Orbital

Product Marketing

• Own the US expression of Orbital’s positioning, adapting global messaging frameworks for US buyer personas, verticals, and competitive dynamics
• Plan and execute integrated US GTM campaigns in partnership with Demand Generation and Content colleagues, tailoring global themes for the US audience and competitive landscape
• Co-ordinate US product launch execution, including timelines, channel strategy, messaging for campaigns, product pages, and email sequences (translating from global launch narratives, where appropriate)
• Develop and maintain US-focused competitive content, including battlecards, competitor comparisons, objection handling guides, and one-pagers—as source material that the Sales Enablement team can translate into training and learning materials
• Translate customer success stories into compelling, field-ready case studies, proof points, and sales materials that reinforce Orbital’s positioning in the US market
• Contribute to post-sale adoption across the US customer base: in-app messaging, customer marketing, expansion campaigns, and upsell motions
• Sit in on US sales calls, debrief reps after losses, and feed US field insights back to the UK Lead to inform global positioning and competitive intelligence

Product Marketing Manager

Engineering Manager

• Own engineering of the Curie platform
• Architecture: Define and evolve the technical blueprint for Curie, ensuring scalability, security, and maintainability.
• Quality: Establish and enforce rigorous standards for code quality, testing, monitoring, and overall system reliability.
• Delivery: Drive efficient and predictable delivery of high-quality software features in alignment with product goals and timelines.
• Build and scale the team
• Hiring: Lead the recruitment process for new engineers, focusing on attracting top-tier talent that aligns with Orbital's technical and cultural requirements.
• Mentoring: Provide guidance, support, and professional development opportunities to the engineering team to foster continuous growth and skill enhancement.
• Establishing engineering culture as we grow internationally: Define, promote, and maintain a high-performance, collaborative, and inclusive engineering culture across all current and future global offices.

Content Manager

• Own and drive Orbital's content strategy with a clear line of sight to commercial outcomes - pipeline, lead conversion, and revenue acceleration - balancing long-term brand building with short-term GTM needs.
• Act as a strategic partner to Sales, identifying gaps in the buyer's journey and building the assets that move prospects forward, from awareness content to technical deal-closers.
• Use data and performance insights to measure effectiveness, iterate quickly, and make the case for where to invest next.
• Own Orbital's editorial voice, tone, and standards - establishing the processes (briefing, drafting, review, publication) and acting as an editorial partner who enables subject matter experts to contribute without sacrificing quality.
• Produce thought leadership connecting Orbital's materials innovation to pressing challenges in data centres, energy efficiency, cooling, and sustainability.
• Lead production of high-impact content across formats: presentations, product specs, technical blog posts, and scientific explainers - using AI tools to work efficiently without sacrificing rigour.
• Work cross-functionally with Sales, Product, Science, and Leadership to originate ideas and ensure content is accurate, relevant, and aligned to business priorities.
• Track developments across AI and data centre infrastructure to keep content timely and credible.
• Build Orbital's presence across key communities - data centre, infrastructure, AI research, chemistry, and engineering.
• Develop content that strengthens positioning with technically fluent decision-makers globally.
• Pioneer new ways to activate content and grow Orbital's reach.

Sales

• Ownership of the North America GTM strategy, ensuring alignment with global commercial priorities.
• Architect and lead the commercial strategy for high-value accounts, setting direction for sales, business development and GTM execution.
• Partner with the executive team to define market-leading pricing strategies in a rapidly evolving landscape.
• Cultivate executive-level relationships with decision-makers across priority accounts.
• Deeply understand client infrastructure requirements and align solutions to their evolving needs.
• Establish Orbital as the trusted strategic partner of choice for colocation and adjacent services.
• Shape Orbital’s North America market presence by identifying emerging opportunities and competitive inflection points.
• Drive cross-functional collaboration with technical, marketing and product leaders to develop integrated, high-impact solutions.
• Serve as a senior industry representative for Orbital, elevating the company’s profile through thought leadership and engagement at key events.
• Provide strategic insight on industry trends, customer feedback, and technological shifts to influence commercial strategy and future product direction.

Sales Director – North America

Full-stack Engineer

• Own engineering of the Curie platform
• Define and evolve the technical blueprint for Curie, ensuring scalability, security, and maintainability.
• Establish and enforce rigorous standards for code quality, testing, monitoring, and overall system reliability.
• Drive efficient and predictable delivery of high-quality software features in alignment with product goals and timelines.
• Lead the recruitment process for new engineers, focusing on attracting top-tier talent that aligns with Orbital's technical and cultural requirements.
• Provide guidance, support, and professional development opportunities to the engineering team to foster continuous growth and skill enhancement.
• Define, promote, and maintain a high-performance, collaborative, and inclusive engineering culture across all current and future global offices.

Tech Lead Manager

AI Research Scientist

• Architect cutting-edge AI systems for multi-scale design of physical technologies.
• Set exceptionally high technical standards and drive projects from prototype through to production deployment.
• Deliver high-impact AI projects across diverse domains.
• Rapidly upskill in new technical areas through close collaboration with domain experts.
• Design and implement novel ML architectures for complex scientific domains.

