Location: San Francisco, CA | New York City, NY | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your initial focus will be account compromise: Anthropic's enforcement systems have to distinguish customers whose accounts have been compromised from actors abusing the platform — and today those two populations can look identical in the data. Stolen credentials and leaked keys are a growing abuse vector, and the collateral damage from enforcement against them lands on legitimate users. You'll own this problem end to end: detection, revocation, user notification, remediation, and the criteria for restoring access — turning what is today ad hoc incident response into a scalable, repeatable program.
This position may expand into broader areas of enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way.
Key responsibilities
Investigate credential-compromise incidents across first-party and third-party platforms, tracing actor behavior across accounts and surfaces
Design and operate remediation workflows for compromised accounts: revocation, customer notification, and standards for restoring access
Partner with Engineering and Data Science teams to improve how we separate compromised-customer traffic from willful abuse
Enforce usage policies with a focus on detecting and mitigating potentially harmful use of AI systems
Work with threat intelligence on emerging credential-abuse patterns and the actors behind them
Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios
Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows
Write the policy framework for compromise scenarios, including cases where Anthropic can't independently verify a customer's security posture
Act as the enforcement SME when account compromise intersects with active abuse investigations
Minimum qualifications
Experience in trust and safety, fraud investigation, security operations, or a related field
Subject matter expertise in one or more of: account takeover, credential abuse, session security, or incident response
Experience designing or operating enforcement, remediation, or customer-recovery flows — not just detection
Comfort using data (SQL or similar tools) to trace actor behavior across accounts and to measure what's working
A thoughtful perspective on the tension between protecting the platform and restoring access for legitimate compromised customers
Strong written communication skills, with experience producing clear briefs about messy incidents for technical and non-technical stakeholders
Excellent judgment and the ability to collaborate with team members while navigating rapidly evolving priorities and workstreams
Preferred qualifications
Familiarity with credential-theft ecosystems or threat intelligence tooling
Experience working with fraud/risk vendors (e.g., device or network intelligence platforms)
Experience with API platform abuse specifically, not just consumer-account ATO
A deep interest in AI safety and responsible technology development
Experience writing effective prompts for generative AI systems in a content review or enforcement context
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$245,000
—
$285,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
San Francisco, CA | New York City, NY | Washington, DC
Location: San Francisco, CA | New York City, NY | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your focus will be driving a number of enforcement areas including access controls and identity verification. You'll own the policy layer of these systems: what we ask users for, when, on what grounds, and what passes. The work sits at the intersection of policy, operations, and regulatory exposure.
This position may expand into broader areas of enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way.
Key responsibilities
Set collection policy for identity signals: what we request, in which enforcement states, and what evidence reinstates access
Improve verification program health — accuracy, appeal coverage, and consistency of outcomes
Own access policy for hard cases, including geographic restrictions and reseller arrangements
Run the operational queue for access-control cases alongside contractor support, authoring playbooks and QA'ing scaled review output
Work with Legal, Public Policy, and Privacy stakeholders to keep our approach proportionate, privacy-preserving, and responsive to an evolving regulatory landscape
Coordinate enforcement consistency with third-party platform partners
Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows
Stand up graduated enforcement in practice — verification requests, conditional reinstatement, and appeal pathways that satisfy regulatory requirements for automated decisions
Minimum qualifications
Experience in trust & safety, integrity, or risk policy work
Hands-on operational experience — you've owned or quality-checked live enforcement queues, not only authored policy
Subject matter expertise in one or more of: KYC, identity verification, age or identity assurance, or verification program operations
Experience navigating evolving regulatory landscapes (including frameworks like the DSA and GDPR) as design constraints rather than blockers
Experience driving cross-functional initiatives with Product, Engineering, Legal, and Policy partners — especially where safety, privacy, and usability tradeoffs need to be navigated together
Comfort using data (SQL or similar tools) to measure what's working and inform decisions
Strong written communication skills, with experience producing clear briefs and recommendations for technical and non-technical stakeholders
Excellent judgment and the ability to make consistent, defensible calls on ambiguous cases
Preferred qualifications
Experience with graduated/tiered enforcement systems rather than binary ban models
Experience with geographic access restrictions, sanctions screening, or reseller/channel policy
Experience building or scaling a contractor review bench
A deep interest in AI safety and responsible technology development
Experience writing effective prompts for generative AI systems in a content review or enforcement context
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$285,000
—
$330,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Palo Alto, United States
Vice President, Robot Learning
Confidential | Early-Stage Robotics Startup | San Francisco Bay Area, CA
About the Opportunity
We're partnering with an ambitious early-stage robotics company building the next generation of humanoid telepresence systems for industrial work.
The company's mission is to make dangerous, highly skilled physical work safer and more accessible by enabling expert operators to remotely control humanoid robots with real-time visual, auditory, and haptic feedback. These systems are deployed in complex environments including energy infrastructure, industrial facilities, manufacturing, and other hazardous settings.
A core part of the long-term vision is transforming teleoperation data into increasingly autonomous robotic capabilities. Rather than treating teleoperation as a temporary solution, the company views it as the foundation for building high-quality robot learning systems based on real-world interaction, force feedback, and task execution.
This is an opportunity to define the robot learning strategy at a company where machine learning is central to the product roadmap.
The Role
We're seeking a
Vice President of Robot Learning
to lead the company's robot learning organization and own the roadmap from teleoperation data collection through to learned policies and increasing levels of autonomy.
This is a highly technical leadership role for someone who enjoys building from first principles, working closely with hardware and software teams, and translating cutting-edge robotics research into production systems.
You'll have the opportunity to shape both the technical direction and the team as the company scales.
What You'll Do
Own the robot learning strategy and technical roadmap.
Build the data pipeline that transforms teleoperation sessions into high-quality training data.
Develop learning systems for contact-rich robotic manipulation using real-world demonstrations.
Design and deploy imitation learning, reinforcement learning, and policy optimization approaches for physical robots.
