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Lead Technical Recruiter - USA
Inworld AI ·
Pay
$160k–260k
Setting
Hybrid
Lead Technical Recruiter - USA
Location
Mountain View, California, USA
Employment Type
Full time
Location Type
Hybrid
Department
Operations
Overview
Application
About Inworld
Inworld is a research lab of top researchers and engineers, building the world’s top-ranked realtime voice models.
Today our models are the #1 ranked realtime voice models in the world. They are used to power the largest consumer-facing AI applications available, across categories like health, fitness, learning, therapy, companions, customer experience and media; representing 100s of millions of end users. Our work spans areas like research and development of state-of-the-art models, optimizing realtime inference, and creating best-in-class APIs and products that allow developers to engage their users.
We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn’s Top 10 Startups in the USA.
We are looking for a Recruiting Lead to fuel our growth with extraordinary talent. This is a senior, high-ownership role: you'll act as a true talent partner to our founders and leadership across engineering, research, and business hiring as we scale. You'll own searches end to end, raise the bar on how we hire, and help shape the recruiting function itself.
What you'll be doing
Own our most critical and senior searches end to end, operating as an executive search partner to our founders, from talent strategy and market mapping through offer and close
Act as a strategic advisor to hiring managers and leadership: shape role definitions, calibrate expectations, and design search strategies and execute them
Build deep pipelines of exceptional AI, engineering, research, and business talent through creative sourcing and long-term relationship building with passive candidates
Use data to drive decisions, track funnel health, diagnose bottlenecks, and report on hiring progress with rigor
Apply AI to recruiting: use assistants like Claude and AI-native sourcing and automation tools to automate workflows and build tooling that makes the whole team faster, while keeping candidate touchpoint personal and high-touch
Elevate our recruiting practice: improve processes, sharpen interviewer quality, ensure an exceptional candidate experience, and mentor others on the team
Represent Inworld in the market as a compelling, credible ambassador for our mission and culture
What you'll bring
8+ years of full-cycle technical recruiting experience, including several years supporting senior and hard-to-fill technical roles
Deep understanding of technical roles, experience hiring in AI/ML, infrastructure, or research environments strongly preferred
Versatility to run GTM, marketing, or business searches alongside your core technical focus
A track record of closing exceptional senior talent in highly competitive markets
Fluency with recruiting data, you use metrics to drive strategy, influence stakeholders, and hold searches accountable
A builder's mindset, you love creating tools, automation, and processes, you prototype fast and improve as you go
Hands-on fluency with AI assistants, you already use them daily, and you're always finding new ways to work smarter while maintaining a human-centered approach
Proficiency with a modern AI-native recruiting stack
Experience partnering directly with executives and hiring managers as a trusted advisor
Experience in retained executive search, or as a strategic search partner to founders and executives, is a strong plus
You're a fit for our team if
You operate with high ownership, you don't wait for direction, you set it
You thrive in a fast-moving startup environment and stay effective amid ambiguity and shifting priorities
You love optimizing workflows and constantly look for ways to improve how the team works
You hold a high bar, for candidates, for process quality, and for yourself
You're organized, prioritize ruthlessly, and communicate clearly with stakeholders at every level
The base salary range for this full-time position is $160,000 - $260,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future.
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Listed by Inworld AI for a position based in the United States. Employers on this board attest they are hiring domestically.
Lead Technical Recruiter - USA
Inworld AI ·
Pay
$160k–260k
Setting
Hybrid
About Inworld
Inworld is a research lab of top researchers and engineers, building the world’s top-ranked realtime voice models.
Today our models are the #1 ranked realtime voice models in the world. They are used to power the largest consumer-facing AI applications available, across categories like health, fitness, learning, therapy, companions, customer experience and media; representing 100s of millions of end users. Our work spans areas like research and development of state-of-the-art models, optimizing realtime inference, and creating best-in-class APIs and products that allow developers to engage their users.
We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn’s Top 10 Startups in the USA.
We are looking for a Recruiting Lead to fuel our growth with extraordinary talent. This is a senior, high-ownership role: you'll act as a true talent partner to our founders and leadership across engineering, research, and business hiring as we scale. You'll own searches end to end, raise the bar on how we hire, and help shape the recruiting function itself.
