Location: San Francisco; New York City
Workplace: Hybrid
Perplexity is revolutionizing how companies get work done. We are seeking a Product Marketing Manager to join our team and serve as the strategic bridge between our product reality and market impact. You will architect the external narrative of our products and amplify their value to inspire adoption and drive growth.
If you have a passion for creating clarity when things are messy, thrive in turning ambiguity into a definitive point of view, and want to build a world-class marketing engine that drives launches as systems rather than events, this role is for you.
RESPONSIBILITIES
- Turn ambiguity into clarity. Transform complex product capabilities into a crisp market point of view, defining not just what we built, but who it’s for, what it replaces, and why it wins.
- Drive launches as a system, not an event. Orchestrate product introductions by defining success metrics and sequencing readiness across teams, ensuring enablement and proof points land simultaneously with the launch.
- Make others materially better at their jobs. Equip customer-facing teams with "talk tracks that close," handling objections and providing competitive intelligence that reflects the actual battlefield.
- Obsess over the customer and the market. Maintain a sharp, real-time view of buyer needs and alternatives, ensuring our narrative remains grounded in truth and provable value rather than empty hype.
- Measure outcomes, not just outputs. Tie messaging and launches to tangible pipeline influence, activation, and retention, running lightweight experiments to iterate fast on pricing, packaging, and positioning.
- Influence without authority. Lead through alignment by pre-wiring decisions, surfacing risks early, and managing trade-offs to keep product, sales, and marketing moving in lockstep.
QUALIFICATIONS
- 8+ years of experience in product marketing, ideally within a high-growth technology company where you have owned end-to-end product launches.
- Proven track record of synthesizing complex technical concepts into simple, specific, and provable narratives that travel across executive, sales, and partner teams.
- Deep familiarity with the rules of traditional marketing with an interest in breaking them.
- World-class storytelling skills grounded in data, with the ability to summarize a product’s value in a single sentence and defend it with evidence.
- Extreme comfort delivering clarity in high-velocity, ambiguous environments.
Location: Honduras; Guatemala; Peru; Dominican Republic; El Salvador
Uptalent.io is seeking a highly skilled and experienced Woodframe Structural Engineer to join our fast-growing team. As a Woodframe Structural Engineer, you will have the opportunity to work with the top talent from Latam and contribute to some of the most exciting and impactful projects around the world. Uptalent.io is a global platform that connects the best companies with the best talent, and we are looking for an individual who shares our passion for excellence.
Responsibilities
Design and analyze the structures of wood-frame buildings, (mainly Residential projects) ensuring they meet applicable codes and standards of California.
Develop comprehensive structural engineering plans and make recommendations based on your findings.
Work closely with architects, builders, and other engineers to ensure that all structural components are properly designed and integrated.
Use structural analysis software to model and design wood-frame structures.
Manage project budget and timelines, identifying conflicts and making recommendations for corrective actions.
Provide technical guidance and mentoring to team members.
Requirements
At least 4 years of experience in woodframe structural engineering in projects for the United States.
Proficient iin California Building Codes.
Proficient in Autocad and EnerCalc
RISA3D nice to have
Excellent problem-solving skills and critical thinking abilities.
Strong attention to detail and ability to complete projects within given timelines.
Exceptional written and verbal communication skills in English.
Benefits
Work From Home or anywhere.
Highly Competitive Compensation.
Work for the most exciting companies in the US.
Flexible Schedule.
Healthy Work-Life Balance
УдалённоHonduras; Guatemala; Peru; Dominican Republic; El Salvador
Location: Mexico
Uptalent.io is seeking a highly skilled and experienced Woodframe Structural Engineer to join our fast-growing team. As a Woodframe Structural Engineer, you will have the opportunity to work with the top talent from Latam and contribute to some of the most exciting and impactful projects around the world. Uptalent.io is a global platform that connects the best companies with the best talent, and we are looking for an individual who shares our passion for excellence.
Responsibilities
Design and analyze the structures of wood-frame buildings, (mainly Residential projects) ensuring they meet applicable codes and standards of California.
Develop comprehensive structural engineering plans and make recommendations based on your findings.
Work closely with architects, builders, and other engineers to ensure that all structural components are properly designed and integrated.
Use structural analysis software to model and design wood-frame structures.
Manage project budget and timelines, identifying conflicts and making recommendations for corrective actions.
Provide technical guidance and mentoring to team members.
Requirements
At least 3 years of experience in woodframe structural engineering for residential projects in California.
Proficient in California Building Codes.
