At a Glance
- Tasks: Drive sales and partnerships by blending technical expertise with commercial strategy.
- Company: Join aion, the world's first AI infrastructure research lab, backed by top-tier VCs.
- Benefits: Competitive pay, flexible work environment, and opportunities for ownership and impact.
- Other info: Dynamic team culture with hybrid work model and global reach.
- Why this job: Be part of a mission-driven startup revolutionising AI infrastructure and make a real difference.
- Qualifications: 3-7+ years in GTM or Sales Engineering with a strong technical foundation.
The predicted salary is between 36000 - 60000 £ per year.
About Aion
Aion is the world's first and only AI infrastructure research lab: a full-stack solution for building, fine-tuning, and deploying AI at scale. Whether you're a startup founder, enterprise team, or independent developer, Aion gives you everything you need to go from concept to production in one seamless platform. By abstracting away infrastructure complexity, Aion unifies compute orchestration, training workflows, data pipelines, model versioning, and deployment into a single, streamlined experience. No more fragmented stacks or cloud lock-in, just fast, scalable, and accessible AI infrastructure. Led by serial entrepreneurs Jayden Watson and Christian Angermayer, Aion is well-funded by top-tier VCs and strategic partners. Headquartered in the U.K., we operate globally with core teams in London, SF, and NYC.
About The Role
As a Go-to-Market (GTM) Engineer, you will own the revenue-adjacent technical motion of Aion's GTM strategy. This is a sales- and partnerships-focused role that blends technical fluency with commercial execution. You will work directly with Aion's founders, sales leadership, and strategic partners to turn interest into pilots, pilots into customers, and customers into long-term platform adoption. This role is ideal for someone who enjoys being technical and commercial—equally comfortable in a whiteboard session with engineers or a deal discussion with decision-makers.
What You’ll Do
- Sales Enablement & Pipeline
- Technical GTM: Support sales conversations with technical depth—demos, architectures, proof-of-concepts
- Customer pilots: Scope, launch, and support trials and pilot deployments with startups and enterprises
- Deal acceleration: Remove technical friction from the sales cycle
- Partnerships & Alliances
- Strategic partners: Identify and build relationships with cloud providers, AI tooling companies, research labs, and ecosystem players
- Co-selling & co-marketing: Design joint GTM motions with partners (events, integrations, bundled offerings)
- Founder-level selling: Work closely with leadership on high-impact strategic deals
- Market Feedback Loop
- Customer insights: Feed real-world GTM and sales learnings back into Product and Engineering
- Use-case definition: Help define and refine ICPs, verticals, and core AI infrastructure use cases
- Metrics: Own GTM KPIs tied to pipeline, conversions, deal velocity, and revenue influence
Success Looks Like
- Clear, repeatable GTM motion for Aion
- Strong partner ecosystem with active co-selling
- Faster sales cycles and higher conversion rates
- Meaningful revenue and pipeline contribution
Requirements
- 3-7+ years in GTM, Sales Engineering, Partnerships, or Solutions Engineering
- Strong technical foundation (cloud, AI infra, developer tools, or data platforms)
- Comfortable discussing model training, inference, deployment, and infra tradeoffs
- Commercially sharp: understands how deals get done
- Builder mindset with high ownership and urgency
- Willing to travel for customers, partners, and strategic events
Benefits
- Join the ground floor of a mission-driven AI startup revolutionizing compute infrastructure
- Work with a high-caliber, globally distributed team backed by major VCs
- Competitive compensation and benefits
- Fast-paced, flexible work environment with room for ownership and impact
- Hybrid model: 3 days in-office, 2 days remote with flexibility to work remotely for part of the year.
In case you got any questions about the role please reach out to the hiring manager on LinkedIn or X.
GTM Engineer employer: AION
Aion is an exceptional employer that fosters a dynamic and innovative work culture, perfect for Software Engineers eager to make a significant impact in the AI landscape. With a focus on employee growth, Aion offers opportunities to collaborate with experienced engineers, engage in meaningful projects, and enjoy flexible work options alongside competitive compensation and wellness benefits. Join us in shaping the future of enterprise AI while being part of a fast-paced startup environment that values ownership and strategic thinking.
StudySmarter Expert Advice🤫
We think this is how you could land GTM Engineer
✨Get Involved in Data Science Meetups
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We think you need these skills to ace GTM Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at AION, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at AION. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at AION
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at AION!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