Work closely with robotics, controls, perception, and hardware engineers to build an integrated robotic system.
Lead the evolution from teleoperated workflows toward progressively autonomous capabilities.
Build, mentor, and grow a world-class robot learning organization.
Establish technical direction, research priorities, and engineering best practices.
Drive experimentation, deployment, and continuous improvement using real-world operational data.
What We're Looking For
Required
PhD or equivalent expertise in Robotics, Machine Learning, Computer Science, or a related field.
Significant experience building robot learning systems for real-world robotic manipulation.
Deep expertise in imitation learning, reinforcement learning, policy learning, or related techniques.
Experience working with physical robots rather than purely simulated environments.
Strong understanding of contact-rich manipulation, force feedback, and real-world robotic control.
Track record of shipping robotics systems from research into production.
Experience leading highly technical teams or serving as the technical leader for a major robotics initiative.
Preferred
Experience from leading robotics organizations or research groups such as:
OpenAI Robotics
Google DeepMind Robotics
Physical Intelligence
Toyota Research Institute
Figure AI
Agility Robotics
Covariant
Skild AI
Sanctuary AI
Dexterity
Intrinsic
Boston Dynamics
Other leading manipulation or humanoid robotics companies
Particularly valuable experience includes:
Learning from teleoperation or human demonstrations
Building commercial robot learning data pipelines
Manipulation in contact-rich environments
Haptic interfaces or force-controlled robotics
Multi-modal learning using vision, force, and proprioception
Scaling robot learning infrastructure across fleets
Who You Are
Builder-first with a passion for deploying robotics in the real world.
Comfortable operating in an early-stage, fast-moving environment.
Excited by ambiguous technical problems with significant ownership.
Able to balance long-term research vision with near-term product execution.
Motivated by building a team, not just contributing individually.
Collaborative, hands-on, and deeply technical.
Why Join
Define the robot learning strategy from an early stage.
Build systems that operate in challenging, real-world industrial environments.
Work across hardware, controls, perception, and AI to solve end-to-end robotics problems.
Help shape the future of intelligent humanoid robotics.
Significant technical ownership with the opportunity to build and lead a high-impact organization.
Location:
San Francisco Bay Area, California (onsite)
Employment Type:
Full-time
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We're hiring a Personal Brand Lead for our Marketing team based in London.
WHAT YOU’LL DO:
- Develop and execute a comprehensive personal brand strategy for the founder;
- Build and maintain strong relationships with media, journalists, and influencers;
- Secure interviews, features, and bylined articles in relevant media outlets;
- Oversee creation of content such as articles, social media posts, speeches, and thought leadership materials;
- Identify and arrange speaking opportunities at conferences, forums, and industry events;
- Prepare the founder for public appearances and media interactions;
- Monitor and manage the founder’s public image and reputation;
- Lead social media strategy and ensure consistent, authentic messaging across platforms;
- Track performance metrics and adjust brand development strategies based on insights
WHAT WE'RE LOOKING FOR:
- More than 5 years of relevant experience in managing the personal brand of a high-net-worth individual and/or public figure (e.g., personal brand manager, celebrity producer, agent, press officer, PR lead, or similar).
- Extensive network of Tier-1 and Tier-2 media contacts, event organizers, and bloggers (investor connections are a plus) across the tech, AI, and robotics sectors in the USA, UK, and Europe.
- Excellent interpersonal skills.
- Ability to perform well under pressure and tight deadlines.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives.
We are seeking an Associate Director, Core Algorithms (Cloud) to lead the teams responsible for WHOOP's cloud-based algorithmic intelligence — the models and systems that transform physiological data into the sleep, recovery, and training insights our members rely on daily. This role is also responsible for ensuring our cloud algorithms evolve alongside WHOOP hardware, partnering with Sensor Intelligence and Hardware teams to translate new sensor capabilities into production-grade algorithmic experiences.
You will own the technical vision, execution, and organizational health of this team. You'll drive the evolution of our core production algorithms such as workout detection, strain, and sleep staging toward higher accuracy, better member experiences, and more mature development practices. You will partner closely with ML Platform, Sensor Intelligence, Research, Product, and Software Engineering to define what WHOOP algorithms can enable — not just how they perform technically, but how they show up for members.
This is a role for someone who has built and shipped physiological ML at scale in a consumer product, who has a deep product instinct for what algorithms mean to end users, and who knows how to elevate an ML organization's practices: raising the bar on tooling, processes, and standards to match the ambition of the work.
RESPONSIBILITIES
- Lead the cloud ML team responsible for the algorithms powering sleep, recovery, and training
- Directly manage applied ML scientists and ML engineers; provide coaching, career development, and performance feedback that grows individual contributors into strong technical leaders
- Ensure the technical quality bar for algorithm development is maintained by establishing the processes, reviews, and standards that guarantee rigor from research through deployment, and diving into designs and architectural decisions where necessary
- Help drive the vision for what WHOOP algorithms and next-generation sensors can enable; advocate for member experience and push the boundaries of what our data makes possible
- Ensure cloud algorithms remain compatible with future hardware generations; partner with Sensor Intelligence and Hardware to evolve proof-of-concept algorithms that leverage new sensor capabilities and bring them to production readiness
- Establish and improve development lifecycle practices: experiment management, model validation, deployment pipelines, and production monitoring
- Partner with ML Platform / MLOps to define requirements and drive maturity improvements across experiment tracking, model monitoring, deployment automation, and observability
- Drive cross-functional alignment with Sensor Intelligence, Product, Software Engineering, and Research teams
QUALIFICATIONS
- 8+ years of experience in machine learning or applied data science, with hands-on experience developing and shipping ML models for a consumer product
- 4+ years of people leadership experience directly managing machine learning scientists/engineers, with demonstrated growth of team members and a track record of building high-performing teams
- Experience scaling a production ML organization: growing teams and leaders, identifying gaps in the development lifecycle, and driving improvements that increase velocity, reliability, and rigor
- Deep product sense: ability to think about algorithms from the member's perspective, drive the vision for what algorithms can enable, and ensure the team is building toward meaningful user outcomes
- Ability to evaluate technical designs, guide architectural decisions, and ensure quality at the system level, without needing to write code day-to-day
- Experience defining and driving cross-functional programs with engineering, product, and science partners
- Strong communication skills with the ability to translate complex ML concepts to diverse audiences including product, engineering, and executive stakeholders
PREFERRED
- Experience building algorithms using physiological or wearable sensor data (e.g., PPG, accelerometer, temperature, bioimpedance)
- Experience managing through hardware-coupled development timelines where sensor availability and device generations constrain algorithm roadmaps
- Familiarity with time-series modeling, sequential data, and the specific challenges of continuous physiological monitoring
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $200,000-$245,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.
