At a Glance
- Tasks: Help customers optimise their Airtable environments and unlock new capabilities.
- Company: Join a dynamic team at Airtable, where innovation meets collaboration.
- Benefits: Enjoy competitive pay, health perks, remote work options, and generous time off.
- Other info: Embrace a supportive culture that values diversity and personal growth.
- Why this job: Make a real impact by reshaping customer workflows and enhancing their productivity.
- Qualifications: Experience in B2B SaaS roles with strong problem-solving and communication skills.
The predicted salary is between 60000 - 80000 £ per year.
What You'll Do
- Conduct customer calls to diagnose structural and architectural issues in how customers have built their Airtable environments.
- Assess data modeling, linked record strategy, automation design, interface configuration, and identify where the architecture is limiting the customer's outcomes.
- Restructure and rebuild. You won't just advise, you'll get into the base and demonstrate better alternatives.
- Optimization at Airtable means reshaping how a customer's environment is built so it scales, performs, and unlocks capabilities they couldn't access before.
- Frame every recommendation around business impact. Customers need to understand why a restructured base matters to their workflow, not just what changed.
- Connect architectural decisions to the outcomes their team cares about.
- Identify opportunities to expand how customers use the platform, including automation workflows, interfaces for different user personas, and AI capabilities where they add value to the restructured environment.
- Surface patterns in which customers consistently outgrow their initial architecture and feed that signal back to product, engineering, and the broader support organization.
- Stay current on platform evolution, particularly around AI capabilities, automation architecture, and integration patterns, so your recommendations reflect what the platform can do today.
Who You Are
- You're a builder with an optimization mindset. You look at a messy database and see the clean architecture underneath it.
- You understand relational data modeling and can restructure a customer's environment with purpose, not just tidiness.
- You've worked in a consultative, customer-facing technical role in B2B SaaS, whether that's solutions consulting, technical support, customer engineering, or similar.
- You're comfortable leading a call, diagnosing a problem live, and walking a customer through the fix.
- You use AI in your own work to accelerate research, prototype solutions, and move faster through unfamiliar problems.
- You're a clear communicator who can adjust their explanations to a non-technical or a highly technical stakeholder on why their single-table design is limiting them and what linked records would unlock, without making them feel like they built it wrong.
- You're naturally curious about how people build things and why they make the choices they do.
- You ask good questions before you start recommending changes.
- You have experience with relational databases, automation logic, and workflow design.
- Familiarity with APIs, webhooks, and scripting is a plus.
What We Offer
- Travel: £7,500 annual allowance to cover your commute.
- Healthcare: Top-tier private medical, dental, and vision covered through AXA, with heavily subsidised plans available for dependants.
- Family planning: Up to £7,200 per year through Carrot to support your path to parenthood, plus a minimum of 16 weeks fully paid maternity or paternity leave.
- Childcare: Save up to 42% per child annually through our Workplace Nursery salary sacrifice scheme.
- Health & wellness: £150 every month to spend on whatever helps you feel your best, from fitness and mindfulness to hobbies and self-care.
- Free lunch: Enjoy a varied, catered lunch every day you're in the office.
- Home office: £750 one-off allowance to create a workspace that works for you.
- Time off: 25 days annual leave, plus 4 company-wide Recharge Days, and additional time off between Christmas and New Year as part of our Winter Break.
- Give back: 5 paid Volunteer Days each year to support causes you care about, individually or with your team.
At Airtable, we embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. We strive for Airtable to be a pleasant and supportive place to work, and to attract and retain a diverse team of talented people. We take great pride in holding everyone accountable for treating each other with dignity and respect. Airtable is committed to working with and providing reasonable accommodation to individuals with disabilities.
Base Optimization Specialist employer: Somi AI
Airtable is an exceptional employer that prioritises employee well-being and professional growth, offering a comprehensive benefits package that includes generous travel allowances, top-tier healthcare, and substantial family planning support. Our inclusive work culture fosters collaboration and innovation, empowering you to make impactful architectural decisions that enhance customer experiences while enjoying a supportive environment that values diversity and personal development.
StudySmarter Expert Advice🤫
We think this is how you could land Base Optimization Specialist
✨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 Somi AI!
✨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 Base Optimization Specialist at Somi AI.
✨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 Somi AI.
✨Apply Directly through Our Website
When you find a suitable opening like Base Optimization Specialist at Somi AI, 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 Base Optimization Specialist
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 Somi AI, 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 Somi AI. 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 Somi AI
✨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 Somi AI!
✨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.
