Solutions Engineer, Encord
+ Equity
3+ days a week in office
Data platform for AI training
Be an early applicant
Data platform for AI training
101-200 employees
Be an early applicant
+ Equity
3+ days a week in office
101-200 employees
Company mission
To solve AI alignment by tackling the real bottleneck: data quality.
Role
Who you are
- 2-3+ years of experience in a customer-facing role within an AI business, such as Solutions Engineering, Solutions Architecture, or Technical Account Management
- Expert-level proficiency in Python is a must. You have deep, hands-on 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 just as easily simplify complex concepts for senior decision-makers
- Strong technical command of modern cloud infrastructure (GCP, AWS, Azure) and machine learning concepts
- A "hacker mindset" with a strong engineering foundation: you are a creative problem-solver who builds robust, scalable, and efficient scripts and integration workflows to overcome technical hurdles
- A solution-driven and customer-obsessed 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: Hands-on experience working with multimodal AI, sensor-fusion, physical-AI, LiDAR data, or in the robotics industry
What the job involves
- As a Solutions Engineer at Encord, you will be the core technical expert and problem-solver for our most complex customers. You are the engineering-focused 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
- Partner with Account Executives and the ML team to lead the technical strategy for complex, enterprise sales cycles and co-own the technical win
- Lead deep technical discovery sessions with a wide range of stakeholders (from ML Engineers to MLOps leaders) to not only uncover business pain but to architect a complete technical solution and integration path
- Architect, build, and deliver highly-technical, customized product demonstrations and proof-of-concepts (POCs) that solve specific, complex customer problems
- Own the end-to-end technical implementation of POCs, writing robust, production-quality Python scripts for complex data ingestion, pre/post-processing, dataset management, and custom platform integrations
- Act as the key technical advisor to prospects, expertly guiding them through security, architecture, and integration evaluations, particularly 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, non-technical stakeholders (Directors, VPs, CTOs)
- Serve as the "voice of the customer" to our Product and Engineering teams, channeling detailed, technical feedback from complex enterprise clients to help shape the product roadmap
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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