Location: New York City, NY; San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Safeguards team is responsible for ensuring our models and products are developed and deployed safely. We're looking for engineers for our Review Tooling team, which builds the systems that humans — and increasingly Claude — use to investigate potential harms and take enforcement actions across Anthropic's first-party products and third-party cloud platforms.
You'll own the tools our safety investigators rely on to understand what's happening on our platforms and act on it, as well as the platform underneath those tools. That platform includes data analysis capabilities, privacy-preserving primitives that keep review workflows compatible with our data retention commitments, and a sandbox environment where new review interfaces and workflows can be built and iterated quickly.
These are internal tools, but they are anything but low-stakes: the speed, clarity, and reliability of this tooling directly determines how quickly Anthropic can identify harmful behavior, make sound enforcement decisions, and feed signals back into model training and safety classifiers. You'll partner closely with policy, operations, data science, legal, and privacy teams to ensure our enforcement systems are effective, accurate, and trustworthy.
Key responsibilities
Build investigation, review, and enforcement tooling for both first-party and third-party platform surfaces — including case queues, investigation views, decision and audit logging, and account-actioning workflows
Develop the platform layer of reusable APIs, data storage, and backend services that lets new review workflows be stood up quickly and safely
Stand up and run deployments of this tooling across multiple clouds, including inside cloud-provider partner environments where data must stay in place. Keep the deployments consistent through shared deployment pipelines, smoke tests, observability, and alerting
Scale review through automation, including enabling reviewers to use Claude effectively and building toward Claude-assisted and Claude-driven review workflows
Partner with policy, operations, legal, privacy, and data science stakeholders to translate enforcement and investigation needs into reliable, well-designed systems that measurably reduce handling time and decision error
Instrument the tools you ship — surfacing metrics on queue health, reviewer throughput, and decision quality — and ensure tooling evolves alongside new privacy primitives and data retention commitments
Minimum qualifications
A technical background in full-stack or platform engineering, with the ability to engage deeply in architecture and design discussions
Experience shipping internal tools or platforms with demanding operational users, and a track record of improving their workflows measurably
Experience working cross-functionally with non-engineering partners such as operations, policy, or legal teams
Excellent communication skills, including the ability to explain technical tradeoffs to non-technical stakeholders
Care about the societal impacts of AI and want your work to make powerful systems safer
Preferred qualifications
8+ years of industry software engineering experience
Experience building data labeling, trust and safety, integrity, fraud, or abuse-prevention tooling, or other systems supporting human review at scale
Have built systems that handle sensitive or regulated data, with requirements around access control, auditability, retention, and data residency
Have worked across multiple cloud providers, or built infrastructure designed to be provider-agnostic
A product-minded approach to internal users: you work directly with the people using your tools, watch where they struggle, and fix it
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Montreal
Our formula for success is to hire exceptional people, encourage their ideas and reward their results.
As a
Software Developer Intern
, you will join one of our development teams supporting our network development initiatives or trading businesses. Depending on the team you join, you will build advanced trading, analysis and risk applications, or advanced monitoring and automation systems leveraging cutting-edge technology. DRW enables our Software Developer Interns to develop computationally intensive software under the guidance of senior technologists with the goal of deployment during your internship. While your days will have you immersed in complex projects directly driving DRW's progress, your time also will be packed with education, responsibility, problem-solving, and social events to experience what it is like to work at DRW.
How will you make an impact?
Design, develop test, and deploy proprietary software development solutions across the firm. Examples include creating:
MLOps and High Availability inference systems
Data pipeline engineering
Agentic / RAG / MCP(tools) Development
GPU optimization and management
Full stack web applications and dashboards
Identify innovative solutions to complex problems and advocate for their implementation to your team by
communicating your ideas in a clear and concise manner
Conduct research using a data driven approach to employ statistical analytics on large data sets
Collaborate with other software developers, quantitative traders and researchers as well as business analysts in cross-functional team environments
What do you bring to the team?
Are pursuing a bachelor's, master's, or PhD in computer science, electrical engineering, computer engineering, physics, mathematics or any related science discipline and have an expected graduation date between December 2027 and June 2028
Have exposure to multi-threaded applications, computational intelligence, algorithms, real-time programming or GUI programming
Have strong understanding of object-oriented design, data structures, and algorithms
Exhibit excellent software development skills in at least one of Python, JavaScript (Node, React, and/or Angular), C++, Ruby, C#, Go or Java, and a deep curiosity to learn and absorb new technologies quickly
What to expect during the internship?
Meaningful projects:
You'll receive a challenging project to complete during your time here. Each project, advised by a software engineer, promotes a comprehensive learning experience and provides you with meaningful work experience.
Community:
Throughout the summer, we host a variety of educational, social and team-building activities to foster friendship and camaraderie.
Housing:
DRW provides fully furnished apartments located close to the office making your morning commute as easy as possible.
Mentorship:
You'll build a professional relationship with an experienced mentor in your field. Mentors and mentees meet to discuss goals, challenges and professional development and explore the city together at our mentor outings.
Education:
As the trading industry continually evolves, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. You’ll complete an options course taught by an experienced trader and participate in a technology immersion course to better understand how technology and trading intersect.