Proficient in Autocad and EnerCalc
Advanced Revit skills
RISA3D nice to have
Excellent problem-solving skills and critical thinking abilities.
Strong attention to detail and ability to complete projects within given timelines.
Exceptional written and verbal communication skills in English.
Residential Project Design portfolio
Benefits
Work From Home or anywhere.
Highly Competitive Compensation.
Work for the most exciting companies in the US.
Flexible Schedule.
Healthy Work-Life Balance
УдалённоMexico
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Location: Colombia
Uptalent.io is seeking a highly skilled and experienced Woodframe Structural Engineer to join our fast-growing team. As a Woodframe Structural Engineer, you will have the opportunity to work with the top talent from Latam and contribute to some of the most exciting and impactful projects around the world. Uptalent.io is a global platform that connects the best companies with the best talent, and we are looking for an individual who shares our passion for excellence.
Responsibilities
Design and analyze the structures of wood-frame buildings, (mainly Residential projects) ensuring they meet applicable codes and standards of California.
Develop comprehensive structural engineering plans and make recommendations based on your findings.
Work closely with architects, builders, and other engineers to ensure that all structural components are properly designed and integrated.
Use structural analysis software to model and design wood-frame structures.
Manage project budget and timelines, identifying conflicts and making recommendations for corrective actions.
Provide technical guidance and mentoring to team members.
Requirements
At least 4 years of experience in woodframe structural engineering in projects for the United States.
Proficient iin California Building Codes.
Proficient in Autocad and EnerCalc
RISA3D nice to have
Excellent problem-solving skills and critical thinking abilities.
Strong attention to detail and ability to complete projects within given timelines.
Exceptional written and verbal communication skills in English.
Benefits
Work From Home or anywhere.
Highly Competitive Compensation.
Work for the most exciting companies in the US.
Flexible Schedule.
Healthy Work-Life Balance
Location: Argentina
Uptalent.io is seeking a highly skilled and experienced Woodframe Structural Engineer to join our fast-growing team. As a Woodframe Structural Engineer, you will have the opportunity to work with the top talent from Latam and contribute to some of the most exciting and impactful projects around the world. Uptalent.io is a global platform that connects the best companies with the best talent, and we are looking for an individual who shares our passion for excellence.
Responsibilities
Design and analyze the structures of wood-frame buildings, (mainly Residential projects) ensuring they meet applicable codes and standards of California.
Develop comprehensive structural engineering plans and make recommendations based on your findings.
Work closely with architects, builders, and other engineers to ensure that all structural components are properly designed and integrated.
Use structural analysis software to model and design wood-frame structures.
Manage project budget and timelines, identifying conflicts and making recommendations for corrective actions.
Provide technical guidance and mentoring to team members.
Requirements
At least 4 years of experience in woodframe structural engineering in projects for the United States.
Proficient iin California Building Codes.
Proficient in Autocad and EnerCalc
RISA3D nice to have
Excellent problem-solving skills and critical thinking abilities.
Strong attention to detail and ability to complete projects within given timelines.
Exceptional written and verbal communication skills in English.
Benefits
Work From Home or anywhere.
Highly Competitive Compensation.
Work for the most exciting companies in the US.
Flexible Schedule.
Healthy Work-Life Balance
Location: Amsterdam
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
Your future role within QRT:
We are seeking a Market Microstructure Researcher to help optimize exchange connectivity and interaction for our high-frequency trading strategies. You will analyse network and exchange protocols, automate performance metrics, and lead experiments to improve our trading operations, with a focus on latency-sensitive exchanges.
Network & Protocol Analysis:
Analyse network and exchange protocol captures to identify inefficiencies and improve communication performance
Exchange Research & Liaison:
Research exchange features, attend presentations, and communicate with exchange counterparts to gather insights
Execution Optimization:
Reverse-engineer trading systems and design and conduct experiments to improve fill rates
Cross-team Communication:
Collaborate directly with trading and research teams to ensure best application of findings and direct PnL impact
Data Analysis:
Effectively work with large and robust datasets to identify and resolve inefficiencies in internal execution systems and exchange communication
Your present skillset:
Degree in Computer Science, Engineering, or a related field
5+ years of experience in data analysis and/or low-level systems and network engineering
Strong skills in Python and time-series analysis
Understanding of network protocols such as TCP/IP and Ethernet
Familiarity with market microstructure and low-latency trading is a plus
Advanced networking and GNU/Linux knowledge is a plus
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Location: Singapore
Workplace: OnSite
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
We’re looking for a highly motivated, self-starter founding Account Executive in Singapore who is passionate about voice technology and how it is changing businesses. We don’t just sell a product or custom-level solutions; we are partnering with organizations to help them generate new experiences and monetization opportunities at scale with our breakthrough voice technology. In this role you will:
1. Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals
2. Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency
3. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends
4. Demonstrate expertise—or a strong willingness to learn—about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more
Requirements
- 7-10 years of sales experience in a SaaS or technology company, ideally with exposure to AI, generative AI, LLM-based products, or API platforms
- Experience selling technical solutions to product, engineering, or innovation teams is a strong plus
- Proven track record of meeting & exceeding sales targets in a fast-paced environment
- Expertise or willingness to learn everything about voice and audio AI and how our solutions can help prospects
- Excellent communication and interpersonal skills, with the ability to build and maintain relationships with stakeholders at all levels of an organization
- A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale
- Fluency in English and one of the SEA languages (e.g. Bahasa Melayu, Thai, or Tagalog) and a deep understanding of business, cultural, and buying nuances across Southeast Asia
- Experience selling across multiple Asian markets (Southeast Asia/ASEAN ) is strongly preferred.
