Location: New York
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
We are seeking an experienced Privacy Program Manager to join our Legal Team and help build and scale ElevenLabs’ global privacy program. In this role, you will translate privacy requirements into effective, repeatable processes across the company and drive the day-to-day operation of key privacy initiatives.
You will work closely with Legal, Product, Engineering, Security, Safety, and GTM teams to operationalize privacy-by-design, manage privacy assessments and compliance workflows, and strengthen the systems and processes that support ElevenLabs’ growing global business. This role is ideal for someone who combines deep privacy program experience with strong project management skills and enjoys building scalable programs in a fast-moving AI environment.
RESPONSIBILITIES
- Manage and continuously improve ElevenLabs’ global privacy program, translating legal and regulatory requirements into scalable operational processes and controls.
- Own and coordinate privacy compliance workflows across frameworks including GDPR, CCPA/CPRA, US state privacy laws, HIPAA, and applicable biometric privacy requirements.
- Manage privacy impact assessment processes, including Privacy Impact Assessments (PIAs), Data Protection Impact Assessments (DPIAs), and assessments involving AI systems, biometric data, voice technologies, health information, and other sensitive data.
- Partner with Product, Engineering, Legal, and Security teams to operationalize privacy-by-design throughout the product development lifecycle.
- Maintain data inventories, records of processing activities (RoPAs), data flow documentation, and other privacy governance records.
- Manage processes for data subject and consumer rights requests, including access, deletion, correction, and opt-out requests, and help ensure requests are handled consistently and within applicable deadlines.
- Partner with Security and Legal on third-party and vendor privacy assessments, data processing requirements, and privacy-related risk remediation.
- Support privacy incident response and regulatory or customer inquiries by coordinating documentation, stakeholders, timelines, and follow-up actions.
- Implement and administer privacy tooling and automation to improve the efficiency and scalability of privacy operations including maintaining ElevenLabs’ consent management platform and partnering with Legal, Marketing, Product, and Engineering to ensure cookie, tracking technology, and other consent and preference mechanisms are appropriately configured, documented, monitored, and updated as our products and regulatory requirements evolve.
- Develop privacy program metrics, dashboards, and reporting to track compliance, identify risks, and communicate program maturity and priorities to stakeholders.
- Develop and maintain privacy policies, procedures, playbooks, templates, and internal guidance.
- Coordinate privacy training and awareness initiatives across the company.
WHO YOU ARE
- Excited by AI and emerging technologies and interested in solving novel privacy challenges involving voice, biometrics, health information, and other sensitive data.
- An exceptional program manager who can turn complex requirements into clear workstreams, owners, milestones, and measurable outcomes.
- Comfortable operating across Legal, Product, Engineering, Security, and commercial teams and able to communicate effectively with both technical and non-technical stakeholders.
- Highly organized and detail-oriented, while able to prioritize effectively and maintain momentum across multiple workstreams.
- Pragmatic and solutions-oriented, with a strong instinct for building processes that manage risk without creating unnecessary friction.
- Comfortable building programs and processes from the ground up in a fast-paced, high-growth environment.
WHAT YOU BRING
- 6+ years of experience in privacy program management, privacy operations, data governance, compliance, or a related field, ideally within a technology, SaaS, or AI company.
- Demonstrated experience operationalizing privacy requirements under frameworks such as GDPR, CCPA/CPRA, and other US state privacy laws as well as sector specific frameworks such as HIPAA and biometric privacy requirements.
- Technical mindset, you can read a data flow diagram, understand system architectures and keys to data handling and can translate between legal requirements and engineering implementation.
- Experience building or significantly improving privacy review processes, privacy impact assessments, or privacy control frameworks.
- Hands-on experience managing consent management platforms and cookie/tracking technology compliance, including consent configuration, preference management, and coordination with technical and marketing teams.
- Familiarity with security and privacy frameworks such as SOC 2, ISO 27001, or similar.
- Privacy certifications such as CIPP/US, CIPP/E, CIPM, or CIPT are a plus.
- Excellent project management, communication, stakeholder management, and problem-solving skills.