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-SB1
Location: Chicago, Illinois
Our formula for success is to hire exceptional people, encourage their ideas and reward their results.
As a
Quantitative
Trading Analyst Intern
, you will gain exposure to the dynamic worlds of trading and technology in order to learn what it takes to become a successful and sustainable trader. You will work on a small team to combine the disciplines of technology, research and risk management to identify optimal trading and investment strategies within the regulatory framework through a series of project based assignments. At the conclusion of 10 weeks, you will have the opportunity to present your results to senior leadership at DRW. While your days will have you engrossed with complex quantitative trading projects, your evenings will be spent exploring the city with organized social events to truly discover what it’s like to live and work in Chicago, Greenwich & New York.
How you will make an impact…
Collaborate with senior traders, technologists and quantitative researchers by developing and improving trading strategies by working directly on the trading desk
Identify and research in the development of cutting-edge market research projects using powerful analytic tools
Market research projects vary from macroeconomic data curation and analysis to application of machine learning techniques to market tick data for automated trading
Be given immediate responsibility through assignments like position tracking, calculating risk, and analyzing vital theoretical values
What you bring to the team…
Are pursuing a bachelor’s, master’s or PhD in mathematics, economics, physics, statistics, computer science or any engineering related field and have an expected graduation date between
December 2027
and
June 2028
Advanced quantitative, analytical and problem-solving skills and the ability to deploy those skills under time-sensitive situations
Proficient programming in Python
Are self-motivated, enjoy challenges and significant responsibility, and thrive in fast-paced, competitive environments
A passion for the financial markets and a deep curiosity to explore new methodologies
Strong communication skills to advocate your ideas in a clear and concise manner to the group
What to expect during the internship
Meaningful projects:
Each project, advised by a trader, promotes a comprehensive learning experience and provides you with real-world work experience.
Community:
Throughout the summer, we host a variety of educational, social and team-building activities to explore the city, foster friendships and camaraderie.
Housing:
DRW provides fully furnished apartments located close to the office – making your morning commute as easy as possible.
Mentorship:
You’ll build a professional relationship with an experienced mentor in your field. Mentors and mentees meet to discuss goals, challenges and professional development and explore the city together at our mentor outings.
Education:
As the trading industry continually evolves, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. You’ll complete an options course taught by an experienced trader and participate in a technology immersion course to better understand how technology and trading intersect.
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
The annual base salary for this position is $250,000.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-DNI
Location: Chicago, IL
Our formula for success is to hire exceptional people, encourage their ideas and reward their results.
As a
Venture Capital Analyst Intern,
you will collaborate with the investment team to research key themes and investment opportunities from early stage to growth. The ideal candidate will have meaningful exposure to private company investing and a passion for quantitatively and qualitatively evaluating investment opportunities in the venture capital landscape. This internship will provide meaningful exposure and responsibility to make an impact on a growing team. Prior interns have spent time supporting portfolio companies by assisting with financial models and pitch presentations while also researching new opportunities in the FinTech and capital markets ecosystem. In addition to a summer of meaningful work, you’ll have plenty of time to explore the city with organized social events to make the most of your 10 weeks with us.
How you will make an impact…
Underwrite and evaluate investments based on risk and return fundamentals
Assist with deal structuring and the evaluation of term sheets, including modeling the economics of deal structures in Excel and the impact on returns
Prepare discounted cash flow, competitive market and development model analyses for current and pipeline opportunities
Join meetings with current and pipeline company management teams and co-investors
Assist in the preparation of pitch decks for pipeline opportunities and follow-on investments in current portfolio companies
What you bring to the team…
Bachelor’s degree in finance, business administration, economics, accounting, or liberal arts graduating between
December 2027
and
June 2028
A minimum GPA of 3.5 on a 4.0 scale (or equivalent)
Limitless curiosity about business models, competitive dynamics and innovation
An interest in diving deep in more than one investment category, gaining exposure to companies across the financial technology landscape including, but not limited to cryptocurrency, capital markets infrastructure and financial enterprise software
Passion for high quality work and the ability to relentlessly pursue continuous improvement
An interest in pursuing personal and professional growth by learning new principles
Excellent behavioral and communication skills
Familiarity with Microsoft Office — specifically PowerPoint and Excel
Work authorization in the United States without the need for sponsorship
About your future team…
DRW Venture Capital
is a private investor in financial and enterprise technology. Our team focuses on businesses that will benefit from our engagement beyond capital: as a client, as a liquidity provider, through our review of new products, and through our deep industry expertise. Our portfolio comprises ~25 companies including NinjaTrader, OpenFin, BitGo, Pico, Talos and TradingView.
What to expect during the internship…
Meaningful Work:
You’ll primarily focus on a single challenging and wide-ranging research project to complete during your time here, in addition to intensive day-to-day work alongside the investment team. In conjunction, these promote a comprehensive learning experience while providing you with meaningful work experience.
Community:
Throughout the summer, we host a variety of educational, social and team-building activities to foster friendship and camaraderie with your fellow intern class.
Housing:
DRW provides fully furnished apartments located close to the office –making your morning commute as easy as possible.
Mentorship:
You’ll build a professional relationship with an experienced mentor in your field. Mentors and mentees meet to discuss goals, challenges and professional development and explore the city together at our mentor outings.
Education:
As technology continues to drive the trading industry forward, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. To prepare you for how technology will continue to impact trading’s future landscape, you will complete an options course framed from a developer’s standpoint to help you visualize how your technology solutions will be used in real time. As the trading industry continually evolves, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges.
The annual base salary for this position is $80,000.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-DNI
Location: Chicago
Our formula for success is simple: hire exceptional talent, empower bold thinking, and reward performance that drives impact.
As a
Software Developer
at DRW, you will be an integral member of a dynamic team of technologists, quantitative researchers, and traders. Collaborating closely, you will contribute across the full technology stack tackling complex problems that require careful analysis and swift execution.