#LI-Remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: South Africa
ROLE OVERVIEW:
You’ll lead and close high-stakes enterprise deals across the region, expand existing relationships, and create durable revenue streams with major organizations.
- Build and grow trusted relationships with CxOs, IT leaders, and Customer Service executives in large enterprises.
- Drive measurable growth within the accounts you own, turning them into long-term success stories.
- Expand Wonderful’s footprint by opening new doors and landing fresh enterprise customers.
- Hit - and exceed - activity, pipeline, and revenue targets, setting the bar for sales excellence.
- Keep customer details sharp and actionable in Salesforce: use cases, purchase timelines, next steps, and forecasts.
- Sell on value, not features using a solution-based approach that proves real business impact for customers.
REQUIREMENTS:
- 7+ years of smashing Sales quotas in SaaS or AI-driven solutions, consistently closing large, complex accounts with multi-stakeholder cycles
- Exceptional communication, presentation, and negotiation skills
- The ability to work independently, manage a sales pipeline, and prioritize effectively
- Excellent English (written and spoken) plus fluency in local language
- A passion for artificial intelligence and a "get-it-done" attitude
- A "hunter" mentality with a track record of generating new leads and closing deals
- A proven ability to navigate and win in early-stage, high-growth environments, staying sharp and effective with limited oversight
- Strong relationships with CxOs and senior decision-makers at enterprise level with the credibility to open new doors fast
- The skill to cut through tech jargon and turn technical capabilities into clear, compelling business value that makes executives lean in
- Proven wins working hand-in-hand with System Integrators and Hyperscalers to drive joint success
- Bachelor’s Degree (or equivalent hustle and expertise)
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: South Africa
THE ROLE
As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world.
You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it.
You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results.
This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification.
WHAT YOU’LL DO
- Embed with customers to understand their workflows, constraints, and measures of success.
- Turn loosely defined operational problems into clear technical plans and production systems.
- Design and build AI agents that integrate with customer tools, data, and business processes.
- Own deployments from prototype through launch, monitoring, and continuous improvement.
- Test with real-world data, measure business outcomes, and iterate based on evidence.
- Make pragmatic tradeoffs across architecture, reliability, speed, and user experience.
- Partner closely with Wonderful’s Product and Engineering teams to improve the core platform.
- Turn lessons from individual deployments into reusable tools, patterns, and best practices.
WHAT WE’RE LOOKING FOR
- 5+ years of experience building software or solving complex technical problems.
- Strong foundations in software architecture, system design, and production engineering.
- Experience working across APIs, integrations, data flows, and distributed systems.
- The ability to bring structure and momentum to ambiguous problems.
- Confidence working directly with customers, from operational teams to technical stakeholders.
- Clear communication, sound judgment, and a strong sense of ownership.
- Genuine curiosity about applied AI and its potential to transform how businesses operate.
NICE TO HAVE
- Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role.
- Experience building AI agents, workflow automation, or conversational systems.
- Familiarity with LLM evaluation, observability, and reliability in production.
- Experience deploying and improving systems in complex enterprise environments.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: United States & Canada
Workplace: Remote
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
About the role 💭
The Radar team builds our real-time identity intelligence layer that helps developers detect risk, prevent threats, and protect their apps. Radar ingests high-volume authentication and identity events, enriches them with signals, and powers workflows that customers use to take action: enforcing challenges, blocking suspicious behavior, or triggering reviews.
Our mission is to give developers a turnkey platform for identity security and risk evaluation. The hard and interesting part for engineers is detection quality: catching real threats with high precision and very few false positives, in real time, against adversaries who are actively trying to get around us.