LOCATION
This role is remote and can be executed in the United States. We have a strong preference for the Eastern time zone, ideally New York.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
We have a strong preference for the Eastern time zone, ideally New York
Location: New York
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
We are seeking an experienced U.S. based Privacy Counsel to join our Legal Team. In this role, you will help shape and scale ElevenLabs’ global privacy program as the company continues to expand internationally. You will advise on privacy, data protection, and AI governance issues across our products and operations, while supporting commercial transactions involving data processing and technology services. You will work closely with Product, Engineering, Security, and GTM teams to provide practical, business-oriented guidance that enables innovation while ensuring compliance with evolving privacy and AI regulatory frameworks across multiple jurisdictions.
RESPONSIBILITIES
- Advise on global privacy and data protection laws, including CCPA/CPRA, HIPAA, and other U.S. and international regulatory frameworks.
- Advise on privacy and regulatory risks relating to AI systems, biometric data, voice technologies, and other sensitive data types.
- Partner with Product and Engineering teams to implement privacy-by-design principles and support responsible development of AI products.
- Conduct and oversee privacy risk assessments, including Data Protection Impact Assessments (DPIAs)and related documentation.
- Support commercial transactions by advising on data protection terms, including Data Processing Addendums (DPAs), Business Associate Agreements (BAAs), cross-border data transfers, and privacy provisions in customer agreements.
- Monitor and interpret evolving legal and regulatory developments relating to privacy, AI governance, and data use, and translate them into practical guidance for the business.
- Help develop and maintain ElevenLabs’ privacy policies, procedures, and governance frameworks.
- Support responses to privacy-related regulatory inquiries, audits, and incidents, working closely with Security and Safety teams.
WHO YOU ARE
- Curious about the future of AI and emerging technologies, with a strong sense of ownership and enthusiasm for applying privacy law to cutting-edge products.
- Comfortable navigating fast-paced, high-growth environments with evolving regulatory landscapes.
- Able to translate complex legal requirements into clear, practical guidance for product and business teams.
- Collaborative, pragmatic, and solutions-oriented, with a strong commitment to enabling innovation responsibly.
WHAT YOU BRING
- JD with active membership in at least one U.S. state bar (New York preferred).
- 6+ years of relevant legal experience, with a focus on privacy compliance and data governance.
- Experience advising AI, technology or SaaS companies on global privacy compliance and data governance.
- Experience advising on US biometric privacy laws and regulatory requirements, including laws governing biometric identifiers and information.
- Experience advising on HIPAA, healthcare privacy, PHI, and BAAs, particularly in connection with technology or SaaS products.
- Experience advising on AI, data use, or emerging technology regulatory frameworks is a strong plus.
- Familiarity with security and privacy frameworks such as SOC 2, ISO 27001, or similar.
- Excellent communication, stakeholder management, and problem-solving skills.
LOCATION
This role is remote and can be executed in the United States. We have a strong preference for the Eastern time zone, ideally New York.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: Remote - India
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as our next Staff Machine Learning Engineer on Twilio’s Conversation Memory team.
About the job
In this role, you will build the foundational AI/ML capabilities that power intelligent engagement experiences for Twilio customers - letting any application, human or AI agent, or channel know who a customer is, what they have done, and how best to reach them.
This role requires a builder and curious mindset, someone who can bridge the gap across theoretical research, production-grade experimentation and enterprise quality software. You will lead rapid research cycles to solve complex problems regarding contextual intelligence and large scale ML problems ensuring every interaction feels seamless and personalised.
Responsibilities
In this role, you’ll:
Build out new functionality within a fast moving product seeing rapid adoption.
Take a nebulous idea, design a rigorous experiment, and execute it within weeks.
Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization.
Build ML systems that hold up at Twilio scale.
Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment.
Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*Required:
8+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design.
Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action.
Proficiency in Python programming language.
Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores.
Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs
Ability to raise the technical bar of a team through mentorship, design review, and standards, without formal management authority.
Experience in building cloud-based services using AWS, GCP, or Azure.
Strong communication skills and highly effective collaborator who works well with teammates.
Desired:
Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency.
Strong background in predictive modeling on user behavior, including experiment design and the causal or counterfactual methods needed when randomization is partial.
Prior experience working in a globally distributed team.
Location
This role will be remote, and based in India - Karnataka, Tamil Nadu, Telangana State, Maharashtra and New Delhi.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: Remote - India
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as our next Principal Machine Learning Engineer in Twilio’s Customer Memory Team.
About the job
In this role, you will build the foundational AI/ML capabilities that power intelligent engagement experiences for Twilio customers - letting any application, human or AI agent, or channel know who a customer is, what they have done, and how best to reach them.