We’re looking for individuals who are eager to learn, think critically, and deliver solutions that drive tangible impact. From day one, you will be entrusted with meaningful responsibility, supported by mentorship from experienced engineers, and participate in a rigorous training program designed to accelerate your growth in this role.
At DRW, you’ll thrive in a fast-paced, collaborative environment that values innovation, adaptability, and excellence—providing the tools and opportunities to make a direct difference.
How You Will Make an Impact:
You will design, develop, test, and deploy proprietary software that powers fundamental aspects of our business, such as:
Design, develop
,
test
and deploy
proprietary software
including
:
Trading strategy simulation software
optimized
for distributed computation
Large scale data acquisition, storage, accessibility, and visualization
Ultra-low-latency trading
strategies
Complex algorithmic trading systems
Real time trade management and risk analysis
platforms
Low level optimizations for data processing
Fully automated trading strategies
Adapters for exchange protocols
Robust inter process communication mechanisms
Analyze and tune system performance
Collaborate with
experienced teammates to learn and implement bespoke solutions that balance speed, features, and cost to improve our technology stack
What You Bring to the Team:
You’ll join us with a strong technical foundation and the ability to collaborate effectively. Specifically, you bring:
A degree in Computer Science, Physics, Mathematics, or a related engineering discipline, with graduation expected between
December 2026
and
June 2027
(Bachelor’s, Master’s, or PhD)
Proficiency
in modern
C++,
Java
or Python
Skills in multi-threading, API design and integration, data processing, and UI development
Skills in network programming (TCP/IP), multi
‐
threaded applications, computational intelligence, real
‐
time
programming
or GUI programming
A strong grasp of object-oriented design, data structures, and algorithms
Solid programming fundamentals paired with clear logical thinking and effective communication
The ability to clearly articulate and advocate for your ideas within a collaborative team environment
DRW
is a diversified trading firm with over three decades of experience bringing together sophisticated technology and exceptional talent to operate in markets around the world. We trade using our own capital and at our own risk, giving us the autonomy to move quickly and adapt to new opportunities.
Headquartered in Chicago, with offices across the U.S., Canada, Europe, and Asia, we participate in a broad range of asset classes, including fixed income, ETFs, equities, FX, commodities, and energy—trading across all major global markets. Beyond traditional trading, we’ve extended our expertise into real estate, venture capital, and cryptoassets.
At DRW, we value respect, curiosity, and open-mindedness. We believe that how we work is just as important as what we do. Our culture is defined by high expectations, integrity, innovation, and a willingness to challenge the status quo.
The annual base salary range for this position is $225,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-DNI
Location: Chicago
Our formula for success is to hire exceptional people, encourage their ideas and reward their results.
As a
Software Developer Intern
, you will build advanced trading and risk applications
leveraging
cutting-edge
technology. DRW enables our Software Developer Interns to develop computationally
intensive software under the guidance of senior technologists with the goal of deployment during your ten weeks. While your days will have you immersed in complex projects directly driving DRW’s progress, your evenings will be spent exploring the city with organized social events to truly discover what it is like to live and work in Chicago.
How you will make an impact…
Design, develop, test, and deploy proprietary software development solutions across the firm. Examples include creating:
Decoders to receive raw packet data from various exchanges and translate it into a more accessible form
Normalizers which take decoded data and build a book for each instrument traded on that exchange
Applications to
facilitate
communication around executed trades to our compliance team
Identify
innovative solutions to complex problems and advocate for their implementation to your team by communicating your ideas in a clear and concise manner
Conduct robust research using a data driven approach to employ statistical analytics on large data sets
Collaborate with other software developers, quantitative traders, and researchers as well as business analysts in cross-functional team environments
What you bring to the team…
Are pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Physics, Mathematics, Machine Learning, or any related science discipline and have an expected graduation date between
December 2027
and
June 2028
Have exposure to network programming (TCP/IP), multi
‐
threaded applications, computational intelligence, algorithms, real
‐
time
programming
or GUI programming
Have strong understanding of object
-oriented
design, data structures, and algorithms
An eagerness to learn and apply what you have learned, and to know the impact of your code
Have strong problem-solving and analytical reasoning skills
Have
strong communication
and collaboration skills
Exhibit excellent software development skills in C++, Python, or Java and a deep curiosity to learn and absorb
new technologies
quickly
What to expect during the
internship…
Meaningful projects:
You’ll
receive a challenging project to complete during your time here. Each project, advised by a software engineer, promotes a comprehensive learning experience and provides you with meaningful work experience.
Community:
Throughout the summer, we host a variety of educational,
social
and team-building activities to foster friendship and camaraderie.
Housing:
DRW provides fully furnished apartments
located
close to the office
–making your morning commute
as easy as possible.
Mentorship:
You’ll
build a professional relationship with an experienced mentor in your field. Mentors and mentees meet to discuss goals, challenges and professional development and explore the city together at our mentor outings.
Education:
As technology continues to drive the trading industry forward, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. To prepare you for how technology will continue to
impact
trading’s future landscape, you will complete an options course framed from a developer’s standpoint to help you visualize how your technology solutions will be used in real time.
As the trading industry continually evolves, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges.
DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to
operate
in markets around the world
.
We value autonomy and the ability to quickly pivot to capture opportunities, so we
operate
using our own capital and trading at our own risk
.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also
leveraged
our
expertise
and technology to expand into three non-traditional strategies: real estate, venture
capital
and
cryptoassets
.
We
operate
with respect,
curiosity
and open minds. The people who thrive here share our belief that
it’s
not just what we
do
that matters–
it's
how we do it
.
DRW is a place of
high expectations
, integrity,
innovation
and a willingness to challenge consensus
.
The annual base salary for this position is $225,000.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-DNI
Location: Sahibzada Ajit Singh Nagar (Mohali), India
Workplace: hybrid
We are currently seeking an
Applied Machine Learning / Computer Vision Engineer
to join one of our clients’ innovative AI teams.