Engineers on Radar care deeply about correctness, performance, observability, detection quality, and the developer experience. We measure our work by real impact, often in the millions of dollars of fraud and abuse we save customers.
The engineers who thrive here are fascinated by data. Radar serves some of the fastest-growing AI companies in the world, which gives us one of the richest fraud-and-abuse datasets in the identity space.
Responsibilities ✔️
- Design and build performant, resilient systems for real-time identity event processing
- Craft intuitive APIs and developer workflows that make Radar easy to adopt
- Dig into large-scale authentication data to find fraud and abuse patterns, then design, test, and measure the signals and models that detect them
- Develop a deep understanding of the identity-security landscape and shape Radar’s product direction
- Work directly with customers, including some of the biggest names in AI, to understand their fraud problems, prototype solutions for them, and become a trusted expert they rely on
- Maintain a strong focus on reliability, security, correctness, and observability across the stack
- Collaborate with other product teams, solutions engineering, and our go-to-market team
- Work directly with leadership on greenfield ideas
- Help recruit and assess future engineering team members
Qualifications 🌟
- 5+ years of industry software development experience
- Comfort working with data at scale - querying, analyzing, and drawing sound conclusions from large datasets
- Background in large-scale systems, real-time pipelines, or event-driven architectures
- Intellectually curious and data-driven, with a scientific mindset - you like forming hypotheses, testing them against data, and measuring the impact of what you build
- A growth mindset, high emotional intelligence, and strong communication skills
- Bonus: Experience with machine learning, anomaly detection, or fraud and abuse detection
- Bonus: Experience in B2B SaaS, developer tools, or a related industry
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: San Francisco
Workplace: Hybrid
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
About the role 💭
We’re hiring an experienced Engineering Manager to lead a team of engineers at WorkOS. We’re looking for a leader who is excited to manage engineers, but approaches the role as a startup founding member would.
This role is ideal for someone with a builder’s DNA and you will play a key role in shaping product decisions, driving technical strategy, and empowering your team to execute on high-impact projects.
You will also play a pivotal role in scaling the team, recruiting exceptional engineers. You’re not just excited about software—you’re obsessed with building the best developer platform.
Responsibilities ✔️
- Build and lead high-velocity teams that ship product fast and with polish
- Be deeply technical and hands-on: read the PRs, write prototypes, jump into the weeds
- Take raw ideas and turn them into working systems, even if you have to duct tape the first version
- Rally your team even when there is ambiguity, setbacks, or tough customer asks—run through walls when needed
- Push for clarity, focus, and high energy in every sprint. Drive urgency without burning people out
- Drive alignment on the roadmap and become an expert on customer needs related to the product areas your team owns
- Spend time with customers and engineers alike—digging into pain points, testing assumptions, and improving the craft
- Coach, mentor, and build a team of curious, scrappy, driven engineers—people who want to grow fast and build great things
Qualifications 🌟
- Track record of having successfully led product-focused engineering teams in high-performing organizations that shipped real impact
- You've written code at a high level, and you still love to get your hands dirty. You view leadership as an amplifier, not a step back
- Bias for action and scrappiness: You don’t over-optimize for process. You optimize for velocity, customer value, and learning
- You deeply care about the developer experience. You think about UX, APIs, performance, edge cases, and joy
- You ask "why" obsessively, and you push yourself (and your team) to learn constantly
- You build trust, give direct feedback, and create space for engineers to thrive
- You have experience partnering with internal recruiting teams to drive effective and fair hiring processes. You realize that recruiting is a large (and important!) part of your role. A track record of recruiting, hiring, and mentoring top engineering talent.
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: United States & Canada
Workplace: Remote
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
About the Site Reliability Engineering Team
The Site Reliability Engineering (SRE) team ensures the WorkOS platform remains fast, reliable, and resilient at scale. We build the systems and practices that keep everything running smoothly—handling hundreds of millions of requests, minimizing downtime, and continuously improving service performance. Our team works across the stack and collaborates closely with infrastructure and product engineering teams. We embed reliability into everything we do—whether it’s designing scalable systems, improving observability, or leading incident response. If you’re motivated by complex systems, passionate about uptime and performance, and excited to make reliability a first-class concern—this role offers the opportunity to make a lasting impact.