This role requires a builder and curious mindset, someone who can bridge the gap across theoretical research, production-grade experimentation and enterprise quality software. You will lead rapid research cycles to solve complex problems regarding contextual intelligence and large scale ML problems ensuring every interaction feels seamless and personalized.
Responsibilities
In this role, you’ll:
Build out new functionality within a fast moving product seeing rapid adoption.
Take a nebulous idea, design a rigorous experiment, and execute it within weeks.
Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization.
Build ML systems that hold up at Twilio scale.
Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment.
Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*Required:
10+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design.
Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action.
Proficiency in Python programming language.
Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores.
Deep expertise in the design, architecture, and deployment of production-grade ML/AI systems, including LLM orchestration, embedding models, and vector stores.
Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs
Ability to raise the technical bar of a team through mentorship, design review, and standards, without formal management authority.
Experience in building cloud-based services using AWS, GCP, or Azure.
Strong communication skills and highly effective collaborator who works well with teammates.
Desired:
Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency.
Strong background in predictive modeling on user behavior, including experiment design and the causal or counterfactual methods needed when randomization is partial.
Prior experience working in a globally distributed team.
Location
This role will be remote, and based in India - Karnataka, Tamil Nadu, Telangana State, Maharashtra and New Delhi.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: Remote - India
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as our next Machine Learning Engineer III in Twilio’s Customer Memory Team..
About the job
In this role, you will build the foundational AI/ML capabilities that power intelligent engagement experiences for Twilio customers - letting any application, human or AI agent, or channel know who a customer is, what they have done, and how best to reach them.
This role requires a builder and curious mindset, someone who can bridge the gap across theoretical research, production-grade experimentation and enterprise quality software. You will lead rapid research cycles to solve complex problems regarding contextual intelligence and large scale ML problems ensuring every interaction feels seamless and personalized.
Responsibilities
In this role, you’ll:
Build out new functionality within a fast moving product seeing rapid adoption.
Take a nebulous idea, design a rigorous experiment, and execute it within weeks.
Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization.
Build ML systems that hold up at Twilio scale.
Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment.
Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*Required:
5+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design.
Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action.
Proficiency in Python programming language.
Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores.
Deep expertise in the design, architecture, and deployment of production-grade ML/AI systems, including LLM orchestration, embedding models, and vector stores.
Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs
Ability to raise the technical bar of a team through mentorship, design review, and standards, without formal management authority.
Experience in building cloud-based services using AWS, GCP, or Azure.
Strong communication skills and highly effective collaborator who works well with teammates.
Desired:
Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency.
Strong background in predictive modeling on user behavior, including experiment design and the causal or counterfactual methods needed when randomization is partial.
Prior experience working in a globally distributed team.
Location
This role will be remote, and based in India - Karnataka, Tamil Nadu, Telangana State, Maharashtra and New Delhi.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: Saudi Arabia
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
About the role
We're looking for founding a highly motivated, self-starter Account Executive who is passionate about voice technology and how it is changing businesses. We don't just sell a product or custom-level solutions; we are partnering with our strategic enterprises to help them generate new experiences and monetisation opportunities at scale with our breakthrough voice technology. In this role you will:
- Build and manage a growing portfolio of strategic enterprise accounts in the Saudi Arabia to help ElevenLabs meet its revenue goals.
- Identify and develop high-value business opportunities that align with ElevenLabs' product offering and roadmap.
- Generate leads, negotiate complex contracts and close sales in collaboration with the Growth team.
- Be responsible for KPI and sales performance tracking, providing weekly updates to the wider ElevenLabs team.
Who you are
We're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You'll strive with us if you:
- Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech.
- Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead.
- Are analytical, efficient, and strive on solving complex challenges with a first principles mindset.
- Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations.
- Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside.
What you bring
- Proven track record of meeting & exceeding sales targets in a fast-paced environment, selling into large and strategic enterprises in the Saudi Arabia
- +10 years of previous experience in sales in a SaaS organisation, with experience managing strategic, complex, deal cycles.
- Extensive experience working in the Saudi Arabia
- Expertise or willingness to learn everything about Voice AI industry and how ElevenLabs' solution can help.
- Excellent communication and interpersonal skills, with the ability to build and maintain relationships with stakeholders at all levels of an organization.
- A hybrid of customer & product-driven mentality that prioritises client impact, satisfaction & scale.
- The role is based in the Saudi Arabia
- Plus: Proficiency in Arabic.