What you'll be doing
- Own our most critical and senior searches end to end, operating as an executive search partner to our founders, from talent strategy and market mapping through offer and close
- Act as a strategic advisor to hiring managers and leadership: shape role definitions, calibrate expectations, and design search strategies and execute them
- Build deep pipelines of exceptional AI, engineering, research, and business talent through creative sourcing and long-term relationship building with passive candidates
- Use data to drive decisions, track funnel health, diagnose bottlenecks, and report on hiring progress with rigor
- Apply AI to recruiting: use assistants like Claude and AI-native sourcing and automation tools to automate workflows and build tooling that makes the whole team faster, while keeping candidate touchpoint personal and high-touch
- Elevate our recruiting practice: improve processes, sharpen interviewer quality, ensure an exceptional candidate experience, and mentor others on the team
- Represent Inworld in the market as a compelling, credible ambassador for our mission and culture
What you'll bring
- 8+ years of full-cycle technical recruiting experience, including several years supporting senior and hard-to-fill technical roles
- Deep understanding of technical roles, experience hiring in AI/ML, infrastructure, or research environments strongly preferred
- Versatility to run GTM, marketing, or business searches alongside your core technical focus
- A track record of closing exceptional senior talent in highly competitive markets
- Fluency with recruiting data, you use metrics to drive strategy, influence stakeholders, and hold searches accountable
- A builder's mindset, you love creating tools, automation, and processes, you prototype fast and improve as you go
- Hands-on fluency with AI assistants, you already use them daily, and you're always finding new ways to work smarter while maintaining a human-centered approach
- Proficiency with a modern AI-native recruiting stack
- Experience partnering directly with executives and hiring managers as a trusted advisor
- Experience in retained executive search, or as a strategic search partner to founders and executives, is a strong plus
You're a fit for our team if
- You operate with high ownership, you don't wait for direction, you set it
- You thrive in a fast-moving startup environment and stay effective amid ambiguity and shifting priorities
- You love optimizing workflows and constantly look for ways to improve how the team works
- You hold a high bar, for candidates, for process quality, and for yourself
- You're organized, prioritize ruthlessly, and communicate clearly with stakeholders at every level
The base salary range for this full-time position is $160,000 - $260,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future.
Inworld Jobs Privacy https://inworld.ai/jobs-privacy
Listed by Inworld AI for a position based in the United States. Employers on this board attest they are hiring domestically.
Founding Growth Lead - USA
Inworld AI ·
Pay
$190k–270k
Setting
On-site
About Inworld
Inworld is a research lab of top researchers and engineers, building the world’s top-ranked realtime voice models.
Today our models are the #1 ranked realtime voice models in the world. They are used to power the largest consumer-facing AI applications available, across categories like health, fitness, learning, therapy, companions, customer experience and media; representing 100s of millions of end users. Our work spans areas like research and development of state-of-the-art models, optimizing realtime inference, and creating best-in-class APIs and products that allow developers to engage their users.
We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn’s Top 10 Startups in the USA.
Your impact
We're looking for a Founding Growth Lead who is equally hands-on in driving the market expansion and accelerating adoption across the developer ecosystem. This is a critical, cross-functional role that will own the entire growth funnel, from developer awareness and acquisition to engagement and retention. You will be the architect of a technical growth engine, integrating product, engineering, and marketing to drive sustained developer adoption, accelerate activation and retention, and translate product adoption into revenue growth.