Who we’re looking for
We’re looking for engineers who are excited to improve the reliability of complex systems and enjoy digging into how things work. As an early member of the SRE team, you’ll help shape our approach to reliability at scale and collaborate closely across the company. You might be a great fit if you:
- Bring a generalist mindset and are comfortable working across infrastructure layers—from compute and networking to storage, databases, and app runtime environments
- Are curious and proactive, with a strong desire to understand systems end-to-end and uncover hidden failure modes
- Care deeply about uptime, observability, and performance, and see reliability as a product feature
- Think through architectural trade-offs with reliability, simplicity, and maintainability in mind
- Take initiative, work independently, and follow through—from identifying reliability risks to driving improvements
- Collaborate well with engineers across disciplines and enjoy supporting teams through production readiness, incident response, and postmortem reviews
Responsibilities ✔️
- Design and evolve the systems, tooling, and processes that improve the reliability and performance of WorkOS
- Collaborate with product and infrastructure teams to ensure services are production-ready, observable, and resilient to failure
- Define and measure SLIs/SLOs to guide reliability improvements
- Write and optimize backend systems (in TypeScript) with a focus on performance, maintainability, and graceful degradation
- Improve our incident response process, lead postmortems, and drive follow-through on reliability risks
- Develop internal tools and automations that make it easier to operate and scale our systems
- Participate in our on-call rotation—responding to, resolving, and learning from production incidents
- Contribute to design and architecture discussions with a focus on operability and long-term sustainability
- Document systems, share learnings, and help grow a reliability-minded engineering culture
Qualifications 🌟
- Based in PST/PDT timezone
- Experience operating and scaling production systems in cloud environments (we use AWS)
- Familiarity with service reliability concepts—monitoring, alerting, incident response, and root cause analysis
- Comfort working across infrastructure layers (e.g. compute, networking, storage, observability tooling)
- Strong debugging and systems thinking skills—you can follow problems across services and layers
- Ability to work independently, take ownership, and drive projects from problem discovery through resolution
Nice to have
- Familiarity with Kubernetes or similar orchestration systems
- Exposure to observability stacks (e.g. Prometheus, Grafana, Datadog, OpenTelemetry)
- Exposure to TypeScript or interest in working in a TypeScript-based codebase
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: United States & Canada
Workplace: Remote
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
ABOUT THE ROLE 💭
The Platform team builds the shared backend components and development systems that every WorkOS product, workflow, and team member depends on.
On the platform side, we build common backend capabilities used across WorkOS, including our events infrastructure, webhooks, email delivery, outbox-pattern queues, and more. These systems allow product teams to scale without rebuilding the same critical primitives. Because they sit on critical paths across our products, scalability, latency, consistency, reliability, and operational simplicity matter deeply.
On the productivity side, we build the systems that take code from an idea to production, including CI/CD, build and test infrastructure, deployment workflows, and internal tooling. As agents play a larger role in software development and increase the volume of code and concurrent changes, we are rethinking this platform to scale with that volume through safe execution, fast feedback, relevant context, and verifiable outcomes.
Our internal teams are our customers. Success means they can build and operate products faster, adopt shared capabilities instead of creating one-off solutions, and confidently delegate more work to agents.
WHAT YOU’LL WORK ON ✔️
- Design, build, and operate high-throughput, low-latency shared backend systems that preserve consistency and durability through retries, duplicates, reordering, partial failures, and high concurrency
- Create platform interfaces, abstractions, and paved paths with a clean developer experience that makes shared capabilities easy for product teams to adopt
- Rotate across and embed with product teams to experience their workflows directly, understand their friction, and use those insights to shape platform investments
- Map evolving product-team needs and collaborate with the Foundations team to introduce new systems and primitives, such as scalable search, database partitioning, and archival strategies
- Own and evolve our CI/CD, build, test, deployment, and release infrastructure to shorten feedback loops and make production changes safer
- Reimagine CI/CD for an agentic software development lifecycle by building isolated, reproducible, and verifiable execution environments, along with automated loops that allow agents to diagnose failures, update changes, rerun validation, and safely move work through review, deployment, and production verification
- Instrument the entire software development lifecycle and use metrics such as feedback time, CI reliability, deployment frequency, lead time, and change failure rate to identify bottlenecks and verify that platform investments improve engineering outcomes
- Own platform reliability end to end, including observability, capacity planning, incident response, root-cause analysis, and prevention
- Shape the long-term platform strategy with a high bar for introducing new infrastructure. Thoroughly evaluate vendors and existing solutions, make deliberate build-versus-buy decisions, and account for operational complexity, lock-in, migration cost, reversibility, and long-term ownership
WHAT WE’RE LOOKING FOR 🌟
- 8+ years of software development experience, with a track record of owning high-impact technical projects
- Experience building and operating distributed systems or platform services at scale, with a strong understanding of event-driven systems, queues, concurrency, idempotency, consistency, backpressure, retries, and failure recovery
- Experience building or operating CI/CD, build systems, test infrastructure, deployment platforms, or similar developer tooling
- A track record of designing platforms, frameworks, and tooling with a clean developer experience that makes complex capabilities easy for other engineers to adopt and operate
- Strong operational instincts across observability, capacity planning, incident response, and reliability
- Hands-on experience with AI coding agents, or a strong interest in building agentic CI/CD systems, verifiable execution environments, automated feedback loops, evaluations, and verification
- Exceptional pragmatism and technical judgment. You treat major infrastructure changes with the gravity they deserve and make deliberate, evidence-based decisions about when to build, buy, or improve an existing system
- Ability to move between long-term architecture and hands-on implementation while making thoughtful tradeoffs in an ambiguous environment
- Strong written and verbal communication skills, including experience documenting systems and influencing technical direction across teams
- Familiarity with TypeScript, Node.js, React, Postgres, AWS, Terraform, and queueing or streaming systems such as SQS and Kinesis is helpful, but not required
We expect strong depth in either distributed platform systems or developer infrastructure, along with an interest in working across both.
