build the architecture, development, and operation of Andromeda Cloud, Rails, and OS
• Ensure platform stability, performance, and uptime
• Engage with customers and provide technical support
• Build a high-trust engineering team without bureaucracy
• Lead security and compliance initiatives

VP of Engineering

Solutions Engineer

• Partner with Sales to qualify opportunities, lead technical discovery, and shape evaluation plans tied to customer success criteria.
• Design and deliver compelling demos of our full stack—tailoring messaging for both technical and executive audiences.
• Own the technical POC process: define scope, success metrics, architecture, timeline, and stakeholder alignment; ensure clean handoffs into production.
• Build strong relationships with customer stakeholders, including engineering leaders, platform teams, and security/infra owners.
• Translate technical requirements into solution designs that map directly to business outcomes (latency, throughput, cost, reliability, security).
• Produce high-quality enablement assets (demo environments, evaluation playbooks, reference architectures, FAQs) to scale the team’s effectiveness.
• Provide high-signal feedback to Product/Engineering/Research based on recurring objections, feature gaps, and competitive dynamics.

LLM Engineer

• Design and develop core platform components, including infrastructure orchestration, provisioning, and lifecycle management solutions.
• Build robust APIs, services, and control planes that abstract over diverse infrastructure types (VMs, Kubernetes, bare metal, schedulers).
• Translate customer usage patterns into product requirements, delivering impactful features and improvements.
• Create automation and internal tooling to eliminate manual or ad-hoc operational work.
• Enhance reliability, performance, and observability at the platform level, emphasizing durable improvements over quick fixes.
• Collaborate with peer teams to define clear ownership boundaries between platform capabilities and customer-specific solutions.
• Write clean, maintainable, and well-documented code with a focus on long-term sustainability.
• Participate in technical design discussions and contribute to the architectural evolution of our platform.

Software Engineer – AI Infrastructure

DevOps Engineer

• Provision, configure, and operate Kubernetes-based clusters for customers across multiple providers
• Build automation and tooling to streamline cluster deployments and integrations
• Debug customer issues across networking, storage, scheduling, and system layers
• Improve reliability and scalability of both training and inference infrastructure
• Design and implement monitoring, alerting, and observability for critical systems
• Collaborate with engineering and product teams to plan and deliver infrastructure for new services
• Participate in on-call and incident response, leading postmortems and reliability improvements

Site Reliability Engineer – AI Infrastructure

• Conduct end-to-end profiling of training workloads to identify bottlenecks across GPU kernels, NCCL communication, and storage I/O
• Collaborate with systems engineers to improve scheduling efficiency, collective communication performance, and kernel execution
• Build and maintain high-fidelity tooling to monitor and visualize MFU, throughput, and cluster uptime
• Design technical processes that help the team operate effectively and avoid repeating performance regressions

Performance Engineer – AI Infrastructure

Product Manager

• Define and drive the product vision
• Own Andromeda’s product vision across multiple areas
• Spend significant time with AI labs, enterprises, and providers
• Own the product roadmap end-to-end
• Partner closely with Engineering
• Shape how the product is positioned and sold

Head of Product

Manager

• Match incoming leads from our sales team with internal capacity and external capacity in the market
• Maximize utilization of our compute resources
• Source and onboard new compute suppliers across the globe
• Source capacity based on customer needs and market trends
• Solve customer and supplier problems in a fast-moving, dynamic market
• Understand technical and commercial differences between suppliers to optimize our capacity funnel
• Develop a proactive compute strategy informed by market intelligence
• Negotiate cost with suppliers and other vendors
• Create and implement processes around capacity planning

Infrastructure Manager

• If you have firsthand experience working in AI infrastructure but don't see a role currently posted that you are qualified for, feel free to submit your resume here.
• If there is a future opportunity that we think aligns with your background, we will reach out.