What you’ll do
Define and build the growth function from the ground up, establishing the technical infrastructure, frameworks, and repeatable processes that will scale
Develop and execute strategies to create, engage, and grow our audience across marketing channels (Google, Linkedin, Meta, Reddit, X, etc.) and all possible developer touchpoints
Partner with product and engineering leadership to influence roadmap prioritization, pricing, and packaging strategy using growth data, funnel analysis, and user insights to inform monetization decisions and conversion optimization
Build a thriving developer ecosystem, fostering community engagement and advocacy
Coordinate high-impact product launches that generate significant visibility, leveraging newsletters, podcasts, press, publications and other outlets
Create viral campaigns leveraging product capabilities to reach and convert developers
Drive SEO, content strategy, and performance marketing initiatives across every channel where developers discover, evaluate, and adopt new tools
Build and maintain marketing infrastructure, tracking, dashboards, attribution tooling
Own technical content, from blog posts and landing pages to demo script and onboarding flows
What you’ll bring
Former founder or seasoned growth leader with experience scaling early-stage, high-growth companies
Strong product or engineering background with technical fluency, able to design and implement technically driven growth systems
Deep analytical skills: comfortable with growth modeling, cohort analysis, A/B experimentation, funnel diagnostics, and data-driven decision-making
Track record of running product launches and campaigns that directly accelerated adoption and revenue
Hands on experience managing performance marketing budgets, paid channel strategy, and attribution across the full funnel
Thrive in ambiguity and see constant change as opportunity, not obstacle
Naturally spend nights and weekends hands-on with the latest technical innovations
Bring ideas and solutions, not org charts and territory-building
Consider marketing as a product surface that can be engineered and automated
Prior exposure to a product-led growth strategy and usage-based business model
BA/BS degree or higher, with technical degrees a plus
Candidates must be based in the SF Bay Area or willing to relocate (you will be working on-site in our South Bay office a few days a week).
The US base salary range for this full-time position is $190,000 - $270,000 + bonus + equity + benefits.
Listed by Inworld AI for a position based in the United States. Employers on this board attest they are hiring domestically.
Founding Growth Lead - USA
Inworld AI ·
Pay
$190k–270k
Setting
On-site
About Inworld
Inworld is a research lab of top researchers and engineers, building the world’s top-ranked realtime voice models.
Today our models are the #1 ranked realtime voice models in the world. They are used to power the largest consumer-facing AI applications available, across categories like health, fitness, learning, therapy, companions, customer experience and media; representing 100s of millions of end users. Our work spans areas like research and development of state-of-the-art models, optimizing realtime inference, and creating best-in-class APIs and products that allow developers to engage their users.
We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn’s Top 10 Startups in the USA.
YOUR IMPACT
We're looking for a Founding Growth Lead who is equally hands-on in driving the market expansion and accelerating adoption across the developer ecosystem. This is a critical, cross-functional role that will own the entire growth funnel, from developer awareness and acquisition to engagement and retention. You will be the architect of a technical growth engine, integrating product, engineering, and marketing to drive sustained developer adoption, accelerate activation and retention, and translate product adoption into revenue growth.
WHAT YOU’LL DO
- Define and build the growth function from the ground up, establishing the technical infrastructure, frameworks, and repeatable processes that will scale
- Develop and execute strategies to create, engage, and grow our audience across marketing channels (Google, Linkedin, Meta, Reddit, X, etc.) and all possible developer touchpoints
- Partner with product and engineering leadership to influence roadmap prioritization, pricing, and packaging strategy using growth data, funnel analysis, and user insights to inform monetization decisions and conversion optimization
- Build a thriving developer ecosystem, fostering community engagement and advocacy
- Coordinate high-impact product launches that generate significant visibility, leveraging newsletters, podcasts, press, publications and other outlets
- Create viral campaigns leveraging product capabilities to reach and convert developers
- Drive SEO, content strategy, and performance marketing initiatives across every channel where developers discover, evaluate, and adopt new tools
- Build and maintain marketing infrastructure, tracking, dashboards, attribution tooling
- Own technical content, from blog posts and landing pages to demo script and onboarding flows
WHAT YOU’LL BRING
- Former founder or seasoned growth leader with experience scaling early-stage, high-growth companies
- Strong product or engineering background with technical fluency, able to design and implement technically driven growth systems
- Deep analytical skills: comfortable with growth modeling, cohort analysis, A/B experimentation, funnel diagnostics, and data-driven decision-making
- Track record of running product launches and campaigns that directly accelerated adoption and revenue
- Hands on experience managing performance marketing budgets, paid channel strategy, and attribution across the full funnel
- Thrive in ambiguity and see constant change as opportunity, not obstacle
- Naturally spend nights and weekends hands-on with the latest technical innovations
- Bring ideas and solutions, not org charts and territory-building
- Consider marketing as a product surface that can be engineered and automated
- Prior exposure to a product-led growth strategy and usage-based business model
- BA/BS degree or higher, with technical degrees a plus
Candidates must be based in the SF Bay Area or willing to relocate (you will be working on-site in our South Bay office a few days a week).