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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
We are looking for a Technical CBRN-E Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for Chemical, Biological, Radiological, Nuclear, and Explosives (CBRN-E) threats. We are particularly interested in candidates with deep expertise in either chemical defense or biodefense.
You will work at the intersection of AI safety and CBRN security, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against threat actors who may attempt to leverage our AI technology for developing weapons, synthesizing dangerous compounds, or creating biological harm. Your specialized domain expertise will be critical to protecting against some of the most serious potential misuses of AI systems.
Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.
Responsibilities
Detect and investigate attempts to misuse Anthropic's AI systems for developing, enhancing, or disseminating CBRN-E weapons, pathogens, toxins, or other threats to harm people, critical infrastructure, or the environment
Conduct technical investigations using SQL, Python, and other tools to analyze large datasets, trace user behavior patterns, and uncover sophisticated CBRN-E threat actors
Develop CBRN-E-specific detection capabilities, including abuse signals, tracking strategies, and detection methodologies tailored to dual-use research concerns
Create actionable intelligence reports on CBRN-E attack vectors, vulnerabilities, and threat actor TTPs leveraging AI systems
Conduct cross-platform threat analysis grounded in real threat actor behavior, open-source research, and publicly reported programs
Collaborate with policy and enforcement teams to make informed decisions about user violations and ensure appropriate mitigation actions
Engage with external stakeholders including government agencies, regulatory bodies, scientific organizations, and biosecurity/chemical security research communities
Inform safety-by-design strategies by forecasting how threat actors may leverage advances in AI technology for CBRN-E purposes
You may be a good fit if you
Have deep domain expertise in biosecurity, chemical defense, biological weapons non-proliferation, dual-use research of concern (DURC), synthetic biology, or related CBRN-E threat domains
Have demonstrated proficiency in SQL and Python for data analysis and threat detection
Have experience with threat actor profiling and utilizing threat intelligence frameworks
Have hands-on experience with large language models and understanding of how AI technology could be misused for CBRN-E threats
Have excellent stakeholder management skills and ability to work with diverse teams including researchers, policy experts, legal teams, and external partners
Can present analytical work to both technical and non-technical audiences, including government stakeholders and senior leadership
Strong candidates may also have
Advanced degree (MS or PhD) in biological sciences, chemistry, biodefense, biosecurity, or related field
Real-world experience countering weapons of mass destruction or other high-risk asymmetric threats
Experience working with government agencies or in regulated environments dealing with sensitive CBRN-E information
Background in AI safety, machine learning security, or technology abuse investigation
Familiarity with synthetic biology, biotechnology, or dual-use research
Experience building and scaling threat detection systems or abuse monitoring programs
Active Top Secret security clearance
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:
$230,000
—
$290,000 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: San Francisco, CA; 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
We are looking for a Technical Cyber Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for malicious cyber operations.
You will work at the intersection of AI safety and cybersecurity, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against emerging cyber threats in the rapidly evolving landscape of AI-enabled risks. Your work will directly protect the broader ecosystem from sophisticated threat actors who seek to leverage AI technology for harm.
Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.
