Senior Engineering Manager, Labelbox
$220-250k
Data training platform for ML applications
Be an early applicant
Data training platform for ML applications
101-200 employees
Be an early applicant
$220-250k
101-200 employees
Company mission
To build the best products for humans to advance artificial intelligence.
Role
Who you are
- Bachelor’s degree in computer science or related field. Advanced degree preferred
- 8+ years of work experience in a software company in full-stack development, including backend
- 3+ years of leadership experience managing one or more highly technical teams
- Demonstrated experience in project management and tools such as Jira
- Experience with agile software development and exhibited end-to-end ownership of projects
- A disciplined approach to software development with focus on testing and quality
- Extensive software design and architecture skills in large-scale systems, including APIs, pub-sub frameworks, designing database schemas, data migrations
- Proficiency in programming languages such as TypeScript, Java, Python
- Experience working with cloud computing platforms and data processing technologies
- Excellent communication and collaboration skills
- Thrive in a fast-paced environment with a willingness to dive deep and to get things done
Desirable
- Experience with front-end frameworks such as React
- Experience leveraging large language models such as Open AI GPT-4, Google Gemini, etc. to build product features and capabilities
- Working knowledge of AI services APIs including text to speech, speech to text, translation, transcription, etc
What the job involves
- As an engineering manager for the Alignerr engineering team at Labelbox, you will lead and grow a team working on building a scalable platform that enables hiring, onboarding, billing/payment management of highly skilled individuals in specialized domains from across the world, to train and tutor AI
- You will manage the day to day running of the team, including sprint planning, daily scrums, 1:1s, etc
- You will also bring to the table domain knowledge in full-stack development and related tooling
- You will work closely with sister teams across the engineering organization to collaborate on key initiatives
- This role expects the team manager to be technically sound with domain knowledge in full-stack frameworks (including backend development) as well as knowledge of AI systems which are used in developing the Alignerr applications
- Drive engineering execution for your team through guidance and technical leadership
- Collaborate with cross-functional teams to prioritize work items, track progress and deliver on commitments
- Prioritize tasks, lead the release, and sprint planning efforts
- Recruit and grow a high-performing engineering team
- Work with each engineer in the team on a career progression plan. Identify and address skill gaps
- Interested and able to be a hands-on contributor during the entire development cycle from conception and design through release
- Brainstorm with engineers on system design and architecture
- Unblock and guide the team to ensure adherence to commitment deadlines and quality standards
- Interface and communicate regularly with senior management and technical architects
- Work with the broader engineering organization to ensure that the infrastructure and tools we build are performant, scalable, reliable, and secure
- Engage with stakeholders, including customers, to understand their needs, gather requirements, and translate into planned deliverables
- Contribute to technical documentation
- Stay abreast of industry trends and emerging technologies
Our take
Labelbox offers a web service and API helping companies better manage the process of annotating and labeling data used for machine learning (ML). This reduces costly and labor-intensive human data labeling, a major stumbling block for the increasing number of larger companies looking to deploy ML at scale.
Labelbox offers automated labeling as a means of boosting productivity, which puts it in direct competition with Scale AI, a company valued at over $7 billion. Founded in 2018, the relatively young Labelbox will have to find a compelling way of distinguishing itself, such as by addressing the ethical issues faced in data labeling, The company emphasizes that its product addresses the problem of bias by working as a sort of auditable record, and offers quality assurance systems to help identify it.
Labelbox has remained focused on streamlining its capabilities to raise its value in line with the rapidly growing market. The company's global expansion efforts have significantly widened its potential client base, the company has also collaborated with Google to make access to its platform easier.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Jan 2022
$110m
SERIES D
Feb 2021
$40m
SERIES C
Total funding: $188.9m
Company benefits
- Flexible vacation policy (we don't count PTO Days)
- 401k Program
- College savings account
- HSA
- Daily lunches paid for by the company (especially convenient while working from home)
- Virtual wellness and guided meditation programs
- Dog-friendly office
- Regular company social events (happy hours, off-sites)
- Professional development benefits and resources
- Remote friendly (we hire in-office and remote employees)
Company values
- Make Customers Win - We find great pleasure in creating solutions for our customers. By working with us, our customers are at the forefront of industrial machine learning
- Craftsmanship - Craftsmanship is the fine balance between perfection and a solution to the given constraints. To be a craftsman is to be consumed in a problem and to create your best expression of work as a result
- Seek To Understand - The machine learning industry is growing and evolving rapidly as it begins to transform every industry. We must stay humble and embrace that we have so much more to learn. We seek to understand first so that we build the most impactful solutions
Company HQ
Mission District, San Francisco, CA
Articles
Leadership
Brian Rieger
(COO)Began as an Engineering Intern at Hudson Technologies. Co-founded Infinity Aerospace. Was an Aerodynamics Engineer at Boeing. Worked in Data Science for World Fuel Services.
Manu Sharma
(CEO)Masters in Astronautical Engineering from Stanford. Founder & CEO of Nuovo Wind. Founder & CEO of Ardulab/Infinity Aerospace. Worked at DroneDeploy for over 3 years, from Drone Engineer to Product Manager. Was a Product Manager at Planet.
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