The US base salary range for this full-time position is $190,000 - $270,000 + bonus + equity + benefits.
Inworld Jobs Privacy https://inworld.ai/jobs-privacy
Listed by Inworld AI for a position based in the United States. Employers on this board attest they are hiring domestically.
Product Lead - USA
Inworld AI ·
Pay
$230k–400k
Setting
On-site
Product Lead - USA
Location
Mountain View, California, USA
Employment Type
Full time
Department
Product
Overview
Application
About Inworld
Inworld is a research lab of top researchers and engineers, building the world’s top-ranked realtime voice models.
Today our models are the #1 ranked realtime voice models in the world. They are used to power the largest consumer-facing AI applications available, across categories like health, fitness, learning, therapy, companions, customer experience and media; representing 100s of millions of end users. Our work spans areas like research and development of state-of-the-art models, optimizing realtime inference, and creating best-in-class APIs and products that allow developers to engage their users.
We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn’s Top 10 Startups in the USA.
Your Impact
You will lead the development of Inworld’s realtime models and products to empower developers to effortlessly build the next generation of consumer-facing AI applications. This role is both strategic and hands on. You will set direction, make hard prioritization decisions, and personally ensure we ship products developers love and trust. You will collaborate with AI researchers and engineers to turn cutting-edge AI capabilities into reliable and scalable developer experiences. Your work will directly shape how the world builds and deploys real-time AI.
In this role, you will:
Drive product vision and strategy for Inworld’s products to enable the future of consumer scale AI applications
Get hands on with code, both manually and with AI to not only develop prototypes but ship new production features and products in collaboration with engineering
Translate complex AI capabilities and technical constraints into clear, developer friendly product experiences
Work closely with C-level executives and industry leaders to align our product vision with business goals
Partner with AI researchers and engineers to bridge technical innovation with real-world developer needs
Synthesize partner and ecosystem feedback into clear product requirements and a prioritized roadmap, leading pre- and post-launch execution
You might be a good fit if you have:
BA/BS degree or higher in Computer Science, Engineering, or a similar technical field
6+ years of product management experience and an exceptional track record of building 0→1 developer products in high growth environments
Excitement about building the default infrastructure for real-time AI at consumer scale. This includes the multimodal models, pipelines, and tools needed to power the next generation of AI applications
Comfort owning outcomes rather than just roadmaps, with strong product judgment in ambiguous problem spaces
Founder level mindset with the ability to spot gaps, propose solutions, and move work forward without waiting for direction
Hands-on builder. You use AI coding tools to navigate the codebase, mock up features, run experiments, and pull your own data
A passion for learning and staying up-to-date with the latest advancements in AI and its applications
In-office location: Mountain View, California, United States. Candidates must be based in the SF Bay Area or willing to relocate (you will be working on-site in our South Bay office a few days a week).
The US base salary range for this full-time position is $230,000 - $400,000 + bonus + equity + benefits.
Inworld Jobs Privacy
Apply for this Job
Powered by
Privacy PolicySecurityVulnerability Disclosure
Listed by Inworld AI for a position based in the United States. Employers on this board attest they are hiring domestically.
Product Lead - USA
Inworld AI ·
Pay
$230k–400k
Setting
On-site
About Inworld
Inworld is a research lab of top researchers and engineers, building the world’s top-ranked realtime voice models.
Today our models are the #1 ranked realtime voice models in the world. They are used to power the largest consumer-facing AI applications available, across categories like health, fitness, learning, therapy, companions, customer experience and media; representing 100s of millions of end users. Our work spans areas like research and development of state-of-the-art models, optimizing realtime inference, and creating best-in-class APIs and products that allow developers to engage their users.
We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn’s Top 10 Startups in the USA.