This is an exciting opportunity to work on a next-generation AI platform combining
Computer Vision, Multimodal AI, Applied Machine Learning, and Large Language Models
.
Key Responsibilities
As an Applied ML / Computer Vision Engineer, you will:
Design, develop, and improve Computer Vision and image-processing pipelines.
Build solutions for video analysis, video understanding, and real-time visual processing.
Develop multimodal AI systems combining vision, audio, and language data.
Work with object detection, image segmentation, classification, tracking, and related Computer Vision techniques.
Implement and fine-tune Vision-Language Models and Transformer-based architectures.
Integrate Large Language Models into AI products for reasoning, analysis, and automated decision-making.
Evaluate, optimize, and deploy machine-learning models in production environments.
Improve model inference speed, accuracy, scalability, and resource efficiency.
Translate research papers and emerging AI techniques into practical product features.
Build APIs and production-grade services for AI model integration.
Collaborate with engineering and product teams to understand business requirements and deliver effective AI solutions.
Monitor model performance and continuously improve deployed systems.
Maintain clear, reusable, and well-documented code.
1–4 years of experienc
e in Applied Machine Learning, Computer Vision, Deep Learning, or a related field.
Strong programming skills in
Python.
Hands-on experience with
PyTorch.
Practical knowledge of
OpenCV and image or video processing.
Strong understanding of Deep Learning fundamentals.
Experience with object detection and/or image segmentation models.
Knowledge of Transformer architectures.
Experience working with
Vision-Language Models.
Familiarity with the
Hugging Face
ecosystem.
Experience with model inference, evaluation, and optimization.
Understanding of how to move models from experimentation into production.
Experience using
Docker
and
Git
.
Ability to independently investigate technical challenges and propose practical solutions.
Ability to understand, reproduce, and implement methods described in research papers.
Strong analytical and problem-solving skills.
Curiosity and willingness to explore new technologies.
Passion for AI, Machine Learning, and product development.
Ownership mindset and accountability for delivered solutions.
Ability to work independently and contribute within a collaborative team.
Interest in building practical products rather than focusing only on model experimentation.
Comfortable working in a fast-moving and research-driven environment.
Nice to Have
Experience with one or more of the following technologies would be considered an advantage:
YOLO
GroundingDINO
SAM or SAM2
Florence-2
Whisper
Qwen2.5-VL
LLaVA
InternVL
CUDA
TensorRT
ONNX
FastAPI
(Exceptional fresh graduates may also be considered if they can demonstrate strong technical knowledge through relevant academic work, personal projects, GitHub repositories, Kaggle participation, research, or a technical portfolio.)
Location: Germany; France
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 team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
About the Role
As the Account Management Lead you'll lead a team of experienced Account Managers across the Western Europe region. You'll balance people leadership, strategic direction, and hands-on customer impact - driving excellence in post-sales outcomes and ensuring your team consistently delivers measurable value to customers and the business.
You will:
- Lead, coach, and develop a high-performing AM team, owning team and regional NRR performance, customer retention, and expansion goals.
- Act as a player-coach: directly manage priority accounts, join key customer conversations, and model best-in-class success practices.
- Lead by example in complex post-sales and renewal cycles, unblocking issues, driving adoption, and identifying expansion opportunities.
- Set strategic direction for the team, aligning account manager initiatives with company goals and market trends.
- Monitor and optimize delivery quality across all accounts, ensuring consistency, excellence, and predictability in customer outcomes, implementing scalable processes that improve accuracy, visibility, and operational efficiency.
- Design and implement repeatable playbooks for renewals, upsells, and adoption; automate workflows and tools to scale team impact.
- Own the ongoing development and optimization of best practices for Commercial and Scale playbooks, ensuring consistent execution, measurable impact, and continuous refinement as the business evolves.
- Build and maintain executive-level relationships across priority accounts, serving as a strategic advisor and customer advocate in internal and external forums.
- Represent the voice of the customer in leadership discussions, influencing roadmap, operations, and revenue strategies.
- Partner with Europe GTM & cross functional leadership to align organizational objectives, drive cross-functional initiatives, and ensure cohesive execution across customer success, sales, and operations teams.
Requirements
• 10+ years of experience in account management or post-sales roles within SaaS, ideally some of this within Western Europe accounts.
• Demonstrated technical acumen with the ability to upskill and enable the team — fostering confidence in navigating product capabilities, integrations, and data insights to strengthen customer outcomes.
• 5+ years of direct people leadership experience — managing AMs, driving team quota, and developing talent through coaching and enablement. Passion for developing people and building a high-performance, feedback-driven culture grounded in accountability, learning, and customer impact.
• Strong player-coach mindset: comfortable managing key accounts directly while leading others to excel in their own portfolios.
• Demonstrated success in exceeding renewal, expansion, and NRR goals through effective customer engagement and strategic account management.
• Expertise in CS methodologies and best practices (e.g. success planning, adoption frameworks, ROI storytelling, executive alignment).
• Strong analytical and operational skills: adept at using data to identify performance trends, optimise workflows, and forecast outcomes.
• Strong builder mindset - you thrive in building from scratch, redefining processes and playbooks, and operating with an AI-first mindset
• Bonus: Hands-on with tools (Salesforce, Gong, Sigma, Pylon) and capable of improving data quality, visibility, and usage insights across the team.
• Proficiency in German or French is required.
This role is remote-first, so it can be executed from anywhere within Europe. If you prefer, you can work from our offices in London, Dublin or Paris.
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: Amsterdam
Our formula for success is to hire exceptional people, encourage their ideas and reward their results.
As a
Software Developer Intern
, you will build advanced trading and risk applications leveraging cutting-edge technology. DRW enables our Software Developer Interns to develop computationally intensive software under the guidance of senior technologists with the goal of deployment during your ten weeks. While your days will have you immersed in complex projects directly driving DRW’s progress, your evenings will be spent exploring the city with organized social events to truly discover what it is like to live and work in Amsterdam.
