AI Strategist (London)

AI Strategist (London)

London Full-Time 60000 - 80000 £ / year (est.) On-site
E

At a Glance

  • Tasks: Join us to bridge the gap between AI models and real business processes.
  • Company: Edra, a Series A startup backed by top VCs, is revolutionising enterprise AI.
  • Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
  • Other info: Dynamic environment with diverse challenges and excellent career advancement potential.
  • Why this job: Make a tangible impact by working directly with customers and shaping AI solutions.
  • Qualifications: 2+ years in tech roles, fluency with AI, and strong problem-solving skills.

The predicted salary is between 60000 - 80000 £ per year.

About Edra

Edra is solving one of the hardest problems in enterprise AI: AI models are generic but company processes are specific. We build AI agents that learn how processes actually run, and then run their operations. We're a Series A startup, backed by Sequoia and other leading VC firms, and we're growing our team in New York and London. We're a deeply technical team of engineers, AI researchers, and strategists with a high bar for talent and a shared belief that exceptional people are the foundation of everything great we'll build.

The Role

AI models are smart enough. What they don't have is an understanding of how a specific company’s business actually runs. The AI Strategist's job is to close that gap for Edra’s customers. You embed with a customer, learn how the work actually happens (not how the org chart says it happens), and find where Edra creates the most value. You scope the deployment, run it, measure it, and bring what you learn back to product and engineering, specific enough that they can build on it. The domain changes from one customer to the next—a service desk, a compliance team, a sales operation, a product org—and the role looks different at every customer deployment. This role is operational and it’s for builders. It is not account management, project management, or consulting. In a single day you might go from working with a customer's raw operational data, to prototyping with customer users, to a product prioritization debate with engineering, and you need to be credible in all three rooms.

What You'll Do

  • Embed with the team that runs a core part of the customer's business, and learn how the work actually gets done, including the parts no process doc captures.
  • Scope and run the deployment from the first data pull to a measured result. Decide what data goes in, what comes out, and what success looks like. Start narrow (one process, one team), prove value there, then expand.
  • Manage relationships with senior stakeholders. Set expectations, and turn the most demanding executive in the room into your champion.
  • Bring findings back to product and engineering in a form they can act on. Think product-forward about what Edra should build next, grounded in patterns you see in the field.
  • Build and run demos, and present results and proposals to everyone from the analyst doing the work to the C-suite executive signing the contract.
  • Spot the patterns across deployments that point to new domains Edra can move into.

What We’re Looking For

  • 2+ years in a deployment, solutions, or customer-facing product role at a high-growth technology company.
  • Fluency with AI. You already use these tools in your own work and have a feel for where they're strong and where they fall apart on messy, real-world inputs.
  • You have experience operating independently in unstructured environments, and have owned outcomes, not just tasks.
  • Dropped into an unfamiliar problem, your instinct is to ask questions and break it down before pitching a solution.
  • You treat a skeptical operator's objections as rational, because they usually are, and you'd rather spend a day watching someone work than read their process doc.
  • You're comfortable working directly with messy operational data, and you draw conclusions from it that hold up to scrutiny.
  • You have product instinct. You can connect what you see in the field to what's worth building, and you know the difference between a one-off ask and a real pattern.
  • You can hold a room. You turn an unrealistic executive demand into a workable plan without picking a fight, and you manage up and sideways in the same conversation.
  • You communicate with precision. You structure your thinking, choose concrete words over abstractions, and are upfront when you don't know something.

Don't check every box? We'd still love to hear from you. We're looking for exceptional people with unique skills and interests, and we know that great people have different backgrounds and skillsets.

Bonus Points

  • Time spent inside the systems where operational work lives: Salesforce, ServiceNow, SAP, Jira, or similar.
  • You've worked somewhere deployment and product thinking were the same job.
  • Comfort with Python, SQL, or similar for working with data directly.
  • You've helped build a new category, not just added features to an existing one.

A Few Details

Edra is an equal opportunity employer and we encourage applications from individuals of all backgrounds. Edra does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital status, sexual orientation, gender identity, veteran status, or any other legally protected characteristic.

AI Strategist (London) employer: Edra

Edra is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about AI and its real-world applications. Located in the vibrant tech landscape of the UK, we offer our employees ample opportunities for professional growth, collaboration with talented teams, and the chance to make a tangible impact on business processes. Join us to be part of a forward-thinking startup where your contributions are valued and rewarded.

E

Contact Details:

Edra Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Strategist (London)

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Edra!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Strategist (London) at Edra.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Edra.

✨Apply Directly through Our Website

When you find a suitable opening like AI Strategist (London) at Edra, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace AI Strategist (London)

AI Fluency
Operational Data Analysis
Stakeholder Management
Deployment Scoping
Product Instinct
Communication Skills
Problem-Solving Skills

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 Edra, 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 Edra. 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 Edra

✨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 Edra!

✨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.