Your Impact
You will lead the development of Inworld’s realtime models and products to empower developers to effortlessly build the next generation of consumer-facing AI applications. This role is both strategic and hands on. You will set direction, make hard prioritization decisions, and personally ensure we ship products developers love and trust. You will collaborate with AI researchers and engineers to turn cutting-edge AI capabilities into reliable and scalable developer experiences. Your work will directly shape how the world builds and deploys real-time AI.
In this role, you will:
- Drive product vision and strategy for Inworld’s products to enable the future of consumer scale AI applications
- Get hands on with code, both manually and with AI to not only develop prototypes but ship new production features and products in collaboration with engineering
- Translate complex AI capabilities and technical constraints into clear, developer friendly product experiences
- Work closely with C-level executives and industry leaders to align our product vision with business goals
- Partner with AI researchers and engineers to bridge technical innovation with real-world developer needs
- Synthesize partner and ecosystem feedback into clear product requirements and a prioritized roadmap, leading pre- and post-launch execution
You might be a good fit if you have:
- BA/BS degree or higher in Computer Science, Engineering, or a similar technical field
- 6+ years of product management experience and an exceptional track record of building 0→1 developer products in high growth environments
- Excitement about building the default infrastructure for real-time AI at consumer scale. This includes the multimodal models, pipelines, and tools needed to power the next generation of AI applications
- Comfort owning outcomes rather than just roadmaps, with strong product judgment in ambiguous problem spaces
- Founder level mindset with the ability to spot gaps, propose solutions, and move work forward without waiting for direction
- Hands-on builder. You use AI coding tools to navigate the codebase, mock up features, run experiments, and pull your own data
- A passion for learning and staying up-to-date with the latest advancements in AI and its applications
In-office location: Mountain View, California, United States. Candidates must be based in the SF Bay Area or willing to relocate (you will be working on-site in our South Bay office a few days a week).
The US base salary range for this full-time position is $230,000 - $400,000 + bonus + equity + benefits.
Inworld Jobs Privacy https://inworld.ai/jobs-privacy
Listed by Inworld AI for a position based in the United States. Employers on this board attest they are hiring domestically.
Founding AI Solutions Engineer- USA
Inworld AI ·
Pay
$170k–250k
Setting
On-site
Founding AI Solutions Engineer- USA
Location
Mountain View, California, USA
Employment Type
Full time
Department
GTM
Overview
Application
About Inworld
Inworld is a research lab of top researchers and engineers, building the world’s top-ranked realtime voice models.
Today our models are the #1 ranked realtime voice models in the world. They are used to power the largest consumer-facing AI applications available, across categories like health, fitness, learning, therapy, companions, customer experience and media; representing 100s of millions of end users. Our work spans areas like research and development of state-of-the-art models, optimizing realtime inference, and creating best-in-class APIs and products that allow developers to engage their users.
We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn’s Top 10 Startups in the USA.
Your Impact
We're looking for a Founding AI Solutions Engineer who will sit at the intersection of sales, product, and engineering — and become the technical backbone of our revenue team. You'll work directly with the senior leadership and our GTM team to help enterprise and developer customers go from "this sounds interesting" to "this is in production."
You'll run POCs, build prototypes, and translate complex technical questions into clear answers for both engineers and executives. You'll own the technical side of deals pre- and post-signature — ensuring customers are genuinely successful, not just signed. Your work will directly shape how Inworld scales across gaming, CCaaS, media, consumer AI and beyond, and your fingerprints will be on the SE function as we build it.