#LI-remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: Saudi Arabia
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
About the role
We're looking for founding a highly motivated, self-starter Strategic Account Executive who is passionate about voice technology and how it is changing businesses. We don't just sell a product or custom-level solutions; we are partnering with our strategic enterprises to help them generate new experiences and monetisation opportunities at scale with our breakthrough voice technology. In this role you will:
- Build and manage a growing portfolio of strategic enterprise accounts in the Saudi Arabia to help ElevenLabs meet its revenue goals.
- Identify and develop high-value business opportunities that align with ElevenLabs' product offering and roadmap.
- Generate leads, negotiate complex contracts and close sales in collaboration with the Growth team.
- Be responsible for KPI and sales performance tracking, providing weekly updates to the wider ElevenLabs team.
Who you are
We're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You'll strive with us if you:
- Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech.
- Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead.
- Are analytical, efficient, and strive on solving complex challenges with a first principles mindset.
- Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations.
- Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside.
What you bring
- Proven track record of meeting & exceeding sales targets in a fast-paced environment, selling into large and strategic enterprises in the Saudi Arabia
- +10 years of previous experience in sales in a SaaS organisation, with experience managing strategic, complex, deal cycles.
- Extensive experience working in the Saudi Arabia
- Expertise or willingness to learn everything about Voice AI industry and how ElevenLabs' solution can help.
- Excellent communication and interpersonal skills, with the ability to build and maintain relationships with stakeholders at all levels of an organization.
- A hybrid of customer & product-driven mentality that prioritises client impact, satisfaction & scale.
- The role is based in the Saudi Arabia
- Plus: Proficiency in Arabic.
#LI-remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: Paris
Workplace: OnSite
ABOUT VOODOO
Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.
TEAM
The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile gaming industry.
As a Senior Data Product Manager, you will be joining the BI/Prediction Team which is an autonomous squad of around 10 people, delivering best-in-class predictive solutions using Machine Learning algorithms for our growth operations. The team is composed of top-tier data scientists and analysts.
ROLE
We are looking for a Senior Data Product Manager who is deeply passionate about machine learning and data-intensive products, leveraging among the largest datasets available in the industry. You will play a crucial role in building ML prediction products for our growth operations while working in direct cooperation with our Prediction Tech Lead.
- Drive and own product vision, strategy and roadmap, guide feature prioritization and scope.
- Conduct discovery with growth and other stakeholders (e.g., Gaming) to anticipate business needs and detail the specifications for the tech team.
- Coordinate new product releases (e.g., prediction for a new app), assess impact and collect users feedback.
- Address stakeholders questions/feedback, onboard them on the product, perform analysis, and flag key prediction/analytics issues to tech.
- Collaborate with external partners (e.g., networks, MMM) on prediction projects, and identify new opportunities via benchmarking.
- Stay updated on privacy topics (e.g., Privacy Sandbox, ATT) through monitoring and testing.
- Support the tech team by identifying new organizational tools and processes to improve efficiency.
- Act as the main point of contact for top management on deliveries and decisions
- Apply analytical thinking to continuously evaluate and improve product performance
PROFILE
- Extensive proven experience as a Product Manager in the tech industry
- Data analyst or Data Scientist background is a strong plus
- Value-driven, data-driven, and open-minded problem solver
- Great communicator and a team player, who likes to drive results together.
- You are fluent in English and have a French conversational level.
- Interest in gaming and mobile apps
BENEFITS
- Competitive salary upon experience
- Swile Lunch vouchers
- Gymlib (100% borne by Voodoo)
- Premium healthcare coverage SideCare, for your family is 100% borne by Voodoo
- Child day care facilities (Les Petits Chaperons rouges)
- Wellness activities in our Paris office
- Flexible vacation policy
- Remote days
Critical member of a consultative sales team with a core focus on developing and closing new business opportunities with your assigned accounts. Maintain expert knowledge of Highradius solutions to ensure current and potential new customers have appropriate expectations for products and services.
Serve as deputy to the CISO: act with full authority in the CISO's absence and represent the security organization to executives, customers, and regulators. Lead, coach, and grow managers and senior engineers across Security Engineering and Security Operations.
Location: Prague, Czechia
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
About the Team
Our Wolt Workplace team runs our offices, to ensure our workplaces’ functionality, comfort, safety, sustainability and efficiency. Our Workplace Managers in-country ensure that our offices are properly set up for collaboration, and that workplace programs cater to a diverse population of onsite and remote employees. Workplace is a part of the wider Real Estate & Facilities teams and in partnership with the wider team we aim to remove any and all friction in the physical space that prevents our employees from being their most successful.
