.png)
About Us
We, at AUI, are excited to introduce you to Apollo. Apollo is a breakthrough language model, built with a neuro-symbolic architecture to make conversational agents possible. Apollo enables the native tool use and controllability transformer-based agents lack. Apollo unlocks fine-tuning for agents, allowing continuous evolution from human feedback and ever-improving performance for conversational agents of any kind.
We're seeking an experienced Product Manager to drive the development of innovative products and features based on our Apollo technology.
The Role: Product Manager
We're looking for a passionate and ambitious Product Manager to help shape the future of AI. You'll play a crucial role in translating Apollo's advanced capabilities into market-ready products and features.
What You'll Do:
- Lead product strategy and innovation, bridging the gap between Apollo's technical capabilities and market needs
- Define product roadmaps and prioritize features that leverage Apollo's unique neuro-symbolic architecture
- Collaborate with research, engineering, and business teams to bring AI-powered products to market
- Gather and analyze user feedback to continuously improve our products
- Stay abreast of AI industry trends and competitive landscape
- Become an expert in Apollo's capabilities, including fine-tuning for agents and tool use
Who We're Looking For:
- Someone passionate about AI's future and its practical applications
- A strategic thinker who can envision how cutting-edge AI can solve real-world problems
- A person skilled at translating complex technical capabilities into user-friendly products
Requirements:
- 5+ years of product management experience, preferably in AI or related technologies
- Strong technical background with the ability to understand and communicate complex AI concepts
- Experience in bringing innovative products from concept to market
- Excellent analytical skills for data-driven decision-making
- Strong communication skills to work effectively with technical and non-technical stakeholders
- Ability to thrive in a fast-paced startup environment
If you're excited about shaping the future of conversational AI and want to be at the forefront of bringing this technology to market, we want to hear from you!
New York Candidates: The expected salary range for this position is expected to be between $100k – $160k for New York State residents and is experience dependent.
Apply with your resume at [email protected]
What We Do
Developed over the past seven years in collaboration with 60,000 human agents, Apollo is a breakthrough language model for objective-oriented conversational agents. Apollo replaces the transformer architecture of traditional LLMs with a neuro-symbolic architecture that couples the conversational skills of generative AI with the predictability and actionability of rule-based AI, making it better suited for agents.
Companies of any kind can fine-tune the Apollo base model on a specific task and deploy conversational agents that work on their behalf. These fine-tuned agents can continuously improve from human feedback, which is integrated into their updated versions. They further feature fine-grained control, the capacity to adhere to the deploying company’s policies and a white-box view of their operations. With native tool use, defined scope and guardrails and superior steerability, Apollo Agents outclass LLM Agents across all conversational use-cases.
Apollo does not train on company data, instead, it can be pre-integrated with any number of internal systems, and seamlessly call the relevant API endpoint whenever necessary. Like transformer-based LLMs, Apollo has a “system prompt”, broken down to structured, conditional policies.
Workflows and tools are native to Apollo and do not rely on function calling or chaining. This enables 100% success rate in executing complex API calls and the ability to return grounded answers in each interaction from any number of endpoints or sources.
Unlike transformer-based LLMs, Apollo is fine-tuned at the interaction level. In the Simulator, companies can generate automated conversations simulating the agent in production in front of users. They then proceed to fine-tuning the agent by correcting its output in each unsatisfactory interaction. This process can be repeated continuously to improve the performance and alignment of the agent.
Unlocked with Apollo are some exciting new agentic use-cases, including the ability for companies to responsibly communicate with their customers using conversational AI, and to sell their products and services without the need for human involvement, the example featured in the Live Demo Agent.