What You'll Do
Partner with GTM Leads on deals — lead technical discovery, run POCs, and own the solution design from first call through close
Build working prototypes and reference integrations that demonstrate Inworld's TTS, STT, LLM Router, LLM inference, and Realtime API solutions in the customer's actual context — not just a demo environment
Serve as the primary technical advisor during onboarding, getting customers from signed contract to production-quality integration
Translate customer requirements into actionable feedback for Product and Engineering
Answer deep technical questions live — latency tradeoffs, on-prem vs. cloud deployment, streaming architecture, model selection — without needing backup
Build and maintain a library of integration examples, demo environments, and technical collateral that the whole GTM team can use
Identify expansion opportunities by understanding what customers are building and where Inworld can do more
Contribute to shaping our technical sales process as an early hire — you'll define what great looks like here
Work closely with GTM leadership to redefine modern GTM and sales process
What You'll Bring
5+ years of experience in a customer-facing technical role (Solutions Engineer, Sales Engineer, Solutions Architect, or Technical Account Manager)
Strong hands-on coding ability — you can write production-quality integration code, not just scripts. Python strongly preferred; JavaScript/TypeScript a plus
Deep familiarity with AI/ML APIs — you understand how to work with LLMs, speech models, and streaming APIs, and can explain tradeoffs to both engineers and executives
Demonstrated ability to run technical POCs end-to-end and drive them to a decision
Effective communicator who can bridge technical and business conversations with ease
High level of empathy and integrity in customer interactions
Thrives in ambiguity and sees constant change as opportunity, not obstacle
Bachelor's degree or higher in a technical domain
Bonus Qualifications
Experience with voice AI, TTS, STT, or real-time audio and speech systems
Background in gaming, CCaaS, or media and entertainment — our top customer verticals
Familiarity with on-premise and edge deployment patterns (containerization, model serving, quantization)
Experience with WebSocket/WebRTC or real-time streaming infrastructure
Prior experience at a high-growth startup or as a founder/operator
Experience with modern GTM tooling (Clay, n8n, Zapier, etc.)
Candidates must be based in the SF Bay Area or willing to relocate (you will be working on-site in our South Bay office a few days a week).
The base salary range for this full-time position is $170,000 - $250,000+ bonus + equity + benefits.
Inworld Jobs Privacy
Apply for this Job
Powered by
Privacy PolicySecurityVulnerability Disclosure
Listed by Inworld AI for a position based in the United States. Employers on this board attest they are hiring domestically.
Founding AI Solutions Engineer- USA
Inworld AI ·
Pay
$170k–250k
Setting
On-site
About Inworld
Inworld is a research lab of top researchers and engineers, building the world’s top-ranked realtime voice models.
Today our models are the #1 ranked realtime voice models in the world. They are used to power the largest consumer-facing AI applications available, across categories like health, fitness, learning, therapy, companions, customer experience and media; representing 100s of millions of end users. Our work spans areas like research and development of state-of-the-art models, optimizing realtime inference, and creating best-in-class APIs and products that allow developers to engage their users.
We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn’s Top 10 Startups in the USA.
Your Impact
We're looking for a Founding AI Solutions Engineer who will sit at the intersection of sales, product, and engineering — and become the technical backbone of our revenue team. You'll work directly with the senior leadership and our GTM team to help enterprise and developer customers go from "this sounds interesting" to "this is in production."
You'll run POCs, build prototypes, and translate complex technical questions into clear answers for both engineers and executives. You'll own the technical side of deals pre- and post-signature — ensuring customers are genuinely successful, not just signed. Your work will directly shape how Inworld scales across gaming, CCaaS, media, consumer AI and beyond, and your fingerprints will be on the SE function as we build it.
What You'll Do
- Partner with GTM Leads on deals — lead technical discovery, run POCs, and own the solution design from first call through close
- Build working prototypes and reference integrations that demonstrate Inworld's TTS, STT, LLM Router, LLM inference, and Realtime API solutions in the customer's actual context — not just a demo environment
- Serve as the primary technical advisor during onboarding, getting customers from signed contract to production-quality integration
- Translate customer requirements into actionable feedback for Product and Engineering
- Answer deep technical questions live — latency tradeoffs, on-prem vs. cloud deployment, streaming architecture, model selection — without needing backup
- Build and maintain a library of integration examples, demo environments, and technical collateral that the whole GTM team can use
- Identify expansion opportunities by understanding what customers are building and where Inworld can do more
- Contribute to shaping our technical sales process as an early hire — you'll define what great looks like here
- Work closely with GTM leadership to redefine modern GTM and sales process
What You'll Bring
- 5+ years of experience in a customer-facing technical role (Solutions Engineer, Sales Engineer, Solutions Architect, or Technical Account Manager)
- Strong hands-on coding ability — you can write production-quality integration code, not just scripts. Python strongly preferred; JavaScript/TypeScript a plus
- Deep familiarity with AI/ML APIs — you understand how to work with LLMs, speech models, and streaming APIs, and can explain tradeoffs to both engineers and executives
- Demonstrated ability to run technical POCs end-to-end and drive them to a decision
- Effective communicator who can bridge technical and business conversations with ease
- High level of empathy and integrity in customer interactions
- Thrives in ambiguity and sees constant change as opportunity, not obstacle
- Bachelor's degree or higher in a technical domain
Bonus Qualifications
- Experience with voice AI, TTS, STT, or real-time audio and speech systems
- Background in gaming, CCaaS, or media and entertainment — our top customer verticals
- Familiarity with on-premise and edge deployment patterns (containerization, model serving, quantization)
- Experience with WebSocket/WebRTC or real-time streaming infrastructure
- Prior experience at a high-growth startup or as a founder/operator
- Experience with modern GTM tooling (Clay, n8n, Zapier, etc.)