You’ll be responsible for the Workplace Experience and Operations for a specific country, running things on the ground and creating functional and efficient workplaces for our offices, employees and guests.
Role background
Wolt is looking for an experienced Workplace Manager who will report to the Global Workplace & Facilities Manager and work out of our Prague Office while also supporting our smaller office in Brno. You will help shape our workplace experience and run operations. The person in this position must be a creative problem solver; adept at handling multiple tasks concurrently. Combining People, Technology, and Space across our Office and Serviced Office locations to create an exceptional workplace experience for our Employees, Visitors and Contractors whilst ensuring an optimal use of resources. You will need to possess the ability to take thoughtful initiative and the desire to go above and beyond. Offering an exciting and fast-paced work environment, we are looking for a committed, hands-on, customer-focused individual with the ability to keep pace with our dynamic growth.
What you’ll be doing
You are the primary point of contact / Directly Responsible Individual to landlords, vendors and local stakeholders for all workplaces within your country.
Day-to-day implementation of policies, procedures, and programs that assure well-managed, well-maintained building/s with a focus on functionality, comfort, safety, sustainability and efficiency.
Lead all workplace programs, including but not limited to food & beverages, lockers, mail services, space planning, reception experience, and workplace technology.
Manage all site-specific workplace projects and initiatives to improve the workplace by writing playbooks, operationalizing guidelines, and physically improving the office.
Streamline accessibility of our offices and services ensuring spaces and services are easy to navigate and use, automating and innovating to enable self service where it makes sense.
Promote a high level of employee satisfaction by ensuring prompt responses to the concerns and needs of the occupants, environmental, health and safety, and quality programs. Ensure the same level of service from team members and Workplace vendors.
Working alongside local and global stakeholders, develop and maintain a detailed understanding of Wolt’s business and key factors influencing their service requirements.
Build strong relationships with business leaders and local teams to understand their business functions and how to deliver workplace experience strategies that support them.
Coordinating the activities, financials, vendors, and staffing required for current and future needs of the building, infrastructure and operations including owning the country facilities operating budget.
Establish, maintain and manage vendor relationships and implement clear KPIs and contract management processes to ensure efficient service agreements are met.
On-site stakeholder liaison during planning and construction of office expansions.
Responsible for space planning, tracking, move coordination, and new hire space accommodations.
Manage the planning, execution, and post-event reporting of team onsite events and support ad-hoc company-wide event needs in the local office. Creating and communicating processes for employees to self manage large internal events, and coordinating workplace specific event related tasks such as workplace activation initiatives, cleaning, room setup and building specific protocols.
Collaborate with Global Real Estate, Facilities, IT, Safety, Security and Sustainability teams to roll out global policies and initiatives Woltwide.
What we look for
Multi-year experience in Office, Workplace or Facilities Management in a global organization within a fast-paced and high growth environment
Strong and passionate Customer focus
Proven Vendor Management experience
Event Management experience a bonus
Enjoy taking ownership and solving problems independently and proactively.
Excellent written and verbal communication skills in English
Ability to work autonomously in a fast-moving environment, strong relationship building and stakeholder management skills, and a true growth mindset to consistently learn and develop skills.
Willing to participate in First Aider and Fire Warden Training and ready and willing to provide assistance in an emergency
Comfortable collaborating remotely and dynamically using digital tools such as GSuite, Slack and Zoom.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
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Location: Strasbourg, France
Are you a fast learner who enjoys solving problems and working autonomously while being supported by a collaborative team? If so, this could be the right opportunity for you.
VALD is seeking a Production and Operations Assistant to join its Warehouse and Operations team in Strasbourg.
About VALD
VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to over 10,000 clients in over 150 countries. If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies.
Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 300 team members in over 35 countries, with 5 offices across four continents.
Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD's suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation.
A
bout the VALD Production and Operations Team:
The VALD Production and Operations team services the entire VALD suite of hardware products using a large range of components to dispatch to our clients around the world. Our team is physically fit with can-do attitudes, multi-skilled and able to perform a wide range of warehouse duties.
About the position:
We have plenty of growing left to do, so we are looking for a Production & Operations assistant to join our team in our Strasbourg office.