Staff Machine Learning Researcher

Machine Learning Engineer

• Set the technical bar and ensure engineering excellence
• Establish and maintain exceptionally high standards for code quality, system architecture and ML research and engineering practices through hands-on coding and technical review
• Design robust, well-engineered systems that others can build upon, balancing research velocity with production requirements
• Drive technical decisions on model selection, training approaches and deployment strategies
• Deliver high-impact AI projects across diverse domains
• Develop and deploy AI solutions across the entire technology development pipeline- computational chemistry simulations, agentic workflows and beyond
• Rapidly upskill in new technical areas through close collaboration with domain experts (no prior chemistry or materials experience required)
• Demonstrate strong implementation skills through hands-on development, contributing significantly to the codebase
• Balance research rigour with pragmatic engineering to deliver production-ready systems at scale
• Push the frontier of ML research
• Design and implement novel ML architectures for complex scientific domains, with work that meets publication standards at top-tier conferences
• Drive research projects from conception through to deployment, showing initiative and technical depth
• Engage continuously with the latest ML literature, staying current with developments in foundation models, generative AI and scientific machine learning

Staff Machine Learning Engineer

• Integrate frontier models into real production use cases to solve multimodal reasoning problems.
• Work in small teams of two to four people to direct AI agents and build agentic systems.
• Own meaningful features end-to-end - from initial architecture through to production delivery.
• Move new ideas from concept to customer-facing code within a matter of days.
• Apply visual AI to century-old legal documents, maps, and surveys that require deep reasoning.
• Continuously improve our engineering practices by using AI tools and modern techniques.

Lead Engineer

Customer Success Manager

• Own and Elevate Customer Support
• Manage inbound support channels and ensure timely, high-quality resolution.
• Build deep product literacy and become a trusted product expert internally.
• Identify recurring themes and share structured feedback with Product and Engineering.
• Support Adoption & Delivery
• Assist with onboarding, training sessions, and rollout initiatives.
• Prepare materials and coordinate customer enablement efforts.
• Join in-person client visits and implementation sessions.
• Build Domain & Commercial Expertise
• Learn how enterprise SaaS renewals and expansions are run.
• Observe and participate in executive-level conversations.
• Develop the communication skills and customer instincts required to progress into full account ownership.

Customer Success Associate

Business Development Rep

• Team Leadership & Management: Lead a New York–based BDR team (starting ~4–6 reps, scaling to ~6–8) with a strong focus on supporting new hires through their ramp period, ensuring team attainment rolls up to you.
• Onboarding Ownership ("Train the Trainer"): Partner closely with the hiring manager to learn the current onboarding program, then progressively take full ownership, running sessions end-to-end for future cohorts and continuously improving the experience.
• Coaching & Daily Enablement (Phone-first): Run a high-touch coaching cadence—weekly 1:1s, daily roleplays, call coaching, and scenario-based training—to build confidence and consistency in phone-led prospecting (a core driver of success for the team).
• Ramp & Productivity Management: Guide reps through a structured ramp (with clear early targets) and provide the ongoing support, accountability, and feedback needed to help them hit full productivity.
• Outbound Strategy & Creative Iteration: Bring fresh ideas for sequences, messaging, talk tracks, and personas—adding "new spokes to the wheel" while building on what's already working.
• Performance Tracking & Reporting: Monitor activity and outcomes across the team, using data to spot coaching opportunities, improve conversion rates, and keep progress visible and predictable.
• Tools, Workflow & Process Improvement: Help the team get the most out of HubSpot and key prospecting/enablement tools (e.g., Apollo, LinkedIn Sales Navigator, Jiminny), and contribute to evaluating/rolling out new tooling (e.g., dialers) as the org scales.
• Cross-functional Collaboration: Partner tightly with Sales leadership and the broader go-to-market team to align on messaging, feedback loops, and BDR-to-AE handoffs to ensure high-quality meetings and pipeline.

BDR Manager

Attorney

• Translate commercial real estate legal work into structured, repeatable workflows that can be understood by AI systems.
• Break down complex legal tasks (e.g. due diligence, lease analysis, title review) into discrete steps, rules, and decision logic.
• Collaborate with engineers and product teams to design, test, and refine AI-driven legal features.
• Review and improve AI outputs to ensure legal accuracy, clarity, and usefulness for practising lawyers.
• Help define best-in-class legal standards for AI-assisted real estate work.
• Stay close to how lawyers actually work, ensuring products are grounded in real-world practice rather than theory.

Real Estate Solicitor – Scottish Qualified, Legal Engineer

Recruitment

• Own the full hiring lifecycle for Sales, CS, revops, marketing and BD roles in the U.S.-from sourcing strategy to onboarding.
• Collaborate directly with GTM leadership to influence role design, headcount planning, and hiring priorities.
• Improve and scale hiring processes that are efficient, fair, and candidate-focused, ensuring operational excellence at every stage of the funnel.
• Play a vital role in building our U.S. team during a pivotal growth phase, with visibility and influence across the business.
• Work alongside cross-functional teammates building AI tools that redefine legal work in commercial real estate.