Responsibilities
Detect and investigate attempts to misuse Anthropic's AI systems for cyber operations, including influence operations, malware development, social engineering, and other adversarial activities
Develop abuse signals and tracking strategies to proactively detect sophisticated threat actors across our platform
Create actionable intelligence reports on new attack vectors, vulnerabilities, and threat actor TTPs targeting LLM systems
Conduct cross-platform threat analysis grounded in real threat actor behavior, using open-source research, dark web monitoring, and internal data
Utilize investigation findings to implement systematic improvements to our safety approach and mitigate harm at scale
Study trends internally and in the broader ecosystem to anticipate how AI systems could be misused, generating and publishing reports
Build and maintain relationships with external threat intelligence partners, information sharing communities, and government stakeholders
Work cross-functionally to build out our threat intelligence program, establishing processes, tools, and best practices
You may be a good fit if you
Have demonstrated proficiency in SQL and Python for data analysis and threat detection
Have experience with large language models and understanding of how AI technology could be misused for cyber threats
Have subject matter expertise in abusive user behavior detection, such as influence operations, coordinated inauthentic behavior, or cyber threat intelligence
Have experience tracking threat actors across surface, deep, and dark web environments
Can derive insights from large datasets to make key decisions and recommendations
Have experience with threat actor profiling and utilizing threat intelligence frameworks (MITRE ATT&CK, etc.)
Have strong project management skills and ability to build processes from the ground up
Possess excellent communication skills to collaborate with cross-functional teams and present to leadership
Strong candidates may also have
Experience working with government agencies or in regulated environments
Background in AI safety, machine learning security, or technology abuse investigation
Experience building and scaling threat detection systems or abuse monitoring programs
Active Top Secret security clearance
Deadline to apply
None. Applications will be reviewed on a rolling basis.
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:
$230,000
—
$290,000 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: 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
We are looking for research engineers to build the safety and oversight mechanisms that govern how our models handle biological knowledge. As a bio safety researcher, you will spend your time: designing and running capability evaluations against frontier models, generating and curating training data for our safety classifiers, training and iterating on those classifiers alongside our ML engineers, and measuring how they hold up against adversarial pressure in production traffic.
This work sits at the intersection of applied ML and biosecurity. You will help define what responsible AI safety looks like in the biological domain, translating threat models into evals, datasets, and deployed systems. The core technical tension you will own is precision: safeguards need to be robust against sophisticated actors while staying out of the way of the far larger population of legitimate researchers using Claude to accelerate life sciences work. Getting that tradeoff right is an empirical problem, and you will be the person measuring it.
You do not need to be an ML researcher today. We are looking for strong scientific programmers with real depth in modern biology who want to bring that depth to bear on model evaluation and classifier development.
Key responsibilities
Design, build, and run capability evaluations to assess what new models can do in the biological domain, and turn results into concrete deployment recommendations
Develop training and evaluation datasets for our safety classifiers, working with internal and external threat modeling experts to ground them in realistic risk
Train, tune, and iterate on safety classifiers with ML engineers, optimizing jointly for adversarial robustness and low false-positive rates
Build the tooling and pipelines that make evaluation and classifier development fast and repeatable
Analyze classifier and eval performance against production traffic, identify gaps, and prioritize improvements
Design and run red-teaming and stress-testing of safeguards as threats, models, and product surfaces evolve
Partner with Research, Product, and Policy teams to embed biological safety throughout the model development lifecycle
Contribute to external communications including model cards, blog posts, and policy documents
Track developments in biology, ML, and biosecurity for their potential to create new risks or enable new mitigations
Minimum qualifications
Strong proficiency in Python, and extensive background in scientific programming and data analysis skills
Excellent grasp of ML fundamentals and an ability to rapidly adopt ML development practices
Excellent knowledge of modern biology across both measurement and engineering: high-throughput assays and functional characterization, as well as gene synthesis, genome editing, strain construction, and protein engineering
Ability to build and maintain your own tooling rather than relying on others to implement your ideas
Experience designing quantitative experiments or evaluations and drawing defensible conclusions from noisy results
Strong analytical and writing skills, and the ability to explain technical concepts to non-technical stakeholders
Familiarity with dual-use research concerns and biosecurity frameworks, such as select agent regulations, the Biological Weapons Convention, or Australia Group guidelines
Comfort with ambiguity and with shifting priorities as AI capabilities change
Can work independently while maintaining strong collaboration with cross-functional teams
Are results-oriented, with a bias towards flexibility and impact
Thrive in a fast-paced research environment where you balance rigorous scientific standards with rapid iteration
Preferred qualifications
Experience working with large language models, including prompting, fine-tuning, or evaluation
Experience training or deploying classifiers or other ML systems in production
Experience developing ML methods for biological systems or biological data
Familiarity with adversarial robustness, red-teaming, or safety evaluation of ML systems
Have at least 8 years of hands-on experience in life sciences, with deep expertise in areas such as molecular biology, drug discovery, or computational biology
Experience leading complex technical projects across multiple stakeholder groups
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:
$300,000
—
$405,000 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: Riyadh, Saudi Arabia
Müller's Solutions is seeking an innovative Educational Motion Graphics Designer to join our dynamic team. In this role, you will be responsible for creating engaging and informative motion graphics that enhance our educational content, making learning more interactive and visually appealing. Your expertise in animation and design will play a crucial role in delivering impactful educational experiences.