The VALD Production and Operations team service the entire VALD suite of products using a large range of components to dispatch to our clients around the world. Our team is physically fit with can-do attitudes, multi-skilled and able to perform a wide range of warehouse duties. Is this you?
What you will do:
Instigating repair workflows, including diagnostics, repair scheduling, documentation, and internal communication.
Working with SOP’s and Instructions, following flows and expected troubleshooting steps.
Preparing products for shipping in a timely manner so that the carriers can collect and distribute.
Asset location tracking and warranty card completion.
Capable of overseeing daily shipping activities, including carrier coordination, shipment tracking, and resolution of delivery issues.
About You:
High level of attention to detail and commitment to quality control.
Adaptable and willing to learn new skills and processes.
Full working rights in the EU, and no restrictions to travel to VALD HQ in Australia
Experience with hand and power tools and experience in a component assembly role.
Exceptional Mechanical aptitude with the ability to problem solve.
Physically unrestricted to work in an operations/ warehouse environment (EU Office, Strasbourg).
We recognise that not all applicants will have skills that match a job description exactly. VALD's best asset is not our technology, but our people and culture. We choose people based on how well we think they will work in the VALD team.
Why VALD?
The perks of working with us are pretty great! The list is extensive of what we offer when you join VALD, here’s just a few:
The opportunity to work in a company that is redefining allied healthcare.
Learn from a range of high-performing individuals and teams across a range of disciplines.
Be part of a down-to-earth, inclusive and vibrant team.
The latest equipment and remote setup to perform at your best.
VALD Diversity & Inclusion Commitment
VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background and sexual orientation. We welcome applications from people from all backgrounds.
Conditions of Employment
Successful applicants will be subject to background checks (including identity and criminal record checks). It will be a condition of employment that the background checks return acceptable results.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE:
We're looking for a Senior Fullstack Engineer for our commercial product LangSmith, an observability and evals platform. In this role, you'll have the opportunity to shape the technical direction of our platform while working closely with enterprise customers, developer end-users and internal stakeholders.
WHAT YOU WILL DO:
- Lead the technical architecture and implementation of key product features for LangSmith, working across our entire Go, Python, and Typescript stack.
- Collaborate closely with product and design teams to iterate on new features.
- Mentor and guide more junior members of the team. Drive aggressive project timelines while ensuring high engineering standards are being met.
- Lead by example in writing clean, maintainable, and well-tested code
WHAT YOU BRING:
- 5+ years of experience in software engineering working on complex platform products
- Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend.
- Strong understanding of database systems, particularly Postgres and Redis
- Experience designing and scaling APIs, preferably in a high-performance, data-intensive application
- A “get stuff done” attitude - comfortable shipping fast and iterating based on user feedback
- Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers
- Strong ownership mindset
- Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms
Annual salary range: $175,000-$240,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: New York, NY
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE TEAM
The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.
ABOUT THE ROLE
We are looking for a Senior Backend Engineer to join us. In this role you will be building the backend systems that power LangChain’s observability and evals platform. You will work on the core services that allow developers to monitor and evaluate their AI applications at scale. While the focus is on backend feature development, familiarity with fullstack or frontend engineering, performance tuning, and debugging production issues would be extremely valuable.
WHAT YOU'LL DO
- Design, develop, and maintain backend services and APIs to support LangSmith’s tracing, monitoring, and evaluation workflows.
- Collaborate on architectural decisions to ensure systems are performant and maintainable.
- Optimize storage and query performance for high-volume observability and evaluation data.
- Ensure system reliability through strong testing, monitoring, and alerting practices.
- Troubleshoot and resolve production issues, performing root-cause analysis and implementing long-term fixes.
- Create and maintain technical documentation, including system design and API references.
- Work closely with full-stack engineers, product managers, and product designers on rolling out new features.
WHAT YOU'LL BRING
- 5+ years of professional experience in backend engineering working on highly complex products
- Proficiency in one or more backend languages/frameworks, ideally Python or Go
- Strong understanding of API design and building reliable data services.
- Experience with high-throughput or mission-critical systems.
- Demonstrated ability to optimize backend services for performance and reliability.
- Experience with database systems (Postgres, Redis, Clickhouse), and cloud platforms (AWS, GCP, Azure)
- Strong communication skills, with the ability to collaborate cross-functionally
- Customer centricity and ownership mentality
Compensation
Annual salary range: $180,000- $240,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: San Francisco, CA
Workplace: Hybrid
About Niantic Spatial
AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time.
That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are.
