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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
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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.
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.
GTM Lead - USA
Inworld AI ·
Pay
$150k–200k
Setting
On-site
GTM Lead - 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 pioneering North America GTM Lead who will work directly with the Director of Partnerships to grow our sales presence in North America. In this role, you will be managing some of our most important prospects and customers. You will be hands-on in translating complex customer needs into scalable solutions, shaping how new customers experience Inworld from their very first interaction.
You’ll be the architect of trust and technical credibility, working cross-functionally with product, engineering, and growth to help deals progress end-to-end, ensuring seamless adoption and long-term customer impact. Your work will lay the foundation for our GTM strategy, uncover new market opportunities, and directly influence how Inworld scales its solutions across industries.
What you’ll do
Manage a robust book of business and run the end-to-end sales process, ensuring customer technical requirements are met and deals progress.
Translate customer needs into actionable technical requirements for Product and Engineering.
Build credibility with external stakeholders through technical fluency and solution-oriented thinking.
Own pipeline generation opportunities through outbound engagement, trend analysis, mining our rapidly growing PLG funnel, and working with our GTM Engineer and BDR team.
Partner cross-functionally with Product, TPM, and Growth teams to ensure a seamless customer experience.
Manage POCs and use GTM tooling to accelerate deal cycles and increase win rates.
Contribute to shaping GTM strategy by identifying new verticals, use cases, and expansion opportunities.
What you’ll bring
5+ years of experience in customer facing roles (AE, SE, GTM Lead) with demonstrated technical aptitude.
Strong technical background (AI, cloud, infrastructure, or software-related environments preferred).
Demonstrated ability to manage external customer or partner relationships toward defined outcomes.
Track record of independent execution, problem solving, and meticulous follow-through.
Effective communicator with ability to bridge technical and business conversations.
High level of empathy and integrity in client interactions.
Thrive in ambiguity and see constant change as opportunity, not obstacle.
Prior exposure to a product-led growth strategy and usage-based business model.
Bachelors degree or higher, in a technical domain.
Bonus Qualifications
Experience at a high-growth startup, or as a founder/operator.
Experience with modern GTM systems (Clay, n8n, zapier etc.).
Familiarity with the AI ecosystem and emerging use cases.
Basic understanding of sales principles (MEDDPICC, BANT 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 between $150,000 - $200,000 + commission + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
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.
GTM Lead - USA
Inworld AI ·
Pay
$150k–200k
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 pioneering North America GTM Lead who will work directly with the Director of Partnerships to grow our sales presence in North America. In this role, you will be managing some of our most important prospects and customers. You will be hands-on in translating complex customer needs into scalable solutions, shaping how new customers experience Inworld from their very first interaction.
You’ll be the architect of trust and technical credibility, working cross-functionally with product, engineering, and growth to help deals progress end-to-end, ensuring seamless adoption and long-term customer impact. Your work will lay the foundation for our GTM strategy, uncover new market opportunities, and directly influence how Inworld scales its solutions across industries.
WHAT YOU’LL DO
- Manage a robust book of business and run the end-to-end sales process, ensuring customer technical requirements are met and deals progress.
- Translate customer needs into actionable technical requirements for Product and Engineering.
- Build credibility with external stakeholders through technical fluency and solution-oriented thinking.
- Own pipeline generation opportunities through outbound engagement, trend analysis, mining our rapidly growing PLG funnel, and working with our GTM Engineer and BDR team.
- Partner cross-functionally with Product, TPM, and Growth teams to ensure a seamless customer experience.
- Manage POCs and use GTM tooling to accelerate deal cycles and increase win rates.
- Contribute to shaping GTM strategy by identifying new verticals, use cases, and expansion opportunities.
WHAT YOU’LL BRING
- 5+ years of experience in customer facing roles (AE, SE, GTM Lead) with demonstrated technical aptitude.
- Strong technical background (AI, cloud, infrastructure, or software-related environments preferred).
- Demonstrated ability to manage external customer or partner relationships toward defined outcomes.
- Track record of independent execution, problem solving, and meticulous follow-through.
- Effective communicator with ability to bridge technical and business conversations.
- High level of empathy and integrity in client interactions.
- Thrive in ambiguity and see constant change as opportunity, not obstacle.
- Prior exposure to a product-led growth strategy and usage-based business model.
- Bachelors degree or higher, in a technical domain.
BONUS QUALIFICATIONS
- Experience at a high-growth startup, or as a founder/operator.
- Experience with modern GTM systems (Clay, n8n, zapier etc.).
- Familiarity with the AI ecosystem and emerging use cases.
- Basic understanding of sales principles (MEDDPICC, BANT 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 between $150,000 - $200,000 + commission + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
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 Research Scientist - USA
Inworld AI ·
Pay
$270k–500k
Setting
On-site
Staff / Principal Research Scientist - USA
Location
Mountain View, California, USA
Employment Type
Full time
Department
Science
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 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.
Foundation models: training, new architectures, RL, reward modeling, scaling
Evaluation: benchmarks, eval loops, quality measurement, LLM-as-judge, failure analysis
Frontier topics: multimodal models, agents, tool use, test-time compute, world models
Published research at ICML, ICLR, NeurIPS, EMNLP, ACL, or AAAI
PhD in ML/NLP — or equivalent practical experience you can point to
Public work: non-trivial AI side projects, interdisciplinary experiments, open-source contributions
Full-stack research ownership: you frame the question, run the experiments, write the paper, ship the result
If you learned through building, competitions, or collaborations outside academia, that counts. We care about evidence, not credentials.
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 research isn't finished until it’s shipped. You have a bias for impact over purely academic output
You don't just ship code; you obsess over the why. You’re the first to question an approach if you think there’s a better way to solve the core 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 researchers who say "I don't know yet" and then design the experiment that finds out. We treat evaluation as a first-class research product, not a box to check before launch. Impact comes before publications though we support sharing work that moves 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 Research Scientist - USA
Inworld AI ·
Pay
$270k–500k
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.
Who We're Looking For
A year ago, reliably working agentic systems 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.
- Foundation models: training, new architectures, RL, reward modeling, scaling
- Evaluation: benchmarks, eval loops, quality measurement, LLM-as-judge, failure analysis
- Frontier topics: multimodal models, agents, tool use, test-time compute, world models
- Published research at ICML, ICLR, NeurIPS, EMNLP, ACL, or AAAI
- PhD in ML/NLP — or equivalent practical experience you can point to
- Public work: non-trivial AI side projects, interdisciplinary experiments, open-source contributions
- Full-stack research ownership: you frame the question, run the experiments, write the paper, ship the result
If you learned through building, competitions, or collaborations outside academia, that counts. We care about evidence, not credentials.
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 research isn't finished until it’s shipped. You have a bias for impact over purely academic output
- You don't just ship code; you obsess over the why. You’re the first to question an approach if you think there’s a better way to solve the core 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 researchers who say "I don't know yet" and then design the experiment that finds out. We treat evaluation as a first-class research product, not a box to check before launch. Impact comes before publications though we support sharing work that moves 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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