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For Companies At a Glance
- Tasks: Engage with customers, gather feedback, and support technical onboarding.
- Company: Join Encord, a fast-growing AI infrastructure startup focused on data quality.
- Benefits: Enjoy competitive salary, equity, 25 days leave, and a vibrant office culture.
- Why this job: Be part of cutting-edge AI projects and grow in a dynamic environment.
- Qualifications: 1+ years experience, Python, APIs, SQL knowledge preferred; passion is key!
- Other info: Open to diverse backgrounds; growth opportunities abound as we expand rapidly.
The predicted salary is between 42000 - 84000 ÂŁ per year.
About UsAt Encord, we\âre building the AI infrastructure of the future. The biggest challenge AI companies face today is all about data quality. In fact, the success of any AI application today relies on the quality of a model\âs training data â and for 95% of teams, this essential step is both the most costly and the most timeâconsuming in getting their product to market.
As exâcomputer scientists, physicists, and quants, we felt firstâhand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord.
We are a talented and ambitious team of 100+ working at the cutting edge of computer vision and deep learning, backed by top investors including CRV and Y Combinator. Our leadership includes industry veterans such as Luc Vincent, former VP of AI at Meta. We are one of the fastest growing companies in our space, consistently rated as the best tool in the market by our customers. With big plans ahead, we are looking for a rockstar Machine Learning Solutions Engineer to join us in building our GTM team.
The RoleAs a Solutions Engineer at Encord, you will be the core technical expert and problemâsolver for our most complex customers. You are the engineeringâfocused counterpart to the commercial team, partnering with Account Executives to architect and implement solutions for prospects on the cutting edge of AI.
You will be the expert on how our platform integrates and scales, establishing technical credibility and guiding prospects through complex evaluations, especially for applications in robotics, autonomous systems, and multimodal AI. You are both a deep technical builder and an expert business value translator.
Responsibilities
Partner with Account Executives and the ML team to lead the technical strategy for complex, enterprise sales cycles and coâown the technical win.
Lead deep technical discovery sessions with a wide range of stakeholders (from ML Engineers to MLOps leaders) to uncover business pain and architect a complete technical solution and integration path.
Architect, build, and deliver highly technical, customized product demonstrations and proofâofâconcepts (POCs) that solve specific, complex customer problems.
Own the endâtoâend technical implementation of POCs, writing robust, productionâquality Python scripts for complex data ingestion, pre/postâprocessing, dataset management, and custom platform integrations.
Act as the key technical advisor to prospects, expertly guiding them through security, architecture, and integration evaluations, especially on complex data pipelines involving multimodal data, LiDAR, or robotics sensor data.
Translate complex technical architectures and findings into clear, persuasive value propositions for senior, nonâtechnical stakeholders (Directors, VPs, CTOs).
Serve as the \âvoice of the customer\â to our Product and Engineering teams, channeling detailed, technical feedback from complex enterprise clients to help shape the product roadmap.
About You
2â3+ years of experience in a customerâfacing role within an AI business, such as Solutions Engineering, Solutions Architecture, or Technical Account Management.
Expertâlevel proficiency in Python is a must. You have deep, handsâon experience building and debugging scripts and solutions using Python SDKs and REST APIs.
Excellent communication and presentation skills . You can confidently command a room of engineers and simplify complex concepts for senior decisionâmakers.
Strong technical command of modern cloud infrastructure (GCP, AWS, Azure) and machine learning concepts.
A \âhacker mindset\â with a strong engineering foundation: you are a creative problemâsolver who builds robust, scalable, and efficient scripts and integration workflows to overcome technical hurdles.
A solutionâdriven and customerâobsessed mindset . While you understand commercial goals, your passion is for solving complex technical problems and ensuring customer success.
Ability to translate value between technical and commercial stakeholders, both with prospects and internally within Encord.
Beneficial
Handsâon experience working with multimodal AI, sensorâfusion, physicalâAI, LiDAR data, or in the robotics industry.
What We Offer
Competitive salary and equity in a hyperâgrowth business.
Strong inâperson culture: most of our team is in the office 3+ days a week.
Room to grow into anything you choose to â a year ago we were 50 people, now we\âre 100+.
We\âll be growing insanely fast over the next 24 months and you\âll have all the opportunities for growth as you can handle.
25 days annual leave a year + public holidays.
Seniority LevelMidâSenior level
Employment TypeFullâtime
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Solutions Engineer employer: Encord
Contact Detail:
Encord Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Solutions Engineer
â¨Tip Number 1
Familiarise yourself with Encord's products and services. Understanding their AI infrastructure and how they tackle data quality challenges will help you engage in meaningful conversations during interviews.
â¨Tip Number 2
Brush up on your technical skills, especially in Python, APIs, and SQL. Being able to demonstrate your proficiency in these areas will show that you're ready to hit the ground running as a Solutions Engineer.
â¨Tip Number 3
Network with current or former employees of Encord. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach during the application process.
â¨Tip Number 4
Prepare to discuss real-world scenarios where you've solved customer problems or improved processes. This will highlight your problem-solving skills and customer-first mindset, both of which are crucial for the role.
We think you need these skills to ace Solutions Engineer
Some tips for your application đŤĄ
Understand the Role: Before applying, make sure to thoroughly read the job description for the Solutions Engineer position at Encord. Understand the key responsibilities and required skills, such as experience with Python SDKs, APIs, and SQL.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise any previous roles as a Solutions Engineer or similar positions, and showcase your technical abilities and customer-focused mindset.
Craft a Compelling Cover Letter: Write a cover letter that not only expresses your enthusiasm for the role but also demonstrates your understanding of Encord's mission. Mention how your background in AI and data quality can contribute to their goals.
Showcase Problem-Solving Skills: In your application, provide examples of how you've successfully solved customer problems in the past. Highlight your 'hacker mindset' and ability to work under pressure, as these traits are essential for the Solutions Engineer role.
How to prepare for a job interview at Encord
â¨Understand the Role
Before your interview, make sure you thoroughly understand the responsibilities of a Solutions Engineer at Encord. Familiarise yourself with how they bridge the gap between technical and commercial teams, and be ready to discuss how your skills align with these requirements.
â¨Showcase Your Technical Skills
Be prepared to demonstrate your knowledge of Python SDKs, APIs, SQL, and cloud integrations. You might be asked to solve a technical problem or explain how you've used these tools in past experiences, so brush up on relevant projects you've worked on.
â¨Emphasise Customer-Centric Thinking
Encord values a customer-first approach, so be ready to share examples of how you've successfully addressed customer needs in previous roles. Highlight your attention to detail and problem-solving mindset, as these are crucial for the position.
â¨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your ability to handle real-world challenges. Think about situations where you've had to quickly respond to customer requests or troubleshoot issues, and be ready to discuss your thought process and outcomes.