In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right.
Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us.
About the Team
Localization is where the map meets the moment. Our localization team builds the living geospatial world model and the centimeter-level Visual Positioning System (VPS) that lets people and robots know exactly where they are, from any camera, almost anywhere on Earth.
That system is learned, not hand-built. Our localization stack has moved from classical geometry to visual models trained on billions of posed images — models that have to be accurate to the centimeter, robust to lighting and seasons and clutter, and fast enough to run in production for every query. This team sits at the junction of research and production: we take what works in a paper, make it work on our data, and make it work for customers.
About the Role
We're hiring an AI Engineer, Computer Vision, to contribute to the deep learning models at the heart of our localization system. Working alongside experienced researchers and engineers, you'll help train and iterate on the visual models — feature extractors, matchers, pose regressors, and retrieval models — that turn a single image into a precise position in the world.
This is a full-loop environment. You'll get exposure to the entire pipeline: the data the model learns on, training, evaluation, and the service that runs it in production. You'll be surrounded by people who care deeply about correctness — where a loss curve going down is not the same as a system getting better — and you'll grow into that rigor quickly.
What You'll Do
- Train and Evaluate Models — Implement, train, and evaluate visual localization models in PyTorch: local feature extraction and matching, image retrieval, pose regression, and scene-coordinate regression. Iterate on architectures, loss functions, and training loops to improve accuracy on real production captures.
- Build Data Pipelines — Contribute to high-throughput ingestion and preprocessing pipelines that turn raw imagery, poses, and 3D point clouds into training-ready datasets, including curation, sampling, and augmentation.
- Run Experiments at Scale — Run training jobs across GPU environments on our 30-billion-image corpus, working with senior engineers and ML Infrastructure to keep experiments reproducible and results interpretable.
- Extend the Benchmark — Help build and maintain the evaluation suite for localization — pose accuracy, recall across lighting and season changes, and latency under production load — so results are comparable across model versions.
- Support Production Deployment — Work with senior engineers to take models from checkpoint toward serving: export, inference optimization, and monitoring once live. Learn what it means to own a model end-to-end, not just hand off a checkpoint.
- Bridge Research and Product — Work with the Research team and Real-World Test Lab to understand how field failures translate into training data and benchmark improvements.
What You'll Bring
- Experience training deep learning models for computer vision tasks in PyTorch — through coursework, research, internships, or early industry work.
- Foundational understanding of at least one of: visual localization, learned feature matching, image retrieval, pose estimation, SLAM, or structure-from-motion, and the 3D geometry underneath them (camera models, epipolar geometry, pose parameterizations).
- Comfort working with large image or 3D datasets — preprocessing, curation, and understanding how data quality affects model behavior.
- Familiarity with GPU-based training and the ability to read and reason about training runs — identifying whether a bottleneck is in data loading, compute, or model architecture.
- Strong Python skills and a habit of writing code that others can rerun and build on.
- A bachelor's or master's degree in computer science, computer vision, robotics, or a related field, or equivalent practical experience.
Nice to Have
- Published or contributed to work on learned localization, visual place recognition, scene-coordinate regression, or vision foundation models (CVPR, ECCV, ICCV, NeurIPS, 3DV, or equivalent).
- Experience with large-scale self-supervised or multi-view pretraining, or fine-tuning vision foundation models for geometric tasks.
- Exposure to inference optimization for edge or mobile hardware (TensorRT, ONNX, CoreML, or similar).
- Experience with petabyte-scale spatial data: point clouds, meshes, posed image collections, or geospatial indexing.
- Background in robotics, augmented reality, 3D reconstruction, digital twins, or autonomous systems.
- Prior industry or research internship experience shipping or contributing to a production CV system.
Compensation & Benefits
The expected salary range for this role is $165,600 - $221,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more.
Location & Work Model
This role is based in our San Francisco, CA office on a hybrid schedule with a minimum of 3 days per week in office.
Inclusive Application
We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for.
Equal Opportunity
Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.
Candidate Privacy
I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.
Location: Remote; Europe; United States; New York
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
We're hiring a Direct Tax Lead to own our US income tax provision, compliance, and controls, reporting to the Head of Tax. ElevenLabs operates through its US entity and ~9 international entities and is growing fast, which means the provision, the compliance calendar, and the controls around them need a dedicated owner.