How you will make an impact…
Design, develop test, and deploy proprietary software solutions across the firm. Examples include creating:
Decoders to receive raw pack data from various exchanges and translate it into a more accessible form.
Normalisers which take decoded data and build a book for each instrument traded on that exchange
Applications to facilitate communication around executed trades to our compliance team
Identify innovative solutions to complex problems and advocate for their implementation to your team by communicating your ideas in a clear and concise manner
Conduct robust research using a data driven approach to employ statistical analytics on large data sets
Collaborate with other software developers, quantitative traders and researchers as well as business analysts in cross-functional team environments
What you bring to the team…
Are pursuing a bachelor’s, master’s, or PhD in computer science, electrical engineering, computer engineering, physics, mathematics or any related science discipline and have an expected graduation date between
December 2027
and
August 2028
Have exposure to network programming (TCP/IP), multi‐threaded applications, computational intelligence, algorithms, real‐time programming or GUI programming
Have strong understanding of object-oriented design, data structures, and algorithms
An eagerness to learn and apply what you have learned, and to know the impact of your code
Have strong problem-solving and analytical reasoning skills
Have strong communication and collaboration skills
Exhibit excellent software development skills in C++, Python, Java, C#, or C and a deep curiosity to learn and absorb new technologies quickly
What to expect during the internship…
Meaningful projects:
You’ll receive a challenging project to complete during your time here. Each project, advised by a software engineer, promotes a comprehensive learning experience and provides you with meaningful work experience.
Community:
Throughout the summer, we host a variety of educational, social and team-building activities to foster friendship and camaraderie.
Housing:
DRW provides fully furnished apartments located close to the office – making your morning commute as easy as possible.
Mentorship:
You’ll build a professional relationship with an experienced mentor in your field. Mentors and mentees meet to discuss goals, challenges, and professional development and explore the city together at our mentor outings.
Education:
As technology continues to drive the trading industry forward, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. To prepare you for how technology will continue to impact trading’s future landscape, you will complete an options course framed from a developer’s standpoint to help you visualise how your technology solutions will be used in real time. As the trading industry continually evolves, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges.
DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity, and open minds. The people who thrive here share our belief that it’s not just what we do that matters – it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
Location: London
Our formula for success is to hire exceptional people, encourage their ideas and reward their results.
As a
Quantitative
Trading Analyst Intern
, you will gain exposure to the dynamic worlds of trading and technology in order to learn what it takes to become a successful and sustainable trader. You will work on a small team to combine the disciplines of technology, research and risk management to identify optimal trading and investment strategies within the regulatory framework through a series of project-based assignments. At the conclusion of 10 weeks, you will have the opportunity to present your results to senior leadership at DRW. While your days will have you engrossed with complex quantitative trading projects, your evenings will be spent exploring the city with organised social events to truly discover what it’s like to live and work in London.
How you will make an impact…
Collaborate with senior traders, technologists and quantitative researchers by developing and improving trading strategies by working directly on the trading desk
Identify and research in the development of cutting-edge market research projects using powerful analytic tools
Market research projects vary from macroeconomic data curation and analysis to application of machine learning techniques to market tick data for automated trading
Be given immediate responsibility through assignments like position tracking, calculating risk, and analysing vital theoretical values
What you bring to the team…
Are pursuing a bachelor’s, master’s or PhD in mathematics, economics, physics, statistics, computer science or any engineering related field and have an expected graduation date between
December 2027
and
August 2028
Advanced quantitative, analytical and problem-solving skills and the ability to deploy those skills under time-sensitive situations
Proficient programming in Python
Are self-motivated, enjoy challenges and significant responsibility, and thrive in fast-paced, competitive environments
A passion for the financial markets and a deep curiosity to explore new methodologies
Strong communication skills to advocate your ideas in a clear and concise manner to the group
What to expect during the internship
Meaningful projects:
Each project, advised by a trader, promotes a comprehensive learning experience and provides you with real-world work experience.
Community:
Throughout the summer, we host a variety of educational, social and team-building activities to explore the city, foster friendships and camaraderie.
Housing:
DRW provides fully furnished apartments located close to the office – making your morning commute as easy as possible.
Mentorship:
You’ll build a professional relationship with an experienced mentor in your field. Mentors and mentees meet to discuss goals, challenges and professional development and explore the city together at our mentor outings.
Education:
As the trading industry continually evolves, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. You’ll complete an options course taught by an experienced trader and participate in a technology immersion course to better understand how technology and trading intersect.
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
Location: London
Our formula for success is to hire exceptional people, encourage their ideas and reward their results.
As a
Software Developer Intern
, you will build advanced trading and risk applications leveraging cutting-edge technology. DRW enables our Software Developer Interns to develop computationally intensive software under the guidance of senior technologists with the goal of deployment during your ten weeks. While your days will have you immersed in complex projects directly driving DRW’s progress, your evenings will be spent exploring the city with organised social events to truly discover what it is like to live and work in London.
How you will make an impact…
Design, develop, test, and deploy proprietary software solutions across the firm. Examples include creating:
Decoders to receive raw pack data from various exchanges and translate it into a more accessible form
Normalisers which take decoded data and build a book for each instrument traded on that exchange
Applications to facilitate communication around executed trades to our compliance team
Identify innovative solutions to complex problems and advocate for their implementation to your team by communicating your ideas in a clear and concise manner
Conduct robust research using a data-driven approach to employ statistical analytics on large data sets
Collaborate with other software developers, quantitative traders, and researchers as well as business analysts in cross-functional team environments
What you bring to the team…
Are pursuing a bachelor’s, master’s, or PhD in computer science, electrical engineering, computer engineering, physics, mathematics, or any related science discipline and have an expected graduation date between
December 2027
and
August 2028
Have exposure to network programming (TCP/IP), multi‐threaded applications, computational intelligence, algorithms, real‐time programming, or GUI programming
Have strong understanding of object-oriented design, data structures, and algorithms
An eagerness to learn and apply what you have learned and to know the impact of your code
Have strong problem-solving and analytical reasoning skills
Have strong communication and collaboration skills
Exhibit excellent software development skills in C++, Python, Java, C#, or C and a deep curiosity to learn and absorb new technologies quickly
What to expect during the internship…
Meaningful projects:
You’ll receive a challenging project to complete during your time here. Each project, advised by a software engineer, promotes a comprehensive learning experience and provides you with meaningful work experience.