Candidates must be based in the SF Bay Area or willing to relocate (you will be working on-site in our South Bay office a few days a week).
The base salary range for this full-time position is $170,000 - $250,000+ bonus + equity + benefits.
Inworld Jobs Privacy https://inworld.ai/jobs-privacy
Listed by Inworld AI for a position based in the United States. Employers on this board attest they are hiring domestically.
Staff / Principal Machine Learning Engineer, Serving - USA
Inworld AI ·
Pay
$270k–500k
Setting
Hybrid
Staff / Principal Machine Learning Engineer, Serving - USA
Location
Mountain View, California, USA
Employment Type
Full time
Location Type
Hybrid
Department
ML Engineering
Overview
Application
About Inworld
Inworld is a research lab of top researchers and engineers, building the world’s top-ranked realtime voice models.
Today our models are the #1 ranked realtime voice models in the world. They are used to power the largest consumer-facing AI applications available, across categories like health, fitness, learning, therapy, companions, customer experience and media; representing 100s of millions of end users. Our work spans areas like research and development of state-of-the-art models, optimizing realtime inference, and creating best-in-class APIs and products that allow developers to engage their users.
We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn’s Top 10 Startups in the USA.
Who We're Looking For
A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood.
Experience We Find Useful
You don't need all of this. But you need enough to make a case.
Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM.
Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding.
High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs.
Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections.
Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups.
Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production.
Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems.
Who Thrives Here
You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go.
You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations.
You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem.
You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make.
What Working Here Is Like
We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater.
We believe in the power of in-person collaboration to solve the hardest problems and foster a strong team culture. We offer relocation assistance and look forward to you joining us in our Mountain View office.
The base salary range for this full-time position is $270,000 - $500,000+ bonus + equity + benefits.
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Listed by Inworld AI for a position based in the United States. Employers on this board attest they are hiring domestically.
Staff / Principal Machine Learning Engineer, Serving - USA
Inworld AI ·
Pay
$270k–500k
Setting
Hybrid
About Inworld
Inworld is a research lab of top researchers and engineers, building the world’s top-ranked realtime voice models.
Today our models are the #1 ranked realtime voice models in the world. They are used to power the largest consumer-facing AI applications available, across categories like health, fitness, learning, therapy, companions, customer experience and media; representing 100s of millions of end users. Our work spans areas like research and development of state-of-the-art models, optimizing realtime inference, and creating best-in-class APIs and products that allow developers to engage their users.
We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn’s Top 10 Startups in the USA.
Who We're Looking For
A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood.
Experience We Find Useful
You don't need all of this. But you need enough to make a case.
- Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM.
- Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding.
- High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs.
- Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections.
- Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups.
- Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production.
- Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems.
Who Thrives Here
- You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go.
- You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations.
- You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem.
- You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make.
What Working Here Is Like
We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater.
We believe in the power of in-person collaboration to solve the hardest problems and foster a strong team culture. We offer relocation assistance and look forward to you joining us in our Mountain View office.
The base salary range for this full-time position is $270,000 - $500,000+ bonus + equity + benefits.
Inworld Jobs Privacy https://inworld.ai/jobs-privacy
Listed by Inworld AI for a position based in the United States. Employers on this board attest they are hiring domestically.
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