As an Educational Motion Graphics Designer, you will collaborate with subject matter experts, educators, and multimedia teams to develop content that effectively communicates ideas and concepts through animation. You will transform scripts and storyboards into stunning motion graphics that captivate and educate audiences.
Responsibilities:
Design and produce high-quality motion graphics for educational videos, presentations, and online courses.
Collaborate with instructional designers and content creators to understand educational objectives and translate them into compelling visuals.
Create storyboards and visual treatment plans to outline animation sequences and illustrate how concepts will be presented.
Use animation software to develop eye-catching graphics that enhance the learning experience.
Incorporate feedback from team members to iterate and refine designs, ensuring alignment with educational goals.
Stay current with trends in motion graphics and educational technology to continuously improve the quality of output.
Manage multiple projects simultaneously while adhering to deadlines and production schedules.
Requirements
Requirements:
Bachelor's degree in Animation, Graphic Design, Multimedia Arts, or a related field.
Proven experience as a Motion Graphics Designer or similar role, with a strong portfolio that demonstrates your animation skills.
Proficiency in motion graphics software, such as Adobe After Effects, Premiere Pro, and Cinema 4D.
Strong understanding of design principles, color theory, and visual storytelling techniques.
Experience in creating educational content or working within the edtech industry is a plus.
Excellent communication and collaboration skills to work effectively with cross-functional teams.
Strong organizational skills and the ability to manage multiple projects and deadlines.
Preferred qualifications:
Familiarity with instructional design principles and e-learning methodologies.
Ability to create engaging narratives that help simplify complex concepts.
Knowledge of audio editing and graphic design is an advantage.
3+ years of experience in motion graphics design.
Soft Skills:
Creative problem-solving skills with a passion for storytelling through design.
A proactive attitude and willingness to experiment with new ideas and techniques.
Strong attention to detail and a commitment to delivering high-quality work.
Location: Riyadh, Saudi Arabia
Müller's Solutions is on the lookout for a detail-oriented E-Learning Quality Assurance Specialist to join our dynamic team. In this vital role, you will be instrumental in ensuring the quality and effectiveness of our e-learning products, helping to create engaging and impactful learning experiences. Collaborating closely with our instructional designers, developers, and subject matter experts, you will evaluate the usability, functionality, and overall quality of our e-learning content.
Key Responsibilities:
Thoroughly review e-learning modules for accuracy and alignment with established learning objectives.
Conduct usability testing and provide feedback on the learner experience, ensuring it is intuitive and seamless.
Identify, document, and track defects or inconsistencies in e-learning content.
Work alongside instructional designers to improve content based on testing and feedback.
Perform compatibility checks across various devices, browsers, and learning management systems (LMS).
Establish and maintain quality assurance standards and protocols for e-learning development.
Offer training and support to team members regarding quality assurance processes.
Stay updated on the latest trends in e-learning and quality assurance methodologies.
Requirements
Requirements:
Bachelor’s degree in Education, Instructional Design, Computer Science, or a related area.
At least 3 years of experience in quality assurance or testing within the e-learning or digital education sector.
Proficiency with e-learning authoring tools such as Articulate Storyline or Adobe Captivate.
Experience with learning management systems (LMS) and familiarity with SCORM/AICC standards.
Strong knowledge of instructional design principles and adult learning strategies.
Exceptional analytical skills and attention to detail.
Outstanding communication and collaboration skills to work effectively in a team environment.
Ability to manage multiple projects and prioritize tasks in a fast-paced setting.
Experience with user experience (UX) testing is an added advantage.
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
Riyadh, Saudi Arabia
ОфисSingapore
South Africa
УдалённоUnited States & Canada; Benefits and Perks (US Only) 💖
ГибридSan Francisco; Benefits and Perks (US Only) 💖
УдалённоUnited States & Canada; Based in PST/PDT timezone; Benefits and Perks (US Only) 💖
УдалённоUnited States & Canada; Benefits and Perks (US Only) 💖
San Francisco, CA | New York City, NY | Washington, DC
San Francisco, CA; San Francisco, CA | New York City, NY | Washington, DC