Known Visa Sponsorship USA
Known is a media and entertainment company with experience sponsoring the E-3 visa for Australian professionals. While not among the highest-volume sponsors in its industry, it has demonstrated a willingness to work with international talent, making it worth targeting if your background aligns with its creative and strategic work.
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Get Access To All JobsKnown - Conversational AI Engineer, System Prompt and Orchestration
- Location: San Francisco, CA (In-Person)
- Compensation Range: $170k-$220k Cash + Equity
Known is a matchmaker that talks to users and supports them like a friend. Our mission is to empower humanity by applying general intelligence to human connection.
Users join Known by telling us their life story. On average, our new users talk to our AI voice agent for 27 minutes, giving us a uniquely intimate multi-modal data set.
We are a team of engineers who’ve created some of the most widely used AI-driven consumer products including Uber Eats, Uber, Faire, and Afterpay.
We love to work hard, with a high degree of autonomy and ownership. We work together in Cow Hollow, San Francisco.
About the Role
We’re looking for founding Conversational AI Engineers to build the prompt systems powering our voice-led onboarding and user experiences.
This is a unique opportunity to work with a hyper-personalized data-set, combining voice transcripts, images, and structured user data to empower real-time, personalized AI voice-led conversations at scale. You’ll work directly with Chen Peng, former head of ML at Uber Eats and Faire.
What You’ll Do
- Prompt Orchestration & Context Optimization: Architecting the core system prompts and managing context windows to ensure highly responsive, contextually relevant, and logically sound AI reasoning without bloating token counts or causing latency spikes.
- EQ & Semantic Memory: Building prompt systems that allow Known to maintain a consistent, empathetic, and uniquely "Known" personality. You'll design mechanisms to seamlessly weave long-term user memories and preferences into real-time dialogue, while helping the user drive the conversation.
- Conversational Intelligence: Designing advanced prompt chains (and fallback logic) to gracefully handle conversational tangents, user interruptions, semantic end-of-turn conversation logic, and complex emotional states so Known feels empathetic and responsive.
- Agentic Workflow Design: Implementing and maintaining the prompt-driven logic for multi-agent frameworks, where your system instructions act as the routing engine between the user, external APIs, and our internal matchmaking engine.
- Evals for Conversational Quality: Developing custom evaluation frameworks to measure "conversational success." You'll go beyond basic fact-checking to rigorously assess conversational dynamism, warmth, engagement, and hallucination reduction.
Requirements
We’re looking for someone who can make automated systems feel undeniably natural:
- 2-3 Years in Conversational AI/NLP: Proven experience designing, testing, and deploying complex LLM applications and system prompts in high-traffic production environments.
- The Prompt Stack: Deep familiarity with state-of-the-art prompt engineering techniques (e.g., Few-Shot, Chain-of-Thought, ReAct).
- Agentic & RAG Architectures: Experience building the "brain" logic for LLMs using frameworks like LangGraph, LlamaIndex, or Haystack to manage complex, non-linear dialogue and dynamic knowledge retrieval.
- Production Hardened: You treat prompts as an engineering problem. You’ve optimized prompt systems for scale, API cost, and speed. You're comfortable with prompt version control, programmatic prompt optimization (e.g., DSPy), and building continuous integration pipelines for AI evals.
Our Investors
We’re backed by Eurie Kim and Kirsten Green at Forerunner Ventures (the investors behind Decagon, Faire, and Oura), NFX, and PearVC.
Known - Conversational AI Engineer, System Prompt and Orchestration
- Location: San Francisco, CA (In-Person)
- Compensation Range: $170k-$220k Cash + Equity
Known is a matchmaker that talks to users and supports them like a friend. Our mission is to empower humanity by applying general intelligence to human connection.
Users join Known by telling us their life story. On average, our new users talk to our AI voice agent for 27 minutes, giving us a uniquely intimate multi-modal data set.
We are a team of engineers who’ve created some of the most widely used AI-driven consumer products including Uber Eats, Uber, Faire, and Afterpay.
We love to work hard, with a high degree of autonomy and ownership. We work together in Cow Hollow, San Francisco.
About the Role
We’re looking for founding Conversational AI Engineers to build the prompt systems powering our voice-led onboarding and user experiences.
This is a unique opportunity to work with a hyper-personalized data-set, combining voice transcripts, images, and structured user data to empower real-time, personalized AI voice-led conversations at scale. You’ll work directly with Chen Peng, former head of ML at Uber Eats and Faire.
What You’ll Do
- Prompt Orchestration & Context Optimization: Architecting the core system prompts and managing context windows to ensure highly responsive, contextually relevant, and logically sound AI reasoning without bloating token counts or causing latency spikes.
- EQ & Semantic Memory: Building prompt systems that allow Known to maintain a consistent, empathetic, and uniquely "Known" personality. You'll design mechanisms to seamlessly weave long-term user memories and preferences into real-time dialogue, while helping the user drive the conversation.