This is a hands-on ownership role. The provision and returns are prepared by external providers; you manage those engagements and are accountable for the output. You'll own the quarterly and annual ASC 740 provision (deferreds, valuation allowance, uncertain tax positions, rate rec, footnote disclosures), the US federal and state compliance calendar (returns, extensions, estimated payments), and the technical work underneath it: §174 capitalization, §382 and NOL tracking.
You'll also assist in designing, documenting, and operating controls, and write the memos that support our positions, working directly with our Big 4 advisors and external auditors alongside the Head of Tax.
REQUIREMENTS
- Deep ASC 740 expertise at a multinational — provision, deferreds, valuation allowance, uncertain tax positions, rate reconciliation, and footnote disclosure
- Experience owning a US federal and multistate compliance calendar (returns, extensions, estimates)
- Working knowledge of US international provisions (NCTI/GILTI, Subpart F, FDDEI, §163(j)) and how they flow into the provision
- Experience managing Big 4 or equivalent providers and working directly with external auditors
- Has built or operated SOX controls over tax, or supported a first SOX implementation
- CPA
Bonus: pre-IPO or first-10-K experience, §174/§41 computation, §382 studies, equity compensation tax (ISOs, NSOs, RSUs), OneSource Tax Provision or similar.
GROWTH POTENTIAL
We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role:
- Build and lead the direct tax team as we bring provision and compliance in-house
- Expand into other strategic initiatives such as M&A, PE mitigation policy, corporate structuring.
- Broaden into wider tax leadership as our footprint grows
LOCATION
This role is remote-first, so it can be executed from anywhere on the east coast, New York preferred.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE TEAM
This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Sales Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
ABOUT THE ROLE
You'll work on some of the hardest problems in applied AI alongside customers. This is not demos or research, but helping teams build systems they rely on in production. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world.
WHAT YOU’LL DO
- Co-architect and co-build production AI agents with customer engineering teams
- Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
- Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
- Advise customers post-sale on architecture, best practices, and roadmap-level decisions
- Run technical demos, trainings, and workshops for developer audiences
- Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
- Occasionally contribute code upstream when it meaningfully improves customer outcomes
- This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement
WHAT YOU’LL BRING
- 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
- Strong Python, JavaScript and systems fundamentals
- Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
- Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
- Can explain technical tradeoffs clearly and build trust with developer audiences
- Take responsibility for outcomes, not just recommendations
- Have a bias toward action and enjoy figuring things out as you go
- Are excited about operating AI agents in production, not just building demos
NICE TO HAVE’S:
- You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
- Worked with LLM evaluation, observability, or guardrails
- Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
- Have shipped and operated production software and are comfortable owning systems under real-world constraints
COMPENSATION
Annual OTE range: $185,000–$315,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: New York, NY
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE TEAM
This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
ABOUT THE ROLE
You'll work on some of the hardest problems in applied AI alongside customers. You will help customers adopt innovative new practices in agentic engineering, and ensure they ship reliable agents into production, quickly. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world.
WHAT YOU’LL DO
- Co-architect and co-build production AI agents with customer engineering teams and customers
- Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
- Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
- Advise customers post-sale on architecture, best practices, and roadmap-level decisions
- Build and run tailored demos, trainings, and workshops for developer audiences
- Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
- Interface with LangChain's engineering, product and design (EPD) team to share field perspectives and guide product direction based on customer priorities
- Occasionally contribute code upstream when it meaningfully improves customer outcomes
- This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement
WHAT YOU’LL BRING
- 1-3 years of experience in software engineering, customer engineering, solutions engineering, founding engineering, or a similarly technical role, ideally at a startup or high-growth company
- Strong Python, JavaScript and systems fundamentals
- Hands-on experience building and deploying agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
- Strong technical communication skills and builder credibility; Can explain technical tradeoffs clearly, translate complex AI concepts into actionable insights, and build trust with technical customers and engineering teams
- Excited to work directly with customers during POCs, architecture reviews, and technical evaluations
- Take responsibility for outcomes, not just recommendations
- Have a bias toward action and enjoy figuring things out as you go
- Are excited about shipping AI agents in production
NICE TO HAVE’S:
- You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
- Worked with LLM evaluation, observability, or guardrails
- Have experience with cloud environments (AWS, GCP, Azure), containers, and Kubernetes concepts
- Have shipped and operated production software and are comfortable owning systems under real-world constraints
COMPENSATION
Annual OTE range: $160,000-185,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
We have a strong preference for the Eastern time zone, ideally New York
УдалённоRemote - India
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