Company Intro
- Backed by a16z and other top-tier funds in Silicon Valley.
- building the monetization layer for the next generation of GenAI traffic.
- mission: build the native ads system for the GenAI age.
1. Generative AI is not only a form of intelligence, but also a fundamentally superior form of content, that is more expressive, more engaging, and personalized than traditional static content. It will take increasing large amount of consumer attention from the legacy platforms.
2. Where there is consumer attention, there will be ads. We organize the world's information in the most economic way.
Hiring manager: Jason is the CEO and co-founder of the company. He has a background in NLP research, tech startup, and ads system, and is fascinated by the software paradigm shifts brought by new technology.
Our values
1. long-term thinking & integrity
1. Integrity leads to better results in the long term, it forces us to not take shortcuts, and focus on actual high-quality growth and build our core competence.
2. Long-term successful company cannot be built from greedy optimization (constantly optimize for short-term objectives for each step in his history), and it requires taking the courage to forgo short-term interest
2. move fast, break things, and learn from it
1. We're building in the cutting edge space. There will be trial and errors and we learn from that. We want people to have bravery and initiative to make these experiments.
2. Bad consequences are acceptable, as long as the decision is well-thought of and gives us learning.
3. ownership & initiative
1. We want self-starters who can have a sense of ownership and don't need external supervision
4. client/user-focused
1. Especially in the beginning, we need to gain the trust of our advertisers and publishers by exceeding their expectations.
2. This happens at every detailed level, at every touch point from initial contact, the content & material we deliver them, to ultimately the ROI of product that we deliver to them
Job Descriptions
General Preferences
- Strong & demonstrated interest in early stage startup
- Demonstrated passion in AI, ads, or related fields
- Strong sense of ownership and initiative, able to navigate highly uncertain environments on their own
- Problem solver mindset, able to iterate fast, be scrappy and innovatively find solutions
- (optional) experience/interest in ads systems or recommendation system
- (optional) experience/interest with ML, NLP, or generative AI (LLM) stack
Role descriptions
1. Ads infra engineer
- Responsibility
- Build and scale our AI-native ads system
- Requirements
- Extensive experience with programmatic ad systems
- Familiar with the different players in the ads ecosystem and the business landscape
- Solid understanding of the business logic of programmatic ad systems, including intent recognition, targeting, ad matching, pricing, etc.
- practical experience working in the cloud (GCP, AWS, etc)
- Preferably have experience optimizing low-latency, high-throughput backend optimization
- Our stack is based on Python and Go, experience with other programming languages is a plus
- Ideal candidate
- Have at least 2 years of experience in programmatic ads systems
- Either very young, hungry or very experienced
- Have a holistic view on the programmatic ads ecosystem (not specific to a particular function in big tech), know of technologies like OpenRTB or the practical applications
- Strong interest in GenAI
- Have experience in high-growth team/project at established companies or experience at startup
2. Business Development Manager
U.S. BD Hiring JD
Role Overview:
We're seeking a driven and results-focused Business Development Associate to join us in this exciting journey. As an early member of our commercial team, you'll play a crucial role in shaping the future of AI-native advertising. You'll work directly with innovative advertisers who are eager to leverage our groundbreaking platform, helping them achieve unprecedented engagement and ROI through personalized, context-aware ad experiences.
Responsibilities:
- Build and nurture relationships with all types of advertisers to drive growth for the advertising platform
- Analyze campaign performance metrics and optimize advertising strategies
- Help advertisers understand and maximize the unique benefits of AI-native advertising, build the brand and technology awareness
- Work closely with our technical team to gather advertiser feedback and improve our platform
- Identify and pursue new business opportunities in the emerging AI advertising space
Basic Qualifications:
- At least 3 years of relevant professional experience in the programmatic ads space, have connection with advertisers
- Self-starter mentality with high ownership and a passion to learn new things
- Experience with data analysis and performance optimization
- Strong interest in startup and emerging technology
Preferred Qualifications:
- Experience in digital advertising, particularly in emerging ad formats
- Understanding of the AI/ML landscape and generative AI applications
- Background in performance marketing or ad tech
- Startup experience
Ideal candidate
- Extensive experience in the programmatic ads space, with connection with all types of advertisers (including but not limited to DSP/brand advertiser/direct performance advertisers/agencies, etc)
- Experience building BD pipeline for innovative products from zero to one, comfortable navigating vague business context with little guidance
- Experience and passion for startup
- Strong interest in GenAI technologies
3. ML engineer
- Responsibility
- Understand business objective, able to independently define metrics, get data, train model, and deliver results
- Build the ads system as well as the LLM-native part
- Based on the data, optimize the system against the metrics, try out different ML algorithms
- Productionize & scale the ML pipeline in a backend system, improve latency
- Requirement
- You either have extensive LLM / Generative image / video experience, or extensive ad system / recommendation system. Ideally both.
- Experience in deep learning architectures and frameworks (e.g., PyTorch, TensorFlow).
- Strong programming skills in Python and proficiency in relevant ML libraries.
- Experience in of distributed computing, cloud platforms, and big data technologie is a plus
- Experience with LLM/NLP is a must, experience with other generative modalities (image, video, audio, etc) is a big plus
4. Research scientist - Generative video
- Responsibility
- Requirement
Target companies (for recruiters)
- target companies in China
- Big tech with ads/recommendation systems: Bytedance/Tiktok, Baidu, Tencent, Alibaba
- Smaller ad tech companies: 易点天下、飞书深诺、蓝色光标。
- Other companies with AI & ML or ads/recommendation system specialty
- target companies in the US
- Big tech with ads/recommendation systems: Bytedance/Tiktok, Google, Meta, Snapchat, Reddit, etc
- Lower priority but could also be relevant: Uber, Lyft, etc
- ads companies & DSPs: AppLovin, The Trade Desk, Kevel, Taboola, Criteo
- Other companies with AI & ML or ads/recommendation system specialty
Note for ad infra engineer: we want people who are more holistic on the ads system. If they're junior at big tech who has only worked at specific functions, and are not truly passionate about ads system and don't actively learn about it, they are less likely a good fit.
We want people who are passionate about startup and are high-achievers.
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