- Conversational Intelligence: Designing advanced prompt chains (and fallback logic) to gracefully handle conversational tangents, user interruptions, semantic end-of-turn conversation logic, and complex emotional states so Known feels empathetic and responsive.
- Agentic Workflow Design: Implementing and maintaining the prompt-driven logic for multi-agent frameworks, where your system instructions act as the routing engine between the user, external APIs, and our internal matchmaking engine.
- Evals for Conversational Quality: Developing custom evaluation frameworks to measure "conversational success." You'll go beyond basic fact-checking to rigorously assess conversational dynamism, warmth, engagement, and hallucination reduction.
Requirements
We’re looking for someone who can make automated systems feel undeniably natural:
- 2-3 Years in Conversational AI/NLP: Proven experience designing, testing, and deploying complex LLM applications and system prompts in high-traffic production environments.
- The Prompt Stack: Deep familiarity with state-of-the-art prompt engineering techniques (e.g., Few-Shot, Chain-of-Thought, ReAct).
- Agentic & RAG Architectures: Experience building the "brain" logic for LLMs using frameworks like LangGraph, LlamaIndex, or Haystack to manage complex, non-linear dialogue and dynamic knowledge retrieval.
- Production Hardened: You treat prompts as an engineering problem. You’ve optimized prompt systems for scale, API cost, and speed. You're comfortable with prompt version control, programmatic prompt optimization (e.g., DSPy), and building continuous integration pipelines for AI evals.
Our Investors
We’re backed by Eurie Kim and Kirsten Green at Forerunner Ventures (the investors behind Decagon, Faire, and Oura), NFX, and PearVC.
Job Roles at Known Companies
How to Get Visa Sponsorship in Known Visa Sponsorship USA
Target roles that sit at the intersection of strategy and creativity
Known operates across media and entertainment, where sponsored roles tend to blend analytical and creative skill sets. Focus your application on positions where your background bridges both, that's where international candidates tend to stand out.
Position yourself as an E-3 candidate from the start
Known has sponsored the E-3 visa, which is exclusive to Australian citizens. Mention your eligibility early in your cover letter and outreach, it signals low administrative burden and can make the difference when hiring managers are on the fence about sponsorship.
Research Known's client roster before applying
Media and entertainment agencies like Known work with major brand clients. Showing familiarity with the kinds of campaigns and clients they handle demonstrates genuine interest, and gives you a concrete hook in interviews beyond 'I want to work in the U.S.'
Look for roles in data, strategy, and audience insights
Sponsorship in media companies often flows toward specialists with quantifiable expertise. Roles in analytics, audience strategy, and media planning tend to carry clearer degree-to-job alignment, which strengthens the E-3 specialty occupation case for your application.
Use a platform that filters by actual sponsorship history
Not every media company that claims to be 'open to sponsorship' has a track record to back it up. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history, saving time on companies unlikely to follow through.
Engage with Known's work before reaching out
Smaller-volume sponsors in media and entertainment respond well to candidates who clearly understand their work. Reference specific campaigns or thought leadership in your outreach, it demonstrates cultural fit and reduces the perceived risk of sponsoring an international hire.
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Get Access To All JobsFrequently Asked Questions
Does Known sponsor H-1B visas?
Based on available sponsorship data, Known has not filed H-1B petitions in recent periods. Its sponsorship activity has focused on the E-3 visa, which is available exclusively to Australian citizens. If you're not Australian, Known may not be a strong fit for visa sponsorship at this time, but it's worth monitoring as hiring needs evolve.
What visa types does Known sponsor?
Known's sponsorship history is centered on the E-3 visa, a nonimmigrant work visa available only to Australian nationals. It requires employer support, a certified Labor Condition Application, and a qualifying specialty occupation role. Australian candidates in media, strategy, or analytics are best positioned to pursue E-3 sponsorship at Known.
Which roles or departments at Known are most likely to receive visa sponsorship?
Media and entertainment companies tend to sponsor roles that require specialized, degree-aligned expertise, think audience strategy, media analytics, brand planning, and digital marketing. At Known, candidates in data-driven or strategically focused roles are more likely to meet the specialty occupation threshold required for E-3 sponsorship than generalist or junior creative positions.
How do I find open roles at Known that include visa sponsorship?
Migrate Mate is the most efficient way to find roles at verified sponsors like Known. It filters job listings by actual sponsorship history rather than self-reported willingness, so you're only seeing companies with a documented track record. Search by visa type to narrow results to E-3 eligible positions specifically relevant to your background.
How do I approach the application process at Known as a visa-sponsored candidate?
Lead your application with clarity about your E-3 eligibility, most hiring managers at media companies are unfamiliar with the visa but are receptive once they understand it doesn't require lottery participation. Align your experience to Known's blend of creative and strategic work, and be prepared to walk through the sponsorship process simply and confidently if asked in interviews.
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