Engineering Manager, Trust Lab
AI/LLM Team
$180-250k
3+ days a week in office (Palo Alto, CA)
Online security solution
Be an early applicant
Online security solution
21-100 employees
Be an early applicant
$180-250k
3+ days a week in office (Palo Alto, CA)
21-100 employees
Company mission
To make the internet a safer place since the beginning.
Role
Who you are
- 3+ years of engineering management experience, preferably in AI or ML-focused teams
- Demonstrated experience delivering LLM-based solutions to production, ideally in content moderation, NLP, or safety-related domains
- Proficiency in Python; strong background in cloud-based deployment (especially AWS) and CI/CD processes
- Deep familiarity and track record of being hands on with model evaluation, including handling imbalanced datasets and defining success metrics for classification models
What the job involves
- As an Engineering Manager for our AI/LLM team, you will lead a group of talented engineers focused on the development and deployment of large language model (LLM) - based systems for content understanding and moderation
- This is a hybrid role combining people leadership and individual technical contribution
- You will help shape our technical vision, support infrastructure development, guide product alignment, and play a key part in delivering robust AI solutions to our partners
- In addition to managing the team’s performance and growth, you will actively contribute to architecture, experimentation, and implementation - especially where AI systems intersect with production deployment and real-world evaluation
- Manage and mentor a high-performing team of AI Engineers working on LLM-driven content labeling and moderation systems
- Design, build, and evaluate scalable training and inference infrastructure for LLMs and other AI models
- Partner closely with product, engineering, and policy teams to align technical solutions with customer needs and strategic goals
- Contribute to codebases by reviewing critical PRs, building prototypes, and resolving production issues
- Foster a strong engineering culture centered on quality, performance, reliability, and safety
Our take
The internet is often an equally incredible and terrifying place, with the vast amount of information that can be found beyond what we imagined. Online security and safety is most definitely something that users worry about. Trust Lab is a web security platform developer looking to create a safer internet for everyone.
The company looks to support its clients by mitigating customer risks within their business. The solution aids the reduction of things like misinformation and hate speech. Trust Lab is now the security provider for some of the largest online marketplaces, social media platforms and more, including the likes of the University of Michigan.
Founded in 2019, the company has grown an impressive list of partnerships. More recently, it entered a strategic partnership with In-Q-Tel, the U.S. intelligence community’s venture capital arm, where Trust Labs technology will be leveraged to look into crucial internet trends and narratives that could impact national security. The work Trust Labs are fronting is most definitely called for in this day and age and it’s exciting to see such impactful partnerships taking place so early on in the company's journey.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (1 round)
Jun 2023
$15m
SERIES A
Total funding: $15m
Company benefits
- Co-locate with one of our teams in Palo Alto, Berlin or London. Flexible work arrangements are an option
- Generous technology + education stipends and healthcare coverage
Company HQ
Evergreen Park, Palo Alto, CA
Leadership
Tom Siegel
(CEO)Co-founder and President for the Fishbowl Challenge. Worked for several years at Google and through several roles including Vice President of Trust & Safety and an Advisor.
Benji Loney
(CPO)Previously Chief of Staff at Reddit, Director, Global Community Development Strategy at ByteDance and VR/AR Ads Marketplace Launch + Growth at OmniVirt.
Shankar Ponnekanti
(CTO)Worked for 14 years as a Distinguished Engineer at Google.
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