Solutions Engineer, Encord
+ Equity
3-5 days a week in office
Data platform for AI training
Open for applications
Data platform for AI training
21-100 employees
Open for applications
+ Equity
3-5 days a week in office
21-100 employees
Company mission
To solve AI alignment by tackling the real bottleneck: data quality.
Role
Who you are
- 1+ years of experience
- Previous experience as a Solutions Engineer is a plus
- A good understanding of using Python SDKs, APIs, SQL and cloud integrations is needed
- High attention to detail with a customer first approach
- A hacker mindset to solve customer problems quickly and efficiently
- Ability to estimate the scope of bug fixes and help debug code based on, e.g., stack traces from customers
- Deal-driven attitude with the ability to work well under pressure
- Beneficial if you have previous experience in a fast paced B2B startup
What the job involves
- As a Solutions Engineer at Encord, you will be working closely with customers to understand their requirements, gather feedback, and provide technical inputs to the engineering team
- You will be a focal point between the commercial and technical teams at Encord. Some of your responsibilities will be to:
- Support technical customer onboarding, including running technical sessions, importing/exporting data and labels into/out of our platform
- Build scripts and tools to quickly respond to pressing customer feature requests. Support the product and engineering team in converting these point solutions into production grade features available in the main platform
- Be the face of our engineering team with customers and prospects
- Work alongside the commercial teams during the entire customer lifecycle and support dealmaking with your technical knowledge
- Work with the Sales & ML team to prepare and set up product demos
Salary benchmarks
Our take
It has become increasingly clear that the next generation of AI applications will be driven by data-centric approaches concentrated around training data creation, management, and evaluation. Crucial within this process is the annotation or 'labelling' of data. Traditionally, such annotation has been left to human workers, which has historically made this part of the process of AI development expensive, slow, and difficult to scale.
Encord offers a computer vision annotation platform that automates a number of manual labelling tasks. Its suite of tools is designed for collaboration across roles and teams, from domain-expert annotators to project managers and machine learning engineers. This allows companies to iterate 10x faster, and develop and deploy high performing models in less time whilst saving on annotation costs.
Demand is clearly there: since its launch in 2020, Encord has facilitated the annotation of more than 100 million frames and images and served customers in verticals such as medical imaging, smart cities, sports analytics and satellite imaging. Furthermore, usage is scaling rapidly, with the number of labels generated on the platform growing ~70% month-over-month.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Aug 2024
$30m
SERIES B
Oct 2021
$12.5m
SERIES A
Total funding: $47.2m
Company benefits
- Flexible hours - Do your work when you are the most productive
- Hybrid - Work from home and in the office
- Fresh gear - We equip you with the newest Apple gear
- Health insurance - Your health is our top priority
- Time off - Generous PTO that allows you to recharge
- Visa sponsorship - We sponsor visas for exceptional candidates
- Team lunches - We buy lunch for the office on Fridays
- Cycle to work - Benefit from our cycle to work scheme
- Social events - Encord loves fun events with the team
Company HQ
North Beach, San Francisco
Leadership
Eric Landau
(CEO)With MScs from Harvard and Stanford, Eric spent 8+ years as a senior quant at DRW deploying ML at scale—before co-founding Encord to make data the core of AI development.
Ulrik Stig Hansen
(President)Ulrik spent 3+ years in Sales & Trading at J.P. Morgan and holds science master’s degrees from UCL and Imperial—before co-founding Encord to transform how AI handles data.
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