Community:
Throughout the summer, we host a variety of educational, social and team-building activities to foster friendship and camaraderie.
Housing:
DRW provides fully furnished apartments located close to the office – making your morning commute as easy as possible.
Mentorship:
You’ll build a professional relationship with an experienced mentor in your field. Mentors and mentees meet to discuss goals, challenges, and professional development and explore the city together at our mentor outings.
Education:
As technology continues to drive the trading industry forward, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. To prepare you for how technology will continue to impact trading’s future landscape, you will complete an options course framed from a developer’s standpoint to help you visualise how your technology solutions will be used in real time. As the trading industry continually evolves, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges.
DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities, and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital, and cryptoassets.
We operate with respect, curiosity, and open minds. The people who thrive here share our belief that it’s not just what we do that matters – it's how we do it. DRW is a place of high expectations, integrity, innovation, and a willingness to challenge consensus.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
About the role
We’re building a high-performance computer vision system that detects and recognizes objects on fast-moving trains and trucks. The application runs on Linux and is built with Rust/C++ and OpenCV.
You’ll join a small team of engineers and ML specialists, working directly with the technical lead on software that powers logistics, automation, tracking, and access control for ports, railways, and industrial facilities.
This is not an ML research role. Our ML team trains the models—you’ll focus on everything around them: recognition quality, algorithms, tooling, performance, and developer experience.
What you’ll do
Improve recognition quality through data analysis and application logic
Build internal tools, scripts, and developer utilities
Refactor and optimize existing systems for performance and stability
Contribute to other engineering projects when needed (web, mobile, embedded, infrastructure)
Depending on the project, you may also work with Go, Python, React/TypeScript, SQL/Postgres, and Linux tooling.
We’re looking for someone with
Strong Rust, C++, or equivalent systems programming skills
Solid Linux, Git, and command-line experience
Basic understanding of ML or data analysis
Good written and spoken English
We value engineers who are curious, take ownership, debug systematically, communicate well, and enjoy solving challenging real-world problems.
Nice to have
OpenCV, CUDA, deep learning, or custom ML model training
Linux internals, performance optimization, or low-level debugging
Docker, networking, distributed systems, or embedded development
Strong personal or open-source projects
Why Bravora?
We’re a small, fully remote engineering team where you’ll have real ownership, direct impact, and plenty of room to grow. We actively modernize our stack, encourage AI-assisted development, and provide access to state-of-the-art LLM tools.
Interested?
Send us your CV, GitHub or portfolio (if available), your earliest start date, expected hourly rate, and a few sentences about why this role interests you.
Location: San Jose, California, United States
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
As the Product Manager, you will be responsible to discover new markets and revenue opportunities and innovate new products to address the market needs. Act as an internal champion to build consensus and influence senior management for new product ideas. Identify, define, implement and instrument market research, product design, product implementation and product release processes.
Define, build and scale OKX's payment systems that powers money movement globally to help our customers gain access to a wide array of crypto assets. The scope of this role includes defining & managing product roadmaps, features including user experience and end to end integration with local & international payment providers while proactively managing the risk associated with your product. Tracking KPIs and driving growth of your product features is at the core of PM’s at OKX, while collaborating with multiple key stakeholders like designers, engineering, legal, risk, compliance, marketing, customer support & finance across the organization and get them aligned on your product roadmap and deliverables.
You’ll be joining our growing product team to help define the future of our company and product. If you are an entrepreneurial product leader, who doesn’t hesitate to propose bold ideas and roll up your sleeves to put them into action, this role will be a great fit for you.
What You’ll Be Doing
Be the owner of your payment products (ACH, Cards, Wire, SEPA, FAST, PIX, etc), you truly own it!
Define & drive every aspect of your product from developing the roadmap/backlogs/iterations in order to hit your goals & KPIs
Outline features, technical integration requirements, work with your squad of product designers, content writers, data analysts and engineers to bring your product to life
You verify your squad deliverables, align your customer support teams including all key stakeholders for any feature release/announcements to your retail users
Manage your product dashboard by tracking all your product data metrics
Drive adoption, usage of your products working closely with marketing, risk teams, keep close eye on customer frictions and voice of customer to optimize your product experience
Ensure that there are effective internal tools in place for any new product launch
What We Look For In You
Product management experience in the payments space with past experience in payments clearing, settlement and fiat custody
Visionary for trending and future crypto market needs and payments industry changes
Product innovator that can achieve business goals with unique product offering and business models
Previous experience designing and building payments systems and understanding of risk management associated with these payment options
Entrepreneurial mindset: Experience working in a fast-paced environment with competing resources and priorities. Opinionated and willing to make calls with limited information. Ability to navigate through ambiguity to advocate for resources
Excellent written and verbal communications skills; ability to translate strategy into clear and actionable plans for product development, engineering, design and marketing
Technical, comfortable with delving into the product, the platform and the implementation details. Able to engage with engineering beyond just product and user experience needs; willing to roll up sleeves and design scalable and extensible solutions
Metrics driven with proficiency in identifying, defining, tracking and acting upon metrics Experience identifying KPIs and working with engineering and analytics on instrumentation and monitoring
Familiarity with cryptocurrency exchanges and passion for crypto and blockchain innovations
Bachelor's degree in Computer Science, Engineering, or a related technical discipline
Nice to Haves
Past experience working with payments systems or crypto platforms is strongly preferred
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
OKX Statement
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
The salary range for this position is $214,666 to $321,999
The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
San Francisco, CA | New York City, NY | Washington, DC
Palo